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Profound Hypoxemia in a Patient With Hypertriglyceridemia-Induced Pancreatitis
Profound Hypoxemia in a Patient With Hypertriglyceridemia-Induced Pancreatitis
Acute pancreatitis can be associated with multiorgan system failure, including respiratory failure, which has a high mortality rate. Acute respiratory distress syndrome (ARDS) is a known complication of severe, acute pancreatitis, and is fatal in up to 40% of cases. Mortality rates exceed 80% in patients with PaO2/FiO2 < 100 mm Hg.2 Although ARDS is typically associated with bilateral pulmonary infiltrates, severe hypoxemia in pancreatitis may not be visible in radiography in up to 50% of cases.1
Hypertriglyceridemia is the third-most common cause of acute pancreatitis, with an incidence of 2% to 10% among patients diagnosed with acute pancreatitis.3.4 Elevated serum triglycerides have been proposed to trigger acute pancreatitis by increasing plasma viscosity, which leads to ischemia and inflammation of the pancreas.4 In severe cases of hypertriglyceridemia-induced acute pancreatitis, plasmapheresis is used to rapidly reduce serum chylomicron and triglyceride levels.3
This case report discusses a patient with acute pancreatitis whose hypoxemia coincided with the severity of hypertriglyceridemia, but without radiographic evidence of pulmonary infiltrates or other known pulmonary causes.
Case Presentation
A 60-year-old male presented to the emergency department with several hours of diffuse abdominal pain, nausea, and vomiting. The patient reported that his symptoms began after eating fried chicken. He reported no dyspnea, fever, chills, or other symptoms. His medical history included type 2 diabetes (hemoglobin A1c, 11.1%), Hashimoto hypothyroidism, severe obstructive sleep apnea not on continuous positive airway pressure (apnea-hypoxia index, 59/h), and obesity (body mass index, 52). Initial vital signs were afebrile, heart rate of 90 beats/min, and oxygen saturation (SpO2) of 85% on 6L oxygen via nasal cannula. He was admitted to the intensive care unit and quickly maximized on high flow nasal cannula, ultimately requiring endotracheal intubation and mechanical ventilation.
Initial laboratory studies were remarkable for serum sodium of 120 mmol/L (reference range, 136-146 mmol/L), creatinine of 1.65 mg/dL (reference range, 0.52-1.28 mg/dL), anion gap of 18 mEq/L (reference range, 3-11 mEq/L), lipase level of 1115 U/L (reference range, 11-82 U/L), glucose level of 334 mg/dL (reference range, 70-110 mg/dL), white blood count of 13.1 K/uL (reference range, 4.5-11.0 K/uL), lactate level of 3.8 mmol/L (reference range, 0.5-2.2 mmol/L), triglyceride level of 1605 mg/dL (reference range, 40-160 mg/dL), cholesterol level of 565 mg/dL (reference range, < 200 mg/dL), aminotransferase of 21 U/L (reference range, 13-36 U/L), alanine aminotransferase of < 3 U/L (reference range, 7-45 U/L), and total bilirubin level of 1.6 mg/dL (reference range, 0.2-1 mg/dL).
The patient had an initial arterial blood gas pH of 7.26, partial pressure of CO2 and O2 of 64.1 mm Hg and 74.1 mm Hg, respectively, on volume control with a tidal volume of 500 mL, positive end-expiratory pressure of 10 cm H2O, respiratory rate of 26 breaths/min, and FiO2 was 100%, which yielded a PaO2/FiO2 of 74 mm Hg. The patient was maintained in steep reverse-Trendelenburg position with moderate improvement in his SpO2.
Chest X-ray and computed tomography angiogram did not reveal pleural effusions, pulmonary infiltrates, or pulmonary embolism (Figure 1). Computed tomography of the abdomen and pelvis demonstrated severe acute interstitial edematous pancreatitis with no evidence of pancreatic necrosis or evidence of gallstones (Figure 2). A transthoracic echocardiogram with bubble was negative for intracardiac right to left shunting.
The leading diagnosis was ARDS secondary to acute pancreatitis with hypoxemia exacerbated by morbid obesity and untreated obstructive sleep apnea leading to hypoventilation.
Treatment
The patient was intubated and restricted to nothing by mouth and provided fluid resuscitation with crystalloids. On hospital day 1, he remained intubated and on mechanical ventilation, started on plasmapheresis and continued insulin infusion for severe hypertriglyceridemia. The patient’s PaO2/FiO2 ratio remained persistently < 100 mm Hg despite maximal ventilatory support. After 3 sessions of plasmapheresis, the serum triglyceride levels and oxygen requirements improved (Figure 3).

Due to prolonged intubation, the patient ultimately required a tracheostomy. By hospital day 48, the patient was successfully weaned off mechanical ventilation. His tracheostomy was decannulated uneventfully on hospital day 55 and the stoma was closed. The patient was discharged to a skilled nursing home for rehabilitation and received intensive physical therapy for deconditioning from prolonged hospitalization.
Discussion
Respiratory insufficiency is a common and potentially lethal complication observed in one-third of patients with acute pancreatitis.1 Radiographic evidence of pleural effusions, atelectasis and pulmonary infiltrates are often present. Acute lung injury (ALI) and ARDS are the most severe pulmonary complications of acute pancreatitis.5 It has been proposed that ALI and ARDS are driven by a hyperinflammatory state, which has multiple downstream effects. Pulmonary parenchymal and vascular damage has been associated with activated proinflammatory cytokines, trypsin, phospholipase A, and free fatty acids (Figure 4).1

Hypoxemia secondary to acute pancreatitis may occur without initial radiographic findings and has been observed in up to half of patients.1 Hypoxemia in ARDS occurs due to ventilation-perfusion defects causing gas exchange impairments which may be worsened further by high distending volumes and pressures on mechanical ventilation, dyssynchronous breathing, and/or lung derecruitment.6 Patients who require intubation for pancreatitis-associated ALI or ARDS eventually exhibit imaging findings consistent with their disease.1 The patient in this case exhibited severe hypoxemia for several days despite persistently negative radiographic studies. His history of obstructive sleep apnea and a body mass index of 52 may have contributed to respiratory failure; however, assessment of other contributors to the acute and profound hypoxemia yielded largely unremarkable results. The patient did not have a history or evidence of heart failure and his hypoxemia did not improve with diuresis. He tested positive for COVID-19 on admission and was briefly treated with remdesivir and dexamethasone, but it was determined that the test was likely a false positive due to negative subsequent tests and elevated cycle thresholds (> 40). A concomitant COVID-19 infection likely did not contribute to his symptoms.
Ventilation-perfusion mismatch is a well-recognized complication of pancreatitis, which results in right-to-left shunting.5 While we considered whether an intracardiac shunt may have contributed to the patient’s hypoxemia, a transthoracic echocardiogram with bubble contrast was negative.
The patient had a peak serum triglyceride of > 6000 mg/dl, which meets the criteria for very severe hypertriglyceridemia.7 As observed in prior reports, the extent of the hypertriglyceridemia in this patient resulted in pronounced lipemic blood, which was appreciable by the eye and necessitated several rounds of centrifugation to analyze the laboratory studies.8 In this case, plasmapheresis was used to rapidly treat the hypertriglyceridemia, thereby reducing inflammation and further damage to the pancreas.9
It is possible the patient’s hypertriglyceridemia may have been associated with his hypoxemia. His hypoxemia was most pronounced approximately 24 hours postadmission, which coincided with the peak of the hypertriglyceridemia. It remains unclear whether the severity of triglyceride elevation could accurately predict the severity of respiratory insufficiency. Hypoxemia is thought to modulate triglyceride metabolism through stimulation of intracellular lipolysis, upregulation of very low-density lipoproteins production in the liver, and inhibition of triglyceride-rich lipoprotein metabolism.10 Evidence from rodent studies supports the idea that acute hypoxemia increases triglycerides, and the degree of hypoxemia correlates with the elevated triglyceride levels.11 However, this has not been consistently observed in humans and may vary by prandial state.12,13 Thus, dysfunction of lipid metabolism may be a relevant clinical indicator of hypoxemia; further work is needed to elucidate this association.
Patient Perspective
The patient continues to undergo extensive rehabilitation following his prolonged illness and hospitalization. He expressed gratitude for the care received. However, he has limited and distorted recollection of the events during his hospitalization and stated that it felt “like an extraterrestrial state.”
Conclusions
This report describes a case of marked hypoxemia in the setting of acute pancreatitis. Pulmonary insufficiency in acute pancreatitis is commonly associated with imaging findings such as atelectasis, pleural effusions, and pulmonary infiltrates; however, up to half of cases initially lack any radiographic findings. Plasmapheresis is an effective treatment for hypertriglyceridemia-induced pancreatitis to both directly reduce circulating triglycerides and inflammation. Plasmapheresis also represents a promising therapy for the prevention of further episodes of pancreatitis in patients with recurrent pancreatitis. We propose a feedback mechanism through which pancreatitis induces severe hypoxemia, which may modulate lipid metabolism and severe hypertriglyceridemia correlates with respiratory failure.
- Zhou M-T, Chen C-S, Chen B-C, Zhang Q-Y, Andersson R. Acute lung injury and ARDS in acute pancreatitis: mechanisms and potential intervention. World J Gastroenterol. 2010;16(17):2094-2099. doi:10.3748/wjg.v16.i17.2094
- Peek GJ, White S, Scott AD, et al. Severe acute respiratory distress syndrome secondary to acute pancreatitis successfully treated with extracorporeal membrane oxygenation in three patients. Ann Surg. 1998;227(4):572-574. doi:10.1097/00000658-199804000-00020
- Searles GE, Ooi TC. Underrecognition of chylomicronemia as a cause of acute pancreatitis. Can Med Assoc J. 1992;147(12):1806-1808.
- de Pretis N, Amodio A, Frulloni L. Hypertriglyceridemic pancreatitis: Epidemiology, pathophysiology and clinical management. United European Gastroenterol J. 2018;6(5):649-655. doi:10.1177/2050640618755002
- Ranson JH, Turner JW, Roses DF, et al. Respiratory compli cations in acute pancreatitis. Ann Surg. 1974;179(5):557-566. doi:10.1097/00000658-197405000-00006 6. Swenson KE, Swenson ER. Pathophysiology of acute respiratory distress syndrome and COVID-19 lung injury. Crit Care Clin. 2021;37(4):749-776. doi:10.1016/j.ccc.2021.05.003
- Swenson KE, Swenson ER. Pathophysiology of acute respiratory distress syndrome and COVID- 19 lung injury. Crit Care Clin. 2021;37(4):749-776. doi:10.1016/j.ccc.2021.05.003
- Berglund L, Brunzell JD, Goldberg AC, et al. Evaluation and treatment of hypertriglyceridemia: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97(9):2969-2989. doi:10.1210/jc.2011-3213
- Ahern BJ, Yi HJ, Somma CL. Hypertriglyceridemia-induced pancreatitis and a lipemic blood sample: a case report and brief clinical review. J Emerg Nurs. 2022;48(4):455-459. doi:10.1016/j.jen.2022.02.001
- Garg R, Rustagi T. Management of hypertriglyceridemia induced acute pancreatitis. Biomed Res Int. 2018;2018:4721357. doi:10.1155/2018/4721357
- Morin R, Goulet N, Mauger J-F, Imbeault P. Physiological responses to hypoxia on triglyceride levels. Front Physiol. 2021;12:730935. doi:10.3389/fphys.2021.730935
- Jun JC, Shin M-K, Yao Q, et al. Acute hypoxia induces hypertriglyceridemia by decreasing plasma triglyceride clearance in mice. Am J Physiol Endocrinol Metab. 2012;303(3):E377-88. doi:10.1152/ajpendo.00641.2011
- Mahat B, Chassé É, Lindon C, Mauger J-F, Imbeault P. No effect of acute normobaric hypoxia on plasma triglyceride levels in fasting healthy men. Appl Physiol Nutr Metab. 2018;43(7):727-732. doi:10.1139/apnm-2017-0505
- Mauger J-F, Chassé É, Mahat B, Lindon C, Bordenave N, Imbeault P. The effect of acute continuous hypoxia on triglyceride levels in constantly fed healthy men. Front Physiol. 2019;10:752. doi:10.3389/fphys.2019.00752
Acute pancreatitis can be associated with multiorgan system failure, including respiratory failure, which has a high mortality rate. Acute respiratory distress syndrome (ARDS) is a known complication of severe, acute pancreatitis, and is fatal in up to 40% of cases. Mortality rates exceed 80% in patients with PaO2/FiO2 < 100 mm Hg.2 Although ARDS is typically associated with bilateral pulmonary infiltrates, severe hypoxemia in pancreatitis may not be visible in radiography in up to 50% of cases.1
Hypertriglyceridemia is the third-most common cause of acute pancreatitis, with an incidence of 2% to 10% among patients diagnosed with acute pancreatitis.3.4 Elevated serum triglycerides have been proposed to trigger acute pancreatitis by increasing plasma viscosity, which leads to ischemia and inflammation of the pancreas.4 In severe cases of hypertriglyceridemia-induced acute pancreatitis, plasmapheresis is used to rapidly reduce serum chylomicron and triglyceride levels.3
This case report discusses a patient with acute pancreatitis whose hypoxemia coincided with the severity of hypertriglyceridemia, but without radiographic evidence of pulmonary infiltrates or other known pulmonary causes.
Case Presentation
A 60-year-old male presented to the emergency department with several hours of diffuse abdominal pain, nausea, and vomiting. The patient reported that his symptoms began after eating fried chicken. He reported no dyspnea, fever, chills, or other symptoms. His medical history included type 2 diabetes (hemoglobin A1c, 11.1%), Hashimoto hypothyroidism, severe obstructive sleep apnea not on continuous positive airway pressure (apnea-hypoxia index, 59/h), and obesity (body mass index, 52). Initial vital signs were afebrile, heart rate of 90 beats/min, and oxygen saturation (SpO2) of 85% on 6L oxygen via nasal cannula. He was admitted to the intensive care unit and quickly maximized on high flow nasal cannula, ultimately requiring endotracheal intubation and mechanical ventilation.
Initial laboratory studies were remarkable for serum sodium of 120 mmol/L (reference range, 136-146 mmol/L), creatinine of 1.65 mg/dL (reference range, 0.52-1.28 mg/dL), anion gap of 18 mEq/L (reference range, 3-11 mEq/L), lipase level of 1115 U/L (reference range, 11-82 U/L), glucose level of 334 mg/dL (reference range, 70-110 mg/dL), white blood count of 13.1 K/uL (reference range, 4.5-11.0 K/uL), lactate level of 3.8 mmol/L (reference range, 0.5-2.2 mmol/L), triglyceride level of 1605 mg/dL (reference range, 40-160 mg/dL), cholesterol level of 565 mg/dL (reference range, < 200 mg/dL), aminotransferase of 21 U/L (reference range, 13-36 U/L), alanine aminotransferase of < 3 U/L (reference range, 7-45 U/L), and total bilirubin level of 1.6 mg/dL (reference range, 0.2-1 mg/dL).
The patient had an initial arterial blood gas pH of 7.26, partial pressure of CO2 and O2 of 64.1 mm Hg and 74.1 mm Hg, respectively, on volume control with a tidal volume of 500 mL, positive end-expiratory pressure of 10 cm H2O, respiratory rate of 26 breaths/min, and FiO2 was 100%, which yielded a PaO2/FiO2 of 74 mm Hg. The patient was maintained in steep reverse-Trendelenburg position with moderate improvement in his SpO2.
Chest X-ray and computed tomography angiogram did not reveal pleural effusions, pulmonary infiltrates, or pulmonary embolism (Figure 1). Computed tomography of the abdomen and pelvis demonstrated severe acute interstitial edematous pancreatitis with no evidence of pancreatic necrosis or evidence of gallstones (Figure 2). A transthoracic echocardiogram with bubble was negative for intracardiac right to left shunting.
The leading diagnosis was ARDS secondary to acute pancreatitis with hypoxemia exacerbated by morbid obesity and untreated obstructive sleep apnea leading to hypoventilation.
Treatment
The patient was intubated and restricted to nothing by mouth and provided fluid resuscitation with crystalloids. On hospital day 1, he remained intubated and on mechanical ventilation, started on plasmapheresis and continued insulin infusion for severe hypertriglyceridemia. The patient’s PaO2/FiO2 ratio remained persistently < 100 mm Hg despite maximal ventilatory support. After 3 sessions of plasmapheresis, the serum triglyceride levels and oxygen requirements improved (Figure 3).

Due to prolonged intubation, the patient ultimately required a tracheostomy. By hospital day 48, the patient was successfully weaned off mechanical ventilation. His tracheostomy was decannulated uneventfully on hospital day 55 and the stoma was closed. The patient was discharged to a skilled nursing home for rehabilitation and received intensive physical therapy for deconditioning from prolonged hospitalization.
Discussion
Respiratory insufficiency is a common and potentially lethal complication observed in one-third of patients with acute pancreatitis.1 Radiographic evidence of pleural effusions, atelectasis and pulmonary infiltrates are often present. Acute lung injury (ALI) and ARDS are the most severe pulmonary complications of acute pancreatitis.5 It has been proposed that ALI and ARDS are driven by a hyperinflammatory state, which has multiple downstream effects. Pulmonary parenchymal and vascular damage has been associated with activated proinflammatory cytokines, trypsin, phospholipase A, and free fatty acids (Figure 4).1

Hypoxemia secondary to acute pancreatitis may occur without initial radiographic findings and has been observed in up to half of patients.1 Hypoxemia in ARDS occurs due to ventilation-perfusion defects causing gas exchange impairments which may be worsened further by high distending volumes and pressures on mechanical ventilation, dyssynchronous breathing, and/or lung derecruitment.6 Patients who require intubation for pancreatitis-associated ALI or ARDS eventually exhibit imaging findings consistent with their disease.1 The patient in this case exhibited severe hypoxemia for several days despite persistently negative radiographic studies. His history of obstructive sleep apnea and a body mass index of 52 may have contributed to respiratory failure; however, assessment of other contributors to the acute and profound hypoxemia yielded largely unremarkable results. The patient did not have a history or evidence of heart failure and his hypoxemia did not improve with diuresis. He tested positive for COVID-19 on admission and was briefly treated with remdesivir and dexamethasone, but it was determined that the test was likely a false positive due to negative subsequent tests and elevated cycle thresholds (> 40). A concomitant COVID-19 infection likely did not contribute to his symptoms.
Ventilation-perfusion mismatch is a well-recognized complication of pancreatitis, which results in right-to-left shunting.5 While we considered whether an intracardiac shunt may have contributed to the patient’s hypoxemia, a transthoracic echocardiogram with bubble contrast was negative.
The patient had a peak serum triglyceride of > 6000 mg/dl, which meets the criteria for very severe hypertriglyceridemia.7 As observed in prior reports, the extent of the hypertriglyceridemia in this patient resulted in pronounced lipemic blood, which was appreciable by the eye and necessitated several rounds of centrifugation to analyze the laboratory studies.8 In this case, plasmapheresis was used to rapidly treat the hypertriglyceridemia, thereby reducing inflammation and further damage to the pancreas.9
It is possible the patient’s hypertriglyceridemia may have been associated with his hypoxemia. His hypoxemia was most pronounced approximately 24 hours postadmission, which coincided with the peak of the hypertriglyceridemia. It remains unclear whether the severity of triglyceride elevation could accurately predict the severity of respiratory insufficiency. Hypoxemia is thought to modulate triglyceride metabolism through stimulation of intracellular lipolysis, upregulation of very low-density lipoproteins production in the liver, and inhibition of triglyceride-rich lipoprotein metabolism.10 Evidence from rodent studies supports the idea that acute hypoxemia increases triglycerides, and the degree of hypoxemia correlates with the elevated triglyceride levels.11 However, this has not been consistently observed in humans and may vary by prandial state.12,13 Thus, dysfunction of lipid metabolism may be a relevant clinical indicator of hypoxemia; further work is needed to elucidate this association.
Patient Perspective
The patient continues to undergo extensive rehabilitation following his prolonged illness and hospitalization. He expressed gratitude for the care received. However, he has limited and distorted recollection of the events during his hospitalization and stated that it felt “like an extraterrestrial state.”
Conclusions
This report describes a case of marked hypoxemia in the setting of acute pancreatitis. Pulmonary insufficiency in acute pancreatitis is commonly associated with imaging findings such as atelectasis, pleural effusions, and pulmonary infiltrates; however, up to half of cases initially lack any radiographic findings. Plasmapheresis is an effective treatment for hypertriglyceridemia-induced pancreatitis to both directly reduce circulating triglycerides and inflammation. Plasmapheresis also represents a promising therapy for the prevention of further episodes of pancreatitis in patients with recurrent pancreatitis. We propose a feedback mechanism through which pancreatitis induces severe hypoxemia, which may modulate lipid metabolism and severe hypertriglyceridemia correlates with respiratory failure.
Acute pancreatitis can be associated with multiorgan system failure, including respiratory failure, which has a high mortality rate. Acute respiratory distress syndrome (ARDS) is a known complication of severe, acute pancreatitis, and is fatal in up to 40% of cases. Mortality rates exceed 80% in patients with PaO2/FiO2 < 100 mm Hg.2 Although ARDS is typically associated with bilateral pulmonary infiltrates, severe hypoxemia in pancreatitis may not be visible in radiography in up to 50% of cases.1
Hypertriglyceridemia is the third-most common cause of acute pancreatitis, with an incidence of 2% to 10% among patients diagnosed with acute pancreatitis.3.4 Elevated serum triglycerides have been proposed to trigger acute pancreatitis by increasing plasma viscosity, which leads to ischemia and inflammation of the pancreas.4 In severe cases of hypertriglyceridemia-induced acute pancreatitis, plasmapheresis is used to rapidly reduce serum chylomicron and triglyceride levels.3
This case report discusses a patient with acute pancreatitis whose hypoxemia coincided with the severity of hypertriglyceridemia, but without radiographic evidence of pulmonary infiltrates or other known pulmonary causes.
Case Presentation
A 60-year-old male presented to the emergency department with several hours of diffuse abdominal pain, nausea, and vomiting. The patient reported that his symptoms began after eating fried chicken. He reported no dyspnea, fever, chills, or other symptoms. His medical history included type 2 diabetes (hemoglobin A1c, 11.1%), Hashimoto hypothyroidism, severe obstructive sleep apnea not on continuous positive airway pressure (apnea-hypoxia index, 59/h), and obesity (body mass index, 52). Initial vital signs were afebrile, heart rate of 90 beats/min, and oxygen saturation (SpO2) of 85% on 6L oxygen via nasal cannula. He was admitted to the intensive care unit and quickly maximized on high flow nasal cannula, ultimately requiring endotracheal intubation and mechanical ventilation.
Initial laboratory studies were remarkable for serum sodium of 120 mmol/L (reference range, 136-146 mmol/L), creatinine of 1.65 mg/dL (reference range, 0.52-1.28 mg/dL), anion gap of 18 mEq/L (reference range, 3-11 mEq/L), lipase level of 1115 U/L (reference range, 11-82 U/L), glucose level of 334 mg/dL (reference range, 70-110 mg/dL), white blood count of 13.1 K/uL (reference range, 4.5-11.0 K/uL), lactate level of 3.8 mmol/L (reference range, 0.5-2.2 mmol/L), triglyceride level of 1605 mg/dL (reference range, 40-160 mg/dL), cholesterol level of 565 mg/dL (reference range, < 200 mg/dL), aminotransferase of 21 U/L (reference range, 13-36 U/L), alanine aminotransferase of < 3 U/L (reference range, 7-45 U/L), and total bilirubin level of 1.6 mg/dL (reference range, 0.2-1 mg/dL).
The patient had an initial arterial blood gas pH of 7.26, partial pressure of CO2 and O2 of 64.1 mm Hg and 74.1 mm Hg, respectively, on volume control with a tidal volume of 500 mL, positive end-expiratory pressure of 10 cm H2O, respiratory rate of 26 breaths/min, and FiO2 was 100%, which yielded a PaO2/FiO2 of 74 mm Hg. The patient was maintained in steep reverse-Trendelenburg position with moderate improvement in his SpO2.
Chest X-ray and computed tomography angiogram did not reveal pleural effusions, pulmonary infiltrates, or pulmonary embolism (Figure 1). Computed tomography of the abdomen and pelvis demonstrated severe acute interstitial edematous pancreatitis with no evidence of pancreatic necrosis or evidence of gallstones (Figure 2). A transthoracic echocardiogram with bubble was negative for intracardiac right to left shunting.
The leading diagnosis was ARDS secondary to acute pancreatitis with hypoxemia exacerbated by morbid obesity and untreated obstructive sleep apnea leading to hypoventilation.
Treatment
The patient was intubated and restricted to nothing by mouth and provided fluid resuscitation with crystalloids. On hospital day 1, he remained intubated and on mechanical ventilation, started on plasmapheresis and continued insulin infusion for severe hypertriglyceridemia. The patient’s PaO2/FiO2 ratio remained persistently < 100 mm Hg despite maximal ventilatory support. After 3 sessions of plasmapheresis, the serum triglyceride levels and oxygen requirements improved (Figure 3).

Due to prolonged intubation, the patient ultimately required a tracheostomy. By hospital day 48, the patient was successfully weaned off mechanical ventilation. His tracheostomy was decannulated uneventfully on hospital day 55 and the stoma was closed. The patient was discharged to a skilled nursing home for rehabilitation and received intensive physical therapy for deconditioning from prolonged hospitalization.
Discussion
Respiratory insufficiency is a common and potentially lethal complication observed in one-third of patients with acute pancreatitis.1 Radiographic evidence of pleural effusions, atelectasis and pulmonary infiltrates are often present. Acute lung injury (ALI) and ARDS are the most severe pulmonary complications of acute pancreatitis.5 It has been proposed that ALI and ARDS are driven by a hyperinflammatory state, which has multiple downstream effects. Pulmonary parenchymal and vascular damage has been associated with activated proinflammatory cytokines, trypsin, phospholipase A, and free fatty acids (Figure 4).1

Hypoxemia secondary to acute pancreatitis may occur without initial radiographic findings and has been observed in up to half of patients.1 Hypoxemia in ARDS occurs due to ventilation-perfusion defects causing gas exchange impairments which may be worsened further by high distending volumes and pressures on mechanical ventilation, dyssynchronous breathing, and/or lung derecruitment.6 Patients who require intubation for pancreatitis-associated ALI or ARDS eventually exhibit imaging findings consistent with their disease.1 The patient in this case exhibited severe hypoxemia for several days despite persistently negative radiographic studies. His history of obstructive sleep apnea and a body mass index of 52 may have contributed to respiratory failure; however, assessment of other contributors to the acute and profound hypoxemia yielded largely unremarkable results. The patient did not have a history or evidence of heart failure and his hypoxemia did not improve with diuresis. He tested positive for COVID-19 on admission and was briefly treated with remdesivir and dexamethasone, but it was determined that the test was likely a false positive due to negative subsequent tests and elevated cycle thresholds (> 40). A concomitant COVID-19 infection likely did not contribute to his symptoms.
Ventilation-perfusion mismatch is a well-recognized complication of pancreatitis, which results in right-to-left shunting.5 While we considered whether an intracardiac shunt may have contributed to the patient’s hypoxemia, a transthoracic echocardiogram with bubble contrast was negative.
The patient had a peak serum triglyceride of > 6000 mg/dl, which meets the criteria for very severe hypertriglyceridemia.7 As observed in prior reports, the extent of the hypertriglyceridemia in this patient resulted in pronounced lipemic blood, which was appreciable by the eye and necessitated several rounds of centrifugation to analyze the laboratory studies.8 In this case, plasmapheresis was used to rapidly treat the hypertriglyceridemia, thereby reducing inflammation and further damage to the pancreas.9
It is possible the patient’s hypertriglyceridemia may have been associated with his hypoxemia. His hypoxemia was most pronounced approximately 24 hours postadmission, which coincided with the peak of the hypertriglyceridemia. It remains unclear whether the severity of triglyceride elevation could accurately predict the severity of respiratory insufficiency. Hypoxemia is thought to modulate triglyceride metabolism through stimulation of intracellular lipolysis, upregulation of very low-density lipoproteins production in the liver, and inhibition of triglyceride-rich lipoprotein metabolism.10 Evidence from rodent studies supports the idea that acute hypoxemia increases triglycerides, and the degree of hypoxemia correlates with the elevated triglyceride levels.11 However, this has not been consistently observed in humans and may vary by prandial state.12,13 Thus, dysfunction of lipid metabolism may be a relevant clinical indicator of hypoxemia; further work is needed to elucidate this association.
Patient Perspective
The patient continues to undergo extensive rehabilitation following his prolonged illness and hospitalization. He expressed gratitude for the care received. However, he has limited and distorted recollection of the events during his hospitalization and stated that it felt “like an extraterrestrial state.”
Conclusions
This report describes a case of marked hypoxemia in the setting of acute pancreatitis. Pulmonary insufficiency in acute pancreatitis is commonly associated with imaging findings such as atelectasis, pleural effusions, and pulmonary infiltrates; however, up to half of cases initially lack any radiographic findings. Plasmapheresis is an effective treatment for hypertriglyceridemia-induced pancreatitis to both directly reduce circulating triglycerides and inflammation. Plasmapheresis also represents a promising therapy for the prevention of further episodes of pancreatitis in patients with recurrent pancreatitis. We propose a feedback mechanism through which pancreatitis induces severe hypoxemia, which may modulate lipid metabolism and severe hypertriglyceridemia correlates with respiratory failure.
- Zhou M-T, Chen C-S, Chen B-C, Zhang Q-Y, Andersson R. Acute lung injury and ARDS in acute pancreatitis: mechanisms and potential intervention. World J Gastroenterol. 2010;16(17):2094-2099. doi:10.3748/wjg.v16.i17.2094
- Peek GJ, White S, Scott AD, et al. Severe acute respiratory distress syndrome secondary to acute pancreatitis successfully treated with extracorporeal membrane oxygenation in three patients. Ann Surg. 1998;227(4):572-574. doi:10.1097/00000658-199804000-00020
- Searles GE, Ooi TC. Underrecognition of chylomicronemia as a cause of acute pancreatitis. Can Med Assoc J. 1992;147(12):1806-1808.
- de Pretis N, Amodio A, Frulloni L. Hypertriglyceridemic pancreatitis: Epidemiology, pathophysiology and clinical management. United European Gastroenterol J. 2018;6(5):649-655. doi:10.1177/2050640618755002
- Ranson JH, Turner JW, Roses DF, et al. Respiratory compli cations in acute pancreatitis. Ann Surg. 1974;179(5):557-566. doi:10.1097/00000658-197405000-00006 6. Swenson KE, Swenson ER. Pathophysiology of acute respiratory distress syndrome and COVID-19 lung injury. Crit Care Clin. 2021;37(4):749-776. doi:10.1016/j.ccc.2021.05.003
- Swenson KE, Swenson ER. Pathophysiology of acute respiratory distress syndrome and COVID- 19 lung injury. Crit Care Clin. 2021;37(4):749-776. doi:10.1016/j.ccc.2021.05.003
- Berglund L, Brunzell JD, Goldberg AC, et al. Evaluation and treatment of hypertriglyceridemia: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97(9):2969-2989. doi:10.1210/jc.2011-3213
- Ahern BJ, Yi HJ, Somma CL. Hypertriglyceridemia-induced pancreatitis and a lipemic blood sample: a case report and brief clinical review. J Emerg Nurs. 2022;48(4):455-459. doi:10.1016/j.jen.2022.02.001
- Garg R, Rustagi T. Management of hypertriglyceridemia induced acute pancreatitis. Biomed Res Int. 2018;2018:4721357. doi:10.1155/2018/4721357
- Morin R, Goulet N, Mauger J-F, Imbeault P. Physiological responses to hypoxia on triglyceride levels. Front Physiol. 2021;12:730935. doi:10.3389/fphys.2021.730935
- Jun JC, Shin M-K, Yao Q, et al. Acute hypoxia induces hypertriglyceridemia by decreasing plasma triglyceride clearance in mice. Am J Physiol Endocrinol Metab. 2012;303(3):E377-88. doi:10.1152/ajpendo.00641.2011
- Mahat B, Chassé É, Lindon C, Mauger J-F, Imbeault P. No effect of acute normobaric hypoxia on plasma triglyceride levels in fasting healthy men. Appl Physiol Nutr Metab. 2018;43(7):727-732. doi:10.1139/apnm-2017-0505
- Mauger J-F, Chassé É, Mahat B, Lindon C, Bordenave N, Imbeault P. The effect of acute continuous hypoxia on triglyceride levels in constantly fed healthy men. Front Physiol. 2019;10:752. doi:10.3389/fphys.2019.00752
- Zhou M-T, Chen C-S, Chen B-C, Zhang Q-Y, Andersson R. Acute lung injury and ARDS in acute pancreatitis: mechanisms and potential intervention. World J Gastroenterol. 2010;16(17):2094-2099. doi:10.3748/wjg.v16.i17.2094
- Peek GJ, White S, Scott AD, et al. Severe acute respiratory distress syndrome secondary to acute pancreatitis successfully treated with extracorporeal membrane oxygenation in three patients. Ann Surg. 1998;227(4):572-574. doi:10.1097/00000658-199804000-00020
- Searles GE, Ooi TC. Underrecognition of chylomicronemia as a cause of acute pancreatitis. Can Med Assoc J. 1992;147(12):1806-1808.
- de Pretis N, Amodio A, Frulloni L. Hypertriglyceridemic pancreatitis: Epidemiology, pathophysiology and clinical management. United European Gastroenterol J. 2018;6(5):649-655. doi:10.1177/2050640618755002
- Ranson JH, Turner JW, Roses DF, et al. Respiratory compli cations in acute pancreatitis. Ann Surg. 1974;179(5):557-566. doi:10.1097/00000658-197405000-00006 6. Swenson KE, Swenson ER. Pathophysiology of acute respiratory distress syndrome and COVID-19 lung injury. Crit Care Clin. 2021;37(4):749-776. doi:10.1016/j.ccc.2021.05.003
- Swenson KE, Swenson ER. Pathophysiology of acute respiratory distress syndrome and COVID- 19 lung injury. Crit Care Clin. 2021;37(4):749-776. doi:10.1016/j.ccc.2021.05.003
- Berglund L, Brunzell JD, Goldberg AC, et al. Evaluation and treatment of hypertriglyceridemia: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97(9):2969-2989. doi:10.1210/jc.2011-3213
- Ahern BJ, Yi HJ, Somma CL. Hypertriglyceridemia-induced pancreatitis and a lipemic blood sample: a case report and brief clinical review. J Emerg Nurs. 2022;48(4):455-459. doi:10.1016/j.jen.2022.02.001
- Garg R, Rustagi T. Management of hypertriglyceridemia induced acute pancreatitis. Biomed Res Int. 2018;2018:4721357. doi:10.1155/2018/4721357
- Morin R, Goulet N, Mauger J-F, Imbeault P. Physiological responses to hypoxia on triglyceride levels. Front Physiol. 2021;12:730935. doi:10.3389/fphys.2021.730935
- Jun JC, Shin M-K, Yao Q, et al. Acute hypoxia induces hypertriglyceridemia by decreasing plasma triglyceride clearance in mice. Am J Physiol Endocrinol Metab. 2012;303(3):E377-88. doi:10.1152/ajpendo.00641.2011
- Mahat B, Chassé É, Lindon C, Mauger J-F, Imbeault P. No effect of acute normobaric hypoxia on plasma triglyceride levels in fasting healthy men. Appl Physiol Nutr Metab. 2018;43(7):727-732. doi:10.1139/apnm-2017-0505
- Mauger J-F, Chassé É, Mahat B, Lindon C, Bordenave N, Imbeault P. The effect of acute continuous hypoxia on triglyceride levels in constantly fed healthy men. Front Physiol. 2019;10:752. doi:10.3389/fphys.2019.00752
Profound Hypoxemia in a Patient With Hypertriglyceridemia-Induced Pancreatitis
Profound Hypoxemia in a Patient With Hypertriglyceridemia-Induced Pancreatitis
Insights Into Veterans’ Motivations and Hesitancies for COVID-19 Vaccine Uptake: A Mixed-Methods Analysis
Insights Into Veterans’ Motivations and Hesitancies for COVID-19 Vaccine Uptake: A Mixed-Methods Analysis
The SARS-CoV-2 virus has resulted in > 778 million reported COVID-19 cases and > 7 million deaths worldwide. 1 About 70% of the eligible US population has completed a primary COVID-19 vaccination series, yet only 17% have received an updated bivalent booster dose.2 These immunization rates fall below the World Health Organization (WHO) target of 70%.3
Early in the pandemic, US Department of Veterans Affairs (VA) vaccination rates ranged from 46% to 71%.4,5 Ensuring a high level of COVID-19 vaccination in the largest integrated US health care system aligns with the VA priority to provide high-quality, evidence-based care to a patient population that is older and has more comorbidities than the overall US population.6-9
Vaccine hesitancy, defined as a “delay in acceptance or refusal of vaccination despite availability of vaccination service,” is a major contributor to suboptimal vaccination rates.10-13 Previous studies used cluster analyses to identify the unique combinations of behavioral and social factors responsible for COVID-19 vaccine hesitancy.10,11 Lack of perceived vaccine effectiveness and low perceived risk of the health consequences from COVID-19 infection were frequently identified in clusters where patients had the lowest intent for vaccination.10,11 Similarly, low trust in health care practitioners (HCPs), government, and pharmaceutical companies diminished intent for vaccination in these clusters.10 These quantitative studies were limited by their exclusive focus on unvaccinated individuals, reliance on self-reported intent, and lack of assessment of a health care system with a COVID-19 vaccine delivery program designed to overcome barriers to health care access, such as the VA.
Prior qualitative studies of vaccine uptake in distinct veteran subgroups (ie, unhoused and in VA facilities with low vaccination rates) demonstrated that overriding medical priorities among the unhoused and vaccine safety concerns were associated with decreased vaccine uptake, and positive perceptions of HCPs and the health care system were associated with increased vaccine uptake.11,12 However, these studies were conducted during periods of greater COVID-19 vaccine availability and acceptance, and prior to booster recommendations.4,12,13
This mixed-methods quality improvement (QI) project assessed the barriers and facilitators of COVID-19 vaccination among veterans receiving primary care at a single VA health care facility. We assessed whether unique patient clusters could be identified based on COVID-19–related and vaccine-related thoughts and feelings and whether cluster membership was associated with COVID-19 vaccination. This analysis also explored how individuals’ beliefs and trust shaped motivations and hesitancies for vaccine uptake in quantitatively derived clusters with varying vaccination rates.
Methods
This QI project was conducted at the VA Pittsburgh Healthcare System (VAPHS), a tertiary care facility serving > 75,000 veterans in Pennsylvania, West Virginia, and Ohio. The VAPHS Institutional Review Board determined this QI study was exempt from review.14-17 Participation was voluntary and had no bearing on VA health care or benefits. Financial support for the project, including key personnel and participant compensation, was provided by VAPHS. We followed the STROBE reporting guideline for cross-sectional studies and the COREQ checklist for qualitative research.18,19
Quantitative Survey
The 32,271 veterans assigned to a VAPHS primary care HCP, effective April 1, 2020, were eligible. To ensure representation of subgroups underrecognized in research and/or QI projects, the sample included all 1980 female patients at VAPHS and a random sample of 500 White and 500 Hispanic and/or non-White men within 4 age categories (< 50, 50-64, 65-84, and > 84 years). For the < 50 years or > 84 years categories, all Hispanic and/or non-White men were included due to small sample sizes.20-22 The nonrandom sampling frame comprised 1708 Hispanic and/or non-White men and 2000 White men. After assigning the 5688 potentially eligible individuals a unique identifier, 31 opted out, resulting in a final sample of 5657 individuals.
The 5657 individuals received a letter requesting their completion of a future questionnaire about COVID-19 infection and vaccines. An electronic Qualtrics questionnaire link was emailed to 3221 individuals; nonresponders received 2 follow-up email reminders. For the 2436 veterans without an email address on file, trained interviewers conducted phone surveys and entered responses. Those patients who completed the questionnaire could enter a drawing to win 1 of 100 cash prizes valued at $100. We collected questionnaire data from July to September 2021.
Questionnaire Items
We constructed a 60-item questionnaire based on prior research on COVID-19 vaccine hesitancy and the WHO Guidebook for Immunization Programs and Implementing Partners.4,23-25 The WHO Guidebook comprises survey items organized within 4 domains reflecting the behavioral and social determinants of vaccination: thoughts and feelings; social processes; motivation and hesitancy; and practical factors.23
Sociodemographic, clinical, and personal characteristics. The survey assessed respondent ethnicity and race and used these data to create a composite race and ethnicity variable. Highest educational level was also attained using 8 response options. The survey also assessed prior COVID-19 infection; prior receipt of vaccines for influenza, pneumonia, tetanus, or shingles; and presence of comorbidities that increase the risk of severe COVID-19 infection. We used administrative data from the VA Corporate Data Warehouse to determine respondent age, sex, geographic residence (urban, rural), and to fill in missing self-reported data on sex (n = 4) and ethnicity and race (n = 12). The survey assessed political views using a 5-point Likert scale (1, very liberal; 5, very conservative) and was collapsed into 3 categories (ie, very conservative or conservative, moderate, very liberal or liberal), with prefer not to answer reported separately
COVID-19 infection and vaccine. We asked veterans if they had ever been infected with COVID-19, whether they had been offered and/or received a COVID-19 vaccine, and type (Pfizer, Moderna, or Johnson & Johnson), and number of doses received. Positive vaccination status was defined as the receipt of ≥ 1 dose of a COVID-19 vaccine approved by the US Food and Drug Administration.
COVID-19 opinions. Respondents were asked about perceived risk of COVID-19 infection and related health outcomes, as well as beliefs about COVID-19 vaccines, using a 4-point Likert scale for all items: (1, not at all concerned; 4, very concerned). Respondents were asked about concerns related to COVID-19 infection and severe illness. They also were asked about vaccine-related short-term adverse effects (AEs) and long-term complications. Respondents were asked how effective they believed COVID-19 vaccines were at preventing infection, serious illness, or death. Unvaccinated and vaccinated veterans were asked similar items, with a qualifier of “before getting vaccinated…” for those who were vaccinated.
Social processes. Respondents were asked to rate their level of trust in various sources of COVID-19 vaccine information using a 4-point Likert scale (1, trust not at all; 4, trust very much). Respondents were asked whether community or religious leaders or close family or friends wanted them to get vaccinated (yes, no, or unsure).
Practical factors. Respondents were asked to rate the logistical difficulty of getting vaccinated or trying to get vaccinated using a 4-point Likert scale (1, not at all; 4, extremely).
Participants
Respondents were asked to participate in a follow-up qualitative interview. Among 293 participants who agreed, we sampled all 86 unvaccinated individuals regardless of cluster assignment, a random sample of 88 individuals in the cluster with the lowest vaccination rate, and all 33 vaccinated individuals in the cluster with the second-lowest vaccination rate. Forty-nine veterans completed qualitative interviews.
Two research staff trained in qualitative research completed telephone interviews, averaging 16.5 minutes (March to May 2022), using semistructured scripts to elicit vaccine-related motivations, hesitancies, or concerns. Interviews were recorded, transcribed, and deidentified. Participants provided written consent for recording and received $50 cash-equivalent compensation for interview completion.
Qualitative Interview Script
The interview script consisted of open-ended questions related to vaccine uptake across WHO domains.23 Both unvaccinated and vaccinated respondents were asked similar questions and customized questions about boosters for the vaccinated subgroup. To assess motivations and hesitancies, respondents were asked how they made their decisions about vaccination and what they considered when deciding. Vaccinated participants were asked about motivations and overcoming concerns. Unvaccinated respondents were asked about reasons for concern. To assess social processes, the interviewers asked participants whose opinion or counsel they trusted when deciding whether to get vaccinated. Questions also focused on positive experiences and vaccination barriers. Vaccinated participants were asked what could have improved their vaccination experiences. Finally, the interviewers asked participants who received a complete primary vaccine series about their motivations and plans related to booster vaccines, and whether information about emerging COVID-19 variants influenced their decisions.
Data Analyses
This analysis used X2 and Fisher exact tests to assess the associations among respondent characteristics, questionnaire responses, vaccination status, and cluster membership. Items phrased similarly were handled in a similar fashion for vaccinated and unvaccinated respondents.
Cluster analysis assessed the possible groupings in responses to the quantitative questionnaire items focused on thoughts and feelings about COVID-19 infection risk and severity, vaccine effectiveness, and vaccine safety. This analysis treated the items’ ordinal response categories as continuous. We performed factor analysis using principal component analysis to explore dimension reduction and account for covariance between items. Two principal components were calculated and applied k-means clustering, determining the number of clusters through agreement from the elbow, gap statistic, and silhouette methods.26 Each cluster was named based on its unique pattern of responses to the items used to define them (eAppendix 1).

Multivariable logistic regression analyses assessed the independent association between cluster membership as the independent measure and vaccination status as the dependent measure, adjusting for respondent sociodemographic and personal characteristics and 2 measures of trust (ie, local VA HCP and the CDC). We selected these trust measures because they represent objective sources of medical information and were independently associated with COVID-19 vaccination status in a logistic regression model comprising all 6 trust items assessed.
This study defined statistical significance as a 2-tailed P value < .05. SAS 9.4 was used for all statistical analyses and Python 3.7.4 and the Scikit-learn package for cluster analyses.27 For qualitative analyses, this study used an inductive thematic approach guided by conventional qualitative content analysis, NVivo 12 Plus for Windows to code and analyze interview transcripts.28,29 We created an initial codebook based on 10 transcripts that were selected for high complexity and represented cluster membership and vaccination status.30,31 After 2 qualitative staff developed the initial codebook, 11 of 49 (22%) transcripts were independently coded by a primary and secondary coder to ensure consistent code application. Both coders reviewed the cocoded transcripts and resolved all discrepancies through negotiated consensus.32 After the cocoding process was complete, the primary coder coded the remaining transcripts. The primary and secondary coder met as needed to review and discuss any questions that arose during the primary coder’s work.
Results
Of 5657 eligible participants, 1208 (21.4%) completed a questionnaire. Overall, 674 (55.8%) were aged < 65 years, 530 (43.9%) were women, 828 (68.5%) were non-Hispanic White, 303 (25.1%) were Black, and 47 (3.9%) were Hispanic, and 1034 (85.6%) were vaccinated (Table 1). Compared to the total sampled population, respondents were more often older, female, and White (eAppendix 2).


Cluster Membership
Four clusters were identified from 1183 (97.9%) participants who provided complete responses to 6 items assessing thoughts and feelings about COVID-19 infection and vaccines (Table 2). Of the 1183 respondents, 375 (31.7%) were Concerned Believers (cluster 1), 336 (28.4%) were Unconcerned Believers (cluster 2), 298 (25.2%) were Concerned Ambivalents (cluster 3), and 174 (14.7%) were Unconcerned Disbelievers (cluster 4). The Concerned Believers were moderately/ very concerned about COVID-19 infection (96.0%) and becoming very ill from infection (94.6%), believed the vaccine was moderately/very effective in preventing COVID-19 infection (100%) and severe illness or death from infection (98.7%), and had slight concern about short-term AEs (92.6%) or long-term complications (92.0%) from the vaccine. The Unconcerned Believers had no/slight concern about COVID-19 infection (76.5%) or becoming very ill (79.2%), believed the vaccine was effective in preventing infection (82.4%) and severe illness and death (83.6%), and had no/slight concern about short-term AEs (94.0%) or long-term complications (87.2%) from the vaccine. The Concerned Ambivalents were moderately/ very concerned about COVID-19 infection (94.3%) and becoming very ill (93.6%), believed the vaccine was moderately/very effective in preventing infection (86.6%) and severe illness or death (86.9%), and were moderately/very concerned about short-term AEs (81.9%) or long-term complications (89.3%) from the vaccine. The Unconcerned Disbelievers had no/slight concern about COVID-19 infection (90.8%) and becoming very ill (88.6%), believed the vaccine was not at all/slightly effective in preventing infection (90.3%) and severe illness or death (87.4%), and were moderately/very concerned about short-term AEs (52.8%) or long-term complications (75.9%) from the vaccine.

Cluster Membership
Respondent age, race and ethnicity, and political viewpoints differed significantly by cluster (P < .001). Compared with the other clusters, the Concerned Believer cluster was older (55.5% age ≥ 65 years vs 16.7%-48.0%) and more frequently reported liberal political views (28.8% vs 4.6%-15.1%). In contrast, the Unconcerned Disbeliever cluster was younger (83.4% age ≤ 64 years vs 44.5%-56.8%) and more frequently reported conservative political views (37.9% vs 17.1%-26.8%) than the other clusters. Whereas the Concerned Ambivalent cluster had the highest proportion of Black (37.7%) and the lowest proportion of White respondents (57.6%), the Unconcerned Disbelievers cluster had the lowest proportion of Black respondents (14.5%) and the highest proportion of White respondents (77.9%). The Unconcerned Disbelievers cluster were significantly less likely to trust COVID-19 vaccine information from any source and to believe those close to them wanted them to get vaccinated.
Association of Cluster Membership and COVID-19 Vaccination
COVID-19 vaccination rates varied more than 3-fold (P < .001) by cluster, with 29.9% of Unconcerned Disbelievers, 93.3% of Concerned Ambivalents, 93.5% of Unconcerned Believers, and 98.9% of Concerned Believers reporting being vaccinated. (Figure). Cluster membership was independently associated with vaccination, with adjusted odds ratios (AORs) of 12.0 (95% CI, 6.1-23.8) for the Concerned Ambivalent, 13.0 (95% CI, 6.9-24.5) for Unconcerned Believer, and 48.6 (95% CI, 15.5-152.1) for Concerned Believer clusters (Table 3). Respondent trust in COVID-19 vaccine information from their VA HCP (AOR 2.1; 95% CI, 1.6-2.8) and the CDC (AOR 1.6; 95% CI, 1.2-2.1) were independently associated with vaccination status, while the remaining respondent sociodemographic or personal characteristics were not.


Qualitative Interview Participants
A 49-participant convenience sample completed interviews, including 30 Concerned Ambivalent, 17 Unconcerned Disbeliever, and 2 Unconcerned Believer respondents cluster. The data were not calculated for Unconcerned Believers due to the small sample size. Interview participants were more likely to be younger, female, non-Hispanic, White, less educated, and more politically conservative than the questionnaire respondents as a whole (Appendix). The vaccination rate for the interview participants was 73.5%, ranging from 29.9% in the Unconcerned Disbeliever to 93.3% in the Concerned Ambivalent cluster. Qualitative themes and participant quotes for Concerned Ambivalent and Unconcerned Disbeliever respondents are in eAppendix 3.
Motivations. Wanting personal protection from becoming infected or severely ill from COVID-19 (63.8%), caregiver wanting to protect others (17.0%), and employment vaccine requirements (14.9%) were frequent motivations for vaccination. Whereas personal protection (90.0%) and protection of others (23.3%) were identified more frequently in the Concerned Ambivalents cluster, employment vaccine requirements (35.3%) were more frequently identified in the Unconcerned Disbelievers cluster.
Hesitancies or concerns. Lack of sufficient information related to rapid vaccine development (55.3%), vaccine AEs (38.3%), and low confidence in vaccine efficacy (23.4%) were frequent concerns or hesitancies about vaccination. Unconcerned Disbelievers expressed higher levels of concern about the vaccine’s rapid development (82.4%), low perceived vaccine efficacy (47.1%), and a lack of trust in governmental vaccine promotion (23.5%) than did the Concerned Ambivalents.
Overcoming concerns. Not wanting to get sick or die from infection coupled with an understanding that vaccine benefits exceed risks (23.4%) and receiving information from a trusted source (10.6%) were common ways of overcoming concerns for vaccination. Although the Unconcerned Disbelievers infrequently identified reasons for overcoming concerns, they identified employment requirements (17.6%) as a reason for vaccination despite concerns. They also identified seeing others with positive vaccine experiences and pressure from family or friends as ways of overcoming concerns (11.8% each).
Social influences. Family members or partners (38.3%), personal opinions (38.3%), and HCPs (23.4%) were frequent social influences for vaccination. Concerned Ambivalents mentioned family members and partners (46.7%), HCPs (26.7%), and friends (20.0%) as common influences, while Unconcerned Disbelievers more frequently relied on their opinion (41.2%) and quoted specific scientifically reputable data sources (17.6%) to guide vaccine decision-making, although it is unclear whether these sources were accessed directly or if this information was obtained indirectly through scientifically unvetted data platforms.
Practical factors. Most participants had positive vaccination experiences (68.1%), determined mainly by the Concerned Ambivalents (90.0%), who were more highly vaccinated. Barriers to vaccination were reported by 9 (19.1%) participants, driven by those in the Concerned Ambivalent cluster (26.7%). Eight (17.0%) participants suggested improvements for vaccination processes, with similar overall reporting frequencies across clusters.
COVID-19 boosters and variants. Wanting continued protection from COVID-19 (36.2%), recommendations from a doctor or trusted source (17.0%), and news about emerging variants (10.6%) were frequent motivations for receiving a vaccine booster (eAppendix 4). These motivations were largely driven by the Concerned Ambivalents, of whom 25 of 30 were booster eligible and 24 received a booster dose. Belief that boosters were unnecessary (8.5%), concerns about efficacy (6.4%), and concerns about AEs (6.4%) were frequently identified hesitancies. These concerns were expressed largely by the Unconcerned Disbelievers, of whom 7 of 17 were booster dose eligible, but only 1 received a dose.
Evolving knowledge about variants was not a major concern overall and did not change existing opinions about the vaccine (36.2%). Concerned Ambivalents believed vaccination provided extra protection against variants (36.7%) and the emergence of variants served as a reminder of the ongoing pandemic (30.0%). In contrast, Unconcerned Disbelievers believed that the threat of variants was overblown (35.3%) and mutations are to be expected (17.6%).
Discussion
This study used a complementary mixed-methods approach to understand the motivations, hesitancies, and social and practical drivers of COVID-19 vaccine uptake among VA beneficiaries. Our quantitative analyses identified 4 distinct clusters based on respondents’ opinions on COVID-19 infection severity and vaccine effectiveness and safety. Veterans in 3 clusters were 12 to 49 times more likely to be vaccinated than those in the remaining cluster, even when controlling for baseline respondent characteristics and level of trust in credible sources of COVID-19 information. The observed vaccination rate of nearly 86% was higher than the contemporaneous national average of 62% for vaccine-eligible individuals, likely reflecting the comprehensive VA vaccine promotion strategies tailored to a patient demographic with a high COVID-19 risk profile.2,10

This cluster analyses demonstrated the importance of thoughts and feelings about COVID-19 infection and vaccination as influential social and behavioral drivers of vaccine uptake. These opinions help explain the strong association between cluster membership and vaccination status in this multivariable modeling. The cluster composition was consistent with findings from studies of nonveteran populations that identified perceived vulnerability to COVID-19 infection, beliefs in vaccine effectiveness, and adherence with protective behaviors during the pandemic as contributors to vaccine uptake.13,33 Qualitative themes showed that personal protection, protecting others, and vaccine mandates were frequent motivators for vaccination. Whereas protection of self and others from COVID-19 infection were more often expressed by the highly vaccinated Concerned Ambivalents, employment and travel vaccine mandates were more often identified by Unconcerned Disbelievers, who had a lower vaccination rate. Among Unconcerned Disbelievers, an employer vaccine requirement was the most frequent qualitative theme for overcoming vaccination concerns.
In addition to cluster membership, our modeling showed that trust in local VA HCPs and the CDC were independently associated with COVID-19 vaccination, which has been found in prior research.20 This qualitative analyses regarding vaccine hesitancy identified trust-related concerns that were more frequently expressed by Unconcerned Disbelievers than Concerned Ambivalents. Concerns included the rapid development of the vaccines potentially limiting the generation of scientifically sound effectiveness and safety data, and potential biases involving the entities promoting vaccine uptake.
Whereas the Concerned Believers, Unconcerned Believers, and Concerned Ambivalents all had high COVID-19 vaccination rates (≥ 93%), the decision-making pathways to vaccine uptake likely differ by their concerns about COVID-19 infection and perceptions of vaccine safety and effectiveness. For example, this mixed-methods analysis consistently showed that people in the Concerned Ambivalent cluster were positively motivated by concerns about COVID-19 infection and severity and beliefs about vaccine effectiveness that were tempered by concerns about vaccine AEs. For this cluster, their frequent thematic expression that the benefits of the vaccine exceed the risks, and the positive social influences of family, friends, and HCPs may explain their high vaccination rate.
Such insights into how the patterns of COVID-19–related thoughts and feelings vary across clusters can be used to design interventions to encourage initial and booster doses of COVID-19 vaccines. For example, messaging that highlights the infectivity and severity of COVID-19 and the potential for persistent negative health outcomes associated with long COVID could reinforce the beliefs of Concerned Believers and Concerned Ambivalents, and such messaging could also be used as a targeted intervention for Unconcerned Believers who expressed fewer concerns about the health consequences of COVID-19.23 Likewise, messaging about the safety profile of COVID-19 vaccines may reduce vaccine hesitancy for Concerned Ambivalents. Importantly, purposeful attention to health equity, community engagement, and involvement of racially diverse HCPs in patient discussions represent successful strategies to increase COVID-19 vaccine uptake among Black individuals, who were disproportionately represented in the Concerned Ambivalent cluster and may possess higher levels of mistrust due to racism experienced within the health care system.24
Our findings suggest that the greatest challenge for overcoming vaccine hesitancy is for individuals in the suboptimally vaccinated (30%) Unconcerned Disbeliever cluster. These individuals had low levels of concern about COVID-19 infection and severity, high levels of concern about vaccine safety, low perceived vaccine effectiveness, and low levels of trust in all information sources about COVID-19. While the Unconcerned Disbelievers cited scientifically reputable data sources, we were unable to verify whether participants accessed these reputable sources of information directly or obtained such information indirectly through potentially biased online sources. Nearly half of this cluster trusted their VA HCP and believed their community or religious leaders would want them to get vaccinated. This qualitative analyses found that Unconcerned Disbelievers relied on personal beliefs for vaccine decision-making more than Concerned Ambivalents. While Unconcerned Disbelievers were less likely to be socially influenced by family, friends, or religious leaders, they still acknowledged some impact from these sources. These findings suggest that addressing vaccine hesitancy among Unconcerned Disbelievers may require a multifaceted approach that respects their reliance on personal research while also leveraging the potential social influences. This approach supports the promising, previously reported practices of harnessing the social influences of HCPs and other community and religious leaders to promote vaccine uptake among Unconcerned Disbelievers.34,35 One evidence-based approach to effectively change patient health care behaviors is through motivational interviewing strategies that use open-ended questions, nonjudgmental interactions, and collaborative decision-making when discussing the risks and benefits of vaccination.21,22
Limitations
This study was conducted at a single VA health care facility and our sampling technique was nonrandom, suggesting that these results may not be generalizable to all veterans or non-VA patient populations. The 21% questionnaire response rate could have introduced selection bias into the respondent sample. All questionnaire data were self-reported, including vaccination status. Finally, the qualitative interviews consisted of a small number of unvaccinated individuals in 2 clusters (ie, Concerned Ambivalents and Unconcerned Disbelievers) and may not have reached thematic saturation in these subgroups.
Conclusions
Quantitative analyses identified 4 clusters based on individual thoughts and feelings about COVID-19 infection and vaccines. Cluster membership and levels of trust in COVID-19 information sources were independently associated with vaccination. Understanding the quantitative patterns of thoughts and beliefs across clusters, enriched by common qualitative themes for vaccine hesitancy, help inform tailored interventions to augment COVID-19 vaccine uptake and highlight the importance of targeted, trust-based communication and culturally sensitive interventions to enhance vaccine uptake across diverse populations.
- World Health Organization. WHO COVID-19 dashboard. Accessed July 18, 2025. https://covid19.who.int/
- Centers for Disease Control and Prevention. COVIDVax- View: Weekly COVID-19 Vaccination Coverage and Intent among Adults. Accessed June 10, 2025. https://www.cdc.gov/covidvaxview/weekly-dashboard/adult-vaccination-coverage.html
- World Health Organization. Strategy to achieve global Covid-19 vaccination by mid-2022. 2021. Accessed April 30, 2025. https://cdn.who.int/media/docs/default-source/immunization/covid-19/strategy-to-achieve-global-covid-19-vaccination-by-mid-2022.pdf
- Jasuja GK, Meterko M, Bradshaw LD, et al. Attitudes and intentions of US veterans regarding COVID-19 vaccination. JAMA Netw Open. 2021;4(11):e2132548. doi:10.1001/jamanetworkopen.2021.32548
- Der-Martirosian C, Steers WN, Northcraft H, Chu K, Dobalian A. Vaccinating veterans for COVID-19 at the U.S. Department of Veterans Affairs. Am J Prev Med. 2022;62(6):e317-e324. doi:10.1016/j.amepre.2021.12.016
- Bloeser K, Lipkowitz-Eaton J. Disproportionate multimorbidity among veterans in middle age. J Public Health (Oxf). 2022;44(1):28-35. doi:10.1093/pubmed/fdab149
- US Department of Veterans Affairs. National Center for Veterans Analysis and Statistics: veteran population. Updated March 26, 2025. Accessed April 30, 2025. https://www.va.gov/vetdata/Veteran_Population.asp
- Olenick M, Flowers M, Diaz VJ. US veterans and their unique issues: enhancing health care professional awareness. Adv Med Educ Pract. 2015;6:635-639. doi:10.2147/AMEP.S89479
- Orkaby AR, Nussbaum L, Ho YL, et al. The burden of frailty among U.S. veterans and its association with mortality, 2002-2012. J Gerontol A Biol Sci Med Sci. 2019;74(8):1257-1264. doi:10.1093/gerona/gly232
- Bass SB, Kelly PJ, Hoadley A, Arroyo Lloret A, Organtini T. Mapping perceptual differences to understand COVID-19 beliefs in those with vaccine hesitancy. J Health Commun. 2022;27(1):49-61. doi:10.1080/10810730.2022.2042627
- Meng L, Masters NB, Lu PJ, et al. Cluster analysis of adults unvaccinated for COVID-19 based on behavioral and social factors, National Immunization Survey-Adult COVID Module, United States. Prev Med. 2023;167:107415. doi:10.1016/j.ypmed.2022.107415
- Gin JL, Balut MD, Dobalian A. COVID-19 vaccination uptake and receptivity among veterans enrolled in homelessness- tailored primary health care clinics: provider trust vs. misinformation. BMC Prim Care. 2024;25(1):24. doi:10.1186/s12875-023-02251-x
- Wilson GM, Ray CE, Kale IO, et al. Age and beliefs about vaccines associated with COVID-19 vaccination among US veterans. Antimicrob Steward Healthc Epidemiol. 2023;3(1):e184. doi:10.1017/ash.2023.446
- VA Pittsburgh Healthcare System (VAPHS). Human Research Protection Program (HRPP) policy for quality assurance/ quality improvement projects. Policy H-013. December 31, 2021. Accessed April 30, 2025. https://www.va.gov/files/2020-11/H-013_QAQI%20Project_revised_updated%20format_clean_508.pdf
- Burkitt KH, Rodriguez KL, Mor MK, et al. Evaluation of a collaborative VA network initiative to reduce racial disparities in blood pressure control among veterans with severe hypertension. Healthc (Amst). 2021;8(suppl 1):100485. doi:10.1016/j.hjdsi.2020.100485
- Sinkowitz-Cochran RL, Burkitt KH, Cuerdon T, et al. The associations between organizational culture and knowledge, attitudes, and practices in a multicenter Veterans Affairs quality improvement initiative to prevent methicillin-resistant Staphylococcus aureus. Am J Infect Control. 2012;40(2):138-143. doi:10.1016/j.ajic.2011.04.332
- Burkitt KH, Sinkowitz-Cochran RL, Obrosky DS, et al. Survey of employee knowledge and attitudes before and after a multicenter Veterans’ Administration quality improvement initiative to reduce nosocomial methicillin-resistant Staphylococcus aureus infections. Am J Infect Control. 2010;38(4):274-282. doi:10.1016/j.ajic.2009.08.019
- STROBE - strengthening the reporting of observational studies in epidemiology. What is STROBE? Accessed April 30, 2025. https://www.strobe-statement.org/
- Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349-357. doi:10.1093/intqhc/mzm042
- Ward RE, Nguyen XT, Li Y, et al; on behalf of the VA Million Veteran Program. Racial and ethnic disparities in U.S. veteran health characteristics. Int J Environ Res Public Health. 2021;18(5):2411. doi:10.3390/ijerph18052411
- Harrington KM, Nguyen XT, Song RJ, et al; VA Million Veteran Program. Gender differences in demographic and health characteristics of the Million Veteran Program cohort. Womens Health Issues. 2019;29(suppl 1):S56-S66. doi:10.1016/j.whi.2019.04.012
- Washington DL, ed. National Veteran Health Equity Report 2021. Focus on Veterans Health Administration Patient Experience and Health Care Quality. VHA Office of Health Equity; September 2022. Accessed April 30, 2025. https://www.va.gov/healthequity/nvher.asp
- World Health Organization. Data for action: achieving high uptake of COVID-19 vaccines. April 1, 2021. Accessed April 30, 2025. https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccination-demand-planning-2021.1
- Hoffman BL, Boness CL, Chu KH, et al. COVID- 19 vaccine hesitancy, acceptance, and promotion among healthcare workers: a mixed-methods analysis. J Community Health. 2022;47(5):750-758. doi:10.1007/s10900-022-01095-3
- Vasudevan L, Bruening R, Hung A, et al. COVID- 19 vaccination intention and activation among health care system employees: a mixed methods study. Vaccine. 2022;40(35):5141-5152. doi:10.1016/j.vaccine.2022.07.010
- Tibshirani R, Walther G, Hastie T. Estimating the number of clusters in a data set via the gap statistic. J R Stat Soc Series B Stat Methodol. 2001;63(2):411-423. doi:10.1111/1467-9868.00293
- Pedregosa FP, Varoquaux G, Gramfort A, et al. Scikitlearn: machine learning in Python. J Mach Learn Res. 2011;12:2825-2830.
- Proudfoot K. Inductive/deductive hybrid thematic analysis in mixed methods research. J Mix Methods Res. 2022;17(3): 308-326. doi:10.1177/15586898221126816
- Chapman AL, Hadfield M, Chapman CJ. Qualitative research in healthcare: an introduction to grounded theory using thematic analysis. J R Coll Physicians Edinb. 2015;45(3):201-205. doi:10.4997/jrcpe.2015.305
- Grandheim UH, Lundman B. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Educ Today. 2004;24(2):105-112. doi:10.1016/j.nedt.2003.1001
- Sandelowski M. Whatever happened to qualitative description? Res Nurs Health. 2000;23(4):334-340. doi:10.1002/1098-240x(200008)23:4<334::aid-nur9 >3.0.co;2-g
- Garrison DR, Cleveland-Innes M, Koole M, Kappelman J. Revisiting methodological issues in transcript analysis: negotiated coding and reliability. Internet High Educ. 2006;9(1):1-8. doi:10.1016/j.iheduc.2005.11.001
- Wagner AL, Porth JM, Wu Z, Boulton ML, Finlay JM, Kobayashi LC. Vaccine hesitancy during the COVID-19 pandemic: a latent class analysis of middle-aged and older US adults. J Community Health. 2022;47(3):408- 415. doi:10.1007/s10900-022-01064-w
- Syed U, Kapera O, Chandrasekhar A, et al. The role of faith-based organizations in improving vaccination confidence & addressing vaccination disparities to help improve vaccine uptake: a systematic review. Vaccines (Basel). 2023;11(2):449. doi:10.3390/vaccines11020449
- Evans D, Norrbom C, Schmidt S, Powell R, McReynolds J, Sidibe T. Engaging community-based organizations to address barriers in public health programs: lessons learned from COVID-19 vaccine acceptance programs in diverse rural communities. Health Secur. 2023;21(S1):S17-S24. doi:10.1089/hs.2023.0017
The SARS-CoV-2 virus has resulted in > 778 million reported COVID-19 cases and > 7 million deaths worldwide. 1 About 70% of the eligible US population has completed a primary COVID-19 vaccination series, yet only 17% have received an updated bivalent booster dose.2 These immunization rates fall below the World Health Organization (WHO) target of 70%.3
Early in the pandemic, US Department of Veterans Affairs (VA) vaccination rates ranged from 46% to 71%.4,5 Ensuring a high level of COVID-19 vaccination in the largest integrated US health care system aligns with the VA priority to provide high-quality, evidence-based care to a patient population that is older and has more comorbidities than the overall US population.6-9
Vaccine hesitancy, defined as a “delay in acceptance or refusal of vaccination despite availability of vaccination service,” is a major contributor to suboptimal vaccination rates.10-13 Previous studies used cluster analyses to identify the unique combinations of behavioral and social factors responsible for COVID-19 vaccine hesitancy.10,11 Lack of perceived vaccine effectiveness and low perceived risk of the health consequences from COVID-19 infection were frequently identified in clusters where patients had the lowest intent for vaccination.10,11 Similarly, low trust in health care practitioners (HCPs), government, and pharmaceutical companies diminished intent for vaccination in these clusters.10 These quantitative studies were limited by their exclusive focus on unvaccinated individuals, reliance on self-reported intent, and lack of assessment of a health care system with a COVID-19 vaccine delivery program designed to overcome barriers to health care access, such as the VA.
Prior qualitative studies of vaccine uptake in distinct veteran subgroups (ie, unhoused and in VA facilities with low vaccination rates) demonstrated that overriding medical priorities among the unhoused and vaccine safety concerns were associated with decreased vaccine uptake, and positive perceptions of HCPs and the health care system were associated with increased vaccine uptake.11,12 However, these studies were conducted during periods of greater COVID-19 vaccine availability and acceptance, and prior to booster recommendations.4,12,13
This mixed-methods quality improvement (QI) project assessed the barriers and facilitators of COVID-19 vaccination among veterans receiving primary care at a single VA health care facility. We assessed whether unique patient clusters could be identified based on COVID-19–related and vaccine-related thoughts and feelings and whether cluster membership was associated with COVID-19 vaccination. This analysis also explored how individuals’ beliefs and trust shaped motivations and hesitancies for vaccine uptake in quantitatively derived clusters with varying vaccination rates.
Methods
This QI project was conducted at the VA Pittsburgh Healthcare System (VAPHS), a tertiary care facility serving > 75,000 veterans in Pennsylvania, West Virginia, and Ohio. The VAPHS Institutional Review Board determined this QI study was exempt from review.14-17 Participation was voluntary and had no bearing on VA health care or benefits. Financial support for the project, including key personnel and participant compensation, was provided by VAPHS. We followed the STROBE reporting guideline for cross-sectional studies and the COREQ checklist for qualitative research.18,19
Quantitative Survey
The 32,271 veterans assigned to a VAPHS primary care HCP, effective April 1, 2020, were eligible. To ensure representation of subgroups underrecognized in research and/or QI projects, the sample included all 1980 female patients at VAPHS and a random sample of 500 White and 500 Hispanic and/or non-White men within 4 age categories (< 50, 50-64, 65-84, and > 84 years). For the < 50 years or > 84 years categories, all Hispanic and/or non-White men were included due to small sample sizes.20-22 The nonrandom sampling frame comprised 1708 Hispanic and/or non-White men and 2000 White men. After assigning the 5688 potentially eligible individuals a unique identifier, 31 opted out, resulting in a final sample of 5657 individuals.
The 5657 individuals received a letter requesting their completion of a future questionnaire about COVID-19 infection and vaccines. An electronic Qualtrics questionnaire link was emailed to 3221 individuals; nonresponders received 2 follow-up email reminders. For the 2436 veterans without an email address on file, trained interviewers conducted phone surveys and entered responses. Those patients who completed the questionnaire could enter a drawing to win 1 of 100 cash prizes valued at $100. We collected questionnaire data from July to September 2021.
Questionnaire Items
We constructed a 60-item questionnaire based on prior research on COVID-19 vaccine hesitancy and the WHO Guidebook for Immunization Programs and Implementing Partners.4,23-25 The WHO Guidebook comprises survey items organized within 4 domains reflecting the behavioral and social determinants of vaccination: thoughts and feelings; social processes; motivation and hesitancy; and practical factors.23
Sociodemographic, clinical, and personal characteristics. The survey assessed respondent ethnicity and race and used these data to create a composite race and ethnicity variable. Highest educational level was also attained using 8 response options. The survey also assessed prior COVID-19 infection; prior receipt of vaccines for influenza, pneumonia, tetanus, or shingles; and presence of comorbidities that increase the risk of severe COVID-19 infection. We used administrative data from the VA Corporate Data Warehouse to determine respondent age, sex, geographic residence (urban, rural), and to fill in missing self-reported data on sex (n = 4) and ethnicity and race (n = 12). The survey assessed political views using a 5-point Likert scale (1, very liberal; 5, very conservative) and was collapsed into 3 categories (ie, very conservative or conservative, moderate, very liberal or liberal), with prefer not to answer reported separately
COVID-19 infection and vaccine. We asked veterans if they had ever been infected with COVID-19, whether they had been offered and/or received a COVID-19 vaccine, and type (Pfizer, Moderna, or Johnson & Johnson), and number of doses received. Positive vaccination status was defined as the receipt of ≥ 1 dose of a COVID-19 vaccine approved by the US Food and Drug Administration.
COVID-19 opinions. Respondents were asked about perceived risk of COVID-19 infection and related health outcomes, as well as beliefs about COVID-19 vaccines, using a 4-point Likert scale for all items: (1, not at all concerned; 4, very concerned). Respondents were asked about concerns related to COVID-19 infection and severe illness. They also were asked about vaccine-related short-term adverse effects (AEs) and long-term complications. Respondents were asked how effective they believed COVID-19 vaccines were at preventing infection, serious illness, or death. Unvaccinated and vaccinated veterans were asked similar items, with a qualifier of “before getting vaccinated…” for those who were vaccinated.
Social processes. Respondents were asked to rate their level of trust in various sources of COVID-19 vaccine information using a 4-point Likert scale (1, trust not at all; 4, trust very much). Respondents were asked whether community or religious leaders or close family or friends wanted them to get vaccinated (yes, no, or unsure).
Practical factors. Respondents were asked to rate the logistical difficulty of getting vaccinated or trying to get vaccinated using a 4-point Likert scale (1, not at all; 4, extremely).
Participants
Respondents were asked to participate in a follow-up qualitative interview. Among 293 participants who agreed, we sampled all 86 unvaccinated individuals regardless of cluster assignment, a random sample of 88 individuals in the cluster with the lowest vaccination rate, and all 33 vaccinated individuals in the cluster with the second-lowest vaccination rate. Forty-nine veterans completed qualitative interviews.
Two research staff trained in qualitative research completed telephone interviews, averaging 16.5 minutes (March to May 2022), using semistructured scripts to elicit vaccine-related motivations, hesitancies, or concerns. Interviews were recorded, transcribed, and deidentified. Participants provided written consent for recording and received $50 cash-equivalent compensation for interview completion.
Qualitative Interview Script
The interview script consisted of open-ended questions related to vaccine uptake across WHO domains.23 Both unvaccinated and vaccinated respondents were asked similar questions and customized questions about boosters for the vaccinated subgroup. To assess motivations and hesitancies, respondents were asked how they made their decisions about vaccination and what they considered when deciding. Vaccinated participants were asked about motivations and overcoming concerns. Unvaccinated respondents were asked about reasons for concern. To assess social processes, the interviewers asked participants whose opinion or counsel they trusted when deciding whether to get vaccinated. Questions also focused on positive experiences and vaccination barriers. Vaccinated participants were asked what could have improved their vaccination experiences. Finally, the interviewers asked participants who received a complete primary vaccine series about their motivations and plans related to booster vaccines, and whether information about emerging COVID-19 variants influenced their decisions.
Data Analyses
This analysis used X2 and Fisher exact tests to assess the associations among respondent characteristics, questionnaire responses, vaccination status, and cluster membership. Items phrased similarly were handled in a similar fashion for vaccinated and unvaccinated respondents.
Cluster analysis assessed the possible groupings in responses to the quantitative questionnaire items focused on thoughts and feelings about COVID-19 infection risk and severity, vaccine effectiveness, and vaccine safety. This analysis treated the items’ ordinal response categories as continuous. We performed factor analysis using principal component analysis to explore dimension reduction and account for covariance between items. Two principal components were calculated and applied k-means clustering, determining the number of clusters through agreement from the elbow, gap statistic, and silhouette methods.26 Each cluster was named based on its unique pattern of responses to the items used to define them (eAppendix 1).

Multivariable logistic regression analyses assessed the independent association between cluster membership as the independent measure and vaccination status as the dependent measure, adjusting for respondent sociodemographic and personal characteristics and 2 measures of trust (ie, local VA HCP and the CDC). We selected these trust measures because they represent objective sources of medical information and were independently associated with COVID-19 vaccination status in a logistic regression model comprising all 6 trust items assessed.
This study defined statistical significance as a 2-tailed P value < .05. SAS 9.4 was used for all statistical analyses and Python 3.7.4 and the Scikit-learn package for cluster analyses.27 For qualitative analyses, this study used an inductive thematic approach guided by conventional qualitative content analysis, NVivo 12 Plus for Windows to code and analyze interview transcripts.28,29 We created an initial codebook based on 10 transcripts that were selected for high complexity and represented cluster membership and vaccination status.30,31 After 2 qualitative staff developed the initial codebook, 11 of 49 (22%) transcripts were independently coded by a primary and secondary coder to ensure consistent code application. Both coders reviewed the cocoded transcripts and resolved all discrepancies through negotiated consensus.32 After the cocoding process was complete, the primary coder coded the remaining transcripts. The primary and secondary coder met as needed to review and discuss any questions that arose during the primary coder’s work.
Results
Of 5657 eligible participants, 1208 (21.4%) completed a questionnaire. Overall, 674 (55.8%) were aged < 65 years, 530 (43.9%) were women, 828 (68.5%) were non-Hispanic White, 303 (25.1%) were Black, and 47 (3.9%) were Hispanic, and 1034 (85.6%) were vaccinated (Table 1). Compared to the total sampled population, respondents were more often older, female, and White (eAppendix 2).


Cluster Membership
Four clusters were identified from 1183 (97.9%) participants who provided complete responses to 6 items assessing thoughts and feelings about COVID-19 infection and vaccines (Table 2). Of the 1183 respondents, 375 (31.7%) were Concerned Believers (cluster 1), 336 (28.4%) were Unconcerned Believers (cluster 2), 298 (25.2%) were Concerned Ambivalents (cluster 3), and 174 (14.7%) were Unconcerned Disbelievers (cluster 4). The Concerned Believers were moderately/ very concerned about COVID-19 infection (96.0%) and becoming very ill from infection (94.6%), believed the vaccine was moderately/very effective in preventing COVID-19 infection (100%) and severe illness or death from infection (98.7%), and had slight concern about short-term AEs (92.6%) or long-term complications (92.0%) from the vaccine. The Unconcerned Believers had no/slight concern about COVID-19 infection (76.5%) or becoming very ill (79.2%), believed the vaccine was effective in preventing infection (82.4%) and severe illness and death (83.6%), and had no/slight concern about short-term AEs (94.0%) or long-term complications (87.2%) from the vaccine. The Concerned Ambivalents were moderately/ very concerned about COVID-19 infection (94.3%) and becoming very ill (93.6%), believed the vaccine was moderately/very effective in preventing infection (86.6%) and severe illness or death (86.9%), and were moderately/very concerned about short-term AEs (81.9%) or long-term complications (89.3%) from the vaccine. The Unconcerned Disbelievers had no/slight concern about COVID-19 infection (90.8%) and becoming very ill (88.6%), believed the vaccine was not at all/slightly effective in preventing infection (90.3%) and severe illness or death (87.4%), and were moderately/very concerned about short-term AEs (52.8%) or long-term complications (75.9%) from the vaccine.

Cluster Membership
Respondent age, race and ethnicity, and political viewpoints differed significantly by cluster (P < .001). Compared with the other clusters, the Concerned Believer cluster was older (55.5% age ≥ 65 years vs 16.7%-48.0%) and more frequently reported liberal political views (28.8% vs 4.6%-15.1%). In contrast, the Unconcerned Disbeliever cluster was younger (83.4% age ≤ 64 years vs 44.5%-56.8%) and more frequently reported conservative political views (37.9% vs 17.1%-26.8%) than the other clusters. Whereas the Concerned Ambivalent cluster had the highest proportion of Black (37.7%) and the lowest proportion of White respondents (57.6%), the Unconcerned Disbelievers cluster had the lowest proportion of Black respondents (14.5%) and the highest proportion of White respondents (77.9%). The Unconcerned Disbelievers cluster were significantly less likely to trust COVID-19 vaccine information from any source and to believe those close to them wanted them to get vaccinated.
Association of Cluster Membership and COVID-19 Vaccination
COVID-19 vaccination rates varied more than 3-fold (P < .001) by cluster, with 29.9% of Unconcerned Disbelievers, 93.3% of Concerned Ambivalents, 93.5% of Unconcerned Believers, and 98.9% of Concerned Believers reporting being vaccinated. (Figure). Cluster membership was independently associated with vaccination, with adjusted odds ratios (AORs) of 12.0 (95% CI, 6.1-23.8) for the Concerned Ambivalent, 13.0 (95% CI, 6.9-24.5) for Unconcerned Believer, and 48.6 (95% CI, 15.5-152.1) for Concerned Believer clusters (Table 3). Respondent trust in COVID-19 vaccine information from their VA HCP (AOR 2.1; 95% CI, 1.6-2.8) and the CDC (AOR 1.6; 95% CI, 1.2-2.1) were independently associated with vaccination status, while the remaining respondent sociodemographic or personal characteristics were not.


Qualitative Interview Participants
A 49-participant convenience sample completed interviews, including 30 Concerned Ambivalent, 17 Unconcerned Disbeliever, and 2 Unconcerned Believer respondents cluster. The data were not calculated for Unconcerned Believers due to the small sample size. Interview participants were more likely to be younger, female, non-Hispanic, White, less educated, and more politically conservative than the questionnaire respondents as a whole (Appendix). The vaccination rate for the interview participants was 73.5%, ranging from 29.9% in the Unconcerned Disbeliever to 93.3% in the Concerned Ambivalent cluster. Qualitative themes and participant quotes for Concerned Ambivalent and Unconcerned Disbeliever respondents are in eAppendix 3.
Motivations. Wanting personal protection from becoming infected or severely ill from COVID-19 (63.8%), caregiver wanting to protect others (17.0%), and employment vaccine requirements (14.9%) were frequent motivations for vaccination. Whereas personal protection (90.0%) and protection of others (23.3%) were identified more frequently in the Concerned Ambivalents cluster, employment vaccine requirements (35.3%) were more frequently identified in the Unconcerned Disbelievers cluster.
Hesitancies or concerns. Lack of sufficient information related to rapid vaccine development (55.3%), vaccine AEs (38.3%), and low confidence in vaccine efficacy (23.4%) were frequent concerns or hesitancies about vaccination. Unconcerned Disbelievers expressed higher levels of concern about the vaccine’s rapid development (82.4%), low perceived vaccine efficacy (47.1%), and a lack of trust in governmental vaccine promotion (23.5%) than did the Concerned Ambivalents.
Overcoming concerns. Not wanting to get sick or die from infection coupled with an understanding that vaccine benefits exceed risks (23.4%) and receiving information from a trusted source (10.6%) were common ways of overcoming concerns for vaccination. Although the Unconcerned Disbelievers infrequently identified reasons for overcoming concerns, they identified employment requirements (17.6%) as a reason for vaccination despite concerns. They also identified seeing others with positive vaccine experiences and pressure from family or friends as ways of overcoming concerns (11.8% each).
Social influences. Family members or partners (38.3%), personal opinions (38.3%), and HCPs (23.4%) were frequent social influences for vaccination. Concerned Ambivalents mentioned family members and partners (46.7%), HCPs (26.7%), and friends (20.0%) as common influences, while Unconcerned Disbelievers more frequently relied on their opinion (41.2%) and quoted specific scientifically reputable data sources (17.6%) to guide vaccine decision-making, although it is unclear whether these sources were accessed directly or if this information was obtained indirectly through scientifically unvetted data platforms.
Practical factors. Most participants had positive vaccination experiences (68.1%), determined mainly by the Concerned Ambivalents (90.0%), who were more highly vaccinated. Barriers to vaccination were reported by 9 (19.1%) participants, driven by those in the Concerned Ambivalent cluster (26.7%). Eight (17.0%) participants suggested improvements for vaccination processes, with similar overall reporting frequencies across clusters.
COVID-19 boosters and variants. Wanting continued protection from COVID-19 (36.2%), recommendations from a doctor or trusted source (17.0%), and news about emerging variants (10.6%) were frequent motivations for receiving a vaccine booster (eAppendix 4). These motivations were largely driven by the Concerned Ambivalents, of whom 25 of 30 were booster eligible and 24 received a booster dose. Belief that boosters were unnecessary (8.5%), concerns about efficacy (6.4%), and concerns about AEs (6.4%) were frequently identified hesitancies. These concerns were expressed largely by the Unconcerned Disbelievers, of whom 7 of 17 were booster dose eligible, but only 1 received a dose.
Evolving knowledge about variants was not a major concern overall and did not change existing opinions about the vaccine (36.2%). Concerned Ambivalents believed vaccination provided extra protection against variants (36.7%) and the emergence of variants served as a reminder of the ongoing pandemic (30.0%). In contrast, Unconcerned Disbelievers believed that the threat of variants was overblown (35.3%) and mutations are to be expected (17.6%).
Discussion
This study used a complementary mixed-methods approach to understand the motivations, hesitancies, and social and practical drivers of COVID-19 vaccine uptake among VA beneficiaries. Our quantitative analyses identified 4 distinct clusters based on respondents’ opinions on COVID-19 infection severity and vaccine effectiveness and safety. Veterans in 3 clusters were 12 to 49 times more likely to be vaccinated than those in the remaining cluster, even when controlling for baseline respondent characteristics and level of trust in credible sources of COVID-19 information. The observed vaccination rate of nearly 86% was higher than the contemporaneous national average of 62% for vaccine-eligible individuals, likely reflecting the comprehensive VA vaccine promotion strategies tailored to a patient demographic with a high COVID-19 risk profile.2,10

This cluster analyses demonstrated the importance of thoughts and feelings about COVID-19 infection and vaccination as influential social and behavioral drivers of vaccine uptake. These opinions help explain the strong association between cluster membership and vaccination status in this multivariable modeling. The cluster composition was consistent with findings from studies of nonveteran populations that identified perceived vulnerability to COVID-19 infection, beliefs in vaccine effectiveness, and adherence with protective behaviors during the pandemic as contributors to vaccine uptake.13,33 Qualitative themes showed that personal protection, protecting others, and vaccine mandates were frequent motivators for vaccination. Whereas protection of self and others from COVID-19 infection were more often expressed by the highly vaccinated Concerned Ambivalents, employment and travel vaccine mandates were more often identified by Unconcerned Disbelievers, who had a lower vaccination rate. Among Unconcerned Disbelievers, an employer vaccine requirement was the most frequent qualitative theme for overcoming vaccination concerns.
In addition to cluster membership, our modeling showed that trust in local VA HCPs and the CDC were independently associated with COVID-19 vaccination, which has been found in prior research.20 This qualitative analyses regarding vaccine hesitancy identified trust-related concerns that were more frequently expressed by Unconcerned Disbelievers than Concerned Ambivalents. Concerns included the rapid development of the vaccines potentially limiting the generation of scientifically sound effectiveness and safety data, and potential biases involving the entities promoting vaccine uptake.
Whereas the Concerned Believers, Unconcerned Believers, and Concerned Ambivalents all had high COVID-19 vaccination rates (≥ 93%), the decision-making pathways to vaccine uptake likely differ by their concerns about COVID-19 infection and perceptions of vaccine safety and effectiveness. For example, this mixed-methods analysis consistently showed that people in the Concerned Ambivalent cluster were positively motivated by concerns about COVID-19 infection and severity and beliefs about vaccine effectiveness that were tempered by concerns about vaccine AEs. For this cluster, their frequent thematic expression that the benefits of the vaccine exceed the risks, and the positive social influences of family, friends, and HCPs may explain their high vaccination rate.
Such insights into how the patterns of COVID-19–related thoughts and feelings vary across clusters can be used to design interventions to encourage initial and booster doses of COVID-19 vaccines. For example, messaging that highlights the infectivity and severity of COVID-19 and the potential for persistent negative health outcomes associated with long COVID could reinforce the beliefs of Concerned Believers and Concerned Ambivalents, and such messaging could also be used as a targeted intervention for Unconcerned Believers who expressed fewer concerns about the health consequences of COVID-19.23 Likewise, messaging about the safety profile of COVID-19 vaccines may reduce vaccine hesitancy for Concerned Ambivalents. Importantly, purposeful attention to health equity, community engagement, and involvement of racially diverse HCPs in patient discussions represent successful strategies to increase COVID-19 vaccine uptake among Black individuals, who were disproportionately represented in the Concerned Ambivalent cluster and may possess higher levels of mistrust due to racism experienced within the health care system.24
Our findings suggest that the greatest challenge for overcoming vaccine hesitancy is for individuals in the suboptimally vaccinated (30%) Unconcerned Disbeliever cluster. These individuals had low levels of concern about COVID-19 infection and severity, high levels of concern about vaccine safety, low perceived vaccine effectiveness, and low levels of trust in all information sources about COVID-19. While the Unconcerned Disbelievers cited scientifically reputable data sources, we were unable to verify whether participants accessed these reputable sources of information directly or obtained such information indirectly through potentially biased online sources. Nearly half of this cluster trusted their VA HCP and believed their community or religious leaders would want them to get vaccinated. This qualitative analyses found that Unconcerned Disbelievers relied on personal beliefs for vaccine decision-making more than Concerned Ambivalents. While Unconcerned Disbelievers were less likely to be socially influenced by family, friends, or religious leaders, they still acknowledged some impact from these sources. These findings suggest that addressing vaccine hesitancy among Unconcerned Disbelievers may require a multifaceted approach that respects their reliance on personal research while also leveraging the potential social influences. This approach supports the promising, previously reported practices of harnessing the social influences of HCPs and other community and religious leaders to promote vaccine uptake among Unconcerned Disbelievers.34,35 One evidence-based approach to effectively change patient health care behaviors is through motivational interviewing strategies that use open-ended questions, nonjudgmental interactions, and collaborative decision-making when discussing the risks and benefits of vaccination.21,22
Limitations
This study was conducted at a single VA health care facility and our sampling technique was nonrandom, suggesting that these results may not be generalizable to all veterans or non-VA patient populations. The 21% questionnaire response rate could have introduced selection bias into the respondent sample. All questionnaire data were self-reported, including vaccination status. Finally, the qualitative interviews consisted of a small number of unvaccinated individuals in 2 clusters (ie, Concerned Ambivalents and Unconcerned Disbelievers) and may not have reached thematic saturation in these subgroups.
Conclusions
Quantitative analyses identified 4 clusters based on individual thoughts and feelings about COVID-19 infection and vaccines. Cluster membership and levels of trust in COVID-19 information sources were independently associated with vaccination. Understanding the quantitative patterns of thoughts and beliefs across clusters, enriched by common qualitative themes for vaccine hesitancy, help inform tailored interventions to augment COVID-19 vaccine uptake and highlight the importance of targeted, trust-based communication and culturally sensitive interventions to enhance vaccine uptake across diverse populations.
The SARS-CoV-2 virus has resulted in > 778 million reported COVID-19 cases and > 7 million deaths worldwide. 1 About 70% of the eligible US population has completed a primary COVID-19 vaccination series, yet only 17% have received an updated bivalent booster dose.2 These immunization rates fall below the World Health Organization (WHO) target of 70%.3
Early in the pandemic, US Department of Veterans Affairs (VA) vaccination rates ranged from 46% to 71%.4,5 Ensuring a high level of COVID-19 vaccination in the largest integrated US health care system aligns with the VA priority to provide high-quality, evidence-based care to a patient population that is older and has more comorbidities than the overall US population.6-9
Vaccine hesitancy, defined as a “delay in acceptance or refusal of vaccination despite availability of vaccination service,” is a major contributor to suboptimal vaccination rates.10-13 Previous studies used cluster analyses to identify the unique combinations of behavioral and social factors responsible for COVID-19 vaccine hesitancy.10,11 Lack of perceived vaccine effectiveness and low perceived risk of the health consequences from COVID-19 infection were frequently identified in clusters where patients had the lowest intent for vaccination.10,11 Similarly, low trust in health care practitioners (HCPs), government, and pharmaceutical companies diminished intent for vaccination in these clusters.10 These quantitative studies were limited by their exclusive focus on unvaccinated individuals, reliance on self-reported intent, and lack of assessment of a health care system with a COVID-19 vaccine delivery program designed to overcome barriers to health care access, such as the VA.
Prior qualitative studies of vaccine uptake in distinct veteran subgroups (ie, unhoused and in VA facilities with low vaccination rates) demonstrated that overriding medical priorities among the unhoused and vaccine safety concerns were associated with decreased vaccine uptake, and positive perceptions of HCPs and the health care system were associated with increased vaccine uptake.11,12 However, these studies were conducted during periods of greater COVID-19 vaccine availability and acceptance, and prior to booster recommendations.4,12,13
This mixed-methods quality improvement (QI) project assessed the barriers and facilitators of COVID-19 vaccination among veterans receiving primary care at a single VA health care facility. We assessed whether unique patient clusters could be identified based on COVID-19–related and vaccine-related thoughts and feelings and whether cluster membership was associated with COVID-19 vaccination. This analysis also explored how individuals’ beliefs and trust shaped motivations and hesitancies for vaccine uptake in quantitatively derived clusters with varying vaccination rates.
Methods
This QI project was conducted at the VA Pittsburgh Healthcare System (VAPHS), a tertiary care facility serving > 75,000 veterans in Pennsylvania, West Virginia, and Ohio. The VAPHS Institutional Review Board determined this QI study was exempt from review.14-17 Participation was voluntary and had no bearing on VA health care or benefits. Financial support for the project, including key personnel and participant compensation, was provided by VAPHS. We followed the STROBE reporting guideline for cross-sectional studies and the COREQ checklist for qualitative research.18,19
Quantitative Survey
The 32,271 veterans assigned to a VAPHS primary care HCP, effective April 1, 2020, were eligible. To ensure representation of subgroups underrecognized in research and/or QI projects, the sample included all 1980 female patients at VAPHS and a random sample of 500 White and 500 Hispanic and/or non-White men within 4 age categories (< 50, 50-64, 65-84, and > 84 years). For the < 50 years or > 84 years categories, all Hispanic and/or non-White men were included due to small sample sizes.20-22 The nonrandom sampling frame comprised 1708 Hispanic and/or non-White men and 2000 White men. After assigning the 5688 potentially eligible individuals a unique identifier, 31 opted out, resulting in a final sample of 5657 individuals.
The 5657 individuals received a letter requesting their completion of a future questionnaire about COVID-19 infection and vaccines. An electronic Qualtrics questionnaire link was emailed to 3221 individuals; nonresponders received 2 follow-up email reminders. For the 2436 veterans without an email address on file, trained interviewers conducted phone surveys and entered responses. Those patients who completed the questionnaire could enter a drawing to win 1 of 100 cash prizes valued at $100. We collected questionnaire data from July to September 2021.
Questionnaire Items
We constructed a 60-item questionnaire based on prior research on COVID-19 vaccine hesitancy and the WHO Guidebook for Immunization Programs and Implementing Partners.4,23-25 The WHO Guidebook comprises survey items organized within 4 domains reflecting the behavioral and social determinants of vaccination: thoughts and feelings; social processes; motivation and hesitancy; and practical factors.23
Sociodemographic, clinical, and personal characteristics. The survey assessed respondent ethnicity and race and used these data to create a composite race and ethnicity variable. Highest educational level was also attained using 8 response options. The survey also assessed prior COVID-19 infection; prior receipt of vaccines for influenza, pneumonia, tetanus, or shingles; and presence of comorbidities that increase the risk of severe COVID-19 infection. We used administrative data from the VA Corporate Data Warehouse to determine respondent age, sex, geographic residence (urban, rural), and to fill in missing self-reported data on sex (n = 4) and ethnicity and race (n = 12). The survey assessed political views using a 5-point Likert scale (1, very liberal; 5, very conservative) and was collapsed into 3 categories (ie, very conservative or conservative, moderate, very liberal or liberal), with prefer not to answer reported separately
COVID-19 infection and vaccine. We asked veterans if they had ever been infected with COVID-19, whether they had been offered and/or received a COVID-19 vaccine, and type (Pfizer, Moderna, or Johnson & Johnson), and number of doses received. Positive vaccination status was defined as the receipt of ≥ 1 dose of a COVID-19 vaccine approved by the US Food and Drug Administration.
COVID-19 opinions. Respondents were asked about perceived risk of COVID-19 infection and related health outcomes, as well as beliefs about COVID-19 vaccines, using a 4-point Likert scale for all items: (1, not at all concerned; 4, very concerned). Respondents were asked about concerns related to COVID-19 infection and severe illness. They also were asked about vaccine-related short-term adverse effects (AEs) and long-term complications. Respondents were asked how effective they believed COVID-19 vaccines were at preventing infection, serious illness, or death. Unvaccinated and vaccinated veterans were asked similar items, with a qualifier of “before getting vaccinated…” for those who were vaccinated.
Social processes. Respondents were asked to rate their level of trust in various sources of COVID-19 vaccine information using a 4-point Likert scale (1, trust not at all; 4, trust very much). Respondents were asked whether community or religious leaders or close family or friends wanted them to get vaccinated (yes, no, or unsure).
Practical factors. Respondents were asked to rate the logistical difficulty of getting vaccinated or trying to get vaccinated using a 4-point Likert scale (1, not at all; 4, extremely).
Participants
Respondents were asked to participate in a follow-up qualitative interview. Among 293 participants who agreed, we sampled all 86 unvaccinated individuals regardless of cluster assignment, a random sample of 88 individuals in the cluster with the lowest vaccination rate, and all 33 vaccinated individuals in the cluster with the second-lowest vaccination rate. Forty-nine veterans completed qualitative interviews.
Two research staff trained in qualitative research completed telephone interviews, averaging 16.5 minutes (March to May 2022), using semistructured scripts to elicit vaccine-related motivations, hesitancies, or concerns. Interviews were recorded, transcribed, and deidentified. Participants provided written consent for recording and received $50 cash-equivalent compensation for interview completion.
Qualitative Interview Script
The interview script consisted of open-ended questions related to vaccine uptake across WHO domains.23 Both unvaccinated and vaccinated respondents were asked similar questions and customized questions about boosters for the vaccinated subgroup. To assess motivations and hesitancies, respondents were asked how they made their decisions about vaccination and what they considered when deciding. Vaccinated participants were asked about motivations and overcoming concerns. Unvaccinated respondents were asked about reasons for concern. To assess social processes, the interviewers asked participants whose opinion or counsel they trusted when deciding whether to get vaccinated. Questions also focused on positive experiences and vaccination barriers. Vaccinated participants were asked what could have improved their vaccination experiences. Finally, the interviewers asked participants who received a complete primary vaccine series about their motivations and plans related to booster vaccines, and whether information about emerging COVID-19 variants influenced their decisions.
Data Analyses
This analysis used X2 and Fisher exact tests to assess the associations among respondent characteristics, questionnaire responses, vaccination status, and cluster membership. Items phrased similarly were handled in a similar fashion for vaccinated and unvaccinated respondents.
Cluster analysis assessed the possible groupings in responses to the quantitative questionnaire items focused on thoughts and feelings about COVID-19 infection risk and severity, vaccine effectiveness, and vaccine safety. This analysis treated the items’ ordinal response categories as continuous. We performed factor analysis using principal component analysis to explore dimension reduction and account for covariance between items. Two principal components were calculated and applied k-means clustering, determining the number of clusters through agreement from the elbow, gap statistic, and silhouette methods.26 Each cluster was named based on its unique pattern of responses to the items used to define them (eAppendix 1).

Multivariable logistic regression analyses assessed the independent association between cluster membership as the independent measure and vaccination status as the dependent measure, adjusting for respondent sociodemographic and personal characteristics and 2 measures of trust (ie, local VA HCP and the CDC). We selected these trust measures because they represent objective sources of medical information and were independently associated with COVID-19 vaccination status in a logistic regression model comprising all 6 trust items assessed.
This study defined statistical significance as a 2-tailed P value < .05. SAS 9.4 was used for all statistical analyses and Python 3.7.4 and the Scikit-learn package for cluster analyses.27 For qualitative analyses, this study used an inductive thematic approach guided by conventional qualitative content analysis, NVivo 12 Plus for Windows to code and analyze interview transcripts.28,29 We created an initial codebook based on 10 transcripts that were selected for high complexity and represented cluster membership and vaccination status.30,31 After 2 qualitative staff developed the initial codebook, 11 of 49 (22%) transcripts were independently coded by a primary and secondary coder to ensure consistent code application. Both coders reviewed the cocoded transcripts and resolved all discrepancies through negotiated consensus.32 After the cocoding process was complete, the primary coder coded the remaining transcripts. The primary and secondary coder met as needed to review and discuss any questions that arose during the primary coder’s work.
Results
Of 5657 eligible participants, 1208 (21.4%) completed a questionnaire. Overall, 674 (55.8%) were aged < 65 years, 530 (43.9%) were women, 828 (68.5%) were non-Hispanic White, 303 (25.1%) were Black, and 47 (3.9%) were Hispanic, and 1034 (85.6%) were vaccinated (Table 1). Compared to the total sampled population, respondents were more often older, female, and White (eAppendix 2).


Cluster Membership
Four clusters were identified from 1183 (97.9%) participants who provided complete responses to 6 items assessing thoughts and feelings about COVID-19 infection and vaccines (Table 2). Of the 1183 respondents, 375 (31.7%) were Concerned Believers (cluster 1), 336 (28.4%) were Unconcerned Believers (cluster 2), 298 (25.2%) were Concerned Ambivalents (cluster 3), and 174 (14.7%) were Unconcerned Disbelievers (cluster 4). The Concerned Believers were moderately/ very concerned about COVID-19 infection (96.0%) and becoming very ill from infection (94.6%), believed the vaccine was moderately/very effective in preventing COVID-19 infection (100%) and severe illness or death from infection (98.7%), and had slight concern about short-term AEs (92.6%) or long-term complications (92.0%) from the vaccine. The Unconcerned Believers had no/slight concern about COVID-19 infection (76.5%) or becoming very ill (79.2%), believed the vaccine was effective in preventing infection (82.4%) and severe illness and death (83.6%), and had no/slight concern about short-term AEs (94.0%) or long-term complications (87.2%) from the vaccine. The Concerned Ambivalents were moderately/ very concerned about COVID-19 infection (94.3%) and becoming very ill (93.6%), believed the vaccine was moderately/very effective in preventing infection (86.6%) and severe illness or death (86.9%), and were moderately/very concerned about short-term AEs (81.9%) or long-term complications (89.3%) from the vaccine. The Unconcerned Disbelievers had no/slight concern about COVID-19 infection (90.8%) and becoming very ill (88.6%), believed the vaccine was not at all/slightly effective in preventing infection (90.3%) and severe illness or death (87.4%), and were moderately/very concerned about short-term AEs (52.8%) or long-term complications (75.9%) from the vaccine.

Cluster Membership
Respondent age, race and ethnicity, and political viewpoints differed significantly by cluster (P < .001). Compared with the other clusters, the Concerned Believer cluster was older (55.5% age ≥ 65 years vs 16.7%-48.0%) and more frequently reported liberal political views (28.8% vs 4.6%-15.1%). In contrast, the Unconcerned Disbeliever cluster was younger (83.4% age ≤ 64 years vs 44.5%-56.8%) and more frequently reported conservative political views (37.9% vs 17.1%-26.8%) than the other clusters. Whereas the Concerned Ambivalent cluster had the highest proportion of Black (37.7%) and the lowest proportion of White respondents (57.6%), the Unconcerned Disbelievers cluster had the lowest proportion of Black respondents (14.5%) and the highest proportion of White respondents (77.9%). The Unconcerned Disbelievers cluster were significantly less likely to trust COVID-19 vaccine information from any source and to believe those close to them wanted them to get vaccinated.
Association of Cluster Membership and COVID-19 Vaccination
COVID-19 vaccination rates varied more than 3-fold (P < .001) by cluster, with 29.9% of Unconcerned Disbelievers, 93.3% of Concerned Ambivalents, 93.5% of Unconcerned Believers, and 98.9% of Concerned Believers reporting being vaccinated. (Figure). Cluster membership was independently associated with vaccination, with adjusted odds ratios (AORs) of 12.0 (95% CI, 6.1-23.8) for the Concerned Ambivalent, 13.0 (95% CI, 6.9-24.5) for Unconcerned Believer, and 48.6 (95% CI, 15.5-152.1) for Concerned Believer clusters (Table 3). Respondent trust in COVID-19 vaccine information from their VA HCP (AOR 2.1; 95% CI, 1.6-2.8) and the CDC (AOR 1.6; 95% CI, 1.2-2.1) were independently associated with vaccination status, while the remaining respondent sociodemographic or personal characteristics were not.


Qualitative Interview Participants
A 49-participant convenience sample completed interviews, including 30 Concerned Ambivalent, 17 Unconcerned Disbeliever, and 2 Unconcerned Believer respondents cluster. The data were not calculated for Unconcerned Believers due to the small sample size. Interview participants were more likely to be younger, female, non-Hispanic, White, less educated, and more politically conservative than the questionnaire respondents as a whole (Appendix). The vaccination rate for the interview participants was 73.5%, ranging from 29.9% in the Unconcerned Disbeliever to 93.3% in the Concerned Ambivalent cluster. Qualitative themes and participant quotes for Concerned Ambivalent and Unconcerned Disbeliever respondents are in eAppendix 3.
Motivations. Wanting personal protection from becoming infected or severely ill from COVID-19 (63.8%), caregiver wanting to protect others (17.0%), and employment vaccine requirements (14.9%) were frequent motivations for vaccination. Whereas personal protection (90.0%) and protection of others (23.3%) were identified more frequently in the Concerned Ambivalents cluster, employment vaccine requirements (35.3%) were more frequently identified in the Unconcerned Disbelievers cluster.
Hesitancies or concerns. Lack of sufficient information related to rapid vaccine development (55.3%), vaccine AEs (38.3%), and low confidence in vaccine efficacy (23.4%) were frequent concerns or hesitancies about vaccination. Unconcerned Disbelievers expressed higher levels of concern about the vaccine’s rapid development (82.4%), low perceived vaccine efficacy (47.1%), and a lack of trust in governmental vaccine promotion (23.5%) than did the Concerned Ambivalents.
Overcoming concerns. Not wanting to get sick or die from infection coupled with an understanding that vaccine benefits exceed risks (23.4%) and receiving information from a trusted source (10.6%) were common ways of overcoming concerns for vaccination. Although the Unconcerned Disbelievers infrequently identified reasons for overcoming concerns, they identified employment requirements (17.6%) as a reason for vaccination despite concerns. They also identified seeing others with positive vaccine experiences and pressure from family or friends as ways of overcoming concerns (11.8% each).
Social influences. Family members or partners (38.3%), personal opinions (38.3%), and HCPs (23.4%) were frequent social influences for vaccination. Concerned Ambivalents mentioned family members and partners (46.7%), HCPs (26.7%), and friends (20.0%) as common influences, while Unconcerned Disbelievers more frequently relied on their opinion (41.2%) and quoted specific scientifically reputable data sources (17.6%) to guide vaccine decision-making, although it is unclear whether these sources were accessed directly or if this information was obtained indirectly through scientifically unvetted data platforms.
Practical factors. Most participants had positive vaccination experiences (68.1%), determined mainly by the Concerned Ambivalents (90.0%), who were more highly vaccinated. Barriers to vaccination were reported by 9 (19.1%) participants, driven by those in the Concerned Ambivalent cluster (26.7%). Eight (17.0%) participants suggested improvements for vaccination processes, with similar overall reporting frequencies across clusters.
COVID-19 boosters and variants. Wanting continued protection from COVID-19 (36.2%), recommendations from a doctor or trusted source (17.0%), and news about emerging variants (10.6%) were frequent motivations for receiving a vaccine booster (eAppendix 4). These motivations were largely driven by the Concerned Ambivalents, of whom 25 of 30 were booster eligible and 24 received a booster dose. Belief that boosters were unnecessary (8.5%), concerns about efficacy (6.4%), and concerns about AEs (6.4%) were frequently identified hesitancies. These concerns were expressed largely by the Unconcerned Disbelievers, of whom 7 of 17 were booster dose eligible, but only 1 received a dose.
Evolving knowledge about variants was not a major concern overall and did not change existing opinions about the vaccine (36.2%). Concerned Ambivalents believed vaccination provided extra protection against variants (36.7%) and the emergence of variants served as a reminder of the ongoing pandemic (30.0%). In contrast, Unconcerned Disbelievers believed that the threat of variants was overblown (35.3%) and mutations are to be expected (17.6%).
Discussion
This study used a complementary mixed-methods approach to understand the motivations, hesitancies, and social and practical drivers of COVID-19 vaccine uptake among VA beneficiaries. Our quantitative analyses identified 4 distinct clusters based on respondents’ opinions on COVID-19 infection severity and vaccine effectiveness and safety. Veterans in 3 clusters were 12 to 49 times more likely to be vaccinated than those in the remaining cluster, even when controlling for baseline respondent characteristics and level of trust in credible sources of COVID-19 information. The observed vaccination rate of nearly 86% was higher than the contemporaneous national average of 62% for vaccine-eligible individuals, likely reflecting the comprehensive VA vaccine promotion strategies tailored to a patient demographic with a high COVID-19 risk profile.2,10

This cluster analyses demonstrated the importance of thoughts and feelings about COVID-19 infection and vaccination as influential social and behavioral drivers of vaccine uptake. These opinions help explain the strong association between cluster membership and vaccination status in this multivariable modeling. The cluster composition was consistent with findings from studies of nonveteran populations that identified perceived vulnerability to COVID-19 infection, beliefs in vaccine effectiveness, and adherence with protective behaviors during the pandemic as contributors to vaccine uptake.13,33 Qualitative themes showed that personal protection, protecting others, and vaccine mandates were frequent motivators for vaccination. Whereas protection of self and others from COVID-19 infection were more often expressed by the highly vaccinated Concerned Ambivalents, employment and travel vaccine mandates were more often identified by Unconcerned Disbelievers, who had a lower vaccination rate. Among Unconcerned Disbelievers, an employer vaccine requirement was the most frequent qualitative theme for overcoming vaccination concerns.
In addition to cluster membership, our modeling showed that trust in local VA HCPs and the CDC were independently associated with COVID-19 vaccination, which has been found in prior research.20 This qualitative analyses regarding vaccine hesitancy identified trust-related concerns that were more frequently expressed by Unconcerned Disbelievers than Concerned Ambivalents. Concerns included the rapid development of the vaccines potentially limiting the generation of scientifically sound effectiveness and safety data, and potential biases involving the entities promoting vaccine uptake.
Whereas the Concerned Believers, Unconcerned Believers, and Concerned Ambivalents all had high COVID-19 vaccination rates (≥ 93%), the decision-making pathways to vaccine uptake likely differ by their concerns about COVID-19 infection and perceptions of vaccine safety and effectiveness. For example, this mixed-methods analysis consistently showed that people in the Concerned Ambivalent cluster were positively motivated by concerns about COVID-19 infection and severity and beliefs about vaccine effectiveness that were tempered by concerns about vaccine AEs. For this cluster, their frequent thematic expression that the benefits of the vaccine exceed the risks, and the positive social influences of family, friends, and HCPs may explain their high vaccination rate.
Such insights into how the patterns of COVID-19–related thoughts and feelings vary across clusters can be used to design interventions to encourage initial and booster doses of COVID-19 vaccines. For example, messaging that highlights the infectivity and severity of COVID-19 and the potential for persistent negative health outcomes associated with long COVID could reinforce the beliefs of Concerned Believers and Concerned Ambivalents, and such messaging could also be used as a targeted intervention for Unconcerned Believers who expressed fewer concerns about the health consequences of COVID-19.23 Likewise, messaging about the safety profile of COVID-19 vaccines may reduce vaccine hesitancy for Concerned Ambivalents. Importantly, purposeful attention to health equity, community engagement, and involvement of racially diverse HCPs in patient discussions represent successful strategies to increase COVID-19 vaccine uptake among Black individuals, who were disproportionately represented in the Concerned Ambivalent cluster and may possess higher levels of mistrust due to racism experienced within the health care system.24
Our findings suggest that the greatest challenge for overcoming vaccine hesitancy is for individuals in the suboptimally vaccinated (30%) Unconcerned Disbeliever cluster. These individuals had low levels of concern about COVID-19 infection and severity, high levels of concern about vaccine safety, low perceived vaccine effectiveness, and low levels of trust in all information sources about COVID-19. While the Unconcerned Disbelievers cited scientifically reputable data sources, we were unable to verify whether participants accessed these reputable sources of information directly or obtained such information indirectly through potentially biased online sources. Nearly half of this cluster trusted their VA HCP and believed their community or religious leaders would want them to get vaccinated. This qualitative analyses found that Unconcerned Disbelievers relied on personal beliefs for vaccine decision-making more than Concerned Ambivalents. While Unconcerned Disbelievers were less likely to be socially influenced by family, friends, or religious leaders, they still acknowledged some impact from these sources. These findings suggest that addressing vaccine hesitancy among Unconcerned Disbelievers may require a multifaceted approach that respects their reliance on personal research while also leveraging the potential social influences. This approach supports the promising, previously reported practices of harnessing the social influences of HCPs and other community and religious leaders to promote vaccine uptake among Unconcerned Disbelievers.34,35 One evidence-based approach to effectively change patient health care behaviors is through motivational interviewing strategies that use open-ended questions, nonjudgmental interactions, and collaborative decision-making when discussing the risks and benefits of vaccination.21,22
Limitations
This study was conducted at a single VA health care facility and our sampling technique was nonrandom, suggesting that these results may not be generalizable to all veterans or non-VA patient populations. The 21% questionnaire response rate could have introduced selection bias into the respondent sample. All questionnaire data were self-reported, including vaccination status. Finally, the qualitative interviews consisted of a small number of unvaccinated individuals in 2 clusters (ie, Concerned Ambivalents and Unconcerned Disbelievers) and may not have reached thematic saturation in these subgroups.
Conclusions
Quantitative analyses identified 4 clusters based on individual thoughts and feelings about COVID-19 infection and vaccines. Cluster membership and levels of trust in COVID-19 information sources were independently associated with vaccination. Understanding the quantitative patterns of thoughts and beliefs across clusters, enriched by common qualitative themes for vaccine hesitancy, help inform tailored interventions to augment COVID-19 vaccine uptake and highlight the importance of targeted, trust-based communication and culturally sensitive interventions to enhance vaccine uptake across diverse populations.
- World Health Organization. WHO COVID-19 dashboard. Accessed July 18, 2025. https://covid19.who.int/
- Centers for Disease Control and Prevention. COVIDVax- View: Weekly COVID-19 Vaccination Coverage and Intent among Adults. Accessed June 10, 2025. https://www.cdc.gov/covidvaxview/weekly-dashboard/adult-vaccination-coverage.html
- World Health Organization. Strategy to achieve global Covid-19 vaccination by mid-2022. 2021. Accessed April 30, 2025. https://cdn.who.int/media/docs/default-source/immunization/covid-19/strategy-to-achieve-global-covid-19-vaccination-by-mid-2022.pdf
- Jasuja GK, Meterko M, Bradshaw LD, et al. Attitudes and intentions of US veterans regarding COVID-19 vaccination. JAMA Netw Open. 2021;4(11):e2132548. doi:10.1001/jamanetworkopen.2021.32548
- Der-Martirosian C, Steers WN, Northcraft H, Chu K, Dobalian A. Vaccinating veterans for COVID-19 at the U.S. Department of Veterans Affairs. Am J Prev Med. 2022;62(6):e317-e324. doi:10.1016/j.amepre.2021.12.016
- Bloeser K, Lipkowitz-Eaton J. Disproportionate multimorbidity among veterans in middle age. J Public Health (Oxf). 2022;44(1):28-35. doi:10.1093/pubmed/fdab149
- US Department of Veterans Affairs. National Center for Veterans Analysis and Statistics: veteran population. Updated March 26, 2025. Accessed April 30, 2025. https://www.va.gov/vetdata/Veteran_Population.asp
- Olenick M, Flowers M, Diaz VJ. US veterans and their unique issues: enhancing health care professional awareness. Adv Med Educ Pract. 2015;6:635-639. doi:10.2147/AMEP.S89479
- Orkaby AR, Nussbaum L, Ho YL, et al. The burden of frailty among U.S. veterans and its association with mortality, 2002-2012. J Gerontol A Biol Sci Med Sci. 2019;74(8):1257-1264. doi:10.1093/gerona/gly232
- Bass SB, Kelly PJ, Hoadley A, Arroyo Lloret A, Organtini T. Mapping perceptual differences to understand COVID-19 beliefs in those with vaccine hesitancy. J Health Commun. 2022;27(1):49-61. doi:10.1080/10810730.2022.2042627
- Meng L, Masters NB, Lu PJ, et al. Cluster analysis of adults unvaccinated for COVID-19 based on behavioral and social factors, National Immunization Survey-Adult COVID Module, United States. Prev Med. 2023;167:107415. doi:10.1016/j.ypmed.2022.107415
- Gin JL, Balut MD, Dobalian A. COVID-19 vaccination uptake and receptivity among veterans enrolled in homelessness- tailored primary health care clinics: provider trust vs. misinformation. BMC Prim Care. 2024;25(1):24. doi:10.1186/s12875-023-02251-x
- Wilson GM, Ray CE, Kale IO, et al. Age and beliefs about vaccines associated with COVID-19 vaccination among US veterans. Antimicrob Steward Healthc Epidemiol. 2023;3(1):e184. doi:10.1017/ash.2023.446
- VA Pittsburgh Healthcare System (VAPHS). Human Research Protection Program (HRPP) policy for quality assurance/ quality improvement projects. Policy H-013. December 31, 2021. Accessed April 30, 2025. https://www.va.gov/files/2020-11/H-013_QAQI%20Project_revised_updated%20format_clean_508.pdf
- Burkitt KH, Rodriguez KL, Mor MK, et al. Evaluation of a collaborative VA network initiative to reduce racial disparities in blood pressure control among veterans with severe hypertension. Healthc (Amst). 2021;8(suppl 1):100485. doi:10.1016/j.hjdsi.2020.100485
- Sinkowitz-Cochran RL, Burkitt KH, Cuerdon T, et al. The associations between organizational culture and knowledge, attitudes, and practices in a multicenter Veterans Affairs quality improvement initiative to prevent methicillin-resistant Staphylococcus aureus. Am J Infect Control. 2012;40(2):138-143. doi:10.1016/j.ajic.2011.04.332
- Burkitt KH, Sinkowitz-Cochran RL, Obrosky DS, et al. Survey of employee knowledge and attitudes before and after a multicenter Veterans’ Administration quality improvement initiative to reduce nosocomial methicillin-resistant Staphylococcus aureus infections. Am J Infect Control. 2010;38(4):274-282. doi:10.1016/j.ajic.2009.08.019
- STROBE - strengthening the reporting of observational studies in epidemiology. What is STROBE? Accessed April 30, 2025. https://www.strobe-statement.org/
- Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349-357. doi:10.1093/intqhc/mzm042
- Ward RE, Nguyen XT, Li Y, et al; on behalf of the VA Million Veteran Program. Racial and ethnic disparities in U.S. veteran health characteristics. Int J Environ Res Public Health. 2021;18(5):2411. doi:10.3390/ijerph18052411
- Harrington KM, Nguyen XT, Song RJ, et al; VA Million Veteran Program. Gender differences in demographic and health characteristics of the Million Veteran Program cohort. Womens Health Issues. 2019;29(suppl 1):S56-S66. doi:10.1016/j.whi.2019.04.012
- Washington DL, ed. National Veteran Health Equity Report 2021. Focus on Veterans Health Administration Patient Experience and Health Care Quality. VHA Office of Health Equity; September 2022. Accessed April 30, 2025. https://www.va.gov/healthequity/nvher.asp
- World Health Organization. Data for action: achieving high uptake of COVID-19 vaccines. April 1, 2021. Accessed April 30, 2025. https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccination-demand-planning-2021.1
- Hoffman BL, Boness CL, Chu KH, et al. COVID- 19 vaccine hesitancy, acceptance, and promotion among healthcare workers: a mixed-methods analysis. J Community Health. 2022;47(5):750-758. doi:10.1007/s10900-022-01095-3
- Vasudevan L, Bruening R, Hung A, et al. COVID- 19 vaccination intention and activation among health care system employees: a mixed methods study. Vaccine. 2022;40(35):5141-5152. doi:10.1016/j.vaccine.2022.07.010
- Tibshirani R, Walther G, Hastie T. Estimating the number of clusters in a data set via the gap statistic. J R Stat Soc Series B Stat Methodol. 2001;63(2):411-423. doi:10.1111/1467-9868.00293
- Pedregosa FP, Varoquaux G, Gramfort A, et al. Scikitlearn: machine learning in Python. J Mach Learn Res. 2011;12:2825-2830.
- Proudfoot K. Inductive/deductive hybrid thematic analysis in mixed methods research. J Mix Methods Res. 2022;17(3): 308-326. doi:10.1177/15586898221126816
- Chapman AL, Hadfield M, Chapman CJ. Qualitative research in healthcare: an introduction to grounded theory using thematic analysis. J R Coll Physicians Edinb. 2015;45(3):201-205. doi:10.4997/jrcpe.2015.305
- Grandheim UH, Lundman B. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Educ Today. 2004;24(2):105-112. doi:10.1016/j.nedt.2003.1001
- Sandelowski M. Whatever happened to qualitative description? Res Nurs Health. 2000;23(4):334-340. doi:10.1002/1098-240x(200008)23:4<334::aid-nur9 >3.0.co;2-g
- Garrison DR, Cleveland-Innes M, Koole M, Kappelman J. Revisiting methodological issues in transcript analysis: negotiated coding and reliability. Internet High Educ. 2006;9(1):1-8. doi:10.1016/j.iheduc.2005.11.001
- Wagner AL, Porth JM, Wu Z, Boulton ML, Finlay JM, Kobayashi LC. Vaccine hesitancy during the COVID-19 pandemic: a latent class analysis of middle-aged and older US adults. J Community Health. 2022;47(3):408- 415. doi:10.1007/s10900-022-01064-w
- Syed U, Kapera O, Chandrasekhar A, et al. The role of faith-based organizations in improving vaccination confidence & addressing vaccination disparities to help improve vaccine uptake: a systematic review. Vaccines (Basel). 2023;11(2):449. doi:10.3390/vaccines11020449
- Evans D, Norrbom C, Schmidt S, Powell R, McReynolds J, Sidibe T. Engaging community-based organizations to address barriers in public health programs: lessons learned from COVID-19 vaccine acceptance programs in diverse rural communities. Health Secur. 2023;21(S1):S17-S24. doi:10.1089/hs.2023.0017
- World Health Organization. WHO COVID-19 dashboard. Accessed July 18, 2025. https://covid19.who.int/
- Centers for Disease Control and Prevention. COVIDVax- View: Weekly COVID-19 Vaccination Coverage and Intent among Adults. Accessed June 10, 2025. https://www.cdc.gov/covidvaxview/weekly-dashboard/adult-vaccination-coverage.html
- World Health Organization. Strategy to achieve global Covid-19 vaccination by mid-2022. 2021. Accessed April 30, 2025. https://cdn.who.int/media/docs/default-source/immunization/covid-19/strategy-to-achieve-global-covid-19-vaccination-by-mid-2022.pdf
- Jasuja GK, Meterko M, Bradshaw LD, et al. Attitudes and intentions of US veterans regarding COVID-19 vaccination. JAMA Netw Open. 2021;4(11):e2132548. doi:10.1001/jamanetworkopen.2021.32548
- Der-Martirosian C, Steers WN, Northcraft H, Chu K, Dobalian A. Vaccinating veterans for COVID-19 at the U.S. Department of Veterans Affairs. Am J Prev Med. 2022;62(6):e317-e324. doi:10.1016/j.amepre.2021.12.016
- Bloeser K, Lipkowitz-Eaton J. Disproportionate multimorbidity among veterans in middle age. J Public Health (Oxf). 2022;44(1):28-35. doi:10.1093/pubmed/fdab149
- US Department of Veterans Affairs. National Center for Veterans Analysis and Statistics: veteran population. Updated March 26, 2025. Accessed April 30, 2025. https://www.va.gov/vetdata/Veteran_Population.asp
- Olenick M, Flowers M, Diaz VJ. US veterans and their unique issues: enhancing health care professional awareness. Adv Med Educ Pract. 2015;6:635-639. doi:10.2147/AMEP.S89479
- Orkaby AR, Nussbaum L, Ho YL, et al. The burden of frailty among U.S. veterans and its association with mortality, 2002-2012. J Gerontol A Biol Sci Med Sci. 2019;74(8):1257-1264. doi:10.1093/gerona/gly232
- Bass SB, Kelly PJ, Hoadley A, Arroyo Lloret A, Organtini T. Mapping perceptual differences to understand COVID-19 beliefs in those with vaccine hesitancy. J Health Commun. 2022;27(1):49-61. doi:10.1080/10810730.2022.2042627
- Meng L, Masters NB, Lu PJ, et al. Cluster analysis of adults unvaccinated for COVID-19 based on behavioral and social factors, National Immunization Survey-Adult COVID Module, United States. Prev Med. 2023;167:107415. doi:10.1016/j.ypmed.2022.107415
- Gin JL, Balut MD, Dobalian A. COVID-19 vaccination uptake and receptivity among veterans enrolled in homelessness- tailored primary health care clinics: provider trust vs. misinformation. BMC Prim Care. 2024;25(1):24. doi:10.1186/s12875-023-02251-x
- Wilson GM, Ray CE, Kale IO, et al. Age and beliefs about vaccines associated with COVID-19 vaccination among US veterans. Antimicrob Steward Healthc Epidemiol. 2023;3(1):e184. doi:10.1017/ash.2023.446
- VA Pittsburgh Healthcare System (VAPHS). Human Research Protection Program (HRPP) policy for quality assurance/ quality improvement projects. Policy H-013. December 31, 2021. Accessed April 30, 2025. https://www.va.gov/files/2020-11/H-013_QAQI%20Project_revised_updated%20format_clean_508.pdf
- Burkitt KH, Rodriguez KL, Mor MK, et al. Evaluation of a collaborative VA network initiative to reduce racial disparities in blood pressure control among veterans with severe hypertension. Healthc (Amst). 2021;8(suppl 1):100485. doi:10.1016/j.hjdsi.2020.100485
- Sinkowitz-Cochran RL, Burkitt KH, Cuerdon T, et al. The associations between organizational culture and knowledge, attitudes, and practices in a multicenter Veterans Affairs quality improvement initiative to prevent methicillin-resistant Staphylococcus aureus. Am J Infect Control. 2012;40(2):138-143. doi:10.1016/j.ajic.2011.04.332
- Burkitt KH, Sinkowitz-Cochran RL, Obrosky DS, et al. Survey of employee knowledge and attitudes before and after a multicenter Veterans’ Administration quality improvement initiative to reduce nosocomial methicillin-resistant Staphylococcus aureus infections. Am J Infect Control. 2010;38(4):274-282. doi:10.1016/j.ajic.2009.08.019
- STROBE - strengthening the reporting of observational studies in epidemiology. What is STROBE? Accessed April 30, 2025. https://www.strobe-statement.org/
- Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349-357. doi:10.1093/intqhc/mzm042
- Ward RE, Nguyen XT, Li Y, et al; on behalf of the VA Million Veteran Program. Racial and ethnic disparities in U.S. veteran health characteristics. Int J Environ Res Public Health. 2021;18(5):2411. doi:10.3390/ijerph18052411
- Harrington KM, Nguyen XT, Song RJ, et al; VA Million Veteran Program. Gender differences in demographic and health characteristics of the Million Veteran Program cohort. Womens Health Issues. 2019;29(suppl 1):S56-S66. doi:10.1016/j.whi.2019.04.012
- Washington DL, ed. National Veteran Health Equity Report 2021. Focus on Veterans Health Administration Patient Experience and Health Care Quality. VHA Office of Health Equity; September 2022. Accessed April 30, 2025. https://www.va.gov/healthequity/nvher.asp
- World Health Organization. Data for action: achieving high uptake of COVID-19 vaccines. April 1, 2021. Accessed April 30, 2025. https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccination-demand-planning-2021.1
- Hoffman BL, Boness CL, Chu KH, et al. COVID- 19 vaccine hesitancy, acceptance, and promotion among healthcare workers: a mixed-methods analysis. J Community Health. 2022;47(5):750-758. doi:10.1007/s10900-022-01095-3
- Vasudevan L, Bruening R, Hung A, et al. COVID- 19 vaccination intention and activation among health care system employees: a mixed methods study. Vaccine. 2022;40(35):5141-5152. doi:10.1016/j.vaccine.2022.07.010
- Tibshirani R, Walther G, Hastie T. Estimating the number of clusters in a data set via the gap statistic. J R Stat Soc Series B Stat Methodol. 2001;63(2):411-423. doi:10.1111/1467-9868.00293
- Pedregosa FP, Varoquaux G, Gramfort A, et al. Scikitlearn: machine learning in Python. J Mach Learn Res. 2011;12:2825-2830.
- Proudfoot K. Inductive/deductive hybrid thematic analysis in mixed methods research. J Mix Methods Res. 2022;17(3): 308-326. doi:10.1177/15586898221126816
- Chapman AL, Hadfield M, Chapman CJ. Qualitative research in healthcare: an introduction to grounded theory using thematic analysis. J R Coll Physicians Edinb. 2015;45(3):201-205. doi:10.4997/jrcpe.2015.305
- Grandheim UH, Lundman B. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Educ Today. 2004;24(2):105-112. doi:10.1016/j.nedt.2003.1001
- Sandelowski M. Whatever happened to qualitative description? Res Nurs Health. 2000;23(4):334-340. doi:10.1002/1098-240x(200008)23:4<334::aid-nur9 >3.0.co;2-g
- Garrison DR, Cleveland-Innes M, Koole M, Kappelman J. Revisiting methodological issues in transcript analysis: negotiated coding and reliability. Internet High Educ. 2006;9(1):1-8. doi:10.1016/j.iheduc.2005.11.001
- Wagner AL, Porth JM, Wu Z, Boulton ML, Finlay JM, Kobayashi LC. Vaccine hesitancy during the COVID-19 pandemic: a latent class analysis of middle-aged and older US adults. J Community Health. 2022;47(3):408- 415. doi:10.1007/s10900-022-01064-w
- Syed U, Kapera O, Chandrasekhar A, et al. The role of faith-based organizations in improving vaccination confidence & addressing vaccination disparities to help improve vaccine uptake: a systematic review. Vaccines (Basel). 2023;11(2):449. doi:10.3390/vaccines11020449
- Evans D, Norrbom C, Schmidt S, Powell R, McReynolds J, Sidibe T. Engaging community-based organizations to address barriers in public health programs: lessons learned from COVID-19 vaccine acceptance programs in diverse rural communities. Health Secur. 2023;21(S1):S17-S24. doi:10.1089/hs.2023.0017
Insights Into Veterans’ Motivations and Hesitancies for COVID-19 Vaccine Uptake: A Mixed-Methods Analysis
Insights Into Veterans’ Motivations and Hesitancies for COVID-19 Vaccine Uptake: A Mixed-Methods Analysis


Military Imposters: What Drives Them and How They Damage Us All
Military Imposters: What Drives Them and How They Damage Us All
The better part of valor is discretion.
Henry IV, Part 1 by William Shakespeare1
This is the second part of an exploration of the phenomenon of stolen valor, where individuals claim military exploits or acts of heroism that are either fabricated or exaggerated, and/or awards and medals they did not earn.2 In June, I focused on the unsettling story of Sarah Cavanaugh, a young US Department of Veterans Affairs (VA) social worker who posed as a decorated, heroic, and seriously wounded Marine veteran for years. Cavanaugh’s manipulative masquerade allowed her to receive coveted spots in veteran recovery programs, thousands of dollars in fraudulent donations, the leadership of a local Veterans of Foreign Wars post, and eventually a federal conviction and prison sentence.3 The first column focused on the legal history of stolen valor; this editorial analyzes the clinical import and ethical impact of the behavior of military imposters. Military imposters are the culprits who steal valor.
It would be easy and perhaps reassuring to assume that stolen valor has emerged as another deplorable example of a national culture in which the betrayal of trust in human beings and loss of faith in institutions and aspirations has reached a nadir. Ironically, stolen valor is inextricably linked to the founding of the United States. When General George Washington inaugurated the American military tradition of awarding decorations to honor the bravery and sacrifices of the patriot Army, he anticipated military imposters. He tried to deter stolen valor through the threat of chastisement: “Should any who are not entitled to these honors have the insolence to assume the badges of them, they shall be severely punished,” Washington warned.4
It is plausible to think such despicable conduct occurs only as the ugly side of the beauty of our unparalleled national freedom, but this is a mistake. Cases of stolen valor have been reported in many countries around the world, with some of the most infamous found in the United Kingdom.5
While many brazen military imposters like Cavanaugh never serve, there is a small subset who honorably wore a uniform yet embellish their service record with secret missions and meritorious gallantry that purportedly earned them high rank and even higher awards. A most puzzling and disturbing example of this group is an allegation that surfaced when celebrated Navy SEAL Chris Kyle declared in American Sniper that he had won 3 additional combat awards for combat valor in addition to the Silver Star and 3 Bronze Stars actually listed in his service record.6
The fact that for centuries stolen valor has plagued multiple nations suggests, at least to this psychiatrically trained mind, that something deeper and darker in human nature than profit alone drives military imposters. Philosopher Verna Gehring has distilled these less tangible motivations into the concept of virtue imposters. According to Gehring, military phonies are a notorious exemplar: “The military phony adopts a past not her own, acts of courage she did not perform—she impersonates the heroic character and virtues she does not possess.”7 There could be no more apposite depiction of Cavanaugh, other military imposters, or a legion of other offenders of honor. 8
As with Cavanaugh, financial gain is a byproduct of the machinations of military imposters and is usually secondary to the pursuit of nonmaterial rewards such as power, influence, admiration, emulation, empathy, and charity. Gehring contends, and I agree, that virtue imposters are more pernicious and culpable than the plethora of more prosaic scammers and swindlers who use deceit primarily as a means of economic exploitation: “The virtue impostor by contrast plays on people’s better natures—their generosity, humility, and their need for heroes.”7
Military imposters cause real and lasting harm. Every veteran who exaggerates claims or scams the VA unjustly steals human and monetary resources from other deserving veterans whose integrity would not permit them to break the rules.9 Yet, even more harmful is the potential damage to therapeutic relationships: federal practitioners may become skeptical of a veteran’s history even when there is little to no grounds for suspicion. Veterans, in turn, may experience a breach of trust and betrayal not only from health care professionals and VA leaders but from their brothers and sisters in arms. On an ever-wider scale, every military impostor who is exposed may diminish the respect and honor all veterans have earned.
It is clear, then, why a small group of former service members has adopted the cause of uncovering military imposters and adroitly using the media to identify signs of stolen valor.10 Yet deception mars even these mostly well-intentioned campaigns, as some more zealous stolen valor hunters may make allegations that turn out to be false.11 Nevertheless, 500 years ago and in a very different context Shakespeare was, right on the mark: the better part of valor is discretion in describing one’s achievements, in relying on the veracity of our veteran’s narratives, and when there are sound reasons to do so verifying the truth of what our patients, friends, and even family tell us about their time in the military.1
- Shakespeare W. Introduction in: Henry IV, Part 1. Folger Sharespeare Library. Accessed July 24, 2025. https://www.folger.edu/explore/shakespeares-works/henry-iv-part-1/
- Geppert CM. What about stolen valor actually is illegal? Fed Pract. 2025;42(6):218-219. doi:10.12788/fp.0599
- Lehrfeld J. Woman who faked being cancer-stricken Marine gets 6 years in prison. Military Times. March 15, 2023. Accessed July 24, 2025. https://www.militarytimes.com/news/your-military/2023/03/15/woman-who-faked-being-sick-marine-purple-heart-gets-6-years-in-prison/
- Washington G. General Orders, 7 August 1782 in: Papers of George Washington. Founders Online. August 7, 1782. Accessed July 24, 2025. https://founders.archives.gov/documents/Washington/99-01-02-09056 5. Simpson LK. The men who impersonate military personnel for stolen glory. The Conversation. Updated November 17, 2016. Accessed July 24, 2025. https://theconversation.com/the-men-who-impersonate-military-personnel-for-stolen-glory-62233
- Larter DB. New questions cast doubt on ‘American Sniper‘ Chris Kyle‘s combat record. Navy Times. May 25, 2016. Accessed July 24, 2025. https://www.navytimes.com/news/your-navy/2016/05/25/new-questions-cast-doubt-on-american-sniper-chris-kyle-s-combat-record
- Gehring VV. Phonies, fakes, and frauds—and the social harms they cause. Philos Public Policy Q. 2003;23:14-20.
- Liem, E. The 6 most shocking military imposters ever. Military.com. July 7, 2015. Accessed July 29, 2025. https://www.military.com/undertheradar/2015/07/the-6-most-shocking-military-impostors-ever 9. Sisk R. Some vets with PTSD are scamming the VA: testimony. Military.com. June 8, 2017. Accessed July 24, 2025. https://www.military.com/daily-news/2017/06/08/some-vets-with-ptsd-are-scamming-va-testimony.html
- Bushatz A. How to spot a veteran. Military.com. October 3, 2022. Updated September 16, 2024. Accessed July 24, 2025. https://www.military.com/veterans-day/how-spot-veteran.html
- Monroe R. How to spot a military imposter. The New Yorker. October 19, 2020. Accessed July 24, 2025. https://www.newyorker.com/magazine/2020/10/26/how-to-spot-a-military-impostor
The better part of valor is discretion.
Henry IV, Part 1 by William Shakespeare1
This is the second part of an exploration of the phenomenon of stolen valor, where individuals claim military exploits or acts of heroism that are either fabricated or exaggerated, and/or awards and medals they did not earn.2 In June, I focused on the unsettling story of Sarah Cavanaugh, a young US Department of Veterans Affairs (VA) social worker who posed as a decorated, heroic, and seriously wounded Marine veteran for years. Cavanaugh’s manipulative masquerade allowed her to receive coveted spots in veteran recovery programs, thousands of dollars in fraudulent donations, the leadership of a local Veterans of Foreign Wars post, and eventually a federal conviction and prison sentence.3 The first column focused on the legal history of stolen valor; this editorial analyzes the clinical import and ethical impact of the behavior of military imposters. Military imposters are the culprits who steal valor.
It would be easy and perhaps reassuring to assume that stolen valor has emerged as another deplorable example of a national culture in which the betrayal of trust in human beings and loss of faith in institutions and aspirations has reached a nadir. Ironically, stolen valor is inextricably linked to the founding of the United States. When General George Washington inaugurated the American military tradition of awarding decorations to honor the bravery and sacrifices of the patriot Army, he anticipated military imposters. He tried to deter stolen valor through the threat of chastisement: “Should any who are not entitled to these honors have the insolence to assume the badges of them, they shall be severely punished,” Washington warned.4
It is plausible to think such despicable conduct occurs only as the ugly side of the beauty of our unparalleled national freedom, but this is a mistake. Cases of stolen valor have been reported in many countries around the world, with some of the most infamous found in the United Kingdom.5
While many brazen military imposters like Cavanaugh never serve, there is a small subset who honorably wore a uniform yet embellish their service record with secret missions and meritorious gallantry that purportedly earned them high rank and even higher awards. A most puzzling and disturbing example of this group is an allegation that surfaced when celebrated Navy SEAL Chris Kyle declared in American Sniper that he had won 3 additional combat awards for combat valor in addition to the Silver Star and 3 Bronze Stars actually listed in his service record.6
The fact that for centuries stolen valor has plagued multiple nations suggests, at least to this psychiatrically trained mind, that something deeper and darker in human nature than profit alone drives military imposters. Philosopher Verna Gehring has distilled these less tangible motivations into the concept of virtue imposters. According to Gehring, military phonies are a notorious exemplar: “The military phony adopts a past not her own, acts of courage she did not perform—she impersonates the heroic character and virtues she does not possess.”7 There could be no more apposite depiction of Cavanaugh, other military imposters, or a legion of other offenders of honor. 8
As with Cavanaugh, financial gain is a byproduct of the machinations of military imposters and is usually secondary to the pursuit of nonmaterial rewards such as power, influence, admiration, emulation, empathy, and charity. Gehring contends, and I agree, that virtue imposters are more pernicious and culpable than the plethora of more prosaic scammers and swindlers who use deceit primarily as a means of economic exploitation: “The virtue impostor by contrast plays on people’s better natures—their generosity, humility, and their need for heroes.”7
Military imposters cause real and lasting harm. Every veteran who exaggerates claims or scams the VA unjustly steals human and monetary resources from other deserving veterans whose integrity would not permit them to break the rules.9 Yet, even more harmful is the potential damage to therapeutic relationships: federal practitioners may become skeptical of a veteran’s history even when there is little to no grounds for suspicion. Veterans, in turn, may experience a breach of trust and betrayal not only from health care professionals and VA leaders but from their brothers and sisters in arms. On an ever-wider scale, every military impostor who is exposed may diminish the respect and honor all veterans have earned.
It is clear, then, why a small group of former service members has adopted the cause of uncovering military imposters and adroitly using the media to identify signs of stolen valor.10 Yet deception mars even these mostly well-intentioned campaigns, as some more zealous stolen valor hunters may make allegations that turn out to be false.11 Nevertheless, 500 years ago and in a very different context Shakespeare was, right on the mark: the better part of valor is discretion in describing one’s achievements, in relying on the veracity of our veteran’s narratives, and when there are sound reasons to do so verifying the truth of what our patients, friends, and even family tell us about their time in the military.1
The better part of valor is discretion.
Henry IV, Part 1 by William Shakespeare1
This is the second part of an exploration of the phenomenon of stolen valor, where individuals claim military exploits or acts of heroism that are either fabricated or exaggerated, and/or awards and medals they did not earn.2 In June, I focused on the unsettling story of Sarah Cavanaugh, a young US Department of Veterans Affairs (VA) social worker who posed as a decorated, heroic, and seriously wounded Marine veteran for years. Cavanaugh’s manipulative masquerade allowed her to receive coveted spots in veteran recovery programs, thousands of dollars in fraudulent donations, the leadership of a local Veterans of Foreign Wars post, and eventually a federal conviction and prison sentence.3 The first column focused on the legal history of stolen valor; this editorial analyzes the clinical import and ethical impact of the behavior of military imposters. Military imposters are the culprits who steal valor.
It would be easy and perhaps reassuring to assume that stolen valor has emerged as another deplorable example of a national culture in which the betrayal of trust in human beings and loss of faith in institutions and aspirations has reached a nadir. Ironically, stolen valor is inextricably linked to the founding of the United States. When General George Washington inaugurated the American military tradition of awarding decorations to honor the bravery and sacrifices of the patriot Army, he anticipated military imposters. He tried to deter stolen valor through the threat of chastisement: “Should any who are not entitled to these honors have the insolence to assume the badges of them, they shall be severely punished,” Washington warned.4
It is plausible to think such despicable conduct occurs only as the ugly side of the beauty of our unparalleled national freedom, but this is a mistake. Cases of stolen valor have been reported in many countries around the world, with some of the most infamous found in the United Kingdom.5
While many brazen military imposters like Cavanaugh never serve, there is a small subset who honorably wore a uniform yet embellish their service record with secret missions and meritorious gallantry that purportedly earned them high rank and even higher awards. A most puzzling and disturbing example of this group is an allegation that surfaced when celebrated Navy SEAL Chris Kyle declared in American Sniper that he had won 3 additional combat awards for combat valor in addition to the Silver Star and 3 Bronze Stars actually listed in his service record.6
The fact that for centuries stolen valor has plagued multiple nations suggests, at least to this psychiatrically trained mind, that something deeper and darker in human nature than profit alone drives military imposters. Philosopher Verna Gehring has distilled these less tangible motivations into the concept of virtue imposters. According to Gehring, military phonies are a notorious exemplar: “The military phony adopts a past not her own, acts of courage she did not perform—she impersonates the heroic character and virtues she does not possess.”7 There could be no more apposite depiction of Cavanaugh, other military imposters, or a legion of other offenders of honor. 8
As with Cavanaugh, financial gain is a byproduct of the machinations of military imposters and is usually secondary to the pursuit of nonmaterial rewards such as power, influence, admiration, emulation, empathy, and charity. Gehring contends, and I agree, that virtue imposters are more pernicious and culpable than the plethora of more prosaic scammers and swindlers who use deceit primarily as a means of economic exploitation: “The virtue impostor by contrast plays on people’s better natures—their generosity, humility, and their need for heroes.”7
Military imposters cause real and lasting harm. Every veteran who exaggerates claims or scams the VA unjustly steals human and monetary resources from other deserving veterans whose integrity would not permit them to break the rules.9 Yet, even more harmful is the potential damage to therapeutic relationships: federal practitioners may become skeptical of a veteran’s history even when there is little to no grounds for suspicion. Veterans, in turn, may experience a breach of trust and betrayal not only from health care professionals and VA leaders but from their brothers and sisters in arms. On an ever-wider scale, every military impostor who is exposed may diminish the respect and honor all veterans have earned.
It is clear, then, why a small group of former service members has adopted the cause of uncovering military imposters and adroitly using the media to identify signs of stolen valor.10 Yet deception mars even these mostly well-intentioned campaigns, as some more zealous stolen valor hunters may make allegations that turn out to be false.11 Nevertheless, 500 years ago and in a very different context Shakespeare was, right on the mark: the better part of valor is discretion in describing one’s achievements, in relying on the veracity of our veteran’s narratives, and when there are sound reasons to do so verifying the truth of what our patients, friends, and even family tell us about their time in the military.1
- Shakespeare W. Introduction in: Henry IV, Part 1. Folger Sharespeare Library. Accessed July 24, 2025. https://www.folger.edu/explore/shakespeares-works/henry-iv-part-1/
- Geppert CM. What about stolen valor actually is illegal? Fed Pract. 2025;42(6):218-219. doi:10.12788/fp.0599
- Lehrfeld J. Woman who faked being cancer-stricken Marine gets 6 years in prison. Military Times. March 15, 2023. Accessed July 24, 2025. https://www.militarytimes.com/news/your-military/2023/03/15/woman-who-faked-being-sick-marine-purple-heart-gets-6-years-in-prison/
- Washington G. General Orders, 7 August 1782 in: Papers of George Washington. Founders Online. August 7, 1782. Accessed July 24, 2025. https://founders.archives.gov/documents/Washington/99-01-02-09056 5. Simpson LK. The men who impersonate military personnel for stolen glory. The Conversation. Updated November 17, 2016. Accessed July 24, 2025. https://theconversation.com/the-men-who-impersonate-military-personnel-for-stolen-glory-62233
- Larter DB. New questions cast doubt on ‘American Sniper‘ Chris Kyle‘s combat record. Navy Times. May 25, 2016. Accessed July 24, 2025. https://www.navytimes.com/news/your-navy/2016/05/25/new-questions-cast-doubt-on-american-sniper-chris-kyle-s-combat-record
- Gehring VV. Phonies, fakes, and frauds—and the social harms they cause. Philos Public Policy Q. 2003;23:14-20.
- Liem, E. The 6 most shocking military imposters ever. Military.com. July 7, 2015. Accessed July 29, 2025. https://www.military.com/undertheradar/2015/07/the-6-most-shocking-military-impostors-ever 9. Sisk R. Some vets with PTSD are scamming the VA: testimony. Military.com. June 8, 2017. Accessed July 24, 2025. https://www.military.com/daily-news/2017/06/08/some-vets-with-ptsd-are-scamming-va-testimony.html
- Bushatz A. How to spot a veteran. Military.com. October 3, 2022. Updated September 16, 2024. Accessed July 24, 2025. https://www.military.com/veterans-day/how-spot-veteran.html
- Monroe R. How to spot a military imposter. The New Yorker. October 19, 2020. Accessed July 24, 2025. https://www.newyorker.com/magazine/2020/10/26/how-to-spot-a-military-impostor
- Shakespeare W. Introduction in: Henry IV, Part 1. Folger Sharespeare Library. Accessed July 24, 2025. https://www.folger.edu/explore/shakespeares-works/henry-iv-part-1/
- Geppert CM. What about stolen valor actually is illegal? Fed Pract. 2025;42(6):218-219. doi:10.12788/fp.0599
- Lehrfeld J. Woman who faked being cancer-stricken Marine gets 6 years in prison. Military Times. March 15, 2023. Accessed July 24, 2025. https://www.militarytimes.com/news/your-military/2023/03/15/woman-who-faked-being-sick-marine-purple-heart-gets-6-years-in-prison/
- Washington G. General Orders, 7 August 1782 in: Papers of George Washington. Founders Online. August 7, 1782. Accessed July 24, 2025. https://founders.archives.gov/documents/Washington/99-01-02-09056 5. Simpson LK. The men who impersonate military personnel for stolen glory. The Conversation. Updated November 17, 2016. Accessed July 24, 2025. https://theconversation.com/the-men-who-impersonate-military-personnel-for-stolen-glory-62233
- Larter DB. New questions cast doubt on ‘American Sniper‘ Chris Kyle‘s combat record. Navy Times. May 25, 2016. Accessed July 24, 2025. https://www.navytimes.com/news/your-navy/2016/05/25/new-questions-cast-doubt-on-american-sniper-chris-kyle-s-combat-record
- Gehring VV. Phonies, fakes, and frauds—and the social harms they cause. Philos Public Policy Q. 2003;23:14-20.
- Liem, E. The 6 most shocking military imposters ever. Military.com. July 7, 2015. Accessed July 29, 2025. https://www.military.com/undertheradar/2015/07/the-6-most-shocking-military-impostors-ever 9. Sisk R. Some vets with PTSD are scamming the VA: testimony. Military.com. June 8, 2017. Accessed July 24, 2025. https://www.military.com/daily-news/2017/06/08/some-vets-with-ptsd-are-scamming-va-testimony.html
- Bushatz A. How to spot a veteran. Military.com. October 3, 2022. Updated September 16, 2024. Accessed July 24, 2025. https://www.military.com/veterans-day/how-spot-veteran.html
- Monroe R. How to spot a military imposter. The New Yorker. October 19, 2020. Accessed July 24, 2025. https://www.newyorker.com/magazine/2020/10/26/how-to-spot-a-military-impostor
Military Imposters: What Drives Them and How They Damage Us All
Military Imposters: What Drives Them and How They Damage Us All
Exophytic Papule on the Chin of a Child
Exophytic Papule on the Chin of a Child
THE DIAGNOSIS: Rhabdomyomatous Mesenchymal Hamartoma
Histopathologic examination of the excised tissue revealed haphazardly arranged bundles of mature striated muscle within the dermis and subcutaneous tissue admixed with adipose tissue, adnexal structures, blood vessels, and nerves. The presence of the lesion since birth, midline clinical presentation, and histologic findings were consistent with a diagnosis of rhabdomyomatous mesenchymal hamartoma (RMH).
Also referred to as striated muscle hamartoma, RMH is a rare benign lesion thought to have embryonic origin due to its midline presentation.1 The etiology of RMH is unknown but is hypothesized to be due to abnormal migration or growth of embryonic mesenchymal tissue. Rhabdomyomatous mesenchymal hamartoma typically manifests in infancy or early childhood as a solitary midline papule on the head or neck, although there have been rare reports of development in adulthood.2-4 Lesions often are polypoid or exophytic but may manifest as smooth papules or subcutaneous nodules.2 Although benign, RMH may be associated with other congenital abnormalities and conditions, such as Delleman syndrome, which is caused by a sporadic genetic abnormality and results in defects of the eye, central nervous system, and skin.5 Treatment for RMH is not needed, but surgical excision for cosmetic purposes can be performed with low risk for recurrence. Histologically, RMH demonstrates a normal epidermis overlying disorganized bundles of skeletal muscle accompanied by varying amounts of other mature dermal and subcutaneous tissues including nerves, blood vessels, adipose tissue, and other adnexal structures.2,6 Myoglobin and desmin are positive within the skeletal muscle bundles.7
Fibrous hamartoma of infancy (FHI) often manifests as a movable, ill-defined nodule within the subcutaneous tissue. While also occurring in young children—typically within the first 2 years of life—FHI primarily is found on the upper arms, back, and axillae, in contrast to FHI.8 The classic histopathologic presentation of FHI consists of a triphasic morphology consisting of undifferentiated mesenchymal cells and dense fibroblastic/myofibroblastic tissue with mature adipose tissue woven throughout in islands (Figure 1).9 Skeletal muscle is not a component of this tumor.

Neurofibromas also may manifest clinically as papules or nodules and arise from the peripheral nerve sheath. There are 3 major subtypes of neurofibromas—localized, diffuse, and plexiform—with the last being strongly associated with neurofibromatosis type 1.10 The plexiform type has a rare risk for malignant transformation. The typical histopathologic finding of a localized cutaneous neurofibroma is a dermal proliferation of spindle cells with wavy nuclei within a variably myxoid stroma (Figure 2).11 Interspersed mast cells also can be seen. A plexiform neurofibroma typically involves multiple nerve fascicles and comprises multinodular or tortuous bundles of cytologically bland spindle cells. Compared to RMH, skeletal muscle is not a component of this tumor.

Nevus lipomatosus superficialis is a benign hamartoma that can manifest as a pedunculated or exophytic papule. The lesions may be solitary or multiple and, unlike RMH, are most common on the buttocks, upper thighs, and trunk.12 The histopathologic features of nevus lipomatosus superficialis include clusters of mature adipose tissue in the superficial dermis admixed with collagen fibers and variably increased vasculature (Figure 3).13 Nevus lipomatosus superficialis does not contain skeletal muscle within the tumor in comparison to RMH.

It is important to distinguish rhabdomyosarcoma (RMS) from RMH, as it is associated with increased mortality and morbidity. Rhabdomyosarcoma is the most common soft-tissue sarcoma in children and is derived from mesenchyme with variable degrees of skeletal muscle differentiation.14 Due to its mesenchymal origin, these tumors can manifest in a variety of places but most commonly on the head and neck and in the genital region.15 The most common subtype is embryonal rhabdomyosarcoma. Histologically, embryonal RMS shows a moderately cellular tumor composed of sheets of spindle-shaped or round cells with scant or eosinophilic cytoplasm (Figure 4). The absence of genetic translocation in the paired box-forkhead box protein 01 (PAX-FOXO1) gene helps distinguish it from solid alveolar RMS, the second most common and more aggressive subtype.12 Positive immunohistochemical staining for desmin, myoblast determination protein 1 (MyoD1), and myogenin supports myogenic differentiation.14

- Bernal-Mañas CM, Isaac-Montero MA, Vargas-Uribe MC, et al. Hamartoma mesenquimal rabdomiomatoso [rhabdomyomatous mesenchymal hamartoma]. An Pediatr (Barc). 2013;78:260-262. doi:10.1016/j.anpedi.2012.08.005
- Al Amri R, De Stefano DV, Wang Q, et al. Morphologic spectrum of rhabdomyomatous mesenchymal hamartomas (striated muscle hamartomas) in pediatric dermatopathology. Am J Dermatopathol. 2022;44:170-173. doi:10.1097/DAD.0000000000002062
- Carboni A, Fomin D. A rare adult presentation of a congenital tumor discovered incidentally after trauma. JAAD Case Rep. 2022;31:121-123. doi:10.1016/j.jdcr.2022.10.024
- Chang CP, Chen GS. Rhabdomyomatous mesenchymal hamartoma: a plaque-type variant in an adult. Kaohsiung J Med Sci. 2005; 21(4):185-188. doi:10.1016/S1607-551X(09)70299-2
- Bahmani M, Naseri R, Iraniparast A, et al. Oculocerebrocutaneous syndrome (Delleman syndrome): a case with a novel presentation of orbital involvement. Case Rep Pediatr. 2021;2021:5524131. doi:10.1155/2021/5524131
- Kim H, Chung JH, Sung HM, et al. Rhabdomyomatous mesenchymal hamartoma presenting as a midline mass on a chin. Arch Craniofac Surg. 2017;18:292-295. doi:10.7181/acfs.2017.18.4.292.
- Lin CP, Nguyen JM, Aboutalebi S, et al. Incidental rhabdomyomatous mesenchymal hamartoma. Proc (Bayl Univ Med Cent). 2020;34:161-162. doi:10.1080/08998280.2020.1801087
- Ji Y, Hu P, Zhang C, et al. Fibrous hamartoma of infancy: radiologic features and literature review. BMC Musculoskelet Disord. 2019;20:356. doi:10.1186/s12891-019-2743-5
- Yu G, Wang Y, Wang G, et al. Fibrous hamartoma of infancy: a clinical pathological analysis of seventeen cases. Int J Clin Exp Pathol. 2015;8:3374-3377.
- Ferner RE, O’Doherty MJ. Neurofibroma and schwannoma. Curr Opin Neurol. 2002;15:679-684. doi:10.1097/01.wco.0000044763.39452.aa
- Miettinen MM, Antonescu CR, Fletcher CDM, et al. Histopathologic evaluation of atypical neurofibromatous tumors and their transformation into malignant peripheral nerve sheath tumor in patients with neurofibromatosis 1-a consensus overview. Hum Pathol. 2017;67:1-10. doi:10.1016/j.humpath.2017.05.010
- Kim RH, Stevenson ML, Hale CS, et al. Nevus lipomatosus superficialis. Dermatol Online J. 2014;20:13030/qt2cb3c5t3.
- Singh P, Anandani GM. Nevus lipomatosus superficialis, an unusual case report. J Family Med Prim Care. 2022;11:4045-4047. doi:10.4103/jfmpc.jfmpc_2352_21
- Shern JF, Yohe ME, Khan J. Pediatric rhabdomyosarcoma. Crit Rev Oncog. 2015;20:227-243. doi:10.1615/critrevoncog.2015013800
- Rogers TN, Dasgupta R. Management of rhabdomyosarcoma in pediatric patients. Surg Oncol Clin N Am. 2021;30:339-353. doi:10.1016/j.soc.2020.11.003
- Machado I, Mayordomo-Aranda E, Giner F, et al. The role of immunohistochemistry in rhabdomyosarcoma diagnosis using tissue microarray technology and a xenograft model. Fetal Pediatr Pathol. 2015;34:271-281. doi:10.3109/15513815.2015.1042604
THE DIAGNOSIS: Rhabdomyomatous Mesenchymal Hamartoma
Histopathologic examination of the excised tissue revealed haphazardly arranged bundles of mature striated muscle within the dermis and subcutaneous tissue admixed with adipose tissue, adnexal structures, blood vessels, and nerves. The presence of the lesion since birth, midline clinical presentation, and histologic findings were consistent with a diagnosis of rhabdomyomatous mesenchymal hamartoma (RMH).
Also referred to as striated muscle hamartoma, RMH is a rare benign lesion thought to have embryonic origin due to its midline presentation.1 The etiology of RMH is unknown but is hypothesized to be due to abnormal migration or growth of embryonic mesenchymal tissue. Rhabdomyomatous mesenchymal hamartoma typically manifests in infancy or early childhood as a solitary midline papule on the head or neck, although there have been rare reports of development in adulthood.2-4 Lesions often are polypoid or exophytic but may manifest as smooth papules or subcutaneous nodules.2 Although benign, RMH may be associated with other congenital abnormalities and conditions, such as Delleman syndrome, which is caused by a sporadic genetic abnormality and results in defects of the eye, central nervous system, and skin.5 Treatment for RMH is not needed, but surgical excision for cosmetic purposes can be performed with low risk for recurrence. Histologically, RMH demonstrates a normal epidermis overlying disorganized bundles of skeletal muscle accompanied by varying amounts of other mature dermal and subcutaneous tissues including nerves, blood vessels, adipose tissue, and other adnexal structures.2,6 Myoglobin and desmin are positive within the skeletal muscle bundles.7
Fibrous hamartoma of infancy (FHI) often manifests as a movable, ill-defined nodule within the subcutaneous tissue. While also occurring in young children—typically within the first 2 years of life—FHI primarily is found on the upper arms, back, and axillae, in contrast to FHI.8 The classic histopathologic presentation of FHI consists of a triphasic morphology consisting of undifferentiated mesenchymal cells and dense fibroblastic/myofibroblastic tissue with mature adipose tissue woven throughout in islands (Figure 1).9 Skeletal muscle is not a component of this tumor.

Neurofibromas also may manifest clinically as papules or nodules and arise from the peripheral nerve sheath. There are 3 major subtypes of neurofibromas—localized, diffuse, and plexiform—with the last being strongly associated with neurofibromatosis type 1.10 The plexiform type has a rare risk for malignant transformation. The typical histopathologic finding of a localized cutaneous neurofibroma is a dermal proliferation of spindle cells with wavy nuclei within a variably myxoid stroma (Figure 2).11 Interspersed mast cells also can be seen. A plexiform neurofibroma typically involves multiple nerve fascicles and comprises multinodular or tortuous bundles of cytologically bland spindle cells. Compared to RMH, skeletal muscle is not a component of this tumor.

Nevus lipomatosus superficialis is a benign hamartoma that can manifest as a pedunculated or exophytic papule. The lesions may be solitary or multiple and, unlike RMH, are most common on the buttocks, upper thighs, and trunk.12 The histopathologic features of nevus lipomatosus superficialis include clusters of mature adipose tissue in the superficial dermis admixed with collagen fibers and variably increased vasculature (Figure 3).13 Nevus lipomatosus superficialis does not contain skeletal muscle within the tumor in comparison to RMH.

It is important to distinguish rhabdomyosarcoma (RMS) from RMH, as it is associated with increased mortality and morbidity. Rhabdomyosarcoma is the most common soft-tissue sarcoma in children and is derived from mesenchyme with variable degrees of skeletal muscle differentiation.14 Due to its mesenchymal origin, these tumors can manifest in a variety of places but most commonly on the head and neck and in the genital region.15 The most common subtype is embryonal rhabdomyosarcoma. Histologically, embryonal RMS shows a moderately cellular tumor composed of sheets of spindle-shaped or round cells with scant or eosinophilic cytoplasm (Figure 4). The absence of genetic translocation in the paired box-forkhead box protein 01 (PAX-FOXO1) gene helps distinguish it from solid alveolar RMS, the second most common and more aggressive subtype.12 Positive immunohistochemical staining for desmin, myoblast determination protein 1 (MyoD1), and myogenin supports myogenic differentiation.14

THE DIAGNOSIS: Rhabdomyomatous Mesenchymal Hamartoma
Histopathologic examination of the excised tissue revealed haphazardly arranged bundles of mature striated muscle within the dermis and subcutaneous tissue admixed with adipose tissue, adnexal structures, blood vessels, and nerves. The presence of the lesion since birth, midline clinical presentation, and histologic findings were consistent with a diagnosis of rhabdomyomatous mesenchymal hamartoma (RMH).
Also referred to as striated muscle hamartoma, RMH is a rare benign lesion thought to have embryonic origin due to its midline presentation.1 The etiology of RMH is unknown but is hypothesized to be due to abnormal migration or growth of embryonic mesenchymal tissue. Rhabdomyomatous mesenchymal hamartoma typically manifests in infancy or early childhood as a solitary midline papule on the head or neck, although there have been rare reports of development in adulthood.2-4 Lesions often are polypoid or exophytic but may manifest as smooth papules or subcutaneous nodules.2 Although benign, RMH may be associated with other congenital abnormalities and conditions, such as Delleman syndrome, which is caused by a sporadic genetic abnormality and results in defects of the eye, central nervous system, and skin.5 Treatment for RMH is not needed, but surgical excision for cosmetic purposes can be performed with low risk for recurrence. Histologically, RMH demonstrates a normal epidermis overlying disorganized bundles of skeletal muscle accompanied by varying amounts of other mature dermal and subcutaneous tissues including nerves, blood vessels, adipose tissue, and other adnexal structures.2,6 Myoglobin and desmin are positive within the skeletal muscle bundles.7
Fibrous hamartoma of infancy (FHI) often manifests as a movable, ill-defined nodule within the subcutaneous tissue. While also occurring in young children—typically within the first 2 years of life—FHI primarily is found on the upper arms, back, and axillae, in contrast to FHI.8 The classic histopathologic presentation of FHI consists of a triphasic morphology consisting of undifferentiated mesenchymal cells and dense fibroblastic/myofibroblastic tissue with mature adipose tissue woven throughout in islands (Figure 1).9 Skeletal muscle is not a component of this tumor.

Neurofibromas also may manifest clinically as papules or nodules and arise from the peripheral nerve sheath. There are 3 major subtypes of neurofibromas—localized, diffuse, and plexiform—with the last being strongly associated with neurofibromatosis type 1.10 The plexiform type has a rare risk for malignant transformation. The typical histopathologic finding of a localized cutaneous neurofibroma is a dermal proliferation of spindle cells with wavy nuclei within a variably myxoid stroma (Figure 2).11 Interspersed mast cells also can be seen. A plexiform neurofibroma typically involves multiple nerve fascicles and comprises multinodular or tortuous bundles of cytologically bland spindle cells. Compared to RMH, skeletal muscle is not a component of this tumor.

Nevus lipomatosus superficialis is a benign hamartoma that can manifest as a pedunculated or exophytic papule. The lesions may be solitary or multiple and, unlike RMH, are most common on the buttocks, upper thighs, and trunk.12 The histopathologic features of nevus lipomatosus superficialis include clusters of mature adipose tissue in the superficial dermis admixed with collagen fibers and variably increased vasculature (Figure 3).13 Nevus lipomatosus superficialis does not contain skeletal muscle within the tumor in comparison to RMH.

It is important to distinguish rhabdomyosarcoma (RMS) from RMH, as it is associated with increased mortality and morbidity. Rhabdomyosarcoma is the most common soft-tissue sarcoma in children and is derived from mesenchyme with variable degrees of skeletal muscle differentiation.14 Due to its mesenchymal origin, these tumors can manifest in a variety of places but most commonly on the head and neck and in the genital region.15 The most common subtype is embryonal rhabdomyosarcoma. Histologically, embryonal RMS shows a moderately cellular tumor composed of sheets of spindle-shaped or round cells with scant or eosinophilic cytoplasm (Figure 4). The absence of genetic translocation in the paired box-forkhead box protein 01 (PAX-FOXO1) gene helps distinguish it from solid alveolar RMS, the second most common and more aggressive subtype.12 Positive immunohistochemical staining for desmin, myoblast determination protein 1 (MyoD1), and myogenin supports myogenic differentiation.14

- Bernal-Mañas CM, Isaac-Montero MA, Vargas-Uribe MC, et al. Hamartoma mesenquimal rabdomiomatoso [rhabdomyomatous mesenchymal hamartoma]. An Pediatr (Barc). 2013;78:260-262. doi:10.1016/j.anpedi.2012.08.005
- Al Amri R, De Stefano DV, Wang Q, et al. Morphologic spectrum of rhabdomyomatous mesenchymal hamartomas (striated muscle hamartomas) in pediatric dermatopathology. Am J Dermatopathol. 2022;44:170-173. doi:10.1097/DAD.0000000000002062
- Carboni A, Fomin D. A rare adult presentation of a congenital tumor discovered incidentally after trauma. JAAD Case Rep. 2022;31:121-123. doi:10.1016/j.jdcr.2022.10.024
- Chang CP, Chen GS. Rhabdomyomatous mesenchymal hamartoma: a plaque-type variant in an adult. Kaohsiung J Med Sci. 2005; 21(4):185-188. doi:10.1016/S1607-551X(09)70299-2
- Bahmani M, Naseri R, Iraniparast A, et al. Oculocerebrocutaneous syndrome (Delleman syndrome): a case with a novel presentation of orbital involvement. Case Rep Pediatr. 2021;2021:5524131. doi:10.1155/2021/5524131
- Kim H, Chung JH, Sung HM, et al. Rhabdomyomatous mesenchymal hamartoma presenting as a midline mass on a chin. Arch Craniofac Surg. 2017;18:292-295. doi:10.7181/acfs.2017.18.4.292.
- Lin CP, Nguyen JM, Aboutalebi S, et al. Incidental rhabdomyomatous mesenchymal hamartoma. Proc (Bayl Univ Med Cent). 2020;34:161-162. doi:10.1080/08998280.2020.1801087
- Ji Y, Hu P, Zhang C, et al. Fibrous hamartoma of infancy: radiologic features and literature review. BMC Musculoskelet Disord. 2019;20:356. doi:10.1186/s12891-019-2743-5
- Yu G, Wang Y, Wang G, et al. Fibrous hamartoma of infancy: a clinical pathological analysis of seventeen cases. Int J Clin Exp Pathol. 2015;8:3374-3377.
- Ferner RE, O’Doherty MJ. Neurofibroma and schwannoma. Curr Opin Neurol. 2002;15:679-684. doi:10.1097/01.wco.0000044763.39452.aa
- Miettinen MM, Antonescu CR, Fletcher CDM, et al. Histopathologic evaluation of atypical neurofibromatous tumors and their transformation into malignant peripheral nerve sheath tumor in patients with neurofibromatosis 1-a consensus overview. Hum Pathol. 2017;67:1-10. doi:10.1016/j.humpath.2017.05.010
- Kim RH, Stevenson ML, Hale CS, et al. Nevus lipomatosus superficialis. Dermatol Online J. 2014;20:13030/qt2cb3c5t3.
- Singh P, Anandani GM. Nevus lipomatosus superficialis, an unusual case report. J Family Med Prim Care. 2022;11:4045-4047. doi:10.4103/jfmpc.jfmpc_2352_21
- Shern JF, Yohe ME, Khan J. Pediatric rhabdomyosarcoma. Crit Rev Oncog. 2015;20:227-243. doi:10.1615/critrevoncog.2015013800
- Rogers TN, Dasgupta R. Management of rhabdomyosarcoma in pediatric patients. Surg Oncol Clin N Am. 2021;30:339-353. doi:10.1016/j.soc.2020.11.003
- Machado I, Mayordomo-Aranda E, Giner F, et al. The role of immunohistochemistry in rhabdomyosarcoma diagnosis using tissue microarray technology and a xenograft model. Fetal Pediatr Pathol. 2015;34:271-281. doi:10.3109/15513815.2015.1042604
- Bernal-Mañas CM, Isaac-Montero MA, Vargas-Uribe MC, et al. Hamartoma mesenquimal rabdomiomatoso [rhabdomyomatous mesenchymal hamartoma]. An Pediatr (Barc). 2013;78:260-262. doi:10.1016/j.anpedi.2012.08.005
- Al Amri R, De Stefano DV, Wang Q, et al. Morphologic spectrum of rhabdomyomatous mesenchymal hamartomas (striated muscle hamartomas) in pediatric dermatopathology. Am J Dermatopathol. 2022;44:170-173. doi:10.1097/DAD.0000000000002062
- Carboni A, Fomin D. A rare adult presentation of a congenital tumor discovered incidentally after trauma. JAAD Case Rep. 2022;31:121-123. doi:10.1016/j.jdcr.2022.10.024
- Chang CP, Chen GS. Rhabdomyomatous mesenchymal hamartoma: a plaque-type variant in an adult. Kaohsiung J Med Sci. 2005; 21(4):185-188. doi:10.1016/S1607-551X(09)70299-2
- Bahmani M, Naseri R, Iraniparast A, et al. Oculocerebrocutaneous syndrome (Delleman syndrome): a case with a novel presentation of orbital involvement. Case Rep Pediatr. 2021;2021:5524131. doi:10.1155/2021/5524131
- Kim H, Chung JH, Sung HM, et al. Rhabdomyomatous mesenchymal hamartoma presenting as a midline mass on a chin. Arch Craniofac Surg. 2017;18:292-295. doi:10.7181/acfs.2017.18.4.292.
- Lin CP, Nguyen JM, Aboutalebi S, et al. Incidental rhabdomyomatous mesenchymal hamartoma. Proc (Bayl Univ Med Cent). 2020;34:161-162. doi:10.1080/08998280.2020.1801087
- Ji Y, Hu P, Zhang C, et al. Fibrous hamartoma of infancy: radiologic features and literature review. BMC Musculoskelet Disord. 2019;20:356. doi:10.1186/s12891-019-2743-5
- Yu G, Wang Y, Wang G, et al. Fibrous hamartoma of infancy: a clinical pathological analysis of seventeen cases. Int J Clin Exp Pathol. 2015;8:3374-3377.
- Ferner RE, O’Doherty MJ. Neurofibroma and schwannoma. Curr Opin Neurol. 2002;15:679-684. doi:10.1097/01.wco.0000044763.39452.aa
- Miettinen MM, Antonescu CR, Fletcher CDM, et al. Histopathologic evaluation of atypical neurofibromatous tumors and their transformation into malignant peripheral nerve sheath tumor in patients with neurofibromatosis 1-a consensus overview. Hum Pathol. 2017;67:1-10. doi:10.1016/j.humpath.2017.05.010
- Kim RH, Stevenson ML, Hale CS, et al. Nevus lipomatosus superficialis. Dermatol Online J. 2014;20:13030/qt2cb3c5t3.
- Singh P, Anandani GM. Nevus lipomatosus superficialis, an unusual case report. J Family Med Prim Care. 2022;11:4045-4047. doi:10.4103/jfmpc.jfmpc_2352_21
- Shern JF, Yohe ME, Khan J. Pediatric rhabdomyosarcoma. Crit Rev Oncog. 2015;20:227-243. doi:10.1615/critrevoncog.2015013800
- Rogers TN, Dasgupta R. Management of rhabdomyosarcoma in pediatric patients. Surg Oncol Clin N Am. 2021;30:339-353. doi:10.1016/j.soc.2020.11.003
- Machado I, Mayordomo-Aranda E, Giner F, et al. The role of immunohistochemistry in rhabdomyosarcoma diagnosis using tissue microarray technology and a xenograft model. Fetal Pediatr Pathol. 2015;34:271-281. doi:10.3109/15513815.2015.1042604
Exophytic Papule on the Chin of a Child
Exophytic Papule on the Chin of a Child
A 3-year-old boy presented to the dermatology department for evaluation of an asymptomatic papule on the chin that had been present since birth. His medical history was otherwise unremarkable. Physical examination revealed a 4×2-mm, flesh-colored, exophytic papule on the midline chin. An excisional biopsy was performed.

Radiation and Medical Oncology Perspectives on Oligometastatic Disease Treatment
Radiation and Medical Oncology Perspectives on Oligometastatic Disease Treatment
The treatment of metastatic solid tumors has been based historically on systemic therapies, with the goal of delaying progression and extend life as long as possible, with tolerable treatment-related adverse events. Some exceptions were made for local treatment with surgery or radiotherapy (RT), often for patients with a single metastasis. A 1939 report describes a patient with renal adenocarcinoma and a solitary lung metastasis who underwent RT to the lung lesion after nephrectomy and subsequently partial lobectomy after the metastatic lesion progressed. The authors argued that if a metastasis appears solitary and accessible, it is plausible to remove it in addition to the primary growth.1
In 1995 Hellman and Weichselbaum proposed oligometastatic disease (OMD). They reasoned that malignancy exists along a spectrum from localized disease to widely disseminated disease, with OMD existing in between with a still-restricted tumor metastatic capacity. Appropriately selected patients with OMD may be candidates for prolonged disease-free survival or cure with the addition of local therapy to systemic therapy.2
The EORTC 4004 phase 2 randomized control trial (RCT) analyzed radiofrequency ablation (RFA) for colorectal liver metastases with systemic therapy vs systemic therapy alone for patients with ≤ 9 liver lesions.3 Systemic therapyconsisted of 5-FU/leucovorin/oxaliplatin, with bevacizumab added to the regimen 3.5 years into the study, per updated standard- of-care. This trial was the first to demonstrate the benefit of aggressive local treatment vs system treatment alone for OMD with a progression-free survival (PFS) benefit (16.8 vs 9.9 months; hazard ratio [HR], 0.63; P = .03) and overall survival (OS) benefit (45.3 vs 40.5 months; HR, 0.74; P = .02) with the addition of local treatment with RFA.
Since the presentations of the SABR-COMET phase 2 RCT and another study by Gomez et al at the American Society for Radiation Oncology (ASTRO) 2018 annual meeting, the paradigm for offering local RT for OMD has rapidly evolved. Both studies found PFS and OS benefits of RT for patients with OMD.4,5 Additional RCTs have since demonstrated that for properly selected patients with OMD, aggressive local RT improved PFS and OS.6-9 These small studies have led to larger RCTs to better understand who benefits from local consolidative treatment, particularly RT.10,11
There is a large degree of heterogeneity in how oncologists define and approach OMD treatment. The 2020 European Society for Radiotherapy and Oncology (ESTRO) and ASTRO consensus guidelines defined the OMD state as 1 to 5 metastatic lesions for which all metastatic sites are safely treatable.12 The purpose of this study was to evaluate perceptions and practice patterns among radiation oncologists and medical oncologists regarding the use of local RT for OMD across the Veterans Health Administration (VHA).
Methods
A 12-question survey was developed by the VHA Palliative Radiotherapy Task Force using the ESTRO-ASTRO consensus guidelines to define OMD. The survey was emailed to the VHA radiation oncology and medical oncology listservs on August 1, 2023. These listservs consist of physicians in these specialties either directly employed by the VHA or serve in its facilities as contractors. The original response closure date was August 11, 2023, but it was extended to August 18, 2023, to increase responses. No incentives were offered to respondents. Two email reminders were sent to the medical oncology listserv and 3 to the radiation oncology listserv. Descriptive statistics and X2 tests were used for data analysis. The impact of specialty and presence of an on-site department of radiation oncology were reviewed. This project was approved by the VHA National Oncology Program and National Radiation Oncology Program.
Results
The survey was sent to 125 radiation oncologists and 515 medical oncologists and 106 were completed for a 16.6% response rate. There were 59 (55.7%) radiation oncologist responses and 47 (44.3%) medical oncologist responses. Most (96.2%) respondents were board-certified, and 84 (79.2%) were affiliated with an academic center. Not every respondent answered every question (Table).

All respondents (n = 105) indicated there is a potential benefit of high-dose RT for appropriately selected cases. Ninety-four oncologists (88.7%) believed that RT for OMD contributes to cure (88.1% of radiation oncologists, 89.4% of medical oncologists; P = .84) for appropriately selected cases. Some respondents who did not believe RT for OMD contributes to cure added comments about other perceived benefits, such as local disease control for palliation, delaying systemic therapy with its associated toxicities, and prolongation of disease-free survival or OS. A higher percentage of respondents with academic affiliations believed high-dose RT contributes to cure, although this difference did not reach statistical significance (Figure 1).

Fifty-five respondents (51.9%; 55.2% radiation oncologists vs 50.0% medical oncologists; P = .60) responded that local RT for OMD treatment should not be limited by primary tumor type. Of respondents who responded that OMD treatment should be limited based on the type of primary tumor, many provided comments that argued there was a benefit for non-small cell lung cancer (NSCLC), prostate adenocarcinoma (PCa), and colorectal cancer.
The definition of how many metastatic lesions qualify as OMD varied. A total of 48.6% of respondents defined OMD as ≤ 3 lesions and 42.9% answered ≤ 5 lesions. A majority of radiation oncologists (55.2%) classified ≤ 5 lesions as OMD, whereas a majority of medical oncologists (66.0%) considered ≤ 3 lesions as OMD (P = .006) (Figure 2).

Thirty-six medical oncologists (76.6%) report having an on-site department of radiation oncology (Figure 3). This subgroup was more likely to consider local RT potentially curative compared with their medical oncology peers without on-site radiation oncology (94.4% vs 72.7%; P = .04).

Case Management
The 3 clinical cases demonstrated the heterogeneity of management approaches for OMD. The first described a man aged 65 years with PCa and 2 asymptomatic pelvic bone metastases. Ninety-three respondents (90.3%) recommended RT at the primary site and 74.8% recommended RT to both the primary site and metastatic foci. Sixty-three respondents (67.7%) recommended a STAMPEDE-compatible dose, and 30 (32.3%) recommended a definitive dose.
The second clinical case was a 60-year-old man with a cT1N2M1 NSCLC, with a solitary metastatic focus to the left iliac wing. Fifty-eight respondents (54.7%) recommended upfront systemic chemotherapy and the option of local therapy to the chest and metastatic focus after initial chemotherapy; 28 respondents (26.4%) recommended upfront chemoradiation to the chest and definitive radiation to the left iliac wing metastasis.
The third clinical case described a male aged 70 years with a history of a treated base of tongue squamous cell carcinoma, with a solitary metastatic focus within the right lung. Respondents could pick multiple treatment options and 85 (81.7%) favored upfront definitive local therapy with surgery or stereotactic body radiotherapy (SBRT), rather than upfront chemotherapy, with future consideration for local treatment. About half of respondents (51.8%) recommended SBRT and 41.2% would let the patient decide between surgery or SBRT. Additionally, 39.6% included in their patient counselling that the treatment may be for curative intent.
Discussion
The use of local treatment to increased PFS, OS, or even cure treatment for OMD has become more accepted since the 2018 ASTRO meeting.4,5 Palma et al analyzed a controlled primary malignancy of any histology and ≤ 5 metastatic lesions, with all lesions amenable to SBRT.4 With a median follow-up of 51 months when comparing the standard-of-care (SOC) arm and the SBRT arm, the 5-year PFS was not reached and the 5-year OS rates were 17.7% and 42.3% (P = .006), respectively. In the SBRT arm, about 1 in 5 patients survived > 5 years without a recurrence or disease progression, vs 0 patients in the control arm. There was a 29% rate of grade 2 or higher toxicity in the SBRT arm, including 3 deaths that were likely due to treatment. Subsequent trials, such as the phase 3 SABR-COMET-3 (1-3 metastases), phase 3 SABR-COMET-10 (4-10 metastases), and phase 1 ARREST (> 10 metastases) trials, have been specifically designed to minimize treatment-related toxicities.13-15
Gomez et al analyzed patients at 3 sites with a controlled NSCLC primary tumor and ≤ 3 metastases.5 At a follow-up of 38.8 months, the PFS was 4.4 months in the SOC arm vs 14.2 months in the RT and/or surgery local treatment arm (P = .02). There was also an OS benefit of 17.0 vs 41.2 months (P = .02), respectively.
Several RCTs soon followed that demonstrated improved PFS and OS with local radiotherapy for OMD; however, total metastatic ablation of the foci is necessary to attain these PFS and OS benefits.6-9 Still, an oncologic benefit has yet to be proven. The randomized NRGBR002 study phase 2/3 trial for oligometastatic breast cancer included patients with ≤ 4 extracranial metastases and controlled primary disease to metastasis-directed therapy (SBRT and/ or surgical resection) and systemic therapy vs systemic therapy alone.10 The study did not demonstrate improved PFS or OS at 3 years. However, for most breast cancers, especially with the rapid advancements in systemic therapy that have been achieved, longer follow-up may be necessary to detect a significant difference.
The prospective single-arm phase 2 SABR-5 trial retrospectively demonstrated important lessons about the timing of SBRT and systemic therapy.11 This study included patients with ≤ 5 metastases of any histology, and they received SBRT to all lesions. SABR-5 retrospectively compared patients who received upfront systemic therapy followed by SBRT vs another cohort that first received SBRT and did not receive systemic therapy until there was disease progression. Patients with oligo-progression were excluded, as it demonstrated systemic drug resistance. At a median follow-up time of 34 months, delayed systemic treatment was associated with shorter PFS (23 vs 34 months, respectively; P = .001), but not worse 3-year OS (80% vs 85%, respectively; P = .66). In addition, the delayed systemic treatment arm demonstrated a reduced risk of grade 2 or higher SBRT-related toxicity (odds ratio, 0.35; P < .001).
Similarly, the STOMP phase 2 trial analyzed the role of metastasis-directed therapy (MDT) in delaying initiation of androgen deprivation therapy (ADT) in a randomized phase 2 trial.16 This study included patients with asymptomatic PCa with a biochemical recurrence after primary treatment, 1 to 3 extracranial metastatic lesions, and serum testosterone levels > 50 ng/mL. Sixty-two patients were randomized 1:1 to either MDT (SBRT or surgery) of all lesions or surveillance. The 5-year ADT-free survival was 34% for MDT vs 8% for surveillance (P = .06).
VHA Radiation Oncology
The VHA has 138 departments of medical oncology, but only 41 departments of radiation oncology. Compared with medical oncologists without an on-site radiation oncology department, those with on-site departments were more likely to believe that local RT was potentially curative (94.4% vs 72.7%, respectively; P = .04). This finding suggests that a cancer center that includes both specialties has closer collaboration, which results in greater inclination to embrace local RT for OMD, as it has demonstrated PFS and OS benefits.
The radiation and medical oncologists surveyed had statistically significant differences in response by specialty regarding the maximal number of lesions still believed to constitute OMD. Most radiation oncologists classified ≤ 5 lesions as OMD, whereas most medical oncologists classified ≤ 3 lesions as OMD. This difference is not unexpected. There is no universally agreed-upon definition of OMD, and criteria differ across studies.
While the SABR-COMET trial did include ≤ 5 metastatic lesions, it was a phase 2 RCT, making subgroup analysis difficult. Ongoing phase 3 trials that are more specific in the number of metastases, comparing 1 to 3 vs 4 to 10 metastases (SABR-COMET-3 and SABR-COMET-10, respectively).13,14 There is even an ongoing phase 1 trial (ARREST) studying the potential benefits of treating (“restraining”) > 10 metastases, if dosimetrically feasible.15 Within the VHA, VA STARPORT is investigating MDT for recurrent or de novo hormone-sensitive metastatic PCa.17 The ongoing HALT phase 2/3 trial focuses on patients with actionable mutations to help determine management of oligo-progression in mutation-positive NSCLC.18
There was no significant difference by specialty in who responded that offering local RT for OMD treatment should not be limited by histology (55.2% of radiation oncologists and 50.0% of medical oncologists; P = .60). Oncologists could make the argument that some histologies (eg, pancreatic adenocarcinomas) have such poor prognoses that local RT would not meaningfully affect oncologic outcomes, while potentially adding toxicity, whereas others could point to improved systemic therapy regimens and the low toxicity rates with careful hypofractionation regimens. Of note, the 41-patient phase 2 EXTEND trial for pancreatic ductal adenocarcinoma suggested an oncologic benefit to MDT, with far better PFS and no grade ≥ 3 toxicities related to MDT.19 About half of respondents for each specialty believed the primary histology should affect the decision. Further clarification may emerge from phase 3 trials.
Of note, a 2023 study of 44 radiation and medical oncologists at 2 Harvard Medical School-affiliated hospitals found that for synchronous OMD, 50.0% of medical oncologists and 5.3% (P < .01) of radiation oncologists recommended systemic treatment, suggesting a greater divergence in approach than found in this study.20
Limitations
The response rate of 17.0% raised a potential for selection bias, but this rate is expected for a nonincentivized medical survey. A study by the American Board of Internal Medicine with 11 surveys and 6 weekly email contacts only generated a 23.7% response rate, while another study among physicians demonstrated a 4.5% response rate for email-based contact and 11.8% for mail-based contact.21,22 We could have asked participants questions regarding demographics and geography to ensure the survey represented a diverse sample of the medical community, although additional questions would likely suppress the response rate. Additional data collection about respondents may elucidate the rationale for differences in their responses, especially between the specialties. In a planned subsequent survey in several years, the question on the number of lesions that qualifies as OMD may be amended to reflect the context and dosimetry for the maximal number of metastases constituting OMD; the joint ESTRO-ASTRO consensus defined OMD as 1 to 5 metastatic lesions, but in which all metastatic sites must be safely treatable.12 Also, fewer example cases could be included to simplify the survey and boost response rates. A future survey may ask about the timing of SBRT and systemic therapy, and whether SBRT can safely delay systemic therapy.
Conclusions
Survey results demonstrated significant confidence among both radiation oncologists and medical oncologists that local RT for OMD improves outcomes, which is encouraging and a reflection of the recent evidence-based paradigm shift in viewing metastatic disease as a spectrum. However, there is a difference between radiation oncologists and medical oncologists in how they define OMD, and preferred treatment of the sample cases presented revealed nuanced differences by specialty. Close collaboration with radiation oncologists influences the belief of medical oncologists in the beneficial role of RT for OMD. As more phase 3 data for OMD local treatments emerge, additional investigation is needed on how beliefs and practice patterns evolve among radiation and medical oncologists.
- Barney JD, Churchill EJ. Adenocarcinoma of the kidney with metastasis to the lung. J Urology. 1939.
- Hellman S, Weichselbaum RR. Oligometastases. J Clin Oncol. 1995;13(1):8-10. doi:10.1200/JCO.1995.13.1.8
- Ruers T, Punt C, Van Coevorden F, et al. Radiofrequency ablation combined with systemic treatment versus systemic treatment alone in patients with non-resectable colorectal liver metastases: a randomized EORTC Intergroup phase II study (EORTC 4004). Ann Oncol. 2012;23(10):2619-2626. doi:10.1093/annonc/mds053
- Palma DA, Olson R, Harrow S, et al. Stereotactic ablative radiotherapy for the comprehensive treatment of oligometastatic cancers: long-term results of the SABR-COMET phase II randomized trial. J Clin Oncol. 2020;38(25):2830- 2838. doi:10.1200/JCO.20.00818
- Gomez DR, Tang C, Zhang J, et al. Local consolidative therapy vs. maintenance therapy or observation for patients with oligometastatic non-small-cell lung cancer: long-term results of a multi-institutional, phase II, randomized study. J Clin Oncol. 2019;37(18):1558-1565. doi:10.1200/JCO.19.00201
- Iyengar P, Wardak Z, Gerber DE, et al. Consolidative radiotherapy for limited metastatic non-small-cell lung cancer: a phase 2 randomized clinical trial. JAMA Oncol. 2018;4(1):e173501. doi:10.1001/jamaoncol.2017.3501
- Phillips R, Shi WY, Deek M, et al. Outcomes of observation vs stereotactic ablative radiation for oligometastatic prostate cancer: the ORIOLE phase 2 randomized clinical trial. JAMA Oncol. 2020;6(5):650-659. doi:10.1001/jamaoncol.2020.0147
- Wang XS, Bai YF, Verma V, et al. Randomized trial of first-line tyrosine kinase inhibitor with or without radiotherapy for synchronous oligometastatic EGFR-mutated NSCLC. J Natl Cancer Inst 2023;115(6):742-748. doi:10.1093/jnci/djac015
- Tang C, Sherry AD, Haymaker C, et al. Addition of metastasis- directed therapy to intermittent hormone therapy for oligometastatic prostate cancer (EXTEND): a multicenter, randomized phase II trial. Am Soc Radiat Oncol Annu Meet. 2023;9(6):825-834. doi:10.1001/jamaoncol.2023.0161
- Chmura SJ, Winter KA, Woodward WA, et al. NRG-BR002: a phase IIR/III trial of standard of care systemic therapy with or without stereotactic body radiotherapy (SBRT) and/or surgical resection (SR) for newly oligometastatic breast cancer (NCT02364557). J Clin Oncol. 2022;40:1007. doi:10.1200/JCO.2022.40.16_suppl.1007
- Baker S, Lechner L, Liu M, et al. Upfront versus delayed systemic therapy in patients with oligometastatic cancer treated with SABR in the phase 2 SABR-5 trial. Int J Radiat Oncol Biol Phys. 2024;118(5):1497-1506. doi:10.1016/j.ijrobp.2023.11.007
- Lievens Y, Guckenberger M, Gomez D, et al. Defining oligometastatic disease from a radiation oncology perspective: an ESTRO-ASTRO consensus document. Radiother Oncol. 2020;148:157-166. doi:10.1016/j.radonc.2020.04.003
- Olson R, Mathews L, Liu M, et al. Stereotactic ablative radiotherapy for the comprehensive treatment of 1-3 oligometastatic tumors (SABR-COMET-3): study protocol for a randomized phase III trial. BMC Cancer. 2020;20(1):380. doi:10.1186/s12885-020-06876-4
- Palma DA, Olson R, Harrow S, et al. Stereotactic ablative radiotherapy for the comprehensive treatment of 4-10 oligometastatic tumors (SABR-COMET-10): study protocol for a randomized phase III trial. BMC Cancer. 2019;19(1):816. doi:10.1186/s12885-019-5977-6
- Bauman GS, Corkum MT, Fakir H, et al. Ablative radiation therapy to restrain everything safely treatable (ARREST): study protocol for a phase I trial treating polymetastatic cancer with stereotactic radiotherapy. BMC Cancer. 2021;21(1):405. doi:10.1186/s12885-021-08136-5
- Ost P, Reynders D, Decaestecker K, et al. Surveillance or metastasis-directed therapy for oligometastatic prostate cancer recurrence (STOMP): five-year results of a randomized phase II trial. J Clin Oncol. 2020;38:suppl.
- Solanki AA, Campbell D, Carlson K, et al. Veterans Affairs seamless phase II/III randomized trial of standard systemic therapy with or without PET-directed local therapy for oligometastatic prostate cancer (VA STARPORT). J Clin Oncol. 2024;42:16.
- McDonald F, Guckenberger M, Popat S. EP08.03-005 HALT – Targeted therapy with or without dose-intensified radiotherapy in oligo-progressive disease in oncogene addicted lung tumours. J Thor Oncol. 2022;17:S492.
- Ludmir EB, Sherry AD, Fellman BM, et al. Addition of metastasis- directed therapy to systemic therapy for oligometastatic pancreatic ductal adenocarcinoma (EXTEND): a multicenter, randomized phase II trial. J Clin Oncol. 2024;42(32):3795-3805. doi:10.1200/JCO.24.00081
- Cho HL, Balboni T, Christ SB, et al. Is oligometastatic cancer curable? A survey of oncologist perspectives, decision making, and communication. Adv Radiat Oncol. 2023;8(5):101221. doi:10.1016/j.adro.2023.101221
- Barnhart BJ, Reddy SG, Arnold GK. Remind me again: physician response to web surveys: the effect of email reminders across 11 opinion survey efforts at the American Board of Internal Medicine from 2017 to 2019. Eval Health Prof. 2021;44(3):245-259. doi:10.1177/01632787211019445
- Murphy CC, Lee SJC, Geiger AM, et al. A randomized trial of mail and email recruitment strategies for a physician survey on clinical trial accrual. BMC Med Res Methodol. 2020;20(1):123. doi:10.1186/s12874-020-01014-x
The treatment of metastatic solid tumors has been based historically on systemic therapies, with the goal of delaying progression and extend life as long as possible, with tolerable treatment-related adverse events. Some exceptions were made for local treatment with surgery or radiotherapy (RT), often for patients with a single metastasis. A 1939 report describes a patient with renal adenocarcinoma and a solitary lung metastasis who underwent RT to the lung lesion after nephrectomy and subsequently partial lobectomy after the metastatic lesion progressed. The authors argued that if a metastasis appears solitary and accessible, it is plausible to remove it in addition to the primary growth.1
In 1995 Hellman and Weichselbaum proposed oligometastatic disease (OMD). They reasoned that malignancy exists along a spectrum from localized disease to widely disseminated disease, with OMD existing in between with a still-restricted tumor metastatic capacity. Appropriately selected patients with OMD may be candidates for prolonged disease-free survival or cure with the addition of local therapy to systemic therapy.2
The EORTC 4004 phase 2 randomized control trial (RCT) analyzed radiofrequency ablation (RFA) for colorectal liver metastases with systemic therapy vs systemic therapy alone for patients with ≤ 9 liver lesions.3 Systemic therapyconsisted of 5-FU/leucovorin/oxaliplatin, with bevacizumab added to the regimen 3.5 years into the study, per updated standard- of-care. This trial was the first to demonstrate the benefit of aggressive local treatment vs system treatment alone for OMD with a progression-free survival (PFS) benefit (16.8 vs 9.9 months; hazard ratio [HR], 0.63; P = .03) and overall survival (OS) benefit (45.3 vs 40.5 months; HR, 0.74; P = .02) with the addition of local treatment with RFA.
Since the presentations of the SABR-COMET phase 2 RCT and another study by Gomez et al at the American Society for Radiation Oncology (ASTRO) 2018 annual meeting, the paradigm for offering local RT for OMD has rapidly evolved. Both studies found PFS and OS benefits of RT for patients with OMD.4,5 Additional RCTs have since demonstrated that for properly selected patients with OMD, aggressive local RT improved PFS and OS.6-9 These small studies have led to larger RCTs to better understand who benefits from local consolidative treatment, particularly RT.10,11
There is a large degree of heterogeneity in how oncologists define and approach OMD treatment. The 2020 European Society for Radiotherapy and Oncology (ESTRO) and ASTRO consensus guidelines defined the OMD state as 1 to 5 metastatic lesions for which all metastatic sites are safely treatable.12 The purpose of this study was to evaluate perceptions and practice patterns among radiation oncologists and medical oncologists regarding the use of local RT for OMD across the Veterans Health Administration (VHA).
Methods
A 12-question survey was developed by the VHA Palliative Radiotherapy Task Force using the ESTRO-ASTRO consensus guidelines to define OMD. The survey was emailed to the VHA radiation oncology and medical oncology listservs on August 1, 2023. These listservs consist of physicians in these specialties either directly employed by the VHA or serve in its facilities as contractors. The original response closure date was August 11, 2023, but it was extended to August 18, 2023, to increase responses. No incentives were offered to respondents. Two email reminders were sent to the medical oncology listserv and 3 to the radiation oncology listserv. Descriptive statistics and X2 tests were used for data analysis. The impact of specialty and presence of an on-site department of radiation oncology were reviewed. This project was approved by the VHA National Oncology Program and National Radiation Oncology Program.
Results
The survey was sent to 125 radiation oncologists and 515 medical oncologists and 106 were completed for a 16.6% response rate. There were 59 (55.7%) radiation oncologist responses and 47 (44.3%) medical oncologist responses. Most (96.2%) respondents were board-certified, and 84 (79.2%) were affiliated with an academic center. Not every respondent answered every question (Table).

All respondents (n = 105) indicated there is a potential benefit of high-dose RT for appropriately selected cases. Ninety-four oncologists (88.7%) believed that RT for OMD contributes to cure (88.1% of radiation oncologists, 89.4% of medical oncologists; P = .84) for appropriately selected cases. Some respondents who did not believe RT for OMD contributes to cure added comments about other perceived benefits, such as local disease control for palliation, delaying systemic therapy with its associated toxicities, and prolongation of disease-free survival or OS. A higher percentage of respondents with academic affiliations believed high-dose RT contributes to cure, although this difference did not reach statistical significance (Figure 1).

Fifty-five respondents (51.9%; 55.2% radiation oncologists vs 50.0% medical oncologists; P = .60) responded that local RT for OMD treatment should not be limited by primary tumor type. Of respondents who responded that OMD treatment should be limited based on the type of primary tumor, many provided comments that argued there was a benefit for non-small cell lung cancer (NSCLC), prostate adenocarcinoma (PCa), and colorectal cancer.
The definition of how many metastatic lesions qualify as OMD varied. A total of 48.6% of respondents defined OMD as ≤ 3 lesions and 42.9% answered ≤ 5 lesions. A majority of radiation oncologists (55.2%) classified ≤ 5 lesions as OMD, whereas a majority of medical oncologists (66.0%) considered ≤ 3 lesions as OMD (P = .006) (Figure 2).

Thirty-six medical oncologists (76.6%) report having an on-site department of radiation oncology (Figure 3). This subgroup was more likely to consider local RT potentially curative compared with their medical oncology peers without on-site radiation oncology (94.4% vs 72.7%; P = .04).

Case Management
The 3 clinical cases demonstrated the heterogeneity of management approaches for OMD. The first described a man aged 65 years with PCa and 2 asymptomatic pelvic bone metastases. Ninety-three respondents (90.3%) recommended RT at the primary site and 74.8% recommended RT to both the primary site and metastatic foci. Sixty-three respondents (67.7%) recommended a STAMPEDE-compatible dose, and 30 (32.3%) recommended a definitive dose.
The second clinical case was a 60-year-old man with a cT1N2M1 NSCLC, with a solitary metastatic focus to the left iliac wing. Fifty-eight respondents (54.7%) recommended upfront systemic chemotherapy and the option of local therapy to the chest and metastatic focus after initial chemotherapy; 28 respondents (26.4%) recommended upfront chemoradiation to the chest and definitive radiation to the left iliac wing metastasis.
The third clinical case described a male aged 70 years with a history of a treated base of tongue squamous cell carcinoma, with a solitary metastatic focus within the right lung. Respondents could pick multiple treatment options and 85 (81.7%) favored upfront definitive local therapy with surgery or stereotactic body radiotherapy (SBRT), rather than upfront chemotherapy, with future consideration for local treatment. About half of respondents (51.8%) recommended SBRT and 41.2% would let the patient decide between surgery or SBRT. Additionally, 39.6% included in their patient counselling that the treatment may be for curative intent.
Discussion
The use of local treatment to increased PFS, OS, or even cure treatment for OMD has become more accepted since the 2018 ASTRO meeting.4,5 Palma et al analyzed a controlled primary malignancy of any histology and ≤ 5 metastatic lesions, with all lesions amenable to SBRT.4 With a median follow-up of 51 months when comparing the standard-of-care (SOC) arm and the SBRT arm, the 5-year PFS was not reached and the 5-year OS rates were 17.7% and 42.3% (P = .006), respectively. In the SBRT arm, about 1 in 5 patients survived > 5 years without a recurrence or disease progression, vs 0 patients in the control arm. There was a 29% rate of grade 2 or higher toxicity in the SBRT arm, including 3 deaths that were likely due to treatment. Subsequent trials, such as the phase 3 SABR-COMET-3 (1-3 metastases), phase 3 SABR-COMET-10 (4-10 metastases), and phase 1 ARREST (> 10 metastases) trials, have been specifically designed to minimize treatment-related toxicities.13-15
Gomez et al analyzed patients at 3 sites with a controlled NSCLC primary tumor and ≤ 3 metastases.5 At a follow-up of 38.8 months, the PFS was 4.4 months in the SOC arm vs 14.2 months in the RT and/or surgery local treatment arm (P = .02). There was also an OS benefit of 17.0 vs 41.2 months (P = .02), respectively.
Several RCTs soon followed that demonstrated improved PFS and OS with local radiotherapy for OMD; however, total metastatic ablation of the foci is necessary to attain these PFS and OS benefits.6-9 Still, an oncologic benefit has yet to be proven. The randomized NRGBR002 study phase 2/3 trial for oligometastatic breast cancer included patients with ≤ 4 extracranial metastases and controlled primary disease to metastasis-directed therapy (SBRT and/ or surgical resection) and systemic therapy vs systemic therapy alone.10 The study did not demonstrate improved PFS or OS at 3 years. However, for most breast cancers, especially with the rapid advancements in systemic therapy that have been achieved, longer follow-up may be necessary to detect a significant difference.
The prospective single-arm phase 2 SABR-5 trial retrospectively demonstrated important lessons about the timing of SBRT and systemic therapy.11 This study included patients with ≤ 5 metastases of any histology, and they received SBRT to all lesions. SABR-5 retrospectively compared patients who received upfront systemic therapy followed by SBRT vs another cohort that first received SBRT and did not receive systemic therapy until there was disease progression. Patients with oligo-progression were excluded, as it demonstrated systemic drug resistance. At a median follow-up time of 34 months, delayed systemic treatment was associated with shorter PFS (23 vs 34 months, respectively; P = .001), but not worse 3-year OS (80% vs 85%, respectively; P = .66). In addition, the delayed systemic treatment arm demonstrated a reduced risk of grade 2 or higher SBRT-related toxicity (odds ratio, 0.35; P < .001).
Similarly, the STOMP phase 2 trial analyzed the role of metastasis-directed therapy (MDT) in delaying initiation of androgen deprivation therapy (ADT) in a randomized phase 2 trial.16 This study included patients with asymptomatic PCa with a biochemical recurrence after primary treatment, 1 to 3 extracranial metastatic lesions, and serum testosterone levels > 50 ng/mL. Sixty-two patients were randomized 1:1 to either MDT (SBRT or surgery) of all lesions or surveillance. The 5-year ADT-free survival was 34% for MDT vs 8% for surveillance (P = .06).
VHA Radiation Oncology
The VHA has 138 departments of medical oncology, but only 41 departments of radiation oncology. Compared with medical oncologists without an on-site radiation oncology department, those with on-site departments were more likely to believe that local RT was potentially curative (94.4% vs 72.7%, respectively; P = .04). This finding suggests that a cancer center that includes both specialties has closer collaboration, which results in greater inclination to embrace local RT for OMD, as it has demonstrated PFS and OS benefits.
The radiation and medical oncologists surveyed had statistically significant differences in response by specialty regarding the maximal number of lesions still believed to constitute OMD. Most radiation oncologists classified ≤ 5 lesions as OMD, whereas most medical oncologists classified ≤ 3 lesions as OMD. This difference is not unexpected. There is no universally agreed-upon definition of OMD, and criteria differ across studies.
While the SABR-COMET trial did include ≤ 5 metastatic lesions, it was a phase 2 RCT, making subgroup analysis difficult. Ongoing phase 3 trials that are more specific in the number of metastases, comparing 1 to 3 vs 4 to 10 metastases (SABR-COMET-3 and SABR-COMET-10, respectively).13,14 There is even an ongoing phase 1 trial (ARREST) studying the potential benefits of treating (“restraining”) > 10 metastases, if dosimetrically feasible.15 Within the VHA, VA STARPORT is investigating MDT for recurrent or de novo hormone-sensitive metastatic PCa.17 The ongoing HALT phase 2/3 trial focuses on patients with actionable mutations to help determine management of oligo-progression in mutation-positive NSCLC.18
There was no significant difference by specialty in who responded that offering local RT for OMD treatment should not be limited by histology (55.2% of radiation oncologists and 50.0% of medical oncologists; P = .60). Oncologists could make the argument that some histologies (eg, pancreatic adenocarcinomas) have such poor prognoses that local RT would not meaningfully affect oncologic outcomes, while potentially adding toxicity, whereas others could point to improved systemic therapy regimens and the low toxicity rates with careful hypofractionation regimens. Of note, the 41-patient phase 2 EXTEND trial for pancreatic ductal adenocarcinoma suggested an oncologic benefit to MDT, with far better PFS and no grade ≥ 3 toxicities related to MDT.19 About half of respondents for each specialty believed the primary histology should affect the decision. Further clarification may emerge from phase 3 trials.
Of note, a 2023 study of 44 radiation and medical oncologists at 2 Harvard Medical School-affiliated hospitals found that for synchronous OMD, 50.0% of medical oncologists and 5.3% (P < .01) of radiation oncologists recommended systemic treatment, suggesting a greater divergence in approach than found in this study.20
Limitations
The response rate of 17.0% raised a potential for selection bias, but this rate is expected for a nonincentivized medical survey. A study by the American Board of Internal Medicine with 11 surveys and 6 weekly email contacts only generated a 23.7% response rate, while another study among physicians demonstrated a 4.5% response rate for email-based contact and 11.8% for mail-based contact.21,22 We could have asked participants questions regarding demographics and geography to ensure the survey represented a diverse sample of the medical community, although additional questions would likely suppress the response rate. Additional data collection about respondents may elucidate the rationale for differences in their responses, especially between the specialties. In a planned subsequent survey in several years, the question on the number of lesions that qualifies as OMD may be amended to reflect the context and dosimetry for the maximal number of metastases constituting OMD; the joint ESTRO-ASTRO consensus defined OMD as 1 to 5 metastatic lesions, but in which all metastatic sites must be safely treatable.12 Also, fewer example cases could be included to simplify the survey and boost response rates. A future survey may ask about the timing of SBRT and systemic therapy, and whether SBRT can safely delay systemic therapy.
Conclusions
Survey results demonstrated significant confidence among both radiation oncologists and medical oncologists that local RT for OMD improves outcomes, which is encouraging and a reflection of the recent evidence-based paradigm shift in viewing metastatic disease as a spectrum. However, there is a difference between radiation oncologists and medical oncologists in how they define OMD, and preferred treatment of the sample cases presented revealed nuanced differences by specialty. Close collaboration with radiation oncologists influences the belief of medical oncologists in the beneficial role of RT for OMD. As more phase 3 data for OMD local treatments emerge, additional investigation is needed on how beliefs and practice patterns evolve among radiation and medical oncologists.
The treatment of metastatic solid tumors has been based historically on systemic therapies, with the goal of delaying progression and extend life as long as possible, with tolerable treatment-related adverse events. Some exceptions were made for local treatment with surgery or radiotherapy (RT), often for patients with a single metastasis. A 1939 report describes a patient with renal adenocarcinoma and a solitary lung metastasis who underwent RT to the lung lesion after nephrectomy and subsequently partial lobectomy after the metastatic lesion progressed. The authors argued that if a metastasis appears solitary and accessible, it is plausible to remove it in addition to the primary growth.1
In 1995 Hellman and Weichselbaum proposed oligometastatic disease (OMD). They reasoned that malignancy exists along a spectrum from localized disease to widely disseminated disease, with OMD existing in between with a still-restricted tumor metastatic capacity. Appropriately selected patients with OMD may be candidates for prolonged disease-free survival or cure with the addition of local therapy to systemic therapy.2
The EORTC 4004 phase 2 randomized control trial (RCT) analyzed radiofrequency ablation (RFA) for colorectal liver metastases with systemic therapy vs systemic therapy alone for patients with ≤ 9 liver lesions.3 Systemic therapyconsisted of 5-FU/leucovorin/oxaliplatin, with bevacizumab added to the regimen 3.5 years into the study, per updated standard- of-care. This trial was the first to demonstrate the benefit of aggressive local treatment vs system treatment alone for OMD with a progression-free survival (PFS) benefit (16.8 vs 9.9 months; hazard ratio [HR], 0.63; P = .03) and overall survival (OS) benefit (45.3 vs 40.5 months; HR, 0.74; P = .02) with the addition of local treatment with RFA.
Since the presentations of the SABR-COMET phase 2 RCT and another study by Gomez et al at the American Society for Radiation Oncology (ASTRO) 2018 annual meeting, the paradigm for offering local RT for OMD has rapidly evolved. Both studies found PFS and OS benefits of RT for patients with OMD.4,5 Additional RCTs have since demonstrated that for properly selected patients with OMD, aggressive local RT improved PFS and OS.6-9 These small studies have led to larger RCTs to better understand who benefits from local consolidative treatment, particularly RT.10,11
There is a large degree of heterogeneity in how oncologists define and approach OMD treatment. The 2020 European Society for Radiotherapy and Oncology (ESTRO) and ASTRO consensus guidelines defined the OMD state as 1 to 5 metastatic lesions for which all metastatic sites are safely treatable.12 The purpose of this study was to evaluate perceptions and practice patterns among radiation oncologists and medical oncologists regarding the use of local RT for OMD across the Veterans Health Administration (VHA).
Methods
A 12-question survey was developed by the VHA Palliative Radiotherapy Task Force using the ESTRO-ASTRO consensus guidelines to define OMD. The survey was emailed to the VHA radiation oncology and medical oncology listservs on August 1, 2023. These listservs consist of physicians in these specialties either directly employed by the VHA or serve in its facilities as contractors. The original response closure date was August 11, 2023, but it was extended to August 18, 2023, to increase responses. No incentives were offered to respondents. Two email reminders were sent to the medical oncology listserv and 3 to the radiation oncology listserv. Descriptive statistics and X2 tests were used for data analysis. The impact of specialty and presence of an on-site department of radiation oncology were reviewed. This project was approved by the VHA National Oncology Program and National Radiation Oncology Program.
Results
The survey was sent to 125 radiation oncologists and 515 medical oncologists and 106 were completed for a 16.6% response rate. There were 59 (55.7%) radiation oncologist responses and 47 (44.3%) medical oncologist responses. Most (96.2%) respondents were board-certified, and 84 (79.2%) were affiliated with an academic center. Not every respondent answered every question (Table).

All respondents (n = 105) indicated there is a potential benefit of high-dose RT for appropriately selected cases. Ninety-four oncologists (88.7%) believed that RT for OMD contributes to cure (88.1% of radiation oncologists, 89.4% of medical oncologists; P = .84) for appropriately selected cases. Some respondents who did not believe RT for OMD contributes to cure added comments about other perceived benefits, such as local disease control for palliation, delaying systemic therapy with its associated toxicities, and prolongation of disease-free survival or OS. A higher percentage of respondents with academic affiliations believed high-dose RT contributes to cure, although this difference did not reach statistical significance (Figure 1).

Fifty-five respondents (51.9%; 55.2% radiation oncologists vs 50.0% medical oncologists; P = .60) responded that local RT for OMD treatment should not be limited by primary tumor type. Of respondents who responded that OMD treatment should be limited based on the type of primary tumor, many provided comments that argued there was a benefit for non-small cell lung cancer (NSCLC), prostate adenocarcinoma (PCa), and colorectal cancer.
The definition of how many metastatic lesions qualify as OMD varied. A total of 48.6% of respondents defined OMD as ≤ 3 lesions and 42.9% answered ≤ 5 lesions. A majority of radiation oncologists (55.2%) classified ≤ 5 lesions as OMD, whereas a majority of medical oncologists (66.0%) considered ≤ 3 lesions as OMD (P = .006) (Figure 2).

Thirty-six medical oncologists (76.6%) report having an on-site department of radiation oncology (Figure 3). This subgroup was more likely to consider local RT potentially curative compared with their medical oncology peers without on-site radiation oncology (94.4% vs 72.7%; P = .04).

Case Management
The 3 clinical cases demonstrated the heterogeneity of management approaches for OMD. The first described a man aged 65 years with PCa and 2 asymptomatic pelvic bone metastases. Ninety-three respondents (90.3%) recommended RT at the primary site and 74.8% recommended RT to both the primary site and metastatic foci. Sixty-three respondents (67.7%) recommended a STAMPEDE-compatible dose, and 30 (32.3%) recommended a definitive dose.
The second clinical case was a 60-year-old man with a cT1N2M1 NSCLC, with a solitary metastatic focus to the left iliac wing. Fifty-eight respondents (54.7%) recommended upfront systemic chemotherapy and the option of local therapy to the chest and metastatic focus after initial chemotherapy; 28 respondents (26.4%) recommended upfront chemoradiation to the chest and definitive radiation to the left iliac wing metastasis.
The third clinical case described a male aged 70 years with a history of a treated base of tongue squamous cell carcinoma, with a solitary metastatic focus within the right lung. Respondents could pick multiple treatment options and 85 (81.7%) favored upfront definitive local therapy with surgery or stereotactic body radiotherapy (SBRT), rather than upfront chemotherapy, with future consideration for local treatment. About half of respondents (51.8%) recommended SBRT and 41.2% would let the patient decide between surgery or SBRT. Additionally, 39.6% included in their patient counselling that the treatment may be for curative intent.
Discussion
The use of local treatment to increased PFS, OS, or even cure treatment for OMD has become more accepted since the 2018 ASTRO meeting.4,5 Palma et al analyzed a controlled primary malignancy of any histology and ≤ 5 metastatic lesions, with all lesions amenable to SBRT.4 With a median follow-up of 51 months when comparing the standard-of-care (SOC) arm and the SBRT arm, the 5-year PFS was not reached and the 5-year OS rates were 17.7% and 42.3% (P = .006), respectively. In the SBRT arm, about 1 in 5 patients survived > 5 years without a recurrence or disease progression, vs 0 patients in the control arm. There was a 29% rate of grade 2 or higher toxicity in the SBRT arm, including 3 deaths that were likely due to treatment. Subsequent trials, such as the phase 3 SABR-COMET-3 (1-3 metastases), phase 3 SABR-COMET-10 (4-10 metastases), and phase 1 ARREST (> 10 metastases) trials, have been specifically designed to minimize treatment-related toxicities.13-15
Gomez et al analyzed patients at 3 sites with a controlled NSCLC primary tumor and ≤ 3 metastases.5 At a follow-up of 38.8 months, the PFS was 4.4 months in the SOC arm vs 14.2 months in the RT and/or surgery local treatment arm (P = .02). There was also an OS benefit of 17.0 vs 41.2 months (P = .02), respectively.
Several RCTs soon followed that demonstrated improved PFS and OS with local radiotherapy for OMD; however, total metastatic ablation of the foci is necessary to attain these PFS and OS benefits.6-9 Still, an oncologic benefit has yet to be proven. The randomized NRGBR002 study phase 2/3 trial for oligometastatic breast cancer included patients with ≤ 4 extracranial metastases and controlled primary disease to metastasis-directed therapy (SBRT and/ or surgical resection) and systemic therapy vs systemic therapy alone.10 The study did not demonstrate improved PFS or OS at 3 years. However, for most breast cancers, especially with the rapid advancements in systemic therapy that have been achieved, longer follow-up may be necessary to detect a significant difference.
The prospective single-arm phase 2 SABR-5 trial retrospectively demonstrated important lessons about the timing of SBRT and systemic therapy.11 This study included patients with ≤ 5 metastases of any histology, and they received SBRT to all lesions. SABR-5 retrospectively compared patients who received upfront systemic therapy followed by SBRT vs another cohort that first received SBRT and did not receive systemic therapy until there was disease progression. Patients with oligo-progression were excluded, as it demonstrated systemic drug resistance. At a median follow-up time of 34 months, delayed systemic treatment was associated with shorter PFS (23 vs 34 months, respectively; P = .001), but not worse 3-year OS (80% vs 85%, respectively; P = .66). In addition, the delayed systemic treatment arm demonstrated a reduced risk of grade 2 or higher SBRT-related toxicity (odds ratio, 0.35; P < .001).
Similarly, the STOMP phase 2 trial analyzed the role of metastasis-directed therapy (MDT) in delaying initiation of androgen deprivation therapy (ADT) in a randomized phase 2 trial.16 This study included patients with asymptomatic PCa with a biochemical recurrence after primary treatment, 1 to 3 extracranial metastatic lesions, and serum testosterone levels > 50 ng/mL. Sixty-two patients were randomized 1:1 to either MDT (SBRT or surgery) of all lesions or surveillance. The 5-year ADT-free survival was 34% for MDT vs 8% for surveillance (P = .06).
VHA Radiation Oncology
The VHA has 138 departments of medical oncology, but only 41 departments of radiation oncology. Compared with medical oncologists without an on-site radiation oncology department, those with on-site departments were more likely to believe that local RT was potentially curative (94.4% vs 72.7%, respectively; P = .04). This finding suggests that a cancer center that includes both specialties has closer collaboration, which results in greater inclination to embrace local RT for OMD, as it has demonstrated PFS and OS benefits.
The radiation and medical oncologists surveyed had statistically significant differences in response by specialty regarding the maximal number of lesions still believed to constitute OMD. Most radiation oncologists classified ≤ 5 lesions as OMD, whereas most medical oncologists classified ≤ 3 lesions as OMD. This difference is not unexpected. There is no universally agreed-upon definition of OMD, and criteria differ across studies.
While the SABR-COMET trial did include ≤ 5 metastatic lesions, it was a phase 2 RCT, making subgroup analysis difficult. Ongoing phase 3 trials that are more specific in the number of metastases, comparing 1 to 3 vs 4 to 10 metastases (SABR-COMET-3 and SABR-COMET-10, respectively).13,14 There is even an ongoing phase 1 trial (ARREST) studying the potential benefits of treating (“restraining”) > 10 metastases, if dosimetrically feasible.15 Within the VHA, VA STARPORT is investigating MDT for recurrent or de novo hormone-sensitive metastatic PCa.17 The ongoing HALT phase 2/3 trial focuses on patients with actionable mutations to help determine management of oligo-progression in mutation-positive NSCLC.18
There was no significant difference by specialty in who responded that offering local RT for OMD treatment should not be limited by histology (55.2% of radiation oncologists and 50.0% of medical oncologists; P = .60). Oncologists could make the argument that some histologies (eg, pancreatic adenocarcinomas) have such poor prognoses that local RT would not meaningfully affect oncologic outcomes, while potentially adding toxicity, whereas others could point to improved systemic therapy regimens and the low toxicity rates with careful hypofractionation regimens. Of note, the 41-patient phase 2 EXTEND trial for pancreatic ductal adenocarcinoma suggested an oncologic benefit to MDT, with far better PFS and no grade ≥ 3 toxicities related to MDT.19 About half of respondents for each specialty believed the primary histology should affect the decision. Further clarification may emerge from phase 3 trials.
Of note, a 2023 study of 44 radiation and medical oncologists at 2 Harvard Medical School-affiliated hospitals found that for synchronous OMD, 50.0% of medical oncologists and 5.3% (P < .01) of radiation oncologists recommended systemic treatment, suggesting a greater divergence in approach than found in this study.20
Limitations
The response rate of 17.0% raised a potential for selection bias, but this rate is expected for a nonincentivized medical survey. A study by the American Board of Internal Medicine with 11 surveys and 6 weekly email contacts only generated a 23.7% response rate, while another study among physicians demonstrated a 4.5% response rate for email-based contact and 11.8% for mail-based contact.21,22 We could have asked participants questions regarding demographics and geography to ensure the survey represented a diverse sample of the medical community, although additional questions would likely suppress the response rate. Additional data collection about respondents may elucidate the rationale for differences in their responses, especially between the specialties. In a planned subsequent survey in several years, the question on the number of lesions that qualifies as OMD may be amended to reflect the context and dosimetry for the maximal number of metastases constituting OMD; the joint ESTRO-ASTRO consensus defined OMD as 1 to 5 metastatic lesions, but in which all metastatic sites must be safely treatable.12 Also, fewer example cases could be included to simplify the survey and boost response rates. A future survey may ask about the timing of SBRT and systemic therapy, and whether SBRT can safely delay systemic therapy.
Conclusions
Survey results demonstrated significant confidence among both radiation oncologists and medical oncologists that local RT for OMD improves outcomes, which is encouraging and a reflection of the recent evidence-based paradigm shift in viewing metastatic disease as a spectrum. However, there is a difference between radiation oncologists and medical oncologists in how they define OMD, and preferred treatment of the sample cases presented revealed nuanced differences by specialty. Close collaboration with radiation oncologists influences the belief of medical oncologists in the beneficial role of RT for OMD. As more phase 3 data for OMD local treatments emerge, additional investigation is needed on how beliefs and practice patterns evolve among radiation and medical oncologists.
- Barney JD, Churchill EJ. Adenocarcinoma of the kidney with metastasis to the lung. J Urology. 1939.
- Hellman S, Weichselbaum RR. Oligometastases. J Clin Oncol. 1995;13(1):8-10. doi:10.1200/JCO.1995.13.1.8
- Ruers T, Punt C, Van Coevorden F, et al. Radiofrequency ablation combined with systemic treatment versus systemic treatment alone in patients with non-resectable colorectal liver metastases: a randomized EORTC Intergroup phase II study (EORTC 4004). Ann Oncol. 2012;23(10):2619-2626. doi:10.1093/annonc/mds053
- Palma DA, Olson R, Harrow S, et al. Stereotactic ablative radiotherapy for the comprehensive treatment of oligometastatic cancers: long-term results of the SABR-COMET phase II randomized trial. J Clin Oncol. 2020;38(25):2830- 2838. doi:10.1200/JCO.20.00818
- Gomez DR, Tang C, Zhang J, et al. Local consolidative therapy vs. maintenance therapy or observation for patients with oligometastatic non-small-cell lung cancer: long-term results of a multi-institutional, phase II, randomized study. J Clin Oncol. 2019;37(18):1558-1565. doi:10.1200/JCO.19.00201
- Iyengar P, Wardak Z, Gerber DE, et al. Consolidative radiotherapy for limited metastatic non-small-cell lung cancer: a phase 2 randomized clinical trial. JAMA Oncol. 2018;4(1):e173501. doi:10.1001/jamaoncol.2017.3501
- Phillips R, Shi WY, Deek M, et al. Outcomes of observation vs stereotactic ablative radiation for oligometastatic prostate cancer: the ORIOLE phase 2 randomized clinical trial. JAMA Oncol. 2020;6(5):650-659. doi:10.1001/jamaoncol.2020.0147
- Wang XS, Bai YF, Verma V, et al. Randomized trial of first-line tyrosine kinase inhibitor with or without radiotherapy for synchronous oligometastatic EGFR-mutated NSCLC. J Natl Cancer Inst 2023;115(6):742-748. doi:10.1093/jnci/djac015
- Tang C, Sherry AD, Haymaker C, et al. Addition of metastasis- directed therapy to intermittent hormone therapy for oligometastatic prostate cancer (EXTEND): a multicenter, randomized phase II trial. Am Soc Radiat Oncol Annu Meet. 2023;9(6):825-834. doi:10.1001/jamaoncol.2023.0161
- Chmura SJ, Winter KA, Woodward WA, et al. NRG-BR002: a phase IIR/III trial of standard of care systemic therapy with or without stereotactic body radiotherapy (SBRT) and/or surgical resection (SR) for newly oligometastatic breast cancer (NCT02364557). J Clin Oncol. 2022;40:1007. doi:10.1200/JCO.2022.40.16_suppl.1007
- Baker S, Lechner L, Liu M, et al. Upfront versus delayed systemic therapy in patients with oligometastatic cancer treated with SABR in the phase 2 SABR-5 trial. Int J Radiat Oncol Biol Phys. 2024;118(5):1497-1506. doi:10.1016/j.ijrobp.2023.11.007
- Lievens Y, Guckenberger M, Gomez D, et al. Defining oligometastatic disease from a radiation oncology perspective: an ESTRO-ASTRO consensus document. Radiother Oncol. 2020;148:157-166. doi:10.1016/j.radonc.2020.04.003
- Olson R, Mathews L, Liu M, et al. Stereotactic ablative radiotherapy for the comprehensive treatment of 1-3 oligometastatic tumors (SABR-COMET-3): study protocol for a randomized phase III trial. BMC Cancer. 2020;20(1):380. doi:10.1186/s12885-020-06876-4
- Palma DA, Olson R, Harrow S, et al. Stereotactic ablative radiotherapy for the comprehensive treatment of 4-10 oligometastatic tumors (SABR-COMET-10): study protocol for a randomized phase III trial. BMC Cancer. 2019;19(1):816. doi:10.1186/s12885-019-5977-6
- Bauman GS, Corkum MT, Fakir H, et al. Ablative radiation therapy to restrain everything safely treatable (ARREST): study protocol for a phase I trial treating polymetastatic cancer with stereotactic radiotherapy. BMC Cancer. 2021;21(1):405. doi:10.1186/s12885-021-08136-5
- Ost P, Reynders D, Decaestecker K, et al. Surveillance or metastasis-directed therapy for oligometastatic prostate cancer recurrence (STOMP): five-year results of a randomized phase II trial. J Clin Oncol. 2020;38:suppl.
- Solanki AA, Campbell D, Carlson K, et al. Veterans Affairs seamless phase II/III randomized trial of standard systemic therapy with or without PET-directed local therapy for oligometastatic prostate cancer (VA STARPORT). J Clin Oncol. 2024;42:16.
- McDonald F, Guckenberger M, Popat S. EP08.03-005 HALT – Targeted therapy with or without dose-intensified radiotherapy in oligo-progressive disease in oncogene addicted lung tumours. J Thor Oncol. 2022;17:S492.
- Ludmir EB, Sherry AD, Fellman BM, et al. Addition of metastasis- directed therapy to systemic therapy for oligometastatic pancreatic ductal adenocarcinoma (EXTEND): a multicenter, randomized phase II trial. J Clin Oncol. 2024;42(32):3795-3805. doi:10.1200/JCO.24.00081
- Cho HL, Balboni T, Christ SB, et al. Is oligometastatic cancer curable? A survey of oncologist perspectives, decision making, and communication. Adv Radiat Oncol. 2023;8(5):101221. doi:10.1016/j.adro.2023.101221
- Barnhart BJ, Reddy SG, Arnold GK. Remind me again: physician response to web surveys: the effect of email reminders across 11 opinion survey efforts at the American Board of Internal Medicine from 2017 to 2019. Eval Health Prof. 2021;44(3):245-259. doi:10.1177/01632787211019445
- Murphy CC, Lee SJC, Geiger AM, et al. A randomized trial of mail and email recruitment strategies for a physician survey on clinical trial accrual. BMC Med Res Methodol. 2020;20(1):123. doi:10.1186/s12874-020-01014-x
- Barney JD, Churchill EJ. Adenocarcinoma of the kidney with metastasis to the lung. J Urology. 1939.
- Hellman S, Weichselbaum RR. Oligometastases. J Clin Oncol. 1995;13(1):8-10. doi:10.1200/JCO.1995.13.1.8
- Ruers T, Punt C, Van Coevorden F, et al. Radiofrequency ablation combined with systemic treatment versus systemic treatment alone in patients with non-resectable colorectal liver metastases: a randomized EORTC Intergroup phase II study (EORTC 4004). Ann Oncol. 2012;23(10):2619-2626. doi:10.1093/annonc/mds053
- Palma DA, Olson R, Harrow S, et al. Stereotactic ablative radiotherapy for the comprehensive treatment of oligometastatic cancers: long-term results of the SABR-COMET phase II randomized trial. J Clin Oncol. 2020;38(25):2830- 2838. doi:10.1200/JCO.20.00818
- Gomez DR, Tang C, Zhang J, et al. Local consolidative therapy vs. maintenance therapy or observation for patients with oligometastatic non-small-cell lung cancer: long-term results of a multi-institutional, phase II, randomized study. J Clin Oncol. 2019;37(18):1558-1565. doi:10.1200/JCO.19.00201
- Iyengar P, Wardak Z, Gerber DE, et al. Consolidative radiotherapy for limited metastatic non-small-cell lung cancer: a phase 2 randomized clinical trial. JAMA Oncol. 2018;4(1):e173501. doi:10.1001/jamaoncol.2017.3501
- Phillips R, Shi WY, Deek M, et al. Outcomes of observation vs stereotactic ablative radiation for oligometastatic prostate cancer: the ORIOLE phase 2 randomized clinical trial. JAMA Oncol. 2020;6(5):650-659. doi:10.1001/jamaoncol.2020.0147
- Wang XS, Bai YF, Verma V, et al. Randomized trial of first-line tyrosine kinase inhibitor with or without radiotherapy for synchronous oligometastatic EGFR-mutated NSCLC. J Natl Cancer Inst 2023;115(6):742-748. doi:10.1093/jnci/djac015
- Tang C, Sherry AD, Haymaker C, et al. Addition of metastasis- directed therapy to intermittent hormone therapy for oligometastatic prostate cancer (EXTEND): a multicenter, randomized phase II trial. Am Soc Radiat Oncol Annu Meet. 2023;9(6):825-834. doi:10.1001/jamaoncol.2023.0161
- Chmura SJ, Winter KA, Woodward WA, et al. NRG-BR002: a phase IIR/III trial of standard of care systemic therapy with or without stereotactic body radiotherapy (SBRT) and/or surgical resection (SR) for newly oligometastatic breast cancer (NCT02364557). J Clin Oncol. 2022;40:1007. doi:10.1200/JCO.2022.40.16_suppl.1007
- Baker S, Lechner L, Liu M, et al. Upfront versus delayed systemic therapy in patients with oligometastatic cancer treated with SABR in the phase 2 SABR-5 trial. Int J Radiat Oncol Biol Phys. 2024;118(5):1497-1506. doi:10.1016/j.ijrobp.2023.11.007
- Lievens Y, Guckenberger M, Gomez D, et al. Defining oligometastatic disease from a radiation oncology perspective: an ESTRO-ASTRO consensus document. Radiother Oncol. 2020;148:157-166. doi:10.1016/j.radonc.2020.04.003
- Olson R, Mathews L, Liu M, et al. Stereotactic ablative radiotherapy for the comprehensive treatment of 1-3 oligometastatic tumors (SABR-COMET-3): study protocol for a randomized phase III trial. BMC Cancer. 2020;20(1):380. doi:10.1186/s12885-020-06876-4
- Palma DA, Olson R, Harrow S, et al. Stereotactic ablative radiotherapy for the comprehensive treatment of 4-10 oligometastatic tumors (SABR-COMET-10): study protocol for a randomized phase III trial. BMC Cancer. 2019;19(1):816. doi:10.1186/s12885-019-5977-6
- Bauman GS, Corkum MT, Fakir H, et al. Ablative radiation therapy to restrain everything safely treatable (ARREST): study protocol for a phase I trial treating polymetastatic cancer with stereotactic radiotherapy. BMC Cancer. 2021;21(1):405. doi:10.1186/s12885-021-08136-5
- Ost P, Reynders D, Decaestecker K, et al. Surveillance or metastasis-directed therapy for oligometastatic prostate cancer recurrence (STOMP): five-year results of a randomized phase II trial. J Clin Oncol. 2020;38:suppl.
- Solanki AA, Campbell D, Carlson K, et al. Veterans Affairs seamless phase II/III randomized trial of standard systemic therapy with or without PET-directed local therapy for oligometastatic prostate cancer (VA STARPORT). J Clin Oncol. 2024;42:16.
- McDonald F, Guckenberger M, Popat S. EP08.03-005 HALT – Targeted therapy with or without dose-intensified radiotherapy in oligo-progressive disease in oncogene addicted lung tumours. J Thor Oncol. 2022;17:S492.
- Ludmir EB, Sherry AD, Fellman BM, et al. Addition of metastasis- directed therapy to systemic therapy for oligometastatic pancreatic ductal adenocarcinoma (EXTEND): a multicenter, randomized phase II trial. J Clin Oncol. 2024;42(32):3795-3805. doi:10.1200/JCO.24.00081
- Cho HL, Balboni T, Christ SB, et al. Is oligometastatic cancer curable? A survey of oncologist perspectives, decision making, and communication. Adv Radiat Oncol. 2023;8(5):101221. doi:10.1016/j.adro.2023.101221
- Barnhart BJ, Reddy SG, Arnold GK. Remind me again: physician response to web surveys: the effect of email reminders across 11 opinion survey efforts at the American Board of Internal Medicine from 2017 to 2019. Eval Health Prof. 2021;44(3):245-259. doi:10.1177/01632787211019445
- Murphy CC, Lee SJC, Geiger AM, et al. A randomized trial of mail and email recruitment strategies for a physician survey on clinical trial accrual. BMC Med Res Methodol. 2020;20(1):123. doi:10.1186/s12874-020-01014-x
Radiation and Medical Oncology Perspectives on Oligometastatic Disease Treatment
Radiation and Medical Oncology Perspectives on Oligometastatic Disease Treatment
Assessing the Impact of Antidepressants on Cancer Treatment: A Retrospective Analysis of 14 Antineoplastic Agents
Assessing the Impact of Antidepressants on Cancer Treatment: A Retrospective Analysis of 14 Antineoplastic Agents
Cancer patients experience depression at rates > 5 times that of the general population.1-11 Despite an increase in palliative care use, depression rates continued to rise.2-4 Between 5% to 16% of outpatients, 4% to 14% of inpatients, and up to 49% of patients receiving palliative care experience depression.5 This issue also impacts families and caregivers.1 A 2021 meta-analysis found that 23% of active military personnel and 20% of veterans experience depression.11
Antidepressants approved by the US Food and Drug Administration (FDA) target the serotonin, norepinephrine, or dopamine systems and include boxed warnings about an increased risk of suicidal thoughts in adults aged 18 to 24 years.12,13 These medications are categorized into several classes: monoamine oxidase inhibitors (MAOIs), tricyclic antidepressants (TCAs), tetracyclic antidepressants (TeCAs), norepinephrine-dopamine reuptake inhibitors (NDRIs), selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), serotonin receptor modulators (SRMs), serotonin-melatonin receptor antagonists (SMRAs), and N—methyl-D-aspartate receptor antagonists (NMDARAs).14,15 The first FDA-approved antidepressants, iproniazid (an MAOI) and imipramine (a TCA) laid the foundation for the development of newer classes like SSRIs and SNRIs.15-17
Older antidepressants such as MAOIs and TCAs are used less due to their adverse effects (AEs) and drug interactions. MAOIs, such as iproniazid, selegiline, moclobemide, tranylcypromine, isocarboxazid, and phenelzine, have numerous AEs and drug interactions, making them unsuitable for first- or second-line treatment of depression.14,18-21 TCAs such as doxepin, amitriptyline, nortriptyline, imipramine, desipramine, clomipramine, trimipramine, protriptyline, maprotiline, and amoxapine have a narrow therapeutic index requiring careful monitoring for signs of toxicity such as QRS widening, tremors, or confusion. Despite the issues, TCAs are generally classified as second-line agents for major depressive disorder (MDD). TCAs have off-label uses for migraine prophylaxis, treatment of obsessive-compulsive disorder (OCD), insomnia, and chronic pain management first-line.14,22-29
Newer antidepressants, including TeCAs and NDRIs, are typically more effective, but also come with safety concerns. TeCAs like mirtazapine interact with several medications, including MAOIs, serotonin-increasing drugs, alcohol, cannabidiol, and marijuana. Mirtazapine is FDA-approved for the treatment of moderate to severe depression in adults. It is also used off-label to treat insomnia, panic disorder, posttraumatic stress disorder (PTSD), generalized anxiety disorder (GAD), social anxiety disorder (SAD), headaches, and migraines. Compared to other antidepressants, mirtazapine is effective for all stages of depression and addresses a broad range of related symptoms.14,30-34 NDRIs, such as bupropion, also interact with various medications, including MAOIs, other antidepressants, stimulants, and alcohol. Bupropion is FDA-approved for smoking cessation and to treat depression and SAD. It is also used off-label for depression- related bipolar disorder or sexual dysfunction, attention-deficit/hyperactivity disorder (ADHD), and obesity.14,35-42
SSRIs, SNRIs, and SRMs should be used with caution. SSRIs such as sertraline, citalopram, escitalopram, fluoxetine, paroxetine, and fluvoxamine are first-line treatments for depression and various psychiatric disorders due to their safety and efficacy. Common AEs of SSRIs include sexual dysfunction, sleep disturbances, weight changes, and gastrointestinal (GI) issues. SSRIs can prolong the QT interval, posing a risk of life-threatening arrhythmia, and may interact with other medications, necessitating treatment adjustments. The FDA approved SSRIs for MDD, GAD, bulimia nervosa, bipolar depression, OCD, panic disorder, premenstrual dysphoric disorder, treatment-resistant depression, PTSD, and SAD. Off-label uses include binge eating disorder, body dysmorphic disorder, fibromyalgia, premature ejaculation, paraphilias, autism, Raynaud phenomenon, and vasomotor symptoms associated with menopause. Among SSRIs, sertraline and escitalopram are noted for their effectiveness and tolerability.14,43-53
SNRIs, including duloxetine, venlafaxine, desvenlafaxine, milnacipran, and levomilnacipran, may increase bleeding risk, especially when taken with blood thinners. They can also elevate blood pressure, which may worsen if combined with stimulants. SNRIs may interact with other medications that affect serotonin levels, increasing the risk of serotonin syndrome when taken with triptans, pain medications, or other antidepressants.14 Desvenlafaxine has been approved by the FDA (but not by the European Medicines Agency).54-56 Duloxetine is FDA-approved for the treatment of depression, neuropathic pain, anxiety disorders, fibromyalgia, and musculoskeletal disorders. It is used off-label to treat chemotherapy-induced peripheral neuropathy and stress urinary incontinence.57-61 Venlafaxine is FDA-approved for depression, SAD, and panic disorder, and is prescribed off-label to treat ADHD, neuropathy, fibromyalgia, cataplexy, and PTSD, either alone or in combination with other medications.62,63 Milnacipran is not approved for MDD; levomilnacipran received approval in 2013.64
SRMs such as trazodone, nefazodone, vilazodone, and vortioxetine also function as serotonin reuptake inhibitors.14,15 Trazodone is FDA-approved for MDD. It has been used off-label to treat anxiety, Alzheimer disease, substance misuse, bulimia nervosa, insomnia, fibromyalgia, and PTSD when first-line SSRIs are ineffective. A notable AE of trazodone is orthostatic hypotension, which can lead to dizziness and increase the risk of falls, especially in geriatric patients.65-70 Nefazodone was discontinued in Europe in 2003 due to rare cases of liver toxicity but remains available in the US.71-74 Vilazodone and vortioxetine are FDA-approved.
The latest classes of antidepressants include SMRAs and NMDARAs.14 Agomelatine, an SMRA, was approved in Europe in 2009 but rejected by the FDA in 2011 due to liver toxicity.75 NMDARAs like esketamine and a combination of dextromethorphan and bupropion received FDA approval in 2019 and 2022, respectively.76,77
This retrospective study analyzes noncancer drugs used during systemic chemotherapy based on a dataset of 14 antineoplastic agents. It sought to identify the most dispensed noncancer drug groups, discuss findings, compare patients with and without antidepressant prescriptions, and examine trends in antidepressant use from 2002 to 2023. This analysis expands on prior research.78-81
Methods
The Walter Reed National Military Medical Center Institutional Review Board approved the study protocol and ensured compliance with the Health Insurance Portability and Accountability Act as an exempt protocol. The Joint Pathology Center (JPC) of the US Department of Defense (DoD) Cancer Registry Program and Military Health System (MHS) data experts from the Comprehensive Ambulatory/Professional Encounter Record (CAPER) and Pharmacy Data Transaction Service (PDTS) provided data for the analysis.
Data Sources
The JPC DoD Cancer Registry Program contains data from 1998 to 2024. CAPER and PDTS are part of the MHS Data Repository/Management Analysis and Reporting Tool database. Each observation in CAPER represents an ambulatory encounter at a military treatment facility (MTF). CAPER records are available from 2003 to 2024. PDTS records are available from 2002 to 2004. Each observation in PDTS represents a prescription filled for an MHS beneficiary, excluding those filled at international civilian pharmacies and inpatient pharmacy prescriptions.
This cross-sectional analysis requested data extraction for specific cancer drugs from the DoD Cancer Registry, focusing on treatment details, diagnosis dates, patient demographics, and physicians’ comments on AEs. After identifying patients, CAPER was used to identify additional health conditions. PDTS was used to compile a list of prescription medications filled during systemic cancer treatment or < 2 years postdiagnosis.
The 2016 Surveillance, Epidemiology, and End Results Program Coding and Staging Manual and International Classification of Diseases for Oncology, 3rd edition, 1st revision, were used to decode disease and cancer types.82,83 Data sorting and analysis were performed using Microsoft Excel. The percentage for the total was calculated by using the number of patients or data available within the subgroup divided by the total number of patients or data variables. To compare the mean number of dispensed antidepressants to those without antidepressants, a 2-tailed, 2-sample z test was used to calculate the P value and determine statistical significance (P < .05) using socscistatistics.com.
Data were extracted 3 times between 2021 and 2023. The initial 2021 protocol focused on erlotinib and gefitinib. A modified protocol in 2022 added paclitaxel, cisplatin, docetaxel, pemetrexed, and crizotinib; further modification in 2023 included 8 new antineoplastic agents and 2 anticoagulants. Sotorasib has not been prescribed in the MHS, and JPC lacks records for noncancer drugs. The 2023 dataset comprised 2210 patients with cancer treated with 14 antineoplastic agents; 2104 had documented diagnoses and 2113 had recorded prescriptions. Data for erlotinib, gefitinib, and paclitaxel have been published previously.78,79
Results
Of 2113 patients with recorded prescriptions, 1297 patients (61.4%) received 109 cancer drugs, including 96 antineoplastics, 7 disease-modifying antirheumatic agents, 4 biologic response modifiers, and 2 calcitonin gene-related peptides. Fourteen antineoplastic agents had complete data from JPC, while others were noted for combination therapies or treatment switches from the PDTS (Table 1). Seventy-six cancer drugs were prescribed with antidepressants in 489 patients (eAppendix).

The JPC provided 2242 entries for 2210 patients, ranging in age from 2 months to 88 years (mean, 56 years), documenting treatment from September 1988 to January 2023. Thirty-two patients had duplicate entries due to multiple cancer locations or occurrences. Of the 2242 patients, 1541 (68.7%) were aged > 50 years, 975 patients (43.5%) had cancers that were stage III or IV, and 1267 (56.5%) had cancers that were stage 0, I, II, or not applicable/unknown. There were 51 different types of cancer: breast, lung, testicular, endometrial, and ovarian were most common (n ≥ 100 patients). Forty-two cancer types were documented among 750 patients prescribed antidepressants (Table 2).

The CAPER database recorded 8882 unique diagnoses for 2104 patients, while PDTS noted 1089 unique prescriptions within 273 therapeutic codes for 2113 patients. Nine therapeutic codes (opiate agonists, adrenals, cathartics-laxatives, nonsteroidal anti-inflammatory agents, antihistamines for GI conditions, 5-HT3 receptor antagonists, analgesics and antipyretic miscellanea, antineoplastic agents, and proton-pump inhibitors) and 8 drugs (dexamethasone, prochlorperazine, ondansetron, docusate, acetaminophen, ibuprofen, oxycodone, and polyethylene glycol 3350) were associated with > 1000 patients (≥ 50%). Patients had between 1 and 275 unique health conditions and filled 1 to 108 prescriptions. The mean (SD) number of diagnoses and prescriptions was 50 (28) and 29 (12), respectively. Of the 273 therapeutic codes, 30 groups were analyzed, with others categorized into miscellaneous groups such as lotions, vaccines, and devices. Significant differences in mean number of prescriptions were found for patients taking antidepressants compared to those not (P < .05), except for anticonvulsants and antipsychotics (P = .12 and .09, respectively) (Table 3).

Antidepressants
Of the 2113 patients with recorded prescriptions, 750 (35.5%) were dispensed 17 different antidepressants. Among these 17 antidepressants, 183 (8.7%) patients received duloxetine, 158 (7.5%) received venlafaxine, 118 (5.6%) received trazodone, and 107 (5.1%) received sertraline (Figure 1, Table 4). Of the 750 patients, 509 (67.9%) received 1 antidepressant, 168 (22.4%) received 2, 60 (8.0%) received 3, and 13 (1.7%) received > 3. Combinations varied, but only duloxetine and trazodone were prescribed to > 10 patients.



Antidepressants were prescribed annually at an overall mean (SD) rate of 23% (5%) from 2003 to 2022 (Figure 2). Patients on antidepressants during systemic therapy had a greater number of diagnosed medical conditions and received more prescription medications compared to those not taking antidepressants (P < .001) (Figure 3). The 745 patients taking antidepressants in CAPER data had between 1 and 275 diagnosed medical issues, with a mean (SD) of 55 (31) vs a range of 1 to 209 and a mean (SD) of 46 (26) for the 1359 patients not taking antidepressants. The 750 patients on antidepressants in PDTS data had between 8 and 108 prescriptions dispensed, with a mean (SD) of 32 (12), vs a range of 1 to 65 prescriptions and a mean (SD) of 29 (12) for 1363 patients not taking antidepressants.


Discussion
The JPC DoD Cancer Registry includes information on cancer types, stages, treatment regimens, and physicians’ notes, while noncancer drugs are sourced from the PDTS database. The pharmacy uses a different documentation system, leading to varied classifications.
Database reliance has its drawbacks. For example, megestrol is coded as a cancer drug, although it’s primarily used for endometrial or gynecologic cancers. Many drugs have multiple therapeutic codes assigned to them, including 10 antineoplastic agents: diclofenac, Bacillus Calmette-Guérin (BCG), megestrol acetate, tamoxifen, anastrozole, letrozole, leuprolide, goserelin, degarelix, and fluorouracil. Diclofenac, BCG, and mitomycin have been repurposed for cancer treatment.84-87 From 2003 to 2023, diclofenac was prescribed to 350 patients for mild-to-moderate pain, with only 2 patients receiving it for cancer in 2018. FDA-approved for bladder cancer in 1990, BCG was prescribed for cancer treatment for 1 patient in 2021 after being used for vaccines between 2003 and 2018. Tamoxifen, used for hormone receptor-positive breast cancer from 2004 to 2017 with 53 patients, switched to estrogen agonist-antagonists from 2017 to 2023 with 123 patients. Only a few of the 168 patients were prescribed tamoxifen using both codes.88-91 Anastrozole and letrozole were coded as antiestrogens for 7 and 18 patients, respectively, while leuprolide and goserelin were coded as gonadotropins for 59 and 18 patients. Degarelix was coded as antigonadotropins, fluorouracil as skin and mucous membrane agents miscellaneous, and megestrol acetate as progestins for 7, 6, and 3 patients, respectively. Duloxetine was given to 186 patients, primarily for depression from 2005 to 2023, with 7 patients treated for fibromyalgia from 2022 to 2023.
Antidepressants Observed
Tables 1 and 5 provide insight into the FDA approval of 14 antineoplastics and antidepressants and their CYP metabolic pathways.92-122 In Table 4, the most prescribed antidepressant classes are SNRIs, SRMs, SSRIs, TeCAs, NDRIs, and TCAs. This trend highlights a preference for newer medications with weak CYP inhibition. A total of 349 patients were prescribed SSRIs, 343 SNRIs, 119 SRMs, 109 TCAs, 83 TeCAs, and 79 NDRIs. MAOIs, SMRAs, and NMDARAs were not observed in this dataset. While there are instances of dextromethorphan-bupropion and sertraline-escitalopram being dispensed together, it remains unclear whether these were NMDARA combinations.
Among the 14 specific antineoplastic agents, 10 are metabolized by CYP isoenzymes, primarily CYP3A4. Duloxetine neither inhibits nor is metabolized by CYP3A4, a reason it is often recommended, following venlafaxine.
Both duloxetine and venlafaxine are used off-label for chemotherapy-induced peripheral neuropathy related to paclitaxel and docetaxel. According to the CYP metabolized pathway, duloxetine tends to have more favorable DDIs than venlafaxine. In PDTS data, 371 patients were treated with paclitaxel and 180 with docetaxel, with respective antidepressant prescriptions of 156 and 70. Of the 156 patients dispensed paclitaxel, 62 (40%) were dispensed with duloxetine compared to 43 (28%) with venlafaxine. Of the 70 patients dispensed docetaxel, 23 (33%) received duloxetine vs 24 (34%) with venlafaxine.
Of 85 patients prescribed duloxetine, 75 received it with either paclitaxel or docetaxel (5 received both). Five patients had documented AEs (1 neuropathy related). Of 67 patients prescribed venlafaxine, 66 received it with either paclitaxel or docetaxel. Two patients had documented AEs (1 was neuropathy related, the same patient who received duloxetine). Of the 687 patients treated with paclitaxel and 337 with docetaxel in all databases, 4 experienced neuropathic AEs from both medications.79
Antidepressants can increase the risk of bleeding, especially when combined with blood thinners, and may elevate blood pressure, particularly alongside stimulants. Of the 554 patients prescribed 9 different anticoagulants, enoxaparin, apixaban, and rivaroxaban were the most common (each > 100 patients). Among these, 201 patients (36%) received both anticoagulants and antidepressants: duloxetine for 64 patients, venlafaxine for 30, trazodone for 35, and sertraline for 26. There were no data available to assess bleeding rates related to the evaluation of DDIs between these medication classes.
Antidepressants can be prescribed for erectile dysfunction. Of the 148 patients prescribed an antidepressant for erectile dysfunction, duloxetine, trazodone, and mirtazapine were the most common. Antidepressant preferences varied by cancer type. Duloxetine was the only antidepressant used for all types of cancer. Venlafaxine, duloxetine, trazodone, sertraline, and escitalopram were the most prescribed antidepressants for breast cancer, while duloxetine, mirtazapine, citalopram, sertraline, and trazodone were the most prescribed for lung cancer. Sertraline, duloxetine, trazodone, amitriptyline, and escitalopram were most common for testicular cancer. Duloxetine, venlafaxine, trazodone, amitriptyline, and sertraline were the most prescribed for endometrial cancer, while duloxetine, venlafaxine, amitriptyline, citalopram, and sertraline were most prescribed for ovarian cancer.
The broadness of International Statistical Classification of Diseases, Tenth Revision codes made it challenging to identify nondepression diagnoses in the analyzed population. However, if all antidepressants were prescribed to treat depression, service members with cancer exhibited a higher depression rate (35%) than the general population (25%). Of 2104 patients, 191 (9.1%) had mood disorders, and 706 (33.6%) had mental disorders: 346 (49.0%) had 1 diagnosis, and 360 (51.0%) had multiple diagnoses. The percentage of diagnoses varied yearly, with notable drops in 2003, 2007, 2011, 2014, and 2018, and peaks in 2006, 2008, 2013, 2017, and 2022. This fluctuation was influenced by events like the establishment of PDTS in 2002, the 2008 economic recession, a hospital relocation in 2011, the 2014 Ebola outbreak, and the COVID-19 pandemic. Although the number of patients receiving antidepressants increased from 2019 to 2022, the overall percentage of patients receiving them did not significantly change from 2003 to 2022, aligning with previous research.5,125
Many medications have potential uses beyond what is detailed in the prescribing information. Antidepressants can relieve pain, while pain medications may help with depression. Opioids were once thought to effectively treat depression, but this perspective has changed with a greater understanding of their risks, including misuse.126-131 Pain is a severe and often unbearable AE of cancer. Of 2113 patients, 92% received opioids; 34% received both opioids and antidepressants; 2% received only antidepressants; and 7% received neither. This study didn’t clarify whether those on opioids alone recognized their depression or if those on both were aware of their dependence. While SSRIs are generally not addictive, they can lead to physical dependence, and any medication can be abused if not managed properly.132-134
Conclusions
This retrospective study analyzes data from antineoplastic agents used in systemic cancer treatment between 1988 and 2023, with a particular focus on the use of antidepressants. Data on antidepressant prescriptions are incomplete and specific to these agents, which means the findings cannot be generalized to all antidepressants. Hence, the results indicate that patients taking antidepressants had more diagnosed health issues and received more medications compared to patients who were not on these drugs.
This study underscores the need for further research into the effects of antidepressants on cancer treatment, utilizing all data from the DoD Cancer Registry. Future research should explore DDIs between antidepressants and other cancer and noncancer medications, as this study did not assess AE documentation, unlike in studies involving erlotinib, gefitinib, and paclitaxel.78,79 Further investigation is needed to evaluate the impact of discontinuing antidepressant use during cancer treatment. This comprehensive overview provides insights for clinicians to help them make informed decisions regarding the prescription of antidepressants in the context of cancer treatment.
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- Xalkori (crizotinib). Prescribing information. Pfizer Laboratories; 2022. Accessed April 4, 2025. https:// www.accessdata.fda.gov/drugsatfda_docs/label/2022/202570s033lbl.pdf
- Lorbrena (lorlatinib). Prescribing information. Pfizer Laboratories; 2018. Accessed April 14, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/210868s000lbl.pdf
- Alunbrig (brigatinib). Prescribing information. Takeda Pharmaceutical Company; 2020. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/208772s008lbl.pdf
- Rozlytrek (entrectinib). Prescribing information. Genentech, Inc.; 2019. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2019/212725s000lbl.pdf
- Herceptin (trastuzumab). Prescribing information. Genentech, Inc.; 2010. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2010/103792s5250lbl.pdf
- Cybalta (duloxetine). Prescribing information. Eli Lilly and Company; 2017. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2017/021427s049lbl.pdf
- Effexor XR (venlafaxine). Prescribing information. Pfizer Wyeth Pharmaceuticals Inc; 2022. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2022/020699s112lbl.pdf
- Desyrel (trazodone hydrochloride). Prescribing information. Pragma Pharmaceuticals; 2017. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2017/018207s032lbl.pdf
- Sertraline hydrochloride. Prescribing information. Almatica Pharma LLC; 2021. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2021/215133s000lbl.pdf
- Remeron (mirtazapine). Prescribing information. Merck & Co. Inc; 2020. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/020415s029,%20021208s019lbl.pdf
- Celexa (citalopram). Prescribing information. Allergan USA Inc; 2022. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2022/020822s041lbl.pdf
- information. GlaxoSmithKline; 2019. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2022/020358s066lbl.pdf
- Amitriptyline hydrochloride tablet. Prescribing information. Quality Care Products LLC; 2022. Accessed April 4, 2025. https://www.accessdata.fda.gov/spl/data/0f12f50f-7087-46e7-a2e6-356b4c566c9f/0f12f50f-7087-46e7-a2e6-356b4c566c9f.xml
- Lexapro (escitalopram). Prescribing information. AbbVie Inc; 2023. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2023/021323s055,021365s039lbl.pdf
- Fluoxetine. Prescribing information. Edgemont Pharmaceutical, LLC; 2017. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2017/202133s004s005lbl.pdf
- Paxil (paroxetine). Prescribing Information. Apotex Inc; 2021. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2021/020031s077lbl.pdf
- Pamelor (nortriptyline HCl). Prescribing information. Mallinckrodt, Inc; 2012. Accessed April 4, 2025. https:// www.accessdata.fda.gov/drugsatfda_docs/label/2012/018012s029,018013s061lbl.pdf
- Silenor (doxepin). Prescribing information. Currax Pharmaceuticals; 2020. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/022036s006lbl.pdf
- Tofranil-PM (imipramine pamote). Prescribing information. Mallinckrodt, Inc; 2014. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2014/017090s078lbl.pdf
- Norpramin (desipramine hydrochloride). Prescribing information. Sanofi-aventis U.S. LLC; 2014. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2014/014399s069lbl.pdf
- Khedezla (desvenlafaxine). Prescribing information. Osmotical Pharmaceutical US LLC; 2019. Accessed April 4, 2025. https://www.accessdata.fda.gov/drugsatfda_docs/label/2019/204683s006lbl.pdf
- Nefazodone hydrochloride. Prescribing information. Bryant Ranch Prepack; 2022. Accessed April 4, 2025. https://www.accessdata.fda.gov/spl/data/0bd4c34a-4f43-4c84-8b98-1d074cba97d5/0bd4c34a-4f43-4c84-8b98-1d074cba97d5.xml
- Grassi L, Nanni MG, Rodin G, Li M, Caruso R. The use of antidepressants in oncology: a review and practical tips for oncologists. Ann Oncol. 2018;29(1):101-111. doi:10.1093/annonc/mdx526
- Lee E, Park Y, Li D, Rodriguez-Fuguet A, Wang X, Zhang WC. Antidepressant use and lung cancer risk and survival: a meta-analysis of observational studies. Cancer Res Commun. 2023;3(6):1013-1025. doi:10.1158/2767-9764.CRC-23-0003
- Olfson M, Marcus SC. National patterns in antidepressant medication treatment. Arch Gen Psychiatry. 2009;66(8):848 -856. doi:10.1001/archgenpsychiatry.2009.81
- Grattan A, Sullivan MD, Saunders KW, Campbell CI, Von Korff MR. Depression and prescription opioid misuse among chronic opioid therapy recipients with no history of substance abuse. Ann Fam Med. 2012;10(4):304-311. doi:10.1370/afm.1371
- Cowan DT, Wilson-Barnett J, Griffiths P, Allan LG. A survey of chronic noncancer pain patients prescribed opioid analgesics. Pain Med. 2003;4(4):340-351. doi:10.1111/j.1526-4637.2003.03038.x
- Breckenridge J, Clark JD. Patient characteristics associated with opioid versus nonsteroidal anti-inflammatory drug management of chronic low back pain. J Pain. 2003;4(6):344-350. doi:10.1016/s1526-5900(03)00638-2
- Edlund MJ, Martin BC, Devries A, Fan MY, Braden JB, Sullivan MD. Trends in use of opioids for chronic noncancer pain among individuals with mental health and substance use disorders: the TROUP study. Clin J Pain. 2010;26(1):1-8. doi:10.1097/AJP.0b013e3181b99f35
- Sullivan MD, Edlund MJ, Fan MY, DeVries A, Braden JB, Martin BC. Risks for possible and probable opioid misuse among recipients of chronic opioid therapy in commercial and medicaid insurance plans: the TROUP study. Pain. 2010;150(2):332-339. doi:10.1016/j.pain.2010.05.020
- Dunn KM, Saunders KW, Rutter CM, et al. Opioid prescriptions for chronic pain and overdose: a cohort study. Ann Intern Med. 2010;152(2):85-92. doi:10.7326/0003-4819-152-2-201001190-00006
- Haddad P. Do antidepressants have any potential to cause addiction? J Psychopharmacol. 1999;13(3):300- 307. doi:10.1177/026988119901300321
- Lakeview Health Staff. America’s most abused antidepressants. Lakeview Health. January 24, 2004. Accessed April 4, 2025. https://www.lakeviewhealth.com/blog/us-most-abused-antidepressants/
- Greenhouse Treatment Center Editorial Staff. Addiction to antidepressants: is it possible? America Addiction Centers: Greenhouse Treatment Center. Updated April 23, 2024. Accessed April 4, 2025. https://greenhousetreatment.com/prescription-medication/antidepressants/
Cancer patients experience depression at rates > 5 times that of the general population.1-11 Despite an increase in palliative care use, depression rates continued to rise.2-4 Between 5% to 16% of outpatients, 4% to 14% of inpatients, and up to 49% of patients receiving palliative care experience depression.5 This issue also impacts families and caregivers.1 A 2021 meta-analysis found that 23% of active military personnel and 20% of veterans experience depression.11
Antidepressants approved by the US Food and Drug Administration (FDA) target the serotonin, norepinephrine, or dopamine systems and include boxed warnings about an increased risk of suicidal thoughts in adults aged 18 to 24 years.12,13 These medications are categorized into several classes: monoamine oxidase inhibitors (MAOIs), tricyclic antidepressants (TCAs), tetracyclic antidepressants (TeCAs), norepinephrine-dopamine reuptake inhibitors (NDRIs), selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), serotonin receptor modulators (SRMs), serotonin-melatonin receptor antagonists (SMRAs), and N—methyl-D-aspartate receptor antagonists (NMDARAs).14,15 The first FDA-approved antidepressants, iproniazid (an MAOI) and imipramine (a TCA) laid the foundation for the development of newer classes like SSRIs and SNRIs.15-17
Older antidepressants such as MAOIs and TCAs are used less due to their adverse effects (AEs) and drug interactions. MAOIs, such as iproniazid, selegiline, moclobemide, tranylcypromine, isocarboxazid, and phenelzine, have numerous AEs and drug interactions, making them unsuitable for first- or second-line treatment of depression.14,18-21 TCAs such as doxepin, amitriptyline, nortriptyline, imipramine, desipramine, clomipramine, trimipramine, protriptyline, maprotiline, and amoxapine have a narrow therapeutic index requiring careful monitoring for signs of toxicity such as QRS widening, tremors, or confusion. Despite the issues, TCAs are generally classified as second-line agents for major depressive disorder (MDD). TCAs have off-label uses for migraine prophylaxis, treatment of obsessive-compulsive disorder (OCD), insomnia, and chronic pain management first-line.14,22-29
Newer antidepressants, including TeCAs and NDRIs, are typically more effective, but also come with safety concerns. TeCAs like mirtazapine interact with several medications, including MAOIs, serotonin-increasing drugs, alcohol, cannabidiol, and marijuana. Mirtazapine is FDA-approved for the treatment of moderate to severe depression in adults. It is also used off-label to treat insomnia, panic disorder, posttraumatic stress disorder (PTSD), generalized anxiety disorder (GAD), social anxiety disorder (SAD), headaches, and migraines. Compared to other antidepressants, mirtazapine is effective for all stages of depression and addresses a broad range of related symptoms.14,30-34 NDRIs, such as bupropion, also interact with various medications, including MAOIs, other antidepressants, stimulants, and alcohol. Bupropion is FDA-approved for smoking cessation and to treat depression and SAD. It is also used off-label for depression- related bipolar disorder or sexual dysfunction, attention-deficit/hyperactivity disorder (ADHD), and obesity.14,35-42
SSRIs, SNRIs, and SRMs should be used with caution. SSRIs such as sertraline, citalopram, escitalopram, fluoxetine, paroxetine, and fluvoxamine are first-line treatments for depression and various psychiatric disorders due to their safety and efficacy. Common AEs of SSRIs include sexual dysfunction, sleep disturbances, weight changes, and gastrointestinal (GI) issues. SSRIs can prolong the QT interval, posing a risk of life-threatening arrhythmia, and may interact with other medications, necessitating treatment adjustments. The FDA approved SSRIs for MDD, GAD, bulimia nervosa, bipolar depression, OCD, panic disorder, premenstrual dysphoric disorder, treatment-resistant depression, PTSD, and SAD. Off-label uses include binge eating disorder, body dysmorphic disorder, fibromyalgia, premature ejaculation, paraphilias, autism, Raynaud phenomenon, and vasomotor symptoms associated with menopause. Among SSRIs, sertraline and escitalopram are noted for their effectiveness and tolerability.14,43-53
SNRIs, including duloxetine, venlafaxine, desvenlafaxine, milnacipran, and levomilnacipran, may increase bleeding risk, especially when taken with blood thinners. They can also elevate blood pressure, which may worsen if combined with stimulants. SNRIs may interact with other medications that affect serotonin levels, increasing the risk of serotonin syndrome when taken with triptans, pain medications, or other antidepressants.14 Desvenlafaxine has been approved by the FDA (but not by the European Medicines Agency).54-56 Duloxetine is FDA-approved for the treatment of depression, neuropathic pain, anxiety disorders, fibromyalgia, and musculoskeletal disorders. It is used off-label to treat chemotherapy-induced peripheral neuropathy and stress urinary incontinence.57-61 Venlafaxine is FDA-approved for depression, SAD, and panic disorder, and is prescribed off-label to treat ADHD, neuropathy, fibromyalgia, cataplexy, and PTSD, either alone or in combination with other medications.62,63 Milnacipran is not approved for MDD; levomilnacipran received approval in 2013.64
SRMs such as trazodone, nefazodone, vilazodone, and vortioxetine also function as serotonin reuptake inhibitors.14,15 Trazodone is FDA-approved for MDD. It has been used off-label to treat anxiety, Alzheimer disease, substance misuse, bulimia nervosa, insomnia, fibromyalgia, and PTSD when first-line SSRIs are ineffective. A notable AE of trazodone is orthostatic hypotension, which can lead to dizziness and increase the risk of falls, especially in geriatric patients.65-70 Nefazodone was discontinued in Europe in 2003 due to rare cases of liver toxicity but remains available in the US.71-74 Vilazodone and vortioxetine are FDA-approved.
The latest classes of antidepressants include SMRAs and NMDARAs.14 Agomelatine, an SMRA, was approved in Europe in 2009 but rejected by the FDA in 2011 due to liver toxicity.75 NMDARAs like esketamine and a combination of dextromethorphan and bupropion received FDA approval in 2019 and 2022, respectively.76,77
This retrospective study analyzes noncancer drugs used during systemic chemotherapy based on a dataset of 14 antineoplastic agents. It sought to identify the most dispensed noncancer drug groups, discuss findings, compare patients with and without antidepressant prescriptions, and examine trends in antidepressant use from 2002 to 2023. This analysis expands on prior research.78-81
Methods
The Walter Reed National Military Medical Center Institutional Review Board approved the study protocol and ensured compliance with the Health Insurance Portability and Accountability Act as an exempt protocol. The Joint Pathology Center (JPC) of the US Department of Defense (DoD) Cancer Registry Program and Military Health System (MHS) data experts from the Comprehensive Ambulatory/Professional Encounter Record (CAPER) and Pharmacy Data Transaction Service (PDTS) provided data for the analysis.
Data Sources
The JPC DoD Cancer Registry Program contains data from 1998 to 2024. CAPER and PDTS are part of the MHS Data Repository/Management Analysis and Reporting Tool database. Each observation in CAPER represents an ambulatory encounter at a military treatment facility (MTF). CAPER records are available from 2003 to 2024. PDTS records are available from 2002 to 2004. Each observation in PDTS represents a prescription filled for an MHS beneficiary, excluding those filled at international civilian pharmacies and inpatient pharmacy prescriptions.
This cross-sectional analysis requested data extraction for specific cancer drugs from the DoD Cancer Registry, focusing on treatment details, diagnosis dates, patient demographics, and physicians’ comments on AEs. After identifying patients, CAPER was used to identify additional health conditions. PDTS was used to compile a list of prescription medications filled during systemic cancer treatment or < 2 years postdiagnosis.
The 2016 Surveillance, Epidemiology, and End Results Program Coding and Staging Manual and International Classification of Diseases for Oncology, 3rd edition, 1st revision, were used to decode disease and cancer types.82,83 Data sorting and analysis were performed using Microsoft Excel. The percentage for the total was calculated by using the number of patients or data available within the subgroup divided by the total number of patients or data variables. To compare the mean number of dispensed antidepressants to those without antidepressants, a 2-tailed, 2-sample z test was used to calculate the P value and determine statistical significance (P < .05) using socscistatistics.com.
Data were extracted 3 times between 2021 and 2023. The initial 2021 protocol focused on erlotinib and gefitinib. A modified protocol in 2022 added paclitaxel, cisplatin, docetaxel, pemetrexed, and crizotinib; further modification in 2023 included 8 new antineoplastic agents and 2 anticoagulants. Sotorasib has not been prescribed in the MHS, and JPC lacks records for noncancer drugs. The 2023 dataset comprised 2210 patients with cancer treated with 14 antineoplastic agents; 2104 had documented diagnoses and 2113 had recorded prescriptions. Data for erlotinib, gefitinib, and paclitaxel have been published previously.78,79
Results
Of 2113 patients with recorded prescriptions, 1297 patients (61.4%) received 109 cancer drugs, including 96 antineoplastics, 7 disease-modifying antirheumatic agents, 4 biologic response modifiers, and 2 calcitonin gene-related peptides. Fourteen antineoplastic agents had complete data from JPC, while others were noted for combination therapies or treatment switches from the PDTS (Table 1). Seventy-six cancer drugs were prescribed with antidepressants in 489 patients (eAppendix).

The JPC provided 2242 entries for 2210 patients, ranging in age from 2 months to 88 years (mean, 56 years), documenting treatment from September 1988 to January 2023. Thirty-two patients had duplicate entries due to multiple cancer locations or occurrences. Of the 2242 patients, 1541 (68.7%) were aged > 50 years, 975 patients (43.5%) had cancers that were stage III or IV, and 1267 (56.5%) had cancers that were stage 0, I, II, or not applicable/unknown. There were 51 different types of cancer: breast, lung, testicular, endometrial, and ovarian were most common (n ≥ 100 patients). Forty-two cancer types were documented among 750 patients prescribed antidepressants (Table 2).

The CAPER database recorded 8882 unique diagnoses for 2104 patients, while PDTS noted 1089 unique prescriptions within 273 therapeutic codes for 2113 patients. Nine therapeutic codes (opiate agonists, adrenals, cathartics-laxatives, nonsteroidal anti-inflammatory agents, antihistamines for GI conditions, 5-HT3 receptor antagonists, analgesics and antipyretic miscellanea, antineoplastic agents, and proton-pump inhibitors) and 8 drugs (dexamethasone, prochlorperazine, ondansetron, docusate, acetaminophen, ibuprofen, oxycodone, and polyethylene glycol 3350) were associated with > 1000 patients (≥ 50%). Patients had between 1 and 275 unique health conditions and filled 1 to 108 prescriptions. The mean (SD) number of diagnoses and prescriptions was 50 (28) and 29 (12), respectively. Of the 273 therapeutic codes, 30 groups were analyzed, with others categorized into miscellaneous groups such as lotions, vaccines, and devices. Significant differences in mean number of prescriptions were found for patients taking antidepressants compared to those not (P < .05), except for anticonvulsants and antipsychotics (P = .12 and .09, respectively) (Table 3).

Antidepressants
Of the 2113 patients with recorded prescriptions, 750 (35.5%) were dispensed 17 different antidepressants. Among these 17 antidepressants, 183 (8.7%) patients received duloxetine, 158 (7.5%) received venlafaxine, 118 (5.6%) received trazodone, and 107 (5.1%) received sertraline (Figure 1, Table 4). Of the 750 patients, 509 (67.9%) received 1 antidepressant, 168 (22.4%) received 2, 60 (8.0%) received 3, and 13 (1.7%) received > 3. Combinations varied, but only duloxetine and trazodone were prescribed to > 10 patients.



Antidepressants were prescribed annually at an overall mean (SD) rate of 23% (5%) from 2003 to 2022 (Figure 2). Patients on antidepressants during systemic therapy had a greater number of diagnosed medical conditions and received more prescription medications compared to those not taking antidepressants (P < .001) (Figure 3). The 745 patients taking antidepressants in CAPER data had between 1 and 275 diagnosed medical issues, with a mean (SD) of 55 (31) vs a range of 1 to 209 and a mean (SD) of 46 (26) for the 1359 patients not taking antidepressants. The 750 patients on antidepressants in PDTS data had between 8 and 108 prescriptions dispensed, with a mean (SD) of 32 (12), vs a range of 1 to 65 prescriptions and a mean (SD) of 29 (12) for 1363 patients not taking antidepressants.


Discussion
The JPC DoD Cancer Registry includes information on cancer types, stages, treatment regimens, and physicians’ notes, while noncancer drugs are sourced from the PDTS database. The pharmacy uses a different documentation system, leading to varied classifications.
Database reliance has its drawbacks. For example, megestrol is coded as a cancer drug, although it’s primarily used for endometrial or gynecologic cancers. Many drugs have multiple therapeutic codes assigned to them, including 10 antineoplastic agents: diclofenac, Bacillus Calmette-Guérin (BCG), megestrol acetate, tamoxifen, anastrozole, letrozole, leuprolide, goserelin, degarelix, and fluorouracil. Diclofenac, BCG, and mitomycin have been repurposed for cancer treatment.84-87 From 2003 to 2023, diclofenac was prescribed to 350 patients for mild-to-moderate pain, with only 2 patients receiving it for cancer in 2018. FDA-approved for bladder cancer in 1990, BCG was prescribed for cancer treatment for 1 patient in 2021 after being used for vaccines between 2003 and 2018. Tamoxifen, used for hormone receptor-positive breast cancer from 2004 to 2017 with 53 patients, switched to estrogen agonist-antagonists from 2017 to 2023 with 123 patients. Only a few of the 168 patients were prescribed tamoxifen using both codes.88-91 Anastrozole and letrozole were coded as antiestrogens for 7 and 18 patients, respectively, while leuprolide and goserelin were coded as gonadotropins for 59 and 18 patients. Degarelix was coded as antigonadotropins, fluorouracil as skin and mucous membrane agents miscellaneous, and megestrol acetate as progestins for 7, 6, and 3 patients, respectively. Duloxetine was given to 186 patients, primarily for depression from 2005 to 2023, with 7 patients treated for fibromyalgia from 2022 to 2023.
Antidepressants Observed
Tables 1 and 5 provide insight into the FDA approval of 14 antineoplastics and antidepressants and their CYP metabolic pathways.92-122 In Table 4, the most prescribed antidepressant classes are SNRIs, SRMs, SSRIs, TeCAs, NDRIs, and TCAs. This trend highlights a preference for newer medications with weak CYP inhibition. A total of 349 patients were prescribed SSRIs, 343 SNRIs, 119 SRMs, 109 TCAs, 83 TeCAs, and 79 NDRIs. MAOIs, SMRAs, and NMDARAs were not observed in this dataset. While there are instances of dextromethorphan-bupropion and sertraline-escitalopram being dispensed together, it remains unclear whether these were NMDARA combinations.
Among the 14 specific antineoplastic agents, 10 are metabolized by CYP isoenzymes, primarily CYP3A4. Duloxetine neither inhibits nor is metabolized by CYP3A4, a reason it is often recommended, following venlafaxine.
Both duloxetine and venlafaxine are used off-label for chemotherapy-induced peripheral neuropathy related to paclitaxel and docetaxel. According to the CYP metabolized pathway, duloxetine tends to have more favorable DDIs than venlafaxine. In PDTS data, 371 patients were treated with paclitaxel and 180 with docetaxel, with respective antidepressant prescriptions of 156 and 70. Of the 156 patients dispensed paclitaxel, 62 (40%) were dispensed with duloxetine compared to 43 (28%) with venlafaxine. Of the 70 patients dispensed docetaxel, 23 (33%) received duloxetine vs 24 (34%) with venlafaxine.
Of 85 patients prescribed duloxetine, 75 received it with either paclitaxel or docetaxel (5 received both). Five patients had documented AEs (1 neuropathy related). Of 67 patients prescribed venlafaxine, 66 received it with either paclitaxel or docetaxel. Two patients had documented AEs (1 was neuropathy related, the same patient who received duloxetine). Of the 687 patients treated with paclitaxel and 337 with docetaxel in all databases, 4 experienced neuropathic AEs from both medications.79
Antidepressants can increase the risk of bleeding, especially when combined with blood thinners, and may elevate blood pressure, particularly alongside stimulants. Of the 554 patients prescribed 9 different anticoagulants, enoxaparin, apixaban, and rivaroxaban were the most common (each > 100 patients). Among these, 201 patients (36%) received both anticoagulants and antidepressants: duloxetine for 64 patients, venlafaxine for 30, trazodone for 35, and sertraline for 26. There were no data available to assess bleeding rates related to the evaluation of DDIs between these medication classes.
Antidepressants can be prescribed for erectile dysfunction. Of the 148 patients prescribed an antidepressant for erectile dysfunction, duloxetine, trazodone, and mirtazapine were the most common. Antidepressant preferences varied by cancer type. Duloxetine was the only antidepressant used for all types of cancer. Venlafaxine, duloxetine, trazodone, sertraline, and escitalopram were the most prescribed antidepressants for breast cancer, while duloxetine, mirtazapine, citalopram, sertraline, and trazodone were the most prescribed for lung cancer. Sertraline, duloxetine, trazodone, amitriptyline, and escitalopram were most common for testicular cancer. Duloxetine, venlafaxine, trazodone, amitriptyline, and sertraline were the most prescribed for endometrial cancer, while duloxetine, venlafaxine, amitriptyline, citalopram, and sertraline were most prescribed for ovarian cancer.
The broadness of International Statistical Classification of Diseases, Tenth Revision codes made it challenging to identify nondepression diagnoses in the analyzed population. However, if all antidepressants were prescribed to treat depression, service members with cancer exhibited a higher depression rate (35%) than the general population (25%). Of 2104 patients, 191 (9.1%) had mood disorders, and 706 (33.6%) had mental disorders: 346 (49.0%) had 1 diagnosis, and 360 (51.0%) had multiple diagnoses. The percentage of diagnoses varied yearly, with notable drops in 2003, 2007, 2011, 2014, and 2018, and peaks in 2006, 2008, 2013, 2017, and 2022. This fluctuation was influenced by events like the establishment of PDTS in 2002, the 2008 economic recession, a hospital relocation in 2011, the 2014 Ebola outbreak, and the COVID-19 pandemic. Although the number of patients receiving antidepressants increased from 2019 to 2022, the overall percentage of patients receiving them did not significantly change from 2003 to 2022, aligning with previous research.5,125
Many medications have potential uses beyond what is detailed in the prescribing information. Antidepressants can relieve pain, while pain medications may help with depression. Opioids were once thought to effectively treat depression, but this perspective has changed with a greater understanding of their risks, including misuse.126-131 Pain is a severe and often unbearable AE of cancer. Of 2113 patients, 92% received opioids; 34% received both opioids and antidepressants; 2% received only antidepressants; and 7% received neither. This study didn’t clarify whether those on opioids alone recognized their depression or if those on both were aware of their dependence. While SSRIs are generally not addictive, they can lead to physical dependence, and any medication can be abused if not managed properly.132-134
Conclusions
This retrospective study analyzes data from antineoplastic agents used in systemic cancer treatment between 1988 and 2023, with a particular focus on the use of antidepressants. Data on antidepressant prescriptions are incomplete and specific to these agents, which means the findings cannot be generalized to all antidepressants. Hence, the results indicate that patients taking antidepressants had more diagnosed health issues and received more medications compared to patients who were not on these drugs.
This study underscores the need for further research into the effects of antidepressants on cancer treatment, utilizing all data from the DoD Cancer Registry. Future research should explore DDIs between antidepressants and other cancer and noncancer medications, as this study did not assess AE documentation, unlike in studies involving erlotinib, gefitinib, and paclitaxel.78,79 Further investigation is needed to evaluate the impact of discontinuing antidepressant use during cancer treatment. This comprehensive overview provides insights for clinicians to help them make informed decisions regarding the prescription of antidepressants in the context of cancer treatment.
Cancer patients experience depression at rates > 5 times that of the general population.1-11 Despite an increase in palliative care use, depression rates continued to rise.2-4 Between 5% to 16% of outpatients, 4% to 14% of inpatients, and up to 49% of patients receiving palliative care experience depression.5 This issue also impacts families and caregivers.1 A 2021 meta-analysis found that 23% of active military personnel and 20% of veterans experience depression.11
Antidepressants approved by the US Food and Drug Administration (FDA) target the serotonin, norepinephrine, or dopamine systems and include boxed warnings about an increased risk of suicidal thoughts in adults aged 18 to 24 years.12,13 These medications are categorized into several classes: monoamine oxidase inhibitors (MAOIs), tricyclic antidepressants (TCAs), tetracyclic antidepressants (TeCAs), norepinephrine-dopamine reuptake inhibitors (NDRIs), selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), serotonin receptor modulators (SRMs), serotonin-melatonin receptor antagonists (SMRAs), and N—methyl-D-aspartate receptor antagonists (NMDARAs).14,15 The first FDA-approved antidepressants, iproniazid (an MAOI) and imipramine (a TCA) laid the foundation for the development of newer classes like SSRIs and SNRIs.15-17
Older antidepressants such as MAOIs and TCAs are used less due to their adverse effects (AEs) and drug interactions. MAOIs, such as iproniazid, selegiline, moclobemide, tranylcypromine, isocarboxazid, and phenelzine, have numerous AEs and drug interactions, making them unsuitable for first- or second-line treatment of depression.14,18-21 TCAs such as doxepin, amitriptyline, nortriptyline, imipramine, desipramine, clomipramine, trimipramine, protriptyline, maprotiline, and amoxapine have a narrow therapeutic index requiring careful monitoring for signs of toxicity such as QRS widening, tremors, or confusion. Despite the issues, TCAs are generally classified as second-line agents for major depressive disorder (MDD). TCAs have off-label uses for migraine prophylaxis, treatment of obsessive-compulsive disorder (OCD), insomnia, and chronic pain management first-line.14,22-29
Newer antidepressants, including TeCAs and NDRIs, are typically more effective, but also come with safety concerns. TeCAs like mirtazapine interact with several medications, including MAOIs, serotonin-increasing drugs, alcohol, cannabidiol, and marijuana. Mirtazapine is FDA-approved for the treatment of moderate to severe depression in adults. It is also used off-label to treat insomnia, panic disorder, posttraumatic stress disorder (PTSD), generalized anxiety disorder (GAD), social anxiety disorder (SAD), headaches, and migraines. Compared to other antidepressants, mirtazapine is effective for all stages of depression and addresses a broad range of related symptoms.14,30-34 NDRIs, such as bupropion, also interact with various medications, including MAOIs, other antidepressants, stimulants, and alcohol. Bupropion is FDA-approved for smoking cessation and to treat depression and SAD. It is also used off-label for depression- related bipolar disorder or sexual dysfunction, attention-deficit/hyperactivity disorder (ADHD), and obesity.14,35-42
SSRIs, SNRIs, and SRMs should be used with caution. SSRIs such as sertraline, citalopram, escitalopram, fluoxetine, paroxetine, and fluvoxamine are first-line treatments for depression and various psychiatric disorders due to their safety and efficacy. Common AEs of SSRIs include sexual dysfunction, sleep disturbances, weight changes, and gastrointestinal (GI) issues. SSRIs can prolong the QT interval, posing a risk of life-threatening arrhythmia, and may interact with other medications, necessitating treatment adjustments. The FDA approved SSRIs for MDD, GAD, bulimia nervosa, bipolar depression, OCD, panic disorder, premenstrual dysphoric disorder, treatment-resistant depression, PTSD, and SAD. Off-label uses include binge eating disorder, body dysmorphic disorder, fibromyalgia, premature ejaculation, paraphilias, autism, Raynaud phenomenon, and vasomotor symptoms associated with menopause. Among SSRIs, sertraline and escitalopram are noted for their effectiveness and tolerability.14,43-53
SNRIs, including duloxetine, venlafaxine, desvenlafaxine, milnacipran, and levomilnacipran, may increase bleeding risk, especially when taken with blood thinners. They can also elevate blood pressure, which may worsen if combined with stimulants. SNRIs may interact with other medications that affect serotonin levels, increasing the risk of serotonin syndrome when taken with triptans, pain medications, or other antidepressants.14 Desvenlafaxine has been approved by the FDA (but not by the European Medicines Agency).54-56 Duloxetine is FDA-approved for the treatment of depression, neuropathic pain, anxiety disorders, fibromyalgia, and musculoskeletal disorders. It is used off-label to treat chemotherapy-induced peripheral neuropathy and stress urinary incontinence.57-61 Venlafaxine is FDA-approved for depression, SAD, and panic disorder, and is prescribed off-label to treat ADHD, neuropathy, fibromyalgia, cataplexy, and PTSD, either alone or in combination with other medications.62,63 Milnacipran is not approved for MDD; levomilnacipran received approval in 2013.64
SRMs such as trazodone, nefazodone, vilazodone, and vortioxetine also function as serotonin reuptake inhibitors.14,15 Trazodone is FDA-approved for MDD. It has been used off-label to treat anxiety, Alzheimer disease, substance misuse, bulimia nervosa, insomnia, fibromyalgia, and PTSD when first-line SSRIs are ineffective. A notable AE of trazodone is orthostatic hypotension, which can lead to dizziness and increase the risk of falls, especially in geriatric patients.65-70 Nefazodone was discontinued in Europe in 2003 due to rare cases of liver toxicity but remains available in the US.71-74 Vilazodone and vortioxetine are FDA-approved.
The latest classes of antidepressants include SMRAs and NMDARAs.14 Agomelatine, an SMRA, was approved in Europe in 2009 but rejected by the FDA in 2011 due to liver toxicity.75 NMDARAs like esketamine and a combination of dextromethorphan and bupropion received FDA approval in 2019 and 2022, respectively.76,77
This retrospective study analyzes noncancer drugs used during systemic chemotherapy based on a dataset of 14 antineoplastic agents. It sought to identify the most dispensed noncancer drug groups, discuss findings, compare patients with and without antidepressant prescriptions, and examine trends in antidepressant use from 2002 to 2023. This analysis expands on prior research.78-81
Methods
The Walter Reed National Military Medical Center Institutional Review Board approved the study protocol and ensured compliance with the Health Insurance Portability and Accountability Act as an exempt protocol. The Joint Pathology Center (JPC) of the US Department of Defense (DoD) Cancer Registry Program and Military Health System (MHS) data experts from the Comprehensive Ambulatory/Professional Encounter Record (CAPER) and Pharmacy Data Transaction Service (PDTS) provided data for the analysis.
Data Sources
The JPC DoD Cancer Registry Program contains data from 1998 to 2024. CAPER and PDTS are part of the MHS Data Repository/Management Analysis and Reporting Tool database. Each observation in CAPER represents an ambulatory encounter at a military treatment facility (MTF). CAPER records are available from 2003 to 2024. PDTS records are available from 2002 to 2004. Each observation in PDTS represents a prescription filled for an MHS beneficiary, excluding those filled at international civilian pharmacies and inpatient pharmacy prescriptions.
This cross-sectional analysis requested data extraction for specific cancer drugs from the DoD Cancer Registry, focusing on treatment details, diagnosis dates, patient demographics, and physicians’ comments on AEs. After identifying patients, CAPER was used to identify additional health conditions. PDTS was used to compile a list of prescription medications filled during systemic cancer treatment or < 2 years postdiagnosis.
The 2016 Surveillance, Epidemiology, and End Results Program Coding and Staging Manual and International Classification of Diseases for Oncology, 3rd edition, 1st revision, were used to decode disease and cancer types.82,83 Data sorting and analysis were performed using Microsoft Excel. The percentage for the total was calculated by using the number of patients or data available within the subgroup divided by the total number of patients or data variables. To compare the mean number of dispensed antidepressants to those without antidepressants, a 2-tailed, 2-sample z test was used to calculate the P value and determine statistical significance (P < .05) using socscistatistics.com.
Data were extracted 3 times between 2021 and 2023. The initial 2021 protocol focused on erlotinib and gefitinib. A modified protocol in 2022 added paclitaxel, cisplatin, docetaxel, pemetrexed, and crizotinib; further modification in 2023 included 8 new antineoplastic agents and 2 anticoagulants. Sotorasib has not been prescribed in the MHS, and JPC lacks records for noncancer drugs. The 2023 dataset comprised 2210 patients with cancer treated with 14 antineoplastic agents; 2104 had documented diagnoses and 2113 had recorded prescriptions. Data for erlotinib, gefitinib, and paclitaxel have been published previously.78,79
Results
Of 2113 patients with recorded prescriptions, 1297 patients (61.4%) received 109 cancer drugs, including 96 antineoplastics, 7 disease-modifying antirheumatic agents, 4 biologic response modifiers, and 2 calcitonin gene-related peptides. Fourteen antineoplastic agents had complete data from JPC, while others were noted for combination therapies or treatment switches from the PDTS (Table 1). Seventy-six cancer drugs were prescribed with antidepressants in 489 patients (eAppendix).

The JPC provided 2242 entries for 2210 patients, ranging in age from 2 months to 88 years (mean, 56 years), documenting treatment from September 1988 to January 2023. Thirty-two patients had duplicate entries due to multiple cancer locations or occurrences. Of the 2242 patients, 1541 (68.7%) were aged > 50 years, 975 patients (43.5%) had cancers that were stage III or IV, and 1267 (56.5%) had cancers that were stage 0, I, II, or not applicable/unknown. There were 51 different types of cancer: breast, lung, testicular, endometrial, and ovarian were most common (n ≥ 100 patients). Forty-two cancer types were documented among 750 patients prescribed antidepressants (Table 2).

The CAPER database recorded 8882 unique diagnoses for 2104 patients, while PDTS noted 1089 unique prescriptions within 273 therapeutic codes for 2113 patients. Nine therapeutic codes (opiate agonists, adrenals, cathartics-laxatives, nonsteroidal anti-inflammatory agents, antihistamines for GI conditions, 5-HT3 receptor antagonists, analgesics and antipyretic miscellanea, antineoplastic agents, and proton-pump inhibitors) and 8 drugs (dexamethasone, prochlorperazine, ondansetron, docusate, acetaminophen, ibuprofen, oxycodone, and polyethylene glycol 3350) were associated with > 1000 patients (≥ 50%). Patients had between 1 and 275 unique health conditions and filled 1 to 108 prescriptions. The mean (SD) number of diagnoses and prescriptions was 50 (28) and 29 (12), respectively. Of the 273 therapeutic codes, 30 groups were analyzed, with others categorized into miscellaneous groups such as lotions, vaccines, and devices. Significant differences in mean number of prescriptions were found for patients taking antidepressants compared to those not (P < .05), except for anticonvulsants and antipsychotics (P = .12 and .09, respectively) (Table 3).

Antidepressants
Of the 2113 patients with recorded prescriptions, 750 (35.5%) were dispensed 17 different antidepressants. Among these 17 antidepressants, 183 (8.7%) patients received duloxetine, 158 (7.5%) received venlafaxine, 118 (5.6%) received trazodone, and 107 (5.1%) received sertraline (Figure 1, Table 4). Of the 750 patients, 509 (67.9%) received 1 antidepressant, 168 (22.4%) received 2, 60 (8.0%) received 3, and 13 (1.7%) received > 3. Combinations varied, but only duloxetine and trazodone were prescribed to > 10 patients.



Antidepressants were prescribed annually at an overall mean (SD) rate of 23% (5%) from 2003 to 2022 (Figure 2). Patients on antidepressants during systemic therapy had a greater number of diagnosed medical conditions and received more prescription medications compared to those not taking antidepressants (P < .001) (Figure 3). The 745 patients taking antidepressants in CAPER data had between 1 and 275 diagnosed medical issues, with a mean (SD) of 55 (31) vs a range of 1 to 209 and a mean (SD) of 46 (26) for the 1359 patients not taking antidepressants. The 750 patients on antidepressants in PDTS data had between 8 and 108 prescriptions dispensed, with a mean (SD) of 32 (12), vs a range of 1 to 65 prescriptions and a mean (SD) of 29 (12) for 1363 patients not taking antidepressants.


Discussion
The JPC DoD Cancer Registry includes information on cancer types, stages, treatment regimens, and physicians’ notes, while noncancer drugs are sourced from the PDTS database. The pharmacy uses a different documentation system, leading to varied classifications.
Database reliance has its drawbacks. For example, megestrol is coded as a cancer drug, although it’s primarily used for endometrial or gynecologic cancers. Many drugs have multiple therapeutic codes assigned to them, including 10 antineoplastic agents: diclofenac, Bacillus Calmette-Guérin (BCG), megestrol acetate, tamoxifen, anastrozole, letrozole, leuprolide, goserelin, degarelix, and fluorouracil. Diclofenac, BCG, and mitomycin have been repurposed for cancer treatment.84-87 From 2003 to 2023, diclofenac was prescribed to 350 patients for mild-to-moderate pain, with only 2 patients receiving it for cancer in 2018. FDA-approved for bladder cancer in 1990, BCG was prescribed for cancer treatment for 1 patient in 2021 after being used for vaccines between 2003 and 2018. Tamoxifen, used for hormone receptor-positive breast cancer from 2004 to 2017 with 53 patients, switched to estrogen agonist-antagonists from 2017 to 2023 with 123 patients. Only a few of the 168 patients were prescribed tamoxifen using both codes.88-91 Anastrozole and letrozole were coded as antiestrogens for 7 and 18 patients, respectively, while leuprolide and goserelin were coded as gonadotropins for 59 and 18 patients. Degarelix was coded as antigonadotropins, fluorouracil as skin and mucous membrane agents miscellaneous, and megestrol acetate as progestins for 7, 6, and 3 patients, respectively. Duloxetine was given to 186 patients, primarily for depression from 2005 to 2023, with 7 patients treated for fibromyalgia from 2022 to 2023.
Antidepressants Observed
Tables 1 and 5 provide insight into the FDA approval of 14 antineoplastics and antidepressants and their CYP metabolic pathways.92-122 In Table 4, the most prescribed antidepressant classes are SNRIs, SRMs, SSRIs, TeCAs, NDRIs, and TCAs. This trend highlights a preference for newer medications with weak CYP inhibition. A total of 349 patients were prescribed SSRIs, 343 SNRIs, 119 SRMs, 109 TCAs, 83 TeCAs, and 79 NDRIs. MAOIs, SMRAs, and NMDARAs were not observed in this dataset. While there are instances of dextromethorphan-bupropion and sertraline-escitalopram being dispensed together, it remains unclear whether these were NMDARA combinations.
Among the 14 specific antineoplastic agents, 10 are metabolized by CYP isoenzymes, primarily CYP3A4. Duloxetine neither inhibits nor is metabolized by CYP3A4, a reason it is often recommended, following venlafaxine.
Both duloxetine and venlafaxine are used off-label for chemotherapy-induced peripheral neuropathy related to paclitaxel and docetaxel. According to the CYP metabolized pathway, duloxetine tends to have more favorable DDIs than venlafaxine. In PDTS data, 371 patients were treated with paclitaxel and 180 with docetaxel, with respective antidepressant prescriptions of 156 and 70. Of the 156 patients dispensed paclitaxel, 62 (40%) were dispensed with duloxetine compared to 43 (28%) with venlafaxine. Of the 70 patients dispensed docetaxel, 23 (33%) received duloxetine vs 24 (34%) with venlafaxine.
Of 85 patients prescribed duloxetine, 75 received it with either paclitaxel or docetaxel (5 received both). Five patients had documented AEs (1 neuropathy related). Of 67 patients prescribed venlafaxine, 66 received it with either paclitaxel or docetaxel. Two patients had documented AEs (1 was neuropathy related, the same patient who received duloxetine). Of the 687 patients treated with paclitaxel and 337 with docetaxel in all databases, 4 experienced neuropathic AEs from both medications.79
Antidepressants can increase the risk of bleeding, especially when combined with blood thinners, and may elevate blood pressure, particularly alongside stimulants. Of the 554 patients prescribed 9 different anticoagulants, enoxaparin, apixaban, and rivaroxaban were the most common (each > 100 patients). Among these, 201 patients (36%) received both anticoagulants and antidepressants: duloxetine for 64 patients, venlafaxine for 30, trazodone for 35, and sertraline for 26. There were no data available to assess bleeding rates related to the evaluation of DDIs between these medication classes.
Antidepressants can be prescribed for erectile dysfunction. Of the 148 patients prescribed an antidepressant for erectile dysfunction, duloxetine, trazodone, and mirtazapine were the most common. Antidepressant preferences varied by cancer type. Duloxetine was the only antidepressant used for all types of cancer. Venlafaxine, duloxetine, trazodone, sertraline, and escitalopram were the most prescribed antidepressants for breast cancer, while duloxetine, mirtazapine, citalopram, sertraline, and trazodone were the most prescribed for lung cancer. Sertraline, duloxetine, trazodone, amitriptyline, and escitalopram were most common for testicular cancer. Duloxetine, venlafaxine, trazodone, amitriptyline, and sertraline were the most prescribed for endometrial cancer, while duloxetine, venlafaxine, amitriptyline, citalopram, and sertraline were most prescribed for ovarian cancer.
The broadness of International Statistical Classification of Diseases, Tenth Revision codes made it challenging to identify nondepression diagnoses in the analyzed population. However, if all antidepressants were prescribed to treat depression, service members with cancer exhibited a higher depression rate (35%) than the general population (25%). Of 2104 patients, 191 (9.1%) had mood disorders, and 706 (33.6%) had mental disorders: 346 (49.0%) had 1 diagnosis, and 360 (51.0%) had multiple diagnoses. The percentage of diagnoses varied yearly, with notable drops in 2003, 2007, 2011, 2014, and 2018, and peaks in 2006, 2008, 2013, 2017, and 2022. This fluctuation was influenced by events like the establishment of PDTS in 2002, the 2008 economic recession, a hospital relocation in 2011, the 2014 Ebola outbreak, and the COVID-19 pandemic. Although the number of patients receiving antidepressants increased from 2019 to 2022, the overall percentage of patients receiving them did not significantly change from 2003 to 2022, aligning with previous research.5,125
Many medications have potential uses beyond what is detailed in the prescribing information. Antidepressants can relieve pain, while pain medications may help with depression. Opioids were once thought to effectively treat depression, but this perspective has changed with a greater understanding of their risks, including misuse.126-131 Pain is a severe and often unbearable AE of cancer. Of 2113 patients, 92% received opioids; 34% received both opioids and antidepressants; 2% received only antidepressants; and 7% received neither. This study didn’t clarify whether those on opioids alone recognized their depression or if those on both were aware of their dependence. While SSRIs are generally not addictive, they can lead to physical dependence, and any medication can be abused if not managed properly.132-134
Conclusions
This retrospective study analyzes data from antineoplastic agents used in systemic cancer treatment between 1988 and 2023, with a particular focus on the use of antidepressants. Data on antidepressant prescriptions are incomplete and specific to these agents, which means the findings cannot be generalized to all antidepressants. Hence, the results indicate that patients taking antidepressants had more diagnosed health issues and received more medications compared to patients who were not on these drugs.
This study underscores the need for further research into the effects of antidepressants on cancer treatment, utilizing all data from the DoD Cancer Registry. Future research should explore DDIs between antidepressants and other cancer and noncancer medications, as this study did not assess AE documentation, unlike in studies involving erlotinib, gefitinib, and paclitaxel.78,79 Further investigation is needed to evaluate the impact of discontinuing antidepressant use during cancer treatment. This comprehensive overview provides insights for clinicians to help them make informed decisions regarding the prescription of antidepressants in the context of cancer treatment.
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Assessing the Impact of Antidepressants on Cancer Treatment: A Retrospective Analysis of 14 Antineoplastic Agents
Assessing the Impact of Antidepressants on Cancer Treatment: A Retrospective Analysis of 14 Antineoplastic Agents
Associations Between Prescreening Dietary Patterns and Longitudinal Colonoscopy Outcomes in Veterans
Associations Between Prescreening Dietary Patterns and Longitudinal Colonoscopy Outcomes in Veterans
Screening for colorectal cancer (CRC) with colonoscopy enables the identification and removal of CRC precursors (colonic adenomas) and has been associated with reduced risk of CRC incidence and mortality.1-3 Furthermore, there is consensus that diet and lifestyle may be associated with forestalling CRC pathogenesis at the intermediate adenoma stages.4-7 However, studies have shown that US veterans have poorer diet quality and a higher risk for neoplasia compared with nonveterans, reinforcing the need for tailored clinical approaches.8,9 Combining screening with conversations about modifiable environmental and lifestyle risk factors, such as poor diet, is a highly relevant and possibly easily leveraged prevention for those at high risk. However, there is limited evidence for any particular dietary patterns or dietary features that are most important over time.7
Several dietary components have been shown to be associated with CRC risk,10 either as potentially chemopreventive (fiber, fruits and vegetables,11 dairy,12 supplemental vitamin D,13 calcium,14 and multivitamins15) or carcinogenic (red meat16 and alcohol17). Previous studies of veterans have similarly shown that higher intake of fiber and vitamin D reduced risk, and red meat is associated with an increased risk for finding CRC precursors during colonoscopy.18 However, these dietary categories are often analyzed in isolation. Studying healthy dietary patterns in aggregate may be more clinically relevant and easier to implement for prevention of CRC and its precursors.19-21 Healthy dietary patterns, such as the US Dietary Guidelines for Americans represented by the Healthy Eating Index (HEI), the Mediterranean diet (MD), and the Dietary Approaches to Stop Hypertension (DASH) diet, have been associated with lower risk for chronic disease.22-24 Despite the extant literature, no known studies have compared these dietary patterns for associations with risk of CRC precursor or CRC development among US veterans undergoing long-term screening and follow-up after a baseline colonoscopy.
The objective of this study was to test for associations between baseline scores of healthy dietary patterns and the most severe colonoscopy findings (MSCFs) over ≥ 10 years following a baseline screening colonoscopy in veterans.
Methods
Participants in the Cooperative Studies Program (CSP) #380 cohort study included 3121 asymptomatic veterans aged 50 to 75 years at baseline who had consented to initial screening colonoscopy between 1994 and 1997, with subsequent follow-up and surveillance.25 Prior to their colonoscopy, all participants completed a baseline study survey that included questions about cancer risk factors including family history of CRC, diet, physical activity, and medication use.
Included in this cross-sectional analysis were data from a sample of veteran participants of the CSP #380 cohort with 1 baseline colonoscopy, follow-up surveillance through 2009, a cancer risk factor survey collected at baseline, and complete demographic and clinical indicator data. Excluded from the analysis were 67 participants with insufficient responses to the dietary food frequency questionnaire (FFQ) and 31 participants with missing body mass index (BMI), 3023 veterans.
Measures
MSCF. The outcome of interest in this study was the MSCF recorded across all participant colonoscopies during the study period. MSCF was categorized as either (1) no neoplasia; (2) < 2 nonadvanced adenomas, including small adenomas (diameter < 10 mm) with tubular histology; or (3) advanced neoplasia (AN), which is characterized by adenomas > 10 mm in diameter, with villous histology, with high-grade dysplasia, or CRC.
Dietary patterns. Dietary pattern scores representing dietary quality and calculated based on recommendations of the US Dietary Guidelines for Americans using the HEI, MD, and DASH diets were independent variables.26-28 These 3 dietary patterns were chosen for their hypothesized relationship with CRC risk, but each weighs food categories differently (Appendix 1).22-24,29 Dietary pattern scores were calculated using the CSP #380 self-reported responses to 129 baseline survey questions adapted from a well-established and previously validated semiquantitative FFQ.30 The form was administered by mail twice to a sample of 127 participants at baseline and at 1 year. During this interval, men completed 1-week diet records twice, spaced about 6 months apart. Mean values for intake of most nutrients assessed by the 2 methods were similar. Intraclass correlation coefficients for the baseline and 1-year FFQ-assessed nutrient intakes that ranged from 0.47 for vitamin E (without supplements) to 0.80 for vitamin C (with supplements). Correlation coefficients between the energy-adjusted nutrient intakes were measured by diet records and the 1-year FFQ, which asked about diet during the year encompassing the diet records. Higher raw and percent scores indicated better alignment with recommendations from each respective dietary pattern. Percent scores were calculated as a standardizing method and used in analyses for ease of comparing the dietary patterns. Scoring can be found in Appendix 2.


Demographic characteristics and clinical indicators. Demographic characteristics included age categories, sex, and race/ethnicity. Clinical indicators included BMI, the number of comorbid conditions used to calculate the Charlson Comorbidity Index, family history of CRC in first-degree relatives, number of follow-up colonoscopies across the study period, and food-based vitamin D intake.31 These variables were chosen for their applicability found in previous CSP #380 cohort studies.18,32,33 Self-reported race and ethnicity were collapsed due to small numbers in some groups. The authors acknowledge these are distinct concepts and the variable has limited utility other than for controlling for systemic racism in the model.
Statistical Analyses
Descriptive statistics were used to describe distributional assumptions for all variables, including demographics, clinical indicators, colonoscopy results, and dietary patterns. Pairwise correlations between the total dietary pattern scores and food category scores were calculated with Pearson correlation (r).
Multinomial logistic regression models were created using SAS procedure LOGISTIC with the outcome of the categorical MSCF (no neoplasia, nonadvanced adenoma, or AN).34 A model was created for each independent predictor variable of interest (ie, the HEI, MD, or DASH percentage-standardized dietary pattern score and each food category comprising each dietary pattern score). All models were adjusted for age, sex, race/ethnicity, BMI, number of comorbidities, family history of CRC, number of follow-up colonoscopies, and estimated daily food-derived vitamin D intake. The demographic and clinical indicators were included in the models as they are known to be associated with CRC risk.18 The number of colonoscopies was included to control for surveillance intensity presuming risk for AN is reduced as polyps are removed. Because colonoscopy findings from an initial screening have unique clinical implications compared with follow- up and surveillance, MSCF was observed in 2 ways in sensitivity analyses: (1) baseline and (2) aggregate follow-up and surveillance only, excluding baseline findings.
Adjusted odds ratios (aORs) and 95% CIs for each of the MSCF outcomes with a reference finding of no neoplasia for the models are presented. We chose not to adjust for multiple comparisons across the different dietary patterns given the correlation between dietary pattern total and category scores but did adjust for multiple comparisons for dietary categories within each dietary pattern. Tests for statistical significance used α= .05 for the dietary pattern total scores and P values for the dietary category scores for each dietary pattern controlled for false discovery rate using the MULTTEST SAS procedure.35 All data manipulations and analyses were performed using SAS version 9.4.
Results
The study included 3023 patients. All were aged 50 to 75 years, 2923 (96.7%) were male and 2532 (83.8%) were non-Hispanic White (Table 1). Most participants were overweight or obese (n = 2535 [83.8%]), 2024 (67.0%) had ≤ 2 comorbidities, and 2602 (86.1%) had no family history of CRC. The MSCF for 1628 patients (53.9%) was no neoplasia, 966 patients (32.0%) was nonadvanced adenoma, and 429 participants (14.2%) had AN.

Mean percent scores were 58.5% for HEI, 38.2% for MD, and 63.1% for the DASH diet, with higher percentages indicating greater alignment with the recommendations for each diet (Table 2). All 3 dietary patterns scores standardized to percentages were strongly and significantly correlated in pairwise comparisons: HEI:MD, r = 0.62 (P < .001); HEI:DASH, r = 0.60 (P < .001); and MD:DASH, r = 0.72 (P < .001). Likewise, food category scores were significantly correlated across dietary patterns. For example, whole grain and fiber values from each dietary score were strongly correlated in pairwise comparisons: HEI Whole Grain:MD Grain, r = 0.64 (P < .001); HEI Whole Grain:DASH Fiber, r = 0.71 (P < .001); and MD Grain:DASH Fiber, r = 0.70 (P < .001).

Associations between individual participants' dietary pattern scores and the outcome of their pooled MSCF from baseline screening and ≥ 10 years of surveillance are presented in Table 3. For each single-point increases in dietary pattern scores (reflecting better dietary quality), aORs for nonadvanced adenoma vs no neoplasia were slightly lower but not statistically significantly: HEI, aOR, 1.00 (95% CI, 0.99-1.01); MD, aOR, 0.98 (95% CI, 0.94-1.02); and DASH, aOR, 0.99 (95% CI, 0.99-1.00). aORs for AN vs no neoplasia were slightly lower for each dietary pattern assessed, and only the MD and DASH scores were significantly different from 1.00: HEI, aOR, 1.00 (95% CI, 0.99-1.01); MD, aOR, 0.95 (95% CI, 0.90-1.00); and DASH, aOR, 0.99 (95% CI, 0.98-1.00).

We observed lower odds for nonadvanced adenoma and AN among all these dietary patterns when there was greater alignment with the recommended intake of whole grains and fiber. In separate models conducted using food categories comprising the dietary patterns as independent variables and after correcting for multiple tests, higher scores for the HEI Refined Grain category were associated with higher odds for nonadvanced adenoma (aOR, 1.03 [95% CI, 1.01-1.05]; P = .01) and AN (aOR, 1.05 [95% CI, 1.02-1.08]; P < .001). Higher scores for the HEI Whole Grain category were associated with lower odds for nonadvanced adenoma (aOR, 0.97 [95% CI, 0.95-0.99]; P = .01) and AN (aOR, 0.96 [95% CI, 0.93-0.99]; P = .01). Higher scores for the MD Grain category were significantly associated with lower odds for nonadvanced adenoma (aOR, 0.44 [95% CI, 0.26-0.75]; P = .002) and AN (aOR, 0.29 [95% CI, 0.14-0.62]; P = .001). The DASH Grains category also was significantly associated with lower odds for AN (aOR, 0.86 [95% CI, 0.78-0.95]; P = .002).
Discussion
In this study of 3023 veterans undergoing first-time screening colonoscopy and ≥ 10 years of surveillance, we found that healthy dietary patterns, as assessed by the MD and DASH diet, were significantly associated with lower risk of AN. Additionally, we identified lower odds for AN and nonadvanced adenoma compared with no neoplasia for higher grain scores for all the dietary patterns studied. Other food categories that comprise the dietary pattern scores had mixed associations with the MSCF outcomes. Several other studies have examined associations between dietary patterns and risk for CRC but to our knowledge, no studies have explored these associations among US veterans.
These results also indicate study participants had better than average (based on a 50% threshold) dietary quality according to the HEI and DASH diet scoring methods we used, but poor dietary quality according to the MD scoring method. The mean HEI scores for the present study were higher than a US Department of Agriculture study by Dong et al that compared dietary quality between veterans and nonveterans using the HEI, for which veterans’ expected HEI score was 45.6 of 100.8 This could be explained by the fact that the participants needed to be healthy to be eligible and those with healthier behaviors overall may have self-selected into the study due to motivation for screening during a time when screening was not yet commonplace. 36 Similarly, participants of the present study had higher adherence to the DASH diet (63.1%) than adolescents with diabetes in a study by Günther et al. Conversely, firefighters who were coached to use a Mediterranean-style dietary pattern and dietary had higher adherence to MD than did participants in this study.27
A closer examination of specific food category component scores that comprise the 3 distinct dietary patterns revealed mixed results from the multinomial modeling, which may have to do with the guideline thresholds used to calculate the dietary scores. When analyzed separately in the logistic regression models for their associations with nonadvanced adenomas and AN compared with no neoplasia, higher MD and DASH fruit scores (but not HEI fruit scores) were found to be significant. Other studies have had mixed findings when attempting to test for associations of fruit intake with adenoma recurrence.10,37
This study had some unexpected findings. Vegetable intake was not associated with nonadvanced adenomas or AN risk. Studies of food categories have consistently found vegetable (specifically cruciferous ones) intake to be linked with lower odds for cancers.38 Likewise, the red meat category, which was only a unique food category in the MD score, was not associated with nonadvanced adenomas or AN. Despite consistent literature suggesting higher intake of red meat and processed meats increases CRC risk, in 2019 the Nutritional Recommendations Consortium indicated that the evidence was weak.39,40 This study showed higher DASH diet scores for low-fat dairy, which were maximized when participants reported at least 50% of their dairy servings per day as being low-fat, had lower odds for AN. Yet, the MD scores for low-fat dairy had no association with either outcome; their calculation was based on total number of servings per week. This difference in findings suggests the fat intake ratio may be more relevant to CRC risk than intake quantity.
The literature is mixed regarding fatty acid intake and CRC risk, which may be relevant to both dairy and meat intake. One systematic review and meta-analysis found dietary fat and types of fatty acid intake had no association with CRC risk.41 However, a more recent meta-analysis that assessed both dietary intake and plasma levels of fatty acids did find some statistically significant differences for various types of fatty acids and CRC risk.42
The findings in the present study that grain intake is associated with lower odds for more severe colonoscopy findings among veterans are notable.43 Lieberman et al, using the CSP #380 data, found that cereal fiber intake was associated with a lower odds for AN compared with hyperplastic polyps (OR, 0.98 [95% CI, 0.96- 1.00]).18 Similarly, Hullings et al determined that older adults in the highest quintile of cereal fiber intake had significantly lower odds of CRC than those in lower odds for CRC when compared with lowest quintile (OR, 0.89 [95% CI, 0.83- 0.96]; P < .001).44 These findings support existing guidance that prioritizes whole grains as a key source of dietary fiber for CRC prevention.
A recent literature review on fiber, fat, and CRC risk suggested a consensus regarding one protective mechanism: dietary fiber from grains modulates the gut microbiota by promoting butyrate synthesis.45 Butyrate is a short-chain fatty acid that supports energy production in colonocytes and has tumor-suppressing properties.46 Our findings suggest there could be more to learn about the relationship between butyrate production and reduction of CRC risk through metabolomic studies that use measurements of plasma butyrate. These studies may examine associations between not just a singular food or food category, but rather food patterns that include fruits, vegetables, nuts and seeds, and whole grains known to promote butyrate production and plasma butyrate.47
Improved understanding of mechanisms and risk-modifying lifestyle factors such as dietary patterns may enhance prevention strategies. Identifying the collective chemopreventive characteristics of a specific dietary pattern (eg, MD) will be helpful to clinicians and health care staff to promote healthy eating to reduce cancer risk. More studies are needed to understand whether such promotion is more clinically applicable and effective for patients, as compared with eating more or less of specific foods (eg, more whole grains, less red meat). Furthermore, considering important environmental factors collectively beyond dietary patterns may offer a way to better tailor screening and implement a variety of lifestyle interventions. In the literature, this is often referred to as a teachable moment when patients’ attentions are captured and may position them to be more receptive to guidance.48
Limitations
This study has several important limitations and leaves opportunities for future studies that explore the role of dietary patterns and AN or CRC risk. First, the FFQ data used to calculate dietary pattern scores used in analysis were only captured at baseline, and there are nearly 3 decades across the study period. However, it is widely assumed that the diets of older adults, like those included in this study, remain stable over time which is appropriate given our sample population was aged 50 to 75 years when the baseline FFQ data were collected.49-51 Additionally, while the HEI is a well-documented, standard scoring method for dietary quality, there are multitudes of dietary pattern scoring approaches for MD and DASH.23,52,53 Finally, findings from this study using the sample of veterans may not be generalizable to a broader population. Future longitudinal studies that test for a clinically significant change threshold are warranted.
Conclusion
Results of this study suggest future research should further explore the effects of dietary patterns, particularly intake of specific food groups in combination, as opposed to individual nutrients or food items, on AN and CRC risk. Possible studies might explore these dietary patterns for their mechanistic role in altering the microbiome metabolism, which may influence CRC outcomes or include diet in a more comprehensive, holistic risk score that could be used to predict colonic neoplasia risk or in intervention studies that assess the effects of dietary changes on long-term CRC prevention. We suggest there are differences in people’s dietary intake patterns that might be important to consider when implementing tailored approaches to CRC risk mitigation.
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- Dong D, Stewart H, Carlson AC. An Examination of Veterans’ Diet Quality. U.S. Department of Agriculture, Economic Research Service; 2019:32.
- El-Halabi MM, Rex DK, Saito A, Eckert GJ, Kahi CJ. Defining adenoma detection rate benchmarks in average-risk male veterans. Gastrointest Endosc. 2019;89(1):137-143. doi:10.1016/j.gie.2018.08.021
- Alberts DS, Hess LM, eds. Fundamentals of Cancer Prevention. Springer International Publishing; 2019. doi:10.1007/978-3-030-15935-1
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- Alexander DD, Weed DL, Miller PE, Mohamed MA. Red meat and colorectal cancer: a quantitative update on the state of the epidemiologic science. J Am Coll Nutr. 2015;34(6):521-543. doi:10.1080/07315724.2014.992553
- Park SY, Wilkens LR, Setiawan VW, Monroe KR, Haiman CA, Le Marchand L. Alcohol intake and colorectal cancer risk in the multiethnic cohort study. Am J Epidemiol. 2019;188(1):67-76. doi:10.1093/aje/kwy208
- Lieberman DA. Risk Factors for advanced colonic neoplasia and hyperplastic polyps in asymptomatic individuals. JAMA. 2003;290(22):2959. doi:10.1001/jama.290.22.2959
- Archambault AN, Jeon J, Lin Y, et al. Risk stratification for early-onset colorectal cancer using a combination of genetic and environmental risk scores: an international multi-center study. J Natl Cancer Inst. 2022;114(4):528-539. doi:10.1093/jnci/djac003
- Carr PR, Weigl K, Edelmann D, et al. Estimation of absolute risk of colorectal cancer based on healthy lifestyle, genetic risk, and colonoscopy status in a populationbased study. Gastroenterology. 2020;159(1):129-138.e9. doi:10.1053/j.gastro.2020.03.016
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- Erben V, Carr PR, Holleczek B, Stegmaier C, Hoffmeister M, Brenner H. Dietary patterns and risk of advanced colorectal neoplasms: A large population based screening study in Germany. Prev Med. 2018;111:101-109. doi:10.1016/j.ypmed.2018.02.025
- Donovan MG, Selmin OI, Doetschman TC, Romagnolo DF. Mediterranean diet: prevention of colorectal cancer. Front Nutr. 2017;4:59. doi:10.3389/fnut.2017.00059
- Mohseni R, Mohseni F, Alizadeh S, Abbasi S. The Association of Dietary Approaches to Stop Hypertension (DASH) diet with the risk of colorectal cancer: a meta-analysis of observational studies.Nutr Cancer. 2020;72(5):778-790. doi:10.1080/01635581.2019.1651880
- Lieberman DA, Weiss DG, Bond JH, Ahnen DJ, Garewal H, Chejfec G. Use of colonoscopy to screen asymptomatic adults for colorectal cancer. Veterans Affairs Cooperative Study Group 380. N Engl J Med. 2000;343(3):162-168. doi:10.1056/NEJM200007203430301
- Developing the Healthy Eating Index (HEI) | EGRP/ DCCPS/NCI/NIH. Accessed July 22, 2025. https://epi.grants.cancer.gov/hei/developing.html#2015c
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- Günther AL, Liese AD, Bell RA, et al. ASSOCIATION BETWEEN THE DIETARY APPROACHES TO HYPERTENSION (DASH) DIET AND HYPERTENSION IN YOUTH WITH DIABETES. Hypertens Dallas Tex 1979. 2009;53(1):6-12. doi:10.1161/HYPERTENSIONAHA.108.116665
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Screening for colorectal cancer (CRC) with colonoscopy enables the identification and removal of CRC precursors (colonic adenomas) and has been associated with reduced risk of CRC incidence and mortality.1-3 Furthermore, there is consensus that diet and lifestyle may be associated with forestalling CRC pathogenesis at the intermediate adenoma stages.4-7 However, studies have shown that US veterans have poorer diet quality and a higher risk for neoplasia compared with nonveterans, reinforcing the need for tailored clinical approaches.8,9 Combining screening with conversations about modifiable environmental and lifestyle risk factors, such as poor diet, is a highly relevant and possibly easily leveraged prevention for those at high risk. However, there is limited evidence for any particular dietary patterns or dietary features that are most important over time.7
Several dietary components have been shown to be associated with CRC risk,10 either as potentially chemopreventive (fiber, fruits and vegetables,11 dairy,12 supplemental vitamin D,13 calcium,14 and multivitamins15) or carcinogenic (red meat16 and alcohol17). Previous studies of veterans have similarly shown that higher intake of fiber and vitamin D reduced risk, and red meat is associated with an increased risk for finding CRC precursors during colonoscopy.18 However, these dietary categories are often analyzed in isolation. Studying healthy dietary patterns in aggregate may be more clinically relevant and easier to implement for prevention of CRC and its precursors.19-21 Healthy dietary patterns, such as the US Dietary Guidelines for Americans represented by the Healthy Eating Index (HEI), the Mediterranean diet (MD), and the Dietary Approaches to Stop Hypertension (DASH) diet, have been associated with lower risk for chronic disease.22-24 Despite the extant literature, no known studies have compared these dietary patterns for associations with risk of CRC precursor or CRC development among US veterans undergoing long-term screening and follow-up after a baseline colonoscopy.
The objective of this study was to test for associations between baseline scores of healthy dietary patterns and the most severe colonoscopy findings (MSCFs) over ≥ 10 years following a baseline screening colonoscopy in veterans.
Methods
Participants in the Cooperative Studies Program (CSP) #380 cohort study included 3121 asymptomatic veterans aged 50 to 75 years at baseline who had consented to initial screening colonoscopy between 1994 and 1997, with subsequent follow-up and surveillance.25 Prior to their colonoscopy, all participants completed a baseline study survey that included questions about cancer risk factors including family history of CRC, diet, physical activity, and medication use.
Included in this cross-sectional analysis were data from a sample of veteran participants of the CSP #380 cohort with 1 baseline colonoscopy, follow-up surveillance through 2009, a cancer risk factor survey collected at baseline, and complete demographic and clinical indicator data. Excluded from the analysis were 67 participants with insufficient responses to the dietary food frequency questionnaire (FFQ) and 31 participants with missing body mass index (BMI), 3023 veterans.
Measures
MSCF. The outcome of interest in this study was the MSCF recorded across all participant colonoscopies during the study period. MSCF was categorized as either (1) no neoplasia; (2) < 2 nonadvanced adenomas, including small adenomas (diameter < 10 mm) with tubular histology; or (3) advanced neoplasia (AN), which is characterized by adenomas > 10 mm in diameter, with villous histology, with high-grade dysplasia, or CRC.
Dietary patterns. Dietary pattern scores representing dietary quality and calculated based on recommendations of the US Dietary Guidelines for Americans using the HEI, MD, and DASH diets were independent variables.26-28 These 3 dietary patterns were chosen for their hypothesized relationship with CRC risk, but each weighs food categories differently (Appendix 1).22-24,29 Dietary pattern scores were calculated using the CSP #380 self-reported responses to 129 baseline survey questions adapted from a well-established and previously validated semiquantitative FFQ.30 The form was administered by mail twice to a sample of 127 participants at baseline and at 1 year. During this interval, men completed 1-week diet records twice, spaced about 6 months apart. Mean values for intake of most nutrients assessed by the 2 methods were similar. Intraclass correlation coefficients for the baseline and 1-year FFQ-assessed nutrient intakes that ranged from 0.47 for vitamin E (without supplements) to 0.80 for vitamin C (with supplements). Correlation coefficients between the energy-adjusted nutrient intakes were measured by diet records and the 1-year FFQ, which asked about diet during the year encompassing the diet records. Higher raw and percent scores indicated better alignment with recommendations from each respective dietary pattern. Percent scores were calculated as a standardizing method and used in analyses for ease of comparing the dietary patterns. Scoring can be found in Appendix 2.


Demographic characteristics and clinical indicators. Demographic characteristics included age categories, sex, and race/ethnicity. Clinical indicators included BMI, the number of comorbid conditions used to calculate the Charlson Comorbidity Index, family history of CRC in first-degree relatives, number of follow-up colonoscopies across the study period, and food-based vitamin D intake.31 These variables were chosen for their applicability found in previous CSP #380 cohort studies.18,32,33 Self-reported race and ethnicity were collapsed due to small numbers in some groups. The authors acknowledge these are distinct concepts and the variable has limited utility other than for controlling for systemic racism in the model.
Statistical Analyses
Descriptive statistics were used to describe distributional assumptions for all variables, including demographics, clinical indicators, colonoscopy results, and dietary patterns. Pairwise correlations between the total dietary pattern scores and food category scores were calculated with Pearson correlation (r).
Multinomial logistic regression models were created using SAS procedure LOGISTIC with the outcome of the categorical MSCF (no neoplasia, nonadvanced adenoma, or AN).34 A model was created for each independent predictor variable of interest (ie, the HEI, MD, or DASH percentage-standardized dietary pattern score and each food category comprising each dietary pattern score). All models were adjusted for age, sex, race/ethnicity, BMI, number of comorbidities, family history of CRC, number of follow-up colonoscopies, and estimated daily food-derived vitamin D intake. The demographic and clinical indicators were included in the models as they are known to be associated with CRC risk.18 The number of colonoscopies was included to control for surveillance intensity presuming risk for AN is reduced as polyps are removed. Because colonoscopy findings from an initial screening have unique clinical implications compared with follow- up and surveillance, MSCF was observed in 2 ways in sensitivity analyses: (1) baseline and (2) aggregate follow-up and surveillance only, excluding baseline findings.
Adjusted odds ratios (aORs) and 95% CIs for each of the MSCF outcomes with a reference finding of no neoplasia for the models are presented. We chose not to adjust for multiple comparisons across the different dietary patterns given the correlation between dietary pattern total and category scores but did adjust for multiple comparisons for dietary categories within each dietary pattern. Tests for statistical significance used α= .05 for the dietary pattern total scores and P values for the dietary category scores for each dietary pattern controlled for false discovery rate using the MULTTEST SAS procedure.35 All data manipulations and analyses were performed using SAS version 9.4.
Results
The study included 3023 patients. All were aged 50 to 75 years, 2923 (96.7%) were male and 2532 (83.8%) were non-Hispanic White (Table 1). Most participants were overweight or obese (n = 2535 [83.8%]), 2024 (67.0%) had ≤ 2 comorbidities, and 2602 (86.1%) had no family history of CRC. The MSCF for 1628 patients (53.9%) was no neoplasia, 966 patients (32.0%) was nonadvanced adenoma, and 429 participants (14.2%) had AN.

Mean percent scores were 58.5% for HEI, 38.2% for MD, and 63.1% for the DASH diet, with higher percentages indicating greater alignment with the recommendations for each diet (Table 2). All 3 dietary patterns scores standardized to percentages were strongly and significantly correlated in pairwise comparisons: HEI:MD, r = 0.62 (P < .001); HEI:DASH, r = 0.60 (P < .001); and MD:DASH, r = 0.72 (P < .001). Likewise, food category scores were significantly correlated across dietary patterns. For example, whole grain and fiber values from each dietary score were strongly correlated in pairwise comparisons: HEI Whole Grain:MD Grain, r = 0.64 (P < .001); HEI Whole Grain:DASH Fiber, r = 0.71 (P < .001); and MD Grain:DASH Fiber, r = 0.70 (P < .001).

Associations between individual participants' dietary pattern scores and the outcome of their pooled MSCF from baseline screening and ≥ 10 years of surveillance are presented in Table 3. For each single-point increases in dietary pattern scores (reflecting better dietary quality), aORs for nonadvanced adenoma vs no neoplasia were slightly lower but not statistically significantly: HEI, aOR, 1.00 (95% CI, 0.99-1.01); MD, aOR, 0.98 (95% CI, 0.94-1.02); and DASH, aOR, 0.99 (95% CI, 0.99-1.00). aORs for AN vs no neoplasia were slightly lower for each dietary pattern assessed, and only the MD and DASH scores were significantly different from 1.00: HEI, aOR, 1.00 (95% CI, 0.99-1.01); MD, aOR, 0.95 (95% CI, 0.90-1.00); and DASH, aOR, 0.99 (95% CI, 0.98-1.00).

We observed lower odds for nonadvanced adenoma and AN among all these dietary patterns when there was greater alignment with the recommended intake of whole grains and fiber. In separate models conducted using food categories comprising the dietary patterns as independent variables and after correcting for multiple tests, higher scores for the HEI Refined Grain category were associated with higher odds for nonadvanced adenoma (aOR, 1.03 [95% CI, 1.01-1.05]; P = .01) and AN (aOR, 1.05 [95% CI, 1.02-1.08]; P < .001). Higher scores for the HEI Whole Grain category were associated with lower odds for nonadvanced adenoma (aOR, 0.97 [95% CI, 0.95-0.99]; P = .01) and AN (aOR, 0.96 [95% CI, 0.93-0.99]; P = .01). Higher scores for the MD Grain category were significantly associated with lower odds for nonadvanced adenoma (aOR, 0.44 [95% CI, 0.26-0.75]; P = .002) and AN (aOR, 0.29 [95% CI, 0.14-0.62]; P = .001). The DASH Grains category also was significantly associated with lower odds for AN (aOR, 0.86 [95% CI, 0.78-0.95]; P = .002).
Discussion
In this study of 3023 veterans undergoing first-time screening colonoscopy and ≥ 10 years of surveillance, we found that healthy dietary patterns, as assessed by the MD and DASH diet, were significantly associated with lower risk of AN. Additionally, we identified lower odds for AN and nonadvanced adenoma compared with no neoplasia for higher grain scores for all the dietary patterns studied. Other food categories that comprise the dietary pattern scores had mixed associations with the MSCF outcomes. Several other studies have examined associations between dietary patterns and risk for CRC but to our knowledge, no studies have explored these associations among US veterans.
These results also indicate study participants had better than average (based on a 50% threshold) dietary quality according to the HEI and DASH diet scoring methods we used, but poor dietary quality according to the MD scoring method. The mean HEI scores for the present study were higher than a US Department of Agriculture study by Dong et al that compared dietary quality between veterans and nonveterans using the HEI, for which veterans’ expected HEI score was 45.6 of 100.8 This could be explained by the fact that the participants needed to be healthy to be eligible and those with healthier behaviors overall may have self-selected into the study due to motivation for screening during a time when screening was not yet commonplace. 36 Similarly, participants of the present study had higher adherence to the DASH diet (63.1%) than adolescents with diabetes in a study by Günther et al. Conversely, firefighters who were coached to use a Mediterranean-style dietary pattern and dietary had higher adherence to MD than did participants in this study.27
A closer examination of specific food category component scores that comprise the 3 distinct dietary patterns revealed mixed results from the multinomial modeling, which may have to do with the guideline thresholds used to calculate the dietary scores. When analyzed separately in the logistic regression models for their associations with nonadvanced adenomas and AN compared with no neoplasia, higher MD and DASH fruit scores (but not HEI fruit scores) were found to be significant. Other studies have had mixed findings when attempting to test for associations of fruit intake with adenoma recurrence.10,37
This study had some unexpected findings. Vegetable intake was not associated with nonadvanced adenomas or AN risk. Studies of food categories have consistently found vegetable (specifically cruciferous ones) intake to be linked with lower odds for cancers.38 Likewise, the red meat category, which was only a unique food category in the MD score, was not associated with nonadvanced adenomas or AN. Despite consistent literature suggesting higher intake of red meat and processed meats increases CRC risk, in 2019 the Nutritional Recommendations Consortium indicated that the evidence was weak.39,40 This study showed higher DASH diet scores for low-fat dairy, which were maximized when participants reported at least 50% of their dairy servings per day as being low-fat, had lower odds for AN. Yet, the MD scores for low-fat dairy had no association with either outcome; their calculation was based on total number of servings per week. This difference in findings suggests the fat intake ratio may be more relevant to CRC risk than intake quantity.
The literature is mixed regarding fatty acid intake and CRC risk, which may be relevant to both dairy and meat intake. One systematic review and meta-analysis found dietary fat and types of fatty acid intake had no association with CRC risk.41 However, a more recent meta-analysis that assessed both dietary intake and plasma levels of fatty acids did find some statistically significant differences for various types of fatty acids and CRC risk.42
The findings in the present study that grain intake is associated with lower odds for more severe colonoscopy findings among veterans are notable.43 Lieberman et al, using the CSP #380 data, found that cereal fiber intake was associated with a lower odds for AN compared with hyperplastic polyps (OR, 0.98 [95% CI, 0.96- 1.00]).18 Similarly, Hullings et al determined that older adults in the highest quintile of cereal fiber intake had significantly lower odds of CRC than those in lower odds for CRC when compared with lowest quintile (OR, 0.89 [95% CI, 0.83- 0.96]; P < .001).44 These findings support existing guidance that prioritizes whole grains as a key source of dietary fiber for CRC prevention.
A recent literature review on fiber, fat, and CRC risk suggested a consensus regarding one protective mechanism: dietary fiber from grains modulates the gut microbiota by promoting butyrate synthesis.45 Butyrate is a short-chain fatty acid that supports energy production in colonocytes and has tumor-suppressing properties.46 Our findings suggest there could be more to learn about the relationship between butyrate production and reduction of CRC risk through metabolomic studies that use measurements of plasma butyrate. These studies may examine associations between not just a singular food or food category, but rather food patterns that include fruits, vegetables, nuts and seeds, and whole grains known to promote butyrate production and plasma butyrate.47
Improved understanding of mechanisms and risk-modifying lifestyle factors such as dietary patterns may enhance prevention strategies. Identifying the collective chemopreventive characteristics of a specific dietary pattern (eg, MD) will be helpful to clinicians and health care staff to promote healthy eating to reduce cancer risk. More studies are needed to understand whether such promotion is more clinically applicable and effective for patients, as compared with eating more or less of specific foods (eg, more whole grains, less red meat). Furthermore, considering important environmental factors collectively beyond dietary patterns may offer a way to better tailor screening and implement a variety of lifestyle interventions. In the literature, this is often referred to as a teachable moment when patients’ attentions are captured and may position them to be more receptive to guidance.48
Limitations
This study has several important limitations and leaves opportunities for future studies that explore the role of dietary patterns and AN or CRC risk. First, the FFQ data used to calculate dietary pattern scores used in analysis were only captured at baseline, and there are nearly 3 decades across the study period. However, it is widely assumed that the diets of older adults, like those included in this study, remain stable over time which is appropriate given our sample population was aged 50 to 75 years when the baseline FFQ data were collected.49-51 Additionally, while the HEI is a well-documented, standard scoring method for dietary quality, there are multitudes of dietary pattern scoring approaches for MD and DASH.23,52,53 Finally, findings from this study using the sample of veterans may not be generalizable to a broader population. Future longitudinal studies that test for a clinically significant change threshold are warranted.
Conclusion
Results of this study suggest future research should further explore the effects of dietary patterns, particularly intake of specific food groups in combination, as opposed to individual nutrients or food items, on AN and CRC risk. Possible studies might explore these dietary patterns for their mechanistic role in altering the microbiome metabolism, which may influence CRC outcomes or include diet in a more comprehensive, holistic risk score that could be used to predict colonic neoplasia risk or in intervention studies that assess the effects of dietary changes on long-term CRC prevention. We suggest there are differences in people’s dietary intake patterns that might be important to consider when implementing tailored approaches to CRC risk mitigation.
Screening for colorectal cancer (CRC) with colonoscopy enables the identification and removal of CRC precursors (colonic adenomas) and has been associated with reduced risk of CRC incidence and mortality.1-3 Furthermore, there is consensus that diet and lifestyle may be associated with forestalling CRC pathogenesis at the intermediate adenoma stages.4-7 However, studies have shown that US veterans have poorer diet quality and a higher risk for neoplasia compared with nonveterans, reinforcing the need for tailored clinical approaches.8,9 Combining screening with conversations about modifiable environmental and lifestyle risk factors, such as poor diet, is a highly relevant and possibly easily leveraged prevention for those at high risk. However, there is limited evidence for any particular dietary patterns or dietary features that are most important over time.7
Several dietary components have been shown to be associated with CRC risk,10 either as potentially chemopreventive (fiber, fruits and vegetables,11 dairy,12 supplemental vitamin D,13 calcium,14 and multivitamins15) or carcinogenic (red meat16 and alcohol17). Previous studies of veterans have similarly shown that higher intake of fiber and vitamin D reduced risk, and red meat is associated with an increased risk for finding CRC precursors during colonoscopy.18 However, these dietary categories are often analyzed in isolation. Studying healthy dietary patterns in aggregate may be more clinically relevant and easier to implement for prevention of CRC and its precursors.19-21 Healthy dietary patterns, such as the US Dietary Guidelines for Americans represented by the Healthy Eating Index (HEI), the Mediterranean diet (MD), and the Dietary Approaches to Stop Hypertension (DASH) diet, have been associated with lower risk for chronic disease.22-24 Despite the extant literature, no known studies have compared these dietary patterns for associations with risk of CRC precursor or CRC development among US veterans undergoing long-term screening and follow-up after a baseline colonoscopy.
The objective of this study was to test for associations between baseline scores of healthy dietary patterns and the most severe colonoscopy findings (MSCFs) over ≥ 10 years following a baseline screening colonoscopy in veterans.
Methods
Participants in the Cooperative Studies Program (CSP) #380 cohort study included 3121 asymptomatic veterans aged 50 to 75 years at baseline who had consented to initial screening colonoscopy between 1994 and 1997, with subsequent follow-up and surveillance.25 Prior to their colonoscopy, all participants completed a baseline study survey that included questions about cancer risk factors including family history of CRC, diet, physical activity, and medication use.
Included in this cross-sectional analysis were data from a sample of veteran participants of the CSP #380 cohort with 1 baseline colonoscopy, follow-up surveillance through 2009, a cancer risk factor survey collected at baseline, and complete demographic and clinical indicator data. Excluded from the analysis were 67 participants with insufficient responses to the dietary food frequency questionnaire (FFQ) and 31 participants with missing body mass index (BMI), 3023 veterans.
Measures
MSCF. The outcome of interest in this study was the MSCF recorded across all participant colonoscopies during the study period. MSCF was categorized as either (1) no neoplasia; (2) < 2 nonadvanced adenomas, including small adenomas (diameter < 10 mm) with tubular histology; or (3) advanced neoplasia (AN), which is characterized by adenomas > 10 mm in diameter, with villous histology, with high-grade dysplasia, or CRC.
Dietary patterns. Dietary pattern scores representing dietary quality and calculated based on recommendations of the US Dietary Guidelines for Americans using the HEI, MD, and DASH diets were independent variables.26-28 These 3 dietary patterns were chosen for their hypothesized relationship with CRC risk, but each weighs food categories differently (Appendix 1).22-24,29 Dietary pattern scores were calculated using the CSP #380 self-reported responses to 129 baseline survey questions adapted from a well-established and previously validated semiquantitative FFQ.30 The form was administered by mail twice to a sample of 127 participants at baseline and at 1 year. During this interval, men completed 1-week diet records twice, spaced about 6 months apart. Mean values for intake of most nutrients assessed by the 2 methods were similar. Intraclass correlation coefficients for the baseline and 1-year FFQ-assessed nutrient intakes that ranged from 0.47 for vitamin E (without supplements) to 0.80 for vitamin C (with supplements). Correlation coefficients between the energy-adjusted nutrient intakes were measured by diet records and the 1-year FFQ, which asked about diet during the year encompassing the diet records. Higher raw and percent scores indicated better alignment with recommendations from each respective dietary pattern. Percent scores were calculated as a standardizing method and used in analyses for ease of comparing the dietary patterns. Scoring can be found in Appendix 2.


Demographic characteristics and clinical indicators. Demographic characteristics included age categories, sex, and race/ethnicity. Clinical indicators included BMI, the number of comorbid conditions used to calculate the Charlson Comorbidity Index, family history of CRC in first-degree relatives, number of follow-up colonoscopies across the study period, and food-based vitamin D intake.31 These variables were chosen for their applicability found in previous CSP #380 cohort studies.18,32,33 Self-reported race and ethnicity were collapsed due to small numbers in some groups. The authors acknowledge these are distinct concepts and the variable has limited utility other than for controlling for systemic racism in the model.
Statistical Analyses
Descriptive statistics were used to describe distributional assumptions for all variables, including demographics, clinical indicators, colonoscopy results, and dietary patterns. Pairwise correlations between the total dietary pattern scores and food category scores were calculated with Pearson correlation (r).
Multinomial logistic regression models were created using SAS procedure LOGISTIC with the outcome of the categorical MSCF (no neoplasia, nonadvanced adenoma, or AN).34 A model was created for each independent predictor variable of interest (ie, the HEI, MD, or DASH percentage-standardized dietary pattern score and each food category comprising each dietary pattern score). All models were adjusted for age, sex, race/ethnicity, BMI, number of comorbidities, family history of CRC, number of follow-up colonoscopies, and estimated daily food-derived vitamin D intake. The demographic and clinical indicators were included in the models as they are known to be associated with CRC risk.18 The number of colonoscopies was included to control for surveillance intensity presuming risk for AN is reduced as polyps are removed. Because colonoscopy findings from an initial screening have unique clinical implications compared with follow- up and surveillance, MSCF was observed in 2 ways in sensitivity analyses: (1) baseline and (2) aggregate follow-up and surveillance only, excluding baseline findings.
Adjusted odds ratios (aORs) and 95% CIs for each of the MSCF outcomes with a reference finding of no neoplasia for the models are presented. We chose not to adjust for multiple comparisons across the different dietary patterns given the correlation between dietary pattern total and category scores but did adjust for multiple comparisons for dietary categories within each dietary pattern. Tests for statistical significance used α= .05 for the dietary pattern total scores and P values for the dietary category scores for each dietary pattern controlled for false discovery rate using the MULTTEST SAS procedure.35 All data manipulations and analyses were performed using SAS version 9.4.
Results
The study included 3023 patients. All were aged 50 to 75 years, 2923 (96.7%) were male and 2532 (83.8%) were non-Hispanic White (Table 1). Most participants were overweight or obese (n = 2535 [83.8%]), 2024 (67.0%) had ≤ 2 comorbidities, and 2602 (86.1%) had no family history of CRC. The MSCF for 1628 patients (53.9%) was no neoplasia, 966 patients (32.0%) was nonadvanced adenoma, and 429 participants (14.2%) had AN.

Mean percent scores were 58.5% for HEI, 38.2% for MD, and 63.1% for the DASH diet, with higher percentages indicating greater alignment with the recommendations for each diet (Table 2). All 3 dietary patterns scores standardized to percentages were strongly and significantly correlated in pairwise comparisons: HEI:MD, r = 0.62 (P < .001); HEI:DASH, r = 0.60 (P < .001); and MD:DASH, r = 0.72 (P < .001). Likewise, food category scores were significantly correlated across dietary patterns. For example, whole grain and fiber values from each dietary score were strongly correlated in pairwise comparisons: HEI Whole Grain:MD Grain, r = 0.64 (P < .001); HEI Whole Grain:DASH Fiber, r = 0.71 (P < .001); and MD Grain:DASH Fiber, r = 0.70 (P < .001).

Associations between individual participants' dietary pattern scores and the outcome of their pooled MSCF from baseline screening and ≥ 10 years of surveillance are presented in Table 3. For each single-point increases in dietary pattern scores (reflecting better dietary quality), aORs for nonadvanced adenoma vs no neoplasia were slightly lower but not statistically significantly: HEI, aOR, 1.00 (95% CI, 0.99-1.01); MD, aOR, 0.98 (95% CI, 0.94-1.02); and DASH, aOR, 0.99 (95% CI, 0.99-1.00). aORs for AN vs no neoplasia were slightly lower for each dietary pattern assessed, and only the MD and DASH scores were significantly different from 1.00: HEI, aOR, 1.00 (95% CI, 0.99-1.01); MD, aOR, 0.95 (95% CI, 0.90-1.00); and DASH, aOR, 0.99 (95% CI, 0.98-1.00).

We observed lower odds for nonadvanced adenoma and AN among all these dietary patterns when there was greater alignment with the recommended intake of whole grains and fiber. In separate models conducted using food categories comprising the dietary patterns as independent variables and after correcting for multiple tests, higher scores for the HEI Refined Grain category were associated with higher odds for nonadvanced adenoma (aOR, 1.03 [95% CI, 1.01-1.05]; P = .01) and AN (aOR, 1.05 [95% CI, 1.02-1.08]; P < .001). Higher scores for the HEI Whole Grain category were associated with lower odds for nonadvanced adenoma (aOR, 0.97 [95% CI, 0.95-0.99]; P = .01) and AN (aOR, 0.96 [95% CI, 0.93-0.99]; P = .01). Higher scores for the MD Grain category were significantly associated with lower odds for nonadvanced adenoma (aOR, 0.44 [95% CI, 0.26-0.75]; P = .002) and AN (aOR, 0.29 [95% CI, 0.14-0.62]; P = .001). The DASH Grains category also was significantly associated with lower odds for AN (aOR, 0.86 [95% CI, 0.78-0.95]; P = .002).
Discussion
In this study of 3023 veterans undergoing first-time screening colonoscopy and ≥ 10 years of surveillance, we found that healthy dietary patterns, as assessed by the MD and DASH diet, were significantly associated with lower risk of AN. Additionally, we identified lower odds for AN and nonadvanced adenoma compared with no neoplasia for higher grain scores for all the dietary patterns studied. Other food categories that comprise the dietary pattern scores had mixed associations with the MSCF outcomes. Several other studies have examined associations between dietary patterns and risk for CRC but to our knowledge, no studies have explored these associations among US veterans.
These results also indicate study participants had better than average (based on a 50% threshold) dietary quality according to the HEI and DASH diet scoring methods we used, but poor dietary quality according to the MD scoring method. The mean HEI scores for the present study were higher than a US Department of Agriculture study by Dong et al that compared dietary quality between veterans and nonveterans using the HEI, for which veterans’ expected HEI score was 45.6 of 100.8 This could be explained by the fact that the participants needed to be healthy to be eligible and those with healthier behaviors overall may have self-selected into the study due to motivation for screening during a time when screening was not yet commonplace. 36 Similarly, participants of the present study had higher adherence to the DASH diet (63.1%) than adolescents with diabetes in a study by Günther et al. Conversely, firefighters who were coached to use a Mediterranean-style dietary pattern and dietary had higher adherence to MD than did participants in this study.27
A closer examination of specific food category component scores that comprise the 3 distinct dietary patterns revealed mixed results from the multinomial modeling, which may have to do with the guideline thresholds used to calculate the dietary scores. When analyzed separately in the logistic regression models for their associations with nonadvanced adenomas and AN compared with no neoplasia, higher MD and DASH fruit scores (but not HEI fruit scores) were found to be significant. Other studies have had mixed findings when attempting to test for associations of fruit intake with adenoma recurrence.10,37
This study had some unexpected findings. Vegetable intake was not associated with nonadvanced adenomas or AN risk. Studies of food categories have consistently found vegetable (specifically cruciferous ones) intake to be linked with lower odds for cancers.38 Likewise, the red meat category, which was only a unique food category in the MD score, was not associated with nonadvanced adenomas or AN. Despite consistent literature suggesting higher intake of red meat and processed meats increases CRC risk, in 2019 the Nutritional Recommendations Consortium indicated that the evidence was weak.39,40 This study showed higher DASH diet scores for low-fat dairy, which were maximized when participants reported at least 50% of their dairy servings per day as being low-fat, had lower odds for AN. Yet, the MD scores for low-fat dairy had no association with either outcome; their calculation was based on total number of servings per week. This difference in findings suggests the fat intake ratio may be more relevant to CRC risk than intake quantity.
The literature is mixed regarding fatty acid intake and CRC risk, which may be relevant to both dairy and meat intake. One systematic review and meta-analysis found dietary fat and types of fatty acid intake had no association with CRC risk.41 However, a more recent meta-analysis that assessed both dietary intake and plasma levels of fatty acids did find some statistically significant differences for various types of fatty acids and CRC risk.42
The findings in the present study that grain intake is associated with lower odds for more severe colonoscopy findings among veterans are notable.43 Lieberman et al, using the CSP #380 data, found that cereal fiber intake was associated with a lower odds for AN compared with hyperplastic polyps (OR, 0.98 [95% CI, 0.96- 1.00]).18 Similarly, Hullings et al determined that older adults in the highest quintile of cereal fiber intake had significantly lower odds of CRC than those in lower odds for CRC when compared with lowest quintile (OR, 0.89 [95% CI, 0.83- 0.96]; P < .001).44 These findings support existing guidance that prioritizes whole grains as a key source of dietary fiber for CRC prevention.
A recent literature review on fiber, fat, and CRC risk suggested a consensus regarding one protective mechanism: dietary fiber from grains modulates the gut microbiota by promoting butyrate synthesis.45 Butyrate is a short-chain fatty acid that supports energy production in colonocytes and has tumor-suppressing properties.46 Our findings suggest there could be more to learn about the relationship between butyrate production and reduction of CRC risk through metabolomic studies that use measurements of plasma butyrate. These studies may examine associations between not just a singular food or food category, but rather food patterns that include fruits, vegetables, nuts and seeds, and whole grains known to promote butyrate production and plasma butyrate.47
Improved understanding of mechanisms and risk-modifying lifestyle factors such as dietary patterns may enhance prevention strategies. Identifying the collective chemopreventive characteristics of a specific dietary pattern (eg, MD) will be helpful to clinicians and health care staff to promote healthy eating to reduce cancer risk. More studies are needed to understand whether such promotion is more clinically applicable and effective for patients, as compared with eating more or less of specific foods (eg, more whole grains, less red meat). Furthermore, considering important environmental factors collectively beyond dietary patterns may offer a way to better tailor screening and implement a variety of lifestyle interventions. In the literature, this is often referred to as a teachable moment when patients’ attentions are captured and may position them to be more receptive to guidance.48
Limitations
This study has several important limitations and leaves opportunities for future studies that explore the role of dietary patterns and AN or CRC risk. First, the FFQ data used to calculate dietary pattern scores used in analysis were only captured at baseline, and there are nearly 3 decades across the study period. However, it is widely assumed that the diets of older adults, like those included in this study, remain stable over time which is appropriate given our sample population was aged 50 to 75 years when the baseline FFQ data were collected.49-51 Additionally, while the HEI is a well-documented, standard scoring method for dietary quality, there are multitudes of dietary pattern scoring approaches for MD and DASH.23,52,53 Finally, findings from this study using the sample of veterans may not be generalizable to a broader population. Future longitudinal studies that test for a clinically significant change threshold are warranted.
Conclusion
Results of this study suggest future research should further explore the effects of dietary patterns, particularly intake of specific food groups in combination, as opposed to individual nutrients or food items, on AN and CRC risk. Possible studies might explore these dietary patterns for their mechanistic role in altering the microbiome metabolism, which may influence CRC outcomes or include diet in a more comprehensive, holistic risk score that could be used to predict colonic neoplasia risk or in intervention studies that assess the effects of dietary changes on long-term CRC prevention. We suggest there are differences in people’s dietary intake patterns that might be important to consider when implementing tailored approaches to CRC risk mitigation.
- Zauber AG, Winawer SJ, O’Brien MJ, et al. Colonoscopic polypectomy and long-term prevention of colorectalcancer deaths. N Engl J Med. 2012;366(8):687-696. doi:10.1056/NEJMoa1100370
- Nishihara R, Wu K, Lochhead P, et al. Long-term colorectal-cancer incidence and mortality after lower endoscopy. N Engl J Med. 2013;369(12):1095-1105. doi:10.1056/NEJMoa1301969
- Bretthauer M, Løberg M, Wieszczy P, et al. Effect of colonoscopy screening on risks of colorectal cancer and related death. N Engl J Med. 2022;387(17):1547-1556. doi:10.1056/NEJMoa2208375
- Cottet V, Bonithon-Kopp C, Kronborg O, et al. Dietary patterns and the risk of colorectal adenoma recurrence in a European intervention trial. Eur J Cancer Prev. 2005;14(1):21.
- Miller PE, Lesko SM, Muscat JE, Lazarus P, Hartman TJ. Dietary patterns and colorectal adenoma and cancer risk: a review of the epidemiological evidence. Nutr Cancer. 2010;62(4):413-424. doi:10.1080/01635580903407114
- Godos J, Bella F, Torrisi A, Sciacca S, Galvano F, Grosso G. Dietary patterns and risk of colorectal adenoma: a systematic review and meta-analysis of observational studies. J Hum Nutr Diet Off J Br Diet Assoc. 2016;29(6):757-767. doi:10.1111/jhn.12395
- Haggar FA, Boushey RP. Colorectal cancer epidemiology: incidence, mortality, survival, and risk factors. Clin Colon Rectal Surg. 2009;22(4):191-197. doi:10.1055/s-0029-1242458
- Dong D, Stewart H, Carlson AC. An Examination of Veterans’ Diet Quality. U.S. Department of Agriculture, Economic Research Service; 2019:32.
- El-Halabi MM, Rex DK, Saito A, Eckert GJ, Kahi CJ. Defining adenoma detection rate benchmarks in average-risk male veterans. Gastrointest Endosc. 2019;89(1):137-143. doi:10.1016/j.gie.2018.08.021
- Alberts DS, Hess LM, eds. Fundamentals of Cancer Prevention. Springer International Publishing; 2019. doi:10.1007/978-3-030-15935-1
- Dahm CC, Keogh RH, Spencer EA, et al. Dietary fiber and colorectal cancer risk: a nested case-control study using food diaries. J Natl Cancer Inst. 2010;102(9):614-626. doi:10.1093/jnci/djq092
- Aune D, Lau R, Chan DSM, et al. Dairy products and colorectal cancer risk: a systematic review and metaanalysis of cohort studies. Ann Oncol. 2012;23(1):37-45. doi:10.1093/annonc/mdr269
- Lee JE, Li H, Chan AT, et al. Circulating levels of vitamin D and colon and rectal cancer: the Physicians’ Health Study and a meta-analysis of prospective studies. Cancer Prev Res Phila Pa. 2011;4(5):735-743. doi:10.1158/1940-6207.CAPR-10-0289
- Carroll C, Cooper K, Papaioannou D, Hind D, Pilgrim H, Tappenden P. Supplemental calcium in the chemoprevention of colorectal cancer: a systematic review and meta-analysis. Clin Ther. 2010;32(5):789-803. doi:10.1016/j.clinthera.2010.04.024
- Park Y, Spiegelman D, Hunter DJ, et al. Intakes of vitamins A, C, and E and use of multiple vitamin supplements and risk of colon cancer: a pooled analysis of prospective cohort studies. Cancer Causes Control CCC. 2010;21(11):1745- 1757. doi:10.1007/s10552-010-9549-y
- Alexander DD, Weed DL, Miller PE, Mohamed MA. Red meat and colorectal cancer: a quantitative update on the state of the epidemiologic science. J Am Coll Nutr. 2015;34(6):521-543. doi:10.1080/07315724.2014.992553
- Park SY, Wilkens LR, Setiawan VW, Monroe KR, Haiman CA, Le Marchand L. Alcohol intake and colorectal cancer risk in the multiethnic cohort study. Am J Epidemiol. 2019;188(1):67-76. doi:10.1093/aje/kwy208
- Lieberman DA. Risk Factors for advanced colonic neoplasia and hyperplastic polyps in asymptomatic individuals. JAMA. 2003;290(22):2959. doi:10.1001/jama.290.22.2959
- Archambault AN, Jeon J, Lin Y, et al. Risk stratification for early-onset colorectal cancer using a combination of genetic and environmental risk scores: an international multi-center study. J Natl Cancer Inst. 2022;114(4):528-539. doi:10.1093/jnci/djac003
- Carr PR, Weigl K, Edelmann D, et al. Estimation of absolute risk of colorectal cancer based on healthy lifestyle, genetic risk, and colonoscopy status in a populationbased study. Gastroenterology. 2020;159(1):129-138.e9. doi:10.1053/j.gastro.2020.03.016
- Sullivan BA, Qin X, Miller C, et al. Screening colonoscopy findings are associated with noncolorectal cancer mortality. Clin Transl Gastroenterol. 2022;13(4):e00479. doi:10.14309/ctg.0000000000000479
- Erben V, Carr PR, Holleczek B, Stegmaier C, Hoffmeister M, Brenner H. Dietary patterns and risk of advanced colorectal neoplasms: A large population based screening study in Germany. Prev Med. 2018;111:101-109. doi:10.1016/j.ypmed.2018.02.025
- Donovan MG, Selmin OI, Doetschman TC, Romagnolo DF. Mediterranean diet: prevention of colorectal cancer. Front Nutr. 2017;4:59. doi:10.3389/fnut.2017.00059
- Mohseni R, Mohseni F, Alizadeh S, Abbasi S. The Association of Dietary Approaches to Stop Hypertension (DASH) diet with the risk of colorectal cancer: a meta-analysis of observational studies.Nutr Cancer. 2020;72(5):778-790. doi:10.1080/01635581.2019.1651880
- Lieberman DA, Weiss DG, Bond JH, Ahnen DJ, Garewal H, Chejfec G. Use of colonoscopy to screen asymptomatic adults for colorectal cancer. Veterans Affairs Cooperative Study Group 380. N Engl J Med. 2000;343(3):162-168. doi:10.1056/NEJM200007203430301
- Developing the Healthy Eating Index (HEI) | EGRP/ DCCPS/NCI/NIH. Accessed July 22, 2025. https://epi.grants.cancer.gov/hei/developing.html#2015c
- Reeve E, Piccici F, Feairheller DL. Validation of a Mediterranean diet scoring system for intervention based research. J Nutr Med Diet Care. 2021;7(1):053. doi:10.23937/2572-3278/1510053
- Günther AL, Liese AD, Bell RA, et al. ASSOCIATION BETWEEN THE DIETARY APPROACHES TO HYPERTENSION (DASH) DIET AND HYPERTENSION IN YOUTH WITH DIABETES. Hypertens Dallas Tex 1979. 2009;53(1):6-12. doi:10.1161/HYPERTENSIONAHA.108.116665
- Buckland G, Agudo A, Luján L, et al. Adherence to a Mediterranean diet and risk of gastric adenocarcinoma within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort study. Am J Clin Nutr. 2010;91(2):381- 390. doi:10.3945/ajcn.2009.28209
- Rimm EB, Giovannucci EL, Stampfer MJ, Colditz GA, Litin LB, Willett WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol. 1992;135(10):1114-1126. doi:10.1093/oxfordjournals.aje.a116211
- Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-383. doi:10.1016/0021-9681(87)90171-8
- Lieberman DA, Weiss DG, Harford WV, et al. Fiveyear colon surveillance after screening colonoscopy. Gastroenterology. 2007;133(4):1077-1085. doi:10.1053/j.gastro.2007.07.006
- Lieberman D, Sullivan BA, Hauser ER, et al. Baseline colonoscopy findings associated with 10-year outcomes in a screening cohort undergoing colonoscopy surveillance. Gastroenterology. 2020;158(4):862-874.e8. doi:10.1053/j.gastro.2019.07.052
- PROC LOGISTIC: PROC LOGISTIC Statement : SAS/STAT(R) 9.22 User’s Guide. Accessed July 22, 2025. https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/viewer.htm#statug_logistic_sect004.htm
- PROC MULTTEST: PROC MULTTEST Statement : SAS/ STAT(R) 9.22 User’s Guide. Accessed July 22, 2025. https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/viewer.htm#statug_multtest_sect005.htm
- Elston DM. Participation bias, self-selection bias, and response bias. J Am Acad Dermatol. Published online June 18, 2021. doi:10.1016/j.jaad.2021.06.025
- Sansbury LB, Wanke K, Albert PS, et al. The effect of strict adherence to a high-fiber, high-fruit and -vegetable, and low-fat eating pattern on adenoma recurrence. Am J Epidemiol. 2009;170(5):576-584. doi:10.1093/aje/kwp169
- Borgas P, Gonzalez G, Veselkov K, Mirnezami R. Phytochemically rich dietary components and the risk of colorectal cancer: A systematic review and meta-analysis of observational studies. World J Clin Oncol. 2021;12(6):482- 499. doi:10.5306/wjco.v12.i6.482
- Papadimitriou N, Markozannes G, Kanellopoulou A, et al. An umbrella review of the evidence associating diet and cancer risk at 11 anatomical sites. Nat Commun. 2021;12(1):4579. doi:10.1038/s41467-021-24861-8
- Johnston BC, Zeraatkar D, Han MA, et al. Unprocessed red meat and processed meat consumption: dietary guideline recommendations from the nutritional recommendations (NutriRECS) Consortium. Ann Intern Med. 2019;171(10):756-764. doi:10.7326/M19-1621
- Kim M, Park K. Dietary fat intake and risk of colorectal cancer: a systematic review and meta-analysis of prospective studies. Nutrients. 2018;10(12):1963. doi:10.3390/nu10121963
- Lu Y, Li D, Wang L, et al. Comprehensive investigation on associations between dietary intake and blood levels of fatty acids and colorectal cancer risk. Nutrients. 2023;15(3):730. doi:10.3390/nu15030730
- Gherasim A, Arhire LI, Ni.a O, Popa AD, Graur M, Mihalache L. The relationship between lifestyle components and dietary patterns. Proc Nutr Soc. 2020;79(3):311-323. doi:10.1017/S0029665120006898
- Hullings AG, Sinha R, Liao LM, Freedman ND, Graubard BI, Loftfield E. Whole grain and dietary fiber intake and risk of colorectal cancer in the NIH-AARP Diet and Health Study cohort. Am J Clin Nutr. 2020;112(3):603- 612. doi:10.1093/ajcn/nqaa161
- Ocvirk S, Wilson AS, Appolonia CN, Thomas TK, O’Keefe SJD. Fiber, fat, and colorectal cancer: new insight into modifiable dietary risk factors. Curr Gastroenterol Rep. 2019;21(11):62. doi:10.1007/s11894-019-0725-2
- O’Keefe SJD. Diet, microorganisms and their metabolites, and colon cancer. Nat Rev Gastroenterol Hepatol. 2016;13(12):691-706. doi:10.1038/nrgastro.2016.165
- The health benefits and side effects of Butyrate Cleveland Clinic. July 11, 2022. Accessed July 22, 2025. https://health.clevelandclinic.org/butyrate-benefits/
- Knudsen MD, Wang L, Wang K, et al. Changes in lifestyle factors after endoscopic screening: a prospective study in the United States. Clin Gastroenterol Hepatol Off ClinPract J Am Gastroenterol Assoc. 2022;20(6):e1240-e1249. doi:10.1016/j.cgh.2021.07.014
- Thorpe MG, Milte CM, Crawford D, McNaughton SA. Education and lifestyle predict change in dietary patterns and diet quality of adults 55 years and over. Nutr J. 2019;18(1):67. doi:10.1186/s12937-019-0495-6
- Chapman K, Ogden J. How do people change their diet?: an exploration into mechanisms of dietary change. J Health Psychol. 2009;14(8):1229-1242. doi:10.1177/1359105309342289
- Djoussé L, Petrone AB, Weir NL, et al. Repeated versus single measurement of plasma omega-3 fatty acids and risk of heart failure. Eur J Nutr. 2014;53(6):1403-1408. doi:10.1007/s00394-013-0642-3
- Bach-Faig A, Berry EM, Lairon D, et al. Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr. 2011;14(12A):2274-2284. doi:10.1017/S1368980011002515
- Miller PE, Cross AJ, Subar AF, et al. Comparison of 4 established DASH diet indexes: examining associations of index scores and colorectal cancer123. Am J Clin Nutr. 2013;98(3):794-803. doi:10.3945/ajcn.113.063602
- Krebs-Smith SM, Pannucci TE, Subar AF, et al. Update of the Healthy Eating Index: HEI-2015. J Acad Nutr Diet. 2018;118(9):1591-1602. doi:10.1016/j.jand.2018.05.021
- P.R. Pehrsson, Cutrufelli RL, Gebhardt SE, et al. USDA Database for the Added Sugars Content of Selected Foods. USDA; 2005. www.ars.usda.gov/nutrientdata
- Zauber AG, Winawer SJ, O’Brien MJ, et al. Colonoscopic polypectomy and long-term prevention of colorectalcancer deaths. N Engl J Med. 2012;366(8):687-696. doi:10.1056/NEJMoa1100370
- Nishihara R, Wu K, Lochhead P, et al. Long-term colorectal-cancer incidence and mortality after lower endoscopy. N Engl J Med. 2013;369(12):1095-1105. doi:10.1056/NEJMoa1301969
- Bretthauer M, Løberg M, Wieszczy P, et al. Effect of colonoscopy screening on risks of colorectal cancer and related death. N Engl J Med. 2022;387(17):1547-1556. doi:10.1056/NEJMoa2208375
- Cottet V, Bonithon-Kopp C, Kronborg O, et al. Dietary patterns and the risk of colorectal adenoma recurrence in a European intervention trial. Eur J Cancer Prev. 2005;14(1):21.
- Miller PE, Lesko SM, Muscat JE, Lazarus P, Hartman TJ. Dietary patterns and colorectal adenoma and cancer risk: a review of the epidemiological evidence. Nutr Cancer. 2010;62(4):413-424. doi:10.1080/01635580903407114
- Godos J, Bella F, Torrisi A, Sciacca S, Galvano F, Grosso G. Dietary patterns and risk of colorectal adenoma: a systematic review and meta-analysis of observational studies. J Hum Nutr Diet Off J Br Diet Assoc. 2016;29(6):757-767. doi:10.1111/jhn.12395
- Haggar FA, Boushey RP. Colorectal cancer epidemiology: incidence, mortality, survival, and risk factors. Clin Colon Rectal Surg. 2009;22(4):191-197. doi:10.1055/s-0029-1242458
- Dong D, Stewart H, Carlson AC. An Examination of Veterans’ Diet Quality. U.S. Department of Agriculture, Economic Research Service; 2019:32.
- El-Halabi MM, Rex DK, Saito A, Eckert GJ, Kahi CJ. Defining adenoma detection rate benchmarks in average-risk male veterans. Gastrointest Endosc. 2019;89(1):137-143. doi:10.1016/j.gie.2018.08.021
- Alberts DS, Hess LM, eds. Fundamentals of Cancer Prevention. Springer International Publishing; 2019. doi:10.1007/978-3-030-15935-1
- Dahm CC, Keogh RH, Spencer EA, et al. Dietary fiber and colorectal cancer risk: a nested case-control study using food diaries. J Natl Cancer Inst. 2010;102(9):614-626. doi:10.1093/jnci/djq092
- Aune D, Lau R, Chan DSM, et al. Dairy products and colorectal cancer risk: a systematic review and metaanalysis of cohort studies. Ann Oncol. 2012;23(1):37-45. doi:10.1093/annonc/mdr269
- Lee JE, Li H, Chan AT, et al. Circulating levels of vitamin D and colon and rectal cancer: the Physicians’ Health Study and a meta-analysis of prospective studies. Cancer Prev Res Phila Pa. 2011;4(5):735-743. doi:10.1158/1940-6207.CAPR-10-0289
- Carroll C, Cooper K, Papaioannou D, Hind D, Pilgrim H, Tappenden P. Supplemental calcium in the chemoprevention of colorectal cancer: a systematic review and meta-analysis. Clin Ther. 2010;32(5):789-803. doi:10.1016/j.clinthera.2010.04.024
- Park Y, Spiegelman D, Hunter DJ, et al. Intakes of vitamins A, C, and E and use of multiple vitamin supplements and risk of colon cancer: a pooled analysis of prospective cohort studies. Cancer Causes Control CCC. 2010;21(11):1745- 1757. doi:10.1007/s10552-010-9549-y
- Alexander DD, Weed DL, Miller PE, Mohamed MA. Red meat and colorectal cancer: a quantitative update on the state of the epidemiologic science. J Am Coll Nutr. 2015;34(6):521-543. doi:10.1080/07315724.2014.992553
- Park SY, Wilkens LR, Setiawan VW, Monroe KR, Haiman CA, Le Marchand L. Alcohol intake and colorectal cancer risk in the multiethnic cohort study. Am J Epidemiol. 2019;188(1):67-76. doi:10.1093/aje/kwy208
- Lieberman DA. Risk Factors for advanced colonic neoplasia and hyperplastic polyps in asymptomatic individuals. JAMA. 2003;290(22):2959. doi:10.1001/jama.290.22.2959
- Archambault AN, Jeon J, Lin Y, et al. Risk stratification for early-onset colorectal cancer using a combination of genetic and environmental risk scores: an international multi-center study. J Natl Cancer Inst. 2022;114(4):528-539. doi:10.1093/jnci/djac003
- Carr PR, Weigl K, Edelmann D, et al. Estimation of absolute risk of colorectal cancer based on healthy lifestyle, genetic risk, and colonoscopy status in a populationbased study. Gastroenterology. 2020;159(1):129-138.e9. doi:10.1053/j.gastro.2020.03.016
- Sullivan BA, Qin X, Miller C, et al. Screening colonoscopy findings are associated with noncolorectal cancer mortality. Clin Transl Gastroenterol. 2022;13(4):e00479. doi:10.14309/ctg.0000000000000479
- Erben V, Carr PR, Holleczek B, Stegmaier C, Hoffmeister M, Brenner H. Dietary patterns and risk of advanced colorectal neoplasms: A large population based screening study in Germany. Prev Med. 2018;111:101-109. doi:10.1016/j.ypmed.2018.02.025
- Donovan MG, Selmin OI, Doetschman TC, Romagnolo DF. Mediterranean diet: prevention of colorectal cancer. Front Nutr. 2017;4:59. doi:10.3389/fnut.2017.00059
- Mohseni R, Mohseni F, Alizadeh S, Abbasi S. The Association of Dietary Approaches to Stop Hypertension (DASH) diet with the risk of colorectal cancer: a meta-analysis of observational studies.Nutr Cancer. 2020;72(5):778-790. doi:10.1080/01635581.2019.1651880
- Lieberman DA, Weiss DG, Bond JH, Ahnen DJ, Garewal H, Chejfec G. Use of colonoscopy to screen asymptomatic adults for colorectal cancer. Veterans Affairs Cooperative Study Group 380. N Engl J Med. 2000;343(3):162-168. doi:10.1056/NEJM200007203430301
- Developing the Healthy Eating Index (HEI) | EGRP/ DCCPS/NCI/NIH. Accessed July 22, 2025. https://epi.grants.cancer.gov/hei/developing.html#2015c
- Reeve E, Piccici F, Feairheller DL. Validation of a Mediterranean diet scoring system for intervention based research. J Nutr Med Diet Care. 2021;7(1):053. doi:10.23937/2572-3278/1510053
- Günther AL, Liese AD, Bell RA, et al. ASSOCIATION BETWEEN THE DIETARY APPROACHES TO HYPERTENSION (DASH) DIET AND HYPERTENSION IN YOUTH WITH DIABETES. Hypertens Dallas Tex 1979. 2009;53(1):6-12. doi:10.1161/HYPERTENSIONAHA.108.116665
- Buckland G, Agudo A, Luján L, et al. Adherence to a Mediterranean diet and risk of gastric adenocarcinoma within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort study. Am J Clin Nutr. 2010;91(2):381- 390. doi:10.3945/ajcn.2009.28209
- Rimm EB, Giovannucci EL, Stampfer MJ, Colditz GA, Litin LB, Willett WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol. 1992;135(10):1114-1126. doi:10.1093/oxfordjournals.aje.a116211
- Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-383. doi:10.1016/0021-9681(87)90171-8
- Lieberman DA, Weiss DG, Harford WV, et al. Fiveyear colon surveillance after screening colonoscopy. Gastroenterology. 2007;133(4):1077-1085. doi:10.1053/j.gastro.2007.07.006
- Lieberman D, Sullivan BA, Hauser ER, et al. Baseline colonoscopy findings associated with 10-year outcomes in a screening cohort undergoing colonoscopy surveillance. Gastroenterology. 2020;158(4):862-874.e8. doi:10.1053/j.gastro.2019.07.052
- PROC LOGISTIC: PROC LOGISTIC Statement : SAS/STAT(R) 9.22 User’s Guide. Accessed July 22, 2025. https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/viewer.htm#statug_logistic_sect004.htm
- PROC MULTTEST: PROC MULTTEST Statement : SAS/ STAT(R) 9.22 User’s Guide. Accessed July 22, 2025. https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/viewer.htm#statug_multtest_sect005.htm
- Elston DM. Participation bias, self-selection bias, and response bias. J Am Acad Dermatol. Published online June 18, 2021. doi:10.1016/j.jaad.2021.06.025
- Sansbury LB, Wanke K, Albert PS, et al. The effect of strict adherence to a high-fiber, high-fruit and -vegetable, and low-fat eating pattern on adenoma recurrence. Am J Epidemiol. 2009;170(5):576-584. doi:10.1093/aje/kwp169
- Borgas P, Gonzalez G, Veselkov K, Mirnezami R. Phytochemically rich dietary components and the risk of colorectal cancer: A systematic review and meta-analysis of observational studies. World J Clin Oncol. 2021;12(6):482- 499. doi:10.5306/wjco.v12.i6.482
- Papadimitriou N, Markozannes G, Kanellopoulou A, et al. An umbrella review of the evidence associating diet and cancer risk at 11 anatomical sites. Nat Commun. 2021;12(1):4579. doi:10.1038/s41467-021-24861-8
- Johnston BC, Zeraatkar D, Han MA, et al. Unprocessed red meat and processed meat consumption: dietary guideline recommendations from the nutritional recommendations (NutriRECS) Consortium. Ann Intern Med. 2019;171(10):756-764. doi:10.7326/M19-1621
- Kim M, Park K. Dietary fat intake and risk of colorectal cancer: a systematic review and meta-analysis of prospective studies. Nutrients. 2018;10(12):1963. doi:10.3390/nu10121963
- Lu Y, Li D, Wang L, et al. Comprehensive investigation on associations between dietary intake and blood levels of fatty acids and colorectal cancer risk. Nutrients. 2023;15(3):730. doi:10.3390/nu15030730
- Gherasim A, Arhire LI, Ni.a O, Popa AD, Graur M, Mihalache L. The relationship between lifestyle components and dietary patterns. Proc Nutr Soc. 2020;79(3):311-323. doi:10.1017/S0029665120006898
- Hullings AG, Sinha R, Liao LM, Freedman ND, Graubard BI, Loftfield E. Whole grain and dietary fiber intake and risk of colorectal cancer in the NIH-AARP Diet and Health Study cohort. Am J Clin Nutr. 2020;112(3):603- 612. doi:10.1093/ajcn/nqaa161
- Ocvirk S, Wilson AS, Appolonia CN, Thomas TK, O’Keefe SJD. Fiber, fat, and colorectal cancer: new insight into modifiable dietary risk factors. Curr Gastroenterol Rep. 2019;21(11):62. doi:10.1007/s11894-019-0725-2
- O’Keefe SJD. Diet, microorganisms and their metabolites, and colon cancer. Nat Rev Gastroenterol Hepatol. 2016;13(12):691-706. doi:10.1038/nrgastro.2016.165
- The health benefits and side effects of Butyrate Cleveland Clinic. July 11, 2022. Accessed July 22, 2025. https://health.clevelandclinic.org/butyrate-benefits/
- Knudsen MD, Wang L, Wang K, et al. Changes in lifestyle factors after endoscopic screening: a prospective study in the United States. Clin Gastroenterol Hepatol Off ClinPract J Am Gastroenterol Assoc. 2022;20(6):e1240-e1249. doi:10.1016/j.cgh.2021.07.014
- Thorpe MG, Milte CM, Crawford D, McNaughton SA. Education and lifestyle predict change in dietary patterns and diet quality of adults 55 years and over. Nutr J. 2019;18(1):67. doi:10.1186/s12937-019-0495-6
- Chapman K, Ogden J. How do people change their diet?: an exploration into mechanisms of dietary change. J Health Psychol. 2009;14(8):1229-1242. doi:10.1177/1359105309342289
- Djoussé L, Petrone AB, Weir NL, et al. Repeated versus single measurement of plasma omega-3 fatty acids and risk of heart failure. Eur J Nutr. 2014;53(6):1403-1408. doi:10.1007/s00394-013-0642-3
- Bach-Faig A, Berry EM, Lairon D, et al. Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr. 2011;14(12A):2274-2284. doi:10.1017/S1368980011002515
- Miller PE, Cross AJ, Subar AF, et al. Comparison of 4 established DASH diet indexes: examining associations of index scores and colorectal cancer123. Am J Clin Nutr. 2013;98(3):794-803. doi:10.3945/ajcn.113.063602
- Krebs-Smith SM, Pannucci TE, Subar AF, et al. Update of the Healthy Eating Index: HEI-2015. J Acad Nutr Diet. 2018;118(9):1591-1602. doi:10.1016/j.jand.2018.05.021
- P.R. Pehrsson, Cutrufelli RL, Gebhardt SE, et al. USDA Database for the Added Sugars Content of Selected Foods. USDA; 2005. www.ars.usda.gov/nutrientdata
Associations Between Prescreening Dietary Patterns and Longitudinal Colonoscopy Outcomes in Veterans
Associations Between Prescreening Dietary Patterns and Longitudinal Colonoscopy Outcomes in Veterans
Cosmetic Laser Procedures and Nonsurgical Body Contouring in Patients With Skin of Color
Cosmetic Laser Procedures and Nonsurgical Body Contouring in Patients With Skin of Color
Cosmetic laser procedures as well as energy-based fat reduction and body-contouring devices are increasingly popular among individuals with skin of color (SOC). Innovations in cosmetic devices and procedures tailored for SOC have allowed for the optimization of outcomes in this patient population. In this article, SOC is defined as darker skin types, including Fitzpatrick skin types (FSTs) IV to VI and ethnic backgrounds such as LatinX, African American, Southeast Asian, Native American, Pacific Islander, Middle Eastern, Asian, and African. Indications for laser treatment include dermatosis papulosa nigrans (DPN), acne scars, skin rejuvenation, and hyperpigmentation. There currently are 6 procedures for nonsurgical fat reduction that are approved by the US Food and Drug Administration (FDA): high-frequency focused ultrasound, cryolipolysis, laser lipolysis, injection lipolysis, radiofrequency lipolysis, and magnetic resonance contouring (Supplementary Table S1).1
In this review, our initial focus is cosmetic laser procedures, encompassing FDA-cleared indications along with the associated risks and benefits in SOC populations. Subsequently, we delve into the realms of energy-based fat reduction and body contouring, offering a comprehensive overview of these noninvasive therapies and addressing considerations for efficacy and safety in these patients.
Dermatosis Papulosa Nigra
In patients with SOC, scissor excision, curettage, or electrodesiccation are the mainstay treatments for removal of DPN (Figure 1). Curettage and electrodesiccation can cause temporary postinflammatory hyperpigmentation (PIH) in these populations, while cryotherapy is not a preferred method in patients with SOC due to the possibility of cryotherapy-induced depigmentation. In a 14-patient split-face study comparing the 532-nm potassium titanyl phosphate (KTP) laser vs electrodesiccation in FSTs IV to VI, the KTP-treated side showed an improvement rate of 96%, while the electrodesiccation side showed an improvement rate of 79%. There was a statistically significant favorable experience for KTP with regard to pain tolerability (P=.002).2 Complete resolution of lesions may be seen after 3 to 4 sessions at 4-week intervals. Additionally, the 1064-nm Nd:YAG laser was assessed for treatment of DPN in 2 patients, with 70% to 90% of lesions resolved after a single treatment with no complications.3

Most dermatologists still rely on curettage and electrodesiccation instead of laser therapy to remove DPNs in patients with SOC. The use of the Nd:YAG laser is promising yet expensive for the provider both to purchase and maintain. Electrodesiccation has been used by dermatology practices for decades and can be used without permanent discoloration. To minimize the risk for PIH, we recommend application of a healing ointment such as petroleum jelly or aloe vera gel to the treated lesions as well as lightening agents for PIH and daily use of sunscreen. Overall, providers do not need to purchase an expensive laser device for DPN removal.
Acne Scars
The invention of fractional technology in the early 2000s and its favorable safety profile have changed how dermatologists treat scarring in patients with SOC.
In one study of the short-pulsed nonablative Nd:YAG laser, 9 patients with FSTs I to V and 2 patients with FSTs IV to V underwent 8 treatments at 2-week intervals. Three blinded observers found a 29% improvement in the Global Acne Scar Severity score, while 89% (8/9) of patients self-reported subjective improvement in their acne scars.10
The 755-nm picosecond laser and diffractive lens array also have been shown to reduce the appearance of acne scars in patients with SOC, as shown via serial photography in a retrospective study of 56 patients with FSTs IV to VI. Transient hyperpigmentation, erythema, and edema were reported.11
Nonablative laser therapy is preferred for skin rejuvenation in patients with SOC due to a reduced risk for postprocedural hyperpigmentation.11 Ablative resurfacing (eg, CO2 laser) poses major risks for postprocedural hyperpigmentation, hypopigmentation, and scar formation and therefore should be avoided in these populations.12,13 A study involving 30 Asian patients (FSTs III-IV) demonstrated that the 1550-nm fractional laser was well tolerated, though higher treatment densities and fluences may lead to temporary adverse effects such as increased redness, swelling, and pain (P<.01).14 Furthermore, greater density was shown to cause higher levels of redness, hyperpigmentation, and swelling in comparison to higher fluence settings. Of note, patient satisfaction was markedly higher in patients who underwent treatment with higher fluence settings but not in patients with higher densities (P<.05). Postprocedural hyperpigmentation was noted in 6.7% (2/30) of patients studied.14 In another study, 8 patients with FSTs II to V were treated with either the 1064-nm long-pulsed Nd:YAG laser or the grid fractional monopolar radiofrequency laser.15 All participants experienced a significant decrease in mean wrinkle count using the Lemperle wrinkle assessment (P<.05). A significant decrease in mean wrinkle assessment score from 3.5 to 3.17 in clinical assessment and a decrease from 3.165 to 2.33 for photographic assessment was noted in patients treated with the grid laser (P<.05). A similar decrease in mean wrinkle assessment score was observed in the Nd:YAG group, with a mean decrease of 3.665 to 2.83 after 2 months for clinical assessment and 3.5 to 2.67 for photographic assessment. Among all patients in the study, 68% (6/8) experienced erythema, 25% (2/8) had a burning sensation, and 25% (2/8) experienced urticaria immediately postprocedure.15
Nonablative fractional resurfacing is preferred for the management of acne scars in patients with SOC. Adverse effects such as hyperpigmentation typically are transient, and the risk may be minimized with strict photoprotective practices following the procedure. Furthermore, avoidance of topicals containing exfoliants or α-hydroxy acids applied to the treated area following the procedure also may mitigate the risk for postprocedural hyperpigmentation.16 If hyperpigmentation does occur, use of topical melanogenesis inhibitors such as hydroquinone, kojic acid, or azelaic acid has shown some utility in practice.
Skin Rejuvenation
Nonablative fractional lasers (NAFLs) continue to be popular for treatment of photoaging. One study including 10 Asian patients (FSTs III-V) assessed the 1440-nm diode-based fractional laser for facial rejuvenation.17 After 4 sessions at 2-week intervals, 80% (8/10) of patients reported decreased skin roughness after both the second and third treatments, while 90% (9/10) had improved texture 1 month after the final procedure. Adverse effects included moderate facial edema and one case of transient hyperpigmentation.17 Another study reported a significant reduction in pore score (P<.002), with patients noting an overall improvement in skin appearance with minimal erythema, dryness, and flaking following 6 sessions at 2-week intervals using the 1440-nm diode-based fractional laser.18
The 1550-nm diode fractional laser significantly improved skin pigmentation (P<.001) and texture (P<.001) in 10 patients with FSTs II to IV following 5 sessions at 2- to 3-week intervals, with self-resolving erythema and edema posttreatment (Supplementary Table S2).19 Overall, NAFLs for the treatment of photoaging are effective with minimal adverse effects (eg, facial edema), which can be reduced with application of cold compression to the face and elevation of the head following treatment as well as the use of additional pillows during overnight sleep.
Laser Treatment for Hyperpigmentation Disorders
Melasma—The FDA recently approved fractional photothermolysis for the treatment of melasma; however, due to the risk for hyperpigmentation given its pathogenesis linked to hyperactive melanocytes, this laser is not considered a first-line therapy for melasma.20 In a split-face, randomized study, 22 patients with FSTs III to V who were diagnosed with either dermal or mixed-type melasma were treated with a low-fluence Q-switched Nd:YAG laser combined with hydroquinone 2% vs hydroquinone 2% alone (Supplementary Table S3).21 Each patient was treated weekly for 5 consecutive weeks. The laser-treated side was found to reach an average of 92.5% improvement compared with 19.7% on the hydroquinone-only side. Three of the 22 (13.6%) patients developed mottled hypopigmentation after 5 laser treatments, and 8 (36.4%) developed confetti-type hypopigmentation. Four (18.2%) patients developed rebound hyperpigmentation, and all 22 patients experienced recurrence of melasma by 12 weeks posttreatment.21
First-line treatment for melasma involves the application of topical lightening agents such as hydroquinone, azelaic acid, kojic acid, retinoids, or mild topical steroids. Combining laser technology with topical medications can enhance treatment outcomes, particularly yielding positive results for patients with persistent pigmentation concerns. Notably, utilization of 650-microsecond technology with the 1064-nm Nd:YAG laser is considered superior in clinical practice, especially for patients with FSTs IV through VI.
Postinflammatory Hyperpigmentation—A retrospective evaluation of 61 patients with FSTs IV to VI with PIH treated with a 1927-nm NAFL showed a mean improvement of 43.24%, as assessed by 2 dermatologists.22 Additionally, the Nd:YAG 1064-nm 650-microsecond pulse duration laser is an emerging treatment that delivers high and low fluences between 4 J/cm2 and 255 J/cm2 within a single 650-microsecond pulse duration.23 The short-pulse duration avoids overheating the skin, mitigating procedural discomfort and the risk for adverse effects commonly seen with the previous generation of low-pulsed lasers. In addition to PIH, this laser has been successfully used to treat pseudofolliculitis barbae.24
Solar Lentigos—In a split-face study treating solar lentigos in Asian patients, 4 treatments with a low-pulsed KTP 532-nm laser were administered with and without a second treatment with a low-pulsed 1064-nm Nd:YAG laser.25 Scoring of a modified pigment severity index and measurement of the melanin index showed that skin treated with the low-pulsed 532-nm laser alone and in combination with the low-pulsed 1064-nm Nd:YAG laser resulted in improvement at 3 months’ follow-up. However, there was no difference between the 2 sides of the face, leading the researchers to conclude that the low-pulsed 532-nm laser appears to be safe and effective for treatment of solar lentigos in Asian patients and does not require the addition of the low-pulsed 1064-nm laser.25
To avoid hyperpigmentation in patients with SOC, strict photoprotection to the treated areas should be advised. Proper cooling of the laser-treated area is required to minimize PIH, as cooling decreases tissue damage and excessive thermal injury. Test spots should be considered prior to initiation of the full laser treatment. Hydroquinone in a 4% concentration applied daily for 2 weeks preprocedure commonly is employed to reduce the risk for postprocedural hyperpigmentation in clinical practice.26,27
Skin Tightening and Body Contouring
In general, skin-tightening and body-contouring devices are among the most sought-after procedures. Studies performed in patients with SOC are limited. Herein, we provide background on why these devices are favorable for patients with SOC and our experiences in using them. A summary of these devices can be found in Supplementary Table S4.
Radiofrequency Skin Tightening—Radiofrequency devices are utilized for skin tightening as well as mild fat reduction; they commonly are used on the abdomen, thighs, buttocks, and face.28 People with SOC are more responsive to radiofrequency skin-tightening therapy due to higher baseline collagen content and dermal thickness, more sebaceous activity and skin elasticity, and more melanin content which offers protective thermal buffering.29,30 As the radiofrequency device emits heat, penetrating deep into the dermis, it generates collagen remodeling and synthesis within 4 to 6 months posttreatment.
Nonsurgical Fat Reduction
Procedures for nonsurgical fat reduction are favorable due to minimal recovery time, manageable cost, and an in-office procedure setting. As noted previously, there are 6 FDA-indicated interventions for nonsurgical fat reduction: ultrasonography, cryolipolysis, laser lipolysis, injection lipolysis, radiofrequency lipolysis, and magnetic resonance contouring.31
Ultrasonography—Ultrasound devices designed for body contouring are used for skin tightening and mild fat reduction through the use of acoustic energy.32 These devices can be divided into 2 categories: high frequency and low frequency, with the high-frequency devices being the most popular. High-frequency ultrasound energy produces heat at target sites, which induces necrosis of adipocytes and stimulates collagen remodeling within the tissue matrix.33 Tissue temperatures above 56°C stimulate adipocyte necrosis while sparing nearby nerves and vessels.28 Because of the short duration of the procedure, the risk for epidermal damage is minimal. Contrary to high-frequency ultrasonography, focus-pulsed ultrasonography employs low-frequency waves to induce the mechanical disruption of adipocytes, which is generally better tolerated due to its nonthermal mechanism. The latter may be advantageous in patients with SOC due to a reduced risk for thermal injury to the epidermis. Multiple treatments often are needed at 3- to 4-week intervals, resulting in gradual improvement observed over 2 to 6 months. One study of microfocused ultrasonography in 25 Asian patients for treatment of face and neck laxity reported that skin laxity was improved or much improved in 84% (21/25) of patients following treatment.34 Adverse effects were reported as mild and transient, resolving within 90 days.34 Ultrasound devices also were shown to improve wrinkles, texture, and overall appearance of the skin in a 71-year-old African American woman 4 months following treatment (Figure 2). These photographs highlight the clinical utility of a microfocused ultrasound skin-tightening treatment in African American patients.

Cryolipolysis—Cryolipolysis is a noninvasive body contouring procedure that employs controlled cooling to induce subcutaneous panniculitis. Through cold-induced apoptosis of adipocytes, this procedure selectively reduces adipose tissue in localized areas such as the flank, abdomen, thighs, buttocks, back, submental area, and upper arms. The temperature used in cryolipolysis is approximately –10°C.35 The lethal temperature for melanocytes is –4 °C, below which melanocyte apoptosis may be induced, resulting in depigmentation. Given the prolonged contact of the skin with a cryolipolysis device for up to 60 minutes during a body-contouring procedure, there is a risk for resultant depigmentation in darker skin types. Controlled studies are needed to fully evaluate the safety and efficacy of cryolipolysis in patients with SOC. One retrospective study of cryolipolysis applied to the abdomen and upper arm of 4122 Asian patients reported a significant (P<.05) reduction in the circumference of the abdomen and the upper-arm areas. No long-term adverse effects were reported.36
Laser Lipolysis—The 1060-nm diode laser for body contouring selectively destroys adipose tissue, resulting in body contouring via thermally induced inflammation. Hyperthermic exposure for 15 minutes selectively elevates adipocyte temperature between 42°C to 47°C, which triggers apoptosis and the eventual clearance of destroyed cells from the interstitial space.37 The selectivity of the 1060-nm wavelength coupled with the device’s contact cooling system preserves the overlying skin and adnexa during the procedure,37 which would minimize epidermal damage that may induce dyspigmentation in patients with SOC. No notable adverse effects or dyspigmentation have been reported using this device.
Injection Lipolysis—Deoxycholic acid is an injectable adipocytolytic for the reduction of submental fat. It nonselectively lyses muscle and other adjacent nonfatty tissue. One study of 50 Indian patients demonstrated a substantial reduction of submental fat in 90% (45/50).38 For each treatment, 5 mL of 30 mg/mL deoxycholic acid was injected. Serial sessions were conducted at 2-month intervals, and most (64% [32/50]) patients required 3 sessions to see a treatment effect. Adverse effects included transient swelling, lumpiness, and tenderness. A phase 2a investigation of the novel injectable small-molecule drug CBL-514 in 43 Asian and White participants found a significant improvement in the reduction in abdominal fat volume (P<.00001) and thickness (P<.0001) relative to baseline at higher doses (unit dose, 2.0 mg/cm2 and 1.6 mg/cm2).39 In addition to the adverse effects mentioned previously, pruritus, repeated urticaria, body rash, and fever also were reported.39
Radiofrequency Lipolysis—Radiofrequency is used for adipolysis through heat-induced apoptosis. To achieve this effect, adipose tissue must sustain a temperature of 42 °C to 45 °C for at least 15 minutes.40 In one study, 4 treatments performed at 7-day intervals resulted in a statistically significant reduction in circumference to the treated areas of the inner and outer thighs without any reported adverse effects (P<0.001).41 Of note, there was 1 cm of distance between the applicator and the skin. The absence of direct contact with the skin is likely to reduce the risk for postprocedural complications in patients with SOC.
Magnetic Resonance Contouring—Magnetic resonance contouring with high-intensity focused electromagnetic technology is an emerging treatment modality for noninvasive body contouring. One distinguishing characteristic from other currently available noninvasive fat-reduction therapies is that magnetic resonance may improve strength, tone, and muscle thickness.42 This modality is FDA approved for contouring of the buttocks and abdomen and employs electromagnetic energy to stimulate approximately 20,000 muscle contractions within a time frame of 30 minutes. Though the mechanisms causing benefits to muscular and adipose tissue have not been elucidated, current findings suggest that the contractions stimulate substantial lipolysis of adipocytes, resulting in the release of large amounts of free fatty acids that cause damage to nearby adipose tissue.43 Multiple treatments are required over time to maintain effect. No major adverse effects have been reported. The likely mechanism of action of magnetic resonance contouring does not appear to pose an increased risk to patients with SOC.
Final Thoughts
One of the major roadblocks in distilling indications along with associated risks and benefits for nonsurgical cosmetic practices for patients with SOC is a void in the primary literature involving these populations. Clinical experience serves to address this deficit in combination with a thorough review of the literature. The 1064-nm Nd:YAG laser has shown clinical utility in the treatment of DPN, melanoma, and acne scars, but it poses financial constraints to the provider in comparison to modalities used for many years. Notably, NAF resurfacing is preferred for the management of acne scars in patients with SOC and continues to gain popularity for the treatment of photoaging. Regarding skin-tightening and body-contouring devices, studies performed in patients with SOC are limited and affected by factors such as small sample sizes, underrepresentation of FSTs IV through VI, short follow-up durations, and a lack of standardized outcome measures. Additionally, few studies assess pigmentary adverse effects or stratify results by skin type, which is critical given the higher risk for PIH in SOC. Ultrasound devices showed clinical utility in improvement of skin laxity, texture, and overall improvement. Patients with SOC respond well to skin-tightening devices due to the increased collagen synthesis. Regarding emerging devices for reduction of adipocytes, deoxycholic acid when injected showed notable improvement in fat reduction but also had adverse effects. As additional studies on cosmetic procedures in SOC emerge, an expansion of treatment options could be offered to this demographic group with confidence, provided proper treatment and follow-up protocols are in place.
Cosmetic laser procedures as well as energy-based fat reduction and body-contouring devices are increasingly popular among individuals with skin of color (SOC). Innovations in cosmetic devices and procedures tailored for SOC have allowed for the optimization of outcomes in this patient population. In this article, SOC is defined as darker skin types, including Fitzpatrick skin types (FSTs) IV to VI and ethnic backgrounds such as LatinX, African American, Southeast Asian, Native American, Pacific Islander, Middle Eastern, Asian, and African. Indications for laser treatment include dermatosis papulosa nigrans (DPN), acne scars, skin rejuvenation, and hyperpigmentation. There currently are 6 procedures for nonsurgical fat reduction that are approved by the US Food and Drug Administration (FDA): high-frequency focused ultrasound, cryolipolysis, laser lipolysis, injection lipolysis, radiofrequency lipolysis, and magnetic resonance contouring (Supplementary Table S1).1
In this review, our initial focus is cosmetic laser procedures, encompassing FDA-cleared indications along with the associated risks and benefits in SOC populations. Subsequently, we delve into the realms of energy-based fat reduction and body contouring, offering a comprehensive overview of these noninvasive therapies and addressing considerations for efficacy and safety in these patients.
Dermatosis Papulosa Nigra
In patients with SOC, scissor excision, curettage, or electrodesiccation are the mainstay treatments for removal of DPN (Figure 1). Curettage and electrodesiccation can cause temporary postinflammatory hyperpigmentation (PIH) in these populations, while cryotherapy is not a preferred method in patients with SOC due to the possibility of cryotherapy-induced depigmentation. In a 14-patient split-face study comparing the 532-nm potassium titanyl phosphate (KTP) laser vs electrodesiccation in FSTs IV to VI, the KTP-treated side showed an improvement rate of 96%, while the electrodesiccation side showed an improvement rate of 79%. There was a statistically significant favorable experience for KTP with regard to pain tolerability (P=.002).2 Complete resolution of lesions may be seen after 3 to 4 sessions at 4-week intervals. Additionally, the 1064-nm Nd:YAG laser was assessed for treatment of DPN in 2 patients, with 70% to 90% of lesions resolved after a single treatment with no complications.3

Most dermatologists still rely on curettage and electrodesiccation instead of laser therapy to remove DPNs in patients with SOC. The use of the Nd:YAG laser is promising yet expensive for the provider both to purchase and maintain. Electrodesiccation has been used by dermatology practices for decades and can be used without permanent discoloration. To minimize the risk for PIH, we recommend application of a healing ointment such as petroleum jelly or aloe vera gel to the treated lesions as well as lightening agents for PIH and daily use of sunscreen. Overall, providers do not need to purchase an expensive laser device for DPN removal.
Acne Scars
The invention of fractional technology in the early 2000s and its favorable safety profile have changed how dermatologists treat scarring in patients with SOC.
In one study of the short-pulsed nonablative Nd:YAG laser, 9 patients with FSTs I to V and 2 patients with FSTs IV to V underwent 8 treatments at 2-week intervals. Three blinded observers found a 29% improvement in the Global Acne Scar Severity score, while 89% (8/9) of patients self-reported subjective improvement in their acne scars.10
The 755-nm picosecond laser and diffractive lens array also have been shown to reduce the appearance of acne scars in patients with SOC, as shown via serial photography in a retrospective study of 56 patients with FSTs IV to VI. Transient hyperpigmentation, erythema, and edema were reported.11
Nonablative laser therapy is preferred for skin rejuvenation in patients with SOC due to a reduced risk for postprocedural hyperpigmentation.11 Ablative resurfacing (eg, CO2 laser) poses major risks for postprocedural hyperpigmentation, hypopigmentation, and scar formation and therefore should be avoided in these populations.12,13 A study involving 30 Asian patients (FSTs III-IV) demonstrated that the 1550-nm fractional laser was well tolerated, though higher treatment densities and fluences may lead to temporary adverse effects such as increased redness, swelling, and pain (P<.01).14 Furthermore, greater density was shown to cause higher levels of redness, hyperpigmentation, and swelling in comparison to higher fluence settings. Of note, patient satisfaction was markedly higher in patients who underwent treatment with higher fluence settings but not in patients with higher densities (P<.05). Postprocedural hyperpigmentation was noted in 6.7% (2/30) of patients studied.14 In another study, 8 patients with FSTs II to V were treated with either the 1064-nm long-pulsed Nd:YAG laser or the grid fractional monopolar radiofrequency laser.15 All participants experienced a significant decrease in mean wrinkle count using the Lemperle wrinkle assessment (P<.05). A significant decrease in mean wrinkle assessment score from 3.5 to 3.17 in clinical assessment and a decrease from 3.165 to 2.33 for photographic assessment was noted in patients treated with the grid laser (P<.05). A similar decrease in mean wrinkle assessment score was observed in the Nd:YAG group, with a mean decrease of 3.665 to 2.83 after 2 months for clinical assessment and 3.5 to 2.67 for photographic assessment. Among all patients in the study, 68% (6/8) experienced erythema, 25% (2/8) had a burning sensation, and 25% (2/8) experienced urticaria immediately postprocedure.15
Nonablative fractional resurfacing is preferred for the management of acne scars in patients with SOC. Adverse effects such as hyperpigmentation typically are transient, and the risk may be minimized with strict photoprotective practices following the procedure. Furthermore, avoidance of topicals containing exfoliants or α-hydroxy acids applied to the treated area following the procedure also may mitigate the risk for postprocedural hyperpigmentation.16 If hyperpigmentation does occur, use of topical melanogenesis inhibitors such as hydroquinone, kojic acid, or azelaic acid has shown some utility in practice.
Skin Rejuvenation
Nonablative fractional lasers (NAFLs) continue to be popular for treatment of photoaging. One study including 10 Asian patients (FSTs III-V) assessed the 1440-nm diode-based fractional laser for facial rejuvenation.17 After 4 sessions at 2-week intervals, 80% (8/10) of patients reported decreased skin roughness after both the second and third treatments, while 90% (9/10) had improved texture 1 month after the final procedure. Adverse effects included moderate facial edema and one case of transient hyperpigmentation.17 Another study reported a significant reduction in pore score (P<.002), with patients noting an overall improvement in skin appearance with minimal erythema, dryness, and flaking following 6 sessions at 2-week intervals using the 1440-nm diode-based fractional laser.18
The 1550-nm diode fractional laser significantly improved skin pigmentation (P<.001) and texture (P<.001) in 10 patients with FSTs II to IV following 5 sessions at 2- to 3-week intervals, with self-resolving erythema and edema posttreatment (Supplementary Table S2).19 Overall, NAFLs for the treatment of photoaging are effective with minimal adverse effects (eg, facial edema), which can be reduced with application of cold compression to the face and elevation of the head following treatment as well as the use of additional pillows during overnight sleep.
Laser Treatment for Hyperpigmentation Disorders
Melasma—The FDA recently approved fractional photothermolysis for the treatment of melasma; however, due to the risk for hyperpigmentation given its pathogenesis linked to hyperactive melanocytes, this laser is not considered a first-line therapy for melasma.20 In a split-face, randomized study, 22 patients with FSTs III to V who were diagnosed with either dermal or mixed-type melasma were treated with a low-fluence Q-switched Nd:YAG laser combined with hydroquinone 2% vs hydroquinone 2% alone (Supplementary Table S3).21 Each patient was treated weekly for 5 consecutive weeks. The laser-treated side was found to reach an average of 92.5% improvement compared with 19.7% on the hydroquinone-only side. Three of the 22 (13.6%) patients developed mottled hypopigmentation after 5 laser treatments, and 8 (36.4%) developed confetti-type hypopigmentation. Four (18.2%) patients developed rebound hyperpigmentation, and all 22 patients experienced recurrence of melasma by 12 weeks posttreatment.21
First-line treatment for melasma involves the application of topical lightening agents such as hydroquinone, azelaic acid, kojic acid, retinoids, or mild topical steroids. Combining laser technology with topical medications can enhance treatment outcomes, particularly yielding positive results for patients with persistent pigmentation concerns. Notably, utilization of 650-microsecond technology with the 1064-nm Nd:YAG laser is considered superior in clinical practice, especially for patients with FSTs IV through VI.
Postinflammatory Hyperpigmentation—A retrospective evaluation of 61 patients with FSTs IV to VI with PIH treated with a 1927-nm NAFL showed a mean improvement of 43.24%, as assessed by 2 dermatologists.22 Additionally, the Nd:YAG 1064-nm 650-microsecond pulse duration laser is an emerging treatment that delivers high and low fluences between 4 J/cm2 and 255 J/cm2 within a single 650-microsecond pulse duration.23 The short-pulse duration avoids overheating the skin, mitigating procedural discomfort and the risk for adverse effects commonly seen with the previous generation of low-pulsed lasers. In addition to PIH, this laser has been successfully used to treat pseudofolliculitis barbae.24
Solar Lentigos—In a split-face study treating solar lentigos in Asian patients, 4 treatments with a low-pulsed KTP 532-nm laser were administered with and without a second treatment with a low-pulsed 1064-nm Nd:YAG laser.25 Scoring of a modified pigment severity index and measurement of the melanin index showed that skin treated with the low-pulsed 532-nm laser alone and in combination with the low-pulsed 1064-nm Nd:YAG laser resulted in improvement at 3 months’ follow-up. However, there was no difference between the 2 sides of the face, leading the researchers to conclude that the low-pulsed 532-nm laser appears to be safe and effective for treatment of solar lentigos in Asian patients and does not require the addition of the low-pulsed 1064-nm laser.25
To avoid hyperpigmentation in patients with SOC, strict photoprotection to the treated areas should be advised. Proper cooling of the laser-treated area is required to minimize PIH, as cooling decreases tissue damage and excessive thermal injury. Test spots should be considered prior to initiation of the full laser treatment. Hydroquinone in a 4% concentration applied daily for 2 weeks preprocedure commonly is employed to reduce the risk for postprocedural hyperpigmentation in clinical practice.26,27
Skin Tightening and Body Contouring
In general, skin-tightening and body-contouring devices are among the most sought-after procedures. Studies performed in patients with SOC are limited. Herein, we provide background on why these devices are favorable for patients with SOC and our experiences in using them. A summary of these devices can be found in Supplementary Table S4.
Radiofrequency Skin Tightening—Radiofrequency devices are utilized for skin tightening as well as mild fat reduction; they commonly are used on the abdomen, thighs, buttocks, and face.28 People with SOC are more responsive to radiofrequency skin-tightening therapy due to higher baseline collagen content and dermal thickness, more sebaceous activity and skin elasticity, and more melanin content which offers protective thermal buffering.29,30 As the radiofrequency device emits heat, penetrating deep into the dermis, it generates collagen remodeling and synthesis within 4 to 6 months posttreatment.
Nonsurgical Fat Reduction
Procedures for nonsurgical fat reduction are favorable due to minimal recovery time, manageable cost, and an in-office procedure setting. As noted previously, there are 6 FDA-indicated interventions for nonsurgical fat reduction: ultrasonography, cryolipolysis, laser lipolysis, injection lipolysis, radiofrequency lipolysis, and magnetic resonance contouring.31
Ultrasonography—Ultrasound devices designed for body contouring are used for skin tightening and mild fat reduction through the use of acoustic energy.32 These devices can be divided into 2 categories: high frequency and low frequency, with the high-frequency devices being the most popular. High-frequency ultrasound energy produces heat at target sites, which induces necrosis of adipocytes and stimulates collagen remodeling within the tissue matrix.33 Tissue temperatures above 56°C stimulate adipocyte necrosis while sparing nearby nerves and vessels.28 Because of the short duration of the procedure, the risk for epidermal damage is minimal. Contrary to high-frequency ultrasonography, focus-pulsed ultrasonography employs low-frequency waves to induce the mechanical disruption of adipocytes, which is generally better tolerated due to its nonthermal mechanism. The latter may be advantageous in patients with SOC due to a reduced risk for thermal injury to the epidermis. Multiple treatments often are needed at 3- to 4-week intervals, resulting in gradual improvement observed over 2 to 6 months. One study of microfocused ultrasonography in 25 Asian patients for treatment of face and neck laxity reported that skin laxity was improved or much improved in 84% (21/25) of patients following treatment.34 Adverse effects were reported as mild and transient, resolving within 90 days.34 Ultrasound devices also were shown to improve wrinkles, texture, and overall appearance of the skin in a 71-year-old African American woman 4 months following treatment (Figure 2). These photographs highlight the clinical utility of a microfocused ultrasound skin-tightening treatment in African American patients.

Cryolipolysis—Cryolipolysis is a noninvasive body contouring procedure that employs controlled cooling to induce subcutaneous panniculitis. Through cold-induced apoptosis of adipocytes, this procedure selectively reduces adipose tissue in localized areas such as the flank, abdomen, thighs, buttocks, back, submental area, and upper arms. The temperature used in cryolipolysis is approximately –10°C.35 The lethal temperature for melanocytes is –4 °C, below which melanocyte apoptosis may be induced, resulting in depigmentation. Given the prolonged contact of the skin with a cryolipolysis device for up to 60 minutes during a body-contouring procedure, there is a risk for resultant depigmentation in darker skin types. Controlled studies are needed to fully evaluate the safety and efficacy of cryolipolysis in patients with SOC. One retrospective study of cryolipolysis applied to the abdomen and upper arm of 4122 Asian patients reported a significant (P<.05) reduction in the circumference of the abdomen and the upper-arm areas. No long-term adverse effects were reported.36
Laser Lipolysis—The 1060-nm diode laser for body contouring selectively destroys adipose tissue, resulting in body contouring via thermally induced inflammation. Hyperthermic exposure for 15 minutes selectively elevates adipocyte temperature between 42°C to 47°C, which triggers apoptosis and the eventual clearance of destroyed cells from the interstitial space.37 The selectivity of the 1060-nm wavelength coupled with the device’s contact cooling system preserves the overlying skin and adnexa during the procedure,37 which would minimize epidermal damage that may induce dyspigmentation in patients with SOC. No notable adverse effects or dyspigmentation have been reported using this device.
Injection Lipolysis—Deoxycholic acid is an injectable adipocytolytic for the reduction of submental fat. It nonselectively lyses muscle and other adjacent nonfatty tissue. One study of 50 Indian patients demonstrated a substantial reduction of submental fat in 90% (45/50).38 For each treatment, 5 mL of 30 mg/mL deoxycholic acid was injected. Serial sessions were conducted at 2-month intervals, and most (64% [32/50]) patients required 3 sessions to see a treatment effect. Adverse effects included transient swelling, lumpiness, and tenderness. A phase 2a investigation of the novel injectable small-molecule drug CBL-514 in 43 Asian and White participants found a significant improvement in the reduction in abdominal fat volume (P<.00001) and thickness (P<.0001) relative to baseline at higher doses (unit dose, 2.0 mg/cm2 and 1.6 mg/cm2).39 In addition to the adverse effects mentioned previously, pruritus, repeated urticaria, body rash, and fever also were reported.39
Radiofrequency Lipolysis—Radiofrequency is used for adipolysis through heat-induced apoptosis. To achieve this effect, adipose tissue must sustain a temperature of 42 °C to 45 °C for at least 15 minutes.40 In one study, 4 treatments performed at 7-day intervals resulted in a statistically significant reduction in circumference to the treated areas of the inner and outer thighs without any reported adverse effects (P<0.001).41 Of note, there was 1 cm of distance between the applicator and the skin. The absence of direct contact with the skin is likely to reduce the risk for postprocedural complications in patients with SOC.
Magnetic Resonance Contouring—Magnetic resonance contouring with high-intensity focused electromagnetic technology is an emerging treatment modality for noninvasive body contouring. One distinguishing characteristic from other currently available noninvasive fat-reduction therapies is that magnetic resonance may improve strength, tone, and muscle thickness.42 This modality is FDA approved for contouring of the buttocks and abdomen and employs electromagnetic energy to stimulate approximately 20,000 muscle contractions within a time frame of 30 minutes. Though the mechanisms causing benefits to muscular and adipose tissue have not been elucidated, current findings suggest that the contractions stimulate substantial lipolysis of adipocytes, resulting in the release of large amounts of free fatty acids that cause damage to nearby adipose tissue.43 Multiple treatments are required over time to maintain effect. No major adverse effects have been reported. The likely mechanism of action of magnetic resonance contouring does not appear to pose an increased risk to patients with SOC.
Final Thoughts
One of the major roadblocks in distilling indications along with associated risks and benefits for nonsurgical cosmetic practices for patients with SOC is a void in the primary literature involving these populations. Clinical experience serves to address this deficit in combination with a thorough review of the literature. The 1064-nm Nd:YAG laser has shown clinical utility in the treatment of DPN, melanoma, and acne scars, but it poses financial constraints to the provider in comparison to modalities used for many years. Notably, NAF resurfacing is preferred for the management of acne scars in patients with SOC and continues to gain popularity for the treatment of photoaging. Regarding skin-tightening and body-contouring devices, studies performed in patients with SOC are limited and affected by factors such as small sample sizes, underrepresentation of FSTs IV through VI, short follow-up durations, and a lack of standardized outcome measures. Additionally, few studies assess pigmentary adverse effects or stratify results by skin type, which is critical given the higher risk for PIH in SOC. Ultrasound devices showed clinical utility in improvement of skin laxity, texture, and overall improvement. Patients with SOC respond well to skin-tightening devices due to the increased collagen synthesis. Regarding emerging devices for reduction of adipocytes, deoxycholic acid when injected showed notable improvement in fat reduction but also had adverse effects. As additional studies on cosmetic procedures in SOC emerge, an expansion of treatment options could be offered to this demographic group with confidence, provided proper treatment and follow-up protocols are in place.
Cosmetic laser procedures as well as energy-based fat reduction and body-contouring devices are increasingly popular among individuals with skin of color (SOC). Innovations in cosmetic devices and procedures tailored for SOC have allowed for the optimization of outcomes in this patient population. In this article, SOC is defined as darker skin types, including Fitzpatrick skin types (FSTs) IV to VI and ethnic backgrounds such as LatinX, African American, Southeast Asian, Native American, Pacific Islander, Middle Eastern, Asian, and African. Indications for laser treatment include dermatosis papulosa nigrans (DPN), acne scars, skin rejuvenation, and hyperpigmentation. There currently are 6 procedures for nonsurgical fat reduction that are approved by the US Food and Drug Administration (FDA): high-frequency focused ultrasound, cryolipolysis, laser lipolysis, injection lipolysis, radiofrequency lipolysis, and magnetic resonance contouring (Supplementary Table S1).1
In this review, our initial focus is cosmetic laser procedures, encompassing FDA-cleared indications along with the associated risks and benefits in SOC populations. Subsequently, we delve into the realms of energy-based fat reduction and body contouring, offering a comprehensive overview of these noninvasive therapies and addressing considerations for efficacy and safety in these patients.
Dermatosis Papulosa Nigra
In patients with SOC, scissor excision, curettage, or electrodesiccation are the mainstay treatments for removal of DPN (Figure 1). Curettage and electrodesiccation can cause temporary postinflammatory hyperpigmentation (PIH) in these populations, while cryotherapy is not a preferred method in patients with SOC due to the possibility of cryotherapy-induced depigmentation. In a 14-patient split-face study comparing the 532-nm potassium titanyl phosphate (KTP) laser vs electrodesiccation in FSTs IV to VI, the KTP-treated side showed an improvement rate of 96%, while the electrodesiccation side showed an improvement rate of 79%. There was a statistically significant favorable experience for KTP with regard to pain tolerability (P=.002).2 Complete resolution of lesions may be seen after 3 to 4 sessions at 4-week intervals. Additionally, the 1064-nm Nd:YAG laser was assessed for treatment of DPN in 2 patients, with 70% to 90% of lesions resolved after a single treatment with no complications.3

Most dermatologists still rely on curettage and electrodesiccation instead of laser therapy to remove DPNs in patients with SOC. The use of the Nd:YAG laser is promising yet expensive for the provider both to purchase and maintain. Electrodesiccation has been used by dermatology practices for decades and can be used without permanent discoloration. To minimize the risk for PIH, we recommend application of a healing ointment such as petroleum jelly or aloe vera gel to the treated lesions as well as lightening agents for PIH and daily use of sunscreen. Overall, providers do not need to purchase an expensive laser device for DPN removal.
Acne Scars
The invention of fractional technology in the early 2000s and its favorable safety profile have changed how dermatologists treat scarring in patients with SOC.
In one study of the short-pulsed nonablative Nd:YAG laser, 9 patients with FSTs I to V and 2 patients with FSTs IV to V underwent 8 treatments at 2-week intervals. Three blinded observers found a 29% improvement in the Global Acne Scar Severity score, while 89% (8/9) of patients self-reported subjective improvement in their acne scars.10
The 755-nm picosecond laser and diffractive lens array also have been shown to reduce the appearance of acne scars in patients with SOC, as shown via serial photography in a retrospective study of 56 patients with FSTs IV to VI. Transient hyperpigmentation, erythema, and edema were reported.11
Nonablative laser therapy is preferred for skin rejuvenation in patients with SOC due to a reduced risk for postprocedural hyperpigmentation.11 Ablative resurfacing (eg, CO2 laser) poses major risks for postprocedural hyperpigmentation, hypopigmentation, and scar formation and therefore should be avoided in these populations.12,13 A study involving 30 Asian patients (FSTs III-IV) demonstrated that the 1550-nm fractional laser was well tolerated, though higher treatment densities and fluences may lead to temporary adverse effects such as increased redness, swelling, and pain (P<.01).14 Furthermore, greater density was shown to cause higher levels of redness, hyperpigmentation, and swelling in comparison to higher fluence settings. Of note, patient satisfaction was markedly higher in patients who underwent treatment with higher fluence settings but not in patients with higher densities (P<.05). Postprocedural hyperpigmentation was noted in 6.7% (2/30) of patients studied.14 In another study, 8 patients with FSTs II to V were treated with either the 1064-nm long-pulsed Nd:YAG laser or the grid fractional monopolar radiofrequency laser.15 All participants experienced a significant decrease in mean wrinkle count using the Lemperle wrinkle assessment (P<.05). A significant decrease in mean wrinkle assessment score from 3.5 to 3.17 in clinical assessment and a decrease from 3.165 to 2.33 for photographic assessment was noted in patients treated with the grid laser (P<.05). A similar decrease in mean wrinkle assessment score was observed in the Nd:YAG group, with a mean decrease of 3.665 to 2.83 after 2 months for clinical assessment and 3.5 to 2.67 for photographic assessment. Among all patients in the study, 68% (6/8) experienced erythema, 25% (2/8) had a burning sensation, and 25% (2/8) experienced urticaria immediately postprocedure.15
Nonablative fractional resurfacing is preferred for the management of acne scars in patients with SOC. Adverse effects such as hyperpigmentation typically are transient, and the risk may be minimized with strict photoprotective practices following the procedure. Furthermore, avoidance of topicals containing exfoliants or α-hydroxy acids applied to the treated area following the procedure also may mitigate the risk for postprocedural hyperpigmentation.16 If hyperpigmentation does occur, use of topical melanogenesis inhibitors such as hydroquinone, kojic acid, or azelaic acid has shown some utility in practice.
Skin Rejuvenation
Nonablative fractional lasers (NAFLs) continue to be popular for treatment of photoaging. One study including 10 Asian patients (FSTs III-V) assessed the 1440-nm diode-based fractional laser for facial rejuvenation.17 After 4 sessions at 2-week intervals, 80% (8/10) of patients reported decreased skin roughness after both the second and third treatments, while 90% (9/10) had improved texture 1 month after the final procedure. Adverse effects included moderate facial edema and one case of transient hyperpigmentation.17 Another study reported a significant reduction in pore score (P<.002), with patients noting an overall improvement in skin appearance with minimal erythema, dryness, and flaking following 6 sessions at 2-week intervals using the 1440-nm diode-based fractional laser.18
The 1550-nm diode fractional laser significantly improved skin pigmentation (P<.001) and texture (P<.001) in 10 patients with FSTs II to IV following 5 sessions at 2- to 3-week intervals, with self-resolving erythema and edema posttreatment (Supplementary Table S2).19 Overall, NAFLs for the treatment of photoaging are effective with minimal adverse effects (eg, facial edema), which can be reduced with application of cold compression to the face and elevation of the head following treatment as well as the use of additional pillows during overnight sleep.
Laser Treatment for Hyperpigmentation Disorders
Melasma—The FDA recently approved fractional photothermolysis for the treatment of melasma; however, due to the risk for hyperpigmentation given its pathogenesis linked to hyperactive melanocytes, this laser is not considered a first-line therapy for melasma.20 In a split-face, randomized study, 22 patients with FSTs III to V who were diagnosed with either dermal or mixed-type melasma were treated with a low-fluence Q-switched Nd:YAG laser combined with hydroquinone 2% vs hydroquinone 2% alone (Supplementary Table S3).21 Each patient was treated weekly for 5 consecutive weeks. The laser-treated side was found to reach an average of 92.5% improvement compared with 19.7% on the hydroquinone-only side. Three of the 22 (13.6%) patients developed mottled hypopigmentation after 5 laser treatments, and 8 (36.4%) developed confetti-type hypopigmentation. Four (18.2%) patients developed rebound hyperpigmentation, and all 22 patients experienced recurrence of melasma by 12 weeks posttreatment.21
First-line treatment for melasma involves the application of topical lightening agents such as hydroquinone, azelaic acid, kojic acid, retinoids, or mild topical steroids. Combining laser technology with topical medications can enhance treatment outcomes, particularly yielding positive results for patients with persistent pigmentation concerns. Notably, utilization of 650-microsecond technology with the 1064-nm Nd:YAG laser is considered superior in clinical practice, especially for patients with FSTs IV through VI.
Postinflammatory Hyperpigmentation—A retrospective evaluation of 61 patients with FSTs IV to VI with PIH treated with a 1927-nm NAFL showed a mean improvement of 43.24%, as assessed by 2 dermatologists.22 Additionally, the Nd:YAG 1064-nm 650-microsecond pulse duration laser is an emerging treatment that delivers high and low fluences between 4 J/cm2 and 255 J/cm2 within a single 650-microsecond pulse duration.23 The short-pulse duration avoids overheating the skin, mitigating procedural discomfort and the risk for adverse effects commonly seen with the previous generation of low-pulsed lasers. In addition to PIH, this laser has been successfully used to treat pseudofolliculitis barbae.24
Solar Lentigos—In a split-face study treating solar lentigos in Asian patients, 4 treatments with a low-pulsed KTP 532-nm laser were administered with and without a second treatment with a low-pulsed 1064-nm Nd:YAG laser.25 Scoring of a modified pigment severity index and measurement of the melanin index showed that skin treated with the low-pulsed 532-nm laser alone and in combination with the low-pulsed 1064-nm Nd:YAG laser resulted in improvement at 3 months’ follow-up. However, there was no difference between the 2 sides of the face, leading the researchers to conclude that the low-pulsed 532-nm laser appears to be safe and effective for treatment of solar lentigos in Asian patients and does not require the addition of the low-pulsed 1064-nm laser.25
To avoid hyperpigmentation in patients with SOC, strict photoprotection to the treated areas should be advised. Proper cooling of the laser-treated area is required to minimize PIH, as cooling decreases tissue damage and excessive thermal injury. Test spots should be considered prior to initiation of the full laser treatment. Hydroquinone in a 4% concentration applied daily for 2 weeks preprocedure commonly is employed to reduce the risk for postprocedural hyperpigmentation in clinical practice.26,27
Skin Tightening and Body Contouring
In general, skin-tightening and body-contouring devices are among the most sought-after procedures. Studies performed in patients with SOC are limited. Herein, we provide background on why these devices are favorable for patients with SOC and our experiences in using them. A summary of these devices can be found in Supplementary Table S4.
Radiofrequency Skin Tightening—Radiofrequency devices are utilized for skin tightening as well as mild fat reduction; they commonly are used on the abdomen, thighs, buttocks, and face.28 People with SOC are more responsive to radiofrequency skin-tightening therapy due to higher baseline collagen content and dermal thickness, more sebaceous activity and skin elasticity, and more melanin content which offers protective thermal buffering.29,30 As the radiofrequency device emits heat, penetrating deep into the dermis, it generates collagen remodeling and synthesis within 4 to 6 months posttreatment.
Nonsurgical Fat Reduction
Procedures for nonsurgical fat reduction are favorable due to minimal recovery time, manageable cost, and an in-office procedure setting. As noted previously, there are 6 FDA-indicated interventions for nonsurgical fat reduction: ultrasonography, cryolipolysis, laser lipolysis, injection lipolysis, radiofrequency lipolysis, and magnetic resonance contouring.31
Ultrasonography—Ultrasound devices designed for body contouring are used for skin tightening and mild fat reduction through the use of acoustic energy.32 These devices can be divided into 2 categories: high frequency and low frequency, with the high-frequency devices being the most popular. High-frequency ultrasound energy produces heat at target sites, which induces necrosis of adipocytes and stimulates collagen remodeling within the tissue matrix.33 Tissue temperatures above 56°C stimulate adipocyte necrosis while sparing nearby nerves and vessels.28 Because of the short duration of the procedure, the risk for epidermal damage is minimal. Contrary to high-frequency ultrasonography, focus-pulsed ultrasonography employs low-frequency waves to induce the mechanical disruption of adipocytes, which is generally better tolerated due to its nonthermal mechanism. The latter may be advantageous in patients with SOC due to a reduced risk for thermal injury to the epidermis. Multiple treatments often are needed at 3- to 4-week intervals, resulting in gradual improvement observed over 2 to 6 months. One study of microfocused ultrasonography in 25 Asian patients for treatment of face and neck laxity reported that skin laxity was improved or much improved in 84% (21/25) of patients following treatment.34 Adverse effects were reported as mild and transient, resolving within 90 days.34 Ultrasound devices also were shown to improve wrinkles, texture, and overall appearance of the skin in a 71-year-old African American woman 4 months following treatment (Figure 2). These photographs highlight the clinical utility of a microfocused ultrasound skin-tightening treatment in African American patients.

Cryolipolysis—Cryolipolysis is a noninvasive body contouring procedure that employs controlled cooling to induce subcutaneous panniculitis. Through cold-induced apoptosis of adipocytes, this procedure selectively reduces adipose tissue in localized areas such as the flank, abdomen, thighs, buttocks, back, submental area, and upper arms. The temperature used in cryolipolysis is approximately –10°C.35 The lethal temperature for melanocytes is –4 °C, below which melanocyte apoptosis may be induced, resulting in depigmentation. Given the prolonged contact of the skin with a cryolipolysis device for up to 60 minutes during a body-contouring procedure, there is a risk for resultant depigmentation in darker skin types. Controlled studies are needed to fully evaluate the safety and efficacy of cryolipolysis in patients with SOC. One retrospective study of cryolipolysis applied to the abdomen and upper arm of 4122 Asian patients reported a significant (P<.05) reduction in the circumference of the abdomen and the upper-arm areas. No long-term adverse effects were reported.36
Laser Lipolysis—The 1060-nm diode laser for body contouring selectively destroys adipose tissue, resulting in body contouring via thermally induced inflammation. Hyperthermic exposure for 15 minutes selectively elevates adipocyte temperature between 42°C to 47°C, which triggers apoptosis and the eventual clearance of destroyed cells from the interstitial space.37 The selectivity of the 1060-nm wavelength coupled with the device’s contact cooling system preserves the overlying skin and adnexa during the procedure,37 which would minimize epidermal damage that may induce dyspigmentation in patients with SOC. No notable adverse effects or dyspigmentation have been reported using this device.
Injection Lipolysis—Deoxycholic acid is an injectable adipocytolytic for the reduction of submental fat. It nonselectively lyses muscle and other adjacent nonfatty tissue. One study of 50 Indian patients demonstrated a substantial reduction of submental fat in 90% (45/50).38 For each treatment, 5 mL of 30 mg/mL deoxycholic acid was injected. Serial sessions were conducted at 2-month intervals, and most (64% [32/50]) patients required 3 sessions to see a treatment effect. Adverse effects included transient swelling, lumpiness, and tenderness. A phase 2a investigation of the novel injectable small-molecule drug CBL-514 in 43 Asian and White participants found a significant improvement in the reduction in abdominal fat volume (P<.00001) and thickness (P<.0001) relative to baseline at higher doses (unit dose, 2.0 mg/cm2 and 1.6 mg/cm2).39 In addition to the adverse effects mentioned previously, pruritus, repeated urticaria, body rash, and fever also were reported.39
Radiofrequency Lipolysis—Radiofrequency is used for adipolysis through heat-induced apoptosis. To achieve this effect, adipose tissue must sustain a temperature of 42 °C to 45 °C for at least 15 minutes.40 In one study, 4 treatments performed at 7-day intervals resulted in a statistically significant reduction in circumference to the treated areas of the inner and outer thighs without any reported adverse effects (P<0.001).41 Of note, there was 1 cm of distance between the applicator and the skin. The absence of direct contact with the skin is likely to reduce the risk for postprocedural complications in patients with SOC.
Magnetic Resonance Contouring—Magnetic resonance contouring with high-intensity focused electromagnetic technology is an emerging treatment modality for noninvasive body contouring. One distinguishing characteristic from other currently available noninvasive fat-reduction therapies is that magnetic resonance may improve strength, tone, and muscle thickness.42 This modality is FDA approved for contouring of the buttocks and abdomen and employs electromagnetic energy to stimulate approximately 20,000 muscle contractions within a time frame of 30 minutes. Though the mechanisms causing benefits to muscular and adipose tissue have not been elucidated, current findings suggest that the contractions stimulate substantial lipolysis of adipocytes, resulting in the release of large amounts of free fatty acids that cause damage to nearby adipose tissue.43 Multiple treatments are required over time to maintain effect. No major adverse effects have been reported. The likely mechanism of action of magnetic resonance contouring does not appear to pose an increased risk to patients with SOC.
Final Thoughts
One of the major roadblocks in distilling indications along with associated risks and benefits for nonsurgical cosmetic practices for patients with SOC is a void in the primary literature involving these populations. Clinical experience serves to address this deficit in combination with a thorough review of the literature. The 1064-nm Nd:YAG laser has shown clinical utility in the treatment of DPN, melanoma, and acne scars, but it poses financial constraints to the provider in comparison to modalities used for many years. Notably, NAF resurfacing is preferred for the management of acne scars in patients with SOC and continues to gain popularity for the treatment of photoaging. Regarding skin-tightening and body-contouring devices, studies performed in patients with SOC are limited and affected by factors such as small sample sizes, underrepresentation of FSTs IV through VI, short follow-up durations, and a lack of standardized outcome measures. Additionally, few studies assess pigmentary adverse effects or stratify results by skin type, which is critical given the higher risk for PIH in SOC. Ultrasound devices showed clinical utility in improvement of skin laxity, texture, and overall improvement. Patients with SOC respond well to skin-tightening devices due to the increased collagen synthesis. Regarding emerging devices for reduction of adipocytes, deoxycholic acid when injected showed notable improvement in fat reduction but also had adverse effects. As additional studies on cosmetic procedures in SOC emerge, an expansion of treatment options could be offered to this demographic group with confidence, provided proper treatment and follow-up protocols are in place.
Cosmetic Laser Procedures and Nonsurgical Body Contouring in Patients With Skin of Color
Cosmetic Laser Procedures and Nonsurgical Body Contouring in Patients With Skin of Color
- Mazzoni D, Lin MJ, Dubin DP, et al. Review of non-invasive body contouring devices for fat reduction, skin tightening and muscle definition. Australas J Dermatol. 2019;60:278-283. doi:10.1111/ajd.13090
- Kundu RV, Joshi SS, Suh KY, et al. Comparison of electrodesiccation and potassium-titanyl-phosphate laser for treatment of dermatosis papulosa nigra. Dermatol Surg. 2009;35:1079-1083. doi:10.1111/j.1524-4725.2009.01186.x&
- Schweiger ES, Kwasniak L, Aires DJ. Treatment of dermatosis papulosa nigra with a 1064 nm Nd:YAG laser: report of two cases. J Cosmet Laser Ther. 2008;10:120-122. doi:10.1080/14764170801950070
- Manstein D, Herron GS, Sink RK, et al. Fractional photothermolysis: a new concept for cutaneous remodeling using microscopic patterns of thermal injury. Lasers Surg Med. 2004;34:426-438. doi:10.1002/lsm.20048
- Alajlan AM, Alsuwaidan SN. Acne scars in ethnic skin treated with both non-ablative fractional 1,550 nm and ablative fractional CO2 lasers: comparative retrospective analysis with recommended guidelines. Lasers Surg Med. 2011;43effi:787-791. doi:10.1002/lsm.21092
- Ke R, Cai B, Ni X, et al. Efficacy and safety of non-ablative vs. ablative lasers for acne scarring: a meta-analysis. J Deutschen Dermatologischen Gesellschaft. Published online March 11, 2025. doi: 10.1111/ddg.15651
- Goel A, Krupashankar DS, Aurangabadkar S, et al. Fractional lasers in dermatology—current status and recommendations. Indian J Dermatol Venereol Leprol. 2011;77:369. doi:10.4103/0378-6323.79732
- Lee HS, Lee JH, Ahn GY, et al. Fractional photothermolysis for the treatment of acne scars: a report of 27 Korean patients. J Dermatolog Treat. 2008;19:45-49. doi:10.1080/09546630701691244
- Zhang AD, Clovie J, Lazar M, et al. Treatment of benign pigmented lesions using lasers: a scoping review. J Clin Med. 2025;14li:3985. doi:10.3390/jcm14113985
- Lipper GM, Perez M. Nonablative acne scar reduction after a series of treatments with a short-pulsed 1,064-nm neodymium:YAG laser. Dermatol Surg. 2006;32:998-1006. doi:10.1111/j.1524-4725.2006.32222.x
- Mar K, Khalid B, Maazi M, et al. Treatment of post-inflammatory hyperpigmentation in skin of colour: a systematic review. J Cutan Med Surg. 2024;28:473-480. doi:10.1177/12034754241265716
- Kono T, Chan HH, Groff WF, et al. Prospective direct comparison study of fractional resurfacing using different fluences and densities for skin rejuvenation in Asians. Lasers Surg Med. 2007;39:311-314. doi:10.1002/lsm.20484
- Sharkey JR, Sharf BF, St John JA. “Una persona derechita (staying right in the mind)”: perceptions of Spanish-speaking Mexican American older adults in South Texas colonias. Gerontologist. 2009;49 suppl 1:S79-85. doi:10.1093/geront/gnp086
- Wu X, Cen Q, Jin J, et al. An effective and safe laser treatment strategy of fractional carbon dioxide laser for Chinese populations with periorbital wrinkles: a randomized split-face trial. Dermatol Therapy. 2025;15:1307-1317.
- Milante RR, Doria-Ruiz MJ, Beloso MB, et al. Split-face comparison of grid fractional radiofrequency vs 1064-nm Nd-YAG laser treatment of periorbital rhytides among Filipino patients. Dermatol Ther. 2020;33:e14031. doi:10.1111/dth.14031
- Alexis AF, Andriessen A, Beach RA, et al. Periprocedural skincare for nonenergy and nonablative energy-based aesthetic procedures in patients with skin of color. J Cosmet Dermatol. 2025;24:E16712. doi:10.1111/jocd.16712
- Marmon S, Shek SYN, Yeung CK, et al. Evaluating the safety and efficacy of the 1,440-nm laser in the treatment of photodamage in Asian skin. Lasers Surg Med. 2014;46:375-379. doi:10.1002/lsm.22242
- Saedi N, Petrell K, Arndt K, et al. Evaluating facial pores and skin texture after low-energy nonablative fractional 1440-nm laser treatments. J Am Acad Dermatol. 2013;68:113-118. doi:10.1016/j.jaad.2012.08.041
- Jih MH, Goldberg LH, Kimyai-Asadi A. Fractional photothermolysis for photoaging of hands. Dermatol Surg. 2008;34:73-78. doi:10.1111/j.1524-4725.2007.34011.x
- Prohaska J, Hohman MH. Laser complications. StatPearls. Updated August 28, 2023. Accessed July 23, 2025. http://www.ncbi.nlm.nih.gov/books/NBK532248/
- Trivedi MK, Yang FC, Cho BK. A review of laser and light therapy in melasma. Int J Womens Dermatol. 2017;3:11-20. doi:10.1016/j.ijwd.2017.01.004
- Brauer JA, Kazlouskaya V, Alabdulrazzaq H, et al. Use of a picosecond pulse duration laser with specialized optic for treatment of facial acne scarring. JAMA Dermatol. 2015;151:278-284. doi:10.1001/jamadermatol.2014.3045
- Greywal T, Ortiz A. Treating melasma with the 1064 nm Nd:YAG laser with a 650-microsecond pulse duration: a clinical evaluation. J Cosmet Dermatol. 2021;20:3889-3892. doi:10.1111/jocd.14558
- Weaver SM, Sagaral EC. Treatment of pseudofolliculitis barbae using the long-pulse Nd:YAG laser on skin types V and VI. Dermatol Surg. 2003;29:1187-1191. doi:10.1111/j.1524-4725.2003.29387.x
- Negishi K, Tanaka S, Tobita S. Prospective, randomized, evaluator-blinded study of the long pulse 532-nm KTP laser alone or in combination with the long pulse 1064-nm Nd:YAG laser on facial rejuvenation in Asian skin. Lasers Surg Med. 2016;48:844-851. doi:10.1002/lsm.22582
- Kaushik S, Alexis AF. Nonablative fractional laser resurfacing in skin of color: evidence-based review. J Clin Aesthetic Dermatol. 2017;10:51-67.
- Garg S, Vashisht KR, Garg D, et al. Advancements in laser therapies for dermal hyperpigmentation in skin of color: a comprehensive literature review and experience of sequential laser treatments in a cohort of 122 Indian patients. J Clin Med. 2024;13:2116. doi:10.3390/jcm13072116
- Alizadeh Z, Halabchi F, Mazaheri R, et al. Review of the mechanisms and effects of noninvasive body contouring devices on cellulite and subcutaneous fat. Int J Endocrinol Metab. 2016;14:e36727. doi:10.5812/ijem.36727
- Rawlings AV. Ethnic skin types: are there differences in skin structure and function? Int J Cosmet Sci. 2006;28:79-93. doi:10.1111/j.1467-2494.2006.00302.x
- El-Domyati M, El-Ammawi TS, Medhat W, et al. Radiofrequency facial rejuvenation: Evidence-based effect. J Am Acad Dermatol. 2011;64:524-535. doi:10.1016/j.jaad.2010.06.045
- US Food and Drug Administration. Non-invasive body contouring technologies. Published December 7, 2022. Accessed July 23, 2025. https://www.fda.gov/medical-devices/aesthetic-cosmetic-devices/non-invasive-body-contouring-technologies
- Robinson DM, Kaminer MS, Baumann L, et al. High-intensity focused ultrasound for the reduction of subcutaneous adipose tissue using multiple treatment techniques. Dermatol Surg. 2014;40:641-651. doi:10.1111/dsu.0000000000000022
- Biskanaki F, Tertipi N, Sfyri E, et al. Complications and risks of high-intensity focused ultrasound (HIFU) in esthetic procedures: a review. Applied Sciences. 2025;15:4958. doi:10.3390/app15094958
- Lu PH, Yang CH, Chang YC. Quantitative analysis of face and neck skin tightening by microfocused ultrasound with visualization in Asians. Dermatol Surg. 2017;43:1332-1338. doi:10.1097/DSS.0000000000001181
- Avram MM, Harry RS. Cryolipolysis for subcutaneous fat layer reduction. Lasers Surg Med. 2009;41:703-708. doi:10.1002/lsm.20864
- Nishikawa A, Aikawa Y. Quantitative assessment of the cryolipolysis method for body contouring in Asian patients. Clin Cosmet Investig Dermatol. 2021;14:1773-1781. doi:10.2147/CCID.S337487
- Bass LS, Doherty ST. Safety and efficacy of a non-invasive 1060 nm diode laser for fat reduction of the abdomen. J Drugs Dermatol. 2018;17:106-112
- Shome D, Khare S, Kapoor R. The use of deoxycholic acid for the clinical reduction of excess submental fat in Indian patients. J Drugs Dermatol. 2019;18:266-272.
- Goodman GJ, Ho WWS, Chang KJ, et al. Efficacy of a novel injection lipolysis to induce targeted adipocyte apoptosis: a randomized, phase IIa study of CBL-514 injection on abdominal subcutaneous fat reduction. Aesthetic Surg J. 2022;42:NP662-NP674. doi:10.1093/asj/sjac162
- McDaniel D, Lozanova P. Human adipocyte apoptosis immediately following high frequency focused field radio frequency: case study.J Drugs Dermatol. 2015;14:622-623.
- Fritz K, Samková P, Salavastru C, et al. A novel selective RF applicator for reducing thigh circumference: a clinical evaluation. Dermatol Ther. 2016;29:92-95. doi:10.1111/dth.12304
- Kinney BM, Lozanova P. High intensity focused electromagnetic therapy evaluated by magnetic resonance imaging: safety and efficacy study of a dual tissue effect based non-invasive abdominal body shaping. Lasers Surg Med. 2019;51:40-46. doi:10.1002/lsm.23024
- Negosanti F, Cannarozzo G, Zingoni T, et al. Is it possible to reshape the body and tone it at the same time? Schwarzy: the new technology for body sculpting. Bioengineering (Basel). 2022;9:284. doi:10.3390/bioengineering9070284
PRACTICE POINTS
- Nonablative fractional lasers are preferred for acne scars in skin of color (SOC), minimizing hyperpigmentation risk.
- The 1064-nm Nd:YAG and picosecond lasers are safe and effective when used with SOC-appropriate settings.
- Photoprotection and topical lightening agents reduce postprocedure pigmentation risks.
Wear and Flare: Allergic Contact Dermatitis to Personal Electronic Devices
Wear and Flare: Allergic Contact Dermatitis to Personal Electronic Devices
Personal electronic devices have become more common as consumer-driven health and entertainment practices continue to increase in popularity. A wide variety of devices including smartphones, headphones and earbuds, fitness watches, and continuous glucose monitors (CGMs) allow consumers to collect data and personalize their daily activities and health practices. The global market for fitness tracking devices alone was valued at $62.03 billion in 2024 and is projected to grow to $290.85 billion by 2032.1 Accordingly, the growing demand for continuous data tracking has led to new and prolonged skin contact with these devices, which have become emerging sources of allergic contact dermatitis (ACD). In this article, we provide a summary of the potential allergenicity of personal electronic devices with a focus on wearable devices, including clinical manifestations, reported allergens, and patch testing and management considerations (Table2-28).

Earbuds and Headphones
Wireless earbuds and headphones are used for listening to media and may contain microphones for voice calls. Earbuds are inserted into the ears while headphones are worn over the ears with a connecting band across the scalp. These devices frequently are worn during physical activity and thus in the setting of moist sweaty environments and mechanical friction on the skin. Depending on the style of the earbuds or headphones, associated ACD may manifest as acute or chronic pruritic eczema involving the inner and/or outer ears and potentially the periauricular areas or scalp.2 In a reported case of earbud ACD, the patient first presented to an otolaryngologist before being referred to a dermatologist for further evaluation and patch testing.9 Clinicians may be unfamiliar with these devices as a source of ACD or may potentially overlook inner ear canal manifestations, which may delay diagnosis.
Allergens reported in earbuds include (meth)acrylates,4-6 nickel, gold,8 and silicone.9 Apple AirPods and Samsung Galaxy Buds disclose the presence of acrylates and nickel.5,6 Cases also have been reported of ACD to gold earbud microphones8 and unknown allergens within silicone tips.4,9 Acrylates, named the 2012 Allergen of the Year by the American Contact Dermatitis Society,29 are used in a wide variety of consumer products as adhesives and coatings and are among the most frequently suspected headphone allergens.4 While fully polymerized acrylates theoretically are nonallergenic, residual acrylic monomers are potent allergens that may be found in in these products due to incomplete curing or polymer breakdown.29 It remains unclear whether earbud allergen concentrations are sufficient to induce sensitization or merely elicit ACD in previously sensitized users.29 Among patients with earbud ACD, the finding of inconsistent patch test reactions/cross-reactions led to the hypothesis that these headphones may contain an unidentified proprietary (meth)acrylate.4
Headphones, often utilized by runners and gymgoers for their comfort and fit, also have gained recent attention for their unique allergen profiles. In 2024, a case series described primary sensitization to octylisothiazolinone causing severe headphone-related ACD.3 This preservative, which is in the same family as methylchloroisothiazolinone/methylisothiazolinone, is used as a biocide in the leather or faux leather that encases the foam padding of headphones.3 Another case report highlighted ACD caused by methylisothiazolinone, methylchloroisothiazolinone, and octylisothiazolinone present in various components of a pair of headphones.2 These cases are notable, as European legislation limiting the use of methylchloroisothiazolinone/methylisothiazolinone in personal care products does not apply to inclusion of isothiazolinones in other product categories, such as detergents, paints, glues, and personal electronic devices.
Mobile Phones
Mobile phones are a staple in modern society, used for a multitude of tasks including communication, internet browsing, entertainment, and activity tracking. In the early 2000s, mobile phone ACD primarily manifested on the lateral face, ears, and periauricular regions,12 as well as the thighs from carriage in pants pockets. Early cases of mobile phone ACD were attributed to metals including chromium16 and nickel.14 At that time, lengthy and frequent phone calls with the device against the ear were thought to increase exposure to metal allergens.30 More recently, as the utility of these devices has evolved, ACD has been reported to manifest on the fingers and hands associated with contact with cell phone cases, accessories, and screen protectors (Figure). In one report, a 17-year-old boy with chronic eczema of the palms was diagnosed with ACD to the rubber-related chemicals paraphenylenediamine and N-cyclohexyl-N-phenyl-4-phenylenediamine, confirmed via chemical analysis to be present in a phone case the patient used during daily gaming.17 Similarly, another case of palmar ACD resulted from thiuram rubber accelerators in a phone case.18 Most recently, a Japanese patient with a history of skin reactions to costume jewelry developed ACD involving the proximal middle finger due to exposure to nickel in a ring-grip phone case.11 While the European Union has enacted regulations regarding maximum nickel leaching in products that come into direct and prolonged contact with the skin, such regulations have not been implemented in Japan or the United States.11 International e-commerce makes these grips widely available, even in regions where strict metal regulations are in place. As screen time increases, it is important to consider all phone-related exposures including components of the case, screen protector, and main device body.

Watches
Smart watches and fitness bands are widely available to consumers and serve a variety of health and lifestyle functions. Features include fitness tracking, notification management, mobile payment, electrocardiography, navigation, and sleep and oxygen sensors. Multiple companies have produced hand- and wrist-based sensors for detailed wellness tracking within these categories. Allergic contact dermatitis to smart watches and wristbands manifests as eczematous lesions on the wrist (dorsal,21,22 volar,20 or circumferential involvement23,24).
(Meth)acrylates used to adhere screen protectors, house lithium ion batteries, and bind metal to plastic have been reported to cause ACD in smart watch users.22,25 In addition, there are at least 2 published reports of ACD to nickel in Apple Watches.21,31 Apple, having sold more than 229 million watches worldwide, has acknowledged the presence of trace acrylates and nickel in their watches (the latter falling below European Registration, Evaluation, Authorization, and Restriction of Chemicals limits).32 Hosoki et al20 identified ACD resulting from chromium exposure in the clasp of an Apple Watch band, which remains unreported by the manufacturer as a potential allergen.
Continuous Glucose Monitors
Continuous glucose monitoring systems provide users with dynamic information on their glycemic status and are associated with lower glycated hemoglobin and reduced episodes of hypoglycemia in patients with diabetes.33 Recently, growing interest in personalized health monitoring and performance optimization has expanded CGM use to individuals without diabetes; there are 2 over-the-counter CGM options currently available in the United States.34
Allergic contact dermatitis to CGMs in patients with diabetes is well characterized, manifesting as pruritic acute or chronic dermatitis at the sensor site.27 To date, we are unaware of published cases of ACD associated with use of CGM in individuals without diabetes; however, wearing a CGM during athletic activities and sweating could potentially increase adhesive degradation and/or penetration of allergens in the skin.6
Isobornyl acrylate, named the 2020 Allergen of the Year,35 is the most well-known contact allergen in glucose sensors.36,33 Initially suspected as a component of the CGM skin adhesive, isobornyl acrylate was found to leach from the device body onto the skin in users of one CGM device.36 Other reported allergens in CGM devices include colophony and related rosin derivatives, ethyl cyanoacrylate, and several chemicals that are not available as commercial patch test substances.27 Understanding these potential allergens is important for patch testing considerations as CGM use increases in individuals without diabetes.
Final Thoughts
Allergic contact dermatitis to personal electronic devices including wearables, sensors, and fitness trackers is an emerging problem that should be considered in cases of dermatitis of the wrists, hands, face, ears, or in any area that comes into contact with such devices. Although in-depth studies are lacking, certain wearable devices appear to introduce continuous, low-level allergen exposure that may be below the sensitization threshold but still is capable of eliciting ACD in previously sensitized users.21,26 Furthermore, increased allergen exposure is facilitated by prolonged skin contact, mechanical friction, and sweat.
Comprehensive patch testing often is necessary to diagnose cases of ACD to personal electronic devices.33 The thin-layer rapid use epicutaneous (T.R.U.E.) test does not include (meth)acrylates, which repeatedly have come up as culprit allergens.37 Isobornyl acrylate, a key allergen related to CGMs, is absent from standard patch test series.26 Nickel remains a common culprit in these devices despite adherence to European regulations.21 Since there is no obligation for manufacturers to declare all possible ingredients, chemical analysis can be useful in identifying potential allergens and directing the patch test strategy, but this is not feasible in general clinical practice outside the research setting.2
Following patch testing, patient education is essential to managing personal electronic device—induced ACD. Informed patients should switch to products that do not contain their triggers—although this may be more easily said than done, since incomplete ingredient disclosure from manufacturers may necessitate a frustrating and expensive trial-and-error approach. As wearable technology proliferates, device composition and potential contact allergen transparency must be prioritized by manufacturers and regulatory bodies. Until then, clinicians should stay on their toes regarding new and emerging clinical presentations and contact allergens in hopes of improving patient outcomes.
- Fitness tracker market size, share & industry analysis, by device type (smart watches, fitness bands, smart glasses, smart clothing, and others), by application (heart rate tracking, sleep measurement, glucose measurement, sports, running, and cycling tracking), by distribution channel (online, retail, and others), and regional forecast, 2025-2032. Fortune Business Insights. Updated June 9, 2025. Accessed June 25, 2025. https://www.fortunebusinessinsights.com/fitness-trackermarket-103358
- Caroppo ES, Stingeni L, Goracci L, et al. Wireless over-ear headphones: a new source of allergic contact dermatitis to isothiazolinones. Contact Dermatitis. 2024;90:621-625. doi:10.1111/cod.14528
- Menanteau M, Fenech G, Adam B, et al. Severe allergic contact dermatitis from octylisothiazolinone in over-ear headphones: a case series. Contact Dermatitis. 2025;92:291-298. doi:10.1111/cod.14733
- Shaver RL, Buonomo M, Scherman JA, et al. Contact allergy to acrylates in Apple AirPods Pro® headphones: a case series. Int J Dermatol. 2022;61:E459-E461. doi:10.1111/ijd.15954
- Fontane Hoyos CN, Goldminz AM. I’m all ears: common allergens in wireless in-ear headphones. Dermatitis. 2024;35:513-514. doi:10.1089/derm.2023.0251
- Lee LJ, Koh WL, Lim SPR. Allergic contact dermatitis to Apple AirPods Pro. Contact Dermatitis. 2022;86:127-129. doi:10.1111/cod.13987
- Chan J, Rabi S, Adler BL. Allergic contact dermatitis to (meth)acrylates in Apple AirPods headphones. Dermatitis. 2021;32:E111-E112. doi:10.1097/der.0000000000000735
- Hayakawa M, Suzuki C, Zhu Y, et al. Allergic contact dermatitis to gold in the parts of in-ear headphones. Contact Dermatitis. 2022;86:328-330. doi:10.1111/cod.14036
- Hua W, Jin Y, Yao X, et al. Allergic contact dermatitis to in-ear headphones occurring in the external ear. Contact Dermatitis. 2024;91:83-85. doi:10.1111/cod.14556
- Guarneri F, Guarneri C, Cannavò SP. An unusual case of cell phone dermatitis. Contact Dermatitis. 2010;62:117. doi:10.1111 /j.1600-0536.2009.01674.x
- Ueda S, Akashi K, Washio K. A case of contact dermatitis caused by a cell phone grip ring. Contact Dermatitis. 2025;92:155-156. doi:10.1111/cod.14719
- Roberts H, Tate B. Nickel allergy presenting as mobile phone contact dermatitis. Australas J Dermatol. 2010;51:23-25. doi:10.1111 /j.1440-0960.2009.00580.x
- Livideanu C, Giordano-Labadie F, Paul C. Cellular phone addiction and allergic contact dermatitis to nickel. Contact Dermatitis. 2007;57:130- 131. doi:10.1111/j.1600-0536.2007.01090.x
- Rajpara A, Feldman SR. Cell phone allergic contact dermatitis: case report and review. Dermatol Online J. 2010;16:9.
- Li K, Barankin B. Cutaneous manifestations of modern technology use. J Cutan Med Surg. 2011;15:347-353. doi:10.2310/7750.2011.10053
- Seishima M, Oyama Z, Yamamura M. Cellular phone dermatitis. Arch Dermatol. 2002;2:272-273.
- Corazza M, Schettini N, Catani M, et al. Pediatric allergic contact dermatitis due to rubber additives in a cellphone case. Dermatitis. 2021;32:E140-E141. doi:10.1097/der.0000000000000797
- Hamann D, Sköld MB, Hamann CR, et al. Thiuram allergic contact dermatitis on the hands after skin contact with a rubber cellphone case. Contact Dermatitis. 2019;80:130-131. doi:10.1111/cod.13140
- Williams PJ, King C, Arslanian V. Allergic contact dermatitis caused by a cell phone cover. Australas J Dermatol. 2012;53:76-77. doi:10.1111 /j.1440-0960.2011.00801.x
- Hosoki M, Tajima T, Miyagi M, et al. This report details a case of allergic contact dermatitis resulting from exposure to chromium in the clasp of an Apple Watch band. Dermatitis. Published online December 23, 2024. doi:10.1089/derm.2024.0171
- Levian B, Chan GC, Adler BL. Out of REACH: allergic contact dermatitis to nickel in an Apple Watch. Contact Dermatitis. 2024;90:99-101. doi:10.1111 /cod.14444
- Davies A, Stone N. Watch out! potential allergic contact dermatitis to acrylates in a smart watch. Contact Dermatitis. Published online December 26, 2024. doi:10.1111/cod.14749
- Gatica-Ortega ME, Mowitz M, Navarro-Triviño FJ, et al. Nonoccupational allergic contact dermatitis to 4-acryloylmorpholine in smartwatch screen protectors glue. Dermatitis. 2022;33:429-434. doi:10.1097 /der.0000000000000888
- Otero-Alonso A, Rodríguez-Vázquez V, López-Pesado I, et al. Smartwatch protective cover´s glue: a new non-occupational acrylate allergy. Contact Dermatitis. 2020;83:159-161. doi:10.1111/cod.13586
- Winston FK, Yan AC. Wearable health device dermatitis: a case of acrylate-related contact allergy. Cutis. 2017;100:97-99.
- Mowitz M, Hosseini S, Siemund I, et al. New device, ‘old’ allergens. allergic contact dermatitis caused by the Dexcom G7 glucose sensor. Contact Dermatitis. 2024;90:495-500. doi:10.1111/cod.14514
- de Groot A, van Oers EM, Ipenburg NA, et al. Allergic contact dermatitis caused by glucose sensors and insulin pumps: a full review: part 1: sensors and pumps, adverse cutaneous reactions, allergens, and diabetes devices causing allergic contact dermatitis. Contact Dermatitis. 2025;92:87-112. doi:10.1111/cod.14698
- Oppel E, Kamann S, Heinemann L, et al. Freestyle libre 2: the new isobornyl acrylate free generation. Contact Dermatitis. 2020;83:429-431. doi:10.1111/cod.13638
- Rodriguez I, George SE, Yu J, et al. Tackling acrylate allergy: the sticky truth. Cutis. 2023;112:282-286. doi:10.12788/cutis.0909
- Tan S, Nixon R. Allergic contact dermatitis caused by chromium in a mobile phone. Contact Dermatitis. 2011;65:246-247. doi:10.1111 /j.1600-0536.2011.01955.x
- Ko WC, Yu J. Nickel allergy elicited by an Apple Watch. Dermatitis. 2022;33:E11-E12. doi:10.1097/der.0000000000000848
- Apple Support. Wearing your Apple Watch: for people who are sensitive to certain materials. Accessed June 27, 2025. https://support.apple.com/en-us/118234
- Seibold A. Minimizing adverse skin reactions to wearable continuous glucose monitoring sensors in patients with diabetes. J Diabetes Sci Technol. 2021;15:713-714. doi:10.1177/1932296820984763
- Klonoff DC, Nguyen KT, Xu NY, et al. Use of continuous glucose monitors by people without diabetes: an idea whose time has come? J Diabetes Sci Technol. 2023;17:1686-1697. doi:10.1177/19322968221110830
- Aerts O, Herman A, Mowitz M, et al. Isobornyl acrylate. Dermatitis. 2020;31:4-12. doi:10.1097/der.0000000000000549
- Khatsenko K, Khin Y, Maibach H. Allergic contact dermatitis to components of wearable adhesive health devices. Dermatitis. 2020;31:283-286. doi:10.1097/der.0000000000000575
- SmartPractice. Contact dermatitis products. SmartPractice. Accessed April 24, 2025. https://www.smartpractice.com/shop/category?id=581719&m=SPA
Personal electronic devices have become more common as consumer-driven health and entertainment practices continue to increase in popularity. A wide variety of devices including smartphones, headphones and earbuds, fitness watches, and continuous glucose monitors (CGMs) allow consumers to collect data and personalize their daily activities and health practices. The global market for fitness tracking devices alone was valued at $62.03 billion in 2024 and is projected to grow to $290.85 billion by 2032.1 Accordingly, the growing demand for continuous data tracking has led to new and prolonged skin contact with these devices, which have become emerging sources of allergic contact dermatitis (ACD). In this article, we provide a summary of the potential allergenicity of personal electronic devices with a focus on wearable devices, including clinical manifestations, reported allergens, and patch testing and management considerations (Table2-28).

Earbuds and Headphones
Wireless earbuds and headphones are used for listening to media and may contain microphones for voice calls. Earbuds are inserted into the ears while headphones are worn over the ears with a connecting band across the scalp. These devices frequently are worn during physical activity and thus in the setting of moist sweaty environments and mechanical friction on the skin. Depending on the style of the earbuds or headphones, associated ACD may manifest as acute or chronic pruritic eczema involving the inner and/or outer ears and potentially the periauricular areas or scalp.2 In a reported case of earbud ACD, the patient first presented to an otolaryngologist before being referred to a dermatologist for further evaluation and patch testing.9 Clinicians may be unfamiliar with these devices as a source of ACD or may potentially overlook inner ear canal manifestations, which may delay diagnosis.
Allergens reported in earbuds include (meth)acrylates,4-6 nickel, gold,8 and silicone.9 Apple AirPods and Samsung Galaxy Buds disclose the presence of acrylates and nickel.5,6 Cases also have been reported of ACD to gold earbud microphones8 and unknown allergens within silicone tips.4,9 Acrylates, named the 2012 Allergen of the Year by the American Contact Dermatitis Society,29 are used in a wide variety of consumer products as adhesives and coatings and are among the most frequently suspected headphone allergens.4 While fully polymerized acrylates theoretically are nonallergenic, residual acrylic monomers are potent allergens that may be found in in these products due to incomplete curing or polymer breakdown.29 It remains unclear whether earbud allergen concentrations are sufficient to induce sensitization or merely elicit ACD in previously sensitized users.29 Among patients with earbud ACD, the finding of inconsistent patch test reactions/cross-reactions led to the hypothesis that these headphones may contain an unidentified proprietary (meth)acrylate.4
Headphones, often utilized by runners and gymgoers for their comfort and fit, also have gained recent attention for their unique allergen profiles. In 2024, a case series described primary sensitization to octylisothiazolinone causing severe headphone-related ACD.3 This preservative, which is in the same family as methylchloroisothiazolinone/methylisothiazolinone, is used as a biocide in the leather or faux leather that encases the foam padding of headphones.3 Another case report highlighted ACD caused by methylisothiazolinone, methylchloroisothiazolinone, and octylisothiazolinone present in various components of a pair of headphones.2 These cases are notable, as European legislation limiting the use of methylchloroisothiazolinone/methylisothiazolinone in personal care products does not apply to inclusion of isothiazolinones in other product categories, such as detergents, paints, glues, and personal electronic devices.
Mobile Phones
Mobile phones are a staple in modern society, used for a multitude of tasks including communication, internet browsing, entertainment, and activity tracking. In the early 2000s, mobile phone ACD primarily manifested on the lateral face, ears, and periauricular regions,12 as well as the thighs from carriage in pants pockets. Early cases of mobile phone ACD were attributed to metals including chromium16 and nickel.14 At that time, lengthy and frequent phone calls with the device against the ear were thought to increase exposure to metal allergens.30 More recently, as the utility of these devices has evolved, ACD has been reported to manifest on the fingers and hands associated with contact with cell phone cases, accessories, and screen protectors (Figure). In one report, a 17-year-old boy with chronic eczema of the palms was diagnosed with ACD to the rubber-related chemicals paraphenylenediamine and N-cyclohexyl-N-phenyl-4-phenylenediamine, confirmed via chemical analysis to be present in a phone case the patient used during daily gaming.17 Similarly, another case of palmar ACD resulted from thiuram rubber accelerators in a phone case.18 Most recently, a Japanese patient with a history of skin reactions to costume jewelry developed ACD involving the proximal middle finger due to exposure to nickel in a ring-grip phone case.11 While the European Union has enacted regulations regarding maximum nickel leaching in products that come into direct and prolonged contact with the skin, such regulations have not been implemented in Japan or the United States.11 International e-commerce makes these grips widely available, even in regions where strict metal regulations are in place. As screen time increases, it is important to consider all phone-related exposures including components of the case, screen protector, and main device body.

Watches
Smart watches and fitness bands are widely available to consumers and serve a variety of health and lifestyle functions. Features include fitness tracking, notification management, mobile payment, electrocardiography, navigation, and sleep and oxygen sensors. Multiple companies have produced hand- and wrist-based sensors for detailed wellness tracking within these categories. Allergic contact dermatitis to smart watches and wristbands manifests as eczematous lesions on the wrist (dorsal,21,22 volar,20 or circumferential involvement23,24).
(Meth)acrylates used to adhere screen protectors, house lithium ion batteries, and bind metal to plastic have been reported to cause ACD in smart watch users.22,25 In addition, there are at least 2 published reports of ACD to nickel in Apple Watches.21,31 Apple, having sold more than 229 million watches worldwide, has acknowledged the presence of trace acrylates and nickel in their watches (the latter falling below European Registration, Evaluation, Authorization, and Restriction of Chemicals limits).32 Hosoki et al20 identified ACD resulting from chromium exposure in the clasp of an Apple Watch band, which remains unreported by the manufacturer as a potential allergen.
Continuous Glucose Monitors
Continuous glucose monitoring systems provide users with dynamic information on their glycemic status and are associated with lower glycated hemoglobin and reduced episodes of hypoglycemia in patients with diabetes.33 Recently, growing interest in personalized health monitoring and performance optimization has expanded CGM use to individuals without diabetes; there are 2 over-the-counter CGM options currently available in the United States.34
Allergic contact dermatitis to CGMs in patients with diabetes is well characterized, manifesting as pruritic acute or chronic dermatitis at the sensor site.27 To date, we are unaware of published cases of ACD associated with use of CGM in individuals without diabetes; however, wearing a CGM during athletic activities and sweating could potentially increase adhesive degradation and/or penetration of allergens in the skin.6
Isobornyl acrylate, named the 2020 Allergen of the Year,35 is the most well-known contact allergen in glucose sensors.36,33 Initially suspected as a component of the CGM skin adhesive, isobornyl acrylate was found to leach from the device body onto the skin in users of one CGM device.36 Other reported allergens in CGM devices include colophony and related rosin derivatives, ethyl cyanoacrylate, and several chemicals that are not available as commercial patch test substances.27 Understanding these potential allergens is important for patch testing considerations as CGM use increases in individuals without diabetes.
Final Thoughts
Allergic contact dermatitis to personal electronic devices including wearables, sensors, and fitness trackers is an emerging problem that should be considered in cases of dermatitis of the wrists, hands, face, ears, or in any area that comes into contact with such devices. Although in-depth studies are lacking, certain wearable devices appear to introduce continuous, low-level allergen exposure that may be below the sensitization threshold but still is capable of eliciting ACD in previously sensitized users.21,26 Furthermore, increased allergen exposure is facilitated by prolonged skin contact, mechanical friction, and sweat.
Comprehensive patch testing often is necessary to diagnose cases of ACD to personal electronic devices.33 The thin-layer rapid use epicutaneous (T.R.U.E.) test does not include (meth)acrylates, which repeatedly have come up as culprit allergens.37 Isobornyl acrylate, a key allergen related to CGMs, is absent from standard patch test series.26 Nickel remains a common culprit in these devices despite adherence to European regulations.21 Since there is no obligation for manufacturers to declare all possible ingredients, chemical analysis can be useful in identifying potential allergens and directing the patch test strategy, but this is not feasible in general clinical practice outside the research setting.2
Following patch testing, patient education is essential to managing personal electronic device—induced ACD. Informed patients should switch to products that do not contain their triggers—although this may be more easily said than done, since incomplete ingredient disclosure from manufacturers may necessitate a frustrating and expensive trial-and-error approach. As wearable technology proliferates, device composition and potential contact allergen transparency must be prioritized by manufacturers and regulatory bodies. Until then, clinicians should stay on their toes regarding new and emerging clinical presentations and contact allergens in hopes of improving patient outcomes.
Personal electronic devices have become more common as consumer-driven health and entertainment practices continue to increase in popularity. A wide variety of devices including smartphones, headphones and earbuds, fitness watches, and continuous glucose monitors (CGMs) allow consumers to collect data and personalize their daily activities and health practices. The global market for fitness tracking devices alone was valued at $62.03 billion in 2024 and is projected to grow to $290.85 billion by 2032.1 Accordingly, the growing demand for continuous data tracking has led to new and prolonged skin contact with these devices, which have become emerging sources of allergic contact dermatitis (ACD). In this article, we provide a summary of the potential allergenicity of personal electronic devices with a focus on wearable devices, including clinical manifestations, reported allergens, and patch testing and management considerations (Table2-28).

Earbuds and Headphones
Wireless earbuds and headphones are used for listening to media and may contain microphones for voice calls. Earbuds are inserted into the ears while headphones are worn over the ears with a connecting band across the scalp. These devices frequently are worn during physical activity and thus in the setting of moist sweaty environments and mechanical friction on the skin. Depending on the style of the earbuds or headphones, associated ACD may manifest as acute or chronic pruritic eczema involving the inner and/or outer ears and potentially the periauricular areas or scalp.2 In a reported case of earbud ACD, the patient first presented to an otolaryngologist before being referred to a dermatologist for further evaluation and patch testing.9 Clinicians may be unfamiliar with these devices as a source of ACD or may potentially overlook inner ear canal manifestations, which may delay diagnosis.
Allergens reported in earbuds include (meth)acrylates,4-6 nickel, gold,8 and silicone.9 Apple AirPods and Samsung Galaxy Buds disclose the presence of acrylates and nickel.5,6 Cases also have been reported of ACD to gold earbud microphones8 and unknown allergens within silicone tips.4,9 Acrylates, named the 2012 Allergen of the Year by the American Contact Dermatitis Society,29 are used in a wide variety of consumer products as adhesives and coatings and are among the most frequently suspected headphone allergens.4 While fully polymerized acrylates theoretically are nonallergenic, residual acrylic monomers are potent allergens that may be found in in these products due to incomplete curing or polymer breakdown.29 It remains unclear whether earbud allergen concentrations are sufficient to induce sensitization or merely elicit ACD in previously sensitized users.29 Among patients with earbud ACD, the finding of inconsistent patch test reactions/cross-reactions led to the hypothesis that these headphones may contain an unidentified proprietary (meth)acrylate.4
Headphones, often utilized by runners and gymgoers for their comfort and fit, also have gained recent attention for their unique allergen profiles. In 2024, a case series described primary sensitization to octylisothiazolinone causing severe headphone-related ACD.3 This preservative, which is in the same family as methylchloroisothiazolinone/methylisothiazolinone, is used as a biocide in the leather or faux leather that encases the foam padding of headphones.3 Another case report highlighted ACD caused by methylisothiazolinone, methylchloroisothiazolinone, and octylisothiazolinone present in various components of a pair of headphones.2 These cases are notable, as European legislation limiting the use of methylchloroisothiazolinone/methylisothiazolinone in personal care products does not apply to inclusion of isothiazolinones in other product categories, such as detergents, paints, glues, and personal electronic devices.
Mobile Phones
Mobile phones are a staple in modern society, used for a multitude of tasks including communication, internet browsing, entertainment, and activity tracking. In the early 2000s, mobile phone ACD primarily manifested on the lateral face, ears, and periauricular regions,12 as well as the thighs from carriage in pants pockets. Early cases of mobile phone ACD were attributed to metals including chromium16 and nickel.14 At that time, lengthy and frequent phone calls with the device against the ear were thought to increase exposure to metal allergens.30 More recently, as the utility of these devices has evolved, ACD has been reported to manifest on the fingers and hands associated with contact with cell phone cases, accessories, and screen protectors (Figure). In one report, a 17-year-old boy with chronic eczema of the palms was diagnosed with ACD to the rubber-related chemicals paraphenylenediamine and N-cyclohexyl-N-phenyl-4-phenylenediamine, confirmed via chemical analysis to be present in a phone case the patient used during daily gaming.17 Similarly, another case of palmar ACD resulted from thiuram rubber accelerators in a phone case.18 Most recently, a Japanese patient with a history of skin reactions to costume jewelry developed ACD involving the proximal middle finger due to exposure to nickel in a ring-grip phone case.11 While the European Union has enacted regulations regarding maximum nickel leaching in products that come into direct and prolonged contact with the skin, such regulations have not been implemented in Japan or the United States.11 International e-commerce makes these grips widely available, even in regions where strict metal regulations are in place. As screen time increases, it is important to consider all phone-related exposures including components of the case, screen protector, and main device body.

Watches
Smart watches and fitness bands are widely available to consumers and serve a variety of health and lifestyle functions. Features include fitness tracking, notification management, mobile payment, electrocardiography, navigation, and sleep and oxygen sensors. Multiple companies have produced hand- and wrist-based sensors for detailed wellness tracking within these categories. Allergic contact dermatitis to smart watches and wristbands manifests as eczematous lesions on the wrist (dorsal,21,22 volar,20 or circumferential involvement23,24).
(Meth)acrylates used to adhere screen protectors, house lithium ion batteries, and bind metal to plastic have been reported to cause ACD in smart watch users.22,25 In addition, there are at least 2 published reports of ACD to nickel in Apple Watches.21,31 Apple, having sold more than 229 million watches worldwide, has acknowledged the presence of trace acrylates and nickel in their watches (the latter falling below European Registration, Evaluation, Authorization, and Restriction of Chemicals limits).32 Hosoki et al20 identified ACD resulting from chromium exposure in the clasp of an Apple Watch band, which remains unreported by the manufacturer as a potential allergen.
Continuous Glucose Monitors
Continuous glucose monitoring systems provide users with dynamic information on their glycemic status and are associated with lower glycated hemoglobin and reduced episodes of hypoglycemia in patients with diabetes.33 Recently, growing interest in personalized health monitoring and performance optimization has expanded CGM use to individuals without diabetes; there are 2 over-the-counter CGM options currently available in the United States.34
Allergic contact dermatitis to CGMs in patients with diabetes is well characterized, manifesting as pruritic acute or chronic dermatitis at the sensor site.27 To date, we are unaware of published cases of ACD associated with use of CGM in individuals without diabetes; however, wearing a CGM during athletic activities and sweating could potentially increase adhesive degradation and/or penetration of allergens in the skin.6
Isobornyl acrylate, named the 2020 Allergen of the Year,35 is the most well-known contact allergen in glucose sensors.36,33 Initially suspected as a component of the CGM skin adhesive, isobornyl acrylate was found to leach from the device body onto the skin in users of one CGM device.36 Other reported allergens in CGM devices include colophony and related rosin derivatives, ethyl cyanoacrylate, and several chemicals that are not available as commercial patch test substances.27 Understanding these potential allergens is important for patch testing considerations as CGM use increases in individuals without diabetes.
Final Thoughts
Allergic contact dermatitis to personal electronic devices including wearables, sensors, and fitness trackers is an emerging problem that should be considered in cases of dermatitis of the wrists, hands, face, ears, or in any area that comes into contact with such devices. Although in-depth studies are lacking, certain wearable devices appear to introduce continuous, low-level allergen exposure that may be below the sensitization threshold but still is capable of eliciting ACD in previously sensitized users.21,26 Furthermore, increased allergen exposure is facilitated by prolonged skin contact, mechanical friction, and sweat.
Comprehensive patch testing often is necessary to diagnose cases of ACD to personal electronic devices.33 The thin-layer rapid use epicutaneous (T.R.U.E.) test does not include (meth)acrylates, which repeatedly have come up as culprit allergens.37 Isobornyl acrylate, a key allergen related to CGMs, is absent from standard patch test series.26 Nickel remains a common culprit in these devices despite adherence to European regulations.21 Since there is no obligation for manufacturers to declare all possible ingredients, chemical analysis can be useful in identifying potential allergens and directing the patch test strategy, but this is not feasible in general clinical practice outside the research setting.2
Following patch testing, patient education is essential to managing personal electronic device—induced ACD. Informed patients should switch to products that do not contain their triggers—although this may be more easily said than done, since incomplete ingredient disclosure from manufacturers may necessitate a frustrating and expensive trial-and-error approach. As wearable technology proliferates, device composition and potential contact allergen transparency must be prioritized by manufacturers and regulatory bodies. Until then, clinicians should stay on their toes regarding new and emerging clinical presentations and contact allergens in hopes of improving patient outcomes.
- Fitness tracker market size, share & industry analysis, by device type (smart watches, fitness bands, smart glasses, smart clothing, and others), by application (heart rate tracking, sleep measurement, glucose measurement, sports, running, and cycling tracking), by distribution channel (online, retail, and others), and regional forecast, 2025-2032. Fortune Business Insights. Updated June 9, 2025. Accessed June 25, 2025. https://www.fortunebusinessinsights.com/fitness-trackermarket-103358
- Caroppo ES, Stingeni L, Goracci L, et al. Wireless over-ear headphones: a new source of allergic contact dermatitis to isothiazolinones. Contact Dermatitis. 2024;90:621-625. doi:10.1111/cod.14528
- Menanteau M, Fenech G, Adam B, et al. Severe allergic contact dermatitis from octylisothiazolinone in over-ear headphones: a case series. Contact Dermatitis. 2025;92:291-298. doi:10.1111/cod.14733
- Shaver RL, Buonomo M, Scherman JA, et al. Contact allergy to acrylates in Apple AirPods Pro® headphones: a case series. Int J Dermatol. 2022;61:E459-E461. doi:10.1111/ijd.15954
- Fontane Hoyos CN, Goldminz AM. I’m all ears: common allergens in wireless in-ear headphones. Dermatitis. 2024;35:513-514. doi:10.1089/derm.2023.0251
- Lee LJ, Koh WL, Lim SPR. Allergic contact dermatitis to Apple AirPods Pro. Contact Dermatitis. 2022;86:127-129. doi:10.1111/cod.13987
- Chan J, Rabi S, Adler BL. Allergic contact dermatitis to (meth)acrylates in Apple AirPods headphones. Dermatitis. 2021;32:E111-E112. doi:10.1097/der.0000000000000735
- Hayakawa M, Suzuki C, Zhu Y, et al. Allergic contact dermatitis to gold in the parts of in-ear headphones. Contact Dermatitis. 2022;86:328-330. doi:10.1111/cod.14036
- Hua W, Jin Y, Yao X, et al. Allergic contact dermatitis to in-ear headphones occurring in the external ear. Contact Dermatitis. 2024;91:83-85. doi:10.1111/cod.14556
- Guarneri F, Guarneri C, Cannavò SP. An unusual case of cell phone dermatitis. Contact Dermatitis. 2010;62:117. doi:10.1111 /j.1600-0536.2009.01674.x
- Ueda S, Akashi K, Washio K. A case of contact dermatitis caused by a cell phone grip ring. Contact Dermatitis. 2025;92:155-156. doi:10.1111/cod.14719
- Roberts H, Tate B. Nickel allergy presenting as mobile phone contact dermatitis. Australas J Dermatol. 2010;51:23-25. doi:10.1111 /j.1440-0960.2009.00580.x
- Livideanu C, Giordano-Labadie F, Paul C. Cellular phone addiction and allergic contact dermatitis to nickel. Contact Dermatitis. 2007;57:130- 131. doi:10.1111/j.1600-0536.2007.01090.x
- Rajpara A, Feldman SR. Cell phone allergic contact dermatitis: case report and review. Dermatol Online J. 2010;16:9.
- Li K, Barankin B. Cutaneous manifestations of modern technology use. J Cutan Med Surg. 2011;15:347-353. doi:10.2310/7750.2011.10053
- Seishima M, Oyama Z, Yamamura M. Cellular phone dermatitis. Arch Dermatol. 2002;2:272-273.
- Corazza M, Schettini N, Catani M, et al. Pediatric allergic contact dermatitis due to rubber additives in a cellphone case. Dermatitis. 2021;32:E140-E141. doi:10.1097/der.0000000000000797
- Hamann D, Sköld MB, Hamann CR, et al. Thiuram allergic contact dermatitis on the hands after skin contact with a rubber cellphone case. Contact Dermatitis. 2019;80:130-131. doi:10.1111/cod.13140
- Williams PJ, King C, Arslanian V. Allergic contact dermatitis caused by a cell phone cover. Australas J Dermatol. 2012;53:76-77. doi:10.1111 /j.1440-0960.2011.00801.x
- Hosoki M, Tajima T, Miyagi M, et al. This report details a case of allergic contact dermatitis resulting from exposure to chromium in the clasp of an Apple Watch band. Dermatitis. Published online December 23, 2024. doi:10.1089/derm.2024.0171
- Levian B, Chan GC, Adler BL. Out of REACH: allergic contact dermatitis to nickel in an Apple Watch. Contact Dermatitis. 2024;90:99-101. doi:10.1111 /cod.14444
- Davies A, Stone N. Watch out! potential allergic contact dermatitis to acrylates in a smart watch. Contact Dermatitis. Published online December 26, 2024. doi:10.1111/cod.14749
- Gatica-Ortega ME, Mowitz M, Navarro-Triviño FJ, et al. Nonoccupational allergic contact dermatitis to 4-acryloylmorpholine in smartwatch screen protectors glue. Dermatitis. 2022;33:429-434. doi:10.1097 /der.0000000000000888
- Otero-Alonso A, Rodríguez-Vázquez V, López-Pesado I, et al. Smartwatch protective cover´s glue: a new non-occupational acrylate allergy. Contact Dermatitis. 2020;83:159-161. doi:10.1111/cod.13586
- Winston FK, Yan AC. Wearable health device dermatitis: a case of acrylate-related contact allergy. Cutis. 2017;100:97-99.
- Mowitz M, Hosseini S, Siemund I, et al. New device, ‘old’ allergens. allergic contact dermatitis caused by the Dexcom G7 glucose sensor. Contact Dermatitis. 2024;90:495-500. doi:10.1111/cod.14514
- de Groot A, van Oers EM, Ipenburg NA, et al. Allergic contact dermatitis caused by glucose sensors and insulin pumps: a full review: part 1: sensors and pumps, adverse cutaneous reactions, allergens, and diabetes devices causing allergic contact dermatitis. Contact Dermatitis. 2025;92:87-112. doi:10.1111/cod.14698
- Oppel E, Kamann S, Heinemann L, et al. Freestyle libre 2: the new isobornyl acrylate free generation. Contact Dermatitis. 2020;83:429-431. doi:10.1111/cod.13638
- Rodriguez I, George SE, Yu J, et al. Tackling acrylate allergy: the sticky truth. Cutis. 2023;112:282-286. doi:10.12788/cutis.0909
- Tan S, Nixon R. Allergic contact dermatitis caused by chromium in a mobile phone. Contact Dermatitis. 2011;65:246-247. doi:10.1111 /j.1600-0536.2011.01955.x
- Ko WC, Yu J. Nickel allergy elicited by an Apple Watch. Dermatitis. 2022;33:E11-E12. doi:10.1097/der.0000000000000848
- Apple Support. Wearing your Apple Watch: for people who are sensitive to certain materials. Accessed June 27, 2025. https://support.apple.com/en-us/118234
- Seibold A. Minimizing adverse skin reactions to wearable continuous glucose monitoring sensors in patients with diabetes. J Diabetes Sci Technol. 2021;15:713-714. doi:10.1177/1932296820984763
- Klonoff DC, Nguyen KT, Xu NY, et al. Use of continuous glucose monitors by people without diabetes: an idea whose time has come? J Diabetes Sci Technol. 2023;17:1686-1697. doi:10.1177/19322968221110830
- Aerts O, Herman A, Mowitz M, et al. Isobornyl acrylate. Dermatitis. 2020;31:4-12. doi:10.1097/der.0000000000000549
- Khatsenko K, Khin Y, Maibach H. Allergic contact dermatitis to components of wearable adhesive health devices. Dermatitis. 2020;31:283-286. doi:10.1097/der.0000000000000575
- SmartPractice. Contact dermatitis products. SmartPractice. Accessed April 24, 2025. https://www.smartpractice.com/shop/category?id=581719&m=SPA
- Fitness tracker market size, share & industry analysis, by device type (smart watches, fitness bands, smart glasses, smart clothing, and others), by application (heart rate tracking, sleep measurement, glucose measurement, sports, running, and cycling tracking), by distribution channel (online, retail, and others), and regional forecast, 2025-2032. Fortune Business Insights. Updated June 9, 2025. Accessed June 25, 2025. https://www.fortunebusinessinsights.com/fitness-trackermarket-103358
- Caroppo ES, Stingeni L, Goracci L, et al. Wireless over-ear headphones: a new source of allergic contact dermatitis to isothiazolinones. Contact Dermatitis. 2024;90:621-625. doi:10.1111/cod.14528
- Menanteau M, Fenech G, Adam B, et al. Severe allergic contact dermatitis from octylisothiazolinone in over-ear headphones: a case series. Contact Dermatitis. 2025;92:291-298. doi:10.1111/cod.14733
- Shaver RL, Buonomo M, Scherman JA, et al. Contact allergy to acrylates in Apple AirPods Pro® headphones: a case series. Int J Dermatol. 2022;61:E459-E461. doi:10.1111/ijd.15954
- Fontane Hoyos CN, Goldminz AM. I’m all ears: common allergens in wireless in-ear headphones. Dermatitis. 2024;35:513-514. doi:10.1089/derm.2023.0251
- Lee LJ, Koh WL, Lim SPR. Allergic contact dermatitis to Apple AirPods Pro. Contact Dermatitis. 2022;86:127-129. doi:10.1111/cod.13987
- Chan J, Rabi S, Adler BL. Allergic contact dermatitis to (meth)acrylates in Apple AirPods headphones. Dermatitis. 2021;32:E111-E112. doi:10.1097/der.0000000000000735
- Hayakawa M, Suzuki C, Zhu Y, et al. Allergic contact dermatitis to gold in the parts of in-ear headphones. Contact Dermatitis. 2022;86:328-330. doi:10.1111/cod.14036
- Hua W, Jin Y, Yao X, et al. Allergic contact dermatitis to in-ear headphones occurring in the external ear. Contact Dermatitis. 2024;91:83-85. doi:10.1111/cod.14556
- Guarneri F, Guarneri C, Cannavò SP. An unusual case of cell phone dermatitis. Contact Dermatitis. 2010;62:117. doi:10.1111 /j.1600-0536.2009.01674.x
- Ueda S, Akashi K, Washio K. A case of contact dermatitis caused by a cell phone grip ring. Contact Dermatitis. 2025;92:155-156. doi:10.1111/cod.14719
- Roberts H, Tate B. Nickel allergy presenting as mobile phone contact dermatitis. Australas J Dermatol. 2010;51:23-25. doi:10.1111 /j.1440-0960.2009.00580.x
- Livideanu C, Giordano-Labadie F, Paul C. Cellular phone addiction and allergic contact dermatitis to nickel. Contact Dermatitis. 2007;57:130- 131. doi:10.1111/j.1600-0536.2007.01090.x
- Rajpara A, Feldman SR. Cell phone allergic contact dermatitis: case report and review. Dermatol Online J. 2010;16:9.
- Li K, Barankin B. Cutaneous manifestations of modern technology use. J Cutan Med Surg. 2011;15:347-353. doi:10.2310/7750.2011.10053
- Seishima M, Oyama Z, Yamamura M. Cellular phone dermatitis. Arch Dermatol. 2002;2:272-273.
- Corazza M, Schettini N, Catani M, et al. Pediatric allergic contact dermatitis due to rubber additives in a cellphone case. Dermatitis. 2021;32:E140-E141. doi:10.1097/der.0000000000000797
- Hamann D, Sköld MB, Hamann CR, et al. Thiuram allergic contact dermatitis on the hands after skin contact with a rubber cellphone case. Contact Dermatitis. 2019;80:130-131. doi:10.1111/cod.13140
- Williams PJ, King C, Arslanian V. Allergic contact dermatitis caused by a cell phone cover. Australas J Dermatol. 2012;53:76-77. doi:10.1111 /j.1440-0960.2011.00801.x
- Hosoki M, Tajima T, Miyagi M, et al. This report details a case of allergic contact dermatitis resulting from exposure to chromium in the clasp of an Apple Watch band. Dermatitis. Published online December 23, 2024. doi:10.1089/derm.2024.0171
- Levian B, Chan GC, Adler BL. Out of REACH: allergic contact dermatitis to nickel in an Apple Watch. Contact Dermatitis. 2024;90:99-101. doi:10.1111 /cod.14444
- Davies A, Stone N. Watch out! potential allergic contact dermatitis to acrylates in a smart watch. Contact Dermatitis. Published online December 26, 2024. doi:10.1111/cod.14749
- Gatica-Ortega ME, Mowitz M, Navarro-Triviño FJ, et al. Nonoccupational allergic contact dermatitis to 4-acryloylmorpholine in smartwatch screen protectors glue. Dermatitis. 2022;33:429-434. doi:10.1097 /der.0000000000000888
- Otero-Alonso A, Rodríguez-Vázquez V, López-Pesado I, et al. Smartwatch protective cover´s glue: a new non-occupational acrylate allergy. Contact Dermatitis. 2020;83:159-161. doi:10.1111/cod.13586
- Winston FK, Yan AC. Wearable health device dermatitis: a case of acrylate-related contact allergy. Cutis. 2017;100:97-99.
- Mowitz M, Hosseini S, Siemund I, et al. New device, ‘old’ allergens. allergic contact dermatitis caused by the Dexcom G7 glucose sensor. Contact Dermatitis. 2024;90:495-500. doi:10.1111/cod.14514
- de Groot A, van Oers EM, Ipenburg NA, et al. Allergic contact dermatitis caused by glucose sensors and insulin pumps: a full review: part 1: sensors and pumps, adverse cutaneous reactions, allergens, and diabetes devices causing allergic contact dermatitis. Contact Dermatitis. 2025;92:87-112. doi:10.1111/cod.14698
- Oppel E, Kamann S, Heinemann L, et al. Freestyle libre 2: the new isobornyl acrylate free generation. Contact Dermatitis. 2020;83:429-431. doi:10.1111/cod.13638
- Rodriguez I, George SE, Yu J, et al. Tackling acrylate allergy: the sticky truth. Cutis. 2023;112:282-286. doi:10.12788/cutis.0909
- Tan S, Nixon R. Allergic contact dermatitis caused by chromium in a mobile phone. Contact Dermatitis. 2011;65:246-247. doi:10.1111 /j.1600-0536.2011.01955.x
- Ko WC, Yu J. Nickel allergy elicited by an Apple Watch. Dermatitis. 2022;33:E11-E12. doi:10.1097/der.0000000000000848
- Apple Support. Wearing your Apple Watch: for people who are sensitive to certain materials. Accessed June 27, 2025. https://support.apple.com/en-us/118234
- Seibold A. Minimizing adverse skin reactions to wearable continuous glucose monitoring sensors in patients with diabetes. J Diabetes Sci Technol. 2021;15:713-714. doi:10.1177/1932296820984763
- Klonoff DC, Nguyen KT, Xu NY, et al. Use of continuous glucose monitors by people without diabetes: an idea whose time has come? J Diabetes Sci Technol. 2023;17:1686-1697. doi:10.1177/19322968221110830
- Aerts O, Herman A, Mowitz M, et al. Isobornyl acrylate. Dermatitis. 2020;31:4-12. doi:10.1097/der.0000000000000549
- Khatsenko K, Khin Y, Maibach H. Allergic contact dermatitis to components of wearable adhesive health devices. Dermatitis. 2020;31:283-286. doi:10.1097/der.0000000000000575
- SmartPractice. Contact dermatitis products. SmartPractice. Accessed April 24, 2025. https://www.smartpractice.com/shop/category?id=581719&m=SPA
Wear and Flare: Allergic Contact Dermatitis to Personal Electronic Devices
Wear and Flare: Allergic Contact Dermatitis to Personal Electronic Devices
PRACTICE POINTS
- Personal electronic devices including smart phones, headphones, watches, and continuous glucose monitors represent an emerging source of allergic contact dermatitis.
- Reactions often are localized to areas of skin contact including the face, ears, wrists, and hands.
- Reported allergens in personal electronic devices include (meth)acrylates, metals, and rubber compounds.
- Patch testing is key in detecting and avoiding culprit allergens, but a major challenge is lack of transparency regarding device composition and ingredients.
Choosing the Best Formalin-Resistant Ink for Biopsy Specimen Labeling
Choosing the Best Formalin-Resistant Ink for Biopsy Specimen Labeling
Practice Gap
Many dermatology practices utilize pens and markers to label biopsy specimen containers, but the ink may have variable susceptibility to fading and smearing when exposed to moisture before processing. Specimen containers often are placed in plastic bags for transport. If formalin accidentally spills into the bag during this time, the labels may be exposed to moisture for hours, overnight, or even over a weekend. Effective labeling with formalin-resistant ink is crucial for maintaining the clarity of anatomic location and planning treatment, especially when multiple samples are obtained.
The Technique
We tested 12 pens and markers commonly used when labeling specimen containers to determine their susceptibility to fading due to accidental formalin exposure (Figure). Various inks were allowed to dry on sample specimen labels for 5 minutes before a thin layer of 10% buffered formalin was evenly distributed over the dried ink. Photographs of the labels were taken at baseline as well as 15 minutes, 1 hour, 3 hours, and 24 hours after formalin exposure.

Fading was observed in both the skin marker and gel panes after 15 minutes and peaked after 1 hour. Gel pens were most susceptible to fading on exposure to formalin, and the level of fading varied by ink color, with certain colors disappearing almost entirely (Figure). The solvent-resistant marker had a robust defense to formalin, as did both ballpoint pens.
Practice Implications
Given our findings, dermatology practices should avoid using gel pens to label specimen containers. Solvent-resistant markers performed as expected; however, ballpoint pens appeared to withstand formalin exposure to a similar degree and often are more readily available. Labeling biopsy specimens with an appropriate ink ensures that each sample is clearly identified with the appropriate anatomic location and any other relevant patient information.
Practice Gap
Many dermatology practices utilize pens and markers to label biopsy specimen containers, but the ink may have variable susceptibility to fading and smearing when exposed to moisture before processing. Specimen containers often are placed in plastic bags for transport. If formalin accidentally spills into the bag during this time, the labels may be exposed to moisture for hours, overnight, or even over a weekend. Effective labeling with formalin-resistant ink is crucial for maintaining the clarity of anatomic location and planning treatment, especially when multiple samples are obtained.
The Technique
We tested 12 pens and markers commonly used when labeling specimen containers to determine their susceptibility to fading due to accidental formalin exposure (Figure). Various inks were allowed to dry on sample specimen labels for 5 minutes before a thin layer of 10% buffered formalin was evenly distributed over the dried ink. Photographs of the labels were taken at baseline as well as 15 minutes, 1 hour, 3 hours, and 24 hours after formalin exposure.

Fading was observed in both the skin marker and gel panes after 15 minutes and peaked after 1 hour. Gel pens were most susceptible to fading on exposure to formalin, and the level of fading varied by ink color, with certain colors disappearing almost entirely (Figure). The solvent-resistant marker had a robust defense to formalin, as did both ballpoint pens.
Practice Implications
Given our findings, dermatology practices should avoid using gel pens to label specimen containers. Solvent-resistant markers performed as expected; however, ballpoint pens appeared to withstand formalin exposure to a similar degree and often are more readily available. Labeling biopsy specimens with an appropriate ink ensures that each sample is clearly identified with the appropriate anatomic location and any other relevant patient information.
Practice Gap
Many dermatology practices utilize pens and markers to label biopsy specimen containers, but the ink may have variable susceptibility to fading and smearing when exposed to moisture before processing. Specimen containers often are placed in plastic bags for transport. If formalin accidentally spills into the bag during this time, the labels may be exposed to moisture for hours, overnight, or even over a weekend. Effective labeling with formalin-resistant ink is crucial for maintaining the clarity of anatomic location and planning treatment, especially when multiple samples are obtained.
The Technique
We tested 12 pens and markers commonly used when labeling specimen containers to determine their susceptibility to fading due to accidental formalin exposure (Figure). Various inks were allowed to dry on sample specimen labels for 5 minutes before a thin layer of 10% buffered formalin was evenly distributed over the dried ink. Photographs of the labels were taken at baseline as well as 15 minutes, 1 hour, 3 hours, and 24 hours after formalin exposure.

Fading was observed in both the skin marker and gel panes after 15 minutes and peaked after 1 hour. Gel pens were most susceptible to fading on exposure to formalin, and the level of fading varied by ink color, with certain colors disappearing almost entirely (Figure). The solvent-resistant marker had a robust defense to formalin, as did both ballpoint pens.
Practice Implications
Given our findings, dermatology practices should avoid using gel pens to label specimen containers. Solvent-resistant markers performed as expected; however, ballpoint pens appeared to withstand formalin exposure to a similar degree and often are more readily available. Labeling biopsy specimens with an appropriate ink ensures that each sample is clearly identified with the appropriate anatomic location and any other relevant patient information.
Choosing the Best Formalin-Resistant Ink for Biopsy Specimen Labeling
Choosing the Best Formalin-Resistant Ink for Biopsy Specimen Labeling