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Impact of the COVID-19 Pandemic on Care for Patients With Atopic Dermatitis
To the Editor:
Atopic dermatitis (AD) is a widely prevalent dermatologic condition that can severely impact a patient’s quality of life.1 Individuals with AD have been substantially affected during the COVID-19 pandemic due to the increased use of irritants, decreased access to care, and rise in psychological stress.1,2 These factors have resulted in lower quality of life and worsening dermatologic symptoms for many AD patients over the last few years.1 One major potential contributory component of these findings is decreased accessibility to in-office care during the pandemic, with a shift to telemedicine instead. Accessibility to care during the COVID-19 pandemic for AD patients compared to those without AD remains unknown. Therefore, we explored the impact of the COVID-19 pandemic on care for patients with AD in a large US population.
Using anonymous survey data from the 2021 National Health Interview Survey,3 we conducted a population-based, cross-sectional study to evaluate access to care during the COVID-19 pandemic for patients with AD compared to those without AD. We assigned the following 3 survey questions as outcome variables to assess access to care: delayed medical care due to COVID-19 pandemic (yes/no), did not get care due to COVID-19 pandemic (yes/no), and virtual medical appointment in the last 12 months (yes/no). In Table 1, numerous categorical survey variables, including sex, health insurance status, race/ethnicity, education, US citizenship, birth in the United States, public assistance/welfare, and region, were analyzed using χ2 testing to evaluate for differences among individuals with and without AD. Multivariable logistic regression models evaluating the relationship between AD and access to care were constructed using Stata/MP 17 (StataCorp LLC). In our analysis we controlled for age, sex, health insurance status, race/ethnicity, education, US citizenship, birth in the United States, public assistance/welfare, and region.
There were 29,142 adult patients (aged ≥18 years) included in our analysis. Approximately 7.4% (weighted) of individuals had AD (Table 1). After adjusting for confounding variables, patients with AD had a higher odds of delaying medical care due to the COVID-19 pandemic (adjusted odds ratio [AOR], 1.91; 95% CI, 1.69-2.16; P<.001), not receiving care due to the COVID-19 pandemic (AOR, 1.94; 95% CI, 1.71-2.22; P<.001), and having a virtual medical visit in the last 12 months (AOR, 1.72; 95% CI, 1.54-1.93; P<.001)(Table 2) compared with patients without AD.
Our findings support the association between AD and decreased access to in-person care due to the COVID-19 pandemic. Moreover, telemedicine was utilized more among individuals with AD, possibly due to the accessibility of diagnostic tools for dermatologic diagnoses, such as high-quality photographs.4 According to Trinidad et al,4 telemedicine became an invaluable tool for dermatology hospitalists during the COVID-19 pandemic, as many physicians were able to comfortably diagnose patients with cutaneous diseases without an in-person visit. Utilizing telemedicine for patient care can help reduce the risk for COVID-19 transmission while also providing quality care for individuals living in rural areas.5 Chiricozzi et al6 discussed the importance of telemedicine in Italy during the pandemic, as many AD patients were able to maintain control of their disease while on systemic treatments.
Limitations of this study include self-reported measures; inability to compare patients with AD to individuals with other cutaneous diseases; and additional potential confounders, such as chronic comorbidities. Future studies should evaluate the use of telemedicine and access to care among individuals with other common skin diseases and help determine why such discrepancies exist. Understanding the difficulties in access to care and the viable alternatives in place may increase awareness and assist clinicians with adequate management of patients with AD.
1. Sieniawska J, Lesiak A, Cia˛z˙yn´ski K, et al. Impact of the COVID-19 pandemic on atopic dermatitis patients. Int J Environ Res Public Health. 2022;19:1734. doi:10.3390/ijerph19031734
2. Pourani MR, Ganji R, Dashti T, et al. Impact of COVID-19 pandemic on patients with atopic dermatitis [in Spanish]. Actas Dermosifiliogr. 2022;113:T286-T293. doi:10.1016/j.ad.2021.08.004
3. National Center for Health Statistics. NHIS Data, Questionnaires and Related Documentation. Centers for Disease Control and Prevention website. Accessed February 1, 2023. https://www.cdc.gov/nchs/nhis/data-questionnaires-documentation.htm
4. Trinidad J, Gabel CK, Han JJ, et al. Telemedicine and dermatology hospital consultations during the COVID-19 pandemic: a multi-centre observational study on resource utilization and conversion to in-person consultations during the COVID-19 pandemic. J Eur Acad Dermatol Venereol. 2022;36:E323-E325. doi:10.1111/jdv.17898
5. Marasca C, Annunziata MC, Camela E, et al. Teledermatology and inflammatory skin conditions during COVID-19 era: new perspectives and applications. J Clin Med. 2022;11:1511. doi:10.3390/jcm11061511
6. Chiricozzi A, Talamonti M, De Simone C, et al. Management of patients with atopic dermatitis undergoing systemic therapy during COVID-19 pandemic in Italy: data from the DA-COVID-19 registry. Allergy. 2021;76:1813-1824. doi:10.1111/all.14767
To the Editor:
Atopic dermatitis (AD) is a widely prevalent dermatologic condition that can severely impact a patient’s quality of life.1 Individuals with AD have been substantially affected during the COVID-19 pandemic due to the increased use of irritants, decreased access to care, and rise in psychological stress.1,2 These factors have resulted in lower quality of life and worsening dermatologic symptoms for many AD patients over the last few years.1 One major potential contributory component of these findings is decreased accessibility to in-office care during the pandemic, with a shift to telemedicine instead. Accessibility to care during the COVID-19 pandemic for AD patients compared to those without AD remains unknown. Therefore, we explored the impact of the COVID-19 pandemic on care for patients with AD in a large US population.
Using anonymous survey data from the 2021 National Health Interview Survey,3 we conducted a population-based, cross-sectional study to evaluate access to care during the COVID-19 pandemic for patients with AD compared to those without AD. We assigned the following 3 survey questions as outcome variables to assess access to care: delayed medical care due to COVID-19 pandemic (yes/no), did not get care due to COVID-19 pandemic (yes/no), and virtual medical appointment in the last 12 months (yes/no). In Table 1, numerous categorical survey variables, including sex, health insurance status, race/ethnicity, education, US citizenship, birth in the United States, public assistance/welfare, and region, were analyzed using χ2 testing to evaluate for differences among individuals with and without AD. Multivariable logistic regression models evaluating the relationship between AD and access to care were constructed using Stata/MP 17 (StataCorp LLC). In our analysis we controlled for age, sex, health insurance status, race/ethnicity, education, US citizenship, birth in the United States, public assistance/welfare, and region.
There were 29,142 adult patients (aged ≥18 years) included in our analysis. Approximately 7.4% (weighted) of individuals had AD (Table 1). After adjusting for confounding variables, patients with AD had a higher odds of delaying medical care due to the COVID-19 pandemic (adjusted odds ratio [AOR], 1.91; 95% CI, 1.69-2.16; P<.001), not receiving care due to the COVID-19 pandemic (AOR, 1.94; 95% CI, 1.71-2.22; P<.001), and having a virtual medical visit in the last 12 months (AOR, 1.72; 95% CI, 1.54-1.93; P<.001)(Table 2) compared with patients without AD.
Our findings support the association between AD and decreased access to in-person care due to the COVID-19 pandemic. Moreover, telemedicine was utilized more among individuals with AD, possibly due to the accessibility of diagnostic tools for dermatologic diagnoses, such as high-quality photographs.4 According to Trinidad et al,4 telemedicine became an invaluable tool for dermatology hospitalists during the COVID-19 pandemic, as many physicians were able to comfortably diagnose patients with cutaneous diseases without an in-person visit. Utilizing telemedicine for patient care can help reduce the risk for COVID-19 transmission while also providing quality care for individuals living in rural areas.5 Chiricozzi et al6 discussed the importance of telemedicine in Italy during the pandemic, as many AD patients were able to maintain control of their disease while on systemic treatments.
Limitations of this study include self-reported measures; inability to compare patients with AD to individuals with other cutaneous diseases; and additional potential confounders, such as chronic comorbidities. Future studies should evaluate the use of telemedicine and access to care among individuals with other common skin diseases and help determine why such discrepancies exist. Understanding the difficulties in access to care and the viable alternatives in place may increase awareness and assist clinicians with adequate management of patients with AD.
To the Editor:
Atopic dermatitis (AD) is a widely prevalent dermatologic condition that can severely impact a patient’s quality of life.1 Individuals with AD have been substantially affected during the COVID-19 pandemic due to the increased use of irritants, decreased access to care, and rise in psychological stress.1,2 These factors have resulted in lower quality of life and worsening dermatologic symptoms for many AD patients over the last few years.1 One major potential contributory component of these findings is decreased accessibility to in-office care during the pandemic, with a shift to telemedicine instead. Accessibility to care during the COVID-19 pandemic for AD patients compared to those without AD remains unknown. Therefore, we explored the impact of the COVID-19 pandemic on care for patients with AD in a large US population.
Using anonymous survey data from the 2021 National Health Interview Survey,3 we conducted a population-based, cross-sectional study to evaluate access to care during the COVID-19 pandemic for patients with AD compared to those without AD. We assigned the following 3 survey questions as outcome variables to assess access to care: delayed medical care due to COVID-19 pandemic (yes/no), did not get care due to COVID-19 pandemic (yes/no), and virtual medical appointment in the last 12 months (yes/no). In Table 1, numerous categorical survey variables, including sex, health insurance status, race/ethnicity, education, US citizenship, birth in the United States, public assistance/welfare, and region, were analyzed using χ2 testing to evaluate for differences among individuals with and without AD. Multivariable logistic regression models evaluating the relationship between AD and access to care were constructed using Stata/MP 17 (StataCorp LLC). In our analysis we controlled for age, sex, health insurance status, race/ethnicity, education, US citizenship, birth in the United States, public assistance/welfare, and region.
There were 29,142 adult patients (aged ≥18 years) included in our analysis. Approximately 7.4% (weighted) of individuals had AD (Table 1). After adjusting for confounding variables, patients with AD had a higher odds of delaying medical care due to the COVID-19 pandemic (adjusted odds ratio [AOR], 1.91; 95% CI, 1.69-2.16; P<.001), not receiving care due to the COVID-19 pandemic (AOR, 1.94; 95% CI, 1.71-2.22; P<.001), and having a virtual medical visit in the last 12 months (AOR, 1.72; 95% CI, 1.54-1.93; P<.001)(Table 2) compared with patients without AD.
Our findings support the association between AD and decreased access to in-person care due to the COVID-19 pandemic. Moreover, telemedicine was utilized more among individuals with AD, possibly due to the accessibility of diagnostic tools for dermatologic diagnoses, such as high-quality photographs.4 According to Trinidad et al,4 telemedicine became an invaluable tool for dermatology hospitalists during the COVID-19 pandemic, as many physicians were able to comfortably diagnose patients with cutaneous diseases without an in-person visit. Utilizing telemedicine for patient care can help reduce the risk for COVID-19 transmission while also providing quality care for individuals living in rural areas.5 Chiricozzi et al6 discussed the importance of telemedicine in Italy during the pandemic, as many AD patients were able to maintain control of their disease while on systemic treatments.
Limitations of this study include self-reported measures; inability to compare patients with AD to individuals with other cutaneous diseases; and additional potential confounders, such as chronic comorbidities. Future studies should evaluate the use of telemedicine and access to care among individuals with other common skin diseases and help determine why such discrepancies exist. Understanding the difficulties in access to care and the viable alternatives in place may increase awareness and assist clinicians with adequate management of patients with AD.
1. Sieniawska J, Lesiak A, Cia˛z˙yn´ski K, et al. Impact of the COVID-19 pandemic on atopic dermatitis patients. Int J Environ Res Public Health. 2022;19:1734. doi:10.3390/ijerph19031734
2. Pourani MR, Ganji R, Dashti T, et al. Impact of COVID-19 pandemic on patients with atopic dermatitis [in Spanish]. Actas Dermosifiliogr. 2022;113:T286-T293. doi:10.1016/j.ad.2021.08.004
3. National Center for Health Statistics. NHIS Data, Questionnaires and Related Documentation. Centers for Disease Control and Prevention website. Accessed February 1, 2023. https://www.cdc.gov/nchs/nhis/data-questionnaires-documentation.htm
4. Trinidad J, Gabel CK, Han JJ, et al. Telemedicine and dermatology hospital consultations during the COVID-19 pandemic: a multi-centre observational study on resource utilization and conversion to in-person consultations during the COVID-19 pandemic. J Eur Acad Dermatol Venereol. 2022;36:E323-E325. doi:10.1111/jdv.17898
5. Marasca C, Annunziata MC, Camela E, et al. Teledermatology and inflammatory skin conditions during COVID-19 era: new perspectives and applications. J Clin Med. 2022;11:1511. doi:10.3390/jcm11061511
6. Chiricozzi A, Talamonti M, De Simone C, et al. Management of patients with atopic dermatitis undergoing systemic therapy during COVID-19 pandemic in Italy: data from the DA-COVID-19 registry. Allergy. 2021;76:1813-1824. doi:10.1111/all.14767
1. Sieniawska J, Lesiak A, Cia˛z˙yn´ski K, et al. Impact of the COVID-19 pandemic on atopic dermatitis patients. Int J Environ Res Public Health. 2022;19:1734. doi:10.3390/ijerph19031734
2. Pourani MR, Ganji R, Dashti T, et al. Impact of COVID-19 pandemic on patients with atopic dermatitis [in Spanish]. Actas Dermosifiliogr. 2022;113:T286-T293. doi:10.1016/j.ad.2021.08.004
3. National Center for Health Statistics. NHIS Data, Questionnaires and Related Documentation. Centers for Disease Control and Prevention website. Accessed February 1, 2023. https://www.cdc.gov/nchs/nhis/data-questionnaires-documentation.htm
4. Trinidad J, Gabel CK, Han JJ, et al. Telemedicine and dermatology hospital consultations during the COVID-19 pandemic: a multi-centre observational study on resource utilization and conversion to in-person consultations during the COVID-19 pandemic. J Eur Acad Dermatol Venereol. 2022;36:E323-E325. doi:10.1111/jdv.17898
5. Marasca C, Annunziata MC, Camela E, et al. Teledermatology and inflammatory skin conditions during COVID-19 era: new perspectives and applications. J Clin Med. 2022;11:1511. doi:10.3390/jcm11061511
6. Chiricozzi A, Talamonti M, De Simone C, et al. Management of patients with atopic dermatitis undergoing systemic therapy during COVID-19 pandemic in Italy: data from the DA-COVID-19 registry. Allergy. 2021;76:1813-1824. doi:10.1111/all.14767
Practice Points
- The landscape of dermatology has seen major changes due to the COVID-19 pandemic, as many patients now utilize telemedicine to receive care.
- Understanding accessibility to in-person care for patients with atopic dermatitis during the COVID-19 pandemic can assist with the development of methods to enhance management.
Monitoring Thyrotropin in Veterans With Thyroid Nodules
When thyroid nodules are found clinically or incidentally on imaging, the patient’s thyrotropin level should be measured.1 Ultrasound is the first-line imaging recommended to assess thyroid nodules.1,2 Nodules can then be evaluated by a fine-needle aspiration (FNA) biopsy, which provides cytological information to determine whether the nodule is benign or malignant.1,3,4 Most thyroid nodules pose a low risk of malignancy.1
The American Thyroid Association guidelines on thyroid nodule management do not specify any recommendations for follow-up thyrotropin testing in patients who do not have any history that is known to affect thyroid function.1 Therefore, clinicians have to make decisions regarding follow-up testing in these patients without any evidence-based guidelines. There is a lack of data in the literature on whether thyrotropin levels change over time in this patient population. If thyrotropin levels do not become abnormal over time, then patients would not need thyrotropin monitoring or treatment for hypo- or hyperthyroidism.
The aim of this study was to determine whether thyrotropin levels change over time in patients with thyroid nodules and determine whether repeat thyrotropin testing was required after initial testing. The authors hypothesized that thyrotropin values do not change substantially over time in patients with thyroid nodules, except in patients with a history of hot nodules, autoimmune thyroid disease, thyroid or pituitary surgery, radioactive iodine ablation, neck radiation, or use of medications affecting thyroid function. This study may be able to contribute to the clinical guidelines for thyrotropin testing in patients with thyroid nodules so that clinicians can make evidence-based decisions.
METHODS
This retrospective chart review was conducted using the Computerized Patient Record System at the Veterans Affairs Dayton Healthcare System (VADHS) in Ohio. Patients aged ≥ 18 years who were diagnosed with ≥ 1 thyroid nodule from January 2010 to December 2016 and had a normal thyrotropin level at the time of diagnosis were included in the study. Patients who were found to have thyroid nodules multiple times were included only once from the time of the initial diagnosis. Patients were excluded if they had a medical history known to affect thyroid function. Exclusion criteria included a history of hot thyroid nodules; autoimmune thyroid disease on imaging or blood work; history of thyroid surgery, including pituitary surgery; history of radioactive iodine treatment; history of neck radiation; use of thyroxine before nodule diagnosis; use of amiodarone, programmed cell death-1 inhibitors, programmed cell death ligand-1 inhibitors, or cytotoxic T-lymphocyte-associated protein-4 inhibitors; or 3 consecutive months of steroid use.
Age at nodule diagnosis, sex, race, thyrotropin values at and after the time of nodule diagnosis, and duration from nodule diagnosis to most recent thyrotropin value were retrospectively collected until 100 patients met inclusion criteria for the study. Of note, from 2010 to 2016, the assays used at the VADHS to measure thyrotropin values changed over time, as did the normal reference ranges and the type of sample used for the assays. Normal thyrotropin range at time of diagnosis based on serum or plasma samples and for repeat thyrotropin levels are provided in Table 1, also based on serum or plasma samples. All collected data in the study was de-identified for analysis.
Statistical Analysis
Patients were divided into 2 groups: those who had an abnormal most recent thyrotropin value and those who did not. Mean (SD) of both groups was calculated for continuous variables of age at diagnosis, initial thyrotropin value and most recent thyrotropin value, and time from diagnosis to most recent thyrotropin value. Percentages for both groups were calculated for categorical variables of sex, race, and whether initial and most recent thyrotropin values were based on serum or plasma samples and old or new reference ranges. A 95% CI was determined for the true population rate of patients with an abnormal thyrotropin value at most recent testing. Independent sample t tests were used to compare the continuous variables between the abnormal and normal most recent thyrotropin groups. Categorical variables between the 2 groups were compared using χ2 tests. P < .05 was considered statistically significant. Statistical analyses were completed using IBM SPSS Statistics 27. This study was approved by the Wright State University Institutional Review Board and the VADHS Research and Development Committee.
RESULTS
Of 557 patient charts studied, 100 patients were included; the mean (SD) age at nodule diagnosis was 62.4 (11.1) years, and the mean (SD) initial thyrotropin level at nodule diagnosis was 1.51 (0.87) μIU/mL. The mean (SD) most recent thyrotropin level was 1.60 (1.03) μIU/mL after a mean duration of 5.7 (2.5) years postnodule diagnosis (Table 2).
Six patients (6%; 95% CI, 2.5%-12.7%) who had a normal thyrotropin level at nodule diagnosis developed an abnormal thyrotropin level in a mean (SD) of 6.9 (3.1) years. These 6 patients had a mean age at nodule diagnosis of 69.2 (11.4) years. Five of the 6 were male, and all were White patients. One patient’s thyrotropin level rose from an initial thyrotropin of 3.38 μIU/mL at nodule diagnosis to a high of 7.76 μIU/mL after 8.5 years. This patient was diagnosed with subclinical hypothyroidism and did not require treatment.
Five patients’ thyrotropin levels dropped below normal in a mean 7 years, with levels ranging from 0.25 to 0.52 μIU/mL. Of these patients, 2 became symptomatic from the nodules, experiencing dysphagia or hoarseness, with 1 diagnosed with hyperthyroidism. This patient was treated with methimazole and radioactive iodine ablation 9 years after diagnosis. The other 3 patients who developed low thyrotropin had no nodule symptoms or treatment. Ninety-four patients maintained thyrotropin values in the normal range for a mean (SD) of 5.7 (2.5) years and had a mean (SD) age at nodule diagnosis of 61.9 (11.0) years.
Both thyrotropin groups were compared. For categorical variables, there were no significant differences for sex (
Of note, the VADHS changed the type of blood sample used to generate thyrotropin values from serum to plasma and had 3 different normal reference ranges during the 2010 to 2016 period studied. The thyrotropin values fell into 4 categories: serum sample with normal range 0.4 to 5.5 μIU/mL, serum sample with normal range 0.4 to 4.0 μIU/mL, plasma sample with normal range 0.4 to 4.0 μIU/mL, and plasma sample with normal range 0.6 to 4.8 μIU/mL. There were no significant differences between the abnormal and normal most recent thyrotropin groups in sample type for initial or most recent thyrotropin (P = .44 and P = .99, respectively) or in normal range for initial or most recent thyrotropin level (P = .99 and P = .09, respectively).
DISCUSSION
We found no statistically significant change in blood thyrotropin levels over time among patients with thyroid nodules with no history of medical conditions or medications known to affect thyroid hormone levels. Six of 100 patients developed abnormal thyrotropin, but only 2 eventually were treated for thyroid dysfunction: 1 for hypothyroidism and 1 for hyperthyroidism. The other 4 patients who did not receive treatment developed low thyrotropin but had no official diagnosis of hyperthyroidism in their health records, seemingly due to lack of multiple, consistently low thyrotropin values or due to lack of follow-up. Based on these data, monitoring thyrotropin over time may not be necessary in patients without any medical history known to affect thyroid function. The results provide support for the original hypothesis.
Although only thyrotropin values at the time of nodule diagnosis and most recent thyrotropin values were analyzed, thyrotropin trends over time were considered. Some patients did have transient abnormal thyrotropin values; however, a search of the patients’ records showed that these transient abnormalities did not lead to any initiation of hypothyroidism or hyperthyroidism treatment.
Another consideration is that changes in the sample type processed and in the normal thyrotropin ranges over time could have been confounding variables. However, statistical analyses showed that the abnormal and normal most recent thyrotropin groups did not show any significant differences in sample type or reference range for either the initial or most recent thyrotropin values. Hospitals change the laboratory assays they use for clinical tests over time, but these changes likely did not affect the results of this study.
The data from this study showed similar results to previously reported research. This study found that 6% of patients developed abnormal thyrotropin levels over time. A study of 157 patients with nonfunctioning benign thyroid nodules found that 8.3% of patients developed thyroid dysfunction.5 In another follow-up study on patients with thyroid nodules who were otherwise euthyroid, 2 of 118 patients eventually received treatment for hyperthyroidism.6 In the current study, we report that just 1 of 100 included patients had to begin treatment for hyperthyroidism.
The literature also includes research on using thyrotropin and age to predict malignancy in patients with thyroid nodules. One study suggested that a thyrotropin cutoff point of ≥ 2.1 mU/I and an age cutoff point of ≥ 47 years were significantly associated with a diagnosis of malignancy.7 Although the current study did not study malignancy, the results showed that the mean age at nodule diagnosis was higher in patients who had abnormal vs normal most recent thyrotropin levels: 69 vs 62 years, respectively. Future studies could determine whether a certain initial thyrotropin value or age could be used as a cutoff for requiring further thyrotropin monitoring to check for development of hyperthyroidism or hypothyroidism.
Limitations
This study was limited by its small size of 100 subjects. Most patients had to be excluded to focus on the aim of determining whether thyrotropin monitoring is needed in the specific group of patients without medical history that would be expected to affect thyroid function. Another limitation was that 83% of the patients included in the study were male, which does not reflect the general population. Future studies should include a greater number of patients and aim for a balance of 50% male and 50% female patients.
Additionally, it is important to note that the changing definition of the normal thyrotropin range was a limitation. It is possible that some patients who were considered normal at the time of a particular thyrotropin measurement may have had an abnormal reading if measured at a different time. Another consideration is that the VADHS changed the type of blood sample used to generate thyrotropin values from serum to plasma during the time that analyzed thyrotropin values were measured. This could have led to different thyrotropin values and, therefore, different results of this study compared with if the sample type had stayed the same. However, a previous study showed very similar thyrotropin values generated from serum and plasma samples in 17 patients.8 Therefore, possibly the change in sample type in the current study only minimally affected the results.
CONCLUSIONS
Current American Thyroid Association guidelines do not specify recommendations for follow-up thyrotropin testing in patients with thyroid nodules who do not have a history of conditions or medications known to affect thyroid hormone levels.1 This study suggests that repeat thyrotropin monitoring may not be necessary for this group of patients. Individuals who had an abnormal most recent thyrotropin had an older age at thyroid nodule diagnosis compared with patients who had a normal most recent thyrotropin, so it is possible that thyrotropin monitoring may be recommended for people with nodules who are above a certain age. The results of this study as well as future studies could help create new clinical recommendations for thyrotropin monitoring in patients with thyroid nodules that clinicians can use to make evidence-based clinical decisions. There would also be a decreased financial, physical, and time burden on the patients if guidelines specify that they are not required to get continued blood thyrotropin testing.
Acknowledgments
The authors acknowledge Ronald J. Markert, PhD, formerly of Wright State University Boonshoft School of Medicine, for his contributions to the statistical analysis of this research.
1. Haugen BR, Alexander EK, Bible KC, et al. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid. 2016;26(1):1-133. doi:10.1089/thy.2015.0020
2. Chambara N, Liu SYW, Lo X, Ying M. Diagnostic performance evaluation of different TI-RADS using ultrasound computer-aided diagnosis of thyroid nodules: an experience with adjusted settings. PLoS One. 2021;16(1):e0245617. doi:10.1371/journal.pone.0245617
3. Livhits MJ, Zhu CY, Kuo EJ, et al. Effectiveness of molecular testing techniques for diagnosis of indeterminate thyroid nodules: a randomized clinical trial. JAMA Oncol. 2021;7(1):70-77. doi:10.1001/jamaoncol.2020.5935
4. Grani G, Lamartina L, Ascoli V, et al. Reducing the number of unnecessary thyroid biopsies while improving diagnostic accuracy: toward the “right” TIRADS. J Clin Endocrinol Metab. 2019;104(1):95-102. doi:10.1210/jc.2018-01674
5. Memon R, Salgado Nunez Del Prado SR, Lamos EM, et al. Biochemical follow-up of nonfunctioning benign thyroid nodules. Clin Endocrinol (Oxf). 2021;94(2):322-329. doi:10.1111/cen.14303
6. Bajuk Studen K, Gaberscek S, Pirnat E, Zaletel K. Five-year follow-up and clinical outcome in euthyroid patients with thyroid nodules. Radiol Oncol. 2021;55(3):317-322. Published 2021 May 31. doi:10.2478/raon-2021-0025
7. Fernández-Trujillo C, Pérez-Zaballos J, Rodríguez-Pérez CA, et al. TSH level and risk of malignancy in patients with Bethesda category IV thyroid nodules. Horm Cancer. 2020;11(3-4):200-204. doi:10.1007/s12672-020-00384-4
8. Villanger GD, Learner E, Longnecker MP, et al. Effects of sample handling and analytical procedures on thyroid hormone concentrations in pregnant women’s plasma. Epidemiology. 2017;28(3):365-369. doi:10.1097/EDE.0000000000000606
When thyroid nodules are found clinically or incidentally on imaging, the patient’s thyrotropin level should be measured.1 Ultrasound is the first-line imaging recommended to assess thyroid nodules.1,2 Nodules can then be evaluated by a fine-needle aspiration (FNA) biopsy, which provides cytological information to determine whether the nodule is benign or malignant.1,3,4 Most thyroid nodules pose a low risk of malignancy.1
The American Thyroid Association guidelines on thyroid nodule management do not specify any recommendations for follow-up thyrotropin testing in patients who do not have any history that is known to affect thyroid function.1 Therefore, clinicians have to make decisions regarding follow-up testing in these patients without any evidence-based guidelines. There is a lack of data in the literature on whether thyrotropin levels change over time in this patient population. If thyrotropin levels do not become abnormal over time, then patients would not need thyrotropin monitoring or treatment for hypo- or hyperthyroidism.
The aim of this study was to determine whether thyrotropin levels change over time in patients with thyroid nodules and determine whether repeat thyrotropin testing was required after initial testing. The authors hypothesized that thyrotropin values do not change substantially over time in patients with thyroid nodules, except in patients with a history of hot nodules, autoimmune thyroid disease, thyroid or pituitary surgery, radioactive iodine ablation, neck radiation, or use of medications affecting thyroid function. This study may be able to contribute to the clinical guidelines for thyrotropin testing in patients with thyroid nodules so that clinicians can make evidence-based decisions.
METHODS
This retrospective chart review was conducted using the Computerized Patient Record System at the Veterans Affairs Dayton Healthcare System (VADHS) in Ohio. Patients aged ≥ 18 years who were diagnosed with ≥ 1 thyroid nodule from January 2010 to December 2016 and had a normal thyrotropin level at the time of diagnosis were included in the study. Patients who were found to have thyroid nodules multiple times were included only once from the time of the initial diagnosis. Patients were excluded if they had a medical history known to affect thyroid function. Exclusion criteria included a history of hot thyroid nodules; autoimmune thyroid disease on imaging or blood work; history of thyroid surgery, including pituitary surgery; history of radioactive iodine treatment; history of neck radiation; use of thyroxine before nodule diagnosis; use of amiodarone, programmed cell death-1 inhibitors, programmed cell death ligand-1 inhibitors, or cytotoxic T-lymphocyte-associated protein-4 inhibitors; or 3 consecutive months of steroid use.
Age at nodule diagnosis, sex, race, thyrotropin values at and after the time of nodule diagnosis, and duration from nodule diagnosis to most recent thyrotropin value were retrospectively collected until 100 patients met inclusion criteria for the study. Of note, from 2010 to 2016, the assays used at the VADHS to measure thyrotropin values changed over time, as did the normal reference ranges and the type of sample used for the assays. Normal thyrotropin range at time of diagnosis based on serum or plasma samples and for repeat thyrotropin levels are provided in Table 1, also based on serum or plasma samples. All collected data in the study was de-identified for analysis.
Statistical Analysis
Patients were divided into 2 groups: those who had an abnormal most recent thyrotropin value and those who did not. Mean (SD) of both groups was calculated for continuous variables of age at diagnosis, initial thyrotropin value and most recent thyrotropin value, and time from diagnosis to most recent thyrotropin value. Percentages for both groups were calculated for categorical variables of sex, race, and whether initial and most recent thyrotropin values were based on serum or plasma samples and old or new reference ranges. A 95% CI was determined for the true population rate of patients with an abnormal thyrotropin value at most recent testing. Independent sample t tests were used to compare the continuous variables between the abnormal and normal most recent thyrotropin groups. Categorical variables between the 2 groups were compared using χ2 tests. P < .05 was considered statistically significant. Statistical analyses were completed using IBM SPSS Statistics 27. This study was approved by the Wright State University Institutional Review Board and the VADHS Research and Development Committee.
RESULTS
Of 557 patient charts studied, 100 patients were included; the mean (SD) age at nodule diagnosis was 62.4 (11.1) years, and the mean (SD) initial thyrotropin level at nodule diagnosis was 1.51 (0.87) μIU/mL. The mean (SD) most recent thyrotropin level was 1.60 (1.03) μIU/mL after a mean duration of 5.7 (2.5) years postnodule diagnosis (Table 2).
Six patients (6%; 95% CI, 2.5%-12.7%) who had a normal thyrotropin level at nodule diagnosis developed an abnormal thyrotropin level in a mean (SD) of 6.9 (3.1) years. These 6 patients had a mean age at nodule diagnosis of 69.2 (11.4) years. Five of the 6 were male, and all were White patients. One patient’s thyrotropin level rose from an initial thyrotropin of 3.38 μIU/mL at nodule diagnosis to a high of 7.76 μIU/mL after 8.5 years. This patient was diagnosed with subclinical hypothyroidism and did not require treatment.
Five patients’ thyrotropin levels dropped below normal in a mean 7 years, with levels ranging from 0.25 to 0.52 μIU/mL. Of these patients, 2 became symptomatic from the nodules, experiencing dysphagia or hoarseness, with 1 diagnosed with hyperthyroidism. This patient was treated with methimazole and radioactive iodine ablation 9 years after diagnosis. The other 3 patients who developed low thyrotropin had no nodule symptoms or treatment. Ninety-four patients maintained thyrotropin values in the normal range for a mean (SD) of 5.7 (2.5) years and had a mean (SD) age at nodule diagnosis of 61.9 (11.0) years.
Both thyrotropin groups were compared. For categorical variables, there were no significant differences for sex (
Of note, the VADHS changed the type of blood sample used to generate thyrotropin values from serum to plasma and had 3 different normal reference ranges during the 2010 to 2016 period studied. The thyrotropin values fell into 4 categories: serum sample with normal range 0.4 to 5.5 μIU/mL, serum sample with normal range 0.4 to 4.0 μIU/mL, plasma sample with normal range 0.4 to 4.0 μIU/mL, and plasma sample with normal range 0.6 to 4.8 μIU/mL. There were no significant differences between the abnormal and normal most recent thyrotropin groups in sample type for initial or most recent thyrotropin (P = .44 and P = .99, respectively) or in normal range for initial or most recent thyrotropin level (P = .99 and P = .09, respectively).
DISCUSSION
We found no statistically significant change in blood thyrotropin levels over time among patients with thyroid nodules with no history of medical conditions or medications known to affect thyroid hormone levels. Six of 100 patients developed abnormal thyrotropin, but only 2 eventually were treated for thyroid dysfunction: 1 for hypothyroidism and 1 for hyperthyroidism. The other 4 patients who did not receive treatment developed low thyrotropin but had no official diagnosis of hyperthyroidism in their health records, seemingly due to lack of multiple, consistently low thyrotropin values or due to lack of follow-up. Based on these data, monitoring thyrotropin over time may not be necessary in patients without any medical history known to affect thyroid function. The results provide support for the original hypothesis.
Although only thyrotropin values at the time of nodule diagnosis and most recent thyrotropin values were analyzed, thyrotropin trends over time were considered. Some patients did have transient abnormal thyrotropin values; however, a search of the patients’ records showed that these transient abnormalities did not lead to any initiation of hypothyroidism or hyperthyroidism treatment.
Another consideration is that changes in the sample type processed and in the normal thyrotropin ranges over time could have been confounding variables. However, statistical analyses showed that the abnormal and normal most recent thyrotropin groups did not show any significant differences in sample type or reference range for either the initial or most recent thyrotropin values. Hospitals change the laboratory assays they use for clinical tests over time, but these changes likely did not affect the results of this study.
The data from this study showed similar results to previously reported research. This study found that 6% of patients developed abnormal thyrotropin levels over time. A study of 157 patients with nonfunctioning benign thyroid nodules found that 8.3% of patients developed thyroid dysfunction.5 In another follow-up study on patients with thyroid nodules who were otherwise euthyroid, 2 of 118 patients eventually received treatment for hyperthyroidism.6 In the current study, we report that just 1 of 100 included patients had to begin treatment for hyperthyroidism.
The literature also includes research on using thyrotropin and age to predict malignancy in patients with thyroid nodules. One study suggested that a thyrotropin cutoff point of ≥ 2.1 mU/I and an age cutoff point of ≥ 47 years were significantly associated with a diagnosis of malignancy.7 Although the current study did not study malignancy, the results showed that the mean age at nodule diagnosis was higher in patients who had abnormal vs normal most recent thyrotropin levels: 69 vs 62 years, respectively. Future studies could determine whether a certain initial thyrotropin value or age could be used as a cutoff for requiring further thyrotropin monitoring to check for development of hyperthyroidism or hypothyroidism.
Limitations
This study was limited by its small size of 100 subjects. Most patients had to be excluded to focus on the aim of determining whether thyrotropin monitoring is needed in the specific group of patients without medical history that would be expected to affect thyroid function. Another limitation was that 83% of the patients included in the study were male, which does not reflect the general population. Future studies should include a greater number of patients and aim for a balance of 50% male and 50% female patients.
Additionally, it is important to note that the changing definition of the normal thyrotropin range was a limitation. It is possible that some patients who were considered normal at the time of a particular thyrotropin measurement may have had an abnormal reading if measured at a different time. Another consideration is that the VADHS changed the type of blood sample used to generate thyrotropin values from serum to plasma during the time that analyzed thyrotropin values were measured. This could have led to different thyrotropin values and, therefore, different results of this study compared with if the sample type had stayed the same. However, a previous study showed very similar thyrotropin values generated from serum and plasma samples in 17 patients.8 Therefore, possibly the change in sample type in the current study only minimally affected the results.
CONCLUSIONS
Current American Thyroid Association guidelines do not specify recommendations for follow-up thyrotropin testing in patients with thyroid nodules who do not have a history of conditions or medications known to affect thyroid hormone levels.1 This study suggests that repeat thyrotropin monitoring may not be necessary for this group of patients. Individuals who had an abnormal most recent thyrotropin had an older age at thyroid nodule diagnosis compared with patients who had a normal most recent thyrotropin, so it is possible that thyrotropin monitoring may be recommended for people with nodules who are above a certain age. The results of this study as well as future studies could help create new clinical recommendations for thyrotropin monitoring in patients with thyroid nodules that clinicians can use to make evidence-based clinical decisions. There would also be a decreased financial, physical, and time burden on the patients if guidelines specify that they are not required to get continued blood thyrotropin testing.
Acknowledgments
The authors acknowledge Ronald J. Markert, PhD, formerly of Wright State University Boonshoft School of Medicine, for his contributions to the statistical analysis of this research.
When thyroid nodules are found clinically or incidentally on imaging, the patient’s thyrotropin level should be measured.1 Ultrasound is the first-line imaging recommended to assess thyroid nodules.1,2 Nodules can then be evaluated by a fine-needle aspiration (FNA) biopsy, which provides cytological information to determine whether the nodule is benign or malignant.1,3,4 Most thyroid nodules pose a low risk of malignancy.1
The American Thyroid Association guidelines on thyroid nodule management do not specify any recommendations for follow-up thyrotropin testing in patients who do not have any history that is known to affect thyroid function.1 Therefore, clinicians have to make decisions regarding follow-up testing in these patients without any evidence-based guidelines. There is a lack of data in the literature on whether thyrotropin levels change over time in this patient population. If thyrotropin levels do not become abnormal over time, then patients would not need thyrotropin monitoring or treatment for hypo- or hyperthyroidism.
The aim of this study was to determine whether thyrotropin levels change over time in patients with thyroid nodules and determine whether repeat thyrotropin testing was required after initial testing. The authors hypothesized that thyrotropin values do not change substantially over time in patients with thyroid nodules, except in patients with a history of hot nodules, autoimmune thyroid disease, thyroid or pituitary surgery, radioactive iodine ablation, neck radiation, or use of medications affecting thyroid function. This study may be able to contribute to the clinical guidelines for thyrotropin testing in patients with thyroid nodules so that clinicians can make evidence-based decisions.
METHODS
This retrospective chart review was conducted using the Computerized Patient Record System at the Veterans Affairs Dayton Healthcare System (VADHS) in Ohio. Patients aged ≥ 18 years who were diagnosed with ≥ 1 thyroid nodule from January 2010 to December 2016 and had a normal thyrotropin level at the time of diagnosis were included in the study. Patients who were found to have thyroid nodules multiple times were included only once from the time of the initial diagnosis. Patients were excluded if they had a medical history known to affect thyroid function. Exclusion criteria included a history of hot thyroid nodules; autoimmune thyroid disease on imaging or blood work; history of thyroid surgery, including pituitary surgery; history of radioactive iodine treatment; history of neck radiation; use of thyroxine before nodule diagnosis; use of amiodarone, programmed cell death-1 inhibitors, programmed cell death ligand-1 inhibitors, or cytotoxic T-lymphocyte-associated protein-4 inhibitors; or 3 consecutive months of steroid use.
Age at nodule diagnosis, sex, race, thyrotropin values at and after the time of nodule diagnosis, and duration from nodule diagnosis to most recent thyrotropin value were retrospectively collected until 100 patients met inclusion criteria for the study. Of note, from 2010 to 2016, the assays used at the VADHS to measure thyrotropin values changed over time, as did the normal reference ranges and the type of sample used for the assays. Normal thyrotropin range at time of diagnosis based on serum or plasma samples and for repeat thyrotropin levels are provided in Table 1, also based on serum or plasma samples. All collected data in the study was de-identified for analysis.
Statistical Analysis
Patients were divided into 2 groups: those who had an abnormal most recent thyrotropin value and those who did not. Mean (SD) of both groups was calculated for continuous variables of age at diagnosis, initial thyrotropin value and most recent thyrotropin value, and time from diagnosis to most recent thyrotropin value. Percentages for both groups were calculated for categorical variables of sex, race, and whether initial and most recent thyrotropin values were based on serum or plasma samples and old or new reference ranges. A 95% CI was determined for the true population rate of patients with an abnormal thyrotropin value at most recent testing. Independent sample t tests were used to compare the continuous variables between the abnormal and normal most recent thyrotropin groups. Categorical variables between the 2 groups were compared using χ2 tests. P < .05 was considered statistically significant. Statistical analyses were completed using IBM SPSS Statistics 27. This study was approved by the Wright State University Institutional Review Board and the VADHS Research and Development Committee.
RESULTS
Of 557 patient charts studied, 100 patients were included; the mean (SD) age at nodule diagnosis was 62.4 (11.1) years, and the mean (SD) initial thyrotropin level at nodule diagnosis was 1.51 (0.87) μIU/mL. The mean (SD) most recent thyrotropin level was 1.60 (1.03) μIU/mL after a mean duration of 5.7 (2.5) years postnodule diagnosis (Table 2).
Six patients (6%; 95% CI, 2.5%-12.7%) who had a normal thyrotropin level at nodule diagnosis developed an abnormal thyrotropin level in a mean (SD) of 6.9 (3.1) years. These 6 patients had a mean age at nodule diagnosis of 69.2 (11.4) years. Five of the 6 were male, and all were White patients. One patient’s thyrotropin level rose from an initial thyrotropin of 3.38 μIU/mL at nodule diagnosis to a high of 7.76 μIU/mL after 8.5 years. This patient was diagnosed with subclinical hypothyroidism and did not require treatment.
Five patients’ thyrotropin levels dropped below normal in a mean 7 years, with levels ranging from 0.25 to 0.52 μIU/mL. Of these patients, 2 became symptomatic from the nodules, experiencing dysphagia or hoarseness, with 1 diagnosed with hyperthyroidism. This patient was treated with methimazole and radioactive iodine ablation 9 years after diagnosis. The other 3 patients who developed low thyrotropin had no nodule symptoms or treatment. Ninety-four patients maintained thyrotropin values in the normal range for a mean (SD) of 5.7 (2.5) years and had a mean (SD) age at nodule diagnosis of 61.9 (11.0) years.
Both thyrotropin groups were compared. For categorical variables, there were no significant differences for sex (
Of note, the VADHS changed the type of blood sample used to generate thyrotropin values from serum to plasma and had 3 different normal reference ranges during the 2010 to 2016 period studied. The thyrotropin values fell into 4 categories: serum sample with normal range 0.4 to 5.5 μIU/mL, serum sample with normal range 0.4 to 4.0 μIU/mL, plasma sample with normal range 0.4 to 4.0 μIU/mL, and plasma sample with normal range 0.6 to 4.8 μIU/mL. There were no significant differences between the abnormal and normal most recent thyrotropin groups in sample type for initial or most recent thyrotropin (P = .44 and P = .99, respectively) or in normal range for initial or most recent thyrotropin level (P = .99 and P = .09, respectively).
DISCUSSION
We found no statistically significant change in blood thyrotropin levels over time among patients with thyroid nodules with no history of medical conditions or medications known to affect thyroid hormone levels. Six of 100 patients developed abnormal thyrotropin, but only 2 eventually were treated for thyroid dysfunction: 1 for hypothyroidism and 1 for hyperthyroidism. The other 4 patients who did not receive treatment developed low thyrotropin but had no official diagnosis of hyperthyroidism in their health records, seemingly due to lack of multiple, consistently low thyrotropin values or due to lack of follow-up. Based on these data, monitoring thyrotropin over time may not be necessary in patients without any medical history known to affect thyroid function. The results provide support for the original hypothesis.
Although only thyrotropin values at the time of nodule diagnosis and most recent thyrotropin values were analyzed, thyrotropin trends over time were considered. Some patients did have transient abnormal thyrotropin values; however, a search of the patients’ records showed that these transient abnormalities did not lead to any initiation of hypothyroidism or hyperthyroidism treatment.
Another consideration is that changes in the sample type processed and in the normal thyrotropin ranges over time could have been confounding variables. However, statistical analyses showed that the abnormal and normal most recent thyrotropin groups did not show any significant differences in sample type or reference range for either the initial or most recent thyrotropin values. Hospitals change the laboratory assays they use for clinical tests over time, but these changes likely did not affect the results of this study.
The data from this study showed similar results to previously reported research. This study found that 6% of patients developed abnormal thyrotropin levels over time. A study of 157 patients with nonfunctioning benign thyroid nodules found that 8.3% of patients developed thyroid dysfunction.5 In another follow-up study on patients with thyroid nodules who were otherwise euthyroid, 2 of 118 patients eventually received treatment for hyperthyroidism.6 In the current study, we report that just 1 of 100 included patients had to begin treatment for hyperthyroidism.
The literature also includes research on using thyrotropin and age to predict malignancy in patients with thyroid nodules. One study suggested that a thyrotropin cutoff point of ≥ 2.1 mU/I and an age cutoff point of ≥ 47 years were significantly associated with a diagnosis of malignancy.7 Although the current study did not study malignancy, the results showed that the mean age at nodule diagnosis was higher in patients who had abnormal vs normal most recent thyrotropin levels: 69 vs 62 years, respectively. Future studies could determine whether a certain initial thyrotropin value or age could be used as a cutoff for requiring further thyrotropin monitoring to check for development of hyperthyroidism or hypothyroidism.
Limitations
This study was limited by its small size of 100 subjects. Most patients had to be excluded to focus on the aim of determining whether thyrotropin monitoring is needed in the specific group of patients without medical history that would be expected to affect thyroid function. Another limitation was that 83% of the patients included in the study were male, which does not reflect the general population. Future studies should include a greater number of patients and aim for a balance of 50% male and 50% female patients.
Additionally, it is important to note that the changing definition of the normal thyrotropin range was a limitation. It is possible that some patients who were considered normal at the time of a particular thyrotropin measurement may have had an abnormal reading if measured at a different time. Another consideration is that the VADHS changed the type of blood sample used to generate thyrotropin values from serum to plasma during the time that analyzed thyrotropin values were measured. This could have led to different thyrotropin values and, therefore, different results of this study compared with if the sample type had stayed the same. However, a previous study showed very similar thyrotropin values generated from serum and plasma samples in 17 patients.8 Therefore, possibly the change in sample type in the current study only minimally affected the results.
CONCLUSIONS
Current American Thyroid Association guidelines do not specify recommendations for follow-up thyrotropin testing in patients with thyroid nodules who do not have a history of conditions or medications known to affect thyroid hormone levels.1 This study suggests that repeat thyrotropin monitoring may not be necessary for this group of patients. Individuals who had an abnormal most recent thyrotropin had an older age at thyroid nodule diagnosis compared with patients who had a normal most recent thyrotropin, so it is possible that thyrotropin monitoring may be recommended for people with nodules who are above a certain age. The results of this study as well as future studies could help create new clinical recommendations for thyrotropin monitoring in patients with thyroid nodules that clinicians can use to make evidence-based clinical decisions. There would also be a decreased financial, physical, and time burden on the patients if guidelines specify that they are not required to get continued blood thyrotropin testing.
Acknowledgments
The authors acknowledge Ronald J. Markert, PhD, formerly of Wright State University Boonshoft School of Medicine, for his contributions to the statistical analysis of this research.
1. Haugen BR, Alexander EK, Bible KC, et al. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid. 2016;26(1):1-133. doi:10.1089/thy.2015.0020
2. Chambara N, Liu SYW, Lo X, Ying M. Diagnostic performance evaluation of different TI-RADS using ultrasound computer-aided diagnosis of thyroid nodules: an experience with adjusted settings. PLoS One. 2021;16(1):e0245617. doi:10.1371/journal.pone.0245617
3. Livhits MJ, Zhu CY, Kuo EJ, et al. Effectiveness of molecular testing techniques for diagnosis of indeterminate thyroid nodules: a randomized clinical trial. JAMA Oncol. 2021;7(1):70-77. doi:10.1001/jamaoncol.2020.5935
4. Grani G, Lamartina L, Ascoli V, et al. Reducing the number of unnecessary thyroid biopsies while improving diagnostic accuracy: toward the “right” TIRADS. J Clin Endocrinol Metab. 2019;104(1):95-102. doi:10.1210/jc.2018-01674
5. Memon R, Salgado Nunez Del Prado SR, Lamos EM, et al. Biochemical follow-up of nonfunctioning benign thyroid nodules. Clin Endocrinol (Oxf). 2021;94(2):322-329. doi:10.1111/cen.14303
6. Bajuk Studen K, Gaberscek S, Pirnat E, Zaletel K. Five-year follow-up and clinical outcome in euthyroid patients with thyroid nodules. Radiol Oncol. 2021;55(3):317-322. Published 2021 May 31. doi:10.2478/raon-2021-0025
7. Fernández-Trujillo C, Pérez-Zaballos J, Rodríguez-Pérez CA, et al. TSH level and risk of malignancy in patients with Bethesda category IV thyroid nodules. Horm Cancer. 2020;11(3-4):200-204. doi:10.1007/s12672-020-00384-4
8. Villanger GD, Learner E, Longnecker MP, et al. Effects of sample handling and analytical procedures on thyroid hormone concentrations in pregnant women’s plasma. Epidemiology. 2017;28(3):365-369. doi:10.1097/EDE.0000000000000606
1. Haugen BR, Alexander EK, Bible KC, et al. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid. 2016;26(1):1-133. doi:10.1089/thy.2015.0020
2. Chambara N, Liu SYW, Lo X, Ying M. Diagnostic performance evaluation of different TI-RADS using ultrasound computer-aided diagnosis of thyroid nodules: an experience with adjusted settings. PLoS One. 2021;16(1):e0245617. doi:10.1371/journal.pone.0245617
3. Livhits MJ, Zhu CY, Kuo EJ, et al. Effectiveness of molecular testing techniques for diagnosis of indeterminate thyroid nodules: a randomized clinical trial. JAMA Oncol. 2021;7(1):70-77. doi:10.1001/jamaoncol.2020.5935
4. Grani G, Lamartina L, Ascoli V, et al. Reducing the number of unnecessary thyroid biopsies while improving diagnostic accuracy: toward the “right” TIRADS. J Clin Endocrinol Metab. 2019;104(1):95-102. doi:10.1210/jc.2018-01674
5. Memon R, Salgado Nunez Del Prado SR, Lamos EM, et al. Biochemical follow-up of nonfunctioning benign thyroid nodules. Clin Endocrinol (Oxf). 2021;94(2):322-329. doi:10.1111/cen.14303
6. Bajuk Studen K, Gaberscek S, Pirnat E, Zaletel K. Five-year follow-up and clinical outcome in euthyroid patients with thyroid nodules. Radiol Oncol. 2021;55(3):317-322. Published 2021 May 31. doi:10.2478/raon-2021-0025
7. Fernández-Trujillo C, Pérez-Zaballos J, Rodríguez-Pérez CA, et al. TSH level and risk of malignancy in patients with Bethesda category IV thyroid nodules. Horm Cancer. 2020;11(3-4):200-204. doi:10.1007/s12672-020-00384-4
8. Villanger GD, Learner E, Longnecker MP, et al. Effects of sample handling and analytical procedures on thyroid hormone concentrations in pregnant women’s plasma. Epidemiology. 2017;28(3):365-369. doi:10.1097/EDE.0000000000000606
Elective Hand Surgery and Antithrombotic Use in Veterans
Patients planning plastic surgery traditionally were instructed to stop anticoagulants and antiplatelet medications during the perioperative period to avoid bleeding, which could result in flap loss, pain, skin necrosis, and blood transfusions. In the veteran patient population, anticoagulants are prescribed for the prevention of limb- and life-threatening embolic and thrombotic events.1-3 As of June 2021, > 332,000 veterans were prescribed direct oral anticoagulants.1
In 2015, the Malcom Randall Veterans Affairs Medical Center (MRVAMC) in Gainesville, Florida, Plastic Surgery Service began instructing patients planning elective hand surgery to continue their prescription anticoagulants and antiplatelets during the perioperative period. This decision was prompted by a patient who needed carpal tunnel release surgery and was prescribed coumadin for repeated thrombosis of his dialysis grafts. Hand surgery literature at the time suggested allowing patients to continue their anticoagulants and antiplatelets through the perioperative period to avoid life- and limb-threatening events and wide fluctuations in blood anticoagulant levels.4-6 The MRVAMC Plastic Surgery Service chose to accept the risk of perioperative bleeding after shared decision making with the patients rather than risk a cardiac stent obstruction, pulmonary embolism, or embolic stroke in the at-risk patients.
The objective of this study was to determine the postoperative bleeding complication rate over a 7.5-year period in the veteran patients who did not interrupt their prescription blood thinners. This would assist the MRVAMC Plastic Surgery Service with providing data-driven informed consent and determine whether this protocol should continue.
Methods
The North Florida/South Georgia Veterans Health System Research Committee and the University of Florida Institutional Review Board approved a retrospective chart review of elective hand cases performed by the MRVAMC Plastic Surgery Service from January 1, 2015, through June 30, 2022. Elective hand cases were identified based on the operation description and included nerve decompressions, tendon releases, trapeziectomy, small-joint fusion, neurectomy, elective amputations, and benign neoplasm removals (Table). Hand surgery included cubital tunnel releases (decompression of the ulnar nerve at the level of the elbow) because hand surgery fellowships, hand surgery training, and hand surgery practices traditionally include a high volume of cubital tunnel releases. We wanted this study to have real-world applications.
Patients’ histories and physicals were reviewed for prescription antithrombotics and for instructions not to interrupt these medications. Postoperative notes were reviewed for 30 days for evidence of postoperative bleeding complications.
The following prescription anticoagulants were included in the study: dabigatran, rivaroxaban, warfarin, edoxaban, and apixaban. In addition, the following prescription antiplatelets were included in the study:
Results
One hundred seventy-eight patients were identified for maintaining prescription blood thinners during their elective hand surgery. There was 1 major complication (0.6%) and 4 minor bleeding complications (2.2%). The major complication occurred when a patient had to return to surgery from the recovery room for emergent control of bleeding. The surgery was for an in situ cubital tunnel release. The patient, aged 48 years, was taking clopidogrel and aspirin and had a personal and family history of cardiovascular disease. The bleeding was controlled with bipolar cautery and Floseal, a topical haemostatic matrix made of bovine gelatin and human thrombin. The minor bleeding complications were treated in the clinic with compression, wound care, or expedited follow-up for reassurance. These included an in situ cubital tunnel release for a patient taking warfarin and aspirin, a digital inclusion cyst for a patient taking apixaban, an endoscopic carpal tunnel for a patient taking aspirin and clopidogrel, and an open carpal tunnel and ulnar tunnel release for a patient taking aspirin and clopidogrel. There were no thrombotic events during the study.
Discussion
Higher utilization of anticoagulation has been evidenced by a 30% increase in Medicare claims and a 277% increase in Medicaid anticoagulation claims between 2014 and 2019, driven by more prescriptions for direct oral anticoagulants such as apixaban and rivaroxaban.7 The MRVAMC Plastic Surgery Service began a protocol for managing perioperative anticoagulation in 2015 to avoid the risk of perioperative thrombotic events in veteran patients. Patients who choose elective hand surgery were instructed to continue their prescription blood thinners. Exceptions to this protocol were patients scheduled for a partial fasciectomy (for Dupuytren contracture) or cubital tunnel release with anterior ulnar nerve transposition. A hematoma would increase the risk for skin necrosis in the patients receiving a fasciectomy, resulting from the thin skin flaps and meticulous dissection to identify and protect the digital nerves. Worsening nerve dysfunction could result from hematoma compression and scarring in the ulnar nerve cases. If the risk of holding the blood thinner was felt to be unreasonably high, based on recommendations from the patients’ cardiologist or primary care doctor, we offered an in situ cubital tunnel release for the ulnar nerve patients.
Concerns regarding interrupting chronic anticoagulation involve the increased risk of thromboembolism and the theoretical risk of a rebound hypercoagulable effect.8 Patients prescribed warfarin have been found to unintentionally discontinue this medication after outpatient surgery at more than 1.5 times the rate of the general population.9
A systematic review of 9 published studies looking specifically at elective hand and wrist surgeries demonstrated no significant increase in perioperative bleeding risk with the continuation of anticoagulation and antiplatelet medications.10 Sardenberg and colleagues reviewed 7 studies in which 410 hand and wrist surgeries were performed in patients prescribed warfarin or aspirin and clopidogrel. These patients had a 0.7% serious complication rate, requiring surgical treatment only in patients having complex wrist surgeries (wrist arthrodesis with tenosynovectomy, resection of the distal ulna with tenosynovectomy and tendon transfer, and proximal row carpectomy).11 Bogunovic and colleagues compared 50 hand and wrist patients who were on uninterrupted warfarin with those who were not. They required patients to have an
These and our study are consistent with other disciplines, such as facial plastic surgery, dermatology, and ophthalmology, which do not support routine suspension of anticoagulants.13-16 A review of 30 cutaneous surgery studies involving > 14,000 patients recommended meticulous hemostasis over cessation of blood thinners.15 The University of Massachusetts Dermatology Clinic found a 40 times higher rate of bleeding complications in patients on clopidogrel and warfarin but still recommended continuation of these medications to avoid thrombotic events.16
Limitations
This study is a retrospective chart review and limited by what is already documented in the electronic health record. We can verify that the patients were given instructions to continue their medications up to the day of surgery but cannot be certain whether the instructions were followed. No control group was told to hold their anticoagulants for the same surgery. Once we decided on a protocol, we applied it to all patients. The study approval was for the specific time frame when the protocol was in place.
Our study was designed for elective hand cases because those surgeries can be anticipated, predicted, and patients can be given instructions during the preoperative appointments. We did incidentally find several nonelective hand cases (traumas, infections, and cancers) during the review of patients taking prescription blood thinners that had to be expedited to the operating room. Based on morbidity data during that time period, there were no additional postoperative hand surgery bleeding complications that had to return to the operating room. Future studies are indicated, but we believe our protocol can be applied to urgent and emergent hand surgeries as well as elective cases.
Conclusions
Our study supports continuing prescription anticoagulant and antiplatelet medications during the perioperative period for elective hand surgery. We found this is a safe practice in our veteran population with an acceptably low local bleeding complication rate.
Acknowledgments
This manuscript is the result of work supported with the resources and the use of facilities at the North Florida/South Georgia Veterans Health System in Gainesville, Florida.
1. Allen AL, Lucas J, Parra D, et al. Shifting the paradigm: a population health approach to the management of direct oral anticoagulants. J Am Heart Assoc. 2021;10(24):e022758. doi:10.1161/JAHA.121.022758
2. Buck J, Kaboli P, Gage BF, Cram P, Vaughan Sarrazin MS. Trends in antithrombotic therapy for atrial fibrillation: data from the Veterans Health Administration health system. Am Heart J. 2016;179:186-191. doi:10.1016/j.ahj.2016.03.029
3. Kinlay S, Young MM, Sherrod R, Gagnon DR. Long-term outcomes and duration of dual antiplatelet therapy after coronary intervention with second-generation drug-eluting stents: the Veterans Affairs Extended DAPT Study. J Am Heart Assoc. 2023;12(2):e027055.
4. Bogunovic L, Gelberman RH, Goldfarb CA, Boyer MI, Calfee RP. The impact of antiplatelet medication on hand and wrist surgery. J Hand Surg Am. 2013;38(6):1063-1070. doi:10.1016/j.jhsa.2013.03.034
5. Wallace DL, Latimer MD, Belcher HJ. Stopping warfarin therapy is unnecessary for hand surgery. J Hand Surg Br. 2004;29(3):203-205. doi:10.1016/j.jhsb.2003.12.008
6. Edmunds I, Avakian Z. Hand surgery on anticoagulated patients: a prospective study of 121 operations. Hand Surg. 2010;15(2):109-113. doi:10.1142/S021881041000468
7. Duvalyan A, Pandey A, Vaduganathan M, et al. Trends in anticoagulation prescription spending among Medicare Part D and Medicaid beneficiaries between 2014 and 2019. J Am Heart Assoc. 2021;10(24):e022644. doi:10.1161/JAHA.121.022644
8. Thakur NA, Czerwein JK, Butera JN, Palumbo MA. Perioperative management of chronic anticoagulation in orthopaedic surgery. J Am Acad Orthop Surg. 2010;18(12):729-738. doi:10.5435/00124635-201012000-00003
9. Bell C, Bajca J, Bierman A, Li P, Mamdani M, Urbach D. Potentially unintended discontinuation of long-term medication use after elective surgical procedures. Arch Int Med. 2003;166(22):2525-2531.
10. Stone MJ, Wilks DJ, Wade RG. Hand and wrist surgery on anticoagulants and antiplatelets: a systematic review and meta-analysis. J Plast Reconstr Aesthet Surg. 2020;73(8):1413-1423.
11. Sardenberg T, Deienno FS, Miranda RF, et al. Hand and wrist surgery without suspending warfarin or oral antiplatelet - systematic review. Rev Bras Ortop. 2017;52(4):390-395. doi:10.1016/j.rboe.2017.07.001
12. Bogunovic L, Gelberman RH, Goldfarb CA, Boyer MI, Calfee RP. The impact of uninterrupted warfarin on hand and wrist surgery. J Hand Surg Am. 2015;40(11):2133-2140. doi:10.1016/j.jhsa.2015.07.037
13. Kraft CT, Bellile E, Baker SR, Kim JC, Moyer JS. Anticoagulant complications in facial plastic and reconstructive surgery. JAMA Facial Plast Surg. 2015;17(2):103-107. doi:10.1001/jamafacial.2014.1147
14. He X, Chen AF, Nirwan RS, Sridhar J, Kuriyan AE. Perioperative management of anticoagulants in ocular surgeries. Int Ophthalmol Clin. 2020;60(3):3-15. doi:10.1097/IIO.0000000000000316
15. Isted A, Cooper L, Colville RJ. Bleeding on the cutting edge: a systematic review of anticoagulant and antiplatelet continuation in minor cutaneous surgery. J Plast Reconstr Aesthet Surg. 2018;71(4):455-467. doi:10.1016/j.bjps.2017.11.024
16. Bordeaux JS, Martires KJ, Goldberg D, Pattee SF, Fu P, Maloney ME. Prospective evaluation of dermatologic surgery complications including patients on multiple antiplatelet and anticoagulant medications. J Am Acad Dermatol. 2011;65(3):576-583. doi:10.1016/j.jaad.2011.02.012
Patients planning plastic surgery traditionally were instructed to stop anticoagulants and antiplatelet medications during the perioperative period to avoid bleeding, which could result in flap loss, pain, skin necrosis, and blood transfusions. In the veteran patient population, anticoagulants are prescribed for the prevention of limb- and life-threatening embolic and thrombotic events.1-3 As of June 2021, > 332,000 veterans were prescribed direct oral anticoagulants.1
In 2015, the Malcom Randall Veterans Affairs Medical Center (MRVAMC) in Gainesville, Florida, Plastic Surgery Service began instructing patients planning elective hand surgery to continue their prescription anticoagulants and antiplatelets during the perioperative period. This decision was prompted by a patient who needed carpal tunnel release surgery and was prescribed coumadin for repeated thrombosis of his dialysis grafts. Hand surgery literature at the time suggested allowing patients to continue their anticoagulants and antiplatelets through the perioperative period to avoid life- and limb-threatening events and wide fluctuations in blood anticoagulant levels.4-6 The MRVAMC Plastic Surgery Service chose to accept the risk of perioperative bleeding after shared decision making with the patients rather than risk a cardiac stent obstruction, pulmonary embolism, or embolic stroke in the at-risk patients.
The objective of this study was to determine the postoperative bleeding complication rate over a 7.5-year period in the veteran patients who did not interrupt their prescription blood thinners. This would assist the MRVAMC Plastic Surgery Service with providing data-driven informed consent and determine whether this protocol should continue.
Methods
The North Florida/South Georgia Veterans Health System Research Committee and the University of Florida Institutional Review Board approved a retrospective chart review of elective hand cases performed by the MRVAMC Plastic Surgery Service from January 1, 2015, through June 30, 2022. Elective hand cases were identified based on the operation description and included nerve decompressions, tendon releases, trapeziectomy, small-joint fusion, neurectomy, elective amputations, and benign neoplasm removals (Table). Hand surgery included cubital tunnel releases (decompression of the ulnar nerve at the level of the elbow) because hand surgery fellowships, hand surgery training, and hand surgery practices traditionally include a high volume of cubital tunnel releases. We wanted this study to have real-world applications.
Patients’ histories and physicals were reviewed for prescription antithrombotics and for instructions not to interrupt these medications. Postoperative notes were reviewed for 30 days for evidence of postoperative bleeding complications.
The following prescription anticoagulants were included in the study: dabigatran, rivaroxaban, warfarin, edoxaban, and apixaban. In addition, the following prescription antiplatelets were included in the study:
Results
One hundred seventy-eight patients were identified for maintaining prescription blood thinners during their elective hand surgery. There was 1 major complication (0.6%) and 4 minor bleeding complications (2.2%). The major complication occurred when a patient had to return to surgery from the recovery room for emergent control of bleeding. The surgery was for an in situ cubital tunnel release. The patient, aged 48 years, was taking clopidogrel and aspirin and had a personal and family history of cardiovascular disease. The bleeding was controlled with bipolar cautery and Floseal, a topical haemostatic matrix made of bovine gelatin and human thrombin. The minor bleeding complications were treated in the clinic with compression, wound care, or expedited follow-up for reassurance. These included an in situ cubital tunnel release for a patient taking warfarin and aspirin, a digital inclusion cyst for a patient taking apixaban, an endoscopic carpal tunnel for a patient taking aspirin and clopidogrel, and an open carpal tunnel and ulnar tunnel release for a patient taking aspirin and clopidogrel. There were no thrombotic events during the study.
Discussion
Higher utilization of anticoagulation has been evidenced by a 30% increase in Medicare claims and a 277% increase in Medicaid anticoagulation claims between 2014 and 2019, driven by more prescriptions for direct oral anticoagulants such as apixaban and rivaroxaban.7 The MRVAMC Plastic Surgery Service began a protocol for managing perioperative anticoagulation in 2015 to avoid the risk of perioperative thrombotic events in veteran patients. Patients who choose elective hand surgery were instructed to continue their prescription blood thinners. Exceptions to this protocol were patients scheduled for a partial fasciectomy (for Dupuytren contracture) or cubital tunnel release with anterior ulnar nerve transposition. A hematoma would increase the risk for skin necrosis in the patients receiving a fasciectomy, resulting from the thin skin flaps and meticulous dissection to identify and protect the digital nerves. Worsening nerve dysfunction could result from hematoma compression and scarring in the ulnar nerve cases. If the risk of holding the blood thinner was felt to be unreasonably high, based on recommendations from the patients’ cardiologist or primary care doctor, we offered an in situ cubital tunnel release for the ulnar nerve patients.
Concerns regarding interrupting chronic anticoagulation involve the increased risk of thromboembolism and the theoretical risk of a rebound hypercoagulable effect.8 Patients prescribed warfarin have been found to unintentionally discontinue this medication after outpatient surgery at more than 1.5 times the rate of the general population.9
A systematic review of 9 published studies looking specifically at elective hand and wrist surgeries demonstrated no significant increase in perioperative bleeding risk with the continuation of anticoagulation and antiplatelet medications.10 Sardenberg and colleagues reviewed 7 studies in which 410 hand and wrist surgeries were performed in patients prescribed warfarin or aspirin and clopidogrel. These patients had a 0.7% serious complication rate, requiring surgical treatment only in patients having complex wrist surgeries (wrist arthrodesis with tenosynovectomy, resection of the distal ulna with tenosynovectomy and tendon transfer, and proximal row carpectomy).11 Bogunovic and colleagues compared 50 hand and wrist patients who were on uninterrupted warfarin with those who were not. They required patients to have an
These and our study are consistent with other disciplines, such as facial plastic surgery, dermatology, and ophthalmology, which do not support routine suspension of anticoagulants.13-16 A review of 30 cutaneous surgery studies involving > 14,000 patients recommended meticulous hemostasis over cessation of blood thinners.15 The University of Massachusetts Dermatology Clinic found a 40 times higher rate of bleeding complications in patients on clopidogrel and warfarin but still recommended continuation of these medications to avoid thrombotic events.16
Limitations
This study is a retrospective chart review and limited by what is already documented in the electronic health record. We can verify that the patients were given instructions to continue their medications up to the day of surgery but cannot be certain whether the instructions were followed. No control group was told to hold their anticoagulants for the same surgery. Once we decided on a protocol, we applied it to all patients. The study approval was for the specific time frame when the protocol was in place.
Our study was designed for elective hand cases because those surgeries can be anticipated, predicted, and patients can be given instructions during the preoperative appointments. We did incidentally find several nonelective hand cases (traumas, infections, and cancers) during the review of patients taking prescription blood thinners that had to be expedited to the operating room. Based on morbidity data during that time period, there were no additional postoperative hand surgery bleeding complications that had to return to the operating room. Future studies are indicated, but we believe our protocol can be applied to urgent and emergent hand surgeries as well as elective cases.
Conclusions
Our study supports continuing prescription anticoagulant and antiplatelet medications during the perioperative period for elective hand surgery. We found this is a safe practice in our veteran population with an acceptably low local bleeding complication rate.
Acknowledgments
This manuscript is the result of work supported with the resources and the use of facilities at the North Florida/South Georgia Veterans Health System in Gainesville, Florida.
Patients planning plastic surgery traditionally were instructed to stop anticoagulants and antiplatelet medications during the perioperative period to avoid bleeding, which could result in flap loss, pain, skin necrosis, and blood transfusions. In the veteran patient population, anticoagulants are prescribed for the prevention of limb- and life-threatening embolic and thrombotic events.1-3 As of June 2021, > 332,000 veterans were prescribed direct oral anticoagulants.1
In 2015, the Malcom Randall Veterans Affairs Medical Center (MRVAMC) in Gainesville, Florida, Plastic Surgery Service began instructing patients planning elective hand surgery to continue their prescription anticoagulants and antiplatelets during the perioperative period. This decision was prompted by a patient who needed carpal tunnel release surgery and was prescribed coumadin for repeated thrombosis of his dialysis grafts. Hand surgery literature at the time suggested allowing patients to continue their anticoagulants and antiplatelets through the perioperative period to avoid life- and limb-threatening events and wide fluctuations in blood anticoagulant levels.4-6 The MRVAMC Plastic Surgery Service chose to accept the risk of perioperative bleeding after shared decision making with the patients rather than risk a cardiac stent obstruction, pulmonary embolism, or embolic stroke in the at-risk patients.
The objective of this study was to determine the postoperative bleeding complication rate over a 7.5-year period in the veteran patients who did not interrupt their prescription blood thinners. This would assist the MRVAMC Plastic Surgery Service with providing data-driven informed consent and determine whether this protocol should continue.
Methods
The North Florida/South Georgia Veterans Health System Research Committee and the University of Florida Institutional Review Board approved a retrospective chart review of elective hand cases performed by the MRVAMC Plastic Surgery Service from January 1, 2015, through June 30, 2022. Elective hand cases were identified based on the operation description and included nerve decompressions, tendon releases, trapeziectomy, small-joint fusion, neurectomy, elective amputations, and benign neoplasm removals (Table). Hand surgery included cubital tunnel releases (decompression of the ulnar nerve at the level of the elbow) because hand surgery fellowships, hand surgery training, and hand surgery practices traditionally include a high volume of cubital tunnel releases. We wanted this study to have real-world applications.
Patients’ histories and physicals were reviewed for prescription antithrombotics and for instructions not to interrupt these medications. Postoperative notes were reviewed for 30 days for evidence of postoperative bleeding complications.
The following prescription anticoagulants were included in the study: dabigatran, rivaroxaban, warfarin, edoxaban, and apixaban. In addition, the following prescription antiplatelets were included in the study:
Results
One hundred seventy-eight patients were identified for maintaining prescription blood thinners during their elective hand surgery. There was 1 major complication (0.6%) and 4 minor bleeding complications (2.2%). The major complication occurred when a patient had to return to surgery from the recovery room for emergent control of bleeding. The surgery was for an in situ cubital tunnel release. The patient, aged 48 years, was taking clopidogrel and aspirin and had a personal and family history of cardiovascular disease. The bleeding was controlled with bipolar cautery and Floseal, a topical haemostatic matrix made of bovine gelatin and human thrombin. The minor bleeding complications were treated in the clinic with compression, wound care, or expedited follow-up for reassurance. These included an in situ cubital tunnel release for a patient taking warfarin and aspirin, a digital inclusion cyst for a patient taking apixaban, an endoscopic carpal tunnel for a patient taking aspirin and clopidogrel, and an open carpal tunnel and ulnar tunnel release for a patient taking aspirin and clopidogrel. There were no thrombotic events during the study.
Discussion
Higher utilization of anticoagulation has been evidenced by a 30% increase in Medicare claims and a 277% increase in Medicaid anticoagulation claims between 2014 and 2019, driven by more prescriptions for direct oral anticoagulants such as apixaban and rivaroxaban.7 The MRVAMC Plastic Surgery Service began a protocol for managing perioperative anticoagulation in 2015 to avoid the risk of perioperative thrombotic events in veteran patients. Patients who choose elective hand surgery were instructed to continue their prescription blood thinners. Exceptions to this protocol were patients scheduled for a partial fasciectomy (for Dupuytren contracture) or cubital tunnel release with anterior ulnar nerve transposition. A hematoma would increase the risk for skin necrosis in the patients receiving a fasciectomy, resulting from the thin skin flaps and meticulous dissection to identify and protect the digital nerves. Worsening nerve dysfunction could result from hematoma compression and scarring in the ulnar nerve cases. If the risk of holding the blood thinner was felt to be unreasonably high, based on recommendations from the patients’ cardiologist or primary care doctor, we offered an in situ cubital tunnel release for the ulnar nerve patients.
Concerns regarding interrupting chronic anticoagulation involve the increased risk of thromboembolism and the theoretical risk of a rebound hypercoagulable effect.8 Patients prescribed warfarin have been found to unintentionally discontinue this medication after outpatient surgery at more than 1.5 times the rate of the general population.9
A systematic review of 9 published studies looking specifically at elective hand and wrist surgeries demonstrated no significant increase in perioperative bleeding risk with the continuation of anticoagulation and antiplatelet medications.10 Sardenberg and colleagues reviewed 7 studies in which 410 hand and wrist surgeries were performed in patients prescribed warfarin or aspirin and clopidogrel. These patients had a 0.7% serious complication rate, requiring surgical treatment only in patients having complex wrist surgeries (wrist arthrodesis with tenosynovectomy, resection of the distal ulna with tenosynovectomy and tendon transfer, and proximal row carpectomy).11 Bogunovic and colleagues compared 50 hand and wrist patients who were on uninterrupted warfarin with those who were not. They required patients to have an
These and our study are consistent with other disciplines, such as facial plastic surgery, dermatology, and ophthalmology, which do not support routine suspension of anticoagulants.13-16 A review of 30 cutaneous surgery studies involving > 14,000 patients recommended meticulous hemostasis over cessation of blood thinners.15 The University of Massachusetts Dermatology Clinic found a 40 times higher rate of bleeding complications in patients on clopidogrel and warfarin but still recommended continuation of these medications to avoid thrombotic events.16
Limitations
This study is a retrospective chart review and limited by what is already documented in the electronic health record. We can verify that the patients were given instructions to continue their medications up to the day of surgery but cannot be certain whether the instructions were followed. No control group was told to hold their anticoagulants for the same surgery. Once we decided on a protocol, we applied it to all patients. The study approval was for the specific time frame when the protocol was in place.
Our study was designed for elective hand cases because those surgeries can be anticipated, predicted, and patients can be given instructions during the preoperative appointments. We did incidentally find several nonelective hand cases (traumas, infections, and cancers) during the review of patients taking prescription blood thinners that had to be expedited to the operating room. Based on morbidity data during that time period, there were no additional postoperative hand surgery bleeding complications that had to return to the operating room. Future studies are indicated, but we believe our protocol can be applied to urgent and emergent hand surgeries as well as elective cases.
Conclusions
Our study supports continuing prescription anticoagulant and antiplatelet medications during the perioperative period for elective hand surgery. We found this is a safe practice in our veteran population with an acceptably low local bleeding complication rate.
Acknowledgments
This manuscript is the result of work supported with the resources and the use of facilities at the North Florida/South Georgia Veterans Health System in Gainesville, Florida.
1. Allen AL, Lucas J, Parra D, et al. Shifting the paradigm: a population health approach to the management of direct oral anticoagulants. J Am Heart Assoc. 2021;10(24):e022758. doi:10.1161/JAHA.121.022758
2. Buck J, Kaboli P, Gage BF, Cram P, Vaughan Sarrazin MS. Trends in antithrombotic therapy for atrial fibrillation: data from the Veterans Health Administration health system. Am Heart J. 2016;179:186-191. doi:10.1016/j.ahj.2016.03.029
3. Kinlay S, Young MM, Sherrod R, Gagnon DR. Long-term outcomes and duration of dual antiplatelet therapy after coronary intervention with second-generation drug-eluting stents: the Veterans Affairs Extended DAPT Study. J Am Heart Assoc. 2023;12(2):e027055.
4. Bogunovic L, Gelberman RH, Goldfarb CA, Boyer MI, Calfee RP. The impact of antiplatelet medication on hand and wrist surgery. J Hand Surg Am. 2013;38(6):1063-1070. doi:10.1016/j.jhsa.2013.03.034
5. Wallace DL, Latimer MD, Belcher HJ. Stopping warfarin therapy is unnecessary for hand surgery. J Hand Surg Br. 2004;29(3):203-205. doi:10.1016/j.jhsb.2003.12.008
6. Edmunds I, Avakian Z. Hand surgery on anticoagulated patients: a prospective study of 121 operations. Hand Surg. 2010;15(2):109-113. doi:10.1142/S021881041000468
7. Duvalyan A, Pandey A, Vaduganathan M, et al. Trends in anticoagulation prescription spending among Medicare Part D and Medicaid beneficiaries between 2014 and 2019. J Am Heart Assoc. 2021;10(24):e022644. doi:10.1161/JAHA.121.022644
8. Thakur NA, Czerwein JK, Butera JN, Palumbo MA. Perioperative management of chronic anticoagulation in orthopaedic surgery. J Am Acad Orthop Surg. 2010;18(12):729-738. doi:10.5435/00124635-201012000-00003
9. Bell C, Bajca J, Bierman A, Li P, Mamdani M, Urbach D. Potentially unintended discontinuation of long-term medication use after elective surgical procedures. Arch Int Med. 2003;166(22):2525-2531.
10. Stone MJ, Wilks DJ, Wade RG. Hand and wrist surgery on anticoagulants and antiplatelets: a systematic review and meta-analysis. J Plast Reconstr Aesthet Surg. 2020;73(8):1413-1423.
11. Sardenberg T, Deienno FS, Miranda RF, et al. Hand and wrist surgery without suspending warfarin or oral antiplatelet - systematic review. Rev Bras Ortop. 2017;52(4):390-395. doi:10.1016/j.rboe.2017.07.001
12. Bogunovic L, Gelberman RH, Goldfarb CA, Boyer MI, Calfee RP. The impact of uninterrupted warfarin on hand and wrist surgery. J Hand Surg Am. 2015;40(11):2133-2140. doi:10.1016/j.jhsa.2015.07.037
13. Kraft CT, Bellile E, Baker SR, Kim JC, Moyer JS. Anticoagulant complications in facial plastic and reconstructive surgery. JAMA Facial Plast Surg. 2015;17(2):103-107. doi:10.1001/jamafacial.2014.1147
14. He X, Chen AF, Nirwan RS, Sridhar J, Kuriyan AE. Perioperative management of anticoagulants in ocular surgeries. Int Ophthalmol Clin. 2020;60(3):3-15. doi:10.1097/IIO.0000000000000316
15. Isted A, Cooper L, Colville RJ. Bleeding on the cutting edge: a systematic review of anticoagulant and antiplatelet continuation in minor cutaneous surgery. J Plast Reconstr Aesthet Surg. 2018;71(4):455-467. doi:10.1016/j.bjps.2017.11.024
16. Bordeaux JS, Martires KJ, Goldberg D, Pattee SF, Fu P, Maloney ME. Prospective evaluation of dermatologic surgery complications including patients on multiple antiplatelet and anticoagulant medications. J Am Acad Dermatol. 2011;65(3):576-583. doi:10.1016/j.jaad.2011.02.012
1. Allen AL, Lucas J, Parra D, et al. Shifting the paradigm: a population health approach to the management of direct oral anticoagulants. J Am Heart Assoc. 2021;10(24):e022758. doi:10.1161/JAHA.121.022758
2. Buck J, Kaboli P, Gage BF, Cram P, Vaughan Sarrazin MS. Trends in antithrombotic therapy for atrial fibrillation: data from the Veterans Health Administration health system. Am Heart J. 2016;179:186-191. doi:10.1016/j.ahj.2016.03.029
3. Kinlay S, Young MM, Sherrod R, Gagnon DR. Long-term outcomes and duration of dual antiplatelet therapy after coronary intervention with second-generation drug-eluting stents: the Veterans Affairs Extended DAPT Study. J Am Heart Assoc. 2023;12(2):e027055.
4. Bogunovic L, Gelberman RH, Goldfarb CA, Boyer MI, Calfee RP. The impact of antiplatelet medication on hand and wrist surgery. J Hand Surg Am. 2013;38(6):1063-1070. doi:10.1016/j.jhsa.2013.03.034
5. Wallace DL, Latimer MD, Belcher HJ. Stopping warfarin therapy is unnecessary for hand surgery. J Hand Surg Br. 2004;29(3):203-205. doi:10.1016/j.jhsb.2003.12.008
6. Edmunds I, Avakian Z. Hand surgery on anticoagulated patients: a prospective study of 121 operations. Hand Surg. 2010;15(2):109-113. doi:10.1142/S021881041000468
7. Duvalyan A, Pandey A, Vaduganathan M, et al. Trends in anticoagulation prescription spending among Medicare Part D and Medicaid beneficiaries between 2014 and 2019. J Am Heart Assoc. 2021;10(24):e022644. doi:10.1161/JAHA.121.022644
8. Thakur NA, Czerwein JK, Butera JN, Palumbo MA. Perioperative management of chronic anticoagulation in orthopaedic surgery. J Am Acad Orthop Surg. 2010;18(12):729-738. doi:10.5435/00124635-201012000-00003
9. Bell C, Bajca J, Bierman A, Li P, Mamdani M, Urbach D. Potentially unintended discontinuation of long-term medication use after elective surgical procedures. Arch Int Med. 2003;166(22):2525-2531.
10. Stone MJ, Wilks DJ, Wade RG. Hand and wrist surgery on anticoagulants and antiplatelets: a systematic review and meta-analysis. J Plast Reconstr Aesthet Surg. 2020;73(8):1413-1423.
11. Sardenberg T, Deienno FS, Miranda RF, et al. Hand and wrist surgery without suspending warfarin or oral antiplatelet - systematic review. Rev Bras Ortop. 2017;52(4):390-395. doi:10.1016/j.rboe.2017.07.001
12. Bogunovic L, Gelberman RH, Goldfarb CA, Boyer MI, Calfee RP. The impact of uninterrupted warfarin on hand and wrist surgery. J Hand Surg Am. 2015;40(11):2133-2140. doi:10.1016/j.jhsa.2015.07.037
13. Kraft CT, Bellile E, Baker SR, Kim JC, Moyer JS. Anticoagulant complications in facial plastic and reconstructive surgery. JAMA Facial Plast Surg. 2015;17(2):103-107. doi:10.1001/jamafacial.2014.1147
14. He X, Chen AF, Nirwan RS, Sridhar J, Kuriyan AE. Perioperative management of anticoagulants in ocular surgeries. Int Ophthalmol Clin. 2020;60(3):3-15. doi:10.1097/IIO.0000000000000316
15. Isted A, Cooper L, Colville RJ. Bleeding on the cutting edge: a systematic review of anticoagulant and antiplatelet continuation in minor cutaneous surgery. J Plast Reconstr Aesthet Surg. 2018;71(4):455-467. doi:10.1016/j.bjps.2017.11.024
16. Bordeaux JS, Martires KJ, Goldberg D, Pattee SF, Fu P, Maloney ME. Prospective evaluation of dermatologic surgery complications including patients on multiple antiplatelet and anticoagulant medications. J Am Acad Dermatol. 2011;65(3):576-583. doi:10.1016/j.jaad.2011.02.012
Are Text Pages an Effective Nudge to Increase Attendance at Internal Medicine Morning Report Conferences? A Cluster Randomized Controlled Trial
Regularly scheduled educational conferences, such as case-based morning reports, have been a standard part of internal medicine residencies for decades.1-4 In addition to better patient care from the knowledge gained at educational conferences, attendance by interns and residents (collectively called house staff) may be associated with higher in-service examination scores.5 Unfortunately, competing priorities, including patient care and trainee supervision, may contribute to an action-intention gap among house staff that reduces attendance.6-8 Low attendance at morning reports represents wasted effort and lost educational opportunities; therefore, strategies to increase attendance are needed. Of several methods studied, more resource-intensive interventions (eg, providing food) were the most successful.6,9-12
Using the behavioral economics framework of nudge strategies, we hypothesized that a less intensive intervention of a daily reminder text page would encourage medical students, interns, and residents (collectively called learners) to attend the morning report conference.8,13 However, given the high cognitive load created by frequent task switching, a reminder text page could disrupt workflow and patient care without promoting the intended behavior change.14-17 Because of this uncertainty, our objective was to determine whether a preconference text page increased learner attendance at morning report conferences.
Methods
This study was a single-center, multiple-crossover cluster randomized controlled trial conducted at the Veteran Affairs Boston Healthcare System (VABHS) in Massachusetts. Study participants included house staff rotating on daytime inpatient rotations from 4 residency programs and students from 2 medical schools. The setting was the morning report, an in-person, interactive, case-based conference held Monday through Thursday, from 8:00
Learners assigned to rotate on the inpatient medicine, cardiology, medicine consultation, and patient safety rotations were eligible to attend these conferences and for inclusion in the study. Learners rotating in the medical intensive care unit, on night float, or on day float (an admitting shift for which residents are not on-site until late afternoon) were excluded. Additional details of the study population are available in the supplement (eAppendix). The study period was originally planned for September 30, 2019, to March 31, 2020, but data collection was stopped on March 12, 2020, due to the COVID-19 pandemic and suspension of in-person conferences. We chose the study period, which determined our sample size, to exclude the first 3 months of the academic year (July-September) because during that time learners acclimate to the inpatient workflow. We also chose not to include the last 3 months of the academic year to provide time for data analysis and preparation of the manuscript within the academic year.
Intervention and Outcome Assessment
Each intervention and control period was 3 weeks long; the first period was randomly determined by coin flip and alternated thereafter. Additional details of randomization are available in the supplement (Appendix 1). During intervention periods, all house staff received a page at 7:55
A daily facesheet (a roster of house staff names and photos) was used to identify learners for conference attendance. This facesheet was already used for other purposes at VABHS. At 8:00
During control periods, no text page reminder of upcoming conferences was sent, but the attendance of total learners at 8:00
Statistical Analysis
The primary outcome was the proportion of eligible learners present at 8:10
To estimate the primary outcome, we modeled the risk difference adjusted for covariates using a generalized estimating equation accounting for the clustering of attendance behavior within individuals and controlling for date and team. Secondary outcomes were estimated similarly. To evaluate the robustness of the primary outcome, we performed a sensitivity analysis using a multilevel generalized linear model with clustering by individual learner and team. Additional details on our statistical analysis plan, including accessing our raw data and analysis code, are available in Appendices 2 and 3. Categorical variables were compared using the χ2 or Fisher exact test. Continuous variables were compared using the t test or Wilcoxon rank-sum tests. All P values were 2-sided, and a significance level of ≤ .05 was considered statistically significant. Analysis was performed in Stata v16.1. Our study was deemed exempt by the VABHS Institutional Review Board, and this article was prepared following the CONSORT reporting guidelines. The trial protocol has been registered with the International Standard Randomized Controlled Trial Number registry
Results
Over the study period, 329 unique learners rotated on inpatient medical services at the VABHS and 211 were eligible to attend 85 morning report conferences and 22 Jeopardy conferences (Figure). Outcomes data were available for 100% of eligible participants. Forty-seven (55%) of the morning report conferences occurred during the intervention period (Table 1).
Morning report attendance observed at 8:10
On-time attendance was lower than at 8:10
To estimate the impact of rotating on teams with lighter clinical workloads on the association between receipt of a reminder page and conference attendance, we repeated our primary analysis with a test of interaction between team assignment and the intervention, which was not significant (P = .90). To estimate the impact of morning workload on the association between receipt of a reminder page and conference attendance, we performed a subgroup analysis limited to learners rotating on teams eligible to receive overnight admissions and included the number of overnight admissions as a covariate in our regression model. A test of interaction between the intervention and the number of overnight admissions on conference attendance was not significant (P = .73).
In a subgroup analysis limited to learners on teams eligible to receive overnight admissions and controlling for the number of overnight admissions (a proxy for morning workload), no significant interaction between the intervention and admissions was observed. We also assessed for interaction between learner type and receipt of a reminder page on conference attendance and found no evidence of such an effect.
Discussion
Among a diverse population of learners from multiple academic institutions rotating at a single, large, urban VA medical center, a nudge strategy of sending a reminder text page before morning report conferences was associated with a 4.0% absolute increase in attendance measured 10 minutes after the conference started compared with not sending a reminder page. Overall, only one-quarter of learners attended the morning report at the start at 8:00
We designed our analysis to overcome several limitations of prior studies on the effect of reminder text pages on conference attendance. First, to account for differences in conference attendance behavior of individual learners, we used a generalized estimating equation model that allowed clustering of outcomes by individual. Second, we controlled for the date to account for secular trends in conference attendance over the academic year. Finally, we controlled for the team to account for the possibility that the conference attendance behavior of one learner on a team influences the behavior of other learners on the same team.
We also evaluated the effect of a reminder page on attendance at a weekly Jeopardy conference. Interestingly, reminder pages seemed to increase on-time Jeopardy attendance, although this effect was no longer statistically significant at 8:10
We also assessed the interaction between sending a reminder page and learner type and its effect on conference attendance and found no evidence to support such an effect. Because medical students do not receive reminder pages, their conference attendance behavior can be thought of as indicative of clustering within teams. Though there was no evidence of a significant interaction, given the small number of students, our study may be underpowered to find a benefit for this group.
The results of this study differ from Smith and colleagues, who found that reminder pages had no overall effect on conference attendance for fellows; however, no sample size justification was provided in that study, making it difficult to evaluate the likelihood of a false-negative finding.7 Our study differs in several ways: the timing of the reminder page (5 minutes vs 30 minutes prior to the conference), the method by which attendance was recorded (by an independent observer vs learner sign-in), and the time that attendance was recorded (2 prespecified times vs continuously). As far as we know, our study is the first to evaluate the nudge effect of reminder text pages on internal medicine resident attendance at conferences, with attendance taken by an observer.
Limitations
This study has some limitations. First, it was conducted at a single VA medical center. An additional limitation was our decision to classify learners who arrived after 8:10
Unfortunately, due to the COVID-19 pandemic and the suspension of in-person conferences, our study ended earlier than anticipated. This resulted in an imbalance of morning report conferences that occurred during each period: 55% during the intervention period, and 45% during the control period. However, because we accounted for the clustering of conference attendance behavior within individuals in our model, this imbalance is unlikely to introduce bias in our estimation of the effect of the intervention.
Another limitation relates to the evolving landscape of educational conferences in the postpandemic era.18 Whether our results can be generalized to increase virtual conference attendance is unknown. Finally, it is not clear whether a 4% absolute increase in conference attendance is educationally meaningful or justifies the effort of sending a reminder page.
Conclusions
In this cluster randomized controlled trial conducted at a single VA medical center, reminder pages sent 5 minutes before the start of morning report conferences resulted in a 4% increase in conference attendance. Our results suggest that reminder pages are one strategy that may result in a small increase in conference attendance, but whether this small increase is educationally significant will vary across training programs applying this strategy.
Acknowledgments
The authors are indebted to Kenneth J. Mukamal and Katharine A. Robb, who provided invaluable guidance in data analysis. Todd Reese assisted in data organization and presentation of data, and Mark Tuttle designed the facesheet. None of these individuals received compensation for their assistance.
1. Daniels VJ, Goldstein CE. Changing morning report: an educational intervention to address curricular needs. J Biomed Educ. 2014;2014:1-5. doi:10.1155/2014/830701
2. Parrino TA, Villanueva AG. The principles and practice of morning report. JAMA. 1986;256(6):730-733. doi:10.1001/jama.1986.03380060056025
3. Wenger NS, Shpiner RB. An analysis of morning report: implications for internal medicine education. Ann Intern Med. 1993;119(5):395-399. doi:10.7326/0003-4819-119-5-199309010-00008
4. Ways M, Kroenke K, Umali J, Buchwald D. Morning report. A survey of resident attitudes. Arch Intern Med. 1995;155(13):1433-1437. doi:10.1001/archinte.155.13.1433
5. McDonald FS, Zeger SL, Kolars JC. Associations of conference attendance with internal medicine in-training examination scores. Mayo Clin Proc. 2008;83(4):449-453. doi:10.4065/83.4.449
6. FitzGerald JD, Wenger NS. Didactic teaching conferences for IM residents: who attends, and is attendance related to medical certifying examination scores? Acad Med. 2003;78(1):84-89. doi:10.1097/00001888-200301000-00015
7. Smith J, Zaffiri L, Clary J, Davis T, Bosslet GT. The effect of paging reminders on fellowship conference attendance: a multi-program randomized crossover study. J Grad Med Educ. 2016;8(3):372-377. doi:10.4300/JGME-D-15-00487.1
8. Sheeran P, Webb TL. The intention-behavior gap. Soc Personal Psychol Compass. 2016;10(9):503-518. doi:10.1111/spc3.12265
9. McDonald RJ, Luetmer PH, Kallmes DF. If you starve them, will they still come? Do complementary food provisions affect faculty meeting attendance in academic radiology? J Am Coll Radiol. 2011;8(11):809-810. doi:10.1016/j.jacr.2011.06.003
10. Segovis CM, Mueller PS, Rethlefsen ML, et al. If you feed them, they will come: a prospective study of the effects of complimentary food on attendance and physician attitudes at medical grand rounds at an academic medical center. BMC Med Educ. 2007;7:22. Published 2007 Jul 12. doi:10.1186/1472-6920-7-22
11. Mueller PS, Litin SC, Sowden ML, Habermann TM, LaRusso NF. Strategies for improving attendance at medical grand rounds at an academic medical center. Mayo Clin Proc. 2003;78(5):549-553. doi:10.4065/78.5.549
12. Tarabichi S, DeLeon M, Krumrei N, Hanna J, Maloney Patel N. Competition as a means for improving academic scores and attendance at education conference. J Surg Educ. 2018;75(6):1437-1440. doi:10.1016/j.jsurg.2018.04.020
13. Thaler RH, Sunstein CR. Nudge: Improving Decisions About Health, Wealth, and Happiness. Rev. and Expanded Ed. Penguin Books; 2009.
14. Weijers RJ, de Koning BB, Paas F. Nudging in education: from theory towards guidelines for successful implementation. Eur J Psychol Educ. 2021;36:883-902. Published 2020 Aug 24. doi:10.1007/s10212-020-00495-0
15. Wieland ML, Loertscher LL, Nelson DR, Szostek JH, Ficalora RD. A strategy to reduce interruptions at hospital morning report. J Grad Med Educ. 2010;2(1):83-84. doi:10.4300/JGME-D-09-00084.1
16. Witherspoon L, Nham E, Abdi H, et al. Is it time to rethink how we page physicians? Understanding paging patterns in a tertiary care hospital. BMC Health Serv Res. 2019;19(1):992. Published 2019 Dec 23. doi:10.1186/s12913-019-4844-0
17. Fargen KM, O’Connor T, Raymond S, Sporrer JM, Friedman WA. An observational study of hospital paging practices and workflow interruption among on-call junior neurological surgery residents. J Grad Med Educ. 2012;4(4):467-471. doi:10.4300/JGME-D-11-00306.1
18. Chick RC, Clifton GT, Peace KM, et al. Using technology to maintain the education of residents during the COVID-19 pandemic. J Surg Educ. 2020;77(4):729-732. doi:10.1016/j.jsurg.2020.03.018
Regularly scheduled educational conferences, such as case-based morning reports, have been a standard part of internal medicine residencies for decades.1-4 In addition to better patient care from the knowledge gained at educational conferences, attendance by interns and residents (collectively called house staff) may be associated with higher in-service examination scores.5 Unfortunately, competing priorities, including patient care and trainee supervision, may contribute to an action-intention gap among house staff that reduces attendance.6-8 Low attendance at morning reports represents wasted effort and lost educational opportunities; therefore, strategies to increase attendance are needed. Of several methods studied, more resource-intensive interventions (eg, providing food) were the most successful.6,9-12
Using the behavioral economics framework of nudge strategies, we hypothesized that a less intensive intervention of a daily reminder text page would encourage medical students, interns, and residents (collectively called learners) to attend the morning report conference.8,13 However, given the high cognitive load created by frequent task switching, a reminder text page could disrupt workflow and patient care without promoting the intended behavior change.14-17 Because of this uncertainty, our objective was to determine whether a preconference text page increased learner attendance at morning report conferences.
Methods
This study was a single-center, multiple-crossover cluster randomized controlled trial conducted at the Veteran Affairs Boston Healthcare System (VABHS) in Massachusetts. Study participants included house staff rotating on daytime inpatient rotations from 4 residency programs and students from 2 medical schools. The setting was the morning report, an in-person, interactive, case-based conference held Monday through Thursday, from 8:00
Learners assigned to rotate on the inpatient medicine, cardiology, medicine consultation, and patient safety rotations were eligible to attend these conferences and for inclusion in the study. Learners rotating in the medical intensive care unit, on night float, or on day float (an admitting shift for which residents are not on-site until late afternoon) were excluded. Additional details of the study population are available in the supplement (eAppendix). The study period was originally planned for September 30, 2019, to March 31, 2020, but data collection was stopped on March 12, 2020, due to the COVID-19 pandemic and suspension of in-person conferences. We chose the study period, which determined our sample size, to exclude the first 3 months of the academic year (July-September) because during that time learners acclimate to the inpatient workflow. We also chose not to include the last 3 months of the academic year to provide time for data analysis and preparation of the manuscript within the academic year.
Intervention and Outcome Assessment
Each intervention and control period was 3 weeks long; the first period was randomly determined by coin flip and alternated thereafter. Additional details of randomization are available in the supplement (Appendix 1). During intervention periods, all house staff received a page at 7:55
A daily facesheet (a roster of house staff names and photos) was used to identify learners for conference attendance. This facesheet was already used for other purposes at VABHS. At 8:00
During control periods, no text page reminder of upcoming conferences was sent, but the attendance of total learners at 8:00
Statistical Analysis
The primary outcome was the proportion of eligible learners present at 8:10
To estimate the primary outcome, we modeled the risk difference adjusted for covariates using a generalized estimating equation accounting for the clustering of attendance behavior within individuals and controlling for date and team. Secondary outcomes were estimated similarly. To evaluate the robustness of the primary outcome, we performed a sensitivity analysis using a multilevel generalized linear model with clustering by individual learner and team. Additional details on our statistical analysis plan, including accessing our raw data and analysis code, are available in Appendices 2 and 3. Categorical variables were compared using the χ2 or Fisher exact test. Continuous variables were compared using the t test or Wilcoxon rank-sum tests. All P values were 2-sided, and a significance level of ≤ .05 was considered statistically significant. Analysis was performed in Stata v16.1. Our study was deemed exempt by the VABHS Institutional Review Board, and this article was prepared following the CONSORT reporting guidelines. The trial protocol has been registered with the International Standard Randomized Controlled Trial Number registry
Results
Over the study period, 329 unique learners rotated on inpatient medical services at the VABHS and 211 were eligible to attend 85 morning report conferences and 22 Jeopardy conferences (Figure). Outcomes data were available for 100% of eligible participants. Forty-seven (55%) of the morning report conferences occurred during the intervention period (Table 1).
Morning report attendance observed at 8:10
On-time attendance was lower than at 8:10
To estimate the impact of rotating on teams with lighter clinical workloads on the association between receipt of a reminder page and conference attendance, we repeated our primary analysis with a test of interaction between team assignment and the intervention, which was not significant (P = .90). To estimate the impact of morning workload on the association between receipt of a reminder page and conference attendance, we performed a subgroup analysis limited to learners rotating on teams eligible to receive overnight admissions and included the number of overnight admissions as a covariate in our regression model. A test of interaction between the intervention and the number of overnight admissions on conference attendance was not significant (P = .73).
In a subgroup analysis limited to learners on teams eligible to receive overnight admissions and controlling for the number of overnight admissions (a proxy for morning workload), no significant interaction between the intervention and admissions was observed. We also assessed for interaction between learner type and receipt of a reminder page on conference attendance and found no evidence of such an effect.
Discussion
Among a diverse population of learners from multiple academic institutions rotating at a single, large, urban VA medical center, a nudge strategy of sending a reminder text page before morning report conferences was associated with a 4.0% absolute increase in attendance measured 10 minutes after the conference started compared with not sending a reminder page. Overall, only one-quarter of learners attended the morning report at the start at 8:00
We designed our analysis to overcome several limitations of prior studies on the effect of reminder text pages on conference attendance. First, to account for differences in conference attendance behavior of individual learners, we used a generalized estimating equation model that allowed clustering of outcomes by individual. Second, we controlled for the date to account for secular trends in conference attendance over the academic year. Finally, we controlled for the team to account for the possibility that the conference attendance behavior of one learner on a team influences the behavior of other learners on the same team.
We also evaluated the effect of a reminder page on attendance at a weekly Jeopardy conference. Interestingly, reminder pages seemed to increase on-time Jeopardy attendance, although this effect was no longer statistically significant at 8:10
We also assessed the interaction between sending a reminder page and learner type and its effect on conference attendance and found no evidence to support such an effect. Because medical students do not receive reminder pages, their conference attendance behavior can be thought of as indicative of clustering within teams. Though there was no evidence of a significant interaction, given the small number of students, our study may be underpowered to find a benefit for this group.
The results of this study differ from Smith and colleagues, who found that reminder pages had no overall effect on conference attendance for fellows; however, no sample size justification was provided in that study, making it difficult to evaluate the likelihood of a false-negative finding.7 Our study differs in several ways: the timing of the reminder page (5 minutes vs 30 minutes prior to the conference), the method by which attendance was recorded (by an independent observer vs learner sign-in), and the time that attendance was recorded (2 prespecified times vs continuously). As far as we know, our study is the first to evaluate the nudge effect of reminder text pages on internal medicine resident attendance at conferences, with attendance taken by an observer.
Limitations
This study has some limitations. First, it was conducted at a single VA medical center. An additional limitation was our decision to classify learners who arrived after 8:10
Unfortunately, due to the COVID-19 pandemic and the suspension of in-person conferences, our study ended earlier than anticipated. This resulted in an imbalance of morning report conferences that occurred during each period: 55% during the intervention period, and 45% during the control period. However, because we accounted for the clustering of conference attendance behavior within individuals in our model, this imbalance is unlikely to introduce bias in our estimation of the effect of the intervention.
Another limitation relates to the evolving landscape of educational conferences in the postpandemic era.18 Whether our results can be generalized to increase virtual conference attendance is unknown. Finally, it is not clear whether a 4% absolute increase in conference attendance is educationally meaningful or justifies the effort of sending a reminder page.
Conclusions
In this cluster randomized controlled trial conducted at a single VA medical center, reminder pages sent 5 minutes before the start of morning report conferences resulted in a 4% increase in conference attendance. Our results suggest that reminder pages are one strategy that may result in a small increase in conference attendance, but whether this small increase is educationally significant will vary across training programs applying this strategy.
Acknowledgments
The authors are indebted to Kenneth J. Mukamal and Katharine A. Robb, who provided invaluable guidance in data analysis. Todd Reese assisted in data organization and presentation of data, and Mark Tuttle designed the facesheet. None of these individuals received compensation for their assistance.
Regularly scheduled educational conferences, such as case-based morning reports, have been a standard part of internal medicine residencies for decades.1-4 In addition to better patient care from the knowledge gained at educational conferences, attendance by interns and residents (collectively called house staff) may be associated with higher in-service examination scores.5 Unfortunately, competing priorities, including patient care and trainee supervision, may contribute to an action-intention gap among house staff that reduces attendance.6-8 Low attendance at morning reports represents wasted effort and lost educational opportunities; therefore, strategies to increase attendance are needed. Of several methods studied, more resource-intensive interventions (eg, providing food) were the most successful.6,9-12
Using the behavioral economics framework of nudge strategies, we hypothesized that a less intensive intervention of a daily reminder text page would encourage medical students, interns, and residents (collectively called learners) to attend the morning report conference.8,13 However, given the high cognitive load created by frequent task switching, a reminder text page could disrupt workflow and patient care without promoting the intended behavior change.14-17 Because of this uncertainty, our objective was to determine whether a preconference text page increased learner attendance at morning report conferences.
Methods
This study was a single-center, multiple-crossover cluster randomized controlled trial conducted at the Veteran Affairs Boston Healthcare System (VABHS) in Massachusetts. Study participants included house staff rotating on daytime inpatient rotations from 4 residency programs and students from 2 medical schools. The setting was the morning report, an in-person, interactive, case-based conference held Monday through Thursday, from 8:00
Learners assigned to rotate on the inpatient medicine, cardiology, medicine consultation, and patient safety rotations were eligible to attend these conferences and for inclusion in the study. Learners rotating in the medical intensive care unit, on night float, or on day float (an admitting shift for which residents are not on-site until late afternoon) were excluded. Additional details of the study population are available in the supplement (eAppendix). The study period was originally planned for September 30, 2019, to March 31, 2020, but data collection was stopped on March 12, 2020, due to the COVID-19 pandemic and suspension of in-person conferences. We chose the study period, which determined our sample size, to exclude the first 3 months of the academic year (July-September) because during that time learners acclimate to the inpatient workflow. We also chose not to include the last 3 months of the academic year to provide time for data analysis and preparation of the manuscript within the academic year.
Intervention and Outcome Assessment
Each intervention and control period was 3 weeks long; the first period was randomly determined by coin flip and alternated thereafter. Additional details of randomization are available in the supplement (Appendix 1). During intervention periods, all house staff received a page at 7:55
A daily facesheet (a roster of house staff names and photos) was used to identify learners for conference attendance. This facesheet was already used for other purposes at VABHS. At 8:00
During control periods, no text page reminder of upcoming conferences was sent, but the attendance of total learners at 8:00
Statistical Analysis
The primary outcome was the proportion of eligible learners present at 8:10
To estimate the primary outcome, we modeled the risk difference adjusted for covariates using a generalized estimating equation accounting for the clustering of attendance behavior within individuals and controlling for date and team. Secondary outcomes were estimated similarly. To evaluate the robustness of the primary outcome, we performed a sensitivity analysis using a multilevel generalized linear model with clustering by individual learner and team. Additional details on our statistical analysis plan, including accessing our raw data and analysis code, are available in Appendices 2 and 3. Categorical variables were compared using the χ2 or Fisher exact test. Continuous variables were compared using the t test or Wilcoxon rank-sum tests. All P values were 2-sided, and a significance level of ≤ .05 was considered statistically significant. Analysis was performed in Stata v16.1. Our study was deemed exempt by the VABHS Institutional Review Board, and this article was prepared following the CONSORT reporting guidelines. The trial protocol has been registered with the International Standard Randomized Controlled Trial Number registry
Results
Over the study period, 329 unique learners rotated on inpatient medical services at the VABHS and 211 were eligible to attend 85 morning report conferences and 22 Jeopardy conferences (Figure). Outcomes data were available for 100% of eligible participants. Forty-seven (55%) of the morning report conferences occurred during the intervention period (Table 1).
Morning report attendance observed at 8:10
On-time attendance was lower than at 8:10
To estimate the impact of rotating on teams with lighter clinical workloads on the association between receipt of a reminder page and conference attendance, we repeated our primary analysis with a test of interaction between team assignment and the intervention, which was not significant (P = .90). To estimate the impact of morning workload on the association between receipt of a reminder page and conference attendance, we performed a subgroup analysis limited to learners rotating on teams eligible to receive overnight admissions and included the number of overnight admissions as a covariate in our regression model. A test of interaction between the intervention and the number of overnight admissions on conference attendance was not significant (P = .73).
In a subgroup analysis limited to learners on teams eligible to receive overnight admissions and controlling for the number of overnight admissions (a proxy for morning workload), no significant interaction between the intervention and admissions was observed. We also assessed for interaction between learner type and receipt of a reminder page on conference attendance and found no evidence of such an effect.
Discussion
Among a diverse population of learners from multiple academic institutions rotating at a single, large, urban VA medical center, a nudge strategy of sending a reminder text page before morning report conferences was associated with a 4.0% absolute increase in attendance measured 10 minutes after the conference started compared with not sending a reminder page. Overall, only one-quarter of learners attended the morning report at the start at 8:00
We designed our analysis to overcome several limitations of prior studies on the effect of reminder text pages on conference attendance. First, to account for differences in conference attendance behavior of individual learners, we used a generalized estimating equation model that allowed clustering of outcomes by individual. Second, we controlled for the date to account for secular trends in conference attendance over the academic year. Finally, we controlled for the team to account for the possibility that the conference attendance behavior of one learner on a team influences the behavior of other learners on the same team.
We also evaluated the effect of a reminder page on attendance at a weekly Jeopardy conference. Interestingly, reminder pages seemed to increase on-time Jeopardy attendance, although this effect was no longer statistically significant at 8:10
We also assessed the interaction between sending a reminder page and learner type and its effect on conference attendance and found no evidence to support such an effect. Because medical students do not receive reminder pages, their conference attendance behavior can be thought of as indicative of clustering within teams. Though there was no evidence of a significant interaction, given the small number of students, our study may be underpowered to find a benefit for this group.
The results of this study differ from Smith and colleagues, who found that reminder pages had no overall effect on conference attendance for fellows; however, no sample size justification was provided in that study, making it difficult to evaluate the likelihood of a false-negative finding.7 Our study differs in several ways: the timing of the reminder page (5 minutes vs 30 minutes prior to the conference), the method by which attendance was recorded (by an independent observer vs learner sign-in), and the time that attendance was recorded (2 prespecified times vs continuously). As far as we know, our study is the first to evaluate the nudge effect of reminder text pages on internal medicine resident attendance at conferences, with attendance taken by an observer.
Limitations
This study has some limitations. First, it was conducted at a single VA medical center. An additional limitation was our decision to classify learners who arrived after 8:10
Unfortunately, due to the COVID-19 pandemic and the suspension of in-person conferences, our study ended earlier than anticipated. This resulted in an imbalance of morning report conferences that occurred during each period: 55% during the intervention period, and 45% during the control period. However, because we accounted for the clustering of conference attendance behavior within individuals in our model, this imbalance is unlikely to introduce bias in our estimation of the effect of the intervention.
Another limitation relates to the evolving landscape of educational conferences in the postpandemic era.18 Whether our results can be generalized to increase virtual conference attendance is unknown. Finally, it is not clear whether a 4% absolute increase in conference attendance is educationally meaningful or justifies the effort of sending a reminder page.
Conclusions
In this cluster randomized controlled trial conducted at a single VA medical center, reminder pages sent 5 minutes before the start of morning report conferences resulted in a 4% increase in conference attendance. Our results suggest that reminder pages are one strategy that may result in a small increase in conference attendance, but whether this small increase is educationally significant will vary across training programs applying this strategy.
Acknowledgments
The authors are indebted to Kenneth J. Mukamal and Katharine A. Robb, who provided invaluable guidance in data analysis. Todd Reese assisted in data organization and presentation of data, and Mark Tuttle designed the facesheet. None of these individuals received compensation for their assistance.
1. Daniels VJ, Goldstein CE. Changing morning report: an educational intervention to address curricular needs. J Biomed Educ. 2014;2014:1-5. doi:10.1155/2014/830701
2. Parrino TA, Villanueva AG. The principles and practice of morning report. JAMA. 1986;256(6):730-733. doi:10.1001/jama.1986.03380060056025
3. Wenger NS, Shpiner RB. An analysis of morning report: implications for internal medicine education. Ann Intern Med. 1993;119(5):395-399. doi:10.7326/0003-4819-119-5-199309010-00008
4. Ways M, Kroenke K, Umali J, Buchwald D. Morning report. A survey of resident attitudes. Arch Intern Med. 1995;155(13):1433-1437. doi:10.1001/archinte.155.13.1433
5. McDonald FS, Zeger SL, Kolars JC. Associations of conference attendance with internal medicine in-training examination scores. Mayo Clin Proc. 2008;83(4):449-453. doi:10.4065/83.4.449
6. FitzGerald JD, Wenger NS. Didactic teaching conferences for IM residents: who attends, and is attendance related to medical certifying examination scores? Acad Med. 2003;78(1):84-89. doi:10.1097/00001888-200301000-00015
7. Smith J, Zaffiri L, Clary J, Davis T, Bosslet GT. The effect of paging reminders on fellowship conference attendance: a multi-program randomized crossover study. J Grad Med Educ. 2016;8(3):372-377. doi:10.4300/JGME-D-15-00487.1
8. Sheeran P, Webb TL. The intention-behavior gap. Soc Personal Psychol Compass. 2016;10(9):503-518. doi:10.1111/spc3.12265
9. McDonald RJ, Luetmer PH, Kallmes DF. If you starve them, will they still come? Do complementary food provisions affect faculty meeting attendance in academic radiology? J Am Coll Radiol. 2011;8(11):809-810. doi:10.1016/j.jacr.2011.06.003
10. Segovis CM, Mueller PS, Rethlefsen ML, et al. If you feed them, they will come: a prospective study of the effects of complimentary food on attendance and physician attitudes at medical grand rounds at an academic medical center. BMC Med Educ. 2007;7:22. Published 2007 Jul 12. doi:10.1186/1472-6920-7-22
11. Mueller PS, Litin SC, Sowden ML, Habermann TM, LaRusso NF. Strategies for improving attendance at medical grand rounds at an academic medical center. Mayo Clin Proc. 2003;78(5):549-553. doi:10.4065/78.5.549
12. Tarabichi S, DeLeon M, Krumrei N, Hanna J, Maloney Patel N. Competition as a means for improving academic scores and attendance at education conference. J Surg Educ. 2018;75(6):1437-1440. doi:10.1016/j.jsurg.2018.04.020
13. Thaler RH, Sunstein CR. Nudge: Improving Decisions About Health, Wealth, and Happiness. Rev. and Expanded Ed. Penguin Books; 2009.
14. Weijers RJ, de Koning BB, Paas F. Nudging in education: from theory towards guidelines for successful implementation. Eur J Psychol Educ. 2021;36:883-902. Published 2020 Aug 24. doi:10.1007/s10212-020-00495-0
15. Wieland ML, Loertscher LL, Nelson DR, Szostek JH, Ficalora RD. A strategy to reduce interruptions at hospital morning report. J Grad Med Educ. 2010;2(1):83-84. doi:10.4300/JGME-D-09-00084.1
16. Witherspoon L, Nham E, Abdi H, et al. Is it time to rethink how we page physicians? Understanding paging patterns in a tertiary care hospital. BMC Health Serv Res. 2019;19(1):992. Published 2019 Dec 23. doi:10.1186/s12913-019-4844-0
17. Fargen KM, O’Connor T, Raymond S, Sporrer JM, Friedman WA. An observational study of hospital paging practices and workflow interruption among on-call junior neurological surgery residents. J Grad Med Educ. 2012;4(4):467-471. doi:10.4300/JGME-D-11-00306.1
18. Chick RC, Clifton GT, Peace KM, et al. Using technology to maintain the education of residents during the COVID-19 pandemic. J Surg Educ. 2020;77(4):729-732. doi:10.1016/j.jsurg.2020.03.018
1. Daniels VJ, Goldstein CE. Changing morning report: an educational intervention to address curricular needs. J Biomed Educ. 2014;2014:1-5. doi:10.1155/2014/830701
2. Parrino TA, Villanueva AG. The principles and practice of morning report. JAMA. 1986;256(6):730-733. doi:10.1001/jama.1986.03380060056025
3. Wenger NS, Shpiner RB. An analysis of morning report: implications for internal medicine education. Ann Intern Med. 1993;119(5):395-399. doi:10.7326/0003-4819-119-5-199309010-00008
4. Ways M, Kroenke K, Umali J, Buchwald D. Morning report. A survey of resident attitudes. Arch Intern Med. 1995;155(13):1433-1437. doi:10.1001/archinte.155.13.1433
5. McDonald FS, Zeger SL, Kolars JC. Associations of conference attendance with internal medicine in-training examination scores. Mayo Clin Proc. 2008;83(4):449-453. doi:10.4065/83.4.449
6. FitzGerald JD, Wenger NS. Didactic teaching conferences for IM residents: who attends, and is attendance related to medical certifying examination scores? Acad Med. 2003;78(1):84-89. doi:10.1097/00001888-200301000-00015
7. Smith J, Zaffiri L, Clary J, Davis T, Bosslet GT. The effect of paging reminders on fellowship conference attendance: a multi-program randomized crossover study. J Grad Med Educ. 2016;8(3):372-377. doi:10.4300/JGME-D-15-00487.1
8. Sheeran P, Webb TL. The intention-behavior gap. Soc Personal Psychol Compass. 2016;10(9):503-518. doi:10.1111/spc3.12265
9. McDonald RJ, Luetmer PH, Kallmes DF. If you starve them, will they still come? Do complementary food provisions affect faculty meeting attendance in academic radiology? J Am Coll Radiol. 2011;8(11):809-810. doi:10.1016/j.jacr.2011.06.003
10. Segovis CM, Mueller PS, Rethlefsen ML, et al. If you feed them, they will come: a prospective study of the effects of complimentary food on attendance and physician attitudes at medical grand rounds at an academic medical center. BMC Med Educ. 2007;7:22. Published 2007 Jul 12. doi:10.1186/1472-6920-7-22
11. Mueller PS, Litin SC, Sowden ML, Habermann TM, LaRusso NF. Strategies for improving attendance at medical grand rounds at an academic medical center. Mayo Clin Proc. 2003;78(5):549-553. doi:10.4065/78.5.549
12. Tarabichi S, DeLeon M, Krumrei N, Hanna J, Maloney Patel N. Competition as a means for improving academic scores and attendance at education conference. J Surg Educ. 2018;75(6):1437-1440. doi:10.1016/j.jsurg.2018.04.020
13. Thaler RH, Sunstein CR. Nudge: Improving Decisions About Health, Wealth, and Happiness. Rev. and Expanded Ed. Penguin Books; 2009.
14. Weijers RJ, de Koning BB, Paas F. Nudging in education: from theory towards guidelines for successful implementation. Eur J Psychol Educ. 2021;36:883-902. Published 2020 Aug 24. doi:10.1007/s10212-020-00495-0
15. Wieland ML, Loertscher LL, Nelson DR, Szostek JH, Ficalora RD. A strategy to reduce interruptions at hospital morning report. J Grad Med Educ. 2010;2(1):83-84. doi:10.4300/JGME-D-09-00084.1
16. Witherspoon L, Nham E, Abdi H, et al. Is it time to rethink how we page physicians? Understanding paging patterns in a tertiary care hospital. BMC Health Serv Res. 2019;19(1):992. Published 2019 Dec 23. doi:10.1186/s12913-019-4844-0
17. Fargen KM, O’Connor T, Raymond S, Sporrer JM, Friedman WA. An observational study of hospital paging practices and workflow interruption among on-call junior neurological surgery residents. J Grad Med Educ. 2012;4(4):467-471. doi:10.4300/JGME-D-11-00306.1
18. Chick RC, Clifton GT, Peace KM, et al. Using technology to maintain the education of residents during the COVID-19 pandemic. J Surg Educ. 2020;77(4):729-732. doi:10.1016/j.jsurg.2020.03.018
Community Nursing Home Program Oversight: Can the VA Meet Increased Demand for Community-Based Care?
The US Department of Veterans Affairs (VA) Community Nursing Home (CNH) program provides 24-hour skilled nursing care for eligible veterans in public or private community-based facilities that have established a contract to care for veterans. Veteran eligibility is based on service-connected status and level of disability, covering the cost of care for veterans who need long-term care because of their service-connected disability or for veterans with disabilities rated at ≥ 70%.1 Between 2014 and 2018, the average daily census of veterans in CNHs increased by 26% and the percentage of funds obligated to this program increased by 49%.2 The VA projects that the number of veterans receiving care in a CNH program will increase by 80% between 2017 and 2037, corresponding to a 149% increase in CNH expenditures.2
CNH program oversight teams are mandated at each VA medical center (VAMC) to monitor care coordination within the CNH program. These teams include nurses and social workers (SWs) who perform regular on-site assessments to monitor the clinical, functional, and psychosocial needs of veterans. These assessments include a review of the electronic health record (EHR) and face-to-face contact with veterans and CNH staff, regardless of the purchasing authority (hospice, long-term care, short-term rehabilitation, respite care).3 These teams represent key stakeholders impacted by CNH program expansion.
While the CNH program has focused primarily on the provision of long-term care, the VA is now expanding to include short-term rehabilitation through Veteran Care Agreements.4 These agreements are authorized under the MISSION Act, designed to improve care for veterans.5 Veteran Care Agreements are expected to be less burdensome to execute than traditional contracts and will permit the VA to partner with more CNHs, as noted in a Congressional Research Service report regarding long-term care services for veterans.6 However, increasing the number of CNHs increases demands on oversight teams, particularly if the coordinators are compelled to perform monthly on-site visits to facilities required under current guidelines.3
The objective of this study was to describe the experiences of VA and CNH staff involved in care coordination and the oversight of veterans receiving CNH care amid Veteran Care Agreement implementation and in anticipation of CNH program expansion. The results are intended to inform expansion efforts within the CNH program.
METHODS
This study was a component of a larger research project examining VA-purchased CNH care; recruitment methods are available in previous publications describing this work.7 Participants provided written or verbal consent before video and phone interviews, respectively. This study was approved by the Colorado Multiple Institutional Review Board (Protocol #18-1186).
Video and phone interviews were conducted by 3 team members from October 2018 to March 2020 with CNH staff and VA CNH program oversight team members. Participant recruitment was paused from May to October 2020 as a result of the COVID-19 pandemic and ambiguity about VA NH care purchasing policies following the passage of the VA MISSION Act.5 We used semistructured interview guides (eAppendix 1 for VA staff and eAppendix 2 for NH staff, available online at doi:10.12788/fp.0421). Recorded and transcribed interviews ranged from 15 to 90 minutes.
Two members of the research team analyzed transcripts using both deductive and inductive content analysis.8 The interview guide informed an a priori codebook, and in vivo codes were included as they emerged. We jointly coded 6 transcripts to reach a consensus on coding approaches and analyzed the remaining transcripts independently with frequent meetings to develop themes with a qualitative methodologist. All qualitative data were analyzed using ATLAS.ti software.
This was a retrospective observational study of veterans who received VA-paid care in CNHs during the 2019 fiscal year (10/1/2018-9/30/2019) using data from the enrollment, inpatient and outpatient encounters, and other care paid for by the VA in the VA Corporate Data Warehouse. We linked Centers for Medicare and Medicaid monthly Nursing Home Compare reports and the Brown University Long Term Care: Facts on Care in the US (LTC FoCUS) annual files to identify facility addresses.9
Descriptive analyses of quantitative data were conducted in parallel with the qualitative findings.8 Distance from the contracting VAMC to CNH was calculated using the greater-circle formula to find the linear distance between geographic coordinates. Quantitative and qualitative data were collected concurrently, analyzed independently, and integrated into the interpretation of results.10
RESULTS
We conducted 36 interviews with VA and NH staff who were affiliated with 6 VAMCs and 17 CNHs. Four themes emerged concerning CNH oversight: (1) benefits of VA CNH team engagement/visits; (2) burden of VA CNH oversight; (3) burden of oversight limited the ability to contract with additional NHs; and (4) factors that ease the burden and facilitate successful oversight.
Benefits of Engagement/Visits
VA SWs and nurses visit each veteran every 30 to 45 days to review their health records, meet with them, and check in with NH staff. In addition, VA SWs and nurses coordinate each veteran’s care by working as liaisons between the VA and the NH to help NH staff problem solve veteran-related issues through care conferences. VA SWs and nurses act as extra advocates for veterans to make sure their needs are met. “This program definitely helps ensure that veterans are receiving higher quality care because if we see that they aren’t, then we do something about it,” a VA NH coordinator reported in an interview.
NH staff noted benefits to monthly VA staff visits, including having an additional person coordinating care and built-in VA liaisons. “It’s nice to have that extra set of eyes, people that you can care plan with,” an NH administrator shared. “It’s definitely a true partnership, and we have open and honest conversations so we can really provide a good service for our veterans.”
Distance & High Veteran Census Burdens
VA participants described oversight components as burdensome. Specifically, several VA participants mentioned that the charting they completed in the facility during each visit proved time consuming and onerous, particularly for distant NHs. To accommodate veterans’ preferences to receive care in a facility close to their homes and families, VAMCs contract with NHs that are geographically spread out. “We’re just all spread out… staff have issues driving 2 and a half hours just to review charts all day,” a VA CNH coordinator explained. In 2019, the mean distance between VAMC and NH was 48 miles, with half located > 32 miles from the VAMC. One-quarter of NHs were > 70 miles and 44% were located > 50 miles from the VAMC (Figure 1).
Participants highlighted how regular oversight visits were particularly time consuming at CNHs with a large contracted population. VA nurses and SWs spend multiple days and up to a week conducting oversight visits at facilities with large numbers of veterans. Another VA nurse highlighted how charting requirements resulted in several days of documentation outside of the NH visit for facilities with many contracted veteran residents. Multiple VA participants noted that having many veterans at an NH exacerbated the oversight burdens. In 2019, 252 (28%) of VA CNHs had > 10 contracted veterans and 1 facility had 34 veterans (Figure 2). VA participants perceived having too many veterans concentrated at 1 facility as potentially challenging for CNHs due to the complex care needs of veterans and the added need for care coordination with the VA. One VA NH coordinator noted that while some facilities were “adept at being able to handle higher numbers” of veterans, others were “overwhelmed.” Too many veterans at an NH, an SW explained, might lead the “facility to fail because we are such a cumbersome system.”
Oversight & Staffing Burden
While several participants described wanting to contract with more NHs to avoid overwhelming existing CNHs and to increase choice for veterans, they expressed concerns about their ability to provide oversight at more facilities due to limited staffing and oversight requirements. Across VAMCs, the median number of VA CNHs varied substantially (Figure 3). One VA participant with about 35 CNHs explained that while adding more NHs could create “more opportunities and options” for veterans, it needs to be balanced with the required oversight responsibilities. One VA nurse insisted that more staff were needed to meet current and future oversight needs. “We’re all getting stretched pretty thin, and just so we don’t drop the ball on things… I would like to see a little more staff if we’re gonna have a lot more nursing homes.”
Participants had concerns related to the VA MISSION Act and the possibility of more VA-paid NHs for rehabilitation or short-term care. Participants underscored the necessity for additional staff to account for the increased oversight burden or a reduction in oversight requirements. One SW felt that increasing the number of CNHs would increase the required oversight and the need for collaboration with NH staff, which would limit her ability to establish close and trusting working relationships with NH staff. Participants also described the challenges of meeting their current oversight requirements, which limited extra visits for acute issues and care conferences. This was attributed to a lack of adequate staffing in the VA CNH program, given the time-intensive nature of VA oversight requirements.
Easing Burden & Facilitating Oversight
Participants noted how obtaining remote access to veterans’ EHRs allowed them to conduct chart reviews before oversight visits. This permitted more time for interaction with veterans and CNH staff as well as coordinating care. While providing access to the VA EHR would not change the chart review component of VA oversight, some participants felt it might improve care coordination between VA and NH staff during monthly visits.
Participants felt they were able to build strong working relationships with facilities with more veterans due to frequent communication and collaboration. VA participants also noted that CNHs with larger veteran censuses were more likely to respond to VA concerns about care to maintain the business relationship and contract. To optimize strong working relationships and decrease the challenges of having too many veterans at a facility, some VA participants suggested that CNH programs create a local policy to recommend the number of veterans placed in a CNH.
Discussion
Participants interviewed for this study echoed findings from previous work that identified the importance of developing trusted working relationships with CNHs to care for veterans.11,12 However, interorganizational care coordination, a shortage of health care professionals, and resource demands associated with caring for veterans reported in other community care settings were also noted in our findings.12,13
Building upon prior recommendations related to community care of veterans, our analysis identified key areas that could improve CNH program oversight efficiency, including: (1) improving the interoperability of EHRs to facilitate coordination of care and oversight; (2) addressing inefficiencies associated with traveling to geographically dispersed CNHs; and (3) “right-sizing” the number of veterans residing in each CNH.
The interoperability of EHRs has been cited by multiple studies of VA community care programs as critical to reducing inefficiencies and allowing more in-person time with veterans and staff in care coordination, especially at rural locations.11-15 The Veterans Health Information Exchange Program is designed to optimize data sharing as veterans are increasingly referred to non-VA care through the MISSION Act. This program is organized around patient engagement, clinician adoption, partner engagement, and technological capabilities.16
Unfortunately, significant barriers exist for the VA CNH program within each of these information exchange domains. For example, patient engagement requires veteran consent for consumer-initiated exchange of medical information, which is not practical due to the high prevalence of cognitive impairment in NHs. Similarly, VA consent requirements prohibit EHR download and sharing with non-VA facilities like CNHs, limiting use. eHealth Exchange partnerships allow organizations caring for veterans to connect with the VA via networks that provide a common trust agreement and technical compliance testing. Unfortunately, in 2017, only 257 NHs in which veterans received care nationally were eHealth Exchange partners, which indicates that while NHs could partner in this information exchange, very few did.16
Finally, while the exchange is possible, it is not practical; most CNHs lack the staff that would be required to support data transfer on their technology platform into the appropriate translational gateways. Although remote access to EHRs in CNHs improved during the pandemic, the Veterans Health Information Exchange Program is not designed to facilitate interoperability of VA and CNH records and remains a significant barrier for this and many other VA community care programs.
The dispersal of veterans across CNHs that are > 50 miles from the nearest VAMC represents an additional area to improve program efficiency and meet growing demands for rural care. While recent field guidance to CNH oversight teams reduces the frequency of visits by VA CNH teams, the burden of driving to each facility is not likely to decrease as CNHs increasingly offer rehabilitation as a part of Veteran Care Agreements.17 Visits performed by telehealth or by trained local VA staff may represent alternatives.15
Finally, interview participants described the ideal range of the number of veterans in each CNH necessary to optimize efficiencies. Veterans who rely more heavily upon VA care tend to have more medical and mental health comorbidities than average Medicare beneficiaries.18,19 This was reflected in participants’ recommendation to have enough veterans to benefit from economies of scale but to also identify a limit when efficiencies are lost. Given that most CNHs cared for 8 to 15 veterans, facilities seem to have identified how best to match the resources available with veterans’ care needs. Based on these observations, new care networks that will be established because of the MISSION Act may benefit from establishing evidence-based policies that support flexibility in oversight frequency and either allow for remote oversight or consolidate the number of CNHs to improve efficiencies in care provision and oversight.20
Limitations
Limitations include the unique relationship between VA and CNH staff overseeing the quality of care provided to veterans in CNHs, which is not replicated in other models of care. Data collection was interrupted following the passage of the MISSION Act in 2018 until guidance on changes to practice resulting from the law were clarified in 2020. Interviews were also interrupted at the onset of the COVID-19 pandemic.
Conclusions
The current quality of the CNH care oversight structure will require adaptation as demand for CNH care increases. While the VA CNH program is one of the longest-standing programs collaborating with non-VA community care partners, it is now only one of many following the MISSION Act. The success of this and other programs will depend on matching available CNH resources to the complex medical and psychological needs of veterans. At a time when strategies to ease the burden on NHs and VA CNH coordinators are desperately needed, Veterans Health Information Exchange capabilities need to improve. Evidence is needed to guide the scaling of the program to meet the needs of the rapidly expanding veteran population who are eligible for CNH care.
Acknowledgments
The authors acknowledge Amy Mochel of the Providence Veterans Affairs Medical Center for project management support of this project.
1. Miller EA, Gadbois E, Gidmark S, Intrator O. Purchasing nursing home care within the Veterans Health Administration: lessons for nursing home recruitment, contracting, and oversight. J Health Admin Educ. 2015;32(2):165-197.
2. GAO. VA health care. Veterans’ use of long-term care is increasing, and VA faces challenges in meeting the demand. February 19, 2020. Accessed September 19, 2023. https://www.gao.gov/assets/gao-20-284.pdf
3. VHA Handbook 1143.2, VHA community nursing home oversight procedures. US Department of Veterans Affairs, Veterans Health Administration. June 2004. https://www.vendorportal.ecms.va.gov/FBODocumentServer/DocumentServer.aspx?DocumentId=3740930&FileName=VA259-17-Q-0501-007.pdf
4. Community care: veteran care agreements. US Department of Veterans Affairs. 2022. Updated August 8, 2023. Accessed September 7, 2023. https://www.va.gov/COMMUNITYCARE/providers/Veterans_Care_Agreements.asp
5. Massarweh NN, Itani KMF, Morris MS. The VA MISSION Act and the future of veterans’ access to quality health care. JAMA. 2020;324(4):343-344. doi:10.1001/jama.2020.4505
6. Colello KJ, Panangala SV; Congressional Research Service. Long-term care services for veterans. February 14, 2017. Accessed September 7, 2023. https://crsreports.congress.gov/product/pdf/R/R44697
7. Magid KH, Galenbeck E, Haverhals LM, et al. Purchasing high-quality community nursing home care: a will to work with VHA diminished by contracting burdens. J Am Med Dir Assoc. 2022;23(11):1757-1764. doi:10.1016/j.jamda.2022.03.007
8. Vaismoradi M, Turunen H, Bondas T. Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nurs Health Sci. 2013;15(3):398-405. doi:10.1111/nhs.12048
9. Brown University. LTC Focus. Accessed September 18, 2023. https://ltcfocus.org/about
10. Zhang W, Creswell J. The use of “mixing” procedure of mixed methods in health services research. Med Care. 2013;51(8):e51-e57. doi:10.1097/MLR.0b013e31824642fd
11. Haverhals LM, Magid KH, Blanchard KN, Levy CR. Veterans Health Administration staff perceptions of overseeing care in community nursing homes during COVID-19. Gerontol Geriatr Med. 2022;8:23337214221080307. Published 2022 Feb 15. doi:10.1177/23337214221080307
12. Garvin LA, Pugatch M, Gurewich D, Pendergast JN, Miller CJ. Interorganizational care coordination of rural veterans by Veterans Affairs and community care programs: a systematic review. Med Care. 2021;59(suppl 3):S259-S269. doi:10.1097/MLR.0000000000001542
13. Schlosser J, Kollisch D, Johnson D, Perkins T, Olson A. VA-community dual care: veteran and clinician perspectives. J Community Health. 2020;45(4):795-802. doi:10.1007/s10900-020-00795-y
14. Nevedal AL, Wong EP, Urech TH, Peppiatt JL, Sorie MR, Vashi AA. Veterans’ experiences with accessing community emergency care. Mil Med. 2023;188(1-2):e58-e64. doi:10.1093/milmed/usab196
15. Levenson SA. Smart case review: a model for successful remote medical direction and enhanced nursing home quality improvement. J Am Med Dir Assoc. 2021;22(10):2212-2215.e6. doi:10.1016/j.jamda.2021.05.043
16. Donahue M, Bouhaddou O, Hsing N, et al. Veterans Health Information Exchange: successes and challenges of nationwide interoperability. AMIA Annu Symp Proc. 2018;2018:385-394. Published 2018 Dec 5.
17. US Department of Veterans Affairs. VHA Notice 2023-07. Community Nursing Home Program. September 5, 2023:1-4.
18. Helmer DA, Dwibedi N, Rowneki M, et al. Mental health conditions and hospitalizations for ambulatory care sensitive conditions among veterans with diabetes. Am Health Drug Benefits. 2020;13(2):61-71.
19. Rosen AK, Wagner TH, Pettey WBP, et al. Differences in risk scores of veterans receiving community care purchased by the Veterans Health Administration. Health Serv Res. 2018;53(suppl 3):5438-5454. doi:10.1111/1475-6773.13051
20. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
The US Department of Veterans Affairs (VA) Community Nursing Home (CNH) program provides 24-hour skilled nursing care for eligible veterans in public or private community-based facilities that have established a contract to care for veterans. Veteran eligibility is based on service-connected status and level of disability, covering the cost of care for veterans who need long-term care because of their service-connected disability or for veterans with disabilities rated at ≥ 70%.1 Between 2014 and 2018, the average daily census of veterans in CNHs increased by 26% and the percentage of funds obligated to this program increased by 49%.2 The VA projects that the number of veterans receiving care in a CNH program will increase by 80% between 2017 and 2037, corresponding to a 149% increase in CNH expenditures.2
CNH program oversight teams are mandated at each VA medical center (VAMC) to monitor care coordination within the CNH program. These teams include nurses and social workers (SWs) who perform regular on-site assessments to monitor the clinical, functional, and psychosocial needs of veterans. These assessments include a review of the electronic health record (EHR) and face-to-face contact with veterans and CNH staff, regardless of the purchasing authority (hospice, long-term care, short-term rehabilitation, respite care).3 These teams represent key stakeholders impacted by CNH program expansion.
While the CNH program has focused primarily on the provision of long-term care, the VA is now expanding to include short-term rehabilitation through Veteran Care Agreements.4 These agreements are authorized under the MISSION Act, designed to improve care for veterans.5 Veteran Care Agreements are expected to be less burdensome to execute than traditional contracts and will permit the VA to partner with more CNHs, as noted in a Congressional Research Service report regarding long-term care services for veterans.6 However, increasing the number of CNHs increases demands on oversight teams, particularly if the coordinators are compelled to perform monthly on-site visits to facilities required under current guidelines.3
The objective of this study was to describe the experiences of VA and CNH staff involved in care coordination and the oversight of veterans receiving CNH care amid Veteran Care Agreement implementation and in anticipation of CNH program expansion. The results are intended to inform expansion efforts within the CNH program.
METHODS
This study was a component of a larger research project examining VA-purchased CNH care; recruitment methods are available in previous publications describing this work.7 Participants provided written or verbal consent before video and phone interviews, respectively. This study was approved by the Colorado Multiple Institutional Review Board (Protocol #18-1186).
Video and phone interviews were conducted by 3 team members from October 2018 to March 2020 with CNH staff and VA CNH program oversight team members. Participant recruitment was paused from May to October 2020 as a result of the COVID-19 pandemic and ambiguity about VA NH care purchasing policies following the passage of the VA MISSION Act.5 We used semistructured interview guides (eAppendix 1 for VA staff and eAppendix 2 for NH staff, available online at doi:10.12788/fp.0421). Recorded and transcribed interviews ranged from 15 to 90 minutes.
Two members of the research team analyzed transcripts using both deductive and inductive content analysis.8 The interview guide informed an a priori codebook, and in vivo codes were included as they emerged. We jointly coded 6 transcripts to reach a consensus on coding approaches and analyzed the remaining transcripts independently with frequent meetings to develop themes with a qualitative methodologist. All qualitative data were analyzed using ATLAS.ti software.
This was a retrospective observational study of veterans who received VA-paid care in CNHs during the 2019 fiscal year (10/1/2018-9/30/2019) using data from the enrollment, inpatient and outpatient encounters, and other care paid for by the VA in the VA Corporate Data Warehouse. We linked Centers for Medicare and Medicaid monthly Nursing Home Compare reports and the Brown University Long Term Care: Facts on Care in the US (LTC FoCUS) annual files to identify facility addresses.9
Descriptive analyses of quantitative data were conducted in parallel with the qualitative findings.8 Distance from the contracting VAMC to CNH was calculated using the greater-circle formula to find the linear distance between geographic coordinates. Quantitative and qualitative data were collected concurrently, analyzed independently, and integrated into the interpretation of results.10
RESULTS
We conducted 36 interviews with VA and NH staff who were affiliated with 6 VAMCs and 17 CNHs. Four themes emerged concerning CNH oversight: (1) benefits of VA CNH team engagement/visits; (2) burden of VA CNH oversight; (3) burden of oversight limited the ability to contract with additional NHs; and (4) factors that ease the burden and facilitate successful oversight.
Benefits of Engagement/Visits
VA SWs and nurses visit each veteran every 30 to 45 days to review their health records, meet with them, and check in with NH staff. In addition, VA SWs and nurses coordinate each veteran’s care by working as liaisons between the VA and the NH to help NH staff problem solve veteran-related issues through care conferences. VA SWs and nurses act as extra advocates for veterans to make sure their needs are met. “This program definitely helps ensure that veterans are receiving higher quality care because if we see that they aren’t, then we do something about it,” a VA NH coordinator reported in an interview.
NH staff noted benefits to monthly VA staff visits, including having an additional person coordinating care and built-in VA liaisons. “It’s nice to have that extra set of eyes, people that you can care plan with,” an NH administrator shared. “It’s definitely a true partnership, and we have open and honest conversations so we can really provide a good service for our veterans.”
Distance & High Veteran Census Burdens
VA participants described oversight components as burdensome. Specifically, several VA participants mentioned that the charting they completed in the facility during each visit proved time consuming and onerous, particularly for distant NHs. To accommodate veterans’ preferences to receive care in a facility close to their homes and families, VAMCs contract with NHs that are geographically spread out. “We’re just all spread out… staff have issues driving 2 and a half hours just to review charts all day,” a VA CNH coordinator explained. In 2019, the mean distance between VAMC and NH was 48 miles, with half located > 32 miles from the VAMC. One-quarter of NHs were > 70 miles and 44% were located > 50 miles from the VAMC (Figure 1).
Participants highlighted how regular oversight visits were particularly time consuming at CNHs with a large contracted population. VA nurses and SWs spend multiple days and up to a week conducting oversight visits at facilities with large numbers of veterans. Another VA nurse highlighted how charting requirements resulted in several days of documentation outside of the NH visit for facilities with many contracted veteran residents. Multiple VA participants noted that having many veterans at an NH exacerbated the oversight burdens. In 2019, 252 (28%) of VA CNHs had > 10 contracted veterans and 1 facility had 34 veterans (Figure 2). VA participants perceived having too many veterans concentrated at 1 facility as potentially challenging for CNHs due to the complex care needs of veterans and the added need for care coordination with the VA. One VA NH coordinator noted that while some facilities were “adept at being able to handle higher numbers” of veterans, others were “overwhelmed.” Too many veterans at an NH, an SW explained, might lead the “facility to fail because we are such a cumbersome system.”
Oversight & Staffing Burden
While several participants described wanting to contract with more NHs to avoid overwhelming existing CNHs and to increase choice for veterans, they expressed concerns about their ability to provide oversight at more facilities due to limited staffing and oversight requirements. Across VAMCs, the median number of VA CNHs varied substantially (Figure 3). One VA participant with about 35 CNHs explained that while adding more NHs could create “more opportunities and options” for veterans, it needs to be balanced with the required oversight responsibilities. One VA nurse insisted that more staff were needed to meet current and future oversight needs. “We’re all getting stretched pretty thin, and just so we don’t drop the ball on things… I would like to see a little more staff if we’re gonna have a lot more nursing homes.”
Participants had concerns related to the VA MISSION Act and the possibility of more VA-paid NHs for rehabilitation or short-term care. Participants underscored the necessity for additional staff to account for the increased oversight burden or a reduction in oversight requirements. One SW felt that increasing the number of CNHs would increase the required oversight and the need for collaboration with NH staff, which would limit her ability to establish close and trusting working relationships with NH staff. Participants also described the challenges of meeting their current oversight requirements, which limited extra visits for acute issues and care conferences. This was attributed to a lack of adequate staffing in the VA CNH program, given the time-intensive nature of VA oversight requirements.
Easing Burden & Facilitating Oversight
Participants noted how obtaining remote access to veterans’ EHRs allowed them to conduct chart reviews before oversight visits. This permitted more time for interaction with veterans and CNH staff as well as coordinating care. While providing access to the VA EHR would not change the chart review component of VA oversight, some participants felt it might improve care coordination between VA and NH staff during monthly visits.
Participants felt they were able to build strong working relationships with facilities with more veterans due to frequent communication and collaboration. VA participants also noted that CNHs with larger veteran censuses were more likely to respond to VA concerns about care to maintain the business relationship and contract. To optimize strong working relationships and decrease the challenges of having too many veterans at a facility, some VA participants suggested that CNH programs create a local policy to recommend the number of veterans placed in a CNH.
Discussion
Participants interviewed for this study echoed findings from previous work that identified the importance of developing trusted working relationships with CNHs to care for veterans.11,12 However, interorganizational care coordination, a shortage of health care professionals, and resource demands associated with caring for veterans reported in other community care settings were also noted in our findings.12,13
Building upon prior recommendations related to community care of veterans, our analysis identified key areas that could improve CNH program oversight efficiency, including: (1) improving the interoperability of EHRs to facilitate coordination of care and oversight; (2) addressing inefficiencies associated with traveling to geographically dispersed CNHs; and (3) “right-sizing” the number of veterans residing in each CNH.
The interoperability of EHRs has been cited by multiple studies of VA community care programs as critical to reducing inefficiencies and allowing more in-person time with veterans and staff in care coordination, especially at rural locations.11-15 The Veterans Health Information Exchange Program is designed to optimize data sharing as veterans are increasingly referred to non-VA care through the MISSION Act. This program is organized around patient engagement, clinician adoption, partner engagement, and technological capabilities.16
Unfortunately, significant barriers exist for the VA CNH program within each of these information exchange domains. For example, patient engagement requires veteran consent for consumer-initiated exchange of medical information, which is not practical due to the high prevalence of cognitive impairment in NHs. Similarly, VA consent requirements prohibit EHR download and sharing with non-VA facilities like CNHs, limiting use. eHealth Exchange partnerships allow organizations caring for veterans to connect with the VA via networks that provide a common trust agreement and technical compliance testing. Unfortunately, in 2017, only 257 NHs in which veterans received care nationally were eHealth Exchange partners, which indicates that while NHs could partner in this information exchange, very few did.16
Finally, while the exchange is possible, it is not practical; most CNHs lack the staff that would be required to support data transfer on their technology platform into the appropriate translational gateways. Although remote access to EHRs in CNHs improved during the pandemic, the Veterans Health Information Exchange Program is not designed to facilitate interoperability of VA and CNH records and remains a significant barrier for this and many other VA community care programs.
The dispersal of veterans across CNHs that are > 50 miles from the nearest VAMC represents an additional area to improve program efficiency and meet growing demands for rural care. While recent field guidance to CNH oversight teams reduces the frequency of visits by VA CNH teams, the burden of driving to each facility is not likely to decrease as CNHs increasingly offer rehabilitation as a part of Veteran Care Agreements.17 Visits performed by telehealth or by trained local VA staff may represent alternatives.15
Finally, interview participants described the ideal range of the number of veterans in each CNH necessary to optimize efficiencies. Veterans who rely more heavily upon VA care tend to have more medical and mental health comorbidities than average Medicare beneficiaries.18,19 This was reflected in participants’ recommendation to have enough veterans to benefit from economies of scale but to also identify a limit when efficiencies are lost. Given that most CNHs cared for 8 to 15 veterans, facilities seem to have identified how best to match the resources available with veterans’ care needs. Based on these observations, new care networks that will be established because of the MISSION Act may benefit from establishing evidence-based policies that support flexibility in oversight frequency and either allow for remote oversight or consolidate the number of CNHs to improve efficiencies in care provision and oversight.20
Limitations
Limitations include the unique relationship between VA and CNH staff overseeing the quality of care provided to veterans in CNHs, which is not replicated in other models of care. Data collection was interrupted following the passage of the MISSION Act in 2018 until guidance on changes to practice resulting from the law were clarified in 2020. Interviews were also interrupted at the onset of the COVID-19 pandemic.
Conclusions
The current quality of the CNH care oversight structure will require adaptation as demand for CNH care increases. While the VA CNH program is one of the longest-standing programs collaborating with non-VA community care partners, it is now only one of many following the MISSION Act. The success of this and other programs will depend on matching available CNH resources to the complex medical and psychological needs of veterans. At a time when strategies to ease the burden on NHs and VA CNH coordinators are desperately needed, Veterans Health Information Exchange capabilities need to improve. Evidence is needed to guide the scaling of the program to meet the needs of the rapidly expanding veteran population who are eligible for CNH care.
Acknowledgments
The authors acknowledge Amy Mochel of the Providence Veterans Affairs Medical Center for project management support of this project.
The US Department of Veterans Affairs (VA) Community Nursing Home (CNH) program provides 24-hour skilled nursing care for eligible veterans in public or private community-based facilities that have established a contract to care for veterans. Veteran eligibility is based on service-connected status and level of disability, covering the cost of care for veterans who need long-term care because of their service-connected disability or for veterans with disabilities rated at ≥ 70%.1 Between 2014 and 2018, the average daily census of veterans in CNHs increased by 26% and the percentage of funds obligated to this program increased by 49%.2 The VA projects that the number of veterans receiving care in a CNH program will increase by 80% between 2017 and 2037, corresponding to a 149% increase in CNH expenditures.2
CNH program oversight teams are mandated at each VA medical center (VAMC) to monitor care coordination within the CNH program. These teams include nurses and social workers (SWs) who perform regular on-site assessments to monitor the clinical, functional, and psychosocial needs of veterans. These assessments include a review of the electronic health record (EHR) and face-to-face contact with veterans and CNH staff, regardless of the purchasing authority (hospice, long-term care, short-term rehabilitation, respite care).3 These teams represent key stakeholders impacted by CNH program expansion.
While the CNH program has focused primarily on the provision of long-term care, the VA is now expanding to include short-term rehabilitation through Veteran Care Agreements.4 These agreements are authorized under the MISSION Act, designed to improve care for veterans.5 Veteran Care Agreements are expected to be less burdensome to execute than traditional contracts and will permit the VA to partner with more CNHs, as noted in a Congressional Research Service report regarding long-term care services for veterans.6 However, increasing the number of CNHs increases demands on oversight teams, particularly if the coordinators are compelled to perform monthly on-site visits to facilities required under current guidelines.3
The objective of this study was to describe the experiences of VA and CNH staff involved in care coordination and the oversight of veterans receiving CNH care amid Veteran Care Agreement implementation and in anticipation of CNH program expansion. The results are intended to inform expansion efforts within the CNH program.
METHODS
This study was a component of a larger research project examining VA-purchased CNH care; recruitment methods are available in previous publications describing this work.7 Participants provided written or verbal consent before video and phone interviews, respectively. This study was approved by the Colorado Multiple Institutional Review Board (Protocol #18-1186).
Video and phone interviews were conducted by 3 team members from October 2018 to March 2020 with CNH staff and VA CNH program oversight team members. Participant recruitment was paused from May to October 2020 as a result of the COVID-19 pandemic and ambiguity about VA NH care purchasing policies following the passage of the VA MISSION Act.5 We used semistructured interview guides (eAppendix 1 for VA staff and eAppendix 2 for NH staff, available online at doi:10.12788/fp.0421). Recorded and transcribed interviews ranged from 15 to 90 minutes.
Two members of the research team analyzed transcripts using both deductive and inductive content analysis.8 The interview guide informed an a priori codebook, and in vivo codes were included as they emerged. We jointly coded 6 transcripts to reach a consensus on coding approaches and analyzed the remaining transcripts independently with frequent meetings to develop themes with a qualitative methodologist. All qualitative data were analyzed using ATLAS.ti software.
This was a retrospective observational study of veterans who received VA-paid care in CNHs during the 2019 fiscal year (10/1/2018-9/30/2019) using data from the enrollment, inpatient and outpatient encounters, and other care paid for by the VA in the VA Corporate Data Warehouse. We linked Centers for Medicare and Medicaid monthly Nursing Home Compare reports and the Brown University Long Term Care: Facts on Care in the US (LTC FoCUS) annual files to identify facility addresses.9
Descriptive analyses of quantitative data were conducted in parallel with the qualitative findings.8 Distance from the contracting VAMC to CNH was calculated using the greater-circle formula to find the linear distance between geographic coordinates. Quantitative and qualitative data were collected concurrently, analyzed independently, and integrated into the interpretation of results.10
RESULTS
We conducted 36 interviews with VA and NH staff who were affiliated with 6 VAMCs and 17 CNHs. Four themes emerged concerning CNH oversight: (1) benefits of VA CNH team engagement/visits; (2) burden of VA CNH oversight; (3) burden of oversight limited the ability to contract with additional NHs; and (4) factors that ease the burden and facilitate successful oversight.
Benefits of Engagement/Visits
VA SWs and nurses visit each veteran every 30 to 45 days to review their health records, meet with them, and check in with NH staff. In addition, VA SWs and nurses coordinate each veteran’s care by working as liaisons between the VA and the NH to help NH staff problem solve veteran-related issues through care conferences. VA SWs and nurses act as extra advocates for veterans to make sure their needs are met. “This program definitely helps ensure that veterans are receiving higher quality care because if we see that they aren’t, then we do something about it,” a VA NH coordinator reported in an interview.
NH staff noted benefits to monthly VA staff visits, including having an additional person coordinating care and built-in VA liaisons. “It’s nice to have that extra set of eyes, people that you can care plan with,” an NH administrator shared. “It’s definitely a true partnership, and we have open and honest conversations so we can really provide a good service for our veterans.”
Distance & High Veteran Census Burdens
VA participants described oversight components as burdensome. Specifically, several VA participants mentioned that the charting they completed in the facility during each visit proved time consuming and onerous, particularly for distant NHs. To accommodate veterans’ preferences to receive care in a facility close to their homes and families, VAMCs contract with NHs that are geographically spread out. “We’re just all spread out… staff have issues driving 2 and a half hours just to review charts all day,” a VA CNH coordinator explained. In 2019, the mean distance between VAMC and NH was 48 miles, with half located > 32 miles from the VAMC. One-quarter of NHs were > 70 miles and 44% were located > 50 miles from the VAMC (Figure 1).
Participants highlighted how regular oversight visits were particularly time consuming at CNHs with a large contracted population. VA nurses and SWs spend multiple days and up to a week conducting oversight visits at facilities with large numbers of veterans. Another VA nurse highlighted how charting requirements resulted in several days of documentation outside of the NH visit for facilities with many contracted veteran residents. Multiple VA participants noted that having many veterans at an NH exacerbated the oversight burdens. In 2019, 252 (28%) of VA CNHs had > 10 contracted veterans and 1 facility had 34 veterans (Figure 2). VA participants perceived having too many veterans concentrated at 1 facility as potentially challenging for CNHs due to the complex care needs of veterans and the added need for care coordination with the VA. One VA NH coordinator noted that while some facilities were “adept at being able to handle higher numbers” of veterans, others were “overwhelmed.” Too many veterans at an NH, an SW explained, might lead the “facility to fail because we are such a cumbersome system.”
Oversight & Staffing Burden
While several participants described wanting to contract with more NHs to avoid overwhelming existing CNHs and to increase choice for veterans, they expressed concerns about their ability to provide oversight at more facilities due to limited staffing and oversight requirements. Across VAMCs, the median number of VA CNHs varied substantially (Figure 3). One VA participant with about 35 CNHs explained that while adding more NHs could create “more opportunities and options” for veterans, it needs to be balanced with the required oversight responsibilities. One VA nurse insisted that more staff were needed to meet current and future oversight needs. “We’re all getting stretched pretty thin, and just so we don’t drop the ball on things… I would like to see a little more staff if we’re gonna have a lot more nursing homes.”
Participants had concerns related to the VA MISSION Act and the possibility of more VA-paid NHs for rehabilitation or short-term care. Participants underscored the necessity for additional staff to account for the increased oversight burden or a reduction in oversight requirements. One SW felt that increasing the number of CNHs would increase the required oversight and the need for collaboration with NH staff, which would limit her ability to establish close and trusting working relationships with NH staff. Participants also described the challenges of meeting their current oversight requirements, which limited extra visits for acute issues and care conferences. This was attributed to a lack of adequate staffing in the VA CNH program, given the time-intensive nature of VA oversight requirements.
Easing Burden & Facilitating Oversight
Participants noted how obtaining remote access to veterans’ EHRs allowed them to conduct chart reviews before oversight visits. This permitted more time for interaction with veterans and CNH staff as well as coordinating care. While providing access to the VA EHR would not change the chart review component of VA oversight, some participants felt it might improve care coordination between VA and NH staff during monthly visits.
Participants felt they were able to build strong working relationships with facilities with more veterans due to frequent communication and collaboration. VA participants also noted that CNHs with larger veteran censuses were more likely to respond to VA concerns about care to maintain the business relationship and contract. To optimize strong working relationships and decrease the challenges of having too many veterans at a facility, some VA participants suggested that CNH programs create a local policy to recommend the number of veterans placed in a CNH.
Discussion
Participants interviewed for this study echoed findings from previous work that identified the importance of developing trusted working relationships with CNHs to care for veterans.11,12 However, interorganizational care coordination, a shortage of health care professionals, and resource demands associated with caring for veterans reported in other community care settings were also noted in our findings.12,13
Building upon prior recommendations related to community care of veterans, our analysis identified key areas that could improve CNH program oversight efficiency, including: (1) improving the interoperability of EHRs to facilitate coordination of care and oversight; (2) addressing inefficiencies associated with traveling to geographically dispersed CNHs; and (3) “right-sizing” the number of veterans residing in each CNH.
The interoperability of EHRs has been cited by multiple studies of VA community care programs as critical to reducing inefficiencies and allowing more in-person time with veterans and staff in care coordination, especially at rural locations.11-15 The Veterans Health Information Exchange Program is designed to optimize data sharing as veterans are increasingly referred to non-VA care through the MISSION Act. This program is organized around patient engagement, clinician adoption, partner engagement, and technological capabilities.16
Unfortunately, significant barriers exist for the VA CNH program within each of these information exchange domains. For example, patient engagement requires veteran consent for consumer-initiated exchange of medical information, which is not practical due to the high prevalence of cognitive impairment in NHs. Similarly, VA consent requirements prohibit EHR download and sharing with non-VA facilities like CNHs, limiting use. eHealth Exchange partnerships allow organizations caring for veterans to connect with the VA via networks that provide a common trust agreement and technical compliance testing. Unfortunately, in 2017, only 257 NHs in which veterans received care nationally were eHealth Exchange partners, which indicates that while NHs could partner in this information exchange, very few did.16
Finally, while the exchange is possible, it is not practical; most CNHs lack the staff that would be required to support data transfer on their technology platform into the appropriate translational gateways. Although remote access to EHRs in CNHs improved during the pandemic, the Veterans Health Information Exchange Program is not designed to facilitate interoperability of VA and CNH records and remains a significant barrier for this and many other VA community care programs.
The dispersal of veterans across CNHs that are > 50 miles from the nearest VAMC represents an additional area to improve program efficiency and meet growing demands for rural care. While recent field guidance to CNH oversight teams reduces the frequency of visits by VA CNH teams, the burden of driving to each facility is not likely to decrease as CNHs increasingly offer rehabilitation as a part of Veteran Care Agreements.17 Visits performed by telehealth or by trained local VA staff may represent alternatives.15
Finally, interview participants described the ideal range of the number of veterans in each CNH necessary to optimize efficiencies. Veterans who rely more heavily upon VA care tend to have more medical and mental health comorbidities than average Medicare beneficiaries.18,19 This was reflected in participants’ recommendation to have enough veterans to benefit from economies of scale but to also identify a limit when efficiencies are lost. Given that most CNHs cared for 8 to 15 veterans, facilities seem to have identified how best to match the resources available with veterans’ care needs. Based on these observations, new care networks that will be established because of the MISSION Act may benefit from establishing evidence-based policies that support flexibility in oversight frequency and either allow for remote oversight or consolidate the number of CNHs to improve efficiencies in care provision and oversight.20
Limitations
Limitations include the unique relationship between VA and CNH staff overseeing the quality of care provided to veterans in CNHs, which is not replicated in other models of care. Data collection was interrupted following the passage of the MISSION Act in 2018 until guidance on changes to practice resulting from the law were clarified in 2020. Interviews were also interrupted at the onset of the COVID-19 pandemic.
Conclusions
The current quality of the CNH care oversight structure will require adaptation as demand for CNH care increases. While the VA CNH program is one of the longest-standing programs collaborating with non-VA community care partners, it is now only one of many following the MISSION Act. The success of this and other programs will depend on matching available CNH resources to the complex medical and psychological needs of veterans. At a time when strategies to ease the burden on NHs and VA CNH coordinators are desperately needed, Veterans Health Information Exchange capabilities need to improve. Evidence is needed to guide the scaling of the program to meet the needs of the rapidly expanding veteran population who are eligible for CNH care.
Acknowledgments
The authors acknowledge Amy Mochel of the Providence Veterans Affairs Medical Center for project management support of this project.
1. Miller EA, Gadbois E, Gidmark S, Intrator O. Purchasing nursing home care within the Veterans Health Administration: lessons for nursing home recruitment, contracting, and oversight. J Health Admin Educ. 2015;32(2):165-197.
2. GAO. VA health care. Veterans’ use of long-term care is increasing, and VA faces challenges in meeting the demand. February 19, 2020. Accessed September 19, 2023. https://www.gao.gov/assets/gao-20-284.pdf
3. VHA Handbook 1143.2, VHA community nursing home oversight procedures. US Department of Veterans Affairs, Veterans Health Administration. June 2004. https://www.vendorportal.ecms.va.gov/FBODocumentServer/DocumentServer.aspx?DocumentId=3740930&FileName=VA259-17-Q-0501-007.pdf
4. Community care: veteran care agreements. US Department of Veterans Affairs. 2022. Updated August 8, 2023. Accessed September 7, 2023. https://www.va.gov/COMMUNITYCARE/providers/Veterans_Care_Agreements.asp
5. Massarweh NN, Itani KMF, Morris MS. The VA MISSION Act and the future of veterans’ access to quality health care. JAMA. 2020;324(4):343-344. doi:10.1001/jama.2020.4505
6. Colello KJ, Panangala SV; Congressional Research Service. Long-term care services for veterans. February 14, 2017. Accessed September 7, 2023. https://crsreports.congress.gov/product/pdf/R/R44697
7. Magid KH, Galenbeck E, Haverhals LM, et al. Purchasing high-quality community nursing home care: a will to work with VHA diminished by contracting burdens. J Am Med Dir Assoc. 2022;23(11):1757-1764. doi:10.1016/j.jamda.2022.03.007
8. Vaismoradi M, Turunen H, Bondas T. Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nurs Health Sci. 2013;15(3):398-405. doi:10.1111/nhs.12048
9. Brown University. LTC Focus. Accessed September 18, 2023. https://ltcfocus.org/about
10. Zhang W, Creswell J. The use of “mixing” procedure of mixed methods in health services research. Med Care. 2013;51(8):e51-e57. doi:10.1097/MLR.0b013e31824642fd
11. Haverhals LM, Magid KH, Blanchard KN, Levy CR. Veterans Health Administration staff perceptions of overseeing care in community nursing homes during COVID-19. Gerontol Geriatr Med. 2022;8:23337214221080307. Published 2022 Feb 15. doi:10.1177/23337214221080307
12. Garvin LA, Pugatch M, Gurewich D, Pendergast JN, Miller CJ. Interorganizational care coordination of rural veterans by Veterans Affairs and community care programs: a systematic review. Med Care. 2021;59(suppl 3):S259-S269. doi:10.1097/MLR.0000000000001542
13. Schlosser J, Kollisch D, Johnson D, Perkins T, Olson A. VA-community dual care: veteran and clinician perspectives. J Community Health. 2020;45(4):795-802. doi:10.1007/s10900-020-00795-y
14. Nevedal AL, Wong EP, Urech TH, Peppiatt JL, Sorie MR, Vashi AA. Veterans’ experiences with accessing community emergency care. Mil Med. 2023;188(1-2):e58-e64. doi:10.1093/milmed/usab196
15. Levenson SA. Smart case review: a model for successful remote medical direction and enhanced nursing home quality improvement. J Am Med Dir Assoc. 2021;22(10):2212-2215.e6. doi:10.1016/j.jamda.2021.05.043
16. Donahue M, Bouhaddou O, Hsing N, et al. Veterans Health Information Exchange: successes and challenges of nationwide interoperability. AMIA Annu Symp Proc. 2018;2018:385-394. Published 2018 Dec 5.
17. US Department of Veterans Affairs. VHA Notice 2023-07. Community Nursing Home Program. September 5, 2023:1-4.
18. Helmer DA, Dwibedi N, Rowneki M, et al. Mental health conditions and hospitalizations for ambulatory care sensitive conditions among veterans with diabetes. Am Health Drug Benefits. 2020;13(2):61-71.
19. Rosen AK, Wagner TH, Pettey WBP, et al. Differences in risk scores of veterans receiving community care purchased by the Veterans Health Administration. Health Serv Res. 2018;53(suppl 3):5438-5454. doi:10.1111/1475-6773.13051
20. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
1. Miller EA, Gadbois E, Gidmark S, Intrator O. Purchasing nursing home care within the Veterans Health Administration: lessons for nursing home recruitment, contracting, and oversight. J Health Admin Educ. 2015;32(2):165-197.
2. GAO. VA health care. Veterans’ use of long-term care is increasing, and VA faces challenges in meeting the demand. February 19, 2020. Accessed September 19, 2023. https://www.gao.gov/assets/gao-20-284.pdf
3. VHA Handbook 1143.2, VHA community nursing home oversight procedures. US Department of Veterans Affairs, Veterans Health Administration. June 2004. https://www.vendorportal.ecms.va.gov/FBODocumentServer/DocumentServer.aspx?DocumentId=3740930&FileName=VA259-17-Q-0501-007.pdf
4. Community care: veteran care agreements. US Department of Veterans Affairs. 2022. Updated August 8, 2023. Accessed September 7, 2023. https://www.va.gov/COMMUNITYCARE/providers/Veterans_Care_Agreements.asp
5. Massarweh NN, Itani KMF, Morris MS. The VA MISSION Act and the future of veterans’ access to quality health care. JAMA. 2020;324(4):343-344. doi:10.1001/jama.2020.4505
6. Colello KJ, Panangala SV; Congressional Research Service. Long-term care services for veterans. February 14, 2017. Accessed September 7, 2023. https://crsreports.congress.gov/product/pdf/R/R44697
7. Magid KH, Galenbeck E, Haverhals LM, et al. Purchasing high-quality community nursing home care: a will to work with VHA diminished by contracting burdens. J Am Med Dir Assoc. 2022;23(11):1757-1764. doi:10.1016/j.jamda.2022.03.007
8. Vaismoradi M, Turunen H, Bondas T. Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nurs Health Sci. 2013;15(3):398-405. doi:10.1111/nhs.12048
9. Brown University. LTC Focus. Accessed September 18, 2023. https://ltcfocus.org/about
10. Zhang W, Creswell J. The use of “mixing” procedure of mixed methods in health services research. Med Care. 2013;51(8):e51-e57. doi:10.1097/MLR.0b013e31824642fd
11. Haverhals LM, Magid KH, Blanchard KN, Levy CR. Veterans Health Administration staff perceptions of overseeing care in community nursing homes during COVID-19. Gerontol Geriatr Med. 2022;8:23337214221080307. Published 2022 Feb 15. doi:10.1177/23337214221080307
12. Garvin LA, Pugatch M, Gurewich D, Pendergast JN, Miller CJ. Interorganizational care coordination of rural veterans by Veterans Affairs and community care programs: a systematic review. Med Care. 2021;59(suppl 3):S259-S269. doi:10.1097/MLR.0000000000001542
13. Schlosser J, Kollisch D, Johnson D, Perkins T, Olson A. VA-community dual care: veteran and clinician perspectives. J Community Health. 2020;45(4):795-802. doi:10.1007/s10900-020-00795-y
14. Nevedal AL, Wong EP, Urech TH, Peppiatt JL, Sorie MR, Vashi AA. Veterans’ experiences with accessing community emergency care. Mil Med. 2023;188(1-2):e58-e64. doi:10.1093/milmed/usab196
15. Levenson SA. Smart case review: a model for successful remote medical direction and enhanced nursing home quality improvement. J Am Med Dir Assoc. 2021;22(10):2212-2215.e6. doi:10.1016/j.jamda.2021.05.043
16. Donahue M, Bouhaddou O, Hsing N, et al. Veterans Health Information Exchange: successes and challenges of nationwide interoperability. AMIA Annu Symp Proc. 2018;2018:385-394. Published 2018 Dec 5.
17. US Department of Veterans Affairs. VHA Notice 2023-07. Community Nursing Home Program. September 5, 2023:1-4.
18. Helmer DA, Dwibedi N, Rowneki M, et al. Mental health conditions and hospitalizations for ambulatory care sensitive conditions among veterans with diabetes. Am Health Drug Benefits. 2020;13(2):61-71.
19. Rosen AK, Wagner TH, Pettey WBP, et al. Differences in risk scores of veterans receiving community care purchased by the Veterans Health Administration. Health Serv Res. 2018;53(suppl 3):5438-5454. doi:10.1111/1475-6773.13051
20. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
Impact of Liraglutide to Semaglutide Conversion on Glycemic Control and Cost Savings at a Veterans Affairs Medical Center
Semaglutide and liraglutide are glucagon-like peptide 1 receptor agonists (GLP-1 RAs) that are approved by the US Food and Drug Administration as subcutaneous injections for patients with type 2 diabetes mellitus (T2DM). Both are recommended by the American Diabetes Association (ADA) as first-line options for patients with concomitant atherosclerotic cardiovascular (CV) disease and exert therapeutic effect via incretin-like mechanisms.1 These agents lower blood glucose levels by stimulating insulin release, increasing the body’s sensitivity to insulin, and inhibiting inappropriate glucagon secretion.2,3 They also slow gastric emptying, resulting in decreased appetite and potential weight loss.4
The SUSTAIN (1-7) trials concluded that semaglutide presented an equivalent safety profile and greater efficacy compared with other GLP-1 RAs, including exenatide and dulaglutide.2 The SUSTAIN-10 open-label, head-to-head trial evaluating 1 mg semaglutide once weekly vs 1.2 mg liraglutide daily concluded that semaglutide was superior in hemoglobin A1c (HbA1c) and body weight reduction compared with liraglutide, with slightly increased gastrointestinal (GI) adverse effects (AEs).5 Similar to the LEADER trial assessing liraglutide, SUSTAIN-6 evaluated semaglutide in patients at increased CV risk and found that compared with placebo, semaglutide decreased rates of serious CV events, such as CV death, myocardial infarction, and stroke and were similar to the CV outcomes in the LEADER trial.2,6 Although initial results of the SUSTAIN-6 trial were thought to be nearly equivalent to the LEADER trial, analyses later published comparing both trials noted that semaglutide had more potent HbA1c lowering and weight loss benefit when compared with liraglutide.2,6 The cardioprotective outcomes of SUSTAIN-6 qualified semaglutide for inclusion in the current ADA Standards of Medical Care recommendations for CV risk reduction.6,7 However, despite the CV safety profile and efficacy associated with semaglutide, the SUSTAIN-6 trial noted an increased risk of diabetic retinopathy (DR) complications in 50 of 1648 patients (3%) treated with semaglutide compared with 29 of 1649 (1.8%) who received placebo (P = .02; hazard ratio, 1.76; 95% CI, 1.11-2.78).6 Of the 79 total patients who experienced retinopathy complications, 66 had retinopathy at baseline (42 of 50 [84%]) in the semaglutide group; 24 of 29 [83%] in the placebo group).6 Worsening of DR became one of the most notable AEs of semaglutide evaluated in clinical trials. This further deemed the effect as a warning in the semaglutide package insert to assist clinicians with treatment decisions.
As part of a US Department of Veterans Affairs (VA) National Lost Opportunity Cost Savings Initiative, which encompasses administrative efforts to promote more cost-effective yet safe and efficacious therapy options for veterans, the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, converted a portion of patients with T2DM established on liraglutide to semaglutide. The 30-day supply cost of the 2-pack liraglutide 6 mg/mL (3 mL) injection pens for the MEDVAMC was $197.64. The 30-day supply cost for the singular multidose semaglutide 0.5 mg/0.375 mL (1.5 mL) injection pen was $115.15. Cost savings for the MEDVAMC facility were initially estimated to reach $642,522.
The subset of patients converted had to have undergone teleretinal imaging and not have a diagnosis of nonproliferative DR (NPDR), proliferative DR (PDR), or PDR with or without
In the fall of 2021, there was also a standing list of patients on liraglutide who were not converted due to a lack of teleretinal imaging. As a result, there was potential for a quality improvement (QI) intervention to target this patient population, which could result in further cost savings for MEDVAMC and improved glycemic control because of increased conversion from liraglutide to semaglutide. The purpose of this project was to perform a QI assessment on this subset of patients both initially converted from liraglutide to semaglutide, and those who were yet to be converted due to a lack of teleretinal imaging to determine the impact on glycemic control and cost savings.
Methods
This QI project was a single-center, prospective cohort study with a retrospective chart review of veterans with T2DM converted from liraglutide to semaglutide at the MEDVAMC. Patient data were collected from the Computerized Patient Record System (CPRS) between March 1, 2021, and November 30, 2021. An initial subset of patients was converted to semaglutide in March and April 2021. Patients initially excluded underwent a second chart review to determine whether they truly met exclusion criteria. Patients who did not have a definitive diagnosis of NPDR or PDR, those due for updated teleretinal imaging, as well as those with updated teleretinal imaging that excluded NPDR or PDR were targeted for clinician education interventions.
Following this intervention, a subset of patients with negative DR findings were converted from liraglutide to semaglutide. Primary care and endocrinology clinicians were notified that patients who met the criteria should be referred for teleretinal imaging if no updated results were present or that patients were eligible for semaglutide conversion based on negative findings. Both patients who were initially converted as well as those converted following education were included for data collection/analysis of glycemic control via HbA1c and blood glucose levels.
Cost savings were evaluated using outpatient pharmacy procurement pricing data. This project was approved by the MEDVAMC Quality Assurance and Regulatory Affairs Office.
Participants
Patients included in the study were adults aged ≥ 18 years with T2DM, converted from liraglutide 0.6 and 1.2 mg daily to semaglutide 0.25 mg weekly (titrated to 0.5 mg weekly after 4 weeks), and had an active prescription for semaglutide, with or without insulin or other oral antihyperglycemics. Patients with NPDR or PDR, type 1 DM, no HbA1c data, no filled semaglutide prescriptions, insulin pumps, and those without teleretinal imaging within the postintervention period or who died during the study period were excluded.
Patient baseline characteristics collected included demographic data, CV comorbidities, antihyperglycemic medications, and changes in insulin doses. Parameters analyzed at baseline and 3 to 12 months postconversion included body weight, HbA1c, and blood glucose levels.
Outcomes
The primary objectives of this QI project were to assess glycemic control (via changes in HbA1c levels) and cost savings following patient conversion from liraglutide to semaglutide. A second objective was to educate clinicians for referral of T2DM patients without teleretinal imaging in the past 2 years.
The purpose of the latter objective was to encourage conversion from liraglutide to semaglutide in the absence of DR. We predicted that 50% of patients with clinician education would be converted. Secondary objectives included assessing body weight differences, evaluating modifications in diabetes regimen, and documenting AEs. We predicted that glycemic control would either remain stable or improve with conversion to semaglutide.
Statistical Analysis
Patient demographic data were analyzed using descriptive statistics. Quantitative data (HbA1c, blood glucose, and body weight differences as continuous variables) were analyzed using a paired Student t test, and categorical variables were analyzed using the χ2 test.
Results
During the study period, 692 patients were identified with active liraglutide prescriptions (Figure). Of these, 49 patients who were initially excluded due to outdated teleretinal imaging or negative findings met the criteria for clinician education, and 14 of those 49 patients (28.6%) were converted from liraglutide to semaglutide. Thirty-three patients (67.3%) did not schedule teleretinal imaging or did not convert to semaglutide following negative teleretinal findings. Two patients (4.1%) either scheduled or proceeded with teleretinal imaging, without any further action from the clinician.
Including the 14 patients converted posteducational intervention, 425 patients were converted to semaglutide. Excluded from analysis were 121 patients: 57 for incomplete HbA1c data or no filled semaglutide prescription; 30 for HbA1c and weight data outside of the study timeframe; 25 died of causes unrelated to the project; 8 had insulin pumps; and 1 was diagnosed with late-onset type 1 DM. The final sample was 304 patients who underwent analysis.
Two hundred seventy-three patients (89.8%) were male, and 180 (59.2%) were White (Table 1). The mean (SD) age of patients was 65.9 (9.6) years, and 236 (77.6%) were established on insulin therapy (either basal, bolus, or a combination). The 3 most common antihyperglycemic agents (other than insulin) that patients used included 185 metformin (60.9%), 104 empagliflozin (34.2%), and 50 glipizide (16.4%) prescriptions.
Most patients had CV disease. Three hundred patients (98.7%) had comorbid hypertension, 298 (98.0%) had hyperlipidemia, and 114 (37.5%) had coronary artery disease (Table 2). Other diseases that patients were concomitantly diagnosed with included peripheral vascular disease, heart failure, history of stroke or transient ischemic attack, and history of myocardial infarction.
Documented AEs included 83 patients (27.3%) with hypoglycemia at any point within 3 to 12 months of conversion and 25 patients (8.2%) with mainly GI-related events, including nausea, vomiting, diarrhea, decreased appetite, and abdominal pain. Six patients (2.0%) had a new diagnosis of DR 3 to 12 months postconversion.
Glycemic Control and Weight Changes
At baseline, mean (SD) HbA1c was 8.1% (1.5), blood glucose was 187.4 (44.2) mg/dL, and body weight was 112.9 (23.0) kg (Table 3). In the timeframe evaluated (3 to 12 months postconversion), patients’ mean (SD) HbA1c was found to have significantly decreased to 7.6% (1.4) (P < .001; 95% CI, -0.7 to -0.3), blood glucose decreased to 172.6 (39.0) mg/dL (P < .001; 95% CI, -19.3 to -10.2), and body weight decreased to 105.2 (32.3) kg (P < .001; 95% CI, -10.6 to -4.8). All parameters evaluated were deemed statistically significant.
Further analyses evaluating specific changes in HbA1c observed postconversion are as follows: 199 patients (65.5%) experienced a decrease, 92 (30.3%) experienced an increase, and 13 (4.3%) experienced no change in their HbA1c.
As the timeframe was fairly broad to assess HbA1c changes, a prespecified subgroup analysis was conducted to determine specific changes in HbA1c within 3 to 6, 6 to 9, and 9 to 12 months postconversion (Table 4). At 3 to 6 months postconversion, patient mean (SD) HbA1c levels significantly decreased from 8.2% (1.5) at baseline to 7.6% (1.3) postconversion (P = .002; 95% CI, -1.0 to -0.2). At 6 to 9 months postconversion, the mean (SD) HbA1c significantly decreased from 8.1% (1.5) at baseline to 7.6% (1.4) postconversion (P = .002; 95% CI, -0.8 to -0.2).
Glucose-Lowering Agent Adjustments
One hundred thirteen patients (37.2%) required no changes to their antihyperglycemic regimen with the conversion, 85 (28.0%) required increased insulin doses, and 77 (25.3%) required decreased insulin doses (Table 5). Forty-five (14.8%) patients underwent discontinuation of either insulin or other antihyperglycemic agents; 44 (14.5%) had other antihyperglycemic agents dose increased, 39 (12.8%) required adding other glucose-lowering agents, 28 (9.2%) discontinued semaglutide, and 10 (3.3%) had other glucose-lowering medication doses decreased.
Cost Savings
Cost savings were evaluated using the MEDVAMC outpatient pharmacy procurement service. The total cost savings per patient per month was $82.49. For the 411 preclinician education patients converted to semaglutide, this resulted in a prospective annual cost savings of $406,840.68. An additional $13,858.32 was saved due to the intervention/clinician education for 14 patients converted to semaglutide. The total annual cost savings was $420,699.00.
Discussion
Overall, glycemic control significantly improved with veterans’ conversion from liraglutide to semaglutide. Not only were significant changes noted with HbA1c levels and weight, but consistencies were noted with mean HbA1c decrease and weight loss expected of GLP-1 RAs noted in clinical trials. The typical range for HbA1c changes expected is -1% to -2% and weight loss of 1 to 6 kg.4,7 Data from the LEAD-5 and SUSTAIN-4 trials, evaluating glycemic control in liraglutide and semaglutide, respectively, have noted comparable yet slightly more potent HbA1c decreases (-1.33% for liraglutide 1.8 mg daily vs -1.2% and -1.6% for semaglutide 0.5 mg and 1 mg weekly, respectively).8,9 However, more robust weight loss has been noted with semaglutide vs liraglutide (-4.62 kg for semaglutide 0.5 mg weekly and -6.33 kg for semaglutide 1 mg weekly vs -3.43 kg for liraglutide 1.8 mg daily).8,9 Results from the SUSTAIN-10 trial also noted mean changes in HbA1c of -1.7% for semaglutide 1 mg weekly vs -1.0% for liraglutide 1.2 mg daily; mean body weight differences were -5.8 kg for semaglutide and -1.9 kg for liraglutide at their respective doses.5 The mean weight loss noted with this QI project is consistent with prior trials of semaglutide.
Of note, 44 patients (14.5%) required the dosage increase of either one or multiple additional glucose-lowering agents at any time point within the 3- to 12-month period. Of those patients, 38 (86.4%) underwent further semaglutide dose titration to 1 mg weekly. Common reasons for a further dose increase to 1 mg weekly were an indication for more robust HbA1c lowering, a desire to decrease patients’ either basal or bolus insulin requirements, or a treatment goal of completely titrating patients off insulin.
It is uncertain why 30.3% of patients experienced an increase in HbA1c and 4.3% experienced no change. However, possibilities for the divergence in HbA1c outcomes in these subsets of patients may include suboptimal adherence to semaglutide or other antihyperglycemic agents as indicated by clinicians or nonadherence to dietary and lifestyle modifications.
Most patients (65.5%) experienced a decrease in HbA1c because of conversion to semaglutide, and
At the MEDVAMC, liraglutide is a nonformulary agent and semaglutide is now the formulary-preferred option. For patients with uncontrolled T2DM, if a GLP-1 RA is desired for therapy, clinicians are to place a prior authorization drug request (PADR) consultation for semaglutide for further evaluation and review of VA Criteria for Use (CFU) by clinical pharmacist practitioners. Liraglutide is the alternative option if patients do not meet the CFU for semaglutide (ie, have a diagnosis of DR among other exclusions). However, the semaglutide CFU was updated in April 2022 to exclude those specifically diagnosed with PDR, severe NPDR, and macular edema unless an ophthalmologist deems semaglutide acceptable. This indicates that patients with mild-to-moderate NPDR (who were originally excluded from this QI project) are now eligible to receive semaglutide. The incidence of new DR diagnoses (2%) observed in this study could indicate an unclear relationship between semaglutide and increased rates of DR; however, no definitive correlation can be established due to the retrospective nature of this project. The implications of the results of this QI project in relation to the updated CFU remain undetermined.
Due to the comparable improvements in HbA1c and more robust weight loss noted with semaglutide vs liraglutide, we deem it appropriate to select semaglutide as the more cost-efficient GLP-1 RA and formulary preferred option. The data of this QI project supports the overall safety and treatment utility of this option. Although significant cost savings were achieved (> $400,000), the long-term benefit of the liraglutide to semaglutide conversion remains unknown.
Strengths and Limitations
Strengths of this project include the large sample size, its setting in a large VA medical center, and the evaluation of multiple outcomes beyond HbA1c for assessment of glycemic control (ie, mean blood glucose, insulin titration, and dose adjustment of other glucose-lowering agents).
Limitations of this study include the retrospective chart review used for data collection, limited accuracy of objective data due to the COVID-19 pandemic, and inconsistencies with documentation in patients’ electronic health records. As a protective measure in the height of the pandemic between March 2021 and November 2021, the VA promoted using telephone and virtual-visit clinics to minimize exposure for patients with nonurgent follow-up needs. Patient hesitance to present to the clinic in person due to COVID-19 was also a significant factor in obtaining objective follow-up data. As a result, less accurate and timely baseline and postconversion weight and HbA1c data resulted, leading to our decision to extend the timeframe evaluated postconversion to 3 to 12 months. We also noted inconsistencies with documentation in CPRS. Unless veterans were closely followed by clinical pharmacist practitioners or endocrine consultation service clinicians, it was more difficult to follow and document trends of insulin titration to assess the impact of semaglutide conversion. The number of AEs, including hypoglycemia and GI intolerance, were also not consistently documented within the CPRS, and the frequency of AEs may be underestimated.
Another possible limitation regarding the interpretation of the results includes the portion of patients titrated up to semaglutide 1 mg weekly. As the focal point of this project was to review changes in glycemic control in the conversion to semaglutide 0.5 mg, this population of patients converted to 1 mg could potentially overestimate the HbA1c and weight changes described, as it is consistent with the SUSTAIN trials that show more robust decreases in those parameters described earlier.
Conclusions
A subset of patients with T2DM converted from liraglutide to semaglutide experienced significant changes in glycemic control and body weight. Significant differences were noted for a decreased HbA1c, decreased mean blood glucose, and weight loss. A fair portion of patients’ antihyperglycemic regimens required no changes on conversion to semaglutide. Although the semaglutide discontinuation rate neared 10%, AEs that may have contributed to this discontinuation rate included hypoglycemia and GI intolerance. Clinician education resulted in a substantial number of patients undergoing teleretinal imaging and further conversion to semaglutide; however, due to the low conversion response rate, a more effective method of educating clinicians is warranted. Although the semaglutide cost savings initiative at MEDVAMC resulted in significant savings, a full cost-effective analysis is needed to assess more comprehensive institution savings.
1. ElSayed NA, Aleppo G, Aroda VR, et al. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(suppl 1):S140-S157. doi:10.2337/dc23-S009
2. Aroda VR, Ahmann A, Cariou B, et al. Comparative efficacy, safety, and cardiovascular outcome with once-weekly subcutaneous semaglutide in the treatment of type 2 diabetes: insights from the SUSTAIN 1-7 trials. Diabetes Metab. 2019;45(5):409-418. doi:10.1016/j.diabet.2018.12.001
3. Trujillo JM, Nuffer W, Smith BA. GLP-1 receptor agonists: an updated review of head-to-head clinical studies. Ther Adv Endocrinol Metab. 2021;12:2042018821997320. Published 2021 Mar 9. doi:10.1177/2042018821997320
4. Drucker DJ. Mechanisms of action and therapeutic application of glucagon-like peptide-1. Cell Metab. 2018;27(4):740-756. doi:10.1016/j.cmet.2018.03.001
5. Capehorn MS, Catarig AM, Furberg JK, et al. Efficacy and safety of once-weekly semaglutide 1.0mg vs once-daily liraglutide 1.2mg as add-on to 1-3 oral antidiabetic drugs in subjects with type 2 diabetes (SUSTAIN 10). Diabetes Metab. 2020;46(2):100-109. doi:10.1016/j.diabet.2019.101117
6. Marso SP, Bain SC, Consoli A, et al; SUSTAIN-6 Investigators. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2016;375(19):1834-1844. doi:10.1056/NEJMoa1607141
7. ElSayed NA, Aleppo G, Aroda VR, et al. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(suppl 1):S158-S190. doi:10.2337/dc23-S010
8. Russell-Jones D, Vaag A, Schmitz O, et al. Liraglutide vs insulin glargine and placebo in combination with metformin and sulfonylurea therapy in type 2 diabetes mellitus (LEAD-5 met+SU): a randomised controlled trial. Diabetologia. 2009;52(10):2046-2055. doi:10.1007/s00125-009-1472-y
9. Aroda VR, Bain SC, Cariou B, et al. Efficacy and safety of once-weekly semaglutide versus once-daily insulin glargine as add-on to metformin (with or without sulfonylureas) in insulin-naive patients with type 2 diabetes (SUSTAIN 4): a randomised, open-label, parallel-group, multicentre, multinational, phase 3a trial. Lancet Diabetes Endocrinol. 2017;5(5):355-366. doi:10.1016/S2213-8587(17)30085-2
Semaglutide and liraglutide are glucagon-like peptide 1 receptor agonists (GLP-1 RAs) that are approved by the US Food and Drug Administration as subcutaneous injections for patients with type 2 diabetes mellitus (T2DM). Both are recommended by the American Diabetes Association (ADA) as first-line options for patients with concomitant atherosclerotic cardiovascular (CV) disease and exert therapeutic effect via incretin-like mechanisms.1 These agents lower blood glucose levels by stimulating insulin release, increasing the body’s sensitivity to insulin, and inhibiting inappropriate glucagon secretion.2,3 They also slow gastric emptying, resulting in decreased appetite and potential weight loss.4
The SUSTAIN (1-7) trials concluded that semaglutide presented an equivalent safety profile and greater efficacy compared with other GLP-1 RAs, including exenatide and dulaglutide.2 The SUSTAIN-10 open-label, head-to-head trial evaluating 1 mg semaglutide once weekly vs 1.2 mg liraglutide daily concluded that semaglutide was superior in hemoglobin A1c (HbA1c) and body weight reduction compared with liraglutide, with slightly increased gastrointestinal (GI) adverse effects (AEs).5 Similar to the LEADER trial assessing liraglutide, SUSTAIN-6 evaluated semaglutide in patients at increased CV risk and found that compared with placebo, semaglutide decreased rates of serious CV events, such as CV death, myocardial infarction, and stroke and were similar to the CV outcomes in the LEADER trial.2,6 Although initial results of the SUSTAIN-6 trial were thought to be nearly equivalent to the LEADER trial, analyses later published comparing both trials noted that semaglutide had more potent HbA1c lowering and weight loss benefit when compared with liraglutide.2,6 The cardioprotective outcomes of SUSTAIN-6 qualified semaglutide for inclusion in the current ADA Standards of Medical Care recommendations for CV risk reduction.6,7 However, despite the CV safety profile and efficacy associated with semaglutide, the SUSTAIN-6 trial noted an increased risk of diabetic retinopathy (DR) complications in 50 of 1648 patients (3%) treated with semaglutide compared with 29 of 1649 (1.8%) who received placebo (P = .02; hazard ratio, 1.76; 95% CI, 1.11-2.78).6 Of the 79 total patients who experienced retinopathy complications, 66 had retinopathy at baseline (42 of 50 [84%]) in the semaglutide group; 24 of 29 [83%] in the placebo group).6 Worsening of DR became one of the most notable AEs of semaglutide evaluated in clinical trials. This further deemed the effect as a warning in the semaglutide package insert to assist clinicians with treatment decisions.
As part of a US Department of Veterans Affairs (VA) National Lost Opportunity Cost Savings Initiative, which encompasses administrative efforts to promote more cost-effective yet safe and efficacious therapy options for veterans, the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, converted a portion of patients with T2DM established on liraglutide to semaglutide. The 30-day supply cost of the 2-pack liraglutide 6 mg/mL (3 mL) injection pens for the MEDVAMC was $197.64. The 30-day supply cost for the singular multidose semaglutide 0.5 mg/0.375 mL (1.5 mL) injection pen was $115.15. Cost savings for the MEDVAMC facility were initially estimated to reach $642,522.
The subset of patients converted had to have undergone teleretinal imaging and not have a diagnosis of nonproliferative DR (NPDR), proliferative DR (PDR), or PDR with or without
In the fall of 2021, there was also a standing list of patients on liraglutide who were not converted due to a lack of teleretinal imaging. As a result, there was potential for a quality improvement (QI) intervention to target this patient population, which could result in further cost savings for MEDVAMC and improved glycemic control because of increased conversion from liraglutide to semaglutide. The purpose of this project was to perform a QI assessment on this subset of patients both initially converted from liraglutide to semaglutide, and those who were yet to be converted due to a lack of teleretinal imaging to determine the impact on glycemic control and cost savings.
Methods
This QI project was a single-center, prospective cohort study with a retrospective chart review of veterans with T2DM converted from liraglutide to semaglutide at the MEDVAMC. Patient data were collected from the Computerized Patient Record System (CPRS) between March 1, 2021, and November 30, 2021. An initial subset of patients was converted to semaglutide in March and April 2021. Patients initially excluded underwent a second chart review to determine whether they truly met exclusion criteria. Patients who did not have a definitive diagnosis of NPDR or PDR, those due for updated teleretinal imaging, as well as those with updated teleretinal imaging that excluded NPDR or PDR were targeted for clinician education interventions.
Following this intervention, a subset of patients with negative DR findings were converted from liraglutide to semaglutide. Primary care and endocrinology clinicians were notified that patients who met the criteria should be referred for teleretinal imaging if no updated results were present or that patients were eligible for semaglutide conversion based on negative findings. Both patients who were initially converted as well as those converted following education were included for data collection/analysis of glycemic control via HbA1c and blood glucose levels.
Cost savings were evaluated using outpatient pharmacy procurement pricing data. This project was approved by the MEDVAMC Quality Assurance and Regulatory Affairs Office.
Participants
Patients included in the study were adults aged ≥ 18 years with T2DM, converted from liraglutide 0.6 and 1.2 mg daily to semaglutide 0.25 mg weekly (titrated to 0.5 mg weekly after 4 weeks), and had an active prescription for semaglutide, with or without insulin or other oral antihyperglycemics. Patients with NPDR or PDR, type 1 DM, no HbA1c data, no filled semaglutide prescriptions, insulin pumps, and those without teleretinal imaging within the postintervention period or who died during the study period were excluded.
Patient baseline characteristics collected included demographic data, CV comorbidities, antihyperglycemic medications, and changes in insulin doses. Parameters analyzed at baseline and 3 to 12 months postconversion included body weight, HbA1c, and blood glucose levels.
Outcomes
The primary objectives of this QI project were to assess glycemic control (via changes in HbA1c levels) and cost savings following patient conversion from liraglutide to semaglutide. A second objective was to educate clinicians for referral of T2DM patients without teleretinal imaging in the past 2 years.
The purpose of the latter objective was to encourage conversion from liraglutide to semaglutide in the absence of DR. We predicted that 50% of patients with clinician education would be converted. Secondary objectives included assessing body weight differences, evaluating modifications in diabetes regimen, and documenting AEs. We predicted that glycemic control would either remain stable or improve with conversion to semaglutide.
Statistical Analysis
Patient demographic data were analyzed using descriptive statistics. Quantitative data (HbA1c, blood glucose, and body weight differences as continuous variables) were analyzed using a paired Student t test, and categorical variables were analyzed using the χ2 test.
Results
During the study period, 692 patients were identified with active liraglutide prescriptions (Figure). Of these, 49 patients who were initially excluded due to outdated teleretinal imaging or negative findings met the criteria for clinician education, and 14 of those 49 patients (28.6%) were converted from liraglutide to semaglutide. Thirty-three patients (67.3%) did not schedule teleretinal imaging or did not convert to semaglutide following negative teleretinal findings. Two patients (4.1%) either scheduled or proceeded with teleretinal imaging, without any further action from the clinician.
Including the 14 patients converted posteducational intervention, 425 patients were converted to semaglutide. Excluded from analysis were 121 patients: 57 for incomplete HbA1c data or no filled semaglutide prescription; 30 for HbA1c and weight data outside of the study timeframe; 25 died of causes unrelated to the project; 8 had insulin pumps; and 1 was diagnosed with late-onset type 1 DM. The final sample was 304 patients who underwent analysis.
Two hundred seventy-three patients (89.8%) were male, and 180 (59.2%) were White (Table 1). The mean (SD) age of patients was 65.9 (9.6) years, and 236 (77.6%) were established on insulin therapy (either basal, bolus, or a combination). The 3 most common antihyperglycemic agents (other than insulin) that patients used included 185 metformin (60.9%), 104 empagliflozin (34.2%), and 50 glipizide (16.4%) prescriptions.
Most patients had CV disease. Three hundred patients (98.7%) had comorbid hypertension, 298 (98.0%) had hyperlipidemia, and 114 (37.5%) had coronary artery disease (Table 2). Other diseases that patients were concomitantly diagnosed with included peripheral vascular disease, heart failure, history of stroke or transient ischemic attack, and history of myocardial infarction.
Documented AEs included 83 patients (27.3%) with hypoglycemia at any point within 3 to 12 months of conversion and 25 patients (8.2%) with mainly GI-related events, including nausea, vomiting, diarrhea, decreased appetite, and abdominal pain. Six patients (2.0%) had a new diagnosis of DR 3 to 12 months postconversion.
Glycemic Control and Weight Changes
At baseline, mean (SD) HbA1c was 8.1% (1.5), blood glucose was 187.4 (44.2) mg/dL, and body weight was 112.9 (23.0) kg (Table 3). In the timeframe evaluated (3 to 12 months postconversion), patients’ mean (SD) HbA1c was found to have significantly decreased to 7.6% (1.4) (P < .001; 95% CI, -0.7 to -0.3), blood glucose decreased to 172.6 (39.0) mg/dL (P < .001; 95% CI, -19.3 to -10.2), and body weight decreased to 105.2 (32.3) kg (P < .001; 95% CI, -10.6 to -4.8). All parameters evaluated were deemed statistically significant.
Further analyses evaluating specific changes in HbA1c observed postconversion are as follows: 199 patients (65.5%) experienced a decrease, 92 (30.3%) experienced an increase, and 13 (4.3%) experienced no change in their HbA1c.
As the timeframe was fairly broad to assess HbA1c changes, a prespecified subgroup analysis was conducted to determine specific changes in HbA1c within 3 to 6, 6 to 9, and 9 to 12 months postconversion (Table 4). At 3 to 6 months postconversion, patient mean (SD) HbA1c levels significantly decreased from 8.2% (1.5) at baseline to 7.6% (1.3) postconversion (P = .002; 95% CI, -1.0 to -0.2). At 6 to 9 months postconversion, the mean (SD) HbA1c significantly decreased from 8.1% (1.5) at baseline to 7.6% (1.4) postconversion (P = .002; 95% CI, -0.8 to -0.2).
Glucose-Lowering Agent Adjustments
One hundred thirteen patients (37.2%) required no changes to their antihyperglycemic regimen with the conversion, 85 (28.0%) required increased insulin doses, and 77 (25.3%) required decreased insulin doses (Table 5). Forty-five (14.8%) patients underwent discontinuation of either insulin or other antihyperglycemic agents; 44 (14.5%) had other antihyperglycemic agents dose increased, 39 (12.8%) required adding other glucose-lowering agents, 28 (9.2%) discontinued semaglutide, and 10 (3.3%) had other glucose-lowering medication doses decreased.
Cost Savings
Cost savings were evaluated using the MEDVAMC outpatient pharmacy procurement service. The total cost savings per patient per month was $82.49. For the 411 preclinician education patients converted to semaglutide, this resulted in a prospective annual cost savings of $406,840.68. An additional $13,858.32 was saved due to the intervention/clinician education for 14 patients converted to semaglutide. The total annual cost savings was $420,699.00.
Discussion
Overall, glycemic control significantly improved with veterans’ conversion from liraglutide to semaglutide. Not only were significant changes noted with HbA1c levels and weight, but consistencies were noted with mean HbA1c decrease and weight loss expected of GLP-1 RAs noted in clinical trials. The typical range for HbA1c changes expected is -1% to -2% and weight loss of 1 to 6 kg.4,7 Data from the LEAD-5 and SUSTAIN-4 trials, evaluating glycemic control in liraglutide and semaglutide, respectively, have noted comparable yet slightly more potent HbA1c decreases (-1.33% for liraglutide 1.8 mg daily vs -1.2% and -1.6% for semaglutide 0.5 mg and 1 mg weekly, respectively).8,9 However, more robust weight loss has been noted with semaglutide vs liraglutide (-4.62 kg for semaglutide 0.5 mg weekly and -6.33 kg for semaglutide 1 mg weekly vs -3.43 kg for liraglutide 1.8 mg daily).8,9 Results from the SUSTAIN-10 trial also noted mean changes in HbA1c of -1.7% for semaglutide 1 mg weekly vs -1.0% for liraglutide 1.2 mg daily; mean body weight differences were -5.8 kg for semaglutide and -1.9 kg for liraglutide at their respective doses.5 The mean weight loss noted with this QI project is consistent with prior trials of semaglutide.
Of note, 44 patients (14.5%) required the dosage increase of either one or multiple additional glucose-lowering agents at any time point within the 3- to 12-month period. Of those patients, 38 (86.4%) underwent further semaglutide dose titration to 1 mg weekly. Common reasons for a further dose increase to 1 mg weekly were an indication for more robust HbA1c lowering, a desire to decrease patients’ either basal or bolus insulin requirements, or a treatment goal of completely titrating patients off insulin.
It is uncertain why 30.3% of patients experienced an increase in HbA1c and 4.3% experienced no change. However, possibilities for the divergence in HbA1c outcomes in these subsets of patients may include suboptimal adherence to semaglutide or other antihyperglycemic agents as indicated by clinicians or nonadherence to dietary and lifestyle modifications.
Most patients (65.5%) experienced a decrease in HbA1c because of conversion to semaglutide, and
At the MEDVAMC, liraglutide is a nonformulary agent and semaglutide is now the formulary-preferred option. For patients with uncontrolled T2DM, if a GLP-1 RA is desired for therapy, clinicians are to place a prior authorization drug request (PADR) consultation for semaglutide for further evaluation and review of VA Criteria for Use (CFU) by clinical pharmacist practitioners. Liraglutide is the alternative option if patients do not meet the CFU for semaglutide (ie, have a diagnosis of DR among other exclusions). However, the semaglutide CFU was updated in April 2022 to exclude those specifically diagnosed with PDR, severe NPDR, and macular edema unless an ophthalmologist deems semaglutide acceptable. This indicates that patients with mild-to-moderate NPDR (who were originally excluded from this QI project) are now eligible to receive semaglutide. The incidence of new DR diagnoses (2%) observed in this study could indicate an unclear relationship between semaglutide and increased rates of DR; however, no definitive correlation can be established due to the retrospective nature of this project. The implications of the results of this QI project in relation to the updated CFU remain undetermined.
Due to the comparable improvements in HbA1c and more robust weight loss noted with semaglutide vs liraglutide, we deem it appropriate to select semaglutide as the more cost-efficient GLP-1 RA and formulary preferred option. The data of this QI project supports the overall safety and treatment utility of this option. Although significant cost savings were achieved (> $400,000), the long-term benefit of the liraglutide to semaglutide conversion remains unknown.
Strengths and Limitations
Strengths of this project include the large sample size, its setting in a large VA medical center, and the evaluation of multiple outcomes beyond HbA1c for assessment of glycemic control (ie, mean blood glucose, insulin titration, and dose adjustment of other glucose-lowering agents).
Limitations of this study include the retrospective chart review used for data collection, limited accuracy of objective data due to the COVID-19 pandemic, and inconsistencies with documentation in patients’ electronic health records. As a protective measure in the height of the pandemic between March 2021 and November 2021, the VA promoted using telephone and virtual-visit clinics to minimize exposure for patients with nonurgent follow-up needs. Patient hesitance to present to the clinic in person due to COVID-19 was also a significant factor in obtaining objective follow-up data. As a result, less accurate and timely baseline and postconversion weight and HbA1c data resulted, leading to our decision to extend the timeframe evaluated postconversion to 3 to 12 months. We also noted inconsistencies with documentation in CPRS. Unless veterans were closely followed by clinical pharmacist practitioners or endocrine consultation service clinicians, it was more difficult to follow and document trends of insulin titration to assess the impact of semaglutide conversion. The number of AEs, including hypoglycemia and GI intolerance, were also not consistently documented within the CPRS, and the frequency of AEs may be underestimated.
Another possible limitation regarding the interpretation of the results includes the portion of patients titrated up to semaglutide 1 mg weekly. As the focal point of this project was to review changes in glycemic control in the conversion to semaglutide 0.5 mg, this population of patients converted to 1 mg could potentially overestimate the HbA1c and weight changes described, as it is consistent with the SUSTAIN trials that show more robust decreases in those parameters described earlier.
Conclusions
A subset of patients with T2DM converted from liraglutide to semaglutide experienced significant changes in glycemic control and body weight. Significant differences were noted for a decreased HbA1c, decreased mean blood glucose, and weight loss. A fair portion of patients’ antihyperglycemic regimens required no changes on conversion to semaglutide. Although the semaglutide discontinuation rate neared 10%, AEs that may have contributed to this discontinuation rate included hypoglycemia and GI intolerance. Clinician education resulted in a substantial number of patients undergoing teleretinal imaging and further conversion to semaglutide; however, due to the low conversion response rate, a more effective method of educating clinicians is warranted. Although the semaglutide cost savings initiative at MEDVAMC resulted in significant savings, a full cost-effective analysis is needed to assess more comprehensive institution savings.
Semaglutide and liraglutide are glucagon-like peptide 1 receptor agonists (GLP-1 RAs) that are approved by the US Food and Drug Administration as subcutaneous injections for patients with type 2 diabetes mellitus (T2DM). Both are recommended by the American Diabetes Association (ADA) as first-line options for patients with concomitant atherosclerotic cardiovascular (CV) disease and exert therapeutic effect via incretin-like mechanisms.1 These agents lower blood glucose levels by stimulating insulin release, increasing the body’s sensitivity to insulin, and inhibiting inappropriate glucagon secretion.2,3 They also slow gastric emptying, resulting in decreased appetite and potential weight loss.4
The SUSTAIN (1-7) trials concluded that semaglutide presented an equivalent safety profile and greater efficacy compared with other GLP-1 RAs, including exenatide and dulaglutide.2 The SUSTAIN-10 open-label, head-to-head trial evaluating 1 mg semaglutide once weekly vs 1.2 mg liraglutide daily concluded that semaglutide was superior in hemoglobin A1c (HbA1c) and body weight reduction compared with liraglutide, with slightly increased gastrointestinal (GI) adverse effects (AEs).5 Similar to the LEADER trial assessing liraglutide, SUSTAIN-6 evaluated semaglutide in patients at increased CV risk and found that compared with placebo, semaglutide decreased rates of serious CV events, such as CV death, myocardial infarction, and stroke and were similar to the CV outcomes in the LEADER trial.2,6 Although initial results of the SUSTAIN-6 trial were thought to be nearly equivalent to the LEADER trial, analyses later published comparing both trials noted that semaglutide had more potent HbA1c lowering and weight loss benefit when compared with liraglutide.2,6 The cardioprotective outcomes of SUSTAIN-6 qualified semaglutide for inclusion in the current ADA Standards of Medical Care recommendations for CV risk reduction.6,7 However, despite the CV safety profile and efficacy associated with semaglutide, the SUSTAIN-6 trial noted an increased risk of diabetic retinopathy (DR) complications in 50 of 1648 patients (3%) treated with semaglutide compared with 29 of 1649 (1.8%) who received placebo (P = .02; hazard ratio, 1.76; 95% CI, 1.11-2.78).6 Of the 79 total patients who experienced retinopathy complications, 66 had retinopathy at baseline (42 of 50 [84%]) in the semaglutide group; 24 of 29 [83%] in the placebo group).6 Worsening of DR became one of the most notable AEs of semaglutide evaluated in clinical trials. This further deemed the effect as a warning in the semaglutide package insert to assist clinicians with treatment decisions.
As part of a US Department of Veterans Affairs (VA) National Lost Opportunity Cost Savings Initiative, which encompasses administrative efforts to promote more cost-effective yet safe and efficacious therapy options for veterans, the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, converted a portion of patients with T2DM established on liraglutide to semaglutide. The 30-day supply cost of the 2-pack liraglutide 6 mg/mL (3 mL) injection pens for the MEDVAMC was $197.64. The 30-day supply cost for the singular multidose semaglutide 0.5 mg/0.375 mL (1.5 mL) injection pen was $115.15. Cost savings for the MEDVAMC facility were initially estimated to reach $642,522.
The subset of patients converted had to have undergone teleretinal imaging and not have a diagnosis of nonproliferative DR (NPDR), proliferative DR (PDR), or PDR with or without
In the fall of 2021, there was also a standing list of patients on liraglutide who were not converted due to a lack of teleretinal imaging. As a result, there was potential for a quality improvement (QI) intervention to target this patient population, which could result in further cost savings for MEDVAMC and improved glycemic control because of increased conversion from liraglutide to semaglutide. The purpose of this project was to perform a QI assessment on this subset of patients both initially converted from liraglutide to semaglutide, and those who were yet to be converted due to a lack of teleretinal imaging to determine the impact on glycemic control and cost savings.
Methods
This QI project was a single-center, prospective cohort study with a retrospective chart review of veterans with T2DM converted from liraglutide to semaglutide at the MEDVAMC. Patient data were collected from the Computerized Patient Record System (CPRS) between March 1, 2021, and November 30, 2021. An initial subset of patients was converted to semaglutide in March and April 2021. Patients initially excluded underwent a second chart review to determine whether they truly met exclusion criteria. Patients who did not have a definitive diagnosis of NPDR or PDR, those due for updated teleretinal imaging, as well as those with updated teleretinal imaging that excluded NPDR or PDR were targeted for clinician education interventions.
Following this intervention, a subset of patients with negative DR findings were converted from liraglutide to semaglutide. Primary care and endocrinology clinicians were notified that patients who met the criteria should be referred for teleretinal imaging if no updated results were present or that patients were eligible for semaglutide conversion based on negative findings. Both patients who were initially converted as well as those converted following education were included for data collection/analysis of glycemic control via HbA1c and blood glucose levels.
Cost savings were evaluated using outpatient pharmacy procurement pricing data. This project was approved by the MEDVAMC Quality Assurance and Regulatory Affairs Office.
Participants
Patients included in the study were adults aged ≥ 18 years with T2DM, converted from liraglutide 0.6 and 1.2 mg daily to semaglutide 0.25 mg weekly (titrated to 0.5 mg weekly after 4 weeks), and had an active prescription for semaglutide, with or without insulin or other oral antihyperglycemics. Patients with NPDR or PDR, type 1 DM, no HbA1c data, no filled semaglutide prescriptions, insulin pumps, and those without teleretinal imaging within the postintervention period or who died during the study period were excluded.
Patient baseline characteristics collected included demographic data, CV comorbidities, antihyperglycemic medications, and changes in insulin doses. Parameters analyzed at baseline and 3 to 12 months postconversion included body weight, HbA1c, and blood glucose levels.
Outcomes
The primary objectives of this QI project were to assess glycemic control (via changes in HbA1c levels) and cost savings following patient conversion from liraglutide to semaglutide. A second objective was to educate clinicians for referral of T2DM patients without teleretinal imaging in the past 2 years.
The purpose of the latter objective was to encourage conversion from liraglutide to semaglutide in the absence of DR. We predicted that 50% of patients with clinician education would be converted. Secondary objectives included assessing body weight differences, evaluating modifications in diabetes regimen, and documenting AEs. We predicted that glycemic control would either remain stable or improve with conversion to semaglutide.
Statistical Analysis
Patient demographic data were analyzed using descriptive statistics. Quantitative data (HbA1c, blood glucose, and body weight differences as continuous variables) were analyzed using a paired Student t test, and categorical variables were analyzed using the χ2 test.
Results
During the study period, 692 patients were identified with active liraglutide prescriptions (Figure). Of these, 49 patients who were initially excluded due to outdated teleretinal imaging or negative findings met the criteria for clinician education, and 14 of those 49 patients (28.6%) were converted from liraglutide to semaglutide. Thirty-three patients (67.3%) did not schedule teleretinal imaging or did not convert to semaglutide following negative teleretinal findings. Two patients (4.1%) either scheduled or proceeded with teleretinal imaging, without any further action from the clinician.
Including the 14 patients converted posteducational intervention, 425 patients were converted to semaglutide. Excluded from analysis were 121 patients: 57 for incomplete HbA1c data or no filled semaglutide prescription; 30 for HbA1c and weight data outside of the study timeframe; 25 died of causes unrelated to the project; 8 had insulin pumps; and 1 was diagnosed with late-onset type 1 DM. The final sample was 304 patients who underwent analysis.
Two hundred seventy-three patients (89.8%) were male, and 180 (59.2%) were White (Table 1). The mean (SD) age of patients was 65.9 (9.6) years, and 236 (77.6%) were established on insulin therapy (either basal, bolus, or a combination). The 3 most common antihyperglycemic agents (other than insulin) that patients used included 185 metformin (60.9%), 104 empagliflozin (34.2%), and 50 glipizide (16.4%) prescriptions.
Most patients had CV disease. Three hundred patients (98.7%) had comorbid hypertension, 298 (98.0%) had hyperlipidemia, and 114 (37.5%) had coronary artery disease (Table 2). Other diseases that patients were concomitantly diagnosed with included peripheral vascular disease, heart failure, history of stroke or transient ischemic attack, and history of myocardial infarction.
Documented AEs included 83 patients (27.3%) with hypoglycemia at any point within 3 to 12 months of conversion and 25 patients (8.2%) with mainly GI-related events, including nausea, vomiting, diarrhea, decreased appetite, and abdominal pain. Six patients (2.0%) had a new diagnosis of DR 3 to 12 months postconversion.
Glycemic Control and Weight Changes
At baseline, mean (SD) HbA1c was 8.1% (1.5), blood glucose was 187.4 (44.2) mg/dL, and body weight was 112.9 (23.0) kg (Table 3). In the timeframe evaluated (3 to 12 months postconversion), patients’ mean (SD) HbA1c was found to have significantly decreased to 7.6% (1.4) (P < .001; 95% CI, -0.7 to -0.3), blood glucose decreased to 172.6 (39.0) mg/dL (P < .001; 95% CI, -19.3 to -10.2), and body weight decreased to 105.2 (32.3) kg (P < .001; 95% CI, -10.6 to -4.8). All parameters evaluated were deemed statistically significant.
Further analyses evaluating specific changes in HbA1c observed postconversion are as follows: 199 patients (65.5%) experienced a decrease, 92 (30.3%) experienced an increase, and 13 (4.3%) experienced no change in their HbA1c.
As the timeframe was fairly broad to assess HbA1c changes, a prespecified subgroup analysis was conducted to determine specific changes in HbA1c within 3 to 6, 6 to 9, and 9 to 12 months postconversion (Table 4). At 3 to 6 months postconversion, patient mean (SD) HbA1c levels significantly decreased from 8.2% (1.5) at baseline to 7.6% (1.3) postconversion (P = .002; 95% CI, -1.0 to -0.2). At 6 to 9 months postconversion, the mean (SD) HbA1c significantly decreased from 8.1% (1.5) at baseline to 7.6% (1.4) postconversion (P = .002; 95% CI, -0.8 to -0.2).
Glucose-Lowering Agent Adjustments
One hundred thirteen patients (37.2%) required no changes to their antihyperglycemic regimen with the conversion, 85 (28.0%) required increased insulin doses, and 77 (25.3%) required decreased insulin doses (Table 5). Forty-five (14.8%) patients underwent discontinuation of either insulin or other antihyperglycemic agents; 44 (14.5%) had other antihyperglycemic agents dose increased, 39 (12.8%) required adding other glucose-lowering agents, 28 (9.2%) discontinued semaglutide, and 10 (3.3%) had other glucose-lowering medication doses decreased.
Cost Savings
Cost savings were evaluated using the MEDVAMC outpatient pharmacy procurement service. The total cost savings per patient per month was $82.49. For the 411 preclinician education patients converted to semaglutide, this resulted in a prospective annual cost savings of $406,840.68. An additional $13,858.32 was saved due to the intervention/clinician education for 14 patients converted to semaglutide. The total annual cost savings was $420,699.00.
Discussion
Overall, glycemic control significantly improved with veterans’ conversion from liraglutide to semaglutide. Not only were significant changes noted with HbA1c levels and weight, but consistencies were noted with mean HbA1c decrease and weight loss expected of GLP-1 RAs noted in clinical trials. The typical range for HbA1c changes expected is -1% to -2% and weight loss of 1 to 6 kg.4,7 Data from the LEAD-5 and SUSTAIN-4 trials, evaluating glycemic control in liraglutide and semaglutide, respectively, have noted comparable yet slightly more potent HbA1c decreases (-1.33% for liraglutide 1.8 mg daily vs -1.2% and -1.6% for semaglutide 0.5 mg and 1 mg weekly, respectively).8,9 However, more robust weight loss has been noted with semaglutide vs liraglutide (-4.62 kg for semaglutide 0.5 mg weekly and -6.33 kg for semaglutide 1 mg weekly vs -3.43 kg for liraglutide 1.8 mg daily).8,9 Results from the SUSTAIN-10 trial also noted mean changes in HbA1c of -1.7% for semaglutide 1 mg weekly vs -1.0% for liraglutide 1.2 mg daily; mean body weight differences were -5.8 kg for semaglutide and -1.9 kg for liraglutide at their respective doses.5 The mean weight loss noted with this QI project is consistent with prior trials of semaglutide.
Of note, 44 patients (14.5%) required the dosage increase of either one or multiple additional glucose-lowering agents at any time point within the 3- to 12-month period. Of those patients, 38 (86.4%) underwent further semaglutide dose titration to 1 mg weekly. Common reasons for a further dose increase to 1 mg weekly were an indication for more robust HbA1c lowering, a desire to decrease patients’ either basal or bolus insulin requirements, or a treatment goal of completely titrating patients off insulin.
It is uncertain why 30.3% of patients experienced an increase in HbA1c and 4.3% experienced no change. However, possibilities for the divergence in HbA1c outcomes in these subsets of patients may include suboptimal adherence to semaglutide or other antihyperglycemic agents as indicated by clinicians or nonadherence to dietary and lifestyle modifications.
Most patients (65.5%) experienced a decrease in HbA1c because of conversion to semaglutide, and
At the MEDVAMC, liraglutide is a nonformulary agent and semaglutide is now the formulary-preferred option. For patients with uncontrolled T2DM, if a GLP-1 RA is desired for therapy, clinicians are to place a prior authorization drug request (PADR) consultation for semaglutide for further evaluation and review of VA Criteria for Use (CFU) by clinical pharmacist practitioners. Liraglutide is the alternative option if patients do not meet the CFU for semaglutide (ie, have a diagnosis of DR among other exclusions). However, the semaglutide CFU was updated in April 2022 to exclude those specifically diagnosed with PDR, severe NPDR, and macular edema unless an ophthalmologist deems semaglutide acceptable. This indicates that patients with mild-to-moderate NPDR (who were originally excluded from this QI project) are now eligible to receive semaglutide. The incidence of new DR diagnoses (2%) observed in this study could indicate an unclear relationship between semaglutide and increased rates of DR; however, no definitive correlation can be established due to the retrospective nature of this project. The implications of the results of this QI project in relation to the updated CFU remain undetermined.
Due to the comparable improvements in HbA1c and more robust weight loss noted with semaglutide vs liraglutide, we deem it appropriate to select semaglutide as the more cost-efficient GLP-1 RA and formulary preferred option. The data of this QI project supports the overall safety and treatment utility of this option. Although significant cost savings were achieved (> $400,000), the long-term benefit of the liraglutide to semaglutide conversion remains unknown.
Strengths and Limitations
Strengths of this project include the large sample size, its setting in a large VA medical center, and the evaluation of multiple outcomes beyond HbA1c for assessment of glycemic control (ie, mean blood glucose, insulin titration, and dose adjustment of other glucose-lowering agents).
Limitations of this study include the retrospective chart review used for data collection, limited accuracy of objective data due to the COVID-19 pandemic, and inconsistencies with documentation in patients’ electronic health records. As a protective measure in the height of the pandemic between March 2021 and November 2021, the VA promoted using telephone and virtual-visit clinics to minimize exposure for patients with nonurgent follow-up needs. Patient hesitance to present to the clinic in person due to COVID-19 was also a significant factor in obtaining objective follow-up data. As a result, less accurate and timely baseline and postconversion weight and HbA1c data resulted, leading to our decision to extend the timeframe evaluated postconversion to 3 to 12 months. We also noted inconsistencies with documentation in CPRS. Unless veterans were closely followed by clinical pharmacist practitioners or endocrine consultation service clinicians, it was more difficult to follow and document trends of insulin titration to assess the impact of semaglutide conversion. The number of AEs, including hypoglycemia and GI intolerance, were also not consistently documented within the CPRS, and the frequency of AEs may be underestimated.
Another possible limitation regarding the interpretation of the results includes the portion of patients titrated up to semaglutide 1 mg weekly. As the focal point of this project was to review changes in glycemic control in the conversion to semaglutide 0.5 mg, this population of patients converted to 1 mg could potentially overestimate the HbA1c and weight changes described, as it is consistent with the SUSTAIN trials that show more robust decreases in those parameters described earlier.
Conclusions
A subset of patients with T2DM converted from liraglutide to semaglutide experienced significant changes in glycemic control and body weight. Significant differences were noted for a decreased HbA1c, decreased mean blood glucose, and weight loss. A fair portion of patients’ antihyperglycemic regimens required no changes on conversion to semaglutide. Although the semaglutide discontinuation rate neared 10%, AEs that may have contributed to this discontinuation rate included hypoglycemia and GI intolerance. Clinician education resulted in a substantial number of patients undergoing teleretinal imaging and further conversion to semaglutide; however, due to the low conversion response rate, a more effective method of educating clinicians is warranted. Although the semaglutide cost savings initiative at MEDVAMC resulted in significant savings, a full cost-effective analysis is needed to assess more comprehensive institution savings.
1. ElSayed NA, Aleppo G, Aroda VR, et al. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(suppl 1):S140-S157. doi:10.2337/dc23-S009
2. Aroda VR, Ahmann A, Cariou B, et al. Comparative efficacy, safety, and cardiovascular outcome with once-weekly subcutaneous semaglutide in the treatment of type 2 diabetes: insights from the SUSTAIN 1-7 trials. Diabetes Metab. 2019;45(5):409-418. doi:10.1016/j.diabet.2018.12.001
3. Trujillo JM, Nuffer W, Smith BA. GLP-1 receptor agonists: an updated review of head-to-head clinical studies. Ther Adv Endocrinol Metab. 2021;12:2042018821997320. Published 2021 Mar 9. doi:10.1177/2042018821997320
4. Drucker DJ. Mechanisms of action and therapeutic application of glucagon-like peptide-1. Cell Metab. 2018;27(4):740-756. doi:10.1016/j.cmet.2018.03.001
5. Capehorn MS, Catarig AM, Furberg JK, et al. Efficacy and safety of once-weekly semaglutide 1.0mg vs once-daily liraglutide 1.2mg as add-on to 1-3 oral antidiabetic drugs in subjects with type 2 diabetes (SUSTAIN 10). Diabetes Metab. 2020;46(2):100-109. doi:10.1016/j.diabet.2019.101117
6. Marso SP, Bain SC, Consoli A, et al; SUSTAIN-6 Investigators. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2016;375(19):1834-1844. doi:10.1056/NEJMoa1607141
7. ElSayed NA, Aleppo G, Aroda VR, et al. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(suppl 1):S158-S190. doi:10.2337/dc23-S010
8. Russell-Jones D, Vaag A, Schmitz O, et al. Liraglutide vs insulin glargine and placebo in combination with metformin and sulfonylurea therapy in type 2 diabetes mellitus (LEAD-5 met+SU): a randomised controlled trial. Diabetologia. 2009;52(10):2046-2055. doi:10.1007/s00125-009-1472-y
9. Aroda VR, Bain SC, Cariou B, et al. Efficacy and safety of once-weekly semaglutide versus once-daily insulin glargine as add-on to metformin (with or without sulfonylureas) in insulin-naive patients with type 2 diabetes (SUSTAIN 4): a randomised, open-label, parallel-group, multicentre, multinational, phase 3a trial. Lancet Diabetes Endocrinol. 2017;5(5):355-366. doi:10.1016/S2213-8587(17)30085-2
1. ElSayed NA, Aleppo G, Aroda VR, et al. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(suppl 1):S140-S157. doi:10.2337/dc23-S009
2. Aroda VR, Ahmann A, Cariou B, et al. Comparative efficacy, safety, and cardiovascular outcome with once-weekly subcutaneous semaglutide in the treatment of type 2 diabetes: insights from the SUSTAIN 1-7 trials. Diabetes Metab. 2019;45(5):409-418. doi:10.1016/j.diabet.2018.12.001
3. Trujillo JM, Nuffer W, Smith BA. GLP-1 receptor agonists: an updated review of head-to-head clinical studies. Ther Adv Endocrinol Metab. 2021;12:2042018821997320. Published 2021 Mar 9. doi:10.1177/2042018821997320
4. Drucker DJ. Mechanisms of action and therapeutic application of glucagon-like peptide-1. Cell Metab. 2018;27(4):740-756. doi:10.1016/j.cmet.2018.03.001
5. Capehorn MS, Catarig AM, Furberg JK, et al. Efficacy and safety of once-weekly semaglutide 1.0mg vs once-daily liraglutide 1.2mg as add-on to 1-3 oral antidiabetic drugs in subjects with type 2 diabetes (SUSTAIN 10). Diabetes Metab. 2020;46(2):100-109. doi:10.1016/j.diabet.2019.101117
6. Marso SP, Bain SC, Consoli A, et al; SUSTAIN-6 Investigators. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2016;375(19):1834-1844. doi:10.1056/NEJMoa1607141
7. ElSayed NA, Aleppo G, Aroda VR, et al. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(suppl 1):S158-S190. doi:10.2337/dc23-S010
8. Russell-Jones D, Vaag A, Schmitz O, et al. Liraglutide vs insulin glargine and placebo in combination with metformin and sulfonylurea therapy in type 2 diabetes mellitus (LEAD-5 met+SU): a randomised controlled trial. Diabetologia. 2009;52(10):2046-2055. doi:10.1007/s00125-009-1472-y
9. Aroda VR, Bain SC, Cariou B, et al. Efficacy and safety of once-weekly semaglutide versus once-daily insulin glargine as add-on to metformin (with or without sulfonylureas) in insulin-naive patients with type 2 diabetes (SUSTAIN 4): a randomised, open-label, parallel-group, multicentre, multinational, phase 3a trial. Lancet Diabetes Endocrinol. 2017;5(5):355-366. doi:10.1016/S2213-8587(17)30085-2
Video-Based Coaching for Dermatology Resident Surgical Education
To the Editor:
Video-based coaching (VBC) involves a surgeon recording a surgery and then reviewing the video with a surgical coach; it is a form of education that is gaining popularity among surgical specialties.1 Video-based education is underutilized in dermatology residency training.2 We conducted a pilot study at our dermatology residency program to evaluate the efficacy and feasibility of VBC.
The University of Texas at Austin Dell Medical School institutional review board approved this study. All 4 first-year dermatology residents were recruited to participate in this study. Participants filled out a prestudy survey assessing their surgical experience, confidence in performing surgery, and attitudes on VBC. Participants used a head-mounted point-of-view camera to record themselves performing a wide local excision on the trunk or extremities of a live human patient. Participants then reviewed the recording on their own and scored themselves using the Objective Structured Assessment of Technical Skills (OSATS) scoring table (scored from 1 to 5, with 5 being the highest possible score for each element), which is a validated tool for assessing surgical skills (eTable 1).3 Given that there were no assistants participating in the surgery, this element of the OSATS scoring table was excluded, making a maximum possible score of 30 and a minimum possible score of 6. After scoring themselves, participants then had a 1-on-1 coaching session with a fellowship-trained dermatologic surgeon (M.F. or T.H.) via online teleconferencing.
During the coaching session, participants and coaches reviewed the video. The surgical coaches also scored the residents using the OSATS, then residents and coaches discussed how the resident could improve using the OSATS scores as a guide. The residents then completed a poststudy survey assessing their surgical experience, confidence in performing surgery, and attitudes on VBC. Descriptive statistics were reported.
On average, residents spent 31.3 minutes reviewing their own surgeries and scoring themselves. The average time for a coaching session, which included time spent scoring, was 13.8 minutes. Residents scored themselves lower than the surgical coaches did by an average of 5.25 points (eTable 2). Residents gave themselves an average total score of 10.5, while their respective surgical coaches gave the residents an average score of 15.75. There was a trend of residents with greater surgical experience having higher OSATS scores (Figure). After the coaching session, 3 of 4 residents reported that they felt more confident in their surgical skills. All residents felt more confident in assessing their surgical skills and felt that VBC was an effective teaching measure. All residents agreed that VBC should be continued as part of their residency training.
Video-based coaching has the potential to provide several benefits for dermatology trainees. Because receiving feedback intraoperatively often can be distracting and incomplete, video review can instead allow the surgeon to focus on performing the surgery and then later focus on learning while reviewing the video.1,4 Feedback also can be more comprehensive and delivered without concern for time constraints or disturbing clinic flow as well as without the additional concern of the patient overhearing comments and feedback.3 Although independent video review in the absence of coaching can lead to improvement in surgical skills, the addition of VBC provides even greater potential educational benefit.4 During the COVID-19 pandemic, VBC allowed coaches to provide feedback without additional exposures. We utilized dermatologic surgery faculty as coaches, but this format of training also would apply to general dermatology faculty.
Another goal of VBC is to enhance a trainee’s ability to perform self-directed learning, which requires accurate self-assessment.4 Accurately assessing one’s own strengths empowers a trainee to act with appropriate confidence, while understanding one’s own weaknesses allows a trainee to effectively balance confidence and caution in daily practice.5 Interestingly, in our study all residents scored themselves lower than surgical coaches, but with 1 coaching session, the residents subsequently reported greater surgical confidence.
Time constraints can be a potential barrier to surgical coaching.4 Our study demonstrates that VBC requires minimal time investment. Increasing the speed of video playback allowed for efficient evaluation of resident surgeries without compromising the coach’s ability to provide comprehensive feedback. Our feedback sessions were performed virtually, which allowed for ease of scheduling between trainees and coaches.
Our pilot study demonstrated that VBC is relatively easy to implement in a dermatology residency training setting, leveraging relatively low-cost technologies and allowing for a means of learning that residents felt was effective. Video-based coaching requires minimal time investment from both trainees and coaches and has the potential to enhance surgical confidence. Our current study is limited by its small sample size. Future studies should include follow-up recordings and assess the efficacy of VBC in enhancing surgical skills.
- Greenberg CC, Dombrowski J, Dimick JB. Video-based surgical coaching: an emerging approach to performance improvement. JAMA Surg. 2016;151:282-283.
- Dai J, Bordeaux JS, Miller CJ, et al. Assessing surgical training and deliberate practice methods in dermatology residency: a survey of dermatology program directors. Dermatol Surg. 2016;42:977-984.
- Chitgopeker P, Sidey K, Aronson A, et al. Surgical skills video-based assessment tool for dermatology residents: a prospective pilot study. J Am Acad Dermatol. 2020;83:614-616.
- Bull NB, Silverman CD, Bonrath EM. Targeted surgical coaching can improve operative self-assessment ability: a single-blinded nonrandomized trial. Surgery. 2020;167:308-313.
- Eva KW, Regehr G. Self-assessment in the health professions: a reformulation and research agenda. Acad Med. 2005;80(10 suppl):S46-S54.
To the Editor:
Video-based coaching (VBC) involves a surgeon recording a surgery and then reviewing the video with a surgical coach; it is a form of education that is gaining popularity among surgical specialties.1 Video-based education is underutilized in dermatology residency training.2 We conducted a pilot study at our dermatology residency program to evaluate the efficacy and feasibility of VBC.
The University of Texas at Austin Dell Medical School institutional review board approved this study. All 4 first-year dermatology residents were recruited to participate in this study. Participants filled out a prestudy survey assessing their surgical experience, confidence in performing surgery, and attitudes on VBC. Participants used a head-mounted point-of-view camera to record themselves performing a wide local excision on the trunk or extremities of a live human patient. Participants then reviewed the recording on their own and scored themselves using the Objective Structured Assessment of Technical Skills (OSATS) scoring table (scored from 1 to 5, with 5 being the highest possible score for each element), which is a validated tool for assessing surgical skills (eTable 1).3 Given that there were no assistants participating in the surgery, this element of the OSATS scoring table was excluded, making a maximum possible score of 30 and a minimum possible score of 6. After scoring themselves, participants then had a 1-on-1 coaching session with a fellowship-trained dermatologic surgeon (M.F. or T.H.) via online teleconferencing.
During the coaching session, participants and coaches reviewed the video. The surgical coaches also scored the residents using the OSATS, then residents and coaches discussed how the resident could improve using the OSATS scores as a guide. The residents then completed a poststudy survey assessing their surgical experience, confidence in performing surgery, and attitudes on VBC. Descriptive statistics were reported.
On average, residents spent 31.3 minutes reviewing their own surgeries and scoring themselves. The average time for a coaching session, which included time spent scoring, was 13.8 minutes. Residents scored themselves lower than the surgical coaches did by an average of 5.25 points (eTable 2). Residents gave themselves an average total score of 10.5, while their respective surgical coaches gave the residents an average score of 15.75. There was a trend of residents with greater surgical experience having higher OSATS scores (Figure). After the coaching session, 3 of 4 residents reported that they felt more confident in their surgical skills. All residents felt more confident in assessing their surgical skills and felt that VBC was an effective teaching measure. All residents agreed that VBC should be continued as part of their residency training.
Video-based coaching has the potential to provide several benefits for dermatology trainees. Because receiving feedback intraoperatively often can be distracting and incomplete, video review can instead allow the surgeon to focus on performing the surgery and then later focus on learning while reviewing the video.1,4 Feedback also can be more comprehensive and delivered without concern for time constraints or disturbing clinic flow as well as without the additional concern of the patient overhearing comments and feedback.3 Although independent video review in the absence of coaching can lead to improvement in surgical skills, the addition of VBC provides even greater potential educational benefit.4 During the COVID-19 pandemic, VBC allowed coaches to provide feedback without additional exposures. We utilized dermatologic surgery faculty as coaches, but this format of training also would apply to general dermatology faculty.
Another goal of VBC is to enhance a trainee’s ability to perform self-directed learning, which requires accurate self-assessment.4 Accurately assessing one’s own strengths empowers a trainee to act with appropriate confidence, while understanding one’s own weaknesses allows a trainee to effectively balance confidence and caution in daily practice.5 Interestingly, in our study all residents scored themselves lower than surgical coaches, but with 1 coaching session, the residents subsequently reported greater surgical confidence.
Time constraints can be a potential barrier to surgical coaching.4 Our study demonstrates that VBC requires minimal time investment. Increasing the speed of video playback allowed for efficient evaluation of resident surgeries without compromising the coach’s ability to provide comprehensive feedback. Our feedback sessions were performed virtually, which allowed for ease of scheduling between trainees and coaches.
Our pilot study demonstrated that VBC is relatively easy to implement in a dermatology residency training setting, leveraging relatively low-cost technologies and allowing for a means of learning that residents felt was effective. Video-based coaching requires minimal time investment from both trainees and coaches and has the potential to enhance surgical confidence. Our current study is limited by its small sample size. Future studies should include follow-up recordings and assess the efficacy of VBC in enhancing surgical skills.
To the Editor:
Video-based coaching (VBC) involves a surgeon recording a surgery and then reviewing the video with a surgical coach; it is a form of education that is gaining popularity among surgical specialties.1 Video-based education is underutilized in dermatology residency training.2 We conducted a pilot study at our dermatology residency program to evaluate the efficacy and feasibility of VBC.
The University of Texas at Austin Dell Medical School institutional review board approved this study. All 4 first-year dermatology residents were recruited to participate in this study. Participants filled out a prestudy survey assessing their surgical experience, confidence in performing surgery, and attitudes on VBC. Participants used a head-mounted point-of-view camera to record themselves performing a wide local excision on the trunk or extremities of a live human patient. Participants then reviewed the recording on their own and scored themselves using the Objective Structured Assessment of Technical Skills (OSATS) scoring table (scored from 1 to 5, with 5 being the highest possible score for each element), which is a validated tool for assessing surgical skills (eTable 1).3 Given that there were no assistants participating in the surgery, this element of the OSATS scoring table was excluded, making a maximum possible score of 30 and a minimum possible score of 6. After scoring themselves, participants then had a 1-on-1 coaching session with a fellowship-trained dermatologic surgeon (M.F. or T.H.) via online teleconferencing.
During the coaching session, participants and coaches reviewed the video. The surgical coaches also scored the residents using the OSATS, then residents and coaches discussed how the resident could improve using the OSATS scores as a guide. The residents then completed a poststudy survey assessing their surgical experience, confidence in performing surgery, and attitudes on VBC. Descriptive statistics were reported.
On average, residents spent 31.3 minutes reviewing their own surgeries and scoring themselves. The average time for a coaching session, which included time spent scoring, was 13.8 minutes. Residents scored themselves lower than the surgical coaches did by an average of 5.25 points (eTable 2). Residents gave themselves an average total score of 10.5, while their respective surgical coaches gave the residents an average score of 15.75. There was a trend of residents with greater surgical experience having higher OSATS scores (Figure). After the coaching session, 3 of 4 residents reported that they felt more confident in their surgical skills. All residents felt more confident in assessing their surgical skills and felt that VBC was an effective teaching measure. All residents agreed that VBC should be continued as part of their residency training.
Video-based coaching has the potential to provide several benefits for dermatology trainees. Because receiving feedback intraoperatively often can be distracting and incomplete, video review can instead allow the surgeon to focus on performing the surgery and then later focus on learning while reviewing the video.1,4 Feedback also can be more comprehensive and delivered without concern for time constraints or disturbing clinic flow as well as without the additional concern of the patient overhearing comments and feedback.3 Although independent video review in the absence of coaching can lead to improvement in surgical skills, the addition of VBC provides even greater potential educational benefit.4 During the COVID-19 pandemic, VBC allowed coaches to provide feedback without additional exposures. We utilized dermatologic surgery faculty as coaches, but this format of training also would apply to general dermatology faculty.
Another goal of VBC is to enhance a trainee’s ability to perform self-directed learning, which requires accurate self-assessment.4 Accurately assessing one’s own strengths empowers a trainee to act with appropriate confidence, while understanding one’s own weaknesses allows a trainee to effectively balance confidence and caution in daily practice.5 Interestingly, in our study all residents scored themselves lower than surgical coaches, but with 1 coaching session, the residents subsequently reported greater surgical confidence.
Time constraints can be a potential barrier to surgical coaching.4 Our study demonstrates that VBC requires minimal time investment. Increasing the speed of video playback allowed for efficient evaluation of resident surgeries without compromising the coach’s ability to provide comprehensive feedback. Our feedback sessions were performed virtually, which allowed for ease of scheduling between trainees and coaches.
Our pilot study demonstrated that VBC is relatively easy to implement in a dermatology residency training setting, leveraging relatively low-cost technologies and allowing for a means of learning that residents felt was effective. Video-based coaching requires minimal time investment from both trainees and coaches and has the potential to enhance surgical confidence. Our current study is limited by its small sample size. Future studies should include follow-up recordings and assess the efficacy of VBC in enhancing surgical skills.
- Greenberg CC, Dombrowski J, Dimick JB. Video-based surgical coaching: an emerging approach to performance improvement. JAMA Surg. 2016;151:282-283.
- Dai J, Bordeaux JS, Miller CJ, et al. Assessing surgical training and deliberate practice methods in dermatology residency: a survey of dermatology program directors. Dermatol Surg. 2016;42:977-984.
- Chitgopeker P, Sidey K, Aronson A, et al. Surgical skills video-based assessment tool for dermatology residents: a prospective pilot study. J Am Acad Dermatol. 2020;83:614-616.
- Bull NB, Silverman CD, Bonrath EM. Targeted surgical coaching can improve operative self-assessment ability: a single-blinded nonrandomized trial. Surgery. 2020;167:308-313.
- Eva KW, Regehr G. Self-assessment in the health professions: a reformulation and research agenda. Acad Med. 2005;80(10 suppl):S46-S54.
- Greenberg CC, Dombrowski J, Dimick JB. Video-based surgical coaching: an emerging approach to performance improvement. JAMA Surg. 2016;151:282-283.
- Dai J, Bordeaux JS, Miller CJ, et al. Assessing surgical training and deliberate practice methods in dermatology residency: a survey of dermatology program directors. Dermatol Surg. 2016;42:977-984.
- Chitgopeker P, Sidey K, Aronson A, et al. Surgical skills video-based assessment tool for dermatology residents: a prospective pilot study. J Am Acad Dermatol. 2020;83:614-616.
- Bull NB, Silverman CD, Bonrath EM. Targeted surgical coaching can improve operative self-assessment ability: a single-blinded nonrandomized trial. Surgery. 2020;167:308-313.
- Eva KW, Regehr G. Self-assessment in the health professions: a reformulation and research agenda. Acad Med. 2005;80(10 suppl):S46-S54.
PRACTICE POINTS
- Video-based coaching (VBC) for surgical procedures is an up-and-coming form of medical education that allows a “coach” to provide thoughtful and in-depth feedback while reviewing a recording with the surgeon in a private setting. This format has potential utility in teaching dermatology resident surgeons being coached by a dermatology faculty member.
- We performed a pilot study demonstrating that VBC can be performed easily with a minimal time investment for both the surgeon and the coach. Dermatology residents not only felt that VBC was an effective teaching method but also should become a formal part of their education.
Perceived Benefits of a Research Fellowship for Dermatology Residency Applicants: Outcomes of a Faculty-Reported Survey
Dermatology residency positions continue to be highly coveted among applicants in the match. In 2019, dermatology proved to be the most competitive specialty, with 36.3% of US medical school seniors and independent applicants going unmatched.1 Prior to the transition to a pass/fail system, the mean US Medical Licensing Examination (USMLE) Step 1 score for matched applicants increased from 247 in 2014 to 251 in 2019. The growing number of scholarly activities reported by applicants has contributed to the competitiveness of the specialty. In 2018, the mean number of abstracts, presentations, and publications reported by matched applicants was 14.71, which was higher than other competitive specialties, including orthopedic surgery and otolaryngology (11.5 and 10.4, respectively). Dermatology applicants who did not match in 2018 reported a mean of 8.6 abstracts, presentations, and publications, which was on par with successful applicants in many other specialties.1 In 2011, Stratman and Ness2 found that publishing manuscripts and listing research experience were factors strongly associated with matching into dermatology for reapplicants. These trends in reported research have added pressure for applicants to increase their publications.
Given that many students do not choose a career in dermatology until later in medical school, some students choose to take a gap year between their third and fourth years of medical school to pursue a research fellowship (RF) and produce publications, in theory to increase the chances of matching in dermatology. A survey of dermatology applicants conducted by Costello et al3 in 2021 found that, of the students who completed a gap year (n=90; 31.25%), 78.7% (n=71) of them completed an RF, and those who completed RFs were more likely to match at top dermatology residency programs (P<.01). The authors also reported that there was no significant difference in overall match rates between gap-year and non–gap-year applicants.3 Another survey of 328 medical students found that the most common reason students take years off for research during medical school is to increase competitiveness for residency application.4 Although it is clear that students completing an RF often find success in the match, there are limited published data on how those involved in selecting dermatology residents view this additional year. We surveyed faculty members participating in the resident selection process to assess their viewpoints on how RFs factored into an applicant’s odds of matching into dermatology residency and performance as a resident.
Materials and Methods
An institutional review board application was submitted through the Geisinger Health System (Danville, Pennsylvania), and an exemption to complete the survey was granted. The survey consisted of 16 questions via REDCap electronic data capture and was sent to a listserve of dermatology program directors who were asked to distribute the survey to program chairs and faculty members within their department. Survey questions evaluated the participants’ involvement in medical student advising and the residency selection process. Questions relating to the respondents’ opinions were based on a 5-point Likert scale on level of agreement (1=strongly agree; 5=strongly disagree) or importance (1=a great deal; 5=not at all). All responses were collected anonymously. Data points were compiled and analyzed using REDCap. Statistical analysis via χ2 tests were conducted when appropriate.
Results
The survey was sent to 142 individuals and distributed to faculty members within those departments between August 16, 2019, and September 24, 2019. The survey elicited a total of 110 respondents. Demographic information is shown in eTable 1. Of these respondents, 35.5% were program directors, 23.6% were program chairs, 3.6% were both program director and program chair, and 37.3% were core faculty members. Although respondents’ roles were varied, 96.4% indicated that they were involved in both advising medical students and in selecting residents.
None of the respondents indicated that they always recommend that students complete an RF, and only 4.5% indicated that they usually recommend it; 40% of respondents rarely or never recommend an RF, while 55.5% sometimes recommend it. Although there was a variety of responses to how frequently faculty members recommend an RF, almost all respondents (98.2%) agreed that the reason medical students pursued an RF prior to residency application was to increase the competitiveness of their residency application. However, 20% of respondents believed that students in this cohort were seeking to gain a deeper understanding of the specialty, and 27.3% thought that this cohort had genuine interest in research. Interestingly, despite the medical students’ intentions of choosing an RF, most respondents (67.3%) agreed or strongly agreed that the publications produced by fellows make an impact on the dermatologic scientific community.
Although some respondents indicated that completion of an RF positively impacts resident performance with regard to patient care, most indicated that the impact was a little (26.4%) or not at all (50%). Additionally, a minority of respondents (11.8%) believed that RFs positively impact resident performance on in-service and board examinations at least a moderate amount, with 62.7% indicating no positive impact at all. Only 12.7% of participants agreed or strongly agreed that completion of an RF led to increased applicant involvement in research throughout their career, and most (73.6%) believed there were downsides to completing an RF. Finally, only 20% agreed or strongly agreed that students who completed an RF were more dedicated to the field of dermatology (eTable 2).
Further evaluation of the data indicated that the perceived utility of RFs did not affect respondents’ recommendation on whether to pursue an RF or not. For example, of the 4.5% of respondents who indicated that they always or usually recommended RFs, only 1 respondent believed that students who completed an RF were more dedicated to the field of dermatology than those who did not. Although 55.5% of respondents answered that they sometimes recommended completion of an RF, less than a quarter of this group believed that students who completed an RF were more likely to be heavily involved in research throughout their career (P=.99).
Overall, 11.8% of respondents indicated that completion of a dermatology RF influenced the evaluation of an applicant a great deal or a lot, while 53.6% of respondents indicated a little or no influence at all. Most respondents (62.8%) agreed or strongly agreed that completion of an RF can compensate for flaws in a residency application. Furthermore, when asked if completion of an RF could set 2 otherwise equivocal applicants apart from one another, 46.4% of respondents agreed or strongly agreed with the statement, while only 17.3% disagreed or strongly disagreed (eTable 2).
Comment
This study characterized how completion of an RF is viewed by those involved in advising medical students and selecting dermatology residents. The growing pressure for applicants to increase the number of publications combined with the competitiveness of applying for a dermatology residency position has led to increased participation in RFs. However, studies have found that students who completed an RF often did so despite a lack of interest.4 Nonetheless, little is known about how this is perceived by those involved in choosing residents.
We found that few respondents always or usually advised applicants to complete an RF, but the majority sometimes recommended them, demonstrating the complexity of this issue. Completion of an RF impacted 11.8% of respondents’ overall opinion of an applicant a lot or a great deal, while most respondents (53.6%) were influenced a little or not at all. However, 46.4% of respondents indicated that completion of a dermatology RF would set apart 2 applicants of otherwise equal standing, and 62.8% agreed or strongly agreed that completion of an RF would compensate for flaws in an application. These responses align with the findings of a study conducted by Kaffenberger et al,5 who surveyed members of the Association of Professors of Dermatology and found that 74.5% (73/98) of mentors almost always or sometimes recommended a research gap year for reasons that included low grades, low USMLE Step scores, and little research. These data suggest that completion of an RF can give a competitive advantage to applicants despite most advisors acknowledging that these applicants are not likely to be involved in research throughout their careers, perform better on standardized examinations, or provide better patient care.
Given the complexity of this issue, respondents may not have been able to accurately answer the question about how much an RF influenced their overall opinion of an applicant because of subconscious bias. Furthermore, respondents likely tailored their recommendations to complete an RF based on individual applicant strengths and weaknesses, and the specific reasons why one may recommend an RF need to be further investigated.
Although there may be other perceived advantages to RFs that were not captured by our survey, completion of a dermatology RF is not without disadvantages. Fellowships often are unfunded and offered in cities with high costs of living. Additionally, students are forced to delay graduation from medical school by a year at minimum and continue to accrue interest on medical school loans during this time. The financial burdens of completing an RF may exclude students of lower socioeconomic status and contribute to a decrease in diversity within the field. Dermatology has been found to be the second least diverse specialty, behind orthopedics.6 Soliman et al7 found that racial minorities and low-income students were more likely to cite socioeconomic barriers as factors involved in their decision not to pursue a career in dermatology. This notion was supported by Rinderknecht et al,8 who found that Black and Latinx dermatology applicants were more likely to come from disadvantaged backgrounds, and Black applicants were more likely to indicate financial concerns as their primary reason for not pursuing an RF. The impact of accumulated student debt and decreased access should be carefully weighed against the potential benefits of an RF. However, as the USMLE transitions their Step 1 score reporting from numerical to a pass/fail system, it also is possible that dermatology programs will place more emphasis on research productivity when evaluating applications for residency. Overall, the decision to recommend an RF represents an extremely complex topic, as indicated by the results of this study.
Limitations—Our survey-based study is limited by response rate and response bias. Despite the large number of responses, the overall response rate cannot be determined because it is unknown how many total faculty members actually received the survey. Moreover, data collected from current dermatology residents who have completed RFs vs those who have not as they pertain to resident performance and preparedness for the rigors of a dermatology residency would be useful.
- National Resident Matching Program. Results and Data: 2019 Main Residency Match. National Resident Matching Program; 2019. Accessed September 13, 2023. https://www.nrmp.org/wp-content/uploads/2021/07/NRMP-Results-and-Data-2019_04112019_final.pdf
- Stratman EJ, Ness RM. Factors associated with successful matching to dermatology residency programs by reapplicants and other applicants who previously graduated from medical school. Arch Dermatol. 2011;147:196-202.
- Costello CM, Harvey JA, Besch-Stokes JG, et al. The role research gap-years play in a successful dermatology match. J Am Acad Dermatol. 2021;85:AB22.
- Pathipati AS, Taleghani N. Research in medical school: a survey evaluating why medical students take research years. Cureus. 2016;8:E741.
- Kaffenberger J, Lee B, Ahmed AM. How to advise medical students interested in dermatology: a survey of academic dermatology mentors. Cutis. 2023;111:124-127.
- Pandya AG, Alexis AF, Berger TG, et al. Increasing racial and ethnic diversity in dermatology: a call to action. J Am Acad Dermatol. 2016;74:584-587.
- Soliman YS, Rzepecki AK, Guzman AK, et al. Understanding perceived barriers of minority medical students pursuing a career in dermatology. JAMA Dermatol. 2019;155:252-254.
- Rinderknecht FA, Brumfiel CM, Jefferson IS, et al. Differences in underrepresented in medicine applicant backgrounds and outcomes in the 2020-2021 dermatology residency match. Cutis. 2022;110:76-79.
Dermatology residency positions continue to be highly coveted among applicants in the match. In 2019, dermatology proved to be the most competitive specialty, with 36.3% of US medical school seniors and independent applicants going unmatched.1 Prior to the transition to a pass/fail system, the mean US Medical Licensing Examination (USMLE) Step 1 score for matched applicants increased from 247 in 2014 to 251 in 2019. The growing number of scholarly activities reported by applicants has contributed to the competitiveness of the specialty. In 2018, the mean number of abstracts, presentations, and publications reported by matched applicants was 14.71, which was higher than other competitive specialties, including orthopedic surgery and otolaryngology (11.5 and 10.4, respectively). Dermatology applicants who did not match in 2018 reported a mean of 8.6 abstracts, presentations, and publications, which was on par with successful applicants in many other specialties.1 In 2011, Stratman and Ness2 found that publishing manuscripts and listing research experience were factors strongly associated with matching into dermatology for reapplicants. These trends in reported research have added pressure for applicants to increase their publications.
Given that many students do not choose a career in dermatology until later in medical school, some students choose to take a gap year between their third and fourth years of medical school to pursue a research fellowship (RF) and produce publications, in theory to increase the chances of matching in dermatology. A survey of dermatology applicants conducted by Costello et al3 in 2021 found that, of the students who completed a gap year (n=90; 31.25%), 78.7% (n=71) of them completed an RF, and those who completed RFs were more likely to match at top dermatology residency programs (P<.01). The authors also reported that there was no significant difference in overall match rates between gap-year and non–gap-year applicants.3 Another survey of 328 medical students found that the most common reason students take years off for research during medical school is to increase competitiveness for residency application.4 Although it is clear that students completing an RF often find success in the match, there are limited published data on how those involved in selecting dermatology residents view this additional year. We surveyed faculty members participating in the resident selection process to assess their viewpoints on how RFs factored into an applicant’s odds of matching into dermatology residency and performance as a resident.
Materials and Methods
An institutional review board application was submitted through the Geisinger Health System (Danville, Pennsylvania), and an exemption to complete the survey was granted. The survey consisted of 16 questions via REDCap electronic data capture and was sent to a listserve of dermatology program directors who were asked to distribute the survey to program chairs and faculty members within their department. Survey questions evaluated the participants’ involvement in medical student advising and the residency selection process. Questions relating to the respondents’ opinions were based on a 5-point Likert scale on level of agreement (1=strongly agree; 5=strongly disagree) or importance (1=a great deal; 5=not at all). All responses were collected anonymously. Data points were compiled and analyzed using REDCap. Statistical analysis via χ2 tests were conducted when appropriate.
Results
The survey was sent to 142 individuals and distributed to faculty members within those departments between August 16, 2019, and September 24, 2019. The survey elicited a total of 110 respondents. Demographic information is shown in eTable 1. Of these respondents, 35.5% were program directors, 23.6% were program chairs, 3.6% were both program director and program chair, and 37.3% were core faculty members. Although respondents’ roles were varied, 96.4% indicated that they were involved in both advising medical students and in selecting residents.
None of the respondents indicated that they always recommend that students complete an RF, and only 4.5% indicated that they usually recommend it; 40% of respondents rarely or never recommend an RF, while 55.5% sometimes recommend it. Although there was a variety of responses to how frequently faculty members recommend an RF, almost all respondents (98.2%) agreed that the reason medical students pursued an RF prior to residency application was to increase the competitiveness of their residency application. However, 20% of respondents believed that students in this cohort were seeking to gain a deeper understanding of the specialty, and 27.3% thought that this cohort had genuine interest in research. Interestingly, despite the medical students’ intentions of choosing an RF, most respondents (67.3%) agreed or strongly agreed that the publications produced by fellows make an impact on the dermatologic scientific community.
Although some respondents indicated that completion of an RF positively impacts resident performance with regard to patient care, most indicated that the impact was a little (26.4%) or not at all (50%). Additionally, a minority of respondents (11.8%) believed that RFs positively impact resident performance on in-service and board examinations at least a moderate amount, with 62.7% indicating no positive impact at all. Only 12.7% of participants agreed or strongly agreed that completion of an RF led to increased applicant involvement in research throughout their career, and most (73.6%) believed there were downsides to completing an RF. Finally, only 20% agreed or strongly agreed that students who completed an RF were more dedicated to the field of dermatology (eTable 2).
Further evaluation of the data indicated that the perceived utility of RFs did not affect respondents’ recommendation on whether to pursue an RF or not. For example, of the 4.5% of respondents who indicated that they always or usually recommended RFs, only 1 respondent believed that students who completed an RF were more dedicated to the field of dermatology than those who did not. Although 55.5% of respondents answered that they sometimes recommended completion of an RF, less than a quarter of this group believed that students who completed an RF were more likely to be heavily involved in research throughout their career (P=.99).
Overall, 11.8% of respondents indicated that completion of a dermatology RF influenced the evaluation of an applicant a great deal or a lot, while 53.6% of respondents indicated a little or no influence at all. Most respondents (62.8%) agreed or strongly agreed that completion of an RF can compensate for flaws in a residency application. Furthermore, when asked if completion of an RF could set 2 otherwise equivocal applicants apart from one another, 46.4% of respondents agreed or strongly agreed with the statement, while only 17.3% disagreed or strongly disagreed (eTable 2).
Comment
This study characterized how completion of an RF is viewed by those involved in advising medical students and selecting dermatology residents. The growing pressure for applicants to increase the number of publications combined with the competitiveness of applying for a dermatology residency position has led to increased participation in RFs. However, studies have found that students who completed an RF often did so despite a lack of interest.4 Nonetheless, little is known about how this is perceived by those involved in choosing residents.
We found that few respondents always or usually advised applicants to complete an RF, but the majority sometimes recommended them, demonstrating the complexity of this issue. Completion of an RF impacted 11.8% of respondents’ overall opinion of an applicant a lot or a great deal, while most respondents (53.6%) were influenced a little or not at all. However, 46.4% of respondents indicated that completion of a dermatology RF would set apart 2 applicants of otherwise equal standing, and 62.8% agreed or strongly agreed that completion of an RF would compensate for flaws in an application. These responses align with the findings of a study conducted by Kaffenberger et al,5 who surveyed members of the Association of Professors of Dermatology and found that 74.5% (73/98) of mentors almost always or sometimes recommended a research gap year for reasons that included low grades, low USMLE Step scores, and little research. These data suggest that completion of an RF can give a competitive advantage to applicants despite most advisors acknowledging that these applicants are not likely to be involved in research throughout their careers, perform better on standardized examinations, or provide better patient care.
Given the complexity of this issue, respondents may not have been able to accurately answer the question about how much an RF influenced their overall opinion of an applicant because of subconscious bias. Furthermore, respondents likely tailored their recommendations to complete an RF based on individual applicant strengths and weaknesses, and the specific reasons why one may recommend an RF need to be further investigated.
Although there may be other perceived advantages to RFs that were not captured by our survey, completion of a dermatology RF is not without disadvantages. Fellowships often are unfunded and offered in cities with high costs of living. Additionally, students are forced to delay graduation from medical school by a year at minimum and continue to accrue interest on medical school loans during this time. The financial burdens of completing an RF may exclude students of lower socioeconomic status and contribute to a decrease in diversity within the field. Dermatology has been found to be the second least diverse specialty, behind orthopedics.6 Soliman et al7 found that racial minorities and low-income students were more likely to cite socioeconomic barriers as factors involved in their decision not to pursue a career in dermatology. This notion was supported by Rinderknecht et al,8 who found that Black and Latinx dermatology applicants were more likely to come from disadvantaged backgrounds, and Black applicants were more likely to indicate financial concerns as their primary reason for not pursuing an RF. The impact of accumulated student debt and decreased access should be carefully weighed against the potential benefits of an RF. However, as the USMLE transitions their Step 1 score reporting from numerical to a pass/fail system, it also is possible that dermatology programs will place more emphasis on research productivity when evaluating applications for residency. Overall, the decision to recommend an RF represents an extremely complex topic, as indicated by the results of this study.
Limitations—Our survey-based study is limited by response rate and response bias. Despite the large number of responses, the overall response rate cannot be determined because it is unknown how many total faculty members actually received the survey. Moreover, data collected from current dermatology residents who have completed RFs vs those who have not as they pertain to resident performance and preparedness for the rigors of a dermatology residency would be useful.
Dermatology residency positions continue to be highly coveted among applicants in the match. In 2019, dermatology proved to be the most competitive specialty, with 36.3% of US medical school seniors and independent applicants going unmatched.1 Prior to the transition to a pass/fail system, the mean US Medical Licensing Examination (USMLE) Step 1 score for matched applicants increased from 247 in 2014 to 251 in 2019. The growing number of scholarly activities reported by applicants has contributed to the competitiveness of the specialty. In 2018, the mean number of abstracts, presentations, and publications reported by matched applicants was 14.71, which was higher than other competitive specialties, including orthopedic surgery and otolaryngology (11.5 and 10.4, respectively). Dermatology applicants who did not match in 2018 reported a mean of 8.6 abstracts, presentations, and publications, which was on par with successful applicants in many other specialties.1 In 2011, Stratman and Ness2 found that publishing manuscripts and listing research experience were factors strongly associated with matching into dermatology for reapplicants. These trends in reported research have added pressure for applicants to increase their publications.
Given that many students do not choose a career in dermatology until later in medical school, some students choose to take a gap year between their third and fourth years of medical school to pursue a research fellowship (RF) and produce publications, in theory to increase the chances of matching in dermatology. A survey of dermatology applicants conducted by Costello et al3 in 2021 found that, of the students who completed a gap year (n=90; 31.25%), 78.7% (n=71) of them completed an RF, and those who completed RFs were more likely to match at top dermatology residency programs (P<.01). The authors also reported that there was no significant difference in overall match rates between gap-year and non–gap-year applicants.3 Another survey of 328 medical students found that the most common reason students take years off for research during medical school is to increase competitiveness for residency application.4 Although it is clear that students completing an RF often find success in the match, there are limited published data on how those involved in selecting dermatology residents view this additional year. We surveyed faculty members participating in the resident selection process to assess their viewpoints on how RFs factored into an applicant’s odds of matching into dermatology residency and performance as a resident.
Materials and Methods
An institutional review board application was submitted through the Geisinger Health System (Danville, Pennsylvania), and an exemption to complete the survey was granted. The survey consisted of 16 questions via REDCap electronic data capture and was sent to a listserve of dermatology program directors who were asked to distribute the survey to program chairs and faculty members within their department. Survey questions evaluated the participants’ involvement in medical student advising and the residency selection process. Questions relating to the respondents’ opinions were based on a 5-point Likert scale on level of agreement (1=strongly agree; 5=strongly disagree) or importance (1=a great deal; 5=not at all). All responses were collected anonymously. Data points were compiled and analyzed using REDCap. Statistical analysis via χ2 tests were conducted when appropriate.
Results
The survey was sent to 142 individuals and distributed to faculty members within those departments between August 16, 2019, and September 24, 2019. The survey elicited a total of 110 respondents. Demographic information is shown in eTable 1. Of these respondents, 35.5% were program directors, 23.6% were program chairs, 3.6% were both program director and program chair, and 37.3% were core faculty members. Although respondents’ roles were varied, 96.4% indicated that they were involved in both advising medical students and in selecting residents.
None of the respondents indicated that they always recommend that students complete an RF, and only 4.5% indicated that they usually recommend it; 40% of respondents rarely or never recommend an RF, while 55.5% sometimes recommend it. Although there was a variety of responses to how frequently faculty members recommend an RF, almost all respondents (98.2%) agreed that the reason medical students pursued an RF prior to residency application was to increase the competitiveness of their residency application. However, 20% of respondents believed that students in this cohort were seeking to gain a deeper understanding of the specialty, and 27.3% thought that this cohort had genuine interest in research. Interestingly, despite the medical students’ intentions of choosing an RF, most respondents (67.3%) agreed or strongly agreed that the publications produced by fellows make an impact on the dermatologic scientific community.
Although some respondents indicated that completion of an RF positively impacts resident performance with regard to patient care, most indicated that the impact was a little (26.4%) or not at all (50%). Additionally, a minority of respondents (11.8%) believed that RFs positively impact resident performance on in-service and board examinations at least a moderate amount, with 62.7% indicating no positive impact at all. Only 12.7% of participants agreed or strongly agreed that completion of an RF led to increased applicant involvement in research throughout their career, and most (73.6%) believed there were downsides to completing an RF. Finally, only 20% agreed or strongly agreed that students who completed an RF were more dedicated to the field of dermatology (eTable 2).
Further evaluation of the data indicated that the perceived utility of RFs did not affect respondents’ recommendation on whether to pursue an RF or not. For example, of the 4.5% of respondents who indicated that they always or usually recommended RFs, only 1 respondent believed that students who completed an RF were more dedicated to the field of dermatology than those who did not. Although 55.5% of respondents answered that they sometimes recommended completion of an RF, less than a quarter of this group believed that students who completed an RF were more likely to be heavily involved in research throughout their career (P=.99).
Overall, 11.8% of respondents indicated that completion of a dermatology RF influenced the evaluation of an applicant a great deal or a lot, while 53.6% of respondents indicated a little or no influence at all. Most respondents (62.8%) agreed or strongly agreed that completion of an RF can compensate for flaws in a residency application. Furthermore, when asked if completion of an RF could set 2 otherwise equivocal applicants apart from one another, 46.4% of respondents agreed or strongly agreed with the statement, while only 17.3% disagreed or strongly disagreed (eTable 2).
Comment
This study characterized how completion of an RF is viewed by those involved in advising medical students and selecting dermatology residents. The growing pressure for applicants to increase the number of publications combined with the competitiveness of applying for a dermatology residency position has led to increased participation in RFs. However, studies have found that students who completed an RF often did so despite a lack of interest.4 Nonetheless, little is known about how this is perceived by those involved in choosing residents.
We found that few respondents always or usually advised applicants to complete an RF, but the majority sometimes recommended them, demonstrating the complexity of this issue. Completion of an RF impacted 11.8% of respondents’ overall opinion of an applicant a lot or a great deal, while most respondents (53.6%) were influenced a little or not at all. However, 46.4% of respondents indicated that completion of a dermatology RF would set apart 2 applicants of otherwise equal standing, and 62.8% agreed or strongly agreed that completion of an RF would compensate for flaws in an application. These responses align with the findings of a study conducted by Kaffenberger et al,5 who surveyed members of the Association of Professors of Dermatology and found that 74.5% (73/98) of mentors almost always or sometimes recommended a research gap year for reasons that included low grades, low USMLE Step scores, and little research. These data suggest that completion of an RF can give a competitive advantage to applicants despite most advisors acknowledging that these applicants are not likely to be involved in research throughout their careers, perform better on standardized examinations, or provide better patient care.
Given the complexity of this issue, respondents may not have been able to accurately answer the question about how much an RF influenced their overall opinion of an applicant because of subconscious bias. Furthermore, respondents likely tailored their recommendations to complete an RF based on individual applicant strengths and weaknesses, and the specific reasons why one may recommend an RF need to be further investigated.
Although there may be other perceived advantages to RFs that were not captured by our survey, completion of a dermatology RF is not without disadvantages. Fellowships often are unfunded and offered in cities with high costs of living. Additionally, students are forced to delay graduation from medical school by a year at minimum and continue to accrue interest on medical school loans during this time. The financial burdens of completing an RF may exclude students of lower socioeconomic status and contribute to a decrease in diversity within the field. Dermatology has been found to be the second least diverse specialty, behind orthopedics.6 Soliman et al7 found that racial minorities and low-income students were more likely to cite socioeconomic barriers as factors involved in their decision not to pursue a career in dermatology. This notion was supported by Rinderknecht et al,8 who found that Black and Latinx dermatology applicants were more likely to come from disadvantaged backgrounds, and Black applicants were more likely to indicate financial concerns as their primary reason for not pursuing an RF. The impact of accumulated student debt and decreased access should be carefully weighed against the potential benefits of an RF. However, as the USMLE transitions their Step 1 score reporting from numerical to a pass/fail system, it also is possible that dermatology programs will place more emphasis on research productivity when evaluating applications for residency. Overall, the decision to recommend an RF represents an extremely complex topic, as indicated by the results of this study.
Limitations—Our survey-based study is limited by response rate and response bias. Despite the large number of responses, the overall response rate cannot be determined because it is unknown how many total faculty members actually received the survey. Moreover, data collected from current dermatology residents who have completed RFs vs those who have not as they pertain to resident performance and preparedness for the rigors of a dermatology residency would be useful.
- National Resident Matching Program. Results and Data: 2019 Main Residency Match. National Resident Matching Program; 2019. Accessed September 13, 2023. https://www.nrmp.org/wp-content/uploads/2021/07/NRMP-Results-and-Data-2019_04112019_final.pdf
- Stratman EJ, Ness RM. Factors associated with successful matching to dermatology residency programs by reapplicants and other applicants who previously graduated from medical school. Arch Dermatol. 2011;147:196-202.
- Costello CM, Harvey JA, Besch-Stokes JG, et al. The role research gap-years play in a successful dermatology match. J Am Acad Dermatol. 2021;85:AB22.
- Pathipati AS, Taleghani N. Research in medical school: a survey evaluating why medical students take research years. Cureus. 2016;8:E741.
- Kaffenberger J, Lee B, Ahmed AM. How to advise medical students interested in dermatology: a survey of academic dermatology mentors. Cutis. 2023;111:124-127.
- Pandya AG, Alexis AF, Berger TG, et al. Increasing racial and ethnic diversity in dermatology: a call to action. J Am Acad Dermatol. 2016;74:584-587.
- Soliman YS, Rzepecki AK, Guzman AK, et al. Understanding perceived barriers of minority medical students pursuing a career in dermatology. JAMA Dermatol. 2019;155:252-254.
- Rinderknecht FA, Brumfiel CM, Jefferson IS, et al. Differences in underrepresented in medicine applicant backgrounds and outcomes in the 2020-2021 dermatology residency match. Cutis. 2022;110:76-79.
- National Resident Matching Program. Results and Data: 2019 Main Residency Match. National Resident Matching Program; 2019. Accessed September 13, 2023. https://www.nrmp.org/wp-content/uploads/2021/07/NRMP-Results-and-Data-2019_04112019_final.pdf
- Stratman EJ, Ness RM. Factors associated with successful matching to dermatology residency programs by reapplicants and other applicants who previously graduated from medical school. Arch Dermatol. 2011;147:196-202.
- Costello CM, Harvey JA, Besch-Stokes JG, et al. The role research gap-years play in a successful dermatology match. J Am Acad Dermatol. 2021;85:AB22.
- Pathipati AS, Taleghani N. Research in medical school: a survey evaluating why medical students take research years. Cureus. 2016;8:E741.
- Kaffenberger J, Lee B, Ahmed AM. How to advise medical students interested in dermatology: a survey of academic dermatology mentors. Cutis. 2023;111:124-127.
- Pandya AG, Alexis AF, Berger TG, et al. Increasing racial and ethnic diversity in dermatology: a call to action. J Am Acad Dermatol. 2016;74:584-587.
- Soliman YS, Rzepecki AK, Guzman AK, et al. Understanding perceived barriers of minority medical students pursuing a career in dermatology. JAMA Dermatol. 2019;155:252-254.
- Rinderknecht FA, Brumfiel CM, Jefferson IS, et al. Differences in underrepresented in medicine applicant backgrounds and outcomes in the 2020-2021 dermatology residency match. Cutis. 2022;110:76-79.
PRACTICE POINTS
- Many medical students seeking to match into a dermatology residency program complete a research fellowship (RF).
- Completion of an RF can give a competitive advantage to applicants even though most advisors acknowledge that these applicants are not likely to be involved in research throughout their career, perform better on standardized examinations, or provide better patient care.
- The decision to recommend an RF represents an extremely complex topic and should be tailored to each individual applicant.
Assessment of the Efficacy of Tranexamic Acid Solution 5% in the Treatment of Melasma in Patients of South Asian Descent
Melasma is a complex, long-lasting, acquired dermatologic pigmentation disorder resulting in grey-brown patches that last for more than 3 months. Sun-exposed areas including the nose, cheeks, forehead, and forearms are most likely to be affected.1 In Southeast Asia, 0.25% to 4% of the population affected by melasma is aged 30 to 40 years.2 In particular, melasma is a concern among pregnant women due to increased levels of melanocyte-stimulating hormones (MSHs) and is impacted by genetics, hormonal influence, and exposure to UV light.3,4 In Pakistan, approximately 46% of women are affected by melasma during pregnancy.2,5 Although few studies have focused on the clinical approaches to melasma in darker skin types, it continues to disproportionately affect the skin of color population.4
The areas of hyperpigmentation seen in melasma exhibit increased deposition of melanin in the epidermis and dermis, but melanocytes are not elevated. However, in areas of hyperpigmentation, the melanocytes are larger and more dendritic and demonstrate an increased level of melanogenesis.6 During pregnancy, especially in the third trimester, elevated levels of estrogen, progesterone, and MSH often are found in association with melasma.7 Tyrosinase (TYR) activity increases and cellular proliferation is reduced after treatment of melanocytes in culture with β-estradiol.8 Sex steroids increase transcription of genes encoding melanogenic enzymes in normal human melanocytes, especially TYR.9 These results are consistent with the notable increases in melanin synthesis and TYR activity reported for normal human melanocytes under similar conditions in culture.10 Because melanocytes contain both cytosolic and nuclear estrogen receptors, melanocytes in patients with melasma may be inherently more sensitive to the stimulatory effects of estrogens and possibly other steroid hormones.11
The current treatment options for melasma have varying levels of success and include topical depigmenting agents such as hydroquinone, tretinoin, azelaic acid, kojic acid, and corticosteroids; dermabrasion; and chemical peels.12-14 Chemical peels with glycolic acid, salicylic acid, lactic acid, trichloroacetic acid, and phenol, as well as laser therapy, are reliable management options.13,14 Traditionally, melasma has been treated with a combination of modalities along with photoprotection and trigger avoidance.12
The efficacy and safety of the available therapies for melasma are still controversial and require further exploration. In recent years, off-label tranexamic acid (TA) has emerged as a potential therapy for melasma. Although the mechanism of action remains unclear, TA may inhibit melanin synthesis by blocking the interaction between melanocytes and keratinocytes.15 Tranexamic acid also may reverse the abnormal dermal changes associated with melasma by inhibiting melanogenesis and angiogenesis.16
Although various therapeutic options exist for melasma, the search for a reliable option in patients with darker skin types continues.13 We sought to evaluate the efficacy of TA solution 5% in reducing the severity of melasma in South Asian patients, thereby improving patient outcomes and maximizing patient satisfaction. Topical TA is inexpensive and readily accessible and does not cause systemic side effects. These qualities make it a promising treatment compared to traditional therapies.
Methods
We conducted a randomized controlled trial at Rawalpindi Medical Institute (Punjab, Pakistan). The researchers obtained informed consent for all enrolled patients. Cases were sampled from the original patient population seen at the office using nonprobability consecutive sampling. The sample size was calculated with a 95% CI, margin of error of 9%, and expected percentage of efficacy of 86.1% by using TA solution 5%. South Asian male and female patients aged 20 to 45 years with melasma were included in the analysis. Patients were excluded if they were already taking TA, oral contraceptive pills, or photosensitizing drugs (eg, nonsteroidal anti-inflammatory drugs, tetracyclines, phenytoin, carbamazepine); were pregnant; had chronic kidney disease (creatinine >2.0 mg/dL); had cardiac abnormalities (abnormal electrocardiogram); had hematologic disorders (international normalized ratio >2); or had received another melasma treatment within the last 3 to 6 months.
All enrolled patients underwent a detailed history and physical examination. Patient demographics were subsequently noted, including age, sex, history of diabetes mellitus or hypertension, and duration of melasma. The melasma area and severity index (MASI) score of each patient was calculated at baseline, and a corresponding photograph was taken.
The topical solution was prepared with 5 g of TA dissolved in 10 cc of ethanol at 96 °F, 10 cc of 1,3-butanediol, and distilled water up to 100 cc. The TA solution was applied to the affected areas once daily by the patient for 12 weeks. Each application covered the affected areas completely. Patients were instructed to apply sunscreen with sun protection factor 60 to those same areas for UV protection after 15 minutes of TA application. Biweekly follow-ups were scheduled during the trial, and the MASI score was recorded at these visits. If the mean MASI score was reduced by half after 12 weeks of treatment, then the treatment was considered efficacious with a 95% CI.
The percentage reduction from baseline was calculated as follows: percentage reduction=(baseline score– follow-up score)/baseline score×100.
Statistical Analysis—Data were analyzed in SPSS Statistics 25 (IBM). The quantitative variables of age, duration of melasma, and body mass index were presented as mean (SD). Qualitative variables such as sex, history of diabetes mellitus or hypertension, site of melasma, and efficacy were presented as frequencies and percentages. Mean MASI scores at baseline and 12 weeks posttreatment were compared using a paired t test (P≤.05). Data were stratified for age, sex, history of diabetes mellitus or hypertension, site of melasma, and duration of melasma, and a χ2 test was applied to compare efficacy in stratified groups (P≤.05).
Results
Sixty patients were enrolled in the study. Of them, 17 (28.33%) were male, and 43 (71.67%) were female (2:5 ratio). They ranged in age from 20 to 45 years (mean [SD], 31.93 [6.26] years). Thirty-seven patients (61.67%) were aged 31 to 45 years of age (Table 1). The mean (SD) duration of disease was 10.18 (2.10) months. The response to TA was recorded based on patient distribution according to the site of melasma as well as history of diabetes mellitus and hypertension.
Topical TA was found to be efficacious for melasma in 50 (83.33%) patients. The mean (SD) baseline and week 12 MASI scores were 23.15 (5.02) and 12.71 (4.10)(P<.0001), respectively (Table 2). The stratification of efficacy with respect to age, sex, duration of melasma, site of melasma, and history of diabetes mellitus or hypertension is shown in the eTable. The site of melasma was significant with respect to stratification of efficacy. On the forehead, TA was found to be efficacious in 11 patients and nonefficacious in 0 patients (P=.036). In the malar region, it was efficacious in 16 patients and nonefficacious in 1 patient (P=.036). Finally, on the chin, it was efficacious in 23 patients and nonefficacious in 9 patients (P=.036).
Comment
Melasma Presentation and Development—Melasma is a chronic skin condition that more often affects patients with darker skin types. This condition is characterized by hyperpigmentation of skin that is directly exposed to the sun, such as the cheek, nose, forehead, and above the upper lip.17 Although the mechanism behind how melasma develops is unknown, one theory suggests that UV light can lead to increased plasmin in keratinocytes.18 This increased plasmin will thereby increase the arachidonic acid and α-MSH, leading to the observed uneven hyperpigmentation that is notable in melasma. Melasma is common in patients using oral contraceptives or expired cosmetic drugs; in those who are pregnant; and in those with liver dysfunction.18 Melasma has a negative impact on patients’ quality of life because of substantial psychological and social distress. Thus, finding an accessible treatment is imperative.19
Melasma Management—The most common treatments for melasma have been topical bleaching agents and photoprotection. Combination therapy options include chemical peels, dermabrasion, and laser treatments, though they present with limited efficacy.17,20 Because melasma focuses on pigmentation correction, topical treatments work to disturb melanocyte pigment production at the enzymatic level.21 Tyrosinase is rate limiting in melanin production, as it converts L-tyrosinase to L-3,4-dihydroxyphenylalanine, using copper to interact with L-3,4-dihydroxyphenylalanine as a cofactor in the active site.22 Therefore, tyrosine is a major target for many drugs that have been developed for melasma to decrease melaninization.21
Recently, research has focused on the effects of topical, intradermal, and oral TA for melasma.17 Tranexamic acid most commonly has been used in medicine as a fibrinolytic agent because of its antiplasmin properties. It has been hypothesized that TA can inhibit the release of paracrine melanogenic factors that normally act to stimulate melanocytes.17 Although studies have supported the safety and efficacy of TA, there remains a lack of clinical studies that are sufficiently powered. No definitive consensus on the use of TA for melasma currently exists, which indicates the need for large-scale, randomized, controlled trials.23
One trial (N=25) found that TA solution 5% achieved efficacy (>50% reduction in MASI score from baseline) in 86.1% of patients with melasma.24 In another study (N=18), topical TA 5% achieved efficacy (>50% reduction in MASI score) in 86% of patients with melasma.25
Melasma Comorbidities—To determine if certain comorbidities, such as diabetes mellitus or hypertension, influenced the progression of melasma, we stratified the efficacy results for patients with these 2 comorbidities, which showed no significant difference (P=.794 and P=.101, respectively). Thus, the relatively higher prevalence of diabetes mellitus (16 patients) and hypertension (11 patients) did not contribute to the efficacy of TA in lowering MASI scores over the 12-week period, which supports the findings of Doolan and Gupta,26 who investigated the endocrinologic conditions associated with melasma and found no such association with diabetes mellitus or hypertension.
TA Formulations for Melasma—The efficacy of topical TA has been explored in several studies. Six studies with sample sizes of 13 to 50 patients each showed statistically significant differences in MASI scores between baseline and following TA treatment (P<.001).27-32 Several formulations and regimens were utilized, including TA cream 3% for 12 weeks, TA gel 5% for 12 weeks, TA solution 3% for 12 weeks, TA liposome 5% for 12 weeks, and TA solution 2% for 12 weeks.18 Additionally, these studies found TA to be effective in limiting dyschromia and decreasing MASI scores. There were no statistically significant differences between formulations and method of application. Topical TA has been found to be just as effective as other treatments for melasma, including intradermal TA injections, topical hydroquinone, and a combination of topical hydroquinone and dexamethasone.18
Further study of the efficacy of intradermal TA is necessary because many human trials have lacked statistical significance or a control group. Lee et al32 conducted a trial of 100 female patients who received weekly intradermal TA microinjections for 12 weeks. After 8 and 12 weeks, MASI scores decreased significantly (P<.01).32 Similarly, Badran et al33 observed 60 female patients in 3 trial groups: group A received TA (4 mg/mL) intradermal injections every 2 weeks, group B received TA (10 mg/mL) intradermal injections every 2 weeks, and group C received TA cream 10% twice daily. Although all groups showed improvement in MASI, group B, which had the highest intradermal TA concentration, exhibited the most improvement. Thus, it was determined that intradermal application led to better results, but the cream was still effective.33
Saki et al34 conducted a randomized, split-face trial of 37 patients comparing the efficacy of intradermal TA and topical hydroquinone. Each group was treated with either monthly intradermal TA injections or nightly hydroquinone for 3 months. After 4 weeks of treatment, TA initially had a greater improvement. However, after 20 weeks, the overall changes were not significant between the 2 groups.34 Pazyar et al35 conducted a randomized, split-face trial of 49 patients comparing the efficacy of intradermal TA and hydroquinone cream. After 24 weeks of biweekly TA injections or twice-daily hydroquinone, there were no statistically significant differences in the decreased MASI scores between treatments.35 Additional large, double-blind, controlled trials are needed to thoroughly assess the role of intradermal TA in comparison to its treatment counterpart of hydroquinone.
Ebrahimi and Naeini29 conducted a 12-week, double-blind, split-phase trial of 50 Iranian melasma patients, which showed that 27.3% of patients rated the improvement in melasma as excellent, 42.4% as good, and 30.3% as fair after using TA solution 3%. Wu et al36 also showed a total melasma improvement rate of 80.9% in 256 patients with long-term oral use of TA. In a study by Kim et al31 (N=245), the mean MASI score considerably decreased after topical TA use, with a total response rate of 95.6%. In another study, Atefi et al37 presented significantly increased levels of satisfaction in patients treated with topical TA 5% vs hydroquinone (P=.015).
Melasma in Patients With Darker Skin Types—Special attention must be given to choosing the appropriate medication in melasma patients with darker skin types, as there is an increased risk for postinflammatory hyperpigmentation. Currently, few randomized controlled trials exist that fulfill the criteria of evaluating pharmacologic options for patients with melasma, and even fewer studies solely focus on patients with darker skin types.38 In addition to treatment advances, patients must be educated on the need to avoid sun exposure when possible or to use photoprotection, especially in the South Asian region, where these practices rarely are taught. Our study provided a unique analysis regarding the efficacy of TA solution 5% for the treatment of melasma in patients of South Asian descent. Clinicians can use these findings as a foundation for treating all patients with melasma but particularly those with darker skin types.
Study Limitations—Our study consisted of 60 patients; although our study had more patients than similar trials, larger studies are needed. Additionally, other variables were excluded from our analysis, such as comorbidities beyond diabetes mellitus and hypertension.
Conclusion
This study contributes to the growing field of melasma therapeutics by evaluating the efficacy of using TA solution 5% for the treatment of melasma in South Asian patients with darker skin types. Clinicians may use our study to broaden their treatment options for a common condition while also addressing the lack of clinical options for patients with darker skin types. Further studies investigating the effectiveness of TA in large clinical trials in humans are warranted to understand the efficacy and the risk for any complications.
- Espósito ACC, Brianezi G, De Souza NP, et al. Exploratory study of epidermis, basement membrane zone, upper dermis alterations and Wnt pathway activation in melasma compared to adjacent and retroauricular skin. Ann Dermatol. 2020;32:101-108.
- Janney MS, Subramaniyan R, Dabas R, et al. A randomized controlled study comparing the efficacy of topical 5% tranexamic acid solution versus 3% hydroquinone cream in melasma. J Cutan Aesthet Surg. 2019;12:63-67.
- Chalermchai T, Rummaneethorn P. Effects of a fractional picosecond 1,064 nm laser for the treatment of dermal and mixed type melasmaJ Cosmet Laser Ther. 2018;20:134-139.
- Grimes PE, Ijaz S, Nashawati R, et al. New oral and topical approaches for the treatment of melasma. Int J Womens Dermatol. 2019;5:30-36.
- Handel AC, Miot LDB, Miot HA. Melasma: a clinical and epidemiological review. An Bras Dermatol. 2014;89:771-782.
- Barankin B, Silver SG, Carruthers A. The skin in pregnancy. J Cutan Med Surg. 2002;6:236-240.
- Grimes PE, Yamada N, Bhawan J. Light microscopic, immunohistochemical, and ultrastructural alterations in patients with melasma. Am J Dermatopathol. 2005;27:96-101.
- Smith AG, Shuster S, Thody AJ, et al. Chloasma, oral contraceptives, and plasma immunoreactive beta-melanocyte-stimulating hormone. J Invest Dermatol. 1977;68:169-170.
- Ranson M, Posen S, Mason RS. Human melanocytes as a target tissue for hormones: in vitro studies with 1 alpha-25, dihydroxyvitamin D3, alpha-melanocyte stimulating hormone, and beta-estradiol. J Invest Dermatol. 1988;91:593-598.
- Kippenberger S, Loitsch S, Solano F, et al. Quantification of tyrosinase, TRP-1, and Trp-2 transcripts in human melanocytes by reverse transcriptase-competitive multiplex PCR—regulation by steroid hormones. J Invest Dermatol. 1998;110:364-367.
- McLeod SD, Ranson M, Mason RS. Effects of estrogens on human melanocytes in vitro. J Steroid Biochem Mol Biol. 1994;49:9-14.
- Chalermchai T, Rummaneethorn P. Effects of a fractional picosecond 1,064 nm laser for the treatment of dermal and mixed type melasma. J Cosmet Laser Ther. 2018;20:134-139.
- Sheu SL. Treatment of melasma using tranexamic acid: what’s known and what’s next. Cutis. 2018;101:E7-E8.
- Tian B. The Asian problem of frequent laser toning for melasma. J Clin Aesthet Dermatol. 2017;10:40-42.
- Zhang L, Tan WQ, Fang QQ, et al. Tranexamic acid for adults with melasma: a systematic review and meta-analysis. Biomed Res Int. 2018;2018:1683414.
- Zhu JW, Ni YJ, Tong XY, et al. Tranexamic acid inhibits angiogenesis and melanogenesis in vitro by targeting VEGF receptors. Int J Med Sci. 2020;17:903-911.
- Colferai MMT, Miquelin GM, Steiner D. Evaluation of oral tranexamic acid in the treatment of melasma. J Cosmet Dermatol. 2019;18:1495-1501.
- Taraz M, Niknam S, Ehsani AH. Tranexamic acid in treatment of melasma: a comprehensive review of clinical studies. Dermatol Ther. 2017;30:19-26.
- Yalamanchili R, Shastry V, Betkerur J. Clinico-epidemiological study and quality of life assessment in melasma. Indian J Dermatol. 2015;60:519.
- Kim HJ, Moon SH, Cho SH, et al. Efficacy and safety of tranexamic acid in melasma: a meta-analysis and systematic review. Acta Derm Venereol. 2017;97:776-781.
- Kim YJ, Kim MJ, Kweon DK, et al. Quantification of hypopigmentation activity in vitro. J Vis Exp. 2019;145:20-25.
- Cardoso R, Valente R, Souza da Costa CH, et al. Analysis of kojic acid derivatives as competitive inhibitors of tyrosinase: a molecular modeling approach. Molecules. 2021;26:2875.
- Bala HR, Lee S, Wong C, et al. Oral tranexamic acid for the treatment of melasma: a review. Dermatol Surg. 2018;44:814-825.
- Khuraiya S, Kachhawa D, Chouhan B, et al. A comparative study of topical 5% tranexamic acid and triple combination therapy for the treatment of melasma in Indian population. Pigment International. 2019;6:18-23.
- Steiner D, Feola C, Bialeski N, et al. Study evaluating the efficacy of topical and injected tranexamic acid in treatment of melasma. Surg Cosmet Dermatol. 2009;1:174-177.
- Doolan B, Gupta M. Melasma. Aust J Gen Pract. 2021;50:880-885.
- Banihashemi M, Zabolinejad N, Jaafari MR, et al. Comparison of therapeutic effects of liposomal tranexamic acid and conventional hydroquinone on melasma. J Cosmet Dermatol. 2015;14:174-177.
- Chung JY, Lee JH, Lee JH. Topical tranexamic acid as an adjuvant treatment in melasma: side-by-side comparison clinical study. J Dermatolog Treat. 2016;27:373-377.
- Ebrahimi B, Naeini FF. Topical tranexamic acid as a promising treatment for melasma. J Res Med Sci. 2014;19:753-757.
- Kanechorn Na Ayuthaya P, Niumphradit N, Manosroi A, et al. Topical 5% tranexamic acid for the treatment of melasma in Asians: a double-blind randomized controlled clinical trial. J Cosmet Laser Ther. 2012;14:150-154.
- Kim SJ, Park JY, Shibata T, et al. Efficacy and possible mechanisms of topical tranexamic acid in melasma. Clin Exp Dermatol. 2016;41:480-485.
- Lee JH, Park JG, Lim SH, et al. Localized intradermal microinjection of tranexamic acid for treatment of melasma in Asian patients: a preliminary clinical trial. Dermatol Surg. 2006;32:626-631.
- Badran AY, Ali AU, Gomaa AS. Efficacy of topical versus intradermal injection of tranexamic acid in Egyptian melasma patients: a randomised clinical trial. Australas J Dermatol. 2021;62:E373-E379.
- Saki N, Darayesh M, Heiran A. Comparing the efficacy of topical hydroquinone 2% versus intradermal tranexamic acid microinjections in treating melasma: a split-face controlled trial. J Dermatolog Treat. 2018;29:405-410.
- Pazyar N, Yaghoobi R, Zeynalie M, et al. Comparison of the efficacy of intradermal injected tranexamic acid vs hydroquinone cream in the treatment of melasma. Clin Cosmet Investig Dermatol. 2019;12:115-122.
- Wu S, Shi H, Wu H, et al. Treatment of melasma with oral administration of tranexamic acid. Aesthetic Plast Surg. 2012;36:964-970.
- Atefi N, Dalvand B, Ghassemi M, et al. Therapeutic effects of topical tranexamic acid in comparison with hydroquinone in treatment of women with melasma. Dermatol Ther (Heidelb). 2017;7:417-424.
- Cestari T, Arellano I, Hexsel D, et al. Melasma in Latin America: options for therapy and treatment algorithm. J Eur Acad Dermatol Venereol. 2009;23:760-772.
Melasma is a complex, long-lasting, acquired dermatologic pigmentation disorder resulting in grey-brown patches that last for more than 3 months. Sun-exposed areas including the nose, cheeks, forehead, and forearms are most likely to be affected.1 In Southeast Asia, 0.25% to 4% of the population affected by melasma is aged 30 to 40 years.2 In particular, melasma is a concern among pregnant women due to increased levels of melanocyte-stimulating hormones (MSHs) and is impacted by genetics, hormonal influence, and exposure to UV light.3,4 In Pakistan, approximately 46% of women are affected by melasma during pregnancy.2,5 Although few studies have focused on the clinical approaches to melasma in darker skin types, it continues to disproportionately affect the skin of color population.4
The areas of hyperpigmentation seen in melasma exhibit increased deposition of melanin in the epidermis and dermis, but melanocytes are not elevated. However, in areas of hyperpigmentation, the melanocytes are larger and more dendritic and demonstrate an increased level of melanogenesis.6 During pregnancy, especially in the third trimester, elevated levels of estrogen, progesterone, and MSH often are found in association with melasma.7 Tyrosinase (TYR) activity increases and cellular proliferation is reduced after treatment of melanocytes in culture with β-estradiol.8 Sex steroids increase transcription of genes encoding melanogenic enzymes in normal human melanocytes, especially TYR.9 These results are consistent with the notable increases in melanin synthesis and TYR activity reported for normal human melanocytes under similar conditions in culture.10 Because melanocytes contain both cytosolic and nuclear estrogen receptors, melanocytes in patients with melasma may be inherently more sensitive to the stimulatory effects of estrogens and possibly other steroid hormones.11
The current treatment options for melasma have varying levels of success and include topical depigmenting agents such as hydroquinone, tretinoin, azelaic acid, kojic acid, and corticosteroids; dermabrasion; and chemical peels.12-14 Chemical peels with glycolic acid, salicylic acid, lactic acid, trichloroacetic acid, and phenol, as well as laser therapy, are reliable management options.13,14 Traditionally, melasma has been treated with a combination of modalities along with photoprotection and trigger avoidance.12
The efficacy and safety of the available therapies for melasma are still controversial and require further exploration. In recent years, off-label tranexamic acid (TA) has emerged as a potential therapy for melasma. Although the mechanism of action remains unclear, TA may inhibit melanin synthesis by blocking the interaction between melanocytes and keratinocytes.15 Tranexamic acid also may reverse the abnormal dermal changes associated with melasma by inhibiting melanogenesis and angiogenesis.16
Although various therapeutic options exist for melasma, the search for a reliable option in patients with darker skin types continues.13 We sought to evaluate the efficacy of TA solution 5% in reducing the severity of melasma in South Asian patients, thereby improving patient outcomes and maximizing patient satisfaction. Topical TA is inexpensive and readily accessible and does not cause systemic side effects. These qualities make it a promising treatment compared to traditional therapies.
Methods
We conducted a randomized controlled trial at Rawalpindi Medical Institute (Punjab, Pakistan). The researchers obtained informed consent for all enrolled patients. Cases were sampled from the original patient population seen at the office using nonprobability consecutive sampling. The sample size was calculated with a 95% CI, margin of error of 9%, and expected percentage of efficacy of 86.1% by using TA solution 5%. South Asian male and female patients aged 20 to 45 years with melasma were included in the analysis. Patients were excluded if they were already taking TA, oral contraceptive pills, or photosensitizing drugs (eg, nonsteroidal anti-inflammatory drugs, tetracyclines, phenytoin, carbamazepine); were pregnant; had chronic kidney disease (creatinine >2.0 mg/dL); had cardiac abnormalities (abnormal electrocardiogram); had hematologic disorders (international normalized ratio >2); or had received another melasma treatment within the last 3 to 6 months.
All enrolled patients underwent a detailed history and physical examination. Patient demographics were subsequently noted, including age, sex, history of diabetes mellitus or hypertension, and duration of melasma. The melasma area and severity index (MASI) score of each patient was calculated at baseline, and a corresponding photograph was taken.
The topical solution was prepared with 5 g of TA dissolved in 10 cc of ethanol at 96 °F, 10 cc of 1,3-butanediol, and distilled water up to 100 cc. The TA solution was applied to the affected areas once daily by the patient for 12 weeks. Each application covered the affected areas completely. Patients were instructed to apply sunscreen with sun protection factor 60 to those same areas for UV protection after 15 minutes of TA application. Biweekly follow-ups were scheduled during the trial, and the MASI score was recorded at these visits. If the mean MASI score was reduced by half after 12 weeks of treatment, then the treatment was considered efficacious with a 95% CI.
The percentage reduction from baseline was calculated as follows: percentage reduction=(baseline score– follow-up score)/baseline score×100.
Statistical Analysis—Data were analyzed in SPSS Statistics 25 (IBM). The quantitative variables of age, duration of melasma, and body mass index were presented as mean (SD). Qualitative variables such as sex, history of diabetes mellitus or hypertension, site of melasma, and efficacy were presented as frequencies and percentages. Mean MASI scores at baseline and 12 weeks posttreatment were compared using a paired t test (P≤.05). Data were stratified for age, sex, history of diabetes mellitus or hypertension, site of melasma, and duration of melasma, and a χ2 test was applied to compare efficacy in stratified groups (P≤.05).
Results
Sixty patients were enrolled in the study. Of them, 17 (28.33%) were male, and 43 (71.67%) were female (2:5 ratio). They ranged in age from 20 to 45 years (mean [SD], 31.93 [6.26] years). Thirty-seven patients (61.67%) were aged 31 to 45 years of age (Table 1). The mean (SD) duration of disease was 10.18 (2.10) months. The response to TA was recorded based on patient distribution according to the site of melasma as well as history of diabetes mellitus and hypertension.
Topical TA was found to be efficacious for melasma in 50 (83.33%) patients. The mean (SD) baseline and week 12 MASI scores were 23.15 (5.02) and 12.71 (4.10)(P<.0001), respectively (Table 2). The stratification of efficacy with respect to age, sex, duration of melasma, site of melasma, and history of diabetes mellitus or hypertension is shown in the eTable. The site of melasma was significant with respect to stratification of efficacy. On the forehead, TA was found to be efficacious in 11 patients and nonefficacious in 0 patients (P=.036). In the malar region, it was efficacious in 16 patients and nonefficacious in 1 patient (P=.036). Finally, on the chin, it was efficacious in 23 patients and nonefficacious in 9 patients (P=.036).
Comment
Melasma Presentation and Development—Melasma is a chronic skin condition that more often affects patients with darker skin types. This condition is characterized by hyperpigmentation of skin that is directly exposed to the sun, such as the cheek, nose, forehead, and above the upper lip.17 Although the mechanism behind how melasma develops is unknown, one theory suggests that UV light can lead to increased plasmin in keratinocytes.18 This increased plasmin will thereby increase the arachidonic acid and α-MSH, leading to the observed uneven hyperpigmentation that is notable in melasma. Melasma is common in patients using oral contraceptives or expired cosmetic drugs; in those who are pregnant; and in those with liver dysfunction.18 Melasma has a negative impact on patients’ quality of life because of substantial psychological and social distress. Thus, finding an accessible treatment is imperative.19
Melasma Management—The most common treatments for melasma have been topical bleaching agents and photoprotection. Combination therapy options include chemical peels, dermabrasion, and laser treatments, though they present with limited efficacy.17,20 Because melasma focuses on pigmentation correction, topical treatments work to disturb melanocyte pigment production at the enzymatic level.21 Tyrosinase is rate limiting in melanin production, as it converts L-tyrosinase to L-3,4-dihydroxyphenylalanine, using copper to interact with L-3,4-dihydroxyphenylalanine as a cofactor in the active site.22 Therefore, tyrosine is a major target for many drugs that have been developed for melasma to decrease melaninization.21
Recently, research has focused on the effects of topical, intradermal, and oral TA for melasma.17 Tranexamic acid most commonly has been used in medicine as a fibrinolytic agent because of its antiplasmin properties. It has been hypothesized that TA can inhibit the release of paracrine melanogenic factors that normally act to stimulate melanocytes.17 Although studies have supported the safety and efficacy of TA, there remains a lack of clinical studies that are sufficiently powered. No definitive consensus on the use of TA for melasma currently exists, which indicates the need for large-scale, randomized, controlled trials.23
One trial (N=25) found that TA solution 5% achieved efficacy (>50% reduction in MASI score from baseline) in 86.1% of patients with melasma.24 In another study (N=18), topical TA 5% achieved efficacy (>50% reduction in MASI score) in 86% of patients with melasma.25
Melasma Comorbidities—To determine if certain comorbidities, such as diabetes mellitus or hypertension, influenced the progression of melasma, we stratified the efficacy results for patients with these 2 comorbidities, which showed no significant difference (P=.794 and P=.101, respectively). Thus, the relatively higher prevalence of diabetes mellitus (16 patients) and hypertension (11 patients) did not contribute to the efficacy of TA in lowering MASI scores over the 12-week period, which supports the findings of Doolan and Gupta,26 who investigated the endocrinologic conditions associated with melasma and found no such association with diabetes mellitus or hypertension.
TA Formulations for Melasma—The efficacy of topical TA has been explored in several studies. Six studies with sample sizes of 13 to 50 patients each showed statistically significant differences in MASI scores between baseline and following TA treatment (P<.001).27-32 Several formulations and regimens were utilized, including TA cream 3% for 12 weeks, TA gel 5% for 12 weeks, TA solution 3% for 12 weeks, TA liposome 5% for 12 weeks, and TA solution 2% for 12 weeks.18 Additionally, these studies found TA to be effective in limiting dyschromia and decreasing MASI scores. There were no statistically significant differences between formulations and method of application. Topical TA has been found to be just as effective as other treatments for melasma, including intradermal TA injections, topical hydroquinone, and a combination of topical hydroquinone and dexamethasone.18
Further study of the efficacy of intradermal TA is necessary because many human trials have lacked statistical significance or a control group. Lee et al32 conducted a trial of 100 female patients who received weekly intradermal TA microinjections for 12 weeks. After 8 and 12 weeks, MASI scores decreased significantly (P<.01).32 Similarly, Badran et al33 observed 60 female patients in 3 trial groups: group A received TA (4 mg/mL) intradermal injections every 2 weeks, group B received TA (10 mg/mL) intradermal injections every 2 weeks, and group C received TA cream 10% twice daily. Although all groups showed improvement in MASI, group B, which had the highest intradermal TA concentration, exhibited the most improvement. Thus, it was determined that intradermal application led to better results, but the cream was still effective.33
Saki et al34 conducted a randomized, split-face trial of 37 patients comparing the efficacy of intradermal TA and topical hydroquinone. Each group was treated with either monthly intradermal TA injections or nightly hydroquinone for 3 months. After 4 weeks of treatment, TA initially had a greater improvement. However, after 20 weeks, the overall changes were not significant between the 2 groups.34 Pazyar et al35 conducted a randomized, split-face trial of 49 patients comparing the efficacy of intradermal TA and hydroquinone cream. After 24 weeks of biweekly TA injections or twice-daily hydroquinone, there were no statistically significant differences in the decreased MASI scores between treatments.35 Additional large, double-blind, controlled trials are needed to thoroughly assess the role of intradermal TA in comparison to its treatment counterpart of hydroquinone.
Ebrahimi and Naeini29 conducted a 12-week, double-blind, split-phase trial of 50 Iranian melasma patients, which showed that 27.3% of patients rated the improvement in melasma as excellent, 42.4% as good, and 30.3% as fair after using TA solution 3%. Wu et al36 also showed a total melasma improvement rate of 80.9% in 256 patients with long-term oral use of TA. In a study by Kim et al31 (N=245), the mean MASI score considerably decreased after topical TA use, with a total response rate of 95.6%. In another study, Atefi et al37 presented significantly increased levels of satisfaction in patients treated with topical TA 5% vs hydroquinone (P=.015).
Melasma in Patients With Darker Skin Types—Special attention must be given to choosing the appropriate medication in melasma patients with darker skin types, as there is an increased risk for postinflammatory hyperpigmentation. Currently, few randomized controlled trials exist that fulfill the criteria of evaluating pharmacologic options for patients with melasma, and even fewer studies solely focus on patients with darker skin types.38 In addition to treatment advances, patients must be educated on the need to avoid sun exposure when possible or to use photoprotection, especially in the South Asian region, where these practices rarely are taught. Our study provided a unique analysis regarding the efficacy of TA solution 5% for the treatment of melasma in patients of South Asian descent. Clinicians can use these findings as a foundation for treating all patients with melasma but particularly those with darker skin types.
Study Limitations—Our study consisted of 60 patients; although our study had more patients than similar trials, larger studies are needed. Additionally, other variables were excluded from our analysis, such as comorbidities beyond diabetes mellitus and hypertension.
Conclusion
This study contributes to the growing field of melasma therapeutics by evaluating the efficacy of using TA solution 5% for the treatment of melasma in South Asian patients with darker skin types. Clinicians may use our study to broaden their treatment options for a common condition while also addressing the lack of clinical options for patients with darker skin types. Further studies investigating the effectiveness of TA in large clinical trials in humans are warranted to understand the efficacy and the risk for any complications.
Melasma is a complex, long-lasting, acquired dermatologic pigmentation disorder resulting in grey-brown patches that last for more than 3 months. Sun-exposed areas including the nose, cheeks, forehead, and forearms are most likely to be affected.1 In Southeast Asia, 0.25% to 4% of the population affected by melasma is aged 30 to 40 years.2 In particular, melasma is a concern among pregnant women due to increased levels of melanocyte-stimulating hormones (MSHs) and is impacted by genetics, hormonal influence, and exposure to UV light.3,4 In Pakistan, approximately 46% of women are affected by melasma during pregnancy.2,5 Although few studies have focused on the clinical approaches to melasma in darker skin types, it continues to disproportionately affect the skin of color population.4
The areas of hyperpigmentation seen in melasma exhibit increased deposition of melanin in the epidermis and dermis, but melanocytes are not elevated. However, in areas of hyperpigmentation, the melanocytes are larger and more dendritic and demonstrate an increased level of melanogenesis.6 During pregnancy, especially in the third trimester, elevated levels of estrogen, progesterone, and MSH often are found in association with melasma.7 Tyrosinase (TYR) activity increases and cellular proliferation is reduced after treatment of melanocytes in culture with β-estradiol.8 Sex steroids increase transcription of genes encoding melanogenic enzymes in normal human melanocytes, especially TYR.9 These results are consistent with the notable increases in melanin synthesis and TYR activity reported for normal human melanocytes under similar conditions in culture.10 Because melanocytes contain both cytosolic and nuclear estrogen receptors, melanocytes in patients with melasma may be inherently more sensitive to the stimulatory effects of estrogens and possibly other steroid hormones.11
The current treatment options for melasma have varying levels of success and include topical depigmenting agents such as hydroquinone, tretinoin, azelaic acid, kojic acid, and corticosteroids; dermabrasion; and chemical peels.12-14 Chemical peels with glycolic acid, salicylic acid, lactic acid, trichloroacetic acid, and phenol, as well as laser therapy, are reliable management options.13,14 Traditionally, melasma has been treated with a combination of modalities along with photoprotection and trigger avoidance.12
The efficacy and safety of the available therapies for melasma are still controversial and require further exploration. In recent years, off-label tranexamic acid (TA) has emerged as a potential therapy for melasma. Although the mechanism of action remains unclear, TA may inhibit melanin synthesis by blocking the interaction between melanocytes and keratinocytes.15 Tranexamic acid also may reverse the abnormal dermal changes associated with melasma by inhibiting melanogenesis and angiogenesis.16
Although various therapeutic options exist for melasma, the search for a reliable option in patients with darker skin types continues.13 We sought to evaluate the efficacy of TA solution 5% in reducing the severity of melasma in South Asian patients, thereby improving patient outcomes and maximizing patient satisfaction. Topical TA is inexpensive and readily accessible and does not cause systemic side effects. These qualities make it a promising treatment compared to traditional therapies.
Methods
We conducted a randomized controlled trial at Rawalpindi Medical Institute (Punjab, Pakistan). The researchers obtained informed consent for all enrolled patients. Cases were sampled from the original patient population seen at the office using nonprobability consecutive sampling. The sample size was calculated with a 95% CI, margin of error of 9%, and expected percentage of efficacy of 86.1% by using TA solution 5%. South Asian male and female patients aged 20 to 45 years with melasma were included in the analysis. Patients were excluded if they were already taking TA, oral contraceptive pills, or photosensitizing drugs (eg, nonsteroidal anti-inflammatory drugs, tetracyclines, phenytoin, carbamazepine); were pregnant; had chronic kidney disease (creatinine >2.0 mg/dL); had cardiac abnormalities (abnormal electrocardiogram); had hematologic disorders (international normalized ratio >2); or had received another melasma treatment within the last 3 to 6 months.
All enrolled patients underwent a detailed history and physical examination. Patient demographics were subsequently noted, including age, sex, history of diabetes mellitus or hypertension, and duration of melasma. The melasma area and severity index (MASI) score of each patient was calculated at baseline, and a corresponding photograph was taken.
The topical solution was prepared with 5 g of TA dissolved in 10 cc of ethanol at 96 °F, 10 cc of 1,3-butanediol, and distilled water up to 100 cc. The TA solution was applied to the affected areas once daily by the patient for 12 weeks. Each application covered the affected areas completely. Patients were instructed to apply sunscreen with sun protection factor 60 to those same areas for UV protection after 15 minutes of TA application. Biweekly follow-ups were scheduled during the trial, and the MASI score was recorded at these visits. If the mean MASI score was reduced by half after 12 weeks of treatment, then the treatment was considered efficacious with a 95% CI.
The percentage reduction from baseline was calculated as follows: percentage reduction=(baseline score– follow-up score)/baseline score×100.
Statistical Analysis—Data were analyzed in SPSS Statistics 25 (IBM). The quantitative variables of age, duration of melasma, and body mass index were presented as mean (SD). Qualitative variables such as sex, history of diabetes mellitus or hypertension, site of melasma, and efficacy were presented as frequencies and percentages. Mean MASI scores at baseline and 12 weeks posttreatment were compared using a paired t test (P≤.05). Data were stratified for age, sex, history of diabetes mellitus or hypertension, site of melasma, and duration of melasma, and a χ2 test was applied to compare efficacy in stratified groups (P≤.05).
Results
Sixty patients were enrolled in the study. Of them, 17 (28.33%) were male, and 43 (71.67%) were female (2:5 ratio). They ranged in age from 20 to 45 years (mean [SD], 31.93 [6.26] years). Thirty-seven patients (61.67%) were aged 31 to 45 years of age (Table 1). The mean (SD) duration of disease was 10.18 (2.10) months. The response to TA was recorded based on patient distribution according to the site of melasma as well as history of diabetes mellitus and hypertension.
Topical TA was found to be efficacious for melasma in 50 (83.33%) patients. The mean (SD) baseline and week 12 MASI scores were 23.15 (5.02) and 12.71 (4.10)(P<.0001), respectively (Table 2). The stratification of efficacy with respect to age, sex, duration of melasma, site of melasma, and history of diabetes mellitus or hypertension is shown in the eTable. The site of melasma was significant with respect to stratification of efficacy. On the forehead, TA was found to be efficacious in 11 patients and nonefficacious in 0 patients (P=.036). In the malar region, it was efficacious in 16 patients and nonefficacious in 1 patient (P=.036). Finally, on the chin, it was efficacious in 23 patients and nonefficacious in 9 patients (P=.036).
Comment
Melasma Presentation and Development—Melasma is a chronic skin condition that more often affects patients with darker skin types. This condition is characterized by hyperpigmentation of skin that is directly exposed to the sun, such as the cheek, nose, forehead, and above the upper lip.17 Although the mechanism behind how melasma develops is unknown, one theory suggests that UV light can lead to increased plasmin in keratinocytes.18 This increased plasmin will thereby increase the arachidonic acid and α-MSH, leading to the observed uneven hyperpigmentation that is notable in melasma. Melasma is common in patients using oral contraceptives or expired cosmetic drugs; in those who are pregnant; and in those with liver dysfunction.18 Melasma has a negative impact on patients’ quality of life because of substantial psychological and social distress. Thus, finding an accessible treatment is imperative.19
Melasma Management—The most common treatments for melasma have been topical bleaching agents and photoprotection. Combination therapy options include chemical peels, dermabrasion, and laser treatments, though they present with limited efficacy.17,20 Because melasma focuses on pigmentation correction, topical treatments work to disturb melanocyte pigment production at the enzymatic level.21 Tyrosinase is rate limiting in melanin production, as it converts L-tyrosinase to L-3,4-dihydroxyphenylalanine, using copper to interact with L-3,4-dihydroxyphenylalanine as a cofactor in the active site.22 Therefore, tyrosine is a major target for many drugs that have been developed for melasma to decrease melaninization.21
Recently, research has focused on the effects of topical, intradermal, and oral TA for melasma.17 Tranexamic acid most commonly has been used in medicine as a fibrinolytic agent because of its antiplasmin properties. It has been hypothesized that TA can inhibit the release of paracrine melanogenic factors that normally act to stimulate melanocytes.17 Although studies have supported the safety and efficacy of TA, there remains a lack of clinical studies that are sufficiently powered. No definitive consensus on the use of TA for melasma currently exists, which indicates the need for large-scale, randomized, controlled trials.23
One trial (N=25) found that TA solution 5% achieved efficacy (>50% reduction in MASI score from baseline) in 86.1% of patients with melasma.24 In another study (N=18), topical TA 5% achieved efficacy (>50% reduction in MASI score) in 86% of patients with melasma.25
Melasma Comorbidities—To determine if certain comorbidities, such as diabetes mellitus or hypertension, influenced the progression of melasma, we stratified the efficacy results for patients with these 2 comorbidities, which showed no significant difference (P=.794 and P=.101, respectively). Thus, the relatively higher prevalence of diabetes mellitus (16 patients) and hypertension (11 patients) did not contribute to the efficacy of TA in lowering MASI scores over the 12-week period, which supports the findings of Doolan and Gupta,26 who investigated the endocrinologic conditions associated with melasma and found no such association with diabetes mellitus or hypertension.
TA Formulations for Melasma—The efficacy of topical TA has been explored in several studies. Six studies with sample sizes of 13 to 50 patients each showed statistically significant differences in MASI scores between baseline and following TA treatment (P<.001).27-32 Several formulations and regimens were utilized, including TA cream 3% for 12 weeks, TA gel 5% for 12 weeks, TA solution 3% for 12 weeks, TA liposome 5% for 12 weeks, and TA solution 2% for 12 weeks.18 Additionally, these studies found TA to be effective in limiting dyschromia and decreasing MASI scores. There were no statistically significant differences between formulations and method of application. Topical TA has been found to be just as effective as other treatments for melasma, including intradermal TA injections, topical hydroquinone, and a combination of topical hydroquinone and dexamethasone.18
Further study of the efficacy of intradermal TA is necessary because many human trials have lacked statistical significance or a control group. Lee et al32 conducted a trial of 100 female patients who received weekly intradermal TA microinjections for 12 weeks. After 8 and 12 weeks, MASI scores decreased significantly (P<.01).32 Similarly, Badran et al33 observed 60 female patients in 3 trial groups: group A received TA (4 mg/mL) intradermal injections every 2 weeks, group B received TA (10 mg/mL) intradermal injections every 2 weeks, and group C received TA cream 10% twice daily. Although all groups showed improvement in MASI, group B, which had the highest intradermal TA concentration, exhibited the most improvement. Thus, it was determined that intradermal application led to better results, but the cream was still effective.33
Saki et al34 conducted a randomized, split-face trial of 37 patients comparing the efficacy of intradermal TA and topical hydroquinone. Each group was treated with either monthly intradermal TA injections or nightly hydroquinone for 3 months. After 4 weeks of treatment, TA initially had a greater improvement. However, after 20 weeks, the overall changes were not significant between the 2 groups.34 Pazyar et al35 conducted a randomized, split-face trial of 49 patients comparing the efficacy of intradermal TA and hydroquinone cream. After 24 weeks of biweekly TA injections or twice-daily hydroquinone, there were no statistically significant differences in the decreased MASI scores between treatments.35 Additional large, double-blind, controlled trials are needed to thoroughly assess the role of intradermal TA in comparison to its treatment counterpart of hydroquinone.
Ebrahimi and Naeini29 conducted a 12-week, double-blind, split-phase trial of 50 Iranian melasma patients, which showed that 27.3% of patients rated the improvement in melasma as excellent, 42.4% as good, and 30.3% as fair after using TA solution 3%. Wu et al36 also showed a total melasma improvement rate of 80.9% in 256 patients with long-term oral use of TA. In a study by Kim et al31 (N=245), the mean MASI score considerably decreased after topical TA use, with a total response rate of 95.6%. In another study, Atefi et al37 presented significantly increased levels of satisfaction in patients treated with topical TA 5% vs hydroquinone (P=.015).
Melasma in Patients With Darker Skin Types—Special attention must be given to choosing the appropriate medication in melasma patients with darker skin types, as there is an increased risk for postinflammatory hyperpigmentation. Currently, few randomized controlled trials exist that fulfill the criteria of evaluating pharmacologic options for patients with melasma, and even fewer studies solely focus on patients with darker skin types.38 In addition to treatment advances, patients must be educated on the need to avoid sun exposure when possible or to use photoprotection, especially in the South Asian region, where these practices rarely are taught. Our study provided a unique analysis regarding the efficacy of TA solution 5% for the treatment of melasma in patients of South Asian descent. Clinicians can use these findings as a foundation for treating all patients with melasma but particularly those with darker skin types.
Study Limitations—Our study consisted of 60 patients; although our study had more patients than similar trials, larger studies are needed. Additionally, other variables were excluded from our analysis, such as comorbidities beyond diabetes mellitus and hypertension.
Conclusion
This study contributes to the growing field of melasma therapeutics by evaluating the efficacy of using TA solution 5% for the treatment of melasma in South Asian patients with darker skin types. Clinicians may use our study to broaden their treatment options for a common condition while also addressing the lack of clinical options for patients with darker skin types. Further studies investigating the effectiveness of TA in large clinical trials in humans are warranted to understand the efficacy and the risk for any complications.
- Espósito ACC, Brianezi G, De Souza NP, et al. Exploratory study of epidermis, basement membrane zone, upper dermis alterations and Wnt pathway activation in melasma compared to adjacent and retroauricular skin. Ann Dermatol. 2020;32:101-108.
- Janney MS, Subramaniyan R, Dabas R, et al. A randomized controlled study comparing the efficacy of topical 5% tranexamic acid solution versus 3% hydroquinone cream in melasma. J Cutan Aesthet Surg. 2019;12:63-67.
- Chalermchai T, Rummaneethorn P. Effects of a fractional picosecond 1,064 nm laser for the treatment of dermal and mixed type melasmaJ Cosmet Laser Ther. 2018;20:134-139.
- Grimes PE, Ijaz S, Nashawati R, et al. New oral and topical approaches for the treatment of melasma. Int J Womens Dermatol. 2019;5:30-36.
- Handel AC, Miot LDB, Miot HA. Melasma: a clinical and epidemiological review. An Bras Dermatol. 2014;89:771-782.
- Barankin B, Silver SG, Carruthers A. The skin in pregnancy. J Cutan Med Surg. 2002;6:236-240.
- Grimes PE, Yamada N, Bhawan J. Light microscopic, immunohistochemical, and ultrastructural alterations in patients with melasma. Am J Dermatopathol. 2005;27:96-101.
- Smith AG, Shuster S, Thody AJ, et al. Chloasma, oral contraceptives, and plasma immunoreactive beta-melanocyte-stimulating hormone. J Invest Dermatol. 1977;68:169-170.
- Ranson M, Posen S, Mason RS. Human melanocytes as a target tissue for hormones: in vitro studies with 1 alpha-25, dihydroxyvitamin D3, alpha-melanocyte stimulating hormone, and beta-estradiol. J Invest Dermatol. 1988;91:593-598.
- Kippenberger S, Loitsch S, Solano F, et al. Quantification of tyrosinase, TRP-1, and Trp-2 transcripts in human melanocytes by reverse transcriptase-competitive multiplex PCR—regulation by steroid hormones. J Invest Dermatol. 1998;110:364-367.
- McLeod SD, Ranson M, Mason RS. Effects of estrogens on human melanocytes in vitro. J Steroid Biochem Mol Biol. 1994;49:9-14.
- Chalermchai T, Rummaneethorn P. Effects of a fractional picosecond 1,064 nm laser for the treatment of dermal and mixed type melasma. J Cosmet Laser Ther. 2018;20:134-139.
- Sheu SL. Treatment of melasma using tranexamic acid: what’s known and what’s next. Cutis. 2018;101:E7-E8.
- Tian B. The Asian problem of frequent laser toning for melasma. J Clin Aesthet Dermatol. 2017;10:40-42.
- Zhang L, Tan WQ, Fang QQ, et al. Tranexamic acid for adults with melasma: a systematic review and meta-analysis. Biomed Res Int. 2018;2018:1683414.
- Zhu JW, Ni YJ, Tong XY, et al. Tranexamic acid inhibits angiogenesis and melanogenesis in vitro by targeting VEGF receptors. Int J Med Sci. 2020;17:903-911.
- Colferai MMT, Miquelin GM, Steiner D. Evaluation of oral tranexamic acid in the treatment of melasma. J Cosmet Dermatol. 2019;18:1495-1501.
- Taraz M, Niknam S, Ehsani AH. Tranexamic acid in treatment of melasma: a comprehensive review of clinical studies. Dermatol Ther. 2017;30:19-26.
- Yalamanchili R, Shastry V, Betkerur J. Clinico-epidemiological study and quality of life assessment in melasma. Indian J Dermatol. 2015;60:519.
- Kim HJ, Moon SH, Cho SH, et al. Efficacy and safety of tranexamic acid in melasma: a meta-analysis and systematic review. Acta Derm Venereol. 2017;97:776-781.
- Kim YJ, Kim MJ, Kweon DK, et al. Quantification of hypopigmentation activity in vitro. J Vis Exp. 2019;145:20-25.
- Cardoso R, Valente R, Souza da Costa CH, et al. Analysis of kojic acid derivatives as competitive inhibitors of tyrosinase: a molecular modeling approach. Molecules. 2021;26:2875.
- Bala HR, Lee S, Wong C, et al. Oral tranexamic acid for the treatment of melasma: a review. Dermatol Surg. 2018;44:814-825.
- Khuraiya S, Kachhawa D, Chouhan B, et al. A comparative study of topical 5% tranexamic acid and triple combination therapy for the treatment of melasma in Indian population. Pigment International. 2019;6:18-23.
- Steiner D, Feola C, Bialeski N, et al. Study evaluating the efficacy of topical and injected tranexamic acid in treatment of melasma. Surg Cosmet Dermatol. 2009;1:174-177.
- Doolan B, Gupta M. Melasma. Aust J Gen Pract. 2021;50:880-885.
- Banihashemi M, Zabolinejad N, Jaafari MR, et al. Comparison of therapeutic effects of liposomal tranexamic acid and conventional hydroquinone on melasma. J Cosmet Dermatol. 2015;14:174-177.
- Chung JY, Lee JH, Lee JH. Topical tranexamic acid as an adjuvant treatment in melasma: side-by-side comparison clinical study. J Dermatolog Treat. 2016;27:373-377.
- Ebrahimi B, Naeini FF. Topical tranexamic acid as a promising treatment for melasma. J Res Med Sci. 2014;19:753-757.
- Kanechorn Na Ayuthaya P, Niumphradit N, Manosroi A, et al. Topical 5% tranexamic acid for the treatment of melasma in Asians: a double-blind randomized controlled clinical trial. J Cosmet Laser Ther. 2012;14:150-154.
- Kim SJ, Park JY, Shibata T, et al. Efficacy and possible mechanisms of topical tranexamic acid in melasma. Clin Exp Dermatol. 2016;41:480-485.
- Lee JH, Park JG, Lim SH, et al. Localized intradermal microinjection of tranexamic acid for treatment of melasma in Asian patients: a preliminary clinical trial. Dermatol Surg. 2006;32:626-631.
- Badran AY, Ali AU, Gomaa AS. Efficacy of topical versus intradermal injection of tranexamic acid in Egyptian melasma patients: a randomised clinical trial. Australas J Dermatol. 2021;62:E373-E379.
- Saki N, Darayesh M, Heiran A. Comparing the efficacy of topical hydroquinone 2% versus intradermal tranexamic acid microinjections in treating melasma: a split-face controlled trial. J Dermatolog Treat. 2018;29:405-410.
- Pazyar N, Yaghoobi R, Zeynalie M, et al. Comparison of the efficacy of intradermal injected tranexamic acid vs hydroquinone cream in the treatment of melasma. Clin Cosmet Investig Dermatol. 2019;12:115-122.
- Wu S, Shi H, Wu H, et al. Treatment of melasma with oral administration of tranexamic acid. Aesthetic Plast Surg. 2012;36:964-970.
- Atefi N, Dalvand B, Ghassemi M, et al. Therapeutic effects of topical tranexamic acid in comparison with hydroquinone in treatment of women with melasma. Dermatol Ther (Heidelb). 2017;7:417-424.
- Cestari T, Arellano I, Hexsel D, et al. Melasma in Latin America: options for therapy and treatment algorithm. J Eur Acad Dermatol Venereol. 2009;23:760-772.
- Espósito ACC, Brianezi G, De Souza NP, et al. Exploratory study of epidermis, basement membrane zone, upper dermis alterations and Wnt pathway activation in melasma compared to adjacent and retroauricular skin. Ann Dermatol. 2020;32:101-108.
- Janney MS, Subramaniyan R, Dabas R, et al. A randomized controlled study comparing the efficacy of topical 5% tranexamic acid solution versus 3% hydroquinone cream in melasma. J Cutan Aesthet Surg. 2019;12:63-67.
- Chalermchai T, Rummaneethorn P. Effects of a fractional picosecond 1,064 nm laser for the treatment of dermal and mixed type melasmaJ Cosmet Laser Ther. 2018;20:134-139.
- Grimes PE, Ijaz S, Nashawati R, et al. New oral and topical approaches for the treatment of melasma. Int J Womens Dermatol. 2019;5:30-36.
- Handel AC, Miot LDB, Miot HA. Melasma: a clinical and epidemiological review. An Bras Dermatol. 2014;89:771-782.
- Barankin B, Silver SG, Carruthers A. The skin in pregnancy. J Cutan Med Surg. 2002;6:236-240.
- Grimes PE, Yamada N, Bhawan J. Light microscopic, immunohistochemical, and ultrastructural alterations in patients with melasma. Am J Dermatopathol. 2005;27:96-101.
- Smith AG, Shuster S, Thody AJ, et al. Chloasma, oral contraceptives, and plasma immunoreactive beta-melanocyte-stimulating hormone. J Invest Dermatol. 1977;68:169-170.
- Ranson M, Posen S, Mason RS. Human melanocytes as a target tissue for hormones: in vitro studies with 1 alpha-25, dihydroxyvitamin D3, alpha-melanocyte stimulating hormone, and beta-estradiol. J Invest Dermatol. 1988;91:593-598.
- Kippenberger S, Loitsch S, Solano F, et al. Quantification of tyrosinase, TRP-1, and Trp-2 transcripts in human melanocytes by reverse transcriptase-competitive multiplex PCR—regulation by steroid hormones. J Invest Dermatol. 1998;110:364-367.
- McLeod SD, Ranson M, Mason RS. Effects of estrogens on human melanocytes in vitro. J Steroid Biochem Mol Biol. 1994;49:9-14.
- Chalermchai T, Rummaneethorn P. Effects of a fractional picosecond 1,064 nm laser for the treatment of dermal and mixed type melasma. J Cosmet Laser Ther. 2018;20:134-139.
- Sheu SL. Treatment of melasma using tranexamic acid: what’s known and what’s next. Cutis. 2018;101:E7-E8.
- Tian B. The Asian problem of frequent laser toning for melasma. J Clin Aesthet Dermatol. 2017;10:40-42.
- Zhang L, Tan WQ, Fang QQ, et al. Tranexamic acid for adults with melasma: a systematic review and meta-analysis. Biomed Res Int. 2018;2018:1683414.
- Zhu JW, Ni YJ, Tong XY, et al. Tranexamic acid inhibits angiogenesis and melanogenesis in vitro by targeting VEGF receptors. Int J Med Sci. 2020;17:903-911.
- Colferai MMT, Miquelin GM, Steiner D. Evaluation of oral tranexamic acid in the treatment of melasma. J Cosmet Dermatol. 2019;18:1495-1501.
- Taraz M, Niknam S, Ehsani AH. Tranexamic acid in treatment of melasma: a comprehensive review of clinical studies. Dermatol Ther. 2017;30:19-26.
- Yalamanchili R, Shastry V, Betkerur J. Clinico-epidemiological study and quality of life assessment in melasma. Indian J Dermatol. 2015;60:519.
- Kim HJ, Moon SH, Cho SH, et al. Efficacy and safety of tranexamic acid in melasma: a meta-analysis and systematic review. Acta Derm Venereol. 2017;97:776-781.
- Kim YJ, Kim MJ, Kweon DK, et al. Quantification of hypopigmentation activity in vitro. J Vis Exp. 2019;145:20-25.
- Cardoso R, Valente R, Souza da Costa CH, et al. Analysis of kojic acid derivatives as competitive inhibitors of tyrosinase: a molecular modeling approach. Molecules. 2021;26:2875.
- Bala HR, Lee S, Wong C, et al. Oral tranexamic acid for the treatment of melasma: a review. Dermatol Surg. 2018;44:814-825.
- Khuraiya S, Kachhawa D, Chouhan B, et al. A comparative study of topical 5% tranexamic acid and triple combination therapy for the treatment of melasma in Indian population. Pigment International. 2019;6:18-23.
- Steiner D, Feola C, Bialeski N, et al. Study evaluating the efficacy of topical and injected tranexamic acid in treatment of melasma. Surg Cosmet Dermatol. 2009;1:174-177.
- Doolan B, Gupta M. Melasma. Aust J Gen Pract. 2021;50:880-885.
- Banihashemi M, Zabolinejad N, Jaafari MR, et al. Comparison of therapeutic effects of liposomal tranexamic acid and conventional hydroquinone on melasma. J Cosmet Dermatol. 2015;14:174-177.
- Chung JY, Lee JH, Lee JH. Topical tranexamic acid as an adjuvant treatment in melasma: side-by-side comparison clinical study. J Dermatolog Treat. 2016;27:373-377.
- Ebrahimi B, Naeini FF. Topical tranexamic acid as a promising treatment for melasma. J Res Med Sci. 2014;19:753-757.
- Kanechorn Na Ayuthaya P, Niumphradit N, Manosroi A, et al. Topical 5% tranexamic acid for the treatment of melasma in Asians: a double-blind randomized controlled clinical trial. J Cosmet Laser Ther. 2012;14:150-154.
- Kim SJ, Park JY, Shibata T, et al. Efficacy and possible mechanisms of topical tranexamic acid in melasma. Clin Exp Dermatol. 2016;41:480-485.
- Lee JH, Park JG, Lim SH, et al. Localized intradermal microinjection of tranexamic acid for treatment of melasma in Asian patients: a preliminary clinical trial. Dermatol Surg. 2006;32:626-631.
- Badran AY, Ali AU, Gomaa AS. Efficacy of topical versus intradermal injection of tranexamic acid in Egyptian melasma patients: a randomised clinical trial. Australas J Dermatol. 2021;62:E373-E379.
- Saki N, Darayesh M, Heiran A. Comparing the efficacy of topical hydroquinone 2% versus intradermal tranexamic acid microinjections in treating melasma: a split-face controlled trial. J Dermatolog Treat. 2018;29:405-410.
- Pazyar N, Yaghoobi R, Zeynalie M, et al. Comparison of the efficacy of intradermal injected tranexamic acid vs hydroquinone cream in the treatment of melasma. Clin Cosmet Investig Dermatol. 2019;12:115-122.
- Wu S, Shi H, Wu H, et al. Treatment of melasma with oral administration of tranexamic acid. Aesthetic Plast Surg. 2012;36:964-970.
- Atefi N, Dalvand B, Ghassemi M, et al. Therapeutic effects of topical tranexamic acid in comparison with hydroquinone in treatment of women with melasma. Dermatol Ther (Heidelb). 2017;7:417-424.
- Cestari T, Arellano I, Hexsel D, et al. Melasma in Latin America: options for therapy and treatment algorithm. J Eur Acad Dermatol Venereol. 2009;23:760-772.
PRATICE POINTS
- Tranexamic acid (TA) solution 5% is an efficacious treatment for skin of color patients with melasma.
- Topical TA is a treatment alternative for patients who may not be able to tolerate oral TA.
- Our study revealed the greatest efficacy for TA solution 5% was seen on the forehead and malar region, with less efficacy on the chin.
Endocrine Mucin-Producing Sweat Gland Carcinoma and Primary Cutaneous Mucinous Carcinoma: A Case Series
Endocrine mucin-producing sweat gland carcinoma (EMPSGC) and
Methods
Following institutional review board approval, we conducted a retrospective, single-institution case series. We searched electronic medical records dating from 2000 to 2019 for tumors diagnosed as PCMC or extramammary Paget disease treated with MMS. We gathered demographic, clinical, pathologic, and follow-up information from the electronic medical records for each case (Tables 1 and 2). Two dermatopathologists (B.P. and B.F.K.) reviewed the hematoxylin and eosin–stained slides of each tumor as well as all available immunohistochemical stains. One of the reviewers (B.F.K.) is a board-certified dermatologist, dermatopathologist, and fellowship-trained Mohs surgeon.
Results
Demographic and Clinical Information—We identified 2 cases of EMPSGC and 3 cases of PCMC diagnosed and treated at our institution; 4 of these cases had been treated within the last 2 years. One had been treated 18 years prior; case information was limited due to planned institutional record destruction. Three of the patients were female and 2 were male. The mean age at presentation was 71 years (range, 62–87 years). None had experienced recurrence or metastases after a mean follow-up of 30 months.
Case 1—A 68-year-old woman noted a slow-growing, flesh-colored papule measuring 12×10 mm on the right lower eyelid. An excisional biopsy was completed with 2-mm clinical margins, and the defect was closed in a linear fashion. Histologic sections demonstrated EMPSGC with uninvolved margins. The patient desired no further intervention and was clinically followed. Magnetic resonance imaging (MRI) of the head and neck found no evidence of metastasis. She has had no recurrence after 15 months.
Case 2—A 62-year-old man presented with a 7×5-mm, flesh-colored papule on the left lower eyelid margin (Figure 1). It was previously treated conservatively as a hordeolum but was biopsied after it failed to resolve with 3-mm margins. Histopathology demonstrated an EMPSGC (Figure 2). The lesion was treated with modified MMS with permanent en face section processing and cleared after 1 stage. Computed tomography of the head and neck showed no abnormalities. He has had no recurrence after 9 months.
Case 3—A 72-year-old man presented with a nontender papule near the right lateral canthus. A punch biopsy demonstrated PCMC. He was treated via modified MMS with permanent en face section processing. The tumor was cleared in 1 stage. He showed no evidence of recurrence after 112 months and died of unrelated causes. The rest of his clinical information was limited because of planned institutional destruction of records.
Case 4—An 87-year-old woman presented with a 25×25-mm, slow-growing mass of 12 months’ duration on the left lower abdomen (Figure 3). A biopsy demonstrated PCMC (Figure 4). Because of the size of the lesion, she underwent WLE with 20- to 30-mm margins by a general surgeon under general anesthesia. Positron emission tomography/computed tomography was unremarkable. She has remained disease free for 11 months.
Case 5—A 66-year-old woman presented for evaluation of a posterior scalp mass measuring 23×18 mm that had grown over the last 24 months. Biopsy showed mucinous carcinoma with lymphovascular invasion consistent with PCMC (Figure 5) confirmed on multiple tissue levels and with the aid of immunohistochemistry. She was sent for an MRI of the head, neck, chest, abdomen, and pelvis, which demonstrated 2 enlarged postauricular lymph nodes and raised suspicion for metastatic disease vs reactive lymphadenopathy. Mohs micrographic surgery with frozen sections was performed with 1- to 3-mm margins; the final layer was sent for permanent processing and confirmed negative margins. Sentinel lymph node biopsy and lymphadenectomy of the 2 nodes present on imaging showed no evidence of metastasis. The patient had no recurrence in 1 month.
Comment
Endocrine mucin-producing sweat gland carcinoma and PCMC are sweat gland malignancies that carry low metastatic potential but are locally aggressive. Endocrine mucin-producing sweat gland carcinoma has a strong predilection for the periorbital region, especially the lower eyelids of older women.3 Primary cutaneous mucinous carcinoma may arise on the eyelids, scalp, axillae, and trunk and has been reported more often in older men. These slow-growing tumors appear as nonspecific nodules.3 Lesions frequently are asymptomatic but rarely may cause pruritus and bleeding. Histologically, EMPSGC appears as solid or cystic nodules of cells with a papillary, cribriform, or pseudopapillary appearance. Intracellular or extracellular mucin as well as malignant spread of tumor cells along pre-existing ductlike structures make it difficult to histologically distinguish EMPSGC from ductal carcinoma in situ.3
A key histopathologic feature of PCMC is basophilic epithelioid cell nests in mucinous lakes.4 Rosettelike structures are seen within solid areas of the tumor. Fibrous septae separate individual collections of mucin, creating a lobulated appearance. The histopathologic differential diagnosis of EMPSGC and PCMC is broad, including basal cell carcinoma, hidradenoma, hidradenocarcinoma, apocrine adenoma, and dermal duct tumor. Positive expression of at least 1 neuroendocrine marker (ie, synaptophysin, neuron-specific enolase, chromogranin) and low-molecular cytokeratin (cytokeratin 7, CAM5.2, Ber-EP4) can aid in the diagnosis of both EMPSGC and PCMC.4 The use of p63 immunostaining is beneficial in delineating adnexal neoplasms. Adnexal tumors that stain positively with p63 are more likely to be of primary cutaneous origin, whereas lack of p63 staining usually denotes a secondary metastatic process. However, p63 staining is less reliable when distinguishing primary and metastatic mucinous neoplasms. Metastatic mucinous carcinomas often stain positive with p63, while PCMC usually stains negative despite its primary cutaneous origin, decreasing the clinical utility of p63. The tumor may be identical to metastatic mucinous adenocarcinoma of the breast, gastrointestinal tract, lung, ovary, and pancreas. Tumor islands floating in mucin are identified in both primary cutaneous and metastatic disease to the skin.3,6 Areas of tumor necrosis, notable atypia, and perineural or lymphovascular invasion are infrequently reported in EMPSGC or PCMC, though lymphatic invasion was identified in case 5 presented herein.
A metastatic workup is warranted in all cases of PCMC, including a thorough history, review of systems, breast examination, and imaging. A workup may be considered in cases of EMPSGC depending on histologic features or clinical history.
There is uncertainty regarding the optimal management of these slow-growing yet locally destructive tumors.5 The incidence of local recurrence of PCMC after WLE with narrow margins of at least 1 cm can be as high as 30% to 40%, especially on the eyelid.4 There is no consensus on surgical care for either of these tumors.5 Because of the high recurrence rate and the predilection for the eyelid and face, MMS provides an excellent alternative to WLE for tissue preservation and meticulous margin control. We advocate for the use of the Mohs technique with permanent sectioning, which may delay the repair, but reviewing tissue with permanent fixation improves the quality and accuracy of the margin evaluation because these tumors often are infiltrative and difficult to delineate under frozen section processing. Permanent en face sectioning allows the laboratory to utilize the full array of immunohistochemical stains for these tumors, providing accurate and timely results.
Limitations to our retrospective uncontrolled study include missing or incomplete data points and short follow-up time. Additionally, there was no standardization to the margins removed with MMS or WLE because of the limited available data that comment on appropriate margins.
- Held L, Ruetten A, Kutzner H, et al. Endocrine mucin‐producing sweat gland carcinoma: clinicopathologic, immunohistochemical and molecular analysis of 11 cases with emphasis on MYB immunoexpression. J Cutan Pathol. 2018;45:674-680.
- Navrazhina K, Petukhova T, Wildman HF, et al. Endocrine mucin-producing sweat gland carcinoma of the scalp treated with Mohs micrographic surgery. JAAD Case Rep. 2018;4:887-889.
- Scott BL, Anyanwu CO, Vandergriff T, et al. Endocrine mucin–producing sweat gland carcinoma treated with Mohs micrographic surgery. Dermatol Surg. 2017;43:1498-1500.
- Chang S, Shim SH, Joo M, et al. A case of endocrine mucin-producing sweat gland carcinoma co-existing with mucinous carcinoma: a case report. Korean J Pathol. 2010;44:97-100.
- Kamalpour L, Brindise RT, Nodzenski M, et al. Primary cutaneous mucinous carcinoma: a systematic review and meta-analysis of outcomes after surgery. JAMA Dermatol. 2014;150:380-384.
- Bulliard C, Murali R, Maloof A, et al. Endocrine mucin‐producing sweat gland carcinoma: report of a case and review of the literature. J Cutan Pathol. 2006;33:812-816.
Endocrine mucin-producing sweat gland carcinoma (EMPSGC) and
Methods
Following institutional review board approval, we conducted a retrospective, single-institution case series. We searched electronic medical records dating from 2000 to 2019 for tumors diagnosed as PCMC or extramammary Paget disease treated with MMS. We gathered demographic, clinical, pathologic, and follow-up information from the electronic medical records for each case (Tables 1 and 2). Two dermatopathologists (B.P. and B.F.K.) reviewed the hematoxylin and eosin–stained slides of each tumor as well as all available immunohistochemical stains. One of the reviewers (B.F.K.) is a board-certified dermatologist, dermatopathologist, and fellowship-trained Mohs surgeon.
Results
Demographic and Clinical Information—We identified 2 cases of EMPSGC and 3 cases of PCMC diagnosed and treated at our institution; 4 of these cases had been treated within the last 2 years. One had been treated 18 years prior; case information was limited due to planned institutional record destruction. Three of the patients were female and 2 were male. The mean age at presentation was 71 years (range, 62–87 years). None had experienced recurrence or metastases after a mean follow-up of 30 months.
Case 1—A 68-year-old woman noted a slow-growing, flesh-colored papule measuring 12×10 mm on the right lower eyelid. An excisional biopsy was completed with 2-mm clinical margins, and the defect was closed in a linear fashion. Histologic sections demonstrated EMPSGC with uninvolved margins. The patient desired no further intervention and was clinically followed. Magnetic resonance imaging (MRI) of the head and neck found no evidence of metastasis. She has had no recurrence after 15 months.
Case 2—A 62-year-old man presented with a 7×5-mm, flesh-colored papule on the left lower eyelid margin (Figure 1). It was previously treated conservatively as a hordeolum but was biopsied after it failed to resolve with 3-mm margins. Histopathology demonstrated an EMPSGC (Figure 2). The lesion was treated with modified MMS with permanent en face section processing and cleared after 1 stage. Computed tomography of the head and neck showed no abnormalities. He has had no recurrence after 9 months.
Case 3—A 72-year-old man presented with a nontender papule near the right lateral canthus. A punch biopsy demonstrated PCMC. He was treated via modified MMS with permanent en face section processing. The tumor was cleared in 1 stage. He showed no evidence of recurrence after 112 months and died of unrelated causes. The rest of his clinical information was limited because of planned institutional destruction of records.
Case 4—An 87-year-old woman presented with a 25×25-mm, slow-growing mass of 12 months’ duration on the left lower abdomen (Figure 3). A biopsy demonstrated PCMC (Figure 4). Because of the size of the lesion, she underwent WLE with 20- to 30-mm margins by a general surgeon under general anesthesia. Positron emission tomography/computed tomography was unremarkable. She has remained disease free for 11 months.
Case 5—A 66-year-old woman presented for evaluation of a posterior scalp mass measuring 23×18 mm that had grown over the last 24 months. Biopsy showed mucinous carcinoma with lymphovascular invasion consistent with PCMC (Figure 5) confirmed on multiple tissue levels and with the aid of immunohistochemistry. She was sent for an MRI of the head, neck, chest, abdomen, and pelvis, which demonstrated 2 enlarged postauricular lymph nodes and raised suspicion for metastatic disease vs reactive lymphadenopathy. Mohs micrographic surgery with frozen sections was performed with 1- to 3-mm margins; the final layer was sent for permanent processing and confirmed negative margins. Sentinel lymph node biopsy and lymphadenectomy of the 2 nodes present on imaging showed no evidence of metastasis. The patient had no recurrence in 1 month.
Comment
Endocrine mucin-producing sweat gland carcinoma and PCMC are sweat gland malignancies that carry low metastatic potential but are locally aggressive. Endocrine mucin-producing sweat gland carcinoma has a strong predilection for the periorbital region, especially the lower eyelids of older women.3 Primary cutaneous mucinous carcinoma may arise on the eyelids, scalp, axillae, and trunk and has been reported more often in older men. These slow-growing tumors appear as nonspecific nodules.3 Lesions frequently are asymptomatic but rarely may cause pruritus and bleeding. Histologically, EMPSGC appears as solid or cystic nodules of cells with a papillary, cribriform, or pseudopapillary appearance. Intracellular or extracellular mucin as well as malignant spread of tumor cells along pre-existing ductlike structures make it difficult to histologically distinguish EMPSGC from ductal carcinoma in situ.3
A key histopathologic feature of PCMC is basophilic epithelioid cell nests in mucinous lakes.4 Rosettelike structures are seen within solid areas of the tumor. Fibrous septae separate individual collections of mucin, creating a lobulated appearance. The histopathologic differential diagnosis of EMPSGC and PCMC is broad, including basal cell carcinoma, hidradenoma, hidradenocarcinoma, apocrine adenoma, and dermal duct tumor. Positive expression of at least 1 neuroendocrine marker (ie, synaptophysin, neuron-specific enolase, chromogranin) and low-molecular cytokeratin (cytokeratin 7, CAM5.2, Ber-EP4) can aid in the diagnosis of both EMPSGC and PCMC.4 The use of p63 immunostaining is beneficial in delineating adnexal neoplasms. Adnexal tumors that stain positively with p63 are more likely to be of primary cutaneous origin, whereas lack of p63 staining usually denotes a secondary metastatic process. However, p63 staining is less reliable when distinguishing primary and metastatic mucinous neoplasms. Metastatic mucinous carcinomas often stain positive with p63, while PCMC usually stains negative despite its primary cutaneous origin, decreasing the clinical utility of p63. The tumor may be identical to metastatic mucinous adenocarcinoma of the breast, gastrointestinal tract, lung, ovary, and pancreas. Tumor islands floating in mucin are identified in both primary cutaneous and metastatic disease to the skin.3,6 Areas of tumor necrosis, notable atypia, and perineural or lymphovascular invasion are infrequently reported in EMPSGC or PCMC, though lymphatic invasion was identified in case 5 presented herein.
A metastatic workup is warranted in all cases of PCMC, including a thorough history, review of systems, breast examination, and imaging. A workup may be considered in cases of EMPSGC depending on histologic features or clinical history.
There is uncertainty regarding the optimal management of these slow-growing yet locally destructive tumors.5 The incidence of local recurrence of PCMC after WLE with narrow margins of at least 1 cm can be as high as 30% to 40%, especially on the eyelid.4 There is no consensus on surgical care for either of these tumors.5 Because of the high recurrence rate and the predilection for the eyelid and face, MMS provides an excellent alternative to WLE for tissue preservation and meticulous margin control. We advocate for the use of the Mohs technique with permanent sectioning, which may delay the repair, but reviewing tissue with permanent fixation improves the quality and accuracy of the margin evaluation because these tumors often are infiltrative and difficult to delineate under frozen section processing. Permanent en face sectioning allows the laboratory to utilize the full array of immunohistochemical stains for these tumors, providing accurate and timely results.
Limitations to our retrospective uncontrolled study include missing or incomplete data points and short follow-up time. Additionally, there was no standardization to the margins removed with MMS or WLE because of the limited available data that comment on appropriate margins.
Endocrine mucin-producing sweat gland carcinoma (EMPSGC) and
Methods
Following institutional review board approval, we conducted a retrospective, single-institution case series. We searched electronic medical records dating from 2000 to 2019 for tumors diagnosed as PCMC or extramammary Paget disease treated with MMS. We gathered demographic, clinical, pathologic, and follow-up information from the electronic medical records for each case (Tables 1 and 2). Two dermatopathologists (B.P. and B.F.K.) reviewed the hematoxylin and eosin–stained slides of each tumor as well as all available immunohistochemical stains. One of the reviewers (B.F.K.) is a board-certified dermatologist, dermatopathologist, and fellowship-trained Mohs surgeon.
Results
Demographic and Clinical Information—We identified 2 cases of EMPSGC and 3 cases of PCMC diagnosed and treated at our institution; 4 of these cases had been treated within the last 2 years. One had been treated 18 years prior; case information was limited due to planned institutional record destruction. Three of the patients were female and 2 were male. The mean age at presentation was 71 years (range, 62–87 years). None had experienced recurrence or metastases after a mean follow-up of 30 months.
Case 1—A 68-year-old woman noted a slow-growing, flesh-colored papule measuring 12×10 mm on the right lower eyelid. An excisional biopsy was completed with 2-mm clinical margins, and the defect was closed in a linear fashion. Histologic sections demonstrated EMPSGC with uninvolved margins. The patient desired no further intervention and was clinically followed. Magnetic resonance imaging (MRI) of the head and neck found no evidence of metastasis. She has had no recurrence after 15 months.
Case 2—A 62-year-old man presented with a 7×5-mm, flesh-colored papule on the left lower eyelid margin (Figure 1). It was previously treated conservatively as a hordeolum but was biopsied after it failed to resolve with 3-mm margins. Histopathology demonstrated an EMPSGC (Figure 2). The lesion was treated with modified MMS with permanent en face section processing and cleared after 1 stage. Computed tomography of the head and neck showed no abnormalities. He has had no recurrence after 9 months.
Case 3—A 72-year-old man presented with a nontender papule near the right lateral canthus. A punch biopsy demonstrated PCMC. He was treated via modified MMS with permanent en face section processing. The tumor was cleared in 1 stage. He showed no evidence of recurrence after 112 months and died of unrelated causes. The rest of his clinical information was limited because of planned institutional destruction of records.
Case 4—An 87-year-old woman presented with a 25×25-mm, slow-growing mass of 12 months’ duration on the left lower abdomen (Figure 3). A biopsy demonstrated PCMC (Figure 4). Because of the size of the lesion, she underwent WLE with 20- to 30-mm margins by a general surgeon under general anesthesia. Positron emission tomography/computed tomography was unremarkable. She has remained disease free for 11 months.
Case 5—A 66-year-old woman presented for evaluation of a posterior scalp mass measuring 23×18 mm that had grown over the last 24 months. Biopsy showed mucinous carcinoma with lymphovascular invasion consistent with PCMC (Figure 5) confirmed on multiple tissue levels and with the aid of immunohistochemistry. She was sent for an MRI of the head, neck, chest, abdomen, and pelvis, which demonstrated 2 enlarged postauricular lymph nodes and raised suspicion for metastatic disease vs reactive lymphadenopathy. Mohs micrographic surgery with frozen sections was performed with 1- to 3-mm margins; the final layer was sent for permanent processing and confirmed negative margins. Sentinel lymph node biopsy and lymphadenectomy of the 2 nodes present on imaging showed no evidence of metastasis. The patient had no recurrence in 1 month.
Comment
Endocrine mucin-producing sweat gland carcinoma and PCMC are sweat gland malignancies that carry low metastatic potential but are locally aggressive. Endocrine mucin-producing sweat gland carcinoma has a strong predilection for the periorbital region, especially the lower eyelids of older women.3 Primary cutaneous mucinous carcinoma may arise on the eyelids, scalp, axillae, and trunk and has been reported more often in older men. These slow-growing tumors appear as nonspecific nodules.3 Lesions frequently are asymptomatic but rarely may cause pruritus and bleeding. Histologically, EMPSGC appears as solid or cystic nodules of cells with a papillary, cribriform, or pseudopapillary appearance. Intracellular or extracellular mucin as well as malignant spread of tumor cells along pre-existing ductlike structures make it difficult to histologically distinguish EMPSGC from ductal carcinoma in situ.3
A key histopathologic feature of PCMC is basophilic epithelioid cell nests in mucinous lakes.4 Rosettelike structures are seen within solid areas of the tumor. Fibrous septae separate individual collections of mucin, creating a lobulated appearance. The histopathologic differential diagnosis of EMPSGC and PCMC is broad, including basal cell carcinoma, hidradenoma, hidradenocarcinoma, apocrine adenoma, and dermal duct tumor. Positive expression of at least 1 neuroendocrine marker (ie, synaptophysin, neuron-specific enolase, chromogranin) and low-molecular cytokeratin (cytokeratin 7, CAM5.2, Ber-EP4) can aid in the diagnosis of both EMPSGC and PCMC.4 The use of p63 immunostaining is beneficial in delineating adnexal neoplasms. Adnexal tumors that stain positively with p63 are more likely to be of primary cutaneous origin, whereas lack of p63 staining usually denotes a secondary metastatic process. However, p63 staining is less reliable when distinguishing primary and metastatic mucinous neoplasms. Metastatic mucinous carcinomas often stain positive with p63, while PCMC usually stains negative despite its primary cutaneous origin, decreasing the clinical utility of p63. The tumor may be identical to metastatic mucinous adenocarcinoma of the breast, gastrointestinal tract, lung, ovary, and pancreas. Tumor islands floating in mucin are identified in both primary cutaneous and metastatic disease to the skin.3,6 Areas of tumor necrosis, notable atypia, and perineural or lymphovascular invasion are infrequently reported in EMPSGC or PCMC, though lymphatic invasion was identified in case 5 presented herein.
A metastatic workup is warranted in all cases of PCMC, including a thorough history, review of systems, breast examination, and imaging. A workup may be considered in cases of EMPSGC depending on histologic features or clinical history.
There is uncertainty regarding the optimal management of these slow-growing yet locally destructive tumors.5 The incidence of local recurrence of PCMC after WLE with narrow margins of at least 1 cm can be as high as 30% to 40%, especially on the eyelid.4 There is no consensus on surgical care for either of these tumors.5 Because of the high recurrence rate and the predilection for the eyelid and face, MMS provides an excellent alternative to WLE for tissue preservation and meticulous margin control. We advocate for the use of the Mohs technique with permanent sectioning, which may delay the repair, but reviewing tissue with permanent fixation improves the quality and accuracy of the margin evaluation because these tumors often are infiltrative and difficult to delineate under frozen section processing. Permanent en face sectioning allows the laboratory to utilize the full array of immunohistochemical stains for these tumors, providing accurate and timely results.
Limitations to our retrospective uncontrolled study include missing or incomplete data points and short follow-up time. Additionally, there was no standardization to the margins removed with MMS or WLE because of the limited available data that comment on appropriate margins.
- Held L, Ruetten A, Kutzner H, et al. Endocrine mucin‐producing sweat gland carcinoma: clinicopathologic, immunohistochemical and molecular analysis of 11 cases with emphasis on MYB immunoexpression. J Cutan Pathol. 2018;45:674-680.
- Navrazhina K, Petukhova T, Wildman HF, et al. Endocrine mucin-producing sweat gland carcinoma of the scalp treated with Mohs micrographic surgery. JAAD Case Rep. 2018;4:887-889.
- Scott BL, Anyanwu CO, Vandergriff T, et al. Endocrine mucin–producing sweat gland carcinoma treated with Mohs micrographic surgery. Dermatol Surg. 2017;43:1498-1500.
- Chang S, Shim SH, Joo M, et al. A case of endocrine mucin-producing sweat gland carcinoma co-existing with mucinous carcinoma: a case report. Korean J Pathol. 2010;44:97-100.
- Kamalpour L, Brindise RT, Nodzenski M, et al. Primary cutaneous mucinous carcinoma: a systematic review and meta-analysis of outcomes after surgery. JAMA Dermatol. 2014;150:380-384.
- Bulliard C, Murali R, Maloof A, et al. Endocrine mucin‐producing sweat gland carcinoma: report of a case and review of the literature. J Cutan Pathol. 2006;33:812-816.
- Held L, Ruetten A, Kutzner H, et al. Endocrine mucin‐producing sweat gland carcinoma: clinicopathologic, immunohistochemical and molecular analysis of 11 cases with emphasis on MYB immunoexpression. J Cutan Pathol. 2018;45:674-680.
- Navrazhina K, Petukhova T, Wildman HF, et al. Endocrine mucin-producing sweat gland carcinoma of the scalp treated with Mohs micrographic surgery. JAAD Case Rep. 2018;4:887-889.
- Scott BL, Anyanwu CO, Vandergriff T, et al. Endocrine mucin–producing sweat gland carcinoma treated with Mohs micrographic surgery. Dermatol Surg. 2017;43:1498-1500.
- Chang S, Shim SH, Joo M, et al. A case of endocrine mucin-producing sweat gland carcinoma co-existing with mucinous carcinoma: a case report. Korean J Pathol. 2010;44:97-100.
- Kamalpour L, Brindise RT, Nodzenski M, et al. Primary cutaneous mucinous carcinoma: a systematic review and meta-analysis of outcomes after surgery. JAMA Dermatol. 2014;150:380-384.
- Bulliard C, Murali R, Maloof A, et al. Endocrine mucin‐producing sweat gland carcinoma: report of a case and review of the literature. J Cutan Pathol. 2006;33:812-816.
Practice Points
- Endocrine mucin-producing sweat gland carcinoma and primary cutaneous mucinous carcinoma are rare low-grade neoplasms thought to arise from apocrine glands that are morphologically and immunohistochemically analogous to ductal carcinoma in situ and mucinous carcinoma of the breast, respectively.
- Management involves a metastatic workup and either wide local excision with margins greater than 5 mm or Mohs micrographic surgery in anatomically sensitive areas.