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extacy
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A peer-reviewed clinical journal serving healthcare professionals working with the Department of Veterans Affairs, the Department of Defense, and the Public Health Service.
VA Choice Bill Defeated in the House
A U.S. House of Representatives appropriation to fund the Veterans Choice Program surprisingly went down to defeat on Monday. The VA Choice Program is set to run out of money in September, and VA officials have been calling for Congress to provide additional funding for the program. Republican leaders, hoping to expedite the bill’s passage and thinking that it was not controversial, submitted the bill in a process that required the votes of two-thirds of the representatives. The 219-186 vote fell well short of the necessary two-thirds, and voting fell largely along party lines.
Many veterans service organizations (VSOs) were critical of the bill and called on the House to make substantial changes to it. Seven VSOs signed a joint statement calling for the bill’s defeat. “As organizations who represent and support the interests of America’s 21 million veterans, and in fulfillment of our mandate to ensure that the men and women who served are able to receive the health care and benefits they need and deserve, we are calling on Members of Congress to defeat the House vote on unacceptable choice funding legislation (S. 114, with amendments),” the statement read.
AMVETS, Disabled American Veterans , Military Officers Association of America, Military Order of the Purple Heart, Veterans of Foreign Wars, Vietnam Veterans of America, and Wounded Warrior Project all signed on to the statement. The chief complaint was that the legislation “includes funding only for the ‘choice’ program which provides additional community care options, but makes no investment in VA and uses ‘savings’ from other veterans benefits or services to ‘pay’ for the ‘choice’ program.”
The bill would have allocated $2 billion for the Veterans Choice Program, taken funding for veteran housing loan fees, and would reduce the pensions for some veterans living in nursing facilities that also could be paid for under the Medicaid program.
The fate of the bill and funding for the Veterans Choice Program remains unclear. Senate and House veterans committees seem to be far apart on how to fund the program and for efforts to make more substantive changes to the program. Although House Republicans eventually may be able to pass a bill without Democrats, in the Senate, they will need the support of at least a handful of Democrats to move the bill to the President’s desk.
A U.S. House of Representatives appropriation to fund the Veterans Choice Program surprisingly went down to defeat on Monday. The VA Choice Program is set to run out of money in September, and VA officials have been calling for Congress to provide additional funding for the program. Republican leaders, hoping to expedite the bill’s passage and thinking that it was not controversial, submitted the bill in a process that required the votes of two-thirds of the representatives. The 219-186 vote fell well short of the necessary two-thirds, and voting fell largely along party lines.
Many veterans service organizations (VSOs) were critical of the bill and called on the House to make substantial changes to it. Seven VSOs signed a joint statement calling for the bill’s defeat. “As organizations who represent and support the interests of America’s 21 million veterans, and in fulfillment of our mandate to ensure that the men and women who served are able to receive the health care and benefits they need and deserve, we are calling on Members of Congress to defeat the House vote on unacceptable choice funding legislation (S. 114, with amendments),” the statement read.
AMVETS, Disabled American Veterans , Military Officers Association of America, Military Order of the Purple Heart, Veterans of Foreign Wars, Vietnam Veterans of America, and Wounded Warrior Project all signed on to the statement. The chief complaint was that the legislation “includes funding only for the ‘choice’ program which provides additional community care options, but makes no investment in VA and uses ‘savings’ from other veterans benefits or services to ‘pay’ for the ‘choice’ program.”
The bill would have allocated $2 billion for the Veterans Choice Program, taken funding for veteran housing loan fees, and would reduce the pensions for some veterans living in nursing facilities that also could be paid for under the Medicaid program.
The fate of the bill and funding for the Veterans Choice Program remains unclear. Senate and House veterans committees seem to be far apart on how to fund the program and for efforts to make more substantive changes to the program. Although House Republicans eventually may be able to pass a bill without Democrats, in the Senate, they will need the support of at least a handful of Democrats to move the bill to the President’s desk.
A U.S. House of Representatives appropriation to fund the Veterans Choice Program surprisingly went down to defeat on Monday. The VA Choice Program is set to run out of money in September, and VA officials have been calling for Congress to provide additional funding for the program. Republican leaders, hoping to expedite the bill’s passage and thinking that it was not controversial, submitted the bill in a process that required the votes of two-thirds of the representatives. The 219-186 vote fell well short of the necessary two-thirds, and voting fell largely along party lines.
Many veterans service organizations (VSOs) were critical of the bill and called on the House to make substantial changes to it. Seven VSOs signed a joint statement calling for the bill’s defeat. “As organizations who represent and support the interests of America’s 21 million veterans, and in fulfillment of our mandate to ensure that the men and women who served are able to receive the health care and benefits they need and deserve, we are calling on Members of Congress to defeat the House vote on unacceptable choice funding legislation (S. 114, with amendments),” the statement read.
AMVETS, Disabled American Veterans , Military Officers Association of America, Military Order of the Purple Heart, Veterans of Foreign Wars, Vietnam Veterans of America, and Wounded Warrior Project all signed on to the statement. The chief complaint was that the legislation “includes funding only for the ‘choice’ program which provides additional community care options, but makes no investment in VA and uses ‘savings’ from other veterans benefits or services to ‘pay’ for the ‘choice’ program.”
The bill would have allocated $2 billion for the Veterans Choice Program, taken funding for veteran housing loan fees, and would reduce the pensions for some veterans living in nursing facilities that also could be paid for under the Medicaid program.
The fate of the bill and funding for the Veterans Choice Program remains unclear. Senate and House veterans committees seem to be far apart on how to fund the program and for efforts to make more substantive changes to the program. Although House Republicans eventually may be able to pass a bill without Democrats, in the Senate, they will need the support of at least a handful of Democrats to move the bill to the President’s desk.
Three Anomalies and a Complication: Ruptured Noncoronary Sinus of Valsalva Aneurysm, Atrial Septal Aneurysm, and Patent Foramen Ovale
A 53 year-old white male with a past medical history of hypertension, hyperlipidemia, and former tobacco use was referred to the Dayton VAMC in Ohio for symptoms that included shortness of breath and a recent abnormal stress test. The patient reported no history of known coronary artery disease (CAD), congestive heart failure, or other cardiovascular diseases. The patient also reported no recent fever, bacterial blood infection, syphilis infection, recreational drug use, or chest trauma.
A physical examination was remarkable for grade 3/6 continuous murmur at the 5th interspace to the left of the sternum and a loud “pistol shot” sound heard over the femoral artery. The patient had jugular venous distension and 2+ leg edema bilaterally. His vital signs were normal, and laboratory blood tests showed normal hemoglobin level and kidney function.
An electrocardiogram showed nonspecific ST segment changes and a transthoracic echocardiogram (TTE) revealed a high-velocity jet in the right atrium (RA) above the tricuspid valve concerning for sinus of Valsalva aneurysm (SVA).
Right heart catheterization revealed elevated RA pressures with positive shunt study showing oxygen saturation step-up in the RA (Figure 3). Left heart hemodynamic measurement from an aortic approach to the distal part of the noncoronary cusp SVA revealed an RA pressure-tracing pattern consistent with rupture of the noncoronary SVA into the RA (Figure 4).
The primary diagnosis was of acute heart failure secondary to ruptured aneurysm of the noncoronary SVA into RA. The patient also received a secondary diagnosis of atrial septal aneurysm and PFO.
Treatment & Outcome
The patient was treated with aggressive diuresis and responded well to therapy. Considering the high mortality rate associated with a ruptured SVA, the patient was referred to a tertiary care center for surgical evaluation. He underwent repair of aorto-right atrial communication with a Cormatrix patch (Roswell, GA) from the aortic side and with primary closure from the right atrial side with resection of the windsock tract; coronary artery bypass graft x1 with right internal mammary artery to the right coronary artery; closure of the PFO with the Cormatrix patch.
The postoperative TEE confirmed preserved LV and RV function, no shunts, no aortic or tricuspid insufficiency. Biopsy of the tissue resected showed intimal fibroplasia. A TTE completed 1 year after surgery showed normal valvular function and without any structural abnormalities. The patient had improvement in symptoms and an uneventful year after surgical intervention followed by 24 session of cardiac rehabilitation.
Discussion
Sinus of Valsalva aneurysm is a dilation of the aortic wall between the aortic valve and the sinotubular junction that is caused by the lack of continuity between the middle layer of the aortic wall and the aortic valve.1 Cases of SVA are rare cardiac anomalies with prevalence of 1% in patients undergoing open-heart surgery.2 Between 65% and 85% of SVA cases originate from the right coronary sinus, 10% to 20% from the noncoronary sinus, and < 5% from the left coronary sinus.3
Sinus of Valsalva aneurysm is usually congenital, although cases associated with syphilis, bacterial endocarditis, trauma, Behçet disease, and aortic dissection have been reported. Structural defects associated with congenital SVAs include ventricular septal defect, bicuspid aortic valve, and aortic regurgitation. It is less commonly associated with pulmonary stenosis, coarctation of the aorta, patent ductus arteriosus, tricuspid regurgitation, and atrial septal defects.
The most common complication of the SVA is rupture into another cardiac chamber, frequently the right ventricle (60%) or RA (29%) and less frequently into left atrium (6%), left ventricle (4%), or pericardium (1%).1 Patients with ruptured SVA mainly develop dyspnea and chest pain, but cough, fatigue, peripheral edema, and continuous murmur have been reported.1
Atrial septal aneurysm is an uncommon finding in adults, with an incidence of 2.2 % in the general population, and it is often associated with atrial septal defect and PFO.1,4 Although ASA formation can be secondary to interatrial differences in pressures, it can be a primary malformation involving the region of the fossa ovalis or the entire atrial septum.4 Atrial septal aneurysm may be an isolated anomaly, but often is found in association with other structural cardiac anomalies, including SVA and PFO.4,5
Conclusion
Although coexistence of SVA and ASA has been reported previously, the case reported here, a ruptured noncoronary SVA that was associated with a large ASA and a PFO, has not been previously documented in the English literature. This patient’s anomalies are most likely congenital in origin. Progressive dyspnea and chest pain in the presence of a continuous loud murmur should raise the suspicion of ruptured sinus of Valsalva. Although no significant aortic regurgitation was noted on echocardiography, the pistol shot sound heard over the femoral artery was believed to be due to the rapid diastolic runoff into the RA through the ruptured SVA.
The significant increase in the RA pressure made the ASA and PFO more prominent. A TEE, left and right heart catheterizations with shunt study are vital for the diagnosis of SVA. If left untreated, SVA has an ominous prognosis. Surgical repair of ruptured SVA has an accepted risk and good prognosis with 10-year survival rate of 90%, whereas the mean survival of untreated ruptured SVA is about 4 years.6,7 Hence, the patient in this study was referred to a tertiary care center for surgical intervention.
1. Galicia-Tornell MM, Marín-Solís B, Mercado-Astorga O, Espinoza-Anguiano S, Martínez-Martínez M, Villalpando-Mendoza E. Sinus of Valsalva aneurysm with rupture. Case report and literature review. Cir Cir. 2009;77(6):441-445.
2. Takach TJ, Reul GJ, Duncan JM, et al. Sinus of Valsalva aneurysm or fistula: management and outcome. Ann Thorac Surg. 1999;68(5):1573-1577.
3. Meier JH, Seward JB, Miller FA Jr, Oh JK, Enriquez-Sarano M. Aneurysms in the left ventricular outflow tract: clinical presentation, causes, and echocardiographic features. J Am Soc Echocardiogr. 1998;11(7):729-745.
4. Mügge A, Daniel WG, Angermann C et al. Atrial septal aneurysm in adult patients: a multicenter study using transthoracic and transesophageal echocardiography. Circulation. 1995;91(11):2785-2792.
5. Silver MD, Dorsey JS. Aneurysms of the septum primum in adults. Arch Pathol Lab Med. 1978;102(2):62-65.
6. Wang ZJ, Zou CW, Li DC, et al. Surgical repair of sinus of Valsalva aneurysm in Asian patients. Ann Thorac Surg. 2007;84(1):156-160.
7. Yan F, Huo Q, Qiao J, Murat V, Ma SF. Surgery for sinus of valsalva aneurysm: 27-year experience with 100 patients. Asian Cardiovasc Thorac Ann. 2008;16(5):361-365.
A 53 year-old white male with a past medical history of hypertension, hyperlipidemia, and former tobacco use was referred to the Dayton VAMC in Ohio for symptoms that included shortness of breath and a recent abnormal stress test. The patient reported no history of known coronary artery disease (CAD), congestive heart failure, or other cardiovascular diseases. The patient also reported no recent fever, bacterial blood infection, syphilis infection, recreational drug use, or chest trauma.
A physical examination was remarkable for grade 3/6 continuous murmur at the 5th interspace to the left of the sternum and a loud “pistol shot” sound heard over the femoral artery. The patient had jugular venous distension and 2+ leg edema bilaterally. His vital signs were normal, and laboratory blood tests showed normal hemoglobin level and kidney function.
An electrocardiogram showed nonspecific ST segment changes and a transthoracic echocardiogram (TTE) revealed a high-velocity jet in the right atrium (RA) above the tricuspid valve concerning for sinus of Valsalva aneurysm (SVA).
Right heart catheterization revealed elevated RA pressures with positive shunt study showing oxygen saturation step-up in the RA (Figure 3). Left heart hemodynamic measurement from an aortic approach to the distal part of the noncoronary cusp SVA revealed an RA pressure-tracing pattern consistent with rupture of the noncoronary SVA into the RA (Figure 4).
The primary diagnosis was of acute heart failure secondary to ruptured aneurysm of the noncoronary SVA into RA. The patient also received a secondary diagnosis of atrial septal aneurysm and PFO.
Treatment & Outcome
The patient was treated with aggressive diuresis and responded well to therapy. Considering the high mortality rate associated with a ruptured SVA, the patient was referred to a tertiary care center for surgical evaluation. He underwent repair of aorto-right atrial communication with a Cormatrix patch (Roswell, GA) from the aortic side and with primary closure from the right atrial side with resection of the windsock tract; coronary artery bypass graft x1 with right internal mammary artery to the right coronary artery; closure of the PFO with the Cormatrix patch.
The postoperative TEE confirmed preserved LV and RV function, no shunts, no aortic or tricuspid insufficiency. Biopsy of the tissue resected showed intimal fibroplasia. A TTE completed 1 year after surgery showed normal valvular function and without any structural abnormalities. The patient had improvement in symptoms and an uneventful year after surgical intervention followed by 24 session of cardiac rehabilitation.
Discussion
Sinus of Valsalva aneurysm is a dilation of the aortic wall between the aortic valve and the sinotubular junction that is caused by the lack of continuity between the middle layer of the aortic wall and the aortic valve.1 Cases of SVA are rare cardiac anomalies with prevalence of 1% in patients undergoing open-heart surgery.2 Between 65% and 85% of SVA cases originate from the right coronary sinus, 10% to 20% from the noncoronary sinus, and < 5% from the left coronary sinus.3
Sinus of Valsalva aneurysm is usually congenital, although cases associated with syphilis, bacterial endocarditis, trauma, Behçet disease, and aortic dissection have been reported. Structural defects associated with congenital SVAs include ventricular septal defect, bicuspid aortic valve, and aortic regurgitation. It is less commonly associated with pulmonary stenosis, coarctation of the aorta, patent ductus arteriosus, tricuspid regurgitation, and atrial septal defects.
The most common complication of the SVA is rupture into another cardiac chamber, frequently the right ventricle (60%) or RA (29%) and less frequently into left atrium (6%), left ventricle (4%), or pericardium (1%).1 Patients with ruptured SVA mainly develop dyspnea and chest pain, but cough, fatigue, peripheral edema, and continuous murmur have been reported.1
Atrial septal aneurysm is an uncommon finding in adults, with an incidence of 2.2 % in the general population, and it is often associated with atrial septal defect and PFO.1,4 Although ASA formation can be secondary to interatrial differences in pressures, it can be a primary malformation involving the region of the fossa ovalis or the entire atrial septum.4 Atrial septal aneurysm may be an isolated anomaly, but often is found in association with other structural cardiac anomalies, including SVA and PFO.4,5
Conclusion
Although coexistence of SVA and ASA has been reported previously, the case reported here, a ruptured noncoronary SVA that was associated with a large ASA and a PFO, has not been previously documented in the English literature. This patient’s anomalies are most likely congenital in origin. Progressive dyspnea and chest pain in the presence of a continuous loud murmur should raise the suspicion of ruptured sinus of Valsalva. Although no significant aortic regurgitation was noted on echocardiography, the pistol shot sound heard over the femoral artery was believed to be due to the rapid diastolic runoff into the RA through the ruptured SVA.
The significant increase in the RA pressure made the ASA and PFO more prominent. A TEE, left and right heart catheterizations with shunt study are vital for the diagnosis of SVA. If left untreated, SVA has an ominous prognosis. Surgical repair of ruptured SVA has an accepted risk and good prognosis with 10-year survival rate of 90%, whereas the mean survival of untreated ruptured SVA is about 4 years.6,7 Hence, the patient in this study was referred to a tertiary care center for surgical intervention.
A 53 year-old white male with a past medical history of hypertension, hyperlipidemia, and former tobacco use was referred to the Dayton VAMC in Ohio for symptoms that included shortness of breath and a recent abnormal stress test. The patient reported no history of known coronary artery disease (CAD), congestive heart failure, or other cardiovascular diseases. The patient also reported no recent fever, bacterial blood infection, syphilis infection, recreational drug use, or chest trauma.
A physical examination was remarkable for grade 3/6 continuous murmur at the 5th interspace to the left of the sternum and a loud “pistol shot” sound heard over the femoral artery. The patient had jugular venous distension and 2+ leg edema bilaterally. His vital signs were normal, and laboratory blood tests showed normal hemoglobin level and kidney function.
An electrocardiogram showed nonspecific ST segment changes and a transthoracic echocardiogram (TTE) revealed a high-velocity jet in the right atrium (RA) above the tricuspid valve concerning for sinus of Valsalva aneurysm (SVA).
Right heart catheterization revealed elevated RA pressures with positive shunt study showing oxygen saturation step-up in the RA (Figure 3). Left heart hemodynamic measurement from an aortic approach to the distal part of the noncoronary cusp SVA revealed an RA pressure-tracing pattern consistent with rupture of the noncoronary SVA into the RA (Figure 4).
The primary diagnosis was of acute heart failure secondary to ruptured aneurysm of the noncoronary SVA into RA. The patient also received a secondary diagnosis of atrial septal aneurysm and PFO.
Treatment & Outcome
The patient was treated with aggressive diuresis and responded well to therapy. Considering the high mortality rate associated with a ruptured SVA, the patient was referred to a tertiary care center for surgical evaluation. He underwent repair of aorto-right atrial communication with a Cormatrix patch (Roswell, GA) from the aortic side and with primary closure from the right atrial side with resection of the windsock tract; coronary artery bypass graft x1 with right internal mammary artery to the right coronary artery; closure of the PFO with the Cormatrix patch.
The postoperative TEE confirmed preserved LV and RV function, no shunts, no aortic or tricuspid insufficiency. Biopsy of the tissue resected showed intimal fibroplasia. A TTE completed 1 year after surgery showed normal valvular function and without any structural abnormalities. The patient had improvement in symptoms and an uneventful year after surgical intervention followed by 24 session of cardiac rehabilitation.
Discussion
Sinus of Valsalva aneurysm is a dilation of the aortic wall between the aortic valve and the sinotubular junction that is caused by the lack of continuity between the middle layer of the aortic wall and the aortic valve.1 Cases of SVA are rare cardiac anomalies with prevalence of 1% in patients undergoing open-heart surgery.2 Between 65% and 85% of SVA cases originate from the right coronary sinus, 10% to 20% from the noncoronary sinus, and < 5% from the left coronary sinus.3
Sinus of Valsalva aneurysm is usually congenital, although cases associated with syphilis, bacterial endocarditis, trauma, Behçet disease, and aortic dissection have been reported. Structural defects associated with congenital SVAs include ventricular septal defect, bicuspid aortic valve, and aortic regurgitation. It is less commonly associated with pulmonary stenosis, coarctation of the aorta, patent ductus arteriosus, tricuspid regurgitation, and atrial septal defects.
The most common complication of the SVA is rupture into another cardiac chamber, frequently the right ventricle (60%) or RA (29%) and less frequently into left atrium (6%), left ventricle (4%), or pericardium (1%).1 Patients with ruptured SVA mainly develop dyspnea and chest pain, but cough, fatigue, peripheral edema, and continuous murmur have been reported.1
Atrial septal aneurysm is an uncommon finding in adults, with an incidence of 2.2 % in the general population, and it is often associated with atrial septal defect and PFO.1,4 Although ASA formation can be secondary to interatrial differences in pressures, it can be a primary malformation involving the region of the fossa ovalis or the entire atrial septum.4 Atrial septal aneurysm may be an isolated anomaly, but often is found in association with other structural cardiac anomalies, including SVA and PFO.4,5
Conclusion
Although coexistence of SVA and ASA has been reported previously, the case reported here, a ruptured noncoronary SVA that was associated with a large ASA and a PFO, has not been previously documented in the English literature. This patient’s anomalies are most likely congenital in origin. Progressive dyspnea and chest pain in the presence of a continuous loud murmur should raise the suspicion of ruptured sinus of Valsalva. Although no significant aortic regurgitation was noted on echocardiography, the pistol shot sound heard over the femoral artery was believed to be due to the rapid diastolic runoff into the RA through the ruptured SVA.
The significant increase in the RA pressure made the ASA and PFO more prominent. A TEE, left and right heart catheterizations with shunt study are vital for the diagnosis of SVA. If left untreated, SVA has an ominous prognosis. Surgical repair of ruptured SVA has an accepted risk and good prognosis with 10-year survival rate of 90%, whereas the mean survival of untreated ruptured SVA is about 4 years.6,7 Hence, the patient in this study was referred to a tertiary care center for surgical intervention.
1. Galicia-Tornell MM, Marín-Solís B, Mercado-Astorga O, Espinoza-Anguiano S, Martínez-Martínez M, Villalpando-Mendoza E. Sinus of Valsalva aneurysm with rupture. Case report and literature review. Cir Cir. 2009;77(6):441-445.
2. Takach TJ, Reul GJ, Duncan JM, et al. Sinus of Valsalva aneurysm or fistula: management and outcome. Ann Thorac Surg. 1999;68(5):1573-1577.
3. Meier JH, Seward JB, Miller FA Jr, Oh JK, Enriquez-Sarano M. Aneurysms in the left ventricular outflow tract: clinical presentation, causes, and echocardiographic features. J Am Soc Echocardiogr. 1998;11(7):729-745.
4. Mügge A, Daniel WG, Angermann C et al. Atrial septal aneurysm in adult patients: a multicenter study using transthoracic and transesophageal echocardiography. Circulation. 1995;91(11):2785-2792.
5. Silver MD, Dorsey JS. Aneurysms of the septum primum in adults. Arch Pathol Lab Med. 1978;102(2):62-65.
6. Wang ZJ, Zou CW, Li DC, et al. Surgical repair of sinus of Valsalva aneurysm in Asian patients. Ann Thorac Surg. 2007;84(1):156-160.
7. Yan F, Huo Q, Qiao J, Murat V, Ma SF. Surgery for sinus of valsalva aneurysm: 27-year experience with 100 patients. Asian Cardiovasc Thorac Ann. 2008;16(5):361-365.
1. Galicia-Tornell MM, Marín-Solís B, Mercado-Astorga O, Espinoza-Anguiano S, Martínez-Martínez M, Villalpando-Mendoza E. Sinus of Valsalva aneurysm with rupture. Case report and literature review. Cir Cir. 2009;77(6):441-445.
2. Takach TJ, Reul GJ, Duncan JM, et al. Sinus of Valsalva aneurysm or fistula: management and outcome. Ann Thorac Surg. 1999;68(5):1573-1577.
3. Meier JH, Seward JB, Miller FA Jr, Oh JK, Enriquez-Sarano M. Aneurysms in the left ventricular outflow tract: clinical presentation, causes, and echocardiographic features. J Am Soc Echocardiogr. 1998;11(7):729-745.
4. Mügge A, Daniel WG, Angermann C et al. Atrial septal aneurysm in adult patients: a multicenter study using transthoracic and transesophageal echocardiography. Circulation. 1995;91(11):2785-2792.
5. Silver MD, Dorsey JS. Aneurysms of the septum primum in adults. Arch Pathol Lab Med. 1978;102(2):62-65.
6. Wang ZJ, Zou CW, Li DC, et al. Surgical repair of sinus of Valsalva aneurysm in Asian patients. Ann Thorac Surg. 2007;84(1):156-160.
7. Yan F, Huo Q, Qiao J, Murat V, Ma SF. Surgery for sinus of valsalva aneurysm: 27-year experience with 100 patients. Asian Cardiovasc Thorac Ann. 2008;16(5):361-365.
PET and CPT Show Promise in Veteran PTSD Treatment
Posttraumatic stress disorder (PTSD) guidelines increasingly are recommending prolonged exposure therapy (PET) and cognitive processing therapy (CPT) as first-line treatments, including the 2023 US Department of Veterans Affairs (VA) and US Department of Defense clinical practice guideline.
Since 2006, > 6000 VA therapists have been trained in PET and CPT; the VA requires all veterans to have access to these treatments. However, despite strong clinical trial evidence supporting PET and CPT for the treatment of PTSD, a 2023 study found that only 11.6% of veterans who received a PTSD diagnosis between 2017 and 2019 initiated Trauma-Focused Evidence-Based Psychotherapy (TF-EBP) in their first year of treatment. Of those who initiated TF-EBP, 67% dropped out. Recent VA programs have attempted to expand the reach of PET with video telehealth to reach rural and remote veterans through virtual group programs.
Recent research has suggested ways to maximize the effectiveness of the programs and assist veterans in receiving the full benefits. Studies have found that swapping traditional longer-term treatments (usually spanning 8 to 15 weeks) for intensified, shorter versions (eg, 6 sessions) may enhance engagement and retention.
Intensive PET for PTSD is safe and highly effective. A study involving patients with chronic PTSD and complex trauma showed significant reductions in PTSD symptom severity, with large effect sizes and sustained improvements at 3 and 6 months. Multiple 90-minute sessions over consecutive days, supplemented with in vivo exposure or followed by weekly booster sessions, were found to minimize treatment disruptions.
PET is among the most extensively studied treatments for PTSD and is supported by dozens of clinical trials involving thousands of patients. The intervention was originally developed and validated in civilian samples and includes psychoeducation, relaxation through breathing retraining, and in vivo and imaginal exposure to traumatic memories.
A recent study compared treatment outcomes among military veterans and civilian patients receiving treatment in a community setting. Although some studies have compared PET outcomes for military veterans and civilian participants in community settings, none have directly compared outcomes across trauma type (combat, terror, or civilian trauma) and veteran status (military vs civilian) within the same framework. The study notes that combat-related trauma significantly differs from other forms of trauma exposure, as it is typically more prolonged and severe and therefore is more often resistant to treatment. Military personnel also often find themselves both victims and aggressors, a duality that can intensify guilt, shame, anger, disgust, and emotional reactions to moral injury, complicating treatment.
The study assessed the effects of 8 to 15 PET sessions on PTSD symptoms in 55 civilians and 43 veterans using the PTSD Symptom Scale–Interview Version (PSS-I). Participants showed significant symptom reductions across all trauma types and veteran statuses.
Although veterans and participants in the combat trauma subgroup showed higher levels of baseline symptom severity compared with civilians, all groups experienced similar symptom reductions. These findings differ from some meta-analyses, which have found that PET often produces smaller effect sizes in combat-related PTSD compared to civilian trauma samples.
The study compared treatment outcomes across different groups within the same treatment centers and under consistent supervision. The PET intervention was delivered in community mental health centers to all patients regardless of background. Only 2 prior studies have compared civilian and military veterans within the same locations.
Although the “traditional” number of PET sessions produce evidence-based outcomes, high dropout rates and relapses have catalyzed interest in approaches that boost the power of therapy, such as delivering PET in ever-shorter sequences.
A study in a Swedish psychiatric outpatient clinic compared the effect of an 8-day intensified treatment program with traditionally spaced treatments on 101 participants with PTSD or complex PTSD. The study reported a significant reduction in PTSD symptoms at posttreatment, with large effect sizes in both conditions. Moreover, symptom reduction was maintained at follow-up. Dropout rates were significantly different between treatment groups: 4.3% in the intensified treatment program and 24.1% in the traditional group.
Another study used VA administrative data to assess the impact of sequenced psychotherapy (≥ 8 sessions of not trauma-focused individual or group psychotherapy delivered before trauma-focused care) on initiation and retention in CPT and PET over 2 years. Roughly 13% of 490,097 veterans who entered care for PTSD between 2014 and 2020 initiated VA-disseminated evidence-based treatment within 21 months (9.5% CPT, 3.4% PE). Among those who initiated treatment, retention was 46% and 42%, respectively. Individual therapy was associated with increased CPT and PET retention of 8.0% and 8.2%. For group therapy, retention increases were 3.4% and 8.7%.
Another recent study examined the RESET (Reconsolidation, Exposure, and Short-term Emotional Transformation) clinical protocol, an intensive, structured trauma-focused intervention designed to treat PTSD within 6 daily sessions. The protocol includes psychoeducation, targeted exposure, dynamic case formulation, and guided trauma processing. This novel framework ensures therapy moves beyond symptom reduction, fostering a deep understanding of the patient’s core struggles and their broader psychological patterns, and integrates it with the reconsolidation of the index trauma narrative to form a more cohesive sense of self.”
Clinical studies are ongoing to refine and enhance PET and CPT. They may serve to make therapy more useful and effective in easing—maybe erasing—veterans’ traumatic memories.
Posttraumatic stress disorder (PTSD) guidelines increasingly are recommending prolonged exposure therapy (PET) and cognitive processing therapy (CPT) as first-line treatments, including the 2023 US Department of Veterans Affairs (VA) and US Department of Defense clinical practice guideline.
Since 2006, > 6000 VA therapists have been trained in PET and CPT; the VA requires all veterans to have access to these treatments. However, despite strong clinical trial evidence supporting PET and CPT for the treatment of PTSD, a 2023 study found that only 11.6% of veterans who received a PTSD diagnosis between 2017 and 2019 initiated Trauma-Focused Evidence-Based Psychotherapy (TF-EBP) in their first year of treatment. Of those who initiated TF-EBP, 67% dropped out. Recent VA programs have attempted to expand the reach of PET with video telehealth to reach rural and remote veterans through virtual group programs.
Recent research has suggested ways to maximize the effectiveness of the programs and assist veterans in receiving the full benefits. Studies have found that swapping traditional longer-term treatments (usually spanning 8 to 15 weeks) for intensified, shorter versions (eg, 6 sessions) may enhance engagement and retention.
Intensive PET for PTSD is safe and highly effective. A study involving patients with chronic PTSD and complex trauma showed significant reductions in PTSD symptom severity, with large effect sizes and sustained improvements at 3 and 6 months. Multiple 90-minute sessions over consecutive days, supplemented with in vivo exposure or followed by weekly booster sessions, were found to minimize treatment disruptions.
PET is among the most extensively studied treatments for PTSD and is supported by dozens of clinical trials involving thousands of patients. The intervention was originally developed and validated in civilian samples and includes psychoeducation, relaxation through breathing retraining, and in vivo and imaginal exposure to traumatic memories.
A recent study compared treatment outcomes among military veterans and civilian patients receiving treatment in a community setting. Although some studies have compared PET outcomes for military veterans and civilian participants in community settings, none have directly compared outcomes across trauma type (combat, terror, or civilian trauma) and veteran status (military vs civilian) within the same framework. The study notes that combat-related trauma significantly differs from other forms of trauma exposure, as it is typically more prolonged and severe and therefore is more often resistant to treatment. Military personnel also often find themselves both victims and aggressors, a duality that can intensify guilt, shame, anger, disgust, and emotional reactions to moral injury, complicating treatment.
The study assessed the effects of 8 to 15 PET sessions on PTSD symptoms in 55 civilians and 43 veterans using the PTSD Symptom Scale–Interview Version (PSS-I). Participants showed significant symptom reductions across all trauma types and veteran statuses.
Although veterans and participants in the combat trauma subgroup showed higher levels of baseline symptom severity compared with civilians, all groups experienced similar symptom reductions. These findings differ from some meta-analyses, which have found that PET often produces smaller effect sizes in combat-related PTSD compared to civilian trauma samples.
The study compared treatment outcomes across different groups within the same treatment centers and under consistent supervision. The PET intervention was delivered in community mental health centers to all patients regardless of background. Only 2 prior studies have compared civilian and military veterans within the same locations.
Although the “traditional” number of PET sessions produce evidence-based outcomes, high dropout rates and relapses have catalyzed interest in approaches that boost the power of therapy, such as delivering PET in ever-shorter sequences.
A study in a Swedish psychiatric outpatient clinic compared the effect of an 8-day intensified treatment program with traditionally spaced treatments on 101 participants with PTSD or complex PTSD. The study reported a significant reduction in PTSD symptoms at posttreatment, with large effect sizes in both conditions. Moreover, symptom reduction was maintained at follow-up. Dropout rates were significantly different between treatment groups: 4.3% in the intensified treatment program and 24.1% in the traditional group.
Another study used VA administrative data to assess the impact of sequenced psychotherapy (≥ 8 sessions of not trauma-focused individual or group psychotherapy delivered before trauma-focused care) on initiation and retention in CPT and PET over 2 years. Roughly 13% of 490,097 veterans who entered care for PTSD between 2014 and 2020 initiated VA-disseminated evidence-based treatment within 21 months (9.5% CPT, 3.4% PE). Among those who initiated treatment, retention was 46% and 42%, respectively. Individual therapy was associated with increased CPT and PET retention of 8.0% and 8.2%. For group therapy, retention increases were 3.4% and 8.7%.
Another recent study examined the RESET (Reconsolidation, Exposure, and Short-term Emotional Transformation) clinical protocol, an intensive, structured trauma-focused intervention designed to treat PTSD within 6 daily sessions. The protocol includes psychoeducation, targeted exposure, dynamic case formulation, and guided trauma processing. This novel framework ensures therapy moves beyond symptom reduction, fostering a deep understanding of the patient’s core struggles and their broader psychological patterns, and integrates it with the reconsolidation of the index trauma narrative to form a more cohesive sense of self.”
Clinical studies are ongoing to refine and enhance PET and CPT. They may serve to make therapy more useful and effective in easing—maybe erasing—veterans’ traumatic memories.
Posttraumatic stress disorder (PTSD) guidelines increasingly are recommending prolonged exposure therapy (PET) and cognitive processing therapy (CPT) as first-line treatments, including the 2023 US Department of Veterans Affairs (VA) and US Department of Defense clinical practice guideline.
Since 2006, > 6000 VA therapists have been trained in PET and CPT; the VA requires all veterans to have access to these treatments. However, despite strong clinical trial evidence supporting PET and CPT for the treatment of PTSD, a 2023 study found that only 11.6% of veterans who received a PTSD diagnosis between 2017 and 2019 initiated Trauma-Focused Evidence-Based Psychotherapy (TF-EBP) in their first year of treatment. Of those who initiated TF-EBP, 67% dropped out. Recent VA programs have attempted to expand the reach of PET with video telehealth to reach rural and remote veterans through virtual group programs.
Recent research has suggested ways to maximize the effectiveness of the programs and assist veterans in receiving the full benefits. Studies have found that swapping traditional longer-term treatments (usually spanning 8 to 15 weeks) for intensified, shorter versions (eg, 6 sessions) may enhance engagement and retention.
Intensive PET for PTSD is safe and highly effective. A study involving patients with chronic PTSD and complex trauma showed significant reductions in PTSD symptom severity, with large effect sizes and sustained improvements at 3 and 6 months. Multiple 90-minute sessions over consecutive days, supplemented with in vivo exposure or followed by weekly booster sessions, were found to minimize treatment disruptions.
PET is among the most extensively studied treatments for PTSD and is supported by dozens of clinical trials involving thousands of patients. The intervention was originally developed and validated in civilian samples and includes psychoeducation, relaxation through breathing retraining, and in vivo and imaginal exposure to traumatic memories.
A recent study compared treatment outcomes among military veterans and civilian patients receiving treatment in a community setting. Although some studies have compared PET outcomes for military veterans and civilian participants in community settings, none have directly compared outcomes across trauma type (combat, terror, or civilian trauma) and veteran status (military vs civilian) within the same framework. The study notes that combat-related trauma significantly differs from other forms of trauma exposure, as it is typically more prolonged and severe and therefore is more often resistant to treatment. Military personnel also often find themselves both victims and aggressors, a duality that can intensify guilt, shame, anger, disgust, and emotional reactions to moral injury, complicating treatment.
The study assessed the effects of 8 to 15 PET sessions on PTSD symptoms in 55 civilians and 43 veterans using the PTSD Symptom Scale–Interview Version (PSS-I). Participants showed significant symptom reductions across all trauma types and veteran statuses.
Although veterans and participants in the combat trauma subgroup showed higher levels of baseline symptom severity compared with civilians, all groups experienced similar symptom reductions. These findings differ from some meta-analyses, which have found that PET often produces smaller effect sizes in combat-related PTSD compared to civilian trauma samples.
The study compared treatment outcomes across different groups within the same treatment centers and under consistent supervision. The PET intervention was delivered in community mental health centers to all patients regardless of background. Only 2 prior studies have compared civilian and military veterans within the same locations.
Although the “traditional” number of PET sessions produce evidence-based outcomes, high dropout rates and relapses have catalyzed interest in approaches that boost the power of therapy, such as delivering PET in ever-shorter sequences.
A study in a Swedish psychiatric outpatient clinic compared the effect of an 8-day intensified treatment program with traditionally spaced treatments on 101 participants with PTSD or complex PTSD. The study reported a significant reduction in PTSD symptoms at posttreatment, with large effect sizes in both conditions. Moreover, symptom reduction was maintained at follow-up. Dropout rates were significantly different between treatment groups: 4.3% in the intensified treatment program and 24.1% in the traditional group.
Another study used VA administrative data to assess the impact of sequenced psychotherapy (≥ 8 sessions of not trauma-focused individual or group psychotherapy delivered before trauma-focused care) on initiation and retention in CPT and PET over 2 years. Roughly 13% of 490,097 veterans who entered care for PTSD between 2014 and 2020 initiated VA-disseminated evidence-based treatment within 21 months (9.5% CPT, 3.4% PE). Among those who initiated treatment, retention was 46% and 42%, respectively. Individual therapy was associated with increased CPT and PET retention of 8.0% and 8.2%. For group therapy, retention increases were 3.4% and 8.7%.
Another recent study examined the RESET (Reconsolidation, Exposure, and Short-term Emotional Transformation) clinical protocol, an intensive, structured trauma-focused intervention designed to treat PTSD within 6 daily sessions. The protocol includes psychoeducation, targeted exposure, dynamic case formulation, and guided trauma processing. This novel framework ensures therapy moves beyond symptom reduction, fostering a deep understanding of the patient’s core struggles and their broader psychological patterns, and integrates it with the reconsolidation of the index trauma narrative to form a more cohesive sense of self.”
Clinical studies are ongoing to refine and enhance PET and CPT. They may serve to make therapy more useful and effective in easing—maybe erasing—veterans’ traumatic memories.
Moral Injury-informed Interventions May Enhance Treatment for Combat Veterans
“Moral and mortal stressors may be intertwined in their contribution to the complex symptomatic outcomes” of combat exposure according to a recent study in the European Journal of Psychotraumatology. The study examined the effect moral injury has on Israel Defense Forces (IDF) combat veterans. The resulting trauma may be consolidated in a single category, such as posttraumatic stress disorder (PTSD), but stressors leading to that diagnosis may have been quite different. Properly defining the stressors to assist in better targeted treatment is a challenge.
Moral injury is the emotional distress of being involved in or witnessing actions that conflict with deeply held beliefs. Such experiences could be committing or failing to prevent a transgressive act or learning about or surviving a transgressive act.
The study defines moral injury outcomes as the psychological and emotional consequences that result from exposure to potentially morally injurious events (PMIEs): “This terminology is intended to distinguish the outcomes of moral injury from the broader and sometimes ambiguous use of ‘moral injury’ in the literature, which can refer to either the event, the experience, or the resulting symptoms.”
The study followed 374 male combat veterans for 5 years. Veterans served in the Israel Defense Forces (IDF) in 4 primary combat roles: infantry, armored corps, special forces, and combat engineering. Psychological characteristics were measured 12 months prior to enlistment. PMIE exposure was measured during the final month of military service using the Moral Injury Events Scale. Moral injury outcomes were assessed 6 months postdischarge using the Expressions of Moral Injury Scale-Military Version-Short Form. Posttraumatic stress symptom (PTSS) clusters were evaluated 1 year postdischarge using the PTSD Checklist for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.
Nearly half (49%) of participants reported exposure to PMIEs, while 8% met criteria for probable PTSD. The researchers say elevated PMIE rates observed in their sample may be attributed, in part, to participants’ extended deployments in densely populated urban areas, carrying out operations in close proximity to civilians, where it is difficult to distinguish between combatants and noncombatants. PTSD rates were somewhat lower than those reported in US studies (10% to 30%) among veterans; this may be attributed to the cohort not being engaged in a full-scale war, but deployed mostly in peacekeeping missions.
Longitudinal studies have described the effects of wartime atrocities on PTSD symptom severity. Studies have also linked moral injury outcomes and PTSS clusters (including negative alterations in cognition and mood [NACM]), depression, anxiety, and substance abuse. PMIEs can also include perceptions of betrayal from leaders, colleagues, or trusted others. The study of 374 male combat veterans found a direct effect of PMIE-betrayal on arousal and reactivity as well as NACM clusters. Results also showed indirect associations between exposure to all PMIE dimensions and PTSS clusters via moral injury outcomes. Combat exposure and experiencing PMIEs during military service significantly contributed to the emergence of PTSS during the first year after discharge. The study found 2 distinct paths PMIEs may lead to PTSS among veterans: experiencing acts of transgression and encountering betrayal.
Betrayal has been linked to feelings of anger and humiliation, emotions thought to have evolved to trigger adaptive behavioral responses, such as aggression and revenge, to threats or transgressions by others. PMIE-betrayal also demonstrated direct effects on the arousal and reactivity and NACM symptom clusters, suggesting partial mediation. Another study (also on IDF veterans) found significant positive correlations between PMIE-betrayal and the NACM cluster, suggesting PMIE-betrayal as a link between PTSD and moral injury. While the link between betrayal and NACM is readily apparent, its connection to arousal and reactivity, a fear-based physiological symptom, is less evident.
The findings of the study point to the need for assessment tools that separately measure exposure to PMIEs and individual reactions to them. A recent Federal Practitioner study of 100 veterans with a history of incarceration completed the Moral Injury Events Scale and an adapted version for legal-involved persons (MIES-LIP). The authors found that MIES-LIP demonstrated strong psychometric properties, including good reliability and convergent validity for legal-related moral injury.
The study cites a recent review of cognitive-behavioral psychotherapies for individuals experiencing moral injury that challenges the adequacy of existing evidence-based treatments for PTSD for addressing moral injury and its associated symptoms. It is important to evaluate individuals who express feelings of betrayal with tailored, evidence-based interventions such as adaptive disclosure or cognitive-processing therapy. Acceptance and commitment therapy may also help individuals experiencing emotions such as shame, humiliation, guilt, and anger following morally injurious events.
Newer therapy models like Multi-Modal Motion-Assisted Memory Desensitization and Reconsolidation allow clinicians to use personalized trauma cues to facilitate memory processing, reduce avoidance, and aid in emotional reconsolidation. Clinical research has demonstrated this model’s efficacy in reducing PTSD symptoms, depression, and anxiety, with high acceptability and low dropout rates among military personnel, veterans, and first responders.
Regardless of the treatment, the researchers encourage mental health professionals to approach veterans seeking help with the “utmost sensitivity and attentiveness to any expressions of (moral injury) outcomes.”
“Moral and mortal stressors may be intertwined in their contribution to the complex symptomatic outcomes” of combat exposure according to a recent study in the European Journal of Psychotraumatology. The study examined the effect moral injury has on Israel Defense Forces (IDF) combat veterans. The resulting trauma may be consolidated in a single category, such as posttraumatic stress disorder (PTSD), but stressors leading to that diagnosis may have been quite different. Properly defining the stressors to assist in better targeted treatment is a challenge.
Moral injury is the emotional distress of being involved in or witnessing actions that conflict with deeply held beliefs. Such experiences could be committing or failing to prevent a transgressive act or learning about or surviving a transgressive act.
The study defines moral injury outcomes as the psychological and emotional consequences that result from exposure to potentially morally injurious events (PMIEs): “This terminology is intended to distinguish the outcomes of moral injury from the broader and sometimes ambiguous use of ‘moral injury’ in the literature, which can refer to either the event, the experience, or the resulting symptoms.”
The study followed 374 male combat veterans for 5 years. Veterans served in the Israel Defense Forces (IDF) in 4 primary combat roles: infantry, armored corps, special forces, and combat engineering. Psychological characteristics were measured 12 months prior to enlistment. PMIE exposure was measured during the final month of military service using the Moral Injury Events Scale. Moral injury outcomes were assessed 6 months postdischarge using the Expressions of Moral Injury Scale-Military Version-Short Form. Posttraumatic stress symptom (PTSS) clusters were evaluated 1 year postdischarge using the PTSD Checklist for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.
Nearly half (49%) of participants reported exposure to PMIEs, while 8% met criteria for probable PTSD. The researchers say elevated PMIE rates observed in their sample may be attributed, in part, to participants’ extended deployments in densely populated urban areas, carrying out operations in close proximity to civilians, where it is difficult to distinguish between combatants and noncombatants. PTSD rates were somewhat lower than those reported in US studies (10% to 30%) among veterans; this may be attributed to the cohort not being engaged in a full-scale war, but deployed mostly in peacekeeping missions.
Longitudinal studies have described the effects of wartime atrocities on PTSD symptom severity. Studies have also linked moral injury outcomes and PTSS clusters (including negative alterations in cognition and mood [NACM]), depression, anxiety, and substance abuse. PMIEs can also include perceptions of betrayal from leaders, colleagues, or trusted others. The study of 374 male combat veterans found a direct effect of PMIE-betrayal on arousal and reactivity as well as NACM clusters. Results also showed indirect associations between exposure to all PMIE dimensions and PTSS clusters via moral injury outcomes. Combat exposure and experiencing PMIEs during military service significantly contributed to the emergence of PTSS during the first year after discharge. The study found 2 distinct paths PMIEs may lead to PTSS among veterans: experiencing acts of transgression and encountering betrayal.
Betrayal has been linked to feelings of anger and humiliation, emotions thought to have evolved to trigger adaptive behavioral responses, such as aggression and revenge, to threats or transgressions by others. PMIE-betrayal also demonstrated direct effects on the arousal and reactivity and NACM symptom clusters, suggesting partial mediation. Another study (also on IDF veterans) found significant positive correlations between PMIE-betrayal and the NACM cluster, suggesting PMIE-betrayal as a link between PTSD and moral injury. While the link between betrayal and NACM is readily apparent, its connection to arousal and reactivity, a fear-based physiological symptom, is less evident.
The findings of the study point to the need for assessment tools that separately measure exposure to PMIEs and individual reactions to them. A recent Federal Practitioner study of 100 veterans with a history of incarceration completed the Moral Injury Events Scale and an adapted version for legal-involved persons (MIES-LIP). The authors found that MIES-LIP demonstrated strong psychometric properties, including good reliability and convergent validity for legal-related moral injury.
The study cites a recent review of cognitive-behavioral psychotherapies for individuals experiencing moral injury that challenges the adequacy of existing evidence-based treatments for PTSD for addressing moral injury and its associated symptoms. It is important to evaluate individuals who express feelings of betrayal with tailored, evidence-based interventions such as adaptive disclosure or cognitive-processing therapy. Acceptance and commitment therapy may also help individuals experiencing emotions such as shame, humiliation, guilt, and anger following morally injurious events.
Newer therapy models like Multi-Modal Motion-Assisted Memory Desensitization and Reconsolidation allow clinicians to use personalized trauma cues to facilitate memory processing, reduce avoidance, and aid in emotional reconsolidation. Clinical research has demonstrated this model’s efficacy in reducing PTSD symptoms, depression, and anxiety, with high acceptability and low dropout rates among military personnel, veterans, and first responders.
Regardless of the treatment, the researchers encourage mental health professionals to approach veterans seeking help with the “utmost sensitivity and attentiveness to any expressions of (moral injury) outcomes.”
“Moral and mortal stressors may be intertwined in their contribution to the complex symptomatic outcomes” of combat exposure according to a recent study in the European Journal of Psychotraumatology. The study examined the effect moral injury has on Israel Defense Forces (IDF) combat veterans. The resulting trauma may be consolidated in a single category, such as posttraumatic stress disorder (PTSD), but stressors leading to that diagnosis may have been quite different. Properly defining the stressors to assist in better targeted treatment is a challenge.
Moral injury is the emotional distress of being involved in or witnessing actions that conflict with deeply held beliefs. Such experiences could be committing or failing to prevent a transgressive act or learning about or surviving a transgressive act.
The study defines moral injury outcomes as the psychological and emotional consequences that result from exposure to potentially morally injurious events (PMIEs): “This terminology is intended to distinguish the outcomes of moral injury from the broader and sometimes ambiguous use of ‘moral injury’ in the literature, which can refer to either the event, the experience, or the resulting symptoms.”
The study followed 374 male combat veterans for 5 years. Veterans served in the Israel Defense Forces (IDF) in 4 primary combat roles: infantry, armored corps, special forces, and combat engineering. Psychological characteristics were measured 12 months prior to enlistment. PMIE exposure was measured during the final month of military service using the Moral Injury Events Scale. Moral injury outcomes were assessed 6 months postdischarge using the Expressions of Moral Injury Scale-Military Version-Short Form. Posttraumatic stress symptom (PTSS) clusters were evaluated 1 year postdischarge using the PTSD Checklist for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.
Nearly half (49%) of participants reported exposure to PMIEs, while 8% met criteria for probable PTSD. The researchers say elevated PMIE rates observed in their sample may be attributed, in part, to participants’ extended deployments in densely populated urban areas, carrying out operations in close proximity to civilians, where it is difficult to distinguish between combatants and noncombatants. PTSD rates were somewhat lower than those reported in US studies (10% to 30%) among veterans; this may be attributed to the cohort not being engaged in a full-scale war, but deployed mostly in peacekeeping missions.
Longitudinal studies have described the effects of wartime atrocities on PTSD symptom severity. Studies have also linked moral injury outcomes and PTSS clusters (including negative alterations in cognition and mood [NACM]), depression, anxiety, and substance abuse. PMIEs can also include perceptions of betrayal from leaders, colleagues, or trusted others. The study of 374 male combat veterans found a direct effect of PMIE-betrayal on arousal and reactivity as well as NACM clusters. Results also showed indirect associations between exposure to all PMIE dimensions and PTSS clusters via moral injury outcomes. Combat exposure and experiencing PMIEs during military service significantly contributed to the emergence of PTSS during the first year after discharge. The study found 2 distinct paths PMIEs may lead to PTSS among veterans: experiencing acts of transgression and encountering betrayal.
Betrayal has been linked to feelings of anger and humiliation, emotions thought to have evolved to trigger adaptive behavioral responses, such as aggression and revenge, to threats or transgressions by others. PMIE-betrayal also demonstrated direct effects on the arousal and reactivity and NACM symptom clusters, suggesting partial mediation. Another study (also on IDF veterans) found significant positive correlations between PMIE-betrayal and the NACM cluster, suggesting PMIE-betrayal as a link between PTSD and moral injury. While the link between betrayal and NACM is readily apparent, its connection to arousal and reactivity, a fear-based physiological symptom, is less evident.
The findings of the study point to the need for assessment tools that separately measure exposure to PMIEs and individual reactions to them. A recent Federal Practitioner study of 100 veterans with a history of incarceration completed the Moral Injury Events Scale and an adapted version for legal-involved persons (MIES-LIP). The authors found that MIES-LIP demonstrated strong psychometric properties, including good reliability and convergent validity for legal-related moral injury.
The study cites a recent review of cognitive-behavioral psychotherapies for individuals experiencing moral injury that challenges the adequacy of existing evidence-based treatments for PTSD for addressing moral injury and its associated symptoms. It is important to evaluate individuals who express feelings of betrayal with tailored, evidence-based interventions such as adaptive disclosure or cognitive-processing therapy. Acceptance and commitment therapy may also help individuals experiencing emotions such as shame, humiliation, guilt, and anger following morally injurious events.
Newer therapy models like Multi-Modal Motion-Assisted Memory Desensitization and Reconsolidation allow clinicians to use personalized trauma cues to facilitate memory processing, reduce avoidance, and aid in emotional reconsolidation. Clinical research has demonstrated this model’s efficacy in reducing PTSD symptoms, depression, and anxiety, with high acceptability and low dropout rates among military personnel, veterans, and first responders.
Regardless of the treatment, the researchers encourage mental health professionals to approach veterans seeking help with the “utmost sensitivity and attentiveness to any expressions of (moral injury) outcomes.”
Military Background Shapes Eating Disorders in VA Oncology
Military Background Shapes Eating Disorders in VA Oncology
PHOENIX – Veterans are especially vulnerable to disordered eating because of their military backgrounds, a dietician warned US Department of Veterans Affairs (VA) oncology clinicians at the annual meeting of the Association of VA Hematology/Oncology. In fact, an estimated 15% to 25% of veterans meet diagnostic criteria for eating disorders.
“Their experience in the military probably has really shaped the way that they see weight and the stigma behind it,” said Emily Fasciana, MS, RDN, LDN, a registered dietician with the VA based in Wilkes-Barre, Pennsylvania.
When cancer appears, the risk of eating disorders goes up even more, she said. “If we don’t catch eating disorders early on, severe medical problems can occur. In the cancer population, they’re going through enough medical problems as it is.”
Here are things to know about eating disorders in oncology.
Military Life Can Produce a ‘Perfect Storm’ of Risk Factors
Tightly controlled eating environments and food deprivation are often routine in military life. Along with trauma, these can create a “perfect storm of risk factors for eating disorders,” Fasciana said.
During service, for example, “people often will eat as much as they can when they can, sometimes followed by days of not being able to eat,” she said. These are very much like disordered eating behaviors such as binge eating and restricting, and they can place veterans at greater risk.”
She described how service members can develop specific eating patterns during service, such as “midrats” – midnight rations – “meals served during midnight shifts that were the best meal served all day long that they had access to.”
“When I hear veterans who wake up in the middle of the night, and they’re eating, I ask: ‘Did they practice something similar during their military experience?’ They associate that time of the day with enjoyable comfort foods, and that’s what they go to now.”
Vets Can be Haunted by Stigma of Excess Weight
“Making weight” – meeting weight standards – is routine in the military. The pressure to remain under a certain level can have lasting effects on how veterans think about extra pounds, said Kaitlin Ohde, PhD, a clinical health psychologist with the VA Puget Sound Health Care System in Seattle.
“I’ve heard some veterans tell me about getting kicked out of positions because of not being able to make weight. Then they carry this throughout their life, which is really sad,” Ohde said. “When they gain weight during treatment, sometimes it can be really bothersome for them.”
Regular weigh-ins can trouble patients, she said, so it’s important to explain to them why they’re getting on scales: “I’m getting your weight today because I want to see if this medication is doing XYZ.”
She advised colleagues to “make sure they explicitly know why we’re doing it [measuring weight], and how the things we’re using to treat them can impact their weight. This piece of the puzzle sometimes falls off the radar.”
Eating Disorders Can be Catastrophic in Cancer
Untreated eating disorders cause severe medical complications such as malnutrition, hormone dysregulation, low bone density or fractures, bradycardia, gastroparesis, and even anemia, Fasciana said.
There’s a New Category of Eating Disorder
Fasciana highlighted a condition that is underrecognized in oncology: Avoidant/restrictive food intake disorder (ARFID), which refers to patients who stay away from certain foods but not because they’re worried about body image or weight gain. “Patients with ARFID are clinically distinct from those who have anorexia, bulimia, and binge eating disorder,” she noted.
ARFID diagnosis requires food avoidance that leads to at least 1 of these consequences: significant weight loss, nutritional deficiencies, dependence on supplements or tube feeding, or psychosocial impairment.
“Veterans might have a gagging or retching reflex at the sight or smell of certain foods,” Fasciana explained. “They might have difficulty being in the presence of another person eating a nonpreferred food.”
Some cancer patients may be averse to foods of certain temperatures. “You might need to assess why they don’t like the temperature of that food. Why are those foods something that you can’t go to? Are they hurting your teeth? What are they doing to you?”
ARFID patients may also experience social withdrawal around eating. “With a lot of our head and neck cancer patients, especially those with oral cancers and those on feeding tubes, they might feel embarrassed to be around people while eating,” Fasciana said.
She highlighted a 2021 report about 4 cancer survivors with upper abdominal cancers who developed new-onset eating disorders with malnutrition resembling ARFID.
The patients experienced malabsorption, dumping syndrome, and excessive weight loss for 12 months postoperatively without classic body-image concerns. “This is a case example of how eating disorders can evolve in the oncology population,” Fasciana said.
The report said that none of the patients “returned to a healthy weight and/or healthy eating despite extensive team input… The outcomes were poor; 1 patient died, another required admission to a specialist eating disorder admission with a subsequent relapsing-remitting course, and the remaining 2 had complicated chronic courses.”
Treatment: Start With Screening, Then Reframe Thinking
Fasciana highlighted several screening tools, such as SCOFF, BREDS, and one for ARFID.
“Any screen is going to be better than no screen at all, and any question is going to be better than no question at all,” Fasciana said.
She cautioned that “veterans are not going to be so forthcoming about some of their struggles due to stigma and shame because of their past experiences in the military.”
As for therapy, psychological care may not be required, Ohde said. And it’s especially important to “listen to your patients about what they’re going through, and give them space to share.”
For those who could be helped by psychotherapy, she said, “sometimes I introduce it as therapy that can be really brief. Maybe you just need to talk to someone for a few sessions or just get some support around coping with this.”
One strategy is to focus on bringing enjoyment back to eating, she said. For some patients, “eating becomes a chore,” a task performed without joy, alone in a hospital room.
Fasciana emphasized asking questions over time, perhaps through multiple follow-ups, without expecting answers immediately. And she coaxes patients to consider what they hold dear. “I try to get them to think about the meaning that losing or gaining weight has for them, what their values are, and what really matters to them. I link it back to health, healing, and longevity of life.”
Fasciana and Ohde reported they had no disclosures.
PHOENIX – Veterans are especially vulnerable to disordered eating because of their military backgrounds, a dietician warned US Department of Veterans Affairs (VA) oncology clinicians at the annual meeting of the Association of VA Hematology/Oncology. In fact, an estimated 15% to 25% of veterans meet diagnostic criteria for eating disorders.
“Their experience in the military probably has really shaped the way that they see weight and the stigma behind it,” said Emily Fasciana, MS, RDN, LDN, a registered dietician with the VA based in Wilkes-Barre, Pennsylvania.
When cancer appears, the risk of eating disorders goes up even more, she said. “If we don’t catch eating disorders early on, severe medical problems can occur. In the cancer population, they’re going through enough medical problems as it is.”
Here are things to know about eating disorders in oncology.
Military Life Can Produce a ‘Perfect Storm’ of Risk Factors
Tightly controlled eating environments and food deprivation are often routine in military life. Along with trauma, these can create a “perfect storm of risk factors for eating disorders,” Fasciana said.
During service, for example, “people often will eat as much as they can when they can, sometimes followed by days of not being able to eat,” she said. These are very much like disordered eating behaviors such as binge eating and restricting, and they can place veterans at greater risk.”
She described how service members can develop specific eating patterns during service, such as “midrats” – midnight rations – “meals served during midnight shifts that were the best meal served all day long that they had access to.”
“When I hear veterans who wake up in the middle of the night, and they’re eating, I ask: ‘Did they practice something similar during their military experience?’ They associate that time of the day with enjoyable comfort foods, and that’s what they go to now.”
Vets Can be Haunted by Stigma of Excess Weight
“Making weight” – meeting weight standards – is routine in the military. The pressure to remain under a certain level can have lasting effects on how veterans think about extra pounds, said Kaitlin Ohde, PhD, a clinical health psychologist with the VA Puget Sound Health Care System in Seattle.
“I’ve heard some veterans tell me about getting kicked out of positions because of not being able to make weight. Then they carry this throughout their life, which is really sad,” Ohde said. “When they gain weight during treatment, sometimes it can be really bothersome for them.”
Regular weigh-ins can trouble patients, she said, so it’s important to explain to them why they’re getting on scales: “I’m getting your weight today because I want to see if this medication is doing XYZ.”
She advised colleagues to “make sure they explicitly know why we’re doing it [measuring weight], and how the things we’re using to treat them can impact their weight. This piece of the puzzle sometimes falls off the radar.”
Eating Disorders Can be Catastrophic in Cancer
Untreated eating disorders cause severe medical complications such as malnutrition, hormone dysregulation, low bone density or fractures, bradycardia, gastroparesis, and even anemia, Fasciana said.
There’s a New Category of Eating Disorder
Fasciana highlighted a condition that is underrecognized in oncology: Avoidant/restrictive food intake disorder (ARFID), which refers to patients who stay away from certain foods but not because they’re worried about body image or weight gain. “Patients with ARFID are clinically distinct from those who have anorexia, bulimia, and binge eating disorder,” she noted.
ARFID diagnosis requires food avoidance that leads to at least 1 of these consequences: significant weight loss, nutritional deficiencies, dependence on supplements or tube feeding, or psychosocial impairment.
“Veterans might have a gagging or retching reflex at the sight or smell of certain foods,” Fasciana explained. “They might have difficulty being in the presence of another person eating a nonpreferred food.”
Some cancer patients may be averse to foods of certain temperatures. “You might need to assess why they don’t like the temperature of that food. Why are those foods something that you can’t go to? Are they hurting your teeth? What are they doing to you?”
ARFID patients may also experience social withdrawal around eating. “With a lot of our head and neck cancer patients, especially those with oral cancers and those on feeding tubes, they might feel embarrassed to be around people while eating,” Fasciana said.
She highlighted a 2021 report about 4 cancer survivors with upper abdominal cancers who developed new-onset eating disorders with malnutrition resembling ARFID.
The patients experienced malabsorption, dumping syndrome, and excessive weight loss for 12 months postoperatively without classic body-image concerns. “This is a case example of how eating disorders can evolve in the oncology population,” Fasciana said.
The report said that none of the patients “returned to a healthy weight and/or healthy eating despite extensive team input… The outcomes were poor; 1 patient died, another required admission to a specialist eating disorder admission with a subsequent relapsing-remitting course, and the remaining 2 had complicated chronic courses.”
Treatment: Start With Screening, Then Reframe Thinking
Fasciana highlighted several screening tools, such as SCOFF, BREDS, and one for ARFID.
“Any screen is going to be better than no screen at all, and any question is going to be better than no question at all,” Fasciana said.
She cautioned that “veterans are not going to be so forthcoming about some of their struggles due to stigma and shame because of their past experiences in the military.”
As for therapy, psychological care may not be required, Ohde said. And it’s especially important to “listen to your patients about what they’re going through, and give them space to share.”
For those who could be helped by psychotherapy, she said, “sometimes I introduce it as therapy that can be really brief. Maybe you just need to talk to someone for a few sessions or just get some support around coping with this.”
One strategy is to focus on bringing enjoyment back to eating, she said. For some patients, “eating becomes a chore,” a task performed without joy, alone in a hospital room.
Fasciana emphasized asking questions over time, perhaps through multiple follow-ups, without expecting answers immediately. And she coaxes patients to consider what they hold dear. “I try to get them to think about the meaning that losing or gaining weight has for them, what their values are, and what really matters to them. I link it back to health, healing, and longevity of life.”
Fasciana and Ohde reported they had no disclosures.
PHOENIX – Veterans are especially vulnerable to disordered eating because of their military backgrounds, a dietician warned US Department of Veterans Affairs (VA) oncology clinicians at the annual meeting of the Association of VA Hematology/Oncology. In fact, an estimated 15% to 25% of veterans meet diagnostic criteria for eating disorders.
“Their experience in the military probably has really shaped the way that they see weight and the stigma behind it,” said Emily Fasciana, MS, RDN, LDN, a registered dietician with the VA based in Wilkes-Barre, Pennsylvania.
When cancer appears, the risk of eating disorders goes up even more, she said. “If we don’t catch eating disorders early on, severe medical problems can occur. In the cancer population, they’re going through enough medical problems as it is.”
Here are things to know about eating disorders in oncology.
Military Life Can Produce a ‘Perfect Storm’ of Risk Factors
Tightly controlled eating environments and food deprivation are often routine in military life. Along with trauma, these can create a “perfect storm of risk factors for eating disorders,” Fasciana said.
During service, for example, “people often will eat as much as they can when they can, sometimes followed by days of not being able to eat,” she said. These are very much like disordered eating behaviors such as binge eating and restricting, and they can place veterans at greater risk.”
She described how service members can develop specific eating patterns during service, such as “midrats” – midnight rations – “meals served during midnight shifts that were the best meal served all day long that they had access to.”
“When I hear veterans who wake up in the middle of the night, and they’re eating, I ask: ‘Did they practice something similar during their military experience?’ They associate that time of the day with enjoyable comfort foods, and that’s what they go to now.”
Vets Can be Haunted by Stigma of Excess Weight
“Making weight” – meeting weight standards – is routine in the military. The pressure to remain under a certain level can have lasting effects on how veterans think about extra pounds, said Kaitlin Ohde, PhD, a clinical health psychologist with the VA Puget Sound Health Care System in Seattle.
“I’ve heard some veterans tell me about getting kicked out of positions because of not being able to make weight. Then they carry this throughout their life, which is really sad,” Ohde said. “When they gain weight during treatment, sometimes it can be really bothersome for them.”
Regular weigh-ins can trouble patients, she said, so it’s important to explain to them why they’re getting on scales: “I’m getting your weight today because I want to see if this medication is doing XYZ.”
She advised colleagues to “make sure they explicitly know why we’re doing it [measuring weight], and how the things we’re using to treat them can impact their weight. This piece of the puzzle sometimes falls off the radar.”
Eating Disorders Can be Catastrophic in Cancer
Untreated eating disorders cause severe medical complications such as malnutrition, hormone dysregulation, low bone density or fractures, bradycardia, gastroparesis, and even anemia, Fasciana said.
There’s a New Category of Eating Disorder
Fasciana highlighted a condition that is underrecognized in oncology: Avoidant/restrictive food intake disorder (ARFID), which refers to patients who stay away from certain foods but not because they’re worried about body image or weight gain. “Patients with ARFID are clinically distinct from those who have anorexia, bulimia, and binge eating disorder,” she noted.
ARFID diagnosis requires food avoidance that leads to at least 1 of these consequences: significant weight loss, nutritional deficiencies, dependence on supplements or tube feeding, or psychosocial impairment.
“Veterans might have a gagging or retching reflex at the sight or smell of certain foods,” Fasciana explained. “They might have difficulty being in the presence of another person eating a nonpreferred food.”
Some cancer patients may be averse to foods of certain temperatures. “You might need to assess why they don’t like the temperature of that food. Why are those foods something that you can’t go to? Are they hurting your teeth? What are they doing to you?”
ARFID patients may also experience social withdrawal around eating. “With a lot of our head and neck cancer patients, especially those with oral cancers and those on feeding tubes, they might feel embarrassed to be around people while eating,” Fasciana said.
She highlighted a 2021 report about 4 cancer survivors with upper abdominal cancers who developed new-onset eating disorders with malnutrition resembling ARFID.
The patients experienced malabsorption, dumping syndrome, and excessive weight loss for 12 months postoperatively without classic body-image concerns. “This is a case example of how eating disorders can evolve in the oncology population,” Fasciana said.
The report said that none of the patients “returned to a healthy weight and/or healthy eating despite extensive team input… The outcomes were poor; 1 patient died, another required admission to a specialist eating disorder admission with a subsequent relapsing-remitting course, and the remaining 2 had complicated chronic courses.”
Treatment: Start With Screening, Then Reframe Thinking
Fasciana highlighted several screening tools, such as SCOFF, BREDS, and one for ARFID.
“Any screen is going to be better than no screen at all, and any question is going to be better than no question at all,” Fasciana said.
She cautioned that “veterans are not going to be so forthcoming about some of their struggles due to stigma and shame because of their past experiences in the military.”
As for therapy, psychological care may not be required, Ohde said. And it’s especially important to “listen to your patients about what they’re going through, and give them space to share.”
For those who could be helped by psychotherapy, she said, “sometimes I introduce it as therapy that can be really brief. Maybe you just need to talk to someone for a few sessions or just get some support around coping with this.”
One strategy is to focus on bringing enjoyment back to eating, she said. For some patients, “eating becomes a chore,” a task performed without joy, alone in a hospital room.
Fasciana emphasized asking questions over time, perhaps through multiple follow-ups, without expecting answers immediately. And she coaxes patients to consider what they hold dear. “I try to get them to think about the meaning that losing or gaining weight has for them, what their values are, and what really matters to them. I link it back to health, healing, and longevity of life.”
Fasciana and Ohde reported they had no disclosures.
Military Background Shapes Eating Disorders in VA Oncology
Military Background Shapes Eating Disorders in VA Oncology
Don't Treat Investigational Cancer Drugs Like Other Medications
Don't Treat Investigational Cancer Drugs Like Other Medications
PHOENIX – Medications used in oncology clinical trials pose unique challenges in areas such as labeling, packaging, and administration, a US Department of Veterans Affairs (VA) pharmacist cautioned colleagues, and placebos have special needs too.
Even basic safety protections can be lacking when a drug is investigational, said Emily Hennes, PharmD, BCOP, clinical pharmacy specialist for research at William S. Middleton Memorial Veterans Hospital in Shorewood Hills, Wisconsin, in a presentation at the annual meeting of the Association of VA Hematology/Oncology.
“All of the safety features that we have come to know and love in dispensing commercial drugs are absent. There’s no Tall Man lettering, there's no color differentiation, and there's no barcoding, because these are not registered drugs," she said.
A 2017 report found that 81% of pharmacists surveyed indicated some level of concern regarding the safety risk in using investigational drugs. At the same time, Hennes noted, the Joint Commission has mandated that pharmacists must control the storage, dispensing, labeling, and distribution of investigational medications.
Here are things to know about the use of investigational cancer drugs:
Drug Interactions Are Common
Hennes highlighted a 2023 study of medication reconciliation of 501 patients in 79 clinical trials that found alarming levels of drug interactions:
• 360 clinically relevant drug-drug interactions were identified among 189 patients, including 158 therapies that were prohibited by protocols. Of these, 57.7% involved cytochrome P450 enzymes, which are involved in metabolism.
• Reconciliation revealed that 35.2% of medications were not otherwise known or documented.
• A median of 2 previously unknown therapies per patient was discovered in 74% of patients.
• Alternative medicine products such as supplements and over-the-counter drugs were implicated in 60% of identified drug interactions.
• Only 41% of oncologists discussed alternative medicine use with patients, which Hennes attributed to “lack of familiarity with many alternative medicine products or insufficient training.”
To make things more complicated, “We sometimes don’t know the full pharmacokinetic and pharmacodynamic profile of an investigational agent,” she said.
Naming and Labeling May Not Be Standard
Investigational products may not have genetic names and instead have an alphanumeric identifier such as INV54826 that can be quite similar to other products, she said. Investigational drugs may even go through name changes, forcing pharmacists to be alerted to protect patients.
In addition, labeling may not be standardized. Drugs may arrive unlabeled, with the wrong volume and size, and lack of barcoding. In some cases, pharmacists choose to put new, patient-friendly labels on these products, Hennes said.
Information Distribution is Key
“Something that comes up in our practice quite a bit is that there’s no standard drug reference regarding investigational drugs,” Hennes said. “Finding ways to get key information to staff at the point of care is really critical to make sure we’re able to safely treat our patients.”
Precautions May Be Needed to Maintain Blinding Protocols
Hennes explained that pharmacists must use opaque brown bag covers to maintain blinding when parenteral products have distinctive colors. Lines may have to be covered too, which can create challenges during administration.
“Pumps aren’t meant to run lines that are covered,” she said, which can lead to jams. “If you don’t do education with your point of care staff, it can cause a lot of confusion.”
It’s also important for blinding purposes to keep an eye on how long it takes to prepare a treatment, she said. A study’s integrity, for example, could be violated if a complex investigational product takes an hour to equilibrate to room temperature and 20-30 minutes to prepare, while a placebo only requires “drawing a few mils of saline out of a bag and labeling it.”
Education for Patients Can Be Useful
Hennes urged colleagues to remind patients to save investigational medication at the end of each cycle and return it to the clinic site for accountability.
She also suggested creating treatment calendars/reminders for patients and discussing
Hennes reported no disclosures.
PHOENIX – Medications used in oncology clinical trials pose unique challenges in areas such as labeling, packaging, and administration, a US Department of Veterans Affairs (VA) pharmacist cautioned colleagues, and placebos have special needs too.
Even basic safety protections can be lacking when a drug is investigational, said Emily Hennes, PharmD, BCOP, clinical pharmacy specialist for research at William S. Middleton Memorial Veterans Hospital in Shorewood Hills, Wisconsin, in a presentation at the annual meeting of the Association of VA Hematology/Oncology.
“All of the safety features that we have come to know and love in dispensing commercial drugs are absent. There’s no Tall Man lettering, there's no color differentiation, and there's no barcoding, because these are not registered drugs," she said.
A 2017 report found that 81% of pharmacists surveyed indicated some level of concern regarding the safety risk in using investigational drugs. At the same time, Hennes noted, the Joint Commission has mandated that pharmacists must control the storage, dispensing, labeling, and distribution of investigational medications.
Here are things to know about the use of investigational cancer drugs:
Drug Interactions Are Common
Hennes highlighted a 2023 study of medication reconciliation of 501 patients in 79 clinical trials that found alarming levels of drug interactions:
• 360 clinically relevant drug-drug interactions were identified among 189 patients, including 158 therapies that were prohibited by protocols. Of these, 57.7% involved cytochrome P450 enzymes, which are involved in metabolism.
• Reconciliation revealed that 35.2% of medications were not otherwise known or documented.
• A median of 2 previously unknown therapies per patient was discovered in 74% of patients.
• Alternative medicine products such as supplements and over-the-counter drugs were implicated in 60% of identified drug interactions.
• Only 41% of oncologists discussed alternative medicine use with patients, which Hennes attributed to “lack of familiarity with many alternative medicine products or insufficient training.”
To make things more complicated, “We sometimes don’t know the full pharmacokinetic and pharmacodynamic profile of an investigational agent,” she said.
Naming and Labeling May Not Be Standard
Investigational products may not have genetic names and instead have an alphanumeric identifier such as INV54826 that can be quite similar to other products, she said. Investigational drugs may even go through name changes, forcing pharmacists to be alerted to protect patients.
In addition, labeling may not be standardized. Drugs may arrive unlabeled, with the wrong volume and size, and lack of barcoding. In some cases, pharmacists choose to put new, patient-friendly labels on these products, Hennes said.
Information Distribution is Key
“Something that comes up in our practice quite a bit is that there’s no standard drug reference regarding investigational drugs,” Hennes said. “Finding ways to get key information to staff at the point of care is really critical to make sure we’re able to safely treat our patients.”
Precautions May Be Needed to Maintain Blinding Protocols
Hennes explained that pharmacists must use opaque brown bag covers to maintain blinding when parenteral products have distinctive colors. Lines may have to be covered too, which can create challenges during administration.
“Pumps aren’t meant to run lines that are covered,” she said, which can lead to jams. “If you don’t do education with your point of care staff, it can cause a lot of confusion.”
It’s also important for blinding purposes to keep an eye on how long it takes to prepare a treatment, she said. A study’s integrity, for example, could be violated if a complex investigational product takes an hour to equilibrate to room temperature and 20-30 minutes to prepare, while a placebo only requires “drawing a few mils of saline out of a bag and labeling it.”
Education for Patients Can Be Useful
Hennes urged colleagues to remind patients to save investigational medication at the end of each cycle and return it to the clinic site for accountability.
She also suggested creating treatment calendars/reminders for patients and discussing
Hennes reported no disclosures.
PHOENIX – Medications used in oncology clinical trials pose unique challenges in areas such as labeling, packaging, and administration, a US Department of Veterans Affairs (VA) pharmacist cautioned colleagues, and placebos have special needs too.
Even basic safety protections can be lacking when a drug is investigational, said Emily Hennes, PharmD, BCOP, clinical pharmacy specialist for research at William S. Middleton Memorial Veterans Hospital in Shorewood Hills, Wisconsin, in a presentation at the annual meeting of the Association of VA Hematology/Oncology.
“All of the safety features that we have come to know and love in dispensing commercial drugs are absent. There’s no Tall Man lettering, there's no color differentiation, and there's no barcoding, because these are not registered drugs," she said.
A 2017 report found that 81% of pharmacists surveyed indicated some level of concern regarding the safety risk in using investigational drugs. At the same time, Hennes noted, the Joint Commission has mandated that pharmacists must control the storage, dispensing, labeling, and distribution of investigational medications.
Here are things to know about the use of investigational cancer drugs:
Drug Interactions Are Common
Hennes highlighted a 2023 study of medication reconciliation of 501 patients in 79 clinical trials that found alarming levels of drug interactions:
• 360 clinically relevant drug-drug interactions were identified among 189 patients, including 158 therapies that were prohibited by protocols. Of these, 57.7% involved cytochrome P450 enzymes, which are involved in metabolism.
• Reconciliation revealed that 35.2% of medications were not otherwise known or documented.
• A median of 2 previously unknown therapies per patient was discovered in 74% of patients.
• Alternative medicine products such as supplements and over-the-counter drugs were implicated in 60% of identified drug interactions.
• Only 41% of oncologists discussed alternative medicine use with patients, which Hennes attributed to “lack of familiarity with many alternative medicine products or insufficient training.”
To make things more complicated, “We sometimes don’t know the full pharmacokinetic and pharmacodynamic profile of an investigational agent,” she said.
Naming and Labeling May Not Be Standard
Investigational products may not have genetic names and instead have an alphanumeric identifier such as INV54826 that can be quite similar to other products, she said. Investigational drugs may even go through name changes, forcing pharmacists to be alerted to protect patients.
In addition, labeling may not be standardized. Drugs may arrive unlabeled, with the wrong volume and size, and lack of barcoding. In some cases, pharmacists choose to put new, patient-friendly labels on these products, Hennes said.
Information Distribution is Key
“Something that comes up in our practice quite a bit is that there’s no standard drug reference regarding investigational drugs,” Hennes said. “Finding ways to get key information to staff at the point of care is really critical to make sure we’re able to safely treat our patients.”
Precautions May Be Needed to Maintain Blinding Protocols
Hennes explained that pharmacists must use opaque brown bag covers to maintain blinding when parenteral products have distinctive colors. Lines may have to be covered too, which can create challenges during administration.
“Pumps aren’t meant to run lines that are covered,” she said, which can lead to jams. “If you don’t do education with your point of care staff, it can cause a lot of confusion.”
It’s also important for blinding purposes to keep an eye on how long it takes to prepare a treatment, she said. A study’s integrity, for example, could be violated if a complex investigational product takes an hour to equilibrate to room temperature and 20-30 minutes to prepare, while a placebo only requires “drawing a few mils of saline out of a bag and labeling it.”
Education for Patients Can Be Useful
Hennes urged colleagues to remind patients to save investigational medication at the end of each cycle and return it to the clinic site for accountability.
She also suggested creating treatment calendars/reminders for patients and discussing
Hennes reported no disclosures.
Don't Treat Investigational Cancer Drugs Like Other Medications
Don't Treat Investigational Cancer Drugs Like Other Medications
High-Risk Meds Worsen Cancer Outcomes in Veterans
TOPLINE:
High-risk medications defined by the National Comprehensive Cancer Network (NCCN) and captured by the Geriatric Oncology Potentially Inappropriate Medication (GO-PIM) scale were prevalent in > one-third of veterans with solid and hematologic malignancies. Each additional GO-PIM was independently associated with higher risks for frailty at diagnosis, unplanned hospitalizations during follow-up, and death.
METHODOLOGY:
- Patients with cancer often use multiple chronic medications, raising risks for adverse events. Although several tools that identify PIMs have been developed that correlate with adverse cancer outcomes, their use is limited in busy oncology clinics. To improve implementation, researchers developed the GO-PIM scale using the NCCN’s list of high-risk medications.
- Researchers conducted a retrospective cohort study using data from the national Veterans Affairs Cancer Registry and electronic health records, which included 388,113 veterans newly diagnosed with solid or hematologic malignancies (median age, 69.3 years; 97.9% men; 76.1% non-Hispanic White and 17.3% Black individuals) between 2000 and 2022.
- They identified GO-PIMs using outpatient pharmacy records in the 90 days preceding cancer diagnosis. Each prescription for a specific GO-PIM was counted as one, including both individual drugs and drug classes listed in the GO-PIM scale.
- Study outcomes were frailty, hospitalizations, and overall survival. Baseline frailty at diagnosis was measured using the Veterans Affairs Frailty Index. The score ranged from 0 to 1, and higher scores indicated greater frailty. Patients were classified as nonfrail (score, ≤ 0.2), mildly frail (score, > 0.2 to 0.3), or moderate-to-severely frail (score, > 0.3).
- Lung (23.7%), prostate (21.5%), and gastrointestinal (20.5%) cancers were the most common, and the most frequent stages were IV (25.4%) and II (24.4%).
TAKEAWAY:
- Overall, 38.0% of veterans were prescribed ≥ 1 GO-PIMs at the time of cancer diagnosis, and the proportion increased to 56.1% among those with moderate-to-severe frailty.
- The most commonly prescribed classes of PIMs were selective serotonin reuptake inhibitors (SSRIs; 12.0%), opioids (10.4%), benzodiazepines (9.2%), and corticosteroids (9.2%). Among individual drugs, sertraline was the most common SSRI (4.3%), tramadol the most common opioid (5.3%), lorazepam the most common benzodiazepine (2.5%), and prednisone the most common corticosteroid (4.9%). Trends over time showed a steady increase in opioid prescriptions, peaking in 2014, followed by a subsequent decline, while prescriptions of benzodiazepines declined during the later years.
- After adjusting for age, cancer type and stage, and other covariates, each additional GO-PIM was associated with a 66% higher odds of mild or moderate-to-severe frailty at diagnosis (adjusted odds ratio, 1.66).
- After adjusting for frailty and covariates, each additional GO-PIM at diagnosis was associated with increased risks for unplanned hospitalizations and death (adjusted hazard ratios, 1.08 and 1.07, respectively). These associations remained stable in sensitivity analyses that restricted GO-PIMs to scheduled medications only, focused on patients who had initiated cancer treatment, and included only those aged ≥ 65 years.
IN PRACTICE:
“Whether prescribed for supportive oncology care or for coexisting medical conditions, high-risk medications identified as PIMs should be reviewed and optimized in patients with cancer,” the authors of the study wrote.
“GO-PIMs offers a streamlined, oncology-specific approach to identifying high-risk prescribing, and complements existing efforts to improve supportive care, especially for older, frail patients,” remarked Mostafa R. Mohamed, MBBCH, PhD, MSc, and Erika E. Ramsdale, MD, University of Rochester Medical Center, Rochester, New York in an invited commentary. “The next step lies in integrating tools such as GO-PIMs into everyday practice not only to flag high risk medications but also to support actionable changes in treatment planning and patient management, such as deprescribing,” they concluded.
SOURCE:
This study, led by Jennifer La, PhD, Harvard Medical School, Boston, was published online in Journal of the National Comprehensive Cancer Network.
LIMITATIONS:
Prescription chronicity before or after follow-up was not measured and actual medication adherence could not be confirmed. Residual confounding by comorbidity could have existed, and the cross-sectional nature of linking GO-PIMs with frailty might have limited causal inference. Additionally, prescriptions were measured within Veterans Affairs pharmacy data, potentially underestimating GO-PIM prevalence, and the predominantly male population limited generalizability to gynecologic cancers.
DISCLOSURES:
This study was supported by grants and rewards from the Veterans Affairs Office of Research and Development, Cooperative Studies Program, National Institutes of Health, and American Heart Association. Some authors declared serving as consultants or receiving grants and having other ties with various sources. Additional disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
High-risk medications defined by the National Comprehensive Cancer Network (NCCN) and captured by the Geriatric Oncology Potentially Inappropriate Medication (GO-PIM) scale were prevalent in > one-third of veterans with solid and hematologic malignancies. Each additional GO-PIM was independently associated with higher risks for frailty at diagnosis, unplanned hospitalizations during follow-up, and death.
METHODOLOGY:
- Patients with cancer often use multiple chronic medications, raising risks for adverse events. Although several tools that identify PIMs have been developed that correlate with adverse cancer outcomes, their use is limited in busy oncology clinics. To improve implementation, researchers developed the GO-PIM scale using the NCCN’s list of high-risk medications.
- Researchers conducted a retrospective cohort study using data from the national Veterans Affairs Cancer Registry and electronic health records, which included 388,113 veterans newly diagnosed with solid or hematologic malignancies (median age, 69.3 years; 97.9% men; 76.1% non-Hispanic White and 17.3% Black individuals) between 2000 and 2022.
- They identified GO-PIMs using outpatient pharmacy records in the 90 days preceding cancer diagnosis. Each prescription for a specific GO-PIM was counted as one, including both individual drugs and drug classes listed in the GO-PIM scale.
- Study outcomes were frailty, hospitalizations, and overall survival. Baseline frailty at diagnosis was measured using the Veterans Affairs Frailty Index. The score ranged from 0 to 1, and higher scores indicated greater frailty. Patients were classified as nonfrail (score, ≤ 0.2), mildly frail (score, > 0.2 to 0.3), or moderate-to-severely frail (score, > 0.3).
- Lung (23.7%), prostate (21.5%), and gastrointestinal (20.5%) cancers were the most common, and the most frequent stages were IV (25.4%) and II (24.4%).
TAKEAWAY:
- Overall, 38.0% of veterans were prescribed ≥ 1 GO-PIMs at the time of cancer diagnosis, and the proportion increased to 56.1% among those with moderate-to-severe frailty.
- The most commonly prescribed classes of PIMs were selective serotonin reuptake inhibitors (SSRIs; 12.0%), opioids (10.4%), benzodiazepines (9.2%), and corticosteroids (9.2%). Among individual drugs, sertraline was the most common SSRI (4.3%), tramadol the most common opioid (5.3%), lorazepam the most common benzodiazepine (2.5%), and prednisone the most common corticosteroid (4.9%). Trends over time showed a steady increase in opioid prescriptions, peaking in 2014, followed by a subsequent decline, while prescriptions of benzodiazepines declined during the later years.
- After adjusting for age, cancer type and stage, and other covariates, each additional GO-PIM was associated with a 66% higher odds of mild or moderate-to-severe frailty at diagnosis (adjusted odds ratio, 1.66).
- After adjusting for frailty and covariates, each additional GO-PIM at diagnosis was associated with increased risks for unplanned hospitalizations and death (adjusted hazard ratios, 1.08 and 1.07, respectively). These associations remained stable in sensitivity analyses that restricted GO-PIMs to scheduled medications only, focused on patients who had initiated cancer treatment, and included only those aged ≥ 65 years.
IN PRACTICE:
“Whether prescribed for supportive oncology care or for coexisting medical conditions, high-risk medications identified as PIMs should be reviewed and optimized in patients with cancer,” the authors of the study wrote.
“GO-PIMs offers a streamlined, oncology-specific approach to identifying high-risk prescribing, and complements existing efforts to improve supportive care, especially for older, frail patients,” remarked Mostafa R. Mohamed, MBBCH, PhD, MSc, and Erika E. Ramsdale, MD, University of Rochester Medical Center, Rochester, New York in an invited commentary. “The next step lies in integrating tools such as GO-PIMs into everyday practice not only to flag high risk medications but also to support actionable changes in treatment planning and patient management, such as deprescribing,” they concluded.
SOURCE:
This study, led by Jennifer La, PhD, Harvard Medical School, Boston, was published online in Journal of the National Comprehensive Cancer Network.
LIMITATIONS:
Prescription chronicity before or after follow-up was not measured and actual medication adherence could not be confirmed. Residual confounding by comorbidity could have existed, and the cross-sectional nature of linking GO-PIMs with frailty might have limited causal inference. Additionally, prescriptions were measured within Veterans Affairs pharmacy data, potentially underestimating GO-PIM prevalence, and the predominantly male population limited generalizability to gynecologic cancers.
DISCLOSURES:
This study was supported by grants and rewards from the Veterans Affairs Office of Research and Development, Cooperative Studies Program, National Institutes of Health, and American Heart Association. Some authors declared serving as consultants or receiving grants and having other ties with various sources. Additional disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
High-risk medications defined by the National Comprehensive Cancer Network (NCCN) and captured by the Geriatric Oncology Potentially Inappropriate Medication (GO-PIM) scale were prevalent in > one-third of veterans with solid and hematologic malignancies. Each additional GO-PIM was independently associated with higher risks for frailty at diagnosis, unplanned hospitalizations during follow-up, and death.
METHODOLOGY:
- Patients with cancer often use multiple chronic medications, raising risks for adverse events. Although several tools that identify PIMs have been developed that correlate with adverse cancer outcomes, their use is limited in busy oncology clinics. To improve implementation, researchers developed the GO-PIM scale using the NCCN’s list of high-risk medications.
- Researchers conducted a retrospective cohort study using data from the national Veterans Affairs Cancer Registry and electronic health records, which included 388,113 veterans newly diagnosed with solid or hematologic malignancies (median age, 69.3 years; 97.9% men; 76.1% non-Hispanic White and 17.3% Black individuals) between 2000 and 2022.
- They identified GO-PIMs using outpatient pharmacy records in the 90 days preceding cancer diagnosis. Each prescription for a specific GO-PIM was counted as one, including both individual drugs and drug classes listed in the GO-PIM scale.
- Study outcomes were frailty, hospitalizations, and overall survival. Baseline frailty at diagnosis was measured using the Veterans Affairs Frailty Index. The score ranged from 0 to 1, and higher scores indicated greater frailty. Patients were classified as nonfrail (score, ≤ 0.2), mildly frail (score, > 0.2 to 0.3), or moderate-to-severely frail (score, > 0.3).
- Lung (23.7%), prostate (21.5%), and gastrointestinal (20.5%) cancers were the most common, and the most frequent stages were IV (25.4%) and II (24.4%).
TAKEAWAY:
- Overall, 38.0% of veterans were prescribed ≥ 1 GO-PIMs at the time of cancer diagnosis, and the proportion increased to 56.1% among those with moderate-to-severe frailty.
- The most commonly prescribed classes of PIMs were selective serotonin reuptake inhibitors (SSRIs; 12.0%), opioids (10.4%), benzodiazepines (9.2%), and corticosteroids (9.2%). Among individual drugs, sertraline was the most common SSRI (4.3%), tramadol the most common opioid (5.3%), lorazepam the most common benzodiazepine (2.5%), and prednisone the most common corticosteroid (4.9%). Trends over time showed a steady increase in opioid prescriptions, peaking in 2014, followed by a subsequent decline, while prescriptions of benzodiazepines declined during the later years.
- After adjusting for age, cancer type and stage, and other covariates, each additional GO-PIM was associated with a 66% higher odds of mild or moderate-to-severe frailty at diagnosis (adjusted odds ratio, 1.66).
- After adjusting for frailty and covariates, each additional GO-PIM at diagnosis was associated with increased risks for unplanned hospitalizations and death (adjusted hazard ratios, 1.08 and 1.07, respectively). These associations remained stable in sensitivity analyses that restricted GO-PIMs to scheduled medications only, focused on patients who had initiated cancer treatment, and included only those aged ≥ 65 years.
IN PRACTICE:
“Whether prescribed for supportive oncology care or for coexisting medical conditions, high-risk medications identified as PIMs should be reviewed and optimized in patients with cancer,” the authors of the study wrote.
“GO-PIMs offers a streamlined, oncology-specific approach to identifying high-risk prescribing, and complements existing efforts to improve supportive care, especially for older, frail patients,” remarked Mostafa R. Mohamed, MBBCH, PhD, MSc, and Erika E. Ramsdale, MD, University of Rochester Medical Center, Rochester, New York in an invited commentary. “The next step lies in integrating tools such as GO-PIMs into everyday practice not only to flag high risk medications but also to support actionable changes in treatment planning and patient management, such as deprescribing,” they concluded.
SOURCE:
This study, led by Jennifer La, PhD, Harvard Medical School, Boston, was published online in Journal of the National Comprehensive Cancer Network.
LIMITATIONS:
Prescription chronicity before or after follow-up was not measured and actual medication adherence could not be confirmed. Residual confounding by comorbidity could have existed, and the cross-sectional nature of linking GO-PIMs with frailty might have limited causal inference. Additionally, prescriptions were measured within Veterans Affairs pharmacy data, potentially underestimating GO-PIM prevalence, and the predominantly male population limited generalizability to gynecologic cancers.
DISCLOSURES:
This study was supported by grants and rewards from the Veterans Affairs Office of Research and Development, Cooperative Studies Program, National Institutes of Health, and American Heart Association. Some authors declared serving as consultants or receiving grants and having other ties with various sources. Additional disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
1 in 10 Veterans Still Use Opioids Long After Cancer Surgery
TOPLINE:
About 1 in 10 veterans with early-stage cancer developed new persistent opioid use after curative‐intent surgery, though < 1% were diagnosed with opioid use disorder.
METHODOLOGY:
Although effective pain control during cancer treatment is vital, prescribing opioids in this context may contribute to unsafe, long-term use and related adverse outcomes. Veterans, who have higher-than-average rates of mental health and substance use disorders, may be at particular risk for adverse events from opioid use related to cancer treatment.
Researchers conducted a national retrospective cohort study of 9213 US veterans (98% men) with stage 0-III cancer who were opioid-naive and underwent curative-intent surgery at Veterans Affairs medical centers between 2015 and 2016. Prostate (n = 2594; 28%), colorectal (n = 2393; 26%), bladder (n = 2302; 25%), and lung (n = 1252; 14%) cancers were the most common.
Primary outcomes were the number of days of co-prescription of benzodiazepines and opioids (an indicator of unsafe opioid prescribing) and new persistent opioid use, defined as receiving ≥ 1 opioid prescription at 90-180 days postsurgery. Opioid‐related adverse effects, including opioid use disorder and opioid overdose, were also reported.
Overall, 6970 (76%) of the participants were prescribed opioids at some point during the baseline treatment period (30 days before through 14 days after surgery). The mean morphine milligram equivalent (MME) was 172.5.
TAKEAWAY:
Overall, 4% of patients received co-prescriptions of benzodiazepines and opioids. The mean number of days of coprescription rose in tandem with opioid doses during the treatment period: from 0.48 days in the lowest MME quartile to 2.1 days in the highest quartile (P < .0001).
Over 1 in 10 patients (10.6%) developed new persistent opioid use. Those in the highest MME quartile had a 1.6-fold greater risk of developing new persistent opioid use than those with no opioid exposure during the treatment period (hazard ratio [HR], 1.6; P < .001). The percentage of patients with opioid prescriptions did decline over the 13-month follow-up, but among those who continued on opioids, the daily MME remained stable (median, 20 for month 1 and 30 for month 12).
Treatment with adjuvant chemotherapy increased the risk for new persistent opioid use (HR, 1.5; 95% CI, 1.2-1.8; P < .001). Additional risk factors included having bladder, colorectal, lung, or other types of cancer (vs prostate cancer); stage I-III disease (vs stage 0); age 45-64 years (vs older); lower socioeconomic status; preoperative use of nonopioid pain medication; and a baseline history of anxiety, depression, or posttraumatic stress disorder.
Over 13 months, 72 patients (0.78%) developed opioid use disorder, 3 (0.03%) experienced nonoverdose adverse events, and no opioid overdose occurred.
IN PRACTICE:
“Although a cancer diagnosis, treatment, and associated pain syndromes will require specific pain management strategies,” the authors wrote, “efforts should be taken to mitigate long‐term opioid use and its potential adverse effects in this population. They added that “both system‐level changes that involve preoperative evaluation planning as well as increased knowledge, awareness, and education among providers and patients about the risk of long‐term opioid use can guide strategies for effective and safe pain management.”
SOURCE:
The study, led by Marilyn M. Schapira, MD, MPH, Center for Healthcare Evaluation, Research, and Promotion, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, was published online in Cancer.
LIMITATIONS:
Opioid prescriptions outside the Veterans Affairs system were not captured. The study was based on filled opioid prescriptions, and actual patient consumption was unknown. Outpatient methadone prescriptions were not included. The study also excluded patients with breast cancer, limiting generalizability.
DISCLOSURES:
The study was funded by grant from the Department of Veterans Affairs. One author reported consulting for Moderna and TriNetX. Another author reported consulting for Genetic Chemistry, Thyme Care, Biofourmis, Onc.Al, Credit Suisse, Main Street Health, ConcertAI, Medscape, and G1 Therapeutics. The other authors declared having no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
About 1 in 10 veterans with early-stage cancer developed new persistent opioid use after curative‐intent surgery, though < 1% were diagnosed with opioid use disorder.
METHODOLOGY:
Although effective pain control during cancer treatment is vital, prescribing opioids in this context may contribute to unsafe, long-term use and related adverse outcomes. Veterans, who have higher-than-average rates of mental health and substance use disorders, may be at particular risk for adverse events from opioid use related to cancer treatment.
Researchers conducted a national retrospective cohort study of 9213 US veterans (98% men) with stage 0-III cancer who were opioid-naive and underwent curative-intent surgery at Veterans Affairs medical centers between 2015 and 2016. Prostate (n = 2594; 28%), colorectal (n = 2393; 26%), bladder (n = 2302; 25%), and lung (n = 1252; 14%) cancers were the most common.
Primary outcomes were the number of days of co-prescription of benzodiazepines and opioids (an indicator of unsafe opioid prescribing) and new persistent opioid use, defined as receiving ≥ 1 opioid prescription at 90-180 days postsurgery. Opioid‐related adverse effects, including opioid use disorder and opioid overdose, were also reported.
Overall, 6970 (76%) of the participants were prescribed opioids at some point during the baseline treatment period (30 days before through 14 days after surgery). The mean morphine milligram equivalent (MME) was 172.5.
TAKEAWAY:
Overall, 4% of patients received co-prescriptions of benzodiazepines and opioids. The mean number of days of coprescription rose in tandem with opioid doses during the treatment period: from 0.48 days in the lowest MME quartile to 2.1 days in the highest quartile (P < .0001).
Over 1 in 10 patients (10.6%) developed new persistent opioid use. Those in the highest MME quartile had a 1.6-fold greater risk of developing new persistent opioid use than those with no opioid exposure during the treatment period (hazard ratio [HR], 1.6; P < .001). The percentage of patients with opioid prescriptions did decline over the 13-month follow-up, but among those who continued on opioids, the daily MME remained stable (median, 20 for month 1 and 30 for month 12).
Treatment with adjuvant chemotherapy increased the risk for new persistent opioid use (HR, 1.5; 95% CI, 1.2-1.8; P < .001). Additional risk factors included having bladder, colorectal, lung, or other types of cancer (vs prostate cancer); stage I-III disease (vs stage 0); age 45-64 years (vs older); lower socioeconomic status; preoperative use of nonopioid pain medication; and a baseline history of anxiety, depression, or posttraumatic stress disorder.
Over 13 months, 72 patients (0.78%) developed opioid use disorder, 3 (0.03%) experienced nonoverdose adverse events, and no opioid overdose occurred.
IN PRACTICE:
“Although a cancer diagnosis, treatment, and associated pain syndromes will require specific pain management strategies,” the authors wrote, “efforts should be taken to mitigate long‐term opioid use and its potential adverse effects in this population. They added that “both system‐level changes that involve preoperative evaluation planning as well as increased knowledge, awareness, and education among providers and patients about the risk of long‐term opioid use can guide strategies for effective and safe pain management.”
SOURCE:
The study, led by Marilyn M. Schapira, MD, MPH, Center for Healthcare Evaluation, Research, and Promotion, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, was published online in Cancer.
LIMITATIONS:
Opioid prescriptions outside the Veterans Affairs system were not captured. The study was based on filled opioid prescriptions, and actual patient consumption was unknown. Outpatient methadone prescriptions were not included. The study also excluded patients with breast cancer, limiting generalizability.
DISCLOSURES:
The study was funded by grant from the Department of Veterans Affairs. One author reported consulting for Moderna and TriNetX. Another author reported consulting for Genetic Chemistry, Thyme Care, Biofourmis, Onc.Al, Credit Suisse, Main Street Health, ConcertAI, Medscape, and G1 Therapeutics. The other authors declared having no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
About 1 in 10 veterans with early-stage cancer developed new persistent opioid use after curative‐intent surgery, though < 1% were diagnosed with opioid use disorder.
METHODOLOGY:
Although effective pain control during cancer treatment is vital, prescribing opioids in this context may contribute to unsafe, long-term use and related adverse outcomes. Veterans, who have higher-than-average rates of mental health and substance use disorders, may be at particular risk for adverse events from opioid use related to cancer treatment.
Researchers conducted a national retrospective cohort study of 9213 US veterans (98% men) with stage 0-III cancer who were opioid-naive and underwent curative-intent surgery at Veterans Affairs medical centers between 2015 and 2016. Prostate (n = 2594; 28%), colorectal (n = 2393; 26%), bladder (n = 2302; 25%), and lung (n = 1252; 14%) cancers were the most common.
Primary outcomes were the number of days of co-prescription of benzodiazepines and opioids (an indicator of unsafe opioid prescribing) and new persistent opioid use, defined as receiving ≥ 1 opioid prescription at 90-180 days postsurgery. Opioid‐related adverse effects, including opioid use disorder and opioid overdose, were also reported.
Overall, 6970 (76%) of the participants were prescribed opioids at some point during the baseline treatment period (30 days before through 14 days after surgery). The mean morphine milligram equivalent (MME) was 172.5.
TAKEAWAY:
Overall, 4% of patients received co-prescriptions of benzodiazepines and opioids. The mean number of days of coprescription rose in tandem with opioid doses during the treatment period: from 0.48 days in the lowest MME quartile to 2.1 days in the highest quartile (P < .0001).
Over 1 in 10 patients (10.6%) developed new persistent opioid use. Those in the highest MME quartile had a 1.6-fold greater risk of developing new persistent opioid use than those with no opioid exposure during the treatment period (hazard ratio [HR], 1.6; P < .001). The percentage of patients with opioid prescriptions did decline over the 13-month follow-up, but among those who continued on opioids, the daily MME remained stable (median, 20 for month 1 and 30 for month 12).
Treatment with adjuvant chemotherapy increased the risk for new persistent opioid use (HR, 1.5; 95% CI, 1.2-1.8; P < .001). Additional risk factors included having bladder, colorectal, lung, or other types of cancer (vs prostate cancer); stage I-III disease (vs stage 0); age 45-64 years (vs older); lower socioeconomic status; preoperative use of nonopioid pain medication; and a baseline history of anxiety, depression, or posttraumatic stress disorder.
Over 13 months, 72 patients (0.78%) developed opioid use disorder, 3 (0.03%) experienced nonoverdose adverse events, and no opioid overdose occurred.
IN PRACTICE:
“Although a cancer diagnosis, treatment, and associated pain syndromes will require specific pain management strategies,” the authors wrote, “efforts should be taken to mitigate long‐term opioid use and its potential adverse effects in this population. They added that “both system‐level changes that involve preoperative evaluation planning as well as increased knowledge, awareness, and education among providers and patients about the risk of long‐term opioid use can guide strategies for effective and safe pain management.”
SOURCE:
The study, led by Marilyn M. Schapira, MD, MPH, Center for Healthcare Evaluation, Research, and Promotion, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, was published online in Cancer.
LIMITATIONS:
Opioid prescriptions outside the Veterans Affairs system were not captured. The study was based on filled opioid prescriptions, and actual patient consumption was unknown. Outpatient methadone prescriptions were not included. The study also excluded patients with breast cancer, limiting generalizability.
DISCLOSURES:
The study was funded by grant from the Department of Veterans Affairs. One author reported consulting for Moderna and TriNetX. Another author reported consulting for Genetic Chemistry, Thyme Care, Biofourmis, Onc.Al, Credit Suisse, Main Street Health, ConcertAI, Medscape, and G1 Therapeutics. The other authors declared having no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
Trauma, Military Fitness, and Eating Disorders
Military culture may hold 2 salient risk factors for eating disorders: exposure to trauma and body condition standards. A recent study from the US Department of Veteran Affairs (VA) Salisbury Health Care System (VASHCS) found that veterans with posttraumatic stress disorder (PTSD) are more likely to report eating disturbances—particularly issues related to body dissatisfaction and dissatisfaction with eating habits. A 2019 study found that one-third of veterans who were overweight or obese screened positive for engaging in “making weight” behaviors during military service, or unhealthy weight control strategies. Frequently reported weight management behavior was excessive exercise, fasting/skipping meals, sitting in a sauna/wearing a latex suit, laxatives, diuretics, and vomiting.
Service members who are “normal” weight by civilian standards may be labeled “overweight” by the military. In a March 12 memo, Secretary of Defense Pete Hegseth ordered a US Department of Defense review of existing standards for physical fitness, body composition, and grooming. “Our troops will be fit — not fat. Our troops will look sharp — not sloppy. We seek only quality — not quotas. BOTTOM LINE: our @DeptofDefense will make standards HIGH & GREAT again — across the entire force,” he posted on X.
The desire to control weight to fit military standards, however, isn’t the only risk factor. Researchers at VASHCS surveyed 527 post-9/11 veterans (80.7% male) who typically deployed 1 or 2 times. All participants completed the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; the Neuro-Quality of Life in Neurological Disorders Positive Affect and Well-Being Scale (PAWB); and the Eating Disturbances Scale.
Nearly half (46%) of the sample met diagnostic criteria for a lifetime PTSD diagnosis. The study also reported significantly greater eating disturbances in veterans with a lifetime PTSD diagnosis than those without. Women reported significantly greater eating disturbances than men.
Most participants (80%) reported some level of dissatisfaction with their eating disturbances and 74% of participants reported feeling as if they were too fat.
Eating disturbances include refusing food, overexercising, overeating, and misusing laxatives or diuretic pills. Previous research that suggest that 10% to 15% of female veterans and 4% to 8% of male veterans report clinically significant disordered eating behaviors, especially binge eating. One study found that 78% of 45,477 overweight or obese veterans receiving care in VA facilities reported clinically significant binge eating. In a 2021 study, 254 veterans presenting for routine clinical care completed self‐report questionnaires assessing eating disorders, PTSD, depression, and shame, and 31% met probable criteria for bulimia nervosa, binge‐eating disorder, or purging disorder.
According to a 2023 study, eating disturbances that do not meet diagnostic criteria for a formal disorder can be problematic and may function as coping strategies for some facets of military life. The VASHCS researchers found that interventions focused on PAWB, such as acceptance and commitment therapy or compassion-focused therapy, may have potential as a protective factor. Including components that foster hope, optimism, and personal strength may positively mitigate the relationship between PTSD and eating disturbances. PAWB was significantly correlated with eating disturbances; individuals with a lifetime PTSD diagnosis reported significantly lower PAWB than those without.
Interventions grounded in positive psychology have shown promise. A group-based program found “noticeable” (although nonsignificant) improvements in optimistic thinking and treatment engagement. The study also cites that clinicians are beginning to incorporate positive psychology strategies (eg, gratitude journaling, goal setting, and “best possible self” visualization) as adjuncts to traditional treatments. Positive psychology, they write, holds “significant promise as a complementary approach to enhance recovery outcomes in both PTSD and eating disorders.”
Military culture may hold 2 salient risk factors for eating disorders: exposure to trauma and body condition standards. A recent study from the US Department of Veteran Affairs (VA) Salisbury Health Care System (VASHCS) found that veterans with posttraumatic stress disorder (PTSD) are more likely to report eating disturbances—particularly issues related to body dissatisfaction and dissatisfaction with eating habits. A 2019 study found that one-third of veterans who were overweight or obese screened positive for engaging in “making weight” behaviors during military service, or unhealthy weight control strategies. Frequently reported weight management behavior was excessive exercise, fasting/skipping meals, sitting in a sauna/wearing a latex suit, laxatives, diuretics, and vomiting.
Service members who are “normal” weight by civilian standards may be labeled “overweight” by the military. In a March 12 memo, Secretary of Defense Pete Hegseth ordered a US Department of Defense review of existing standards for physical fitness, body composition, and grooming. “Our troops will be fit — not fat. Our troops will look sharp — not sloppy. We seek only quality — not quotas. BOTTOM LINE: our @DeptofDefense will make standards HIGH & GREAT again — across the entire force,” he posted on X.
The desire to control weight to fit military standards, however, isn’t the only risk factor. Researchers at VASHCS surveyed 527 post-9/11 veterans (80.7% male) who typically deployed 1 or 2 times. All participants completed the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; the Neuro-Quality of Life in Neurological Disorders Positive Affect and Well-Being Scale (PAWB); and the Eating Disturbances Scale.
Nearly half (46%) of the sample met diagnostic criteria for a lifetime PTSD diagnosis. The study also reported significantly greater eating disturbances in veterans with a lifetime PTSD diagnosis than those without. Women reported significantly greater eating disturbances than men.
Most participants (80%) reported some level of dissatisfaction with their eating disturbances and 74% of participants reported feeling as if they were too fat.
Eating disturbances include refusing food, overexercising, overeating, and misusing laxatives or diuretic pills. Previous research that suggest that 10% to 15% of female veterans and 4% to 8% of male veterans report clinically significant disordered eating behaviors, especially binge eating. One study found that 78% of 45,477 overweight or obese veterans receiving care in VA facilities reported clinically significant binge eating. In a 2021 study, 254 veterans presenting for routine clinical care completed self‐report questionnaires assessing eating disorders, PTSD, depression, and shame, and 31% met probable criteria for bulimia nervosa, binge‐eating disorder, or purging disorder.
According to a 2023 study, eating disturbances that do not meet diagnostic criteria for a formal disorder can be problematic and may function as coping strategies for some facets of military life. The VASHCS researchers found that interventions focused on PAWB, such as acceptance and commitment therapy or compassion-focused therapy, may have potential as a protective factor. Including components that foster hope, optimism, and personal strength may positively mitigate the relationship between PTSD and eating disturbances. PAWB was significantly correlated with eating disturbances; individuals with a lifetime PTSD diagnosis reported significantly lower PAWB than those without.
Interventions grounded in positive psychology have shown promise. A group-based program found “noticeable” (although nonsignificant) improvements in optimistic thinking and treatment engagement. The study also cites that clinicians are beginning to incorporate positive psychology strategies (eg, gratitude journaling, goal setting, and “best possible self” visualization) as adjuncts to traditional treatments. Positive psychology, they write, holds “significant promise as a complementary approach to enhance recovery outcomes in both PTSD and eating disorders.”
Military culture may hold 2 salient risk factors for eating disorders: exposure to trauma and body condition standards. A recent study from the US Department of Veteran Affairs (VA) Salisbury Health Care System (VASHCS) found that veterans with posttraumatic stress disorder (PTSD) are more likely to report eating disturbances—particularly issues related to body dissatisfaction and dissatisfaction with eating habits. A 2019 study found that one-third of veterans who were overweight or obese screened positive for engaging in “making weight” behaviors during military service, or unhealthy weight control strategies. Frequently reported weight management behavior was excessive exercise, fasting/skipping meals, sitting in a sauna/wearing a latex suit, laxatives, diuretics, and vomiting.
Service members who are “normal” weight by civilian standards may be labeled “overweight” by the military. In a March 12 memo, Secretary of Defense Pete Hegseth ordered a US Department of Defense review of existing standards for physical fitness, body composition, and grooming. “Our troops will be fit — not fat. Our troops will look sharp — not sloppy. We seek only quality — not quotas. BOTTOM LINE: our @DeptofDefense will make standards HIGH & GREAT again — across the entire force,” he posted on X.
The desire to control weight to fit military standards, however, isn’t the only risk factor. Researchers at VASHCS surveyed 527 post-9/11 veterans (80.7% male) who typically deployed 1 or 2 times. All participants completed the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; the Neuro-Quality of Life in Neurological Disorders Positive Affect and Well-Being Scale (PAWB); and the Eating Disturbances Scale.
Nearly half (46%) of the sample met diagnostic criteria for a lifetime PTSD diagnosis. The study also reported significantly greater eating disturbances in veterans with a lifetime PTSD diagnosis than those without. Women reported significantly greater eating disturbances than men.
Most participants (80%) reported some level of dissatisfaction with their eating disturbances and 74% of participants reported feeling as if they were too fat.
Eating disturbances include refusing food, overexercising, overeating, and misusing laxatives or diuretic pills. Previous research that suggest that 10% to 15% of female veterans and 4% to 8% of male veterans report clinically significant disordered eating behaviors, especially binge eating. One study found that 78% of 45,477 overweight or obese veterans receiving care in VA facilities reported clinically significant binge eating. In a 2021 study, 254 veterans presenting for routine clinical care completed self‐report questionnaires assessing eating disorders, PTSD, depression, and shame, and 31% met probable criteria for bulimia nervosa, binge‐eating disorder, or purging disorder.
According to a 2023 study, eating disturbances that do not meet diagnostic criteria for a formal disorder can be problematic and may function as coping strategies for some facets of military life. The VASHCS researchers found that interventions focused on PAWB, such as acceptance and commitment therapy or compassion-focused therapy, may have potential as a protective factor. Including components that foster hope, optimism, and personal strength may positively mitigate the relationship between PTSD and eating disturbances. PAWB was significantly correlated with eating disturbances; individuals with a lifetime PTSD diagnosis reported significantly lower PAWB than those without.
Interventions grounded in positive psychology have shown promise. A group-based program found “noticeable” (although nonsignificant) improvements in optimistic thinking and treatment engagement. The study also cites that clinicians are beginning to incorporate positive psychology strategies (eg, gratitude journaling, goal setting, and “best possible self” visualization) as adjuncts to traditional treatments. Positive psychology, they write, holds “significant promise as a complementary approach to enhance recovery outcomes in both PTSD and eating disorders.”
Quality of Life for Males With Abdominal Aortic Aneurysm
Quality of Life for Males With Abdominal Aortic Aneurysm
Abdominal aortic aneurysm (AAA) is a public health threat, with a global prevalence of 4.8% and a prevalence in males that increases with age, from 1.3% between ages 45 and 54 years to 12.5% between ages 75 and 84 years.1 AAA is often asymptomatic until it ruptures and can become life-threatening, with mortality rates near 90% in the event of rupture with survival rates of about 50% to 70% for individuals with rupture who require urgent surgical intervention.2,3 Males experience AAA at 4 times the rate of females.4
Previous research has found that the awareness of having an AAA causes anxiety that some have described as “living with a ticking time bomb.”5 Others reported worries and concerns about life’s fragility and mortality due to an AAA diagnosis.6 However, the psychological impact on the individuals’ quality of life (QoL) remains unclear, especially for individuals with a small AAA (< 5.5 cm).7 Factors such as age, male sex, smoking, family history, hypertension, carotid artery disease, and hypercholesterolemia have been strongly associated with increased growth rate and the risk of small AAA ruptures.8,9
Most patients with a small AAA enter surveillance awaiting future repair and not only have the anxiety of living with an AAA despite the low risk of rupture, but also a worse QoL than those who have undergone repair.10,11 However, data are sparse regarding the effects on QoL of knowing they have an AAA, whether repaired or not. This study sought to examine the impact an AAA diagnosis had on male QoL at the initial investigation and after 12 months.
Methods
This prospective study was examined and approved by the Veterans Affairs Northern California Health Care System (NCHCS) Institutional Review Board. It was conducted at the Sacramento US Department of Veterans Affairs (VA) Medical Center from January 1, 2019, to February 28, 2022. Patients were identified through the vascular clinic. One hundred sixteen patients with AAA were eligible and agreed to participate. Of these, 91 (78%) completed the survey at baseline and 12 months later. Participation was voluntary; written informed consent was obtained from every patient before completing the survey. This study included only male patients due to their higher prevalence than female patients.4 Patients were also eligible if they were aged > 18 years and had a previously known AAA that was being followed with a recorded clinical imaging study in the NCHCS vascular clinic. Patients were excluded if they were unable to return for their 12-month follow-up investigation, were incapable of giving informed consent, were unable to complete the 12-item short form health survey version 2 (SF-12v2), had a documented history of psychiatric illness, or refused to participate. The SF-12v2, an abbreviated version of the 36-item short form health survey (SF-36), is a generic health-related quality-of-life survey that measures 8 domains of general health status: general health (GH), physical functioning (PF), role limitations due to physical problems (RP), bodily pain (BP), vitality (VT), social functioning (SF), role emotional (RE), and mental health (MH). A higher number on the QoL scale indicates better QoL. The GH, PF, RP, and BP scales yield a physical component score (PCS), and the VT, SF, RE, and MH scales generate a mental component score (MCS). Although SF-12v2 has not been validated for patients with AAA, it has been widely used and validated to measure health-related QoL in cohorts of healthy and chronically ill individuals.12,13
Analysis
Descriptive statistics, including means, SDs, frequency, percentages, 95% CIs, and correlations were calculated. The t test was used to analyze differences in mean scores. For continuous variables, such as SF-12v2 domains, PCS, and MCS, mean, SD, 95% CI, and range were determined. Comparisons were performed using X2 or t test. P < .05 was considered statistically significant. Clinical risk factors, including age, race, body mass index (BMI), diabetes, hypertension, hyperlipidemia, coronary artery disease, cerebrovascular accident, myocardial infarction, and smoking status, were also recorded.
Results
Between January 1, 2019, and February 28, 2022, 91 patients were diagnosed with an AAA and completed the survey at the initial and 12-month investigations. Patients had a mean (SD) age of 76.0 (5.6) years (range, 64-93) and BMI of 29.7 (6.4). Comorbid diabetes was present in 31% of patients, hypertension in 75%, hyperlipidemia 66%, and coronary artery disease in 12% (Table 1). Most patients smoked tobacco: 71% indicated previous use and 22% were current users.

When comparing baseline vs 12-month follow-up, patients indicated a higher QoL in GH (3.2 vs 3.5, respectively; P < .05) and BP (3.1 vs 3.6, respectively; P < .05). No statistically significant difference was seen PF, RP, VT, SF, RE, MH, as well as PCS and MCS between baseline and follow-up with respect to QoL (P < .05). However, the 5 domains of SF-12v2: PF, RP, SF, RE, MH, and PCS had lower QoL scores at the 12-month follow-up when compared with baseline, but with no statistically significant difference between both investigations (Table 2).

Discussion
Previous studies have characterized the results of QoL measures as subjective because they are based on patient perceptions of their physical and psychological condition.14,15 However, SF-36 and SF-12v2 responses provide a multifaceted account that encompasses the physical, psychological, and social aspects of QoL. Despite being the most widely used generic instrument in many fields of medicine, SF-36 is time consuming for clinicians who may prefer simpler and more time-efficient instruments.16-18 The SF-12v2 not only imposes less burden on respondents but also generates accurate summary scores for patients physical and mental health.19
The replicability of SF-12v2 PCS and MCS scores has been demonstrated. In the United Kingdom, Jenkinson and Layte constructed SF-12v2 summary measures from a large scale dataset by sending the SF-36 and other questions on health and lifestyles to 9332 individuals and compared the results of the SF-36 and SF-12v2 across diverse patient groups (eg, Parkinson disease, congestive heart failure, sleep apnea, benign prostatic hypertrophy). Results from SF-36 PCS, SF-36 MCS, and PCS-12v2 (ρ, 0.94; P < .001) and SF-12v2 MCS (ρ, 0.96; P < .001) were found to be highly correlated, and also produced similar results, both in the community sample and across a variety of disease-specific groups.20
The aim of this longitudinal observational study was to measure the QoL of males with an AAA ≥ 3.0 cm at baseline and 12 months later. The mean age of participants was 76 years, which aligns with previous research that found the prevalence of AAAs increased with age.1 Study participants had a mean BMI of 29.7, which also supports previous research that indicated that obesity is independently associated with an AAA.21 Patients with an AAA and a history of smoking (former or current), hypertension, or hyperlipidemia had lower mean scores for 3 of 8 SF-12v2 domains at the 12-month follow-up.
These findings support previous research that indicated smoking is not only a very strong risk factor for the presence of an AAA but also associated with increased rates of expansion and the risk of rupture in patients with an AAA.22 Bath et al found that patients with an AAA compared to patients without an AAA were older (age 72.6 vs 69.8 years; P < .001), had a higher BMI (28.1 vs 27.0; P < .001), were more likely to be a current smoker (15.1% vs 5.2%; P < .001), and were more likely to have diabetes (18.8% vs 10.0%; P < .001), ischemic heart disease (12.2% vs 4.4%; P < .001), high cholesterol (53.2% vs 30.8%; P <. 001), previous stroke (6.1% vs 2.9%; P < .001), and a previous myocardial infarction (21.1% vs 5.8%; P < .001).23 Lesjak et al found that men with AAA reported significantly lower scores in the domains of social functioning, pain, and general health 6 months after ultrasound compared with men without AAA.24
Previous research indicates that patients with an AAA have a higher risk of cardiovascular diseases and comorbidities that may impact their perceived QoL. In a study assessing cardiovascular risk in 2323 patients with a small AAA, Bath et al found a high prevalence of coronary artery disease (44.9%), myocardial infarction (26.8%), heart failure (4.4%) and cerebrovascular accident (14.0%) which may have contributed to the decreased level of self-perceived QoL in these patients.25
This aligned with a study by Golledge et al, who found that participants diagnosed with an AAA and peripheral artery disease not only had significantly poorer QoL scores in 5 SF-36 domains (PF, RP, GH, VT, and PCS)when compared with participants diagnosed with an AAA alone. They also had significantly poorer QoL scores in 7 domains of the SF-36 (PF, RP, GH, VT, SF, RE, and PCS) when compared with controls without an AAA.26
Our analysis found that males with an AAA had a rise in SF-12v2 QoL scores from baseline to 12-month follow-up in the GH and BP domains. There was no statistically significant difference in QoL in the other 6 domains (PF, RP, VT, SF, RE, and MH) between the initial and 12-month investigations. Bath et al also found that men with an AAA had a transient reduction in mental QoL during the first year after the initial screening but returned to baseline.23
Strengths and Limitations
This study is notable for its sample of patients who previously had a diagnosed AAA that were followed with a recorded clinical imaging study and the use of a validated QoL measure (SF-12v2) that provided virtually identical summary scores (PCS and MCS) as the SF-36.27 However, this study was limited by the brevity of the SF-12v2 instrument which made it difficult to extract sufficient reliable information for the 8 domains.28 Subjective perception of patients is another limitation inherent to any QoL study. QoL scores were not available before the initial investigation. Measuring QoL at baseline and 12 months later does not capture the potential fluctuations and changes in QoL that the patient may experience some months later. Another limitation arises from the fact that the AAA patient population in the study included patients under surveillance and patients who had undergone repair.
Fourteen patients (15%) had received AAA repair: 10 had endovascular reconstruction and 4 had open surgical repair. Including patients with a previous AAA repair may have influenced reported QoL levels. Suckow et al performed a 2-phase study on 1008 patients, 351 (35%) were under surveillance and 657 (65%) had undergone repair. In that study, patients under AAA surveillance had worse emotional impact scores compared with patients with repair (22 vs 13; P < .001).11 Additionally, the size of the abdominal aorta at the time of survey was not addressed in the study, which could constitute explanatory variables.
Conclusions
This study found higher QoL at 12-month follow-up compared to baseline in both the GH and BP domains of the SF-12v2 health survey for male veterans with an AAA. Periodic QoL assessments for patients with an AAA may be helpful in tracking QoL course, minimizing their physical and psychological concerns, and improving overall care and support. However, further research is necessary to assess the QoL of patients with an AAA who are under surveillance compared with those who had an aneurysm repair to accurately measure the impact of an AAA on QoL.
- Altobelli E, Rapacchietta L, Profeta VF, et al. Risk factors for abdominal aortic aneurysm in population- based studies: a systematic review and meta-analysis. Int J Environ Res Public Health. 2018;15:2805. doi:10.3390/ijerph15122805
- Chaikof EL, Dalman RL, Eskandari MK, et al. The society for vascular surgery practice guidelines on the care of patients with an abdominal aortic aneurysm. J Vasc Surg. 2018;67:2-77.e2. doi:10.1016/j.jvs.2017.10.044
- Kent KC. Abdominal aortic aneurysms. N Engl J Med. 2014;371:2101-2108. doi:10.1056/NEJMcp1401430
- Harthun NL. Current issues in the treatment of women with abdominal aortic aneurysm. Gend Med. 2008;5:36-43.
- Aoki H. Taking control of the time bomb in abdominal aortic aneurysm. Circ J. 2016;80:314-315. doi:10.1253/circj.CJ-15-1350
- Damhus CS, Siersma V, Hansson A, Bang CW, Brodersen J. Psychosocial consequences of screeningdetected abdominal aortic aneurisms: a cross-sectional study. Scand J Prim Health Care. 2021;39:459-465. doi:10.1080/02813432.2021.2004713
- Ericsson A, Kumlien C, Ching S, Carlson E, Molassiotis A. Impact on quality of life of men with screening-detected abdominal aortic aneurysms attending regular follow ups: a narrative literature review. Eur J Vasc Endovasc Surg. 2019;57:589-596. doi:10.1016/j.ejvs.2018.10.012
- Galyfos G, Voulalas G, Stamatatos I, et al. Small abdominal aortic aneurysms: should we wait? Vasc Dis Manag. 2015;12:E152-E159.
- Kristensen KL, Dahl M, Rasmussen LM, et al. Glycated hemoglobin is associated with the growth rate of abdominal aortic aneurysms. Arterioscler Thromb Vasc Biol. 2017;37:730-736. doi:10.1161/ATVBAHA.116.308874
- Xiao-Yan L, Yu-Kui M, Li-Hui L. Risk factors for preoperative anxiety and depression in patients scheduled for abdominal aortic aneurysm repair. Chine Med J. 2018;131:1951-1957. doi:10.4103/0366-6999.238154
- Suckow BD, Schanzer AS, Hoel AW, et al. A novel quality of life instrument for patients with an abdominal aortic aneurysm. Eur J Vasc Endovasc Surg. 2019;57:809-815. doi:10.1016/j.ejvs.2019.01.018
- Flatz A, Casillas A, Stringhini S, et al. Association between education and quality of diabetes care in Switzerland. Int J Gen Med. 2015;8:87-92. doi:10.2147/IJGM.S77139
- Christensen AV, Bjorner JB, Ekholm O, et al. Increased risk of mortality and readmission associated with lower SF-12 scores in cardiac patients: Results from the national DenHeart study. Eur J Cardiovasc Nurs. 2020;19:330-338. doi:10.1177/1474515119885480
- Hamming JF, De Vries J. Measuring quality of life. Br J Surg. 2007;94:923-924. doi:10.1002/bjs.5948
- Urbach DR. Measuring quality of life after surgery. Surg Innov. 2005;12:161-165. doi:10.1177/ 155335060501200216
- Gandek B, Sinclair SJ, Kosinski M, et al. Psychometric evaluation of the SF-36® health survey in medicare managed care. Health Care Financ Rev. 2004;25:5.
- Ware JE, Sherbourne CD. The MOS 36-item short form health survey (SF-36). Med Care. 1992;30:473-483. doi:10.1097/00005650-199206000-00002
- Takayoshi K, Mototsugu T, Tomohiro T, et al. Health-related quality of life prospectively evaluated by the 8-item short form after endovascular repair versus open surgery for abdominal aortic aneurysms. Heart Vessels. 2017;32:960- 968. doi:10.1007/s00380-017-0956-9
- Pickard AS, Johnson JA, Penn A, et al. Replicability of SF-36 summary scores by the SF-12 in stroke patients. Stroke. 1999;30:1213-1217. doi:10.1161/01.str.30.6.1213
- Jenkinson C, Layte R. The development and testing of the UK SF-12. J Health Serv Res Policy. 1997;2:14-18. doi:10.1177/135581969700200105
- Golledge J, Clancy P, Jamrozik K, et al. Obesity, adipokines, and abdominal aortic aneurysm: Health in Men study. Circulation. 2007;116:2275-2279. doi:10.1161/CIRCULATIONAHA.107.717926
- Norman PE, Curci JA. Understanding the effects of tobacco smoke on the pathogenesis of aortic aneurysm. Arterioscler Thromb Vasc Biol. 2013;33:1473-1477. doi:10.1161/ATVBAHA.112.300158
- Bath MF, Sidloff D, Saratzis A, et al. Impact of abdominal aortic aneurysm screening on quality of life. BJS. 2018;105:203-208. doi:10.1002/bjs.10721
- Lesjak M, Boreland F, Lyle D, Sidford J, Flecknoe-Brown S, Fletcher J. Screening for abdominal aortic aneurysm: does it affect men’s quality of life? Aust J Prim Health. 2012;18:284-288. doi:10.1071/PY11131
- Bath MF, Gokani VJ, Sidloff DA, et al. Systematic review of cardiovascular disease and cardiovascular death in patients with a small abdominal aortic aneurysm. Br J Surg. 2015;102:866-872. doi:10.1002/bjs.9837
- Golledge J, Pinchbeck J, Rowbotham SE, et al. Health-related quality of life amongst people diagnosed with abdominal aortic aneurysm and peripheral artery disease and the effect of fenofibrate. Sci Rep. 2020;10:14583. doi:10.1038/s41598-020-71454-4
- Jenkinson C, Layte R, Jenkinson D. A shorter form health survey: can the SF-12 replicate results from the SF-36 in longitudinal studies? J Public Health Med. 1997;19:179- 186. doi:10.1093/oxfordjournals.pubmed.a024606
- White MK, Maher SM, Rizio AA, et al. A meta-analytic review of measurement equivalence study findings of the SF-36® and SF-12® Health Surveys across electronic modes compared to paper administration. Qual Life Res. 2018;27:1757-1767. doi:10.1007/s11136-018-1851-2
Abdominal aortic aneurysm (AAA) is a public health threat, with a global prevalence of 4.8% and a prevalence in males that increases with age, from 1.3% between ages 45 and 54 years to 12.5% between ages 75 and 84 years.1 AAA is often asymptomatic until it ruptures and can become life-threatening, with mortality rates near 90% in the event of rupture with survival rates of about 50% to 70% for individuals with rupture who require urgent surgical intervention.2,3 Males experience AAA at 4 times the rate of females.4
Previous research has found that the awareness of having an AAA causes anxiety that some have described as “living with a ticking time bomb.”5 Others reported worries and concerns about life’s fragility and mortality due to an AAA diagnosis.6 However, the psychological impact on the individuals’ quality of life (QoL) remains unclear, especially for individuals with a small AAA (< 5.5 cm).7 Factors such as age, male sex, smoking, family history, hypertension, carotid artery disease, and hypercholesterolemia have been strongly associated with increased growth rate and the risk of small AAA ruptures.8,9
Most patients with a small AAA enter surveillance awaiting future repair and not only have the anxiety of living with an AAA despite the low risk of rupture, but also a worse QoL than those who have undergone repair.10,11 However, data are sparse regarding the effects on QoL of knowing they have an AAA, whether repaired or not. This study sought to examine the impact an AAA diagnosis had on male QoL at the initial investigation and after 12 months.
Methods
This prospective study was examined and approved by the Veterans Affairs Northern California Health Care System (NCHCS) Institutional Review Board. It was conducted at the Sacramento US Department of Veterans Affairs (VA) Medical Center from January 1, 2019, to February 28, 2022. Patients were identified through the vascular clinic. One hundred sixteen patients with AAA were eligible and agreed to participate. Of these, 91 (78%) completed the survey at baseline and 12 months later. Participation was voluntary; written informed consent was obtained from every patient before completing the survey. This study included only male patients due to their higher prevalence than female patients.4 Patients were also eligible if they were aged > 18 years and had a previously known AAA that was being followed with a recorded clinical imaging study in the NCHCS vascular clinic. Patients were excluded if they were unable to return for their 12-month follow-up investigation, were incapable of giving informed consent, were unable to complete the 12-item short form health survey version 2 (SF-12v2), had a documented history of psychiatric illness, or refused to participate. The SF-12v2, an abbreviated version of the 36-item short form health survey (SF-36), is a generic health-related quality-of-life survey that measures 8 domains of general health status: general health (GH), physical functioning (PF), role limitations due to physical problems (RP), bodily pain (BP), vitality (VT), social functioning (SF), role emotional (RE), and mental health (MH). A higher number on the QoL scale indicates better QoL. The GH, PF, RP, and BP scales yield a physical component score (PCS), and the VT, SF, RE, and MH scales generate a mental component score (MCS). Although SF-12v2 has not been validated for patients with AAA, it has been widely used and validated to measure health-related QoL in cohorts of healthy and chronically ill individuals.12,13
Analysis
Descriptive statistics, including means, SDs, frequency, percentages, 95% CIs, and correlations were calculated. The t test was used to analyze differences in mean scores. For continuous variables, such as SF-12v2 domains, PCS, and MCS, mean, SD, 95% CI, and range were determined. Comparisons were performed using X2 or t test. P < .05 was considered statistically significant. Clinical risk factors, including age, race, body mass index (BMI), diabetes, hypertension, hyperlipidemia, coronary artery disease, cerebrovascular accident, myocardial infarction, and smoking status, were also recorded.
Results
Between January 1, 2019, and February 28, 2022, 91 patients were diagnosed with an AAA and completed the survey at the initial and 12-month investigations. Patients had a mean (SD) age of 76.0 (5.6) years (range, 64-93) and BMI of 29.7 (6.4). Comorbid diabetes was present in 31% of patients, hypertension in 75%, hyperlipidemia 66%, and coronary artery disease in 12% (Table 1). Most patients smoked tobacco: 71% indicated previous use and 22% were current users.

When comparing baseline vs 12-month follow-up, patients indicated a higher QoL in GH (3.2 vs 3.5, respectively; P < .05) and BP (3.1 vs 3.6, respectively; P < .05). No statistically significant difference was seen PF, RP, VT, SF, RE, MH, as well as PCS and MCS between baseline and follow-up with respect to QoL (P < .05). However, the 5 domains of SF-12v2: PF, RP, SF, RE, MH, and PCS had lower QoL scores at the 12-month follow-up when compared with baseline, but with no statistically significant difference between both investigations (Table 2).

Discussion
Previous studies have characterized the results of QoL measures as subjective because they are based on patient perceptions of their physical and psychological condition.14,15 However, SF-36 and SF-12v2 responses provide a multifaceted account that encompasses the physical, psychological, and social aspects of QoL. Despite being the most widely used generic instrument in many fields of medicine, SF-36 is time consuming for clinicians who may prefer simpler and more time-efficient instruments.16-18 The SF-12v2 not only imposes less burden on respondents but also generates accurate summary scores for patients physical and mental health.19
The replicability of SF-12v2 PCS and MCS scores has been demonstrated. In the United Kingdom, Jenkinson and Layte constructed SF-12v2 summary measures from a large scale dataset by sending the SF-36 and other questions on health and lifestyles to 9332 individuals and compared the results of the SF-36 and SF-12v2 across diverse patient groups (eg, Parkinson disease, congestive heart failure, sleep apnea, benign prostatic hypertrophy). Results from SF-36 PCS, SF-36 MCS, and PCS-12v2 (ρ, 0.94; P < .001) and SF-12v2 MCS (ρ, 0.96; P < .001) were found to be highly correlated, and also produced similar results, both in the community sample and across a variety of disease-specific groups.20
The aim of this longitudinal observational study was to measure the QoL of males with an AAA ≥ 3.0 cm at baseline and 12 months later. The mean age of participants was 76 years, which aligns with previous research that found the prevalence of AAAs increased with age.1 Study participants had a mean BMI of 29.7, which also supports previous research that indicated that obesity is independently associated with an AAA.21 Patients with an AAA and a history of smoking (former or current), hypertension, or hyperlipidemia had lower mean scores for 3 of 8 SF-12v2 domains at the 12-month follow-up.
These findings support previous research that indicated smoking is not only a very strong risk factor for the presence of an AAA but also associated with increased rates of expansion and the risk of rupture in patients with an AAA.22 Bath et al found that patients with an AAA compared to patients without an AAA were older (age 72.6 vs 69.8 years; P < .001), had a higher BMI (28.1 vs 27.0; P < .001), were more likely to be a current smoker (15.1% vs 5.2%; P < .001), and were more likely to have diabetes (18.8% vs 10.0%; P < .001), ischemic heart disease (12.2% vs 4.4%; P < .001), high cholesterol (53.2% vs 30.8%; P <. 001), previous stroke (6.1% vs 2.9%; P < .001), and a previous myocardial infarction (21.1% vs 5.8%; P < .001).23 Lesjak et al found that men with AAA reported significantly lower scores in the domains of social functioning, pain, and general health 6 months after ultrasound compared with men without AAA.24
Previous research indicates that patients with an AAA have a higher risk of cardiovascular diseases and comorbidities that may impact their perceived QoL. In a study assessing cardiovascular risk in 2323 patients with a small AAA, Bath et al found a high prevalence of coronary artery disease (44.9%), myocardial infarction (26.8%), heart failure (4.4%) and cerebrovascular accident (14.0%) which may have contributed to the decreased level of self-perceived QoL in these patients.25
This aligned with a study by Golledge et al, who found that participants diagnosed with an AAA and peripheral artery disease not only had significantly poorer QoL scores in 5 SF-36 domains (PF, RP, GH, VT, and PCS)when compared with participants diagnosed with an AAA alone. They also had significantly poorer QoL scores in 7 domains of the SF-36 (PF, RP, GH, VT, SF, RE, and PCS) when compared with controls without an AAA.26
Our analysis found that males with an AAA had a rise in SF-12v2 QoL scores from baseline to 12-month follow-up in the GH and BP domains. There was no statistically significant difference in QoL in the other 6 domains (PF, RP, VT, SF, RE, and MH) between the initial and 12-month investigations. Bath et al also found that men with an AAA had a transient reduction in mental QoL during the first year after the initial screening but returned to baseline.23
Strengths and Limitations
This study is notable for its sample of patients who previously had a diagnosed AAA that were followed with a recorded clinical imaging study and the use of a validated QoL measure (SF-12v2) that provided virtually identical summary scores (PCS and MCS) as the SF-36.27 However, this study was limited by the brevity of the SF-12v2 instrument which made it difficult to extract sufficient reliable information for the 8 domains.28 Subjective perception of patients is another limitation inherent to any QoL study. QoL scores were not available before the initial investigation. Measuring QoL at baseline and 12 months later does not capture the potential fluctuations and changes in QoL that the patient may experience some months later. Another limitation arises from the fact that the AAA patient population in the study included patients under surveillance and patients who had undergone repair.
Fourteen patients (15%) had received AAA repair: 10 had endovascular reconstruction and 4 had open surgical repair. Including patients with a previous AAA repair may have influenced reported QoL levels. Suckow et al performed a 2-phase study on 1008 patients, 351 (35%) were under surveillance and 657 (65%) had undergone repair. In that study, patients under AAA surveillance had worse emotional impact scores compared with patients with repair (22 vs 13; P < .001).11 Additionally, the size of the abdominal aorta at the time of survey was not addressed in the study, which could constitute explanatory variables.
Conclusions
This study found higher QoL at 12-month follow-up compared to baseline in both the GH and BP domains of the SF-12v2 health survey for male veterans with an AAA. Periodic QoL assessments for patients with an AAA may be helpful in tracking QoL course, minimizing their physical and psychological concerns, and improving overall care and support. However, further research is necessary to assess the QoL of patients with an AAA who are under surveillance compared with those who had an aneurysm repair to accurately measure the impact of an AAA on QoL.
Abdominal aortic aneurysm (AAA) is a public health threat, with a global prevalence of 4.8% and a prevalence in males that increases with age, from 1.3% between ages 45 and 54 years to 12.5% between ages 75 and 84 years.1 AAA is often asymptomatic until it ruptures and can become life-threatening, with mortality rates near 90% in the event of rupture with survival rates of about 50% to 70% for individuals with rupture who require urgent surgical intervention.2,3 Males experience AAA at 4 times the rate of females.4
Previous research has found that the awareness of having an AAA causes anxiety that some have described as “living with a ticking time bomb.”5 Others reported worries and concerns about life’s fragility and mortality due to an AAA diagnosis.6 However, the psychological impact on the individuals’ quality of life (QoL) remains unclear, especially for individuals with a small AAA (< 5.5 cm).7 Factors such as age, male sex, smoking, family history, hypertension, carotid artery disease, and hypercholesterolemia have been strongly associated with increased growth rate and the risk of small AAA ruptures.8,9
Most patients with a small AAA enter surveillance awaiting future repair and not only have the anxiety of living with an AAA despite the low risk of rupture, but also a worse QoL than those who have undergone repair.10,11 However, data are sparse regarding the effects on QoL of knowing they have an AAA, whether repaired or not. This study sought to examine the impact an AAA diagnosis had on male QoL at the initial investigation and after 12 months.
Methods
This prospective study was examined and approved by the Veterans Affairs Northern California Health Care System (NCHCS) Institutional Review Board. It was conducted at the Sacramento US Department of Veterans Affairs (VA) Medical Center from January 1, 2019, to February 28, 2022. Patients were identified through the vascular clinic. One hundred sixteen patients with AAA were eligible and agreed to participate. Of these, 91 (78%) completed the survey at baseline and 12 months later. Participation was voluntary; written informed consent was obtained from every patient before completing the survey. This study included only male patients due to their higher prevalence than female patients.4 Patients were also eligible if they were aged > 18 years and had a previously known AAA that was being followed with a recorded clinical imaging study in the NCHCS vascular clinic. Patients were excluded if they were unable to return for their 12-month follow-up investigation, were incapable of giving informed consent, were unable to complete the 12-item short form health survey version 2 (SF-12v2), had a documented history of psychiatric illness, or refused to participate. The SF-12v2, an abbreviated version of the 36-item short form health survey (SF-36), is a generic health-related quality-of-life survey that measures 8 domains of general health status: general health (GH), physical functioning (PF), role limitations due to physical problems (RP), bodily pain (BP), vitality (VT), social functioning (SF), role emotional (RE), and mental health (MH). A higher number on the QoL scale indicates better QoL. The GH, PF, RP, and BP scales yield a physical component score (PCS), and the VT, SF, RE, and MH scales generate a mental component score (MCS). Although SF-12v2 has not been validated for patients with AAA, it has been widely used and validated to measure health-related QoL in cohorts of healthy and chronically ill individuals.12,13
Analysis
Descriptive statistics, including means, SDs, frequency, percentages, 95% CIs, and correlations were calculated. The t test was used to analyze differences in mean scores. For continuous variables, such as SF-12v2 domains, PCS, and MCS, mean, SD, 95% CI, and range were determined. Comparisons were performed using X2 or t test. P < .05 was considered statistically significant. Clinical risk factors, including age, race, body mass index (BMI), diabetes, hypertension, hyperlipidemia, coronary artery disease, cerebrovascular accident, myocardial infarction, and smoking status, were also recorded.
Results
Between January 1, 2019, and February 28, 2022, 91 patients were diagnosed with an AAA and completed the survey at the initial and 12-month investigations. Patients had a mean (SD) age of 76.0 (5.6) years (range, 64-93) and BMI of 29.7 (6.4). Comorbid diabetes was present in 31% of patients, hypertension in 75%, hyperlipidemia 66%, and coronary artery disease in 12% (Table 1). Most patients smoked tobacco: 71% indicated previous use and 22% were current users.

When comparing baseline vs 12-month follow-up, patients indicated a higher QoL in GH (3.2 vs 3.5, respectively; P < .05) and BP (3.1 vs 3.6, respectively; P < .05). No statistically significant difference was seen PF, RP, VT, SF, RE, MH, as well as PCS and MCS between baseline and follow-up with respect to QoL (P < .05). However, the 5 domains of SF-12v2: PF, RP, SF, RE, MH, and PCS had lower QoL scores at the 12-month follow-up when compared with baseline, but with no statistically significant difference between both investigations (Table 2).

Discussion
Previous studies have characterized the results of QoL measures as subjective because they are based on patient perceptions of their physical and psychological condition.14,15 However, SF-36 and SF-12v2 responses provide a multifaceted account that encompasses the physical, psychological, and social aspects of QoL. Despite being the most widely used generic instrument in many fields of medicine, SF-36 is time consuming for clinicians who may prefer simpler and more time-efficient instruments.16-18 The SF-12v2 not only imposes less burden on respondents but also generates accurate summary scores for patients physical and mental health.19
The replicability of SF-12v2 PCS and MCS scores has been demonstrated. In the United Kingdom, Jenkinson and Layte constructed SF-12v2 summary measures from a large scale dataset by sending the SF-36 and other questions on health and lifestyles to 9332 individuals and compared the results of the SF-36 and SF-12v2 across diverse patient groups (eg, Parkinson disease, congestive heart failure, sleep apnea, benign prostatic hypertrophy). Results from SF-36 PCS, SF-36 MCS, and PCS-12v2 (ρ, 0.94; P < .001) and SF-12v2 MCS (ρ, 0.96; P < .001) were found to be highly correlated, and also produced similar results, both in the community sample and across a variety of disease-specific groups.20
The aim of this longitudinal observational study was to measure the QoL of males with an AAA ≥ 3.0 cm at baseline and 12 months later. The mean age of participants was 76 years, which aligns with previous research that found the prevalence of AAAs increased with age.1 Study participants had a mean BMI of 29.7, which also supports previous research that indicated that obesity is independently associated with an AAA.21 Patients with an AAA and a history of smoking (former or current), hypertension, or hyperlipidemia had lower mean scores for 3 of 8 SF-12v2 domains at the 12-month follow-up.
These findings support previous research that indicated smoking is not only a very strong risk factor for the presence of an AAA but also associated with increased rates of expansion and the risk of rupture in patients with an AAA.22 Bath et al found that patients with an AAA compared to patients without an AAA were older (age 72.6 vs 69.8 years; P < .001), had a higher BMI (28.1 vs 27.0; P < .001), were more likely to be a current smoker (15.1% vs 5.2%; P < .001), and were more likely to have diabetes (18.8% vs 10.0%; P < .001), ischemic heart disease (12.2% vs 4.4%; P < .001), high cholesterol (53.2% vs 30.8%; P <. 001), previous stroke (6.1% vs 2.9%; P < .001), and a previous myocardial infarction (21.1% vs 5.8%; P < .001).23 Lesjak et al found that men with AAA reported significantly lower scores in the domains of social functioning, pain, and general health 6 months after ultrasound compared with men without AAA.24
Previous research indicates that patients with an AAA have a higher risk of cardiovascular diseases and comorbidities that may impact their perceived QoL. In a study assessing cardiovascular risk in 2323 patients with a small AAA, Bath et al found a high prevalence of coronary artery disease (44.9%), myocardial infarction (26.8%), heart failure (4.4%) and cerebrovascular accident (14.0%) which may have contributed to the decreased level of self-perceived QoL in these patients.25
This aligned with a study by Golledge et al, who found that participants diagnosed with an AAA and peripheral artery disease not only had significantly poorer QoL scores in 5 SF-36 domains (PF, RP, GH, VT, and PCS)when compared with participants diagnosed with an AAA alone. They also had significantly poorer QoL scores in 7 domains of the SF-36 (PF, RP, GH, VT, SF, RE, and PCS) when compared with controls without an AAA.26
Our analysis found that males with an AAA had a rise in SF-12v2 QoL scores from baseline to 12-month follow-up in the GH and BP domains. There was no statistically significant difference in QoL in the other 6 domains (PF, RP, VT, SF, RE, and MH) between the initial and 12-month investigations. Bath et al also found that men with an AAA had a transient reduction in mental QoL during the first year after the initial screening but returned to baseline.23
Strengths and Limitations
This study is notable for its sample of patients who previously had a diagnosed AAA that were followed with a recorded clinical imaging study and the use of a validated QoL measure (SF-12v2) that provided virtually identical summary scores (PCS and MCS) as the SF-36.27 However, this study was limited by the brevity of the SF-12v2 instrument which made it difficult to extract sufficient reliable information for the 8 domains.28 Subjective perception of patients is another limitation inherent to any QoL study. QoL scores were not available before the initial investigation. Measuring QoL at baseline and 12 months later does not capture the potential fluctuations and changes in QoL that the patient may experience some months later. Another limitation arises from the fact that the AAA patient population in the study included patients under surveillance and patients who had undergone repair.
Fourteen patients (15%) had received AAA repair: 10 had endovascular reconstruction and 4 had open surgical repair. Including patients with a previous AAA repair may have influenced reported QoL levels. Suckow et al performed a 2-phase study on 1008 patients, 351 (35%) were under surveillance and 657 (65%) had undergone repair. In that study, patients under AAA surveillance had worse emotional impact scores compared with patients with repair (22 vs 13; P < .001).11 Additionally, the size of the abdominal aorta at the time of survey was not addressed in the study, which could constitute explanatory variables.
Conclusions
This study found higher QoL at 12-month follow-up compared to baseline in both the GH and BP domains of the SF-12v2 health survey for male veterans with an AAA. Periodic QoL assessments for patients with an AAA may be helpful in tracking QoL course, minimizing their physical and psychological concerns, and improving overall care and support. However, further research is necessary to assess the QoL of patients with an AAA who are under surveillance compared with those who had an aneurysm repair to accurately measure the impact of an AAA on QoL.
- Altobelli E, Rapacchietta L, Profeta VF, et al. Risk factors for abdominal aortic aneurysm in population- based studies: a systematic review and meta-analysis. Int J Environ Res Public Health. 2018;15:2805. doi:10.3390/ijerph15122805
- Chaikof EL, Dalman RL, Eskandari MK, et al. The society for vascular surgery practice guidelines on the care of patients with an abdominal aortic aneurysm. J Vasc Surg. 2018;67:2-77.e2. doi:10.1016/j.jvs.2017.10.044
- Kent KC. Abdominal aortic aneurysms. N Engl J Med. 2014;371:2101-2108. doi:10.1056/NEJMcp1401430
- Harthun NL. Current issues in the treatment of women with abdominal aortic aneurysm. Gend Med. 2008;5:36-43.
- Aoki H. Taking control of the time bomb in abdominal aortic aneurysm. Circ J. 2016;80:314-315. doi:10.1253/circj.CJ-15-1350
- Damhus CS, Siersma V, Hansson A, Bang CW, Brodersen J. Psychosocial consequences of screeningdetected abdominal aortic aneurisms: a cross-sectional study. Scand J Prim Health Care. 2021;39:459-465. doi:10.1080/02813432.2021.2004713
- Ericsson A, Kumlien C, Ching S, Carlson E, Molassiotis A. Impact on quality of life of men with screening-detected abdominal aortic aneurysms attending regular follow ups: a narrative literature review. Eur J Vasc Endovasc Surg. 2019;57:589-596. doi:10.1016/j.ejvs.2018.10.012
- Galyfos G, Voulalas G, Stamatatos I, et al. Small abdominal aortic aneurysms: should we wait? Vasc Dis Manag. 2015;12:E152-E159.
- Kristensen KL, Dahl M, Rasmussen LM, et al. Glycated hemoglobin is associated with the growth rate of abdominal aortic aneurysms. Arterioscler Thromb Vasc Biol. 2017;37:730-736. doi:10.1161/ATVBAHA.116.308874
- Xiao-Yan L, Yu-Kui M, Li-Hui L. Risk factors for preoperative anxiety and depression in patients scheduled for abdominal aortic aneurysm repair. Chine Med J. 2018;131:1951-1957. doi:10.4103/0366-6999.238154
- Suckow BD, Schanzer AS, Hoel AW, et al. A novel quality of life instrument for patients with an abdominal aortic aneurysm. Eur J Vasc Endovasc Surg. 2019;57:809-815. doi:10.1016/j.ejvs.2019.01.018
- Flatz A, Casillas A, Stringhini S, et al. Association between education and quality of diabetes care in Switzerland. Int J Gen Med. 2015;8:87-92. doi:10.2147/IJGM.S77139
- Christensen AV, Bjorner JB, Ekholm O, et al. Increased risk of mortality and readmission associated with lower SF-12 scores in cardiac patients: Results from the national DenHeart study. Eur J Cardiovasc Nurs. 2020;19:330-338. doi:10.1177/1474515119885480
- Hamming JF, De Vries J. Measuring quality of life. Br J Surg. 2007;94:923-924. doi:10.1002/bjs.5948
- Urbach DR. Measuring quality of life after surgery. Surg Innov. 2005;12:161-165. doi:10.1177/ 155335060501200216
- Gandek B, Sinclair SJ, Kosinski M, et al. Psychometric evaluation of the SF-36® health survey in medicare managed care. Health Care Financ Rev. 2004;25:5.
- Ware JE, Sherbourne CD. The MOS 36-item short form health survey (SF-36). Med Care. 1992;30:473-483. doi:10.1097/00005650-199206000-00002
- Takayoshi K, Mototsugu T, Tomohiro T, et al. Health-related quality of life prospectively evaluated by the 8-item short form after endovascular repair versus open surgery for abdominal aortic aneurysms. Heart Vessels. 2017;32:960- 968. doi:10.1007/s00380-017-0956-9
- Pickard AS, Johnson JA, Penn A, et al. Replicability of SF-36 summary scores by the SF-12 in stroke patients. Stroke. 1999;30:1213-1217. doi:10.1161/01.str.30.6.1213
- Jenkinson C, Layte R. The development and testing of the UK SF-12. J Health Serv Res Policy. 1997;2:14-18. doi:10.1177/135581969700200105
- Golledge J, Clancy P, Jamrozik K, et al. Obesity, adipokines, and abdominal aortic aneurysm: Health in Men study. Circulation. 2007;116:2275-2279. doi:10.1161/CIRCULATIONAHA.107.717926
- Norman PE, Curci JA. Understanding the effects of tobacco smoke on the pathogenesis of aortic aneurysm. Arterioscler Thromb Vasc Biol. 2013;33:1473-1477. doi:10.1161/ATVBAHA.112.300158
- Bath MF, Sidloff D, Saratzis A, et al. Impact of abdominal aortic aneurysm screening on quality of life. BJS. 2018;105:203-208. doi:10.1002/bjs.10721
- Lesjak M, Boreland F, Lyle D, Sidford J, Flecknoe-Brown S, Fletcher J. Screening for abdominal aortic aneurysm: does it affect men’s quality of life? Aust J Prim Health. 2012;18:284-288. doi:10.1071/PY11131
- Bath MF, Gokani VJ, Sidloff DA, et al. Systematic review of cardiovascular disease and cardiovascular death in patients with a small abdominal aortic aneurysm. Br J Surg. 2015;102:866-872. doi:10.1002/bjs.9837
- Golledge J, Pinchbeck J, Rowbotham SE, et al. Health-related quality of life amongst people diagnosed with abdominal aortic aneurysm and peripheral artery disease and the effect of fenofibrate. Sci Rep. 2020;10:14583. doi:10.1038/s41598-020-71454-4
- Jenkinson C, Layte R, Jenkinson D. A shorter form health survey: can the SF-12 replicate results from the SF-36 in longitudinal studies? J Public Health Med. 1997;19:179- 186. doi:10.1093/oxfordjournals.pubmed.a024606
- White MK, Maher SM, Rizio AA, et al. A meta-analytic review of measurement equivalence study findings of the SF-36® and SF-12® Health Surveys across electronic modes compared to paper administration. Qual Life Res. 2018;27:1757-1767. doi:10.1007/s11136-018-1851-2
- Altobelli E, Rapacchietta L, Profeta VF, et al. Risk factors for abdominal aortic aneurysm in population- based studies: a systematic review and meta-analysis. Int J Environ Res Public Health. 2018;15:2805. doi:10.3390/ijerph15122805
- Chaikof EL, Dalman RL, Eskandari MK, et al. The society for vascular surgery practice guidelines on the care of patients with an abdominal aortic aneurysm. J Vasc Surg. 2018;67:2-77.e2. doi:10.1016/j.jvs.2017.10.044
- Kent KC. Abdominal aortic aneurysms. N Engl J Med. 2014;371:2101-2108. doi:10.1056/NEJMcp1401430
- Harthun NL. Current issues in the treatment of women with abdominal aortic aneurysm. Gend Med. 2008;5:36-43.
- Aoki H. Taking control of the time bomb in abdominal aortic aneurysm. Circ J. 2016;80:314-315. doi:10.1253/circj.CJ-15-1350
- Damhus CS, Siersma V, Hansson A, Bang CW, Brodersen J. Psychosocial consequences of screeningdetected abdominal aortic aneurisms: a cross-sectional study. Scand J Prim Health Care. 2021;39:459-465. doi:10.1080/02813432.2021.2004713
- Ericsson A, Kumlien C, Ching S, Carlson E, Molassiotis A. Impact on quality of life of men with screening-detected abdominal aortic aneurysms attending regular follow ups: a narrative literature review. Eur J Vasc Endovasc Surg. 2019;57:589-596. doi:10.1016/j.ejvs.2018.10.012
- Galyfos G, Voulalas G, Stamatatos I, et al. Small abdominal aortic aneurysms: should we wait? Vasc Dis Manag. 2015;12:E152-E159.
- Kristensen KL, Dahl M, Rasmussen LM, et al. Glycated hemoglobin is associated with the growth rate of abdominal aortic aneurysms. Arterioscler Thromb Vasc Biol. 2017;37:730-736. doi:10.1161/ATVBAHA.116.308874
- Xiao-Yan L, Yu-Kui M, Li-Hui L. Risk factors for preoperative anxiety and depression in patients scheduled for abdominal aortic aneurysm repair. Chine Med J. 2018;131:1951-1957. doi:10.4103/0366-6999.238154
- Suckow BD, Schanzer AS, Hoel AW, et al. A novel quality of life instrument for patients with an abdominal aortic aneurysm. Eur J Vasc Endovasc Surg. 2019;57:809-815. doi:10.1016/j.ejvs.2019.01.018
- Flatz A, Casillas A, Stringhini S, et al. Association between education and quality of diabetes care in Switzerland. Int J Gen Med. 2015;8:87-92. doi:10.2147/IJGM.S77139
- Christensen AV, Bjorner JB, Ekholm O, et al. Increased risk of mortality and readmission associated with lower SF-12 scores in cardiac patients: Results from the national DenHeart study. Eur J Cardiovasc Nurs. 2020;19:330-338. doi:10.1177/1474515119885480
- Hamming JF, De Vries J. Measuring quality of life. Br J Surg. 2007;94:923-924. doi:10.1002/bjs.5948
- Urbach DR. Measuring quality of life after surgery. Surg Innov. 2005;12:161-165. doi:10.1177/ 155335060501200216
- Gandek B, Sinclair SJ, Kosinski M, et al. Psychometric evaluation of the SF-36® health survey in medicare managed care. Health Care Financ Rev. 2004;25:5.
- Ware JE, Sherbourne CD. The MOS 36-item short form health survey (SF-36). Med Care. 1992;30:473-483. doi:10.1097/00005650-199206000-00002
- Takayoshi K, Mototsugu T, Tomohiro T, et al. Health-related quality of life prospectively evaluated by the 8-item short form after endovascular repair versus open surgery for abdominal aortic aneurysms. Heart Vessels. 2017;32:960- 968. doi:10.1007/s00380-017-0956-9
- Pickard AS, Johnson JA, Penn A, et al. Replicability of SF-36 summary scores by the SF-12 in stroke patients. Stroke. 1999;30:1213-1217. doi:10.1161/01.str.30.6.1213
- Jenkinson C, Layte R. The development and testing of the UK SF-12. J Health Serv Res Policy. 1997;2:14-18. doi:10.1177/135581969700200105
- Golledge J, Clancy P, Jamrozik K, et al. Obesity, adipokines, and abdominal aortic aneurysm: Health in Men study. Circulation. 2007;116:2275-2279. doi:10.1161/CIRCULATIONAHA.107.717926
- Norman PE, Curci JA. Understanding the effects of tobacco smoke on the pathogenesis of aortic aneurysm. Arterioscler Thromb Vasc Biol. 2013;33:1473-1477. doi:10.1161/ATVBAHA.112.300158
- Bath MF, Sidloff D, Saratzis A, et al. Impact of abdominal aortic aneurysm screening on quality of life. BJS. 2018;105:203-208. doi:10.1002/bjs.10721
- Lesjak M, Boreland F, Lyle D, Sidford J, Flecknoe-Brown S, Fletcher J. Screening for abdominal aortic aneurysm: does it affect men’s quality of life? Aust J Prim Health. 2012;18:284-288. doi:10.1071/PY11131
- Bath MF, Gokani VJ, Sidloff DA, et al. Systematic review of cardiovascular disease and cardiovascular death in patients with a small abdominal aortic aneurysm. Br J Surg. 2015;102:866-872. doi:10.1002/bjs.9837
- Golledge J, Pinchbeck J, Rowbotham SE, et al. Health-related quality of life amongst people diagnosed with abdominal aortic aneurysm and peripheral artery disease and the effect of fenofibrate. Sci Rep. 2020;10:14583. doi:10.1038/s41598-020-71454-4
- Jenkinson C, Layte R, Jenkinson D. A shorter form health survey: can the SF-12 replicate results from the SF-36 in longitudinal studies? J Public Health Med. 1997;19:179- 186. doi:10.1093/oxfordjournals.pubmed.a024606
- White MK, Maher SM, Rizio AA, et al. A meta-analytic review of measurement equivalence study findings of the SF-36® and SF-12® Health Surveys across electronic modes compared to paper administration. Qual Life Res. 2018;27:1757-1767. doi:10.1007/s11136-018-1851-2
Quality of Life for Males With Abdominal Aortic Aneurysm
Quality of Life for Males With Abdominal Aortic Aneurysm