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Limited Use of Outpatient Stress Testing in Young Patients With Atypical Chest Pain (FULL)
Low prevalence of coronary artery disease within this population suggests that younger patients may not require stress testing for chest pain evaluations as long as pretest likelihood is low.
The decision to perform stress testing in the evaluation of chest pain is often based on the pretest likelihood of coronary artery disease (CAD).1-7 Cardiac risk scores, which incorporate smoking status, blood pressure, diabetes mellitus, and cholesterol levels, also may provide further risk stratification.8-11 Assuming that the prevalence of CAD increases with age, young adults could be deemed low risk, not warranting cardiac screening.12
Professional society guidelines from the American College of Cardiology/American Heart Association and American College of Physicians4,5 recommend stress testing as the initial diagnostic test for CAD in symptomatic patients; additionally, the guidelines also suggest that screening stress tests may confer primary prevention benefit in intermediate-risk asymptomatic patients.9,13 Exercise treadmill testing is considered the initial modality of choice, given its technical ease and lower cost, compared with stress echocardiography.14
Previously published reports have shown the limited use of stress testing to screen young asymptomatic adults.15-17 Because this patient demographic typically has a low pretest likelihood of CAD, positive stress tests are often false-positive results.7,18 The consequence of false-positive testing may be unnecessary additional cardiac testing, potentially leading to more patient harm than benefit.18,19 For active-duty service members, false-positive testing also has the potential to affect worldwide deployability and/or sea duty status while further risk stratification is performed; as a result, mission readiness may be impacted.Although the number of clinic visits for chest pain has declined, there has been a discordant increase in the rates of stress testing in the US.20-22 Additionally, the rate of stress testing among young adults, specifically in the 25- to 34-year age group, has increased in recent years. Given the rising use of stress tests in the young patient population, the clinical use of stress testing needs to be reassessed.
Although much of the literature has already demonstrated the low value of stress testing in young asymptomatic adults, no data currently exist regarding its outpatient use in evaluating young symptomatic patients. The military represents a predominantly young cross-section of the general population suitable for exploring this topic. Using a cohort of active-duty service members, we aimed to determine the use of outpatient stress testing in evaluating young patients with atypical chest pain.
Methods
The US Department of Defense (DoD) Military Health System Database Repository (MDR) and Comprehensive Ambulatory Professional Encounter Record (CAPER) were the data sources for this study. The MDR contains continually updated, longitudinal electronic medical records (EMRs) for nearly 1.4 million active-duty service members and is composed of administrative, medical, pharmacy, and clinical data. The Naval Medical Center Portsmouth (NMCP) Institutional Review Board approved this study.
Study Cohort
We performed chart reviews of service members aged 18 to 35 years who received cardiac stress testing at NMCP, an academic tertiary care center, within 30 days after an office visit for atypical chest pain between October 1, 2010, and September 30, 2015. Atypical chest pain was defined as any outpatient claim with ICD-9 code, 786.5x, in the primary diagnosis field (Table 1).4
Demographics and cardiac risk factors (ie, hypertension, hyperlipidemia, diabetes mellitus, and smoking status) were assessed prior to index chest pain evaluations and defined via ICD-9 codes within outpatient records.
Cardiac Testing Outcomes
Patients were initially categorized by the results of baseline electrocardiograms (ECG) and index stress tests (ie, exercise treadmill or stress echocardiography, exercise or Lexiscan myocardial perfusion imaging, dobutamine stress echocardiography). Positive tests were defined as those having electrical or structural ischemic changes. Chronotropic changes were infrequent and nonpathologic and were not counted. Patient endpoints were either additional cardiac testing or negative index stress test without additional testing.
Statistical Analysis
The agreement between both baseline ECG and index stress test as well as index stress test and additional cardiac testing were analyzed using McNemar test and matched-pair odds ratios (ORs) with corresponding 95% CIs. Analyses were stratified by demographics and cardiac risk factors to assess for potential confounding. Analyses were performed using SAS version 9.4 (Cary, NC).
Results
A total of 1,036 patients were evaluated for atypical chest pain and had index stress testing between October 1, 2010 and September 30, 2015. The study cohort was 69% male with a mean (SD) age of 27.3 (4.7) years. More than 60% of the cohort was older than aged > 25 years.
In the initial testing cohort, exercise treadmill test (59.3%) and exercise echocardiogram (37.1%) were the most common stress testing modalities. The mean (SD) metabolic equivalents (METS) achieved among individuals who performed exercise stress testing was 13.9 (2.8). There were 65 patients who had a positive baseline ECG/negative index stress test, 958 patients had a negative ECG/negative index test, and 8 patients had a negative ECG/positive index test.
There were 102 patients (10%) who performed additional cardiac testing. Among this subgroup, 13 patients (1.3%) had additional testing for further evaluation of a positive index stress test (Table 4) and 89 patients (8.6%) had testing for continuing atypical chest pain despite a negative index stress test.
Coronary computed tomography angiography (CCTA) demonstrated nonobstructive CAD in 3 patients (0.3%) within the study cohort. There was no obstructive CAD identified in our cohort. Two patients had negative left heart catheterizations (LHC). One of these patients had a negative LHC and a negative Lexiscan after a CCTA showed CAD; all 3 of these additional tests were performed for evaluation of continued chest pain despite negative index stress testing. The positive predictive value of cardiac stress testing for nonobstructive CAD in this low-risk population was 15.4% (2 of 13). Stratification by demographics, CAD risk factors, and cardiac test results revealed no presence of confounding factors during analyses.
Discussion
In this retrospective, observational study of 1,036 young patients with atypical chest pain who had stress testing, there was relatively strong agreement between baseline ECG and index stress test results. Individuals also were 8 times more likely to have positive baseline ECGs and negative stress testing than having the opposite finding. Additional cardiac testing similarly demonstrated congruency with index stress testing and showed the propensity for false-positive stress tests. Further testing with CCTA demonstrated minimal nonobstructive CAD in < 1% of the study cohort and 2 LHC were negative. Despite the low prevalence of CAD and apparent low diagnostic use of stress testing in our young cohort, symptomatic service members still require stress testing to determine deployment suitability.
The low yield of outpatient stress testing in our young population is rooted in Bayes’ theorem, which highlights the importance of pretest likelihood in the diagnosis of CAD.7,23 Because our cohort had a low prevalence and low pretest likelihood of CAD, positive index stress tests were often false-positive results and consequently did not increase the posttest likelihood of CAD, resulting in low positive predictive value. Additional cardiac testing had limited clinical value in our cohort. The 3 cases of nonobstructive CAD were unlikely to be pathologic given the minimal degree of observed stenosis and the 2 LHC did not require revascularization. These results are similar to those shown by Christman and colleagues and Mudrick and colleagues, which highlighted the low yield of additional cardiac studies and low rate of revascularization among symptomatic patients without known cardiac disease, respectively.18,19
This is the first study, to our knowledge, to quantitatively demonstrate the low use of outpatient stress testing for young adults with atypical chest pain. Previous studies that assessed stress testing for young patients with chest pain in acute settings such as emergency departments and chest pain observation units, similarly demonstrated minimal yield of routine diagnostic testing.23,24 This further highlights the premise that outpatient and even emergent-setting stress testing in low cardiac risk individuals may be of limited value and not always necessary.
Limitations
There were several study limitations. As a single-center, cross-sectional review, we may not be able to extrapolate our findings to the general population. However, given the low prevalence of CAD in young adults, stress testing would likely have limited value regardless of the sample distribution; so it may be possible to extend our findings beyond our cohort. Also, neither baseline ECG nor index stress test (irrespective of modality) could be given a diagnostic value in predicting ischemia alone; doing so would require comparison with the gold standard—heart catheterization. Although referral bias has been associated with diagnostic performance of stress testing, we did not adjust for this phenomenon.25 Given the higher average metabolic equivalents achieved in our cohort, this potential bias likely did not affect diagnostic performance.
Conclusion
There was low diagnostic use of outpatient stress testing and additional cardiac testing for CAD among young patients with atypical chest pain. The limited value of cardiac stress testing is likely a function of the low CAD prevalence within this population, suggesting that younger patients may not necessarily require stress testing for chest pain evaluations as long as pretest likelihood is low. Despite our results, we maintain that the decision to perform stress testing should still be guided by clinical judgment, but perhaps our findings may alleviate physicians’ concerns over the urgency of when to refer low-risk patients for testing. Although we are cautious in inferring our findings to the general population, the similarity it shares with those from other published reports may suggest its applicability beyond our study cohort.
1. Fowler-Brown A, Pignone M, Pletcher M, et al. Exercise tolerance testing to screen for coronary heart disease: a systematic review for the technical support for the U.S. Preventive Services Task Force. Ann Intern Med. 2004;140(7):W9-W24.
2. Gibbons RJ, Balady GJ, Bricker JT, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Committee to Update the 1997 Exercise Testing Guidelines. ACC/AHA 2002 guideline update for exercise testing: summary article. A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (Committee to Update the 1997 Exercise Testing Guidelines). J Am Coll Cardiol. 2002;40(8):1531-1540.
3. Chou R, Arora B, Dana T, Fu R, Miranda Walker M, Humphrey L. Screening Asymptomatic Adults for Coronary Heart Disease With Resting or Exercise Electrocardiography: Systematic Review to Update the 2004 U.S. Preventive Services Task Force recommendation. Evidence Synthesis No. 88. AHRQ Publication No. 11-05158-EF-1. Rockville, MD: Agency for Healthcare Research and Quality; September 2011.
4. Fihn S, Gardin J, Abrams J, et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J Am Coll Cardiology. 2012;60(24):e44-e164.
5. Gibbons RJ, Balady GJ, Beasley JW, et al. ACC/AHA guidelines for exercise testing: executive summary. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on Exercise Testing). Circulation. 1997;96(1):345-354.
6. Greenland P, Alpert JS, Beller GA, et al. 2010 ACCF/AHA guideline for assessment of cardiovascular risk in asymptomatic adults. A report of the American College of Cardiology Foundation/ American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2010;56(25):e50-e103.
7. Diamond G, Forrester J. Analysis of probability as an aid in the clinical diagnosis of coronary artery disease. N Engl J Med. 1979;300(24):1350-1358.
8. Goff D, Lloyd-Jones D, Bennett G, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(25)(suppl 2):S49-S73.
9. Greenland P, Gaziano J. Selecting asymptomatic patients for coronary computed tomography or electrocardiographic exercise testing. N Engl J Med. 2003;349(5):465-473.
10. Shah N, Soon K, Wong C, Kellu AM. Screening for asymptomatic coronary heart disease in the young ‘at risk’ population: who and how? Int J Cardiol Heart Vasc. 2014;6:60-65.
11. Morise A, Evans M, Jalisi F, Shetty R, Stauffer M. A pretest prognostic score to assess patients undergoing exercise or pharmacological stress testing. Heart. 2007;93(2):200-204.
12. Amsterdam EA, Kirk JD, Bluemke DA, et al; American Heart Association Exercise, Cardiac Rehabilitation, and Prevention Committee of the Council on Clinical Cardiology, Council on Cardiovascular Nursing, and Interdisciplinary Council on Quality of Care and Outcomes Research. Testing of low-risk patients presenting to the emergency department with chest pain: a scientific statement from the American Heart Association. Circulation. 2010;122(17):1756-1776.
13. Livschitz S, Sharabi Y, Yushin J, et al. Limited clinical value of exercise stress test for the screening of coronary artery disease in young, asymptomatic adult men. Am J Cardiol. 2000;86(4):462-464.
14. Miller T. Stress testing: the case for the standard treadmill test. Curr Opin Cardiol. 2011;26(5):363-369.
15. La Gerche A, Baggish A, Knuuti J, et al. Cardiac imaging and stress testing asymptomatic athletes to identify those at risk of sudden cardiac death. JACC Cardiovasc Imaging. 2013;6(9):993-1007.
16. Lauer M, Froelicher ES, Williams M, Kligfield P; American Heart Association Council on Clinical Cardiology, Subcommittee on Exercise, Cardiac Rehabilitation, and Prevention. Exercise testing in asymptomatic adults: a statement for professionals from the American Heart Association Council on Clinical Cardiology, Subcommittee on Exercise, Cardiac Rehabilitation, and Prevention. Circulation. 2005;112(5):771-776.
17. Sammito S, Gundlach N, Bockelmann I. Prevalence of cardiac arrhythmia under stress conditions in occupational health assessments of young military servicemen and servicewomen. Mil Med. 2016;181(4):369-372.
18. Mudrick DW, Cowper PA, Shah BR, et al. Downstream procedures and outcomes after stress testing for chest pain without known coronary artery disease in the United States. Am Heart J. 2012;163(3):454-461.
19. Christman MP, Bittencourt MS, Hulten E, et al. Yield of downstream tests after exercise treadmill testing. J Am Coll Cardiol. 2014;63(13):1264-1274.
20. Will J, Loustalot F, Hong Y. National trends in visits to physician offices and outpatient clinics for angina 1995 to 2010. Circ Cardiovasc Qual Outcomes. 2014;7(1):110-117.
21. Kini V, McCarthy F, Dayoub E, et al. Cardiac stress test trends among US patients younger than 65 years, 2005-2012. JAMA Cardiol. 2016;1(9):1038-1042.
22. Ladapo JA, Blecker S, Douglas PS. Physician decision making and trends in the use of cardiac stress testing in the United States: an analysis of repeated cross-sectional data. Ann Intern Med. 2014;161(7):482-490.
23. Winchester DE, Brandt J, Schmidt C, Schmidt C, Allen B, Payton T, Amsterdam EA. Diagnostic yield of routine noninvasive cardiovascular testing in low-risk acute chest pain patients. Am J Cardiol. 2015;116(2):204-207.
24. Hermann L, Weingart SD, Duvall W, Henzlova MJ. The limited utility of routine cardiac stress testing in emergency department chest pain patients younger than 40 years. Ann Emerg Med. 2009;54(1):12-16.
25. Ladapo JA, Blecker S, Elashoff MR, et al. Clinical implications of referral bias in the diagnostic performance of exercise testing for coronary artery disease. J Am Heart Assoc. 2013;2(6):e000505.
Low prevalence of coronary artery disease within this population suggests that younger patients may not require stress testing for chest pain evaluations as long as pretest likelihood is low.
Low prevalence of coronary artery disease within this population suggests that younger patients may not require stress testing for chest pain evaluations as long as pretest likelihood is low.
The decision to perform stress testing in the evaluation of chest pain is often based on the pretest likelihood of coronary artery disease (CAD).1-7 Cardiac risk scores, which incorporate smoking status, blood pressure, diabetes mellitus, and cholesterol levels, also may provide further risk stratification.8-11 Assuming that the prevalence of CAD increases with age, young adults could be deemed low risk, not warranting cardiac screening.12
Professional society guidelines from the American College of Cardiology/American Heart Association and American College of Physicians4,5 recommend stress testing as the initial diagnostic test for CAD in symptomatic patients; additionally, the guidelines also suggest that screening stress tests may confer primary prevention benefit in intermediate-risk asymptomatic patients.9,13 Exercise treadmill testing is considered the initial modality of choice, given its technical ease and lower cost, compared with stress echocardiography.14
Previously published reports have shown the limited use of stress testing to screen young asymptomatic adults.15-17 Because this patient demographic typically has a low pretest likelihood of CAD, positive stress tests are often false-positive results.7,18 The consequence of false-positive testing may be unnecessary additional cardiac testing, potentially leading to more patient harm than benefit.18,19 For active-duty service members, false-positive testing also has the potential to affect worldwide deployability and/or sea duty status while further risk stratification is performed; as a result, mission readiness may be impacted.Although the number of clinic visits for chest pain has declined, there has been a discordant increase in the rates of stress testing in the US.20-22 Additionally, the rate of stress testing among young adults, specifically in the 25- to 34-year age group, has increased in recent years. Given the rising use of stress tests in the young patient population, the clinical use of stress testing needs to be reassessed.
Although much of the literature has already demonstrated the low value of stress testing in young asymptomatic adults, no data currently exist regarding its outpatient use in evaluating young symptomatic patients. The military represents a predominantly young cross-section of the general population suitable for exploring this topic. Using a cohort of active-duty service members, we aimed to determine the use of outpatient stress testing in evaluating young patients with atypical chest pain.
Methods
The US Department of Defense (DoD) Military Health System Database Repository (MDR) and Comprehensive Ambulatory Professional Encounter Record (CAPER) were the data sources for this study. The MDR contains continually updated, longitudinal electronic medical records (EMRs) for nearly 1.4 million active-duty service members and is composed of administrative, medical, pharmacy, and clinical data. The Naval Medical Center Portsmouth (NMCP) Institutional Review Board approved this study.
Study Cohort
We performed chart reviews of service members aged 18 to 35 years who received cardiac stress testing at NMCP, an academic tertiary care center, within 30 days after an office visit for atypical chest pain between October 1, 2010, and September 30, 2015. Atypical chest pain was defined as any outpatient claim with ICD-9 code, 786.5x, in the primary diagnosis field (Table 1).4
Demographics and cardiac risk factors (ie, hypertension, hyperlipidemia, diabetes mellitus, and smoking status) were assessed prior to index chest pain evaluations and defined via ICD-9 codes within outpatient records.
Cardiac Testing Outcomes
Patients were initially categorized by the results of baseline electrocardiograms (ECG) and index stress tests (ie, exercise treadmill or stress echocardiography, exercise or Lexiscan myocardial perfusion imaging, dobutamine stress echocardiography). Positive tests were defined as those having electrical or structural ischemic changes. Chronotropic changes were infrequent and nonpathologic and were not counted. Patient endpoints were either additional cardiac testing or negative index stress test without additional testing.
Statistical Analysis
The agreement between both baseline ECG and index stress test as well as index stress test and additional cardiac testing were analyzed using McNemar test and matched-pair odds ratios (ORs) with corresponding 95% CIs. Analyses were stratified by demographics and cardiac risk factors to assess for potential confounding. Analyses were performed using SAS version 9.4 (Cary, NC).
Results
A total of 1,036 patients were evaluated for atypical chest pain and had index stress testing between October 1, 2010 and September 30, 2015. The study cohort was 69% male with a mean (SD) age of 27.3 (4.7) years. More than 60% of the cohort was older than aged > 25 years.
In the initial testing cohort, exercise treadmill test (59.3%) and exercise echocardiogram (37.1%) were the most common stress testing modalities. The mean (SD) metabolic equivalents (METS) achieved among individuals who performed exercise stress testing was 13.9 (2.8). There were 65 patients who had a positive baseline ECG/negative index stress test, 958 patients had a negative ECG/negative index test, and 8 patients had a negative ECG/positive index test.
There were 102 patients (10%) who performed additional cardiac testing. Among this subgroup, 13 patients (1.3%) had additional testing for further evaluation of a positive index stress test (Table 4) and 89 patients (8.6%) had testing for continuing atypical chest pain despite a negative index stress test.
Coronary computed tomography angiography (CCTA) demonstrated nonobstructive CAD in 3 patients (0.3%) within the study cohort. There was no obstructive CAD identified in our cohort. Two patients had negative left heart catheterizations (LHC). One of these patients had a negative LHC and a negative Lexiscan after a CCTA showed CAD; all 3 of these additional tests were performed for evaluation of continued chest pain despite negative index stress testing. The positive predictive value of cardiac stress testing for nonobstructive CAD in this low-risk population was 15.4% (2 of 13). Stratification by demographics, CAD risk factors, and cardiac test results revealed no presence of confounding factors during analyses.
Discussion
In this retrospective, observational study of 1,036 young patients with atypical chest pain who had stress testing, there was relatively strong agreement between baseline ECG and index stress test results. Individuals also were 8 times more likely to have positive baseline ECGs and negative stress testing than having the opposite finding. Additional cardiac testing similarly demonstrated congruency with index stress testing and showed the propensity for false-positive stress tests. Further testing with CCTA demonstrated minimal nonobstructive CAD in < 1% of the study cohort and 2 LHC were negative. Despite the low prevalence of CAD and apparent low diagnostic use of stress testing in our young cohort, symptomatic service members still require stress testing to determine deployment suitability.
The low yield of outpatient stress testing in our young population is rooted in Bayes’ theorem, which highlights the importance of pretest likelihood in the diagnosis of CAD.7,23 Because our cohort had a low prevalence and low pretest likelihood of CAD, positive index stress tests were often false-positive results and consequently did not increase the posttest likelihood of CAD, resulting in low positive predictive value. Additional cardiac testing had limited clinical value in our cohort. The 3 cases of nonobstructive CAD were unlikely to be pathologic given the minimal degree of observed stenosis and the 2 LHC did not require revascularization. These results are similar to those shown by Christman and colleagues and Mudrick and colleagues, which highlighted the low yield of additional cardiac studies and low rate of revascularization among symptomatic patients without known cardiac disease, respectively.18,19
This is the first study, to our knowledge, to quantitatively demonstrate the low use of outpatient stress testing for young adults with atypical chest pain. Previous studies that assessed stress testing for young patients with chest pain in acute settings such as emergency departments and chest pain observation units, similarly demonstrated minimal yield of routine diagnostic testing.23,24 This further highlights the premise that outpatient and even emergent-setting stress testing in low cardiac risk individuals may be of limited value and not always necessary.
Limitations
There were several study limitations. As a single-center, cross-sectional review, we may not be able to extrapolate our findings to the general population. However, given the low prevalence of CAD in young adults, stress testing would likely have limited value regardless of the sample distribution; so it may be possible to extend our findings beyond our cohort. Also, neither baseline ECG nor index stress test (irrespective of modality) could be given a diagnostic value in predicting ischemia alone; doing so would require comparison with the gold standard—heart catheterization. Although referral bias has been associated with diagnostic performance of stress testing, we did not adjust for this phenomenon.25 Given the higher average metabolic equivalents achieved in our cohort, this potential bias likely did not affect diagnostic performance.
Conclusion
There was low diagnostic use of outpatient stress testing and additional cardiac testing for CAD among young patients with atypical chest pain. The limited value of cardiac stress testing is likely a function of the low CAD prevalence within this population, suggesting that younger patients may not necessarily require stress testing for chest pain evaluations as long as pretest likelihood is low. Despite our results, we maintain that the decision to perform stress testing should still be guided by clinical judgment, but perhaps our findings may alleviate physicians’ concerns over the urgency of when to refer low-risk patients for testing. Although we are cautious in inferring our findings to the general population, the similarity it shares with those from other published reports may suggest its applicability beyond our study cohort.
The decision to perform stress testing in the evaluation of chest pain is often based on the pretest likelihood of coronary artery disease (CAD).1-7 Cardiac risk scores, which incorporate smoking status, blood pressure, diabetes mellitus, and cholesterol levels, also may provide further risk stratification.8-11 Assuming that the prevalence of CAD increases with age, young adults could be deemed low risk, not warranting cardiac screening.12
Professional society guidelines from the American College of Cardiology/American Heart Association and American College of Physicians4,5 recommend stress testing as the initial diagnostic test for CAD in symptomatic patients; additionally, the guidelines also suggest that screening stress tests may confer primary prevention benefit in intermediate-risk asymptomatic patients.9,13 Exercise treadmill testing is considered the initial modality of choice, given its technical ease and lower cost, compared with stress echocardiography.14
Previously published reports have shown the limited use of stress testing to screen young asymptomatic adults.15-17 Because this patient demographic typically has a low pretest likelihood of CAD, positive stress tests are often false-positive results.7,18 The consequence of false-positive testing may be unnecessary additional cardiac testing, potentially leading to more patient harm than benefit.18,19 For active-duty service members, false-positive testing also has the potential to affect worldwide deployability and/or sea duty status while further risk stratification is performed; as a result, mission readiness may be impacted.Although the number of clinic visits for chest pain has declined, there has been a discordant increase in the rates of stress testing in the US.20-22 Additionally, the rate of stress testing among young adults, specifically in the 25- to 34-year age group, has increased in recent years. Given the rising use of stress tests in the young patient population, the clinical use of stress testing needs to be reassessed.
Although much of the literature has already demonstrated the low value of stress testing in young asymptomatic adults, no data currently exist regarding its outpatient use in evaluating young symptomatic patients. The military represents a predominantly young cross-section of the general population suitable for exploring this topic. Using a cohort of active-duty service members, we aimed to determine the use of outpatient stress testing in evaluating young patients with atypical chest pain.
Methods
The US Department of Defense (DoD) Military Health System Database Repository (MDR) and Comprehensive Ambulatory Professional Encounter Record (CAPER) were the data sources for this study. The MDR contains continually updated, longitudinal electronic medical records (EMRs) for nearly 1.4 million active-duty service members and is composed of administrative, medical, pharmacy, and clinical data. The Naval Medical Center Portsmouth (NMCP) Institutional Review Board approved this study.
Study Cohort
We performed chart reviews of service members aged 18 to 35 years who received cardiac stress testing at NMCP, an academic tertiary care center, within 30 days after an office visit for atypical chest pain between October 1, 2010, and September 30, 2015. Atypical chest pain was defined as any outpatient claim with ICD-9 code, 786.5x, in the primary diagnosis field (Table 1).4
Demographics and cardiac risk factors (ie, hypertension, hyperlipidemia, diabetes mellitus, and smoking status) were assessed prior to index chest pain evaluations and defined via ICD-9 codes within outpatient records.
Cardiac Testing Outcomes
Patients were initially categorized by the results of baseline electrocardiograms (ECG) and index stress tests (ie, exercise treadmill or stress echocardiography, exercise or Lexiscan myocardial perfusion imaging, dobutamine stress echocardiography). Positive tests were defined as those having electrical or structural ischemic changes. Chronotropic changes were infrequent and nonpathologic and were not counted. Patient endpoints were either additional cardiac testing or negative index stress test without additional testing.
Statistical Analysis
The agreement between both baseline ECG and index stress test as well as index stress test and additional cardiac testing were analyzed using McNemar test and matched-pair odds ratios (ORs) with corresponding 95% CIs. Analyses were stratified by demographics and cardiac risk factors to assess for potential confounding. Analyses were performed using SAS version 9.4 (Cary, NC).
Results
A total of 1,036 patients were evaluated for atypical chest pain and had index stress testing between October 1, 2010 and September 30, 2015. The study cohort was 69% male with a mean (SD) age of 27.3 (4.7) years. More than 60% of the cohort was older than aged > 25 years.
In the initial testing cohort, exercise treadmill test (59.3%) and exercise echocardiogram (37.1%) were the most common stress testing modalities. The mean (SD) metabolic equivalents (METS) achieved among individuals who performed exercise stress testing was 13.9 (2.8). There were 65 patients who had a positive baseline ECG/negative index stress test, 958 patients had a negative ECG/negative index test, and 8 patients had a negative ECG/positive index test.
There were 102 patients (10%) who performed additional cardiac testing. Among this subgroup, 13 patients (1.3%) had additional testing for further evaluation of a positive index stress test (Table 4) and 89 patients (8.6%) had testing for continuing atypical chest pain despite a negative index stress test.
Coronary computed tomography angiography (CCTA) demonstrated nonobstructive CAD in 3 patients (0.3%) within the study cohort. There was no obstructive CAD identified in our cohort. Two patients had negative left heart catheterizations (LHC). One of these patients had a negative LHC and a negative Lexiscan after a CCTA showed CAD; all 3 of these additional tests were performed for evaluation of continued chest pain despite negative index stress testing. The positive predictive value of cardiac stress testing for nonobstructive CAD in this low-risk population was 15.4% (2 of 13). Stratification by demographics, CAD risk factors, and cardiac test results revealed no presence of confounding factors during analyses.
Discussion
In this retrospective, observational study of 1,036 young patients with atypical chest pain who had stress testing, there was relatively strong agreement between baseline ECG and index stress test results. Individuals also were 8 times more likely to have positive baseline ECGs and negative stress testing than having the opposite finding. Additional cardiac testing similarly demonstrated congruency with index stress testing and showed the propensity for false-positive stress tests. Further testing with CCTA demonstrated minimal nonobstructive CAD in < 1% of the study cohort and 2 LHC were negative. Despite the low prevalence of CAD and apparent low diagnostic use of stress testing in our young cohort, symptomatic service members still require stress testing to determine deployment suitability.
The low yield of outpatient stress testing in our young population is rooted in Bayes’ theorem, which highlights the importance of pretest likelihood in the diagnosis of CAD.7,23 Because our cohort had a low prevalence and low pretest likelihood of CAD, positive index stress tests were often false-positive results and consequently did not increase the posttest likelihood of CAD, resulting in low positive predictive value. Additional cardiac testing had limited clinical value in our cohort. The 3 cases of nonobstructive CAD were unlikely to be pathologic given the minimal degree of observed stenosis and the 2 LHC did not require revascularization. These results are similar to those shown by Christman and colleagues and Mudrick and colleagues, which highlighted the low yield of additional cardiac studies and low rate of revascularization among symptomatic patients without known cardiac disease, respectively.18,19
This is the first study, to our knowledge, to quantitatively demonstrate the low use of outpatient stress testing for young adults with atypical chest pain. Previous studies that assessed stress testing for young patients with chest pain in acute settings such as emergency departments and chest pain observation units, similarly demonstrated minimal yield of routine diagnostic testing.23,24 This further highlights the premise that outpatient and even emergent-setting stress testing in low cardiac risk individuals may be of limited value and not always necessary.
Limitations
There were several study limitations. As a single-center, cross-sectional review, we may not be able to extrapolate our findings to the general population. However, given the low prevalence of CAD in young adults, stress testing would likely have limited value regardless of the sample distribution; so it may be possible to extend our findings beyond our cohort. Also, neither baseline ECG nor index stress test (irrespective of modality) could be given a diagnostic value in predicting ischemia alone; doing so would require comparison with the gold standard—heart catheterization. Although referral bias has been associated with diagnostic performance of stress testing, we did not adjust for this phenomenon.25 Given the higher average metabolic equivalents achieved in our cohort, this potential bias likely did not affect diagnostic performance.
Conclusion
There was low diagnostic use of outpatient stress testing and additional cardiac testing for CAD among young patients with atypical chest pain. The limited value of cardiac stress testing is likely a function of the low CAD prevalence within this population, suggesting that younger patients may not necessarily require stress testing for chest pain evaluations as long as pretest likelihood is low. Despite our results, we maintain that the decision to perform stress testing should still be guided by clinical judgment, but perhaps our findings may alleviate physicians’ concerns over the urgency of when to refer low-risk patients for testing. Although we are cautious in inferring our findings to the general population, the similarity it shares with those from other published reports may suggest its applicability beyond our study cohort.
1. Fowler-Brown A, Pignone M, Pletcher M, et al. Exercise tolerance testing to screen for coronary heart disease: a systematic review for the technical support for the U.S. Preventive Services Task Force. Ann Intern Med. 2004;140(7):W9-W24.
2. Gibbons RJ, Balady GJ, Bricker JT, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Committee to Update the 1997 Exercise Testing Guidelines. ACC/AHA 2002 guideline update for exercise testing: summary article. A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (Committee to Update the 1997 Exercise Testing Guidelines). J Am Coll Cardiol. 2002;40(8):1531-1540.
3. Chou R, Arora B, Dana T, Fu R, Miranda Walker M, Humphrey L. Screening Asymptomatic Adults for Coronary Heart Disease With Resting or Exercise Electrocardiography: Systematic Review to Update the 2004 U.S. Preventive Services Task Force recommendation. Evidence Synthesis No. 88. AHRQ Publication No. 11-05158-EF-1. Rockville, MD: Agency for Healthcare Research and Quality; September 2011.
4. Fihn S, Gardin J, Abrams J, et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J Am Coll Cardiology. 2012;60(24):e44-e164.
5. Gibbons RJ, Balady GJ, Beasley JW, et al. ACC/AHA guidelines for exercise testing: executive summary. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on Exercise Testing). Circulation. 1997;96(1):345-354.
6. Greenland P, Alpert JS, Beller GA, et al. 2010 ACCF/AHA guideline for assessment of cardiovascular risk in asymptomatic adults. A report of the American College of Cardiology Foundation/ American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2010;56(25):e50-e103.
7. Diamond G, Forrester J. Analysis of probability as an aid in the clinical diagnosis of coronary artery disease. N Engl J Med. 1979;300(24):1350-1358.
8. Goff D, Lloyd-Jones D, Bennett G, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(25)(suppl 2):S49-S73.
9. Greenland P, Gaziano J. Selecting asymptomatic patients for coronary computed tomography or electrocardiographic exercise testing. N Engl J Med. 2003;349(5):465-473.
10. Shah N, Soon K, Wong C, Kellu AM. Screening for asymptomatic coronary heart disease in the young ‘at risk’ population: who and how? Int J Cardiol Heart Vasc. 2014;6:60-65.
11. Morise A, Evans M, Jalisi F, Shetty R, Stauffer M. A pretest prognostic score to assess patients undergoing exercise or pharmacological stress testing. Heart. 2007;93(2):200-204.
12. Amsterdam EA, Kirk JD, Bluemke DA, et al; American Heart Association Exercise, Cardiac Rehabilitation, and Prevention Committee of the Council on Clinical Cardiology, Council on Cardiovascular Nursing, and Interdisciplinary Council on Quality of Care and Outcomes Research. Testing of low-risk patients presenting to the emergency department with chest pain: a scientific statement from the American Heart Association. Circulation. 2010;122(17):1756-1776.
13. Livschitz S, Sharabi Y, Yushin J, et al. Limited clinical value of exercise stress test for the screening of coronary artery disease in young, asymptomatic adult men. Am J Cardiol. 2000;86(4):462-464.
14. Miller T. Stress testing: the case for the standard treadmill test. Curr Opin Cardiol. 2011;26(5):363-369.
15. La Gerche A, Baggish A, Knuuti J, et al. Cardiac imaging and stress testing asymptomatic athletes to identify those at risk of sudden cardiac death. JACC Cardiovasc Imaging. 2013;6(9):993-1007.
16. Lauer M, Froelicher ES, Williams M, Kligfield P; American Heart Association Council on Clinical Cardiology, Subcommittee on Exercise, Cardiac Rehabilitation, and Prevention. Exercise testing in asymptomatic adults: a statement for professionals from the American Heart Association Council on Clinical Cardiology, Subcommittee on Exercise, Cardiac Rehabilitation, and Prevention. Circulation. 2005;112(5):771-776.
17. Sammito S, Gundlach N, Bockelmann I. Prevalence of cardiac arrhythmia under stress conditions in occupational health assessments of young military servicemen and servicewomen. Mil Med. 2016;181(4):369-372.
18. Mudrick DW, Cowper PA, Shah BR, et al. Downstream procedures and outcomes after stress testing for chest pain without known coronary artery disease in the United States. Am Heart J. 2012;163(3):454-461.
19. Christman MP, Bittencourt MS, Hulten E, et al. Yield of downstream tests after exercise treadmill testing. J Am Coll Cardiol. 2014;63(13):1264-1274.
20. Will J, Loustalot F, Hong Y. National trends in visits to physician offices and outpatient clinics for angina 1995 to 2010. Circ Cardiovasc Qual Outcomes. 2014;7(1):110-117.
21. Kini V, McCarthy F, Dayoub E, et al. Cardiac stress test trends among US patients younger than 65 years, 2005-2012. JAMA Cardiol. 2016;1(9):1038-1042.
22. Ladapo JA, Blecker S, Douglas PS. Physician decision making and trends in the use of cardiac stress testing in the United States: an analysis of repeated cross-sectional data. Ann Intern Med. 2014;161(7):482-490.
23. Winchester DE, Brandt J, Schmidt C, Schmidt C, Allen B, Payton T, Amsterdam EA. Diagnostic yield of routine noninvasive cardiovascular testing in low-risk acute chest pain patients. Am J Cardiol. 2015;116(2):204-207.
24. Hermann L, Weingart SD, Duvall W, Henzlova MJ. The limited utility of routine cardiac stress testing in emergency department chest pain patients younger than 40 years. Ann Emerg Med. 2009;54(1):12-16.
25. Ladapo JA, Blecker S, Elashoff MR, et al. Clinical implications of referral bias in the diagnostic performance of exercise testing for coronary artery disease. J Am Heart Assoc. 2013;2(6):e000505.
1. Fowler-Brown A, Pignone M, Pletcher M, et al. Exercise tolerance testing to screen for coronary heart disease: a systematic review for the technical support for the U.S. Preventive Services Task Force. Ann Intern Med. 2004;140(7):W9-W24.
2. Gibbons RJ, Balady GJ, Bricker JT, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Committee to Update the 1997 Exercise Testing Guidelines. ACC/AHA 2002 guideline update for exercise testing: summary article. A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (Committee to Update the 1997 Exercise Testing Guidelines). J Am Coll Cardiol. 2002;40(8):1531-1540.
3. Chou R, Arora B, Dana T, Fu R, Miranda Walker M, Humphrey L. Screening Asymptomatic Adults for Coronary Heart Disease With Resting or Exercise Electrocardiography: Systematic Review to Update the 2004 U.S. Preventive Services Task Force recommendation. Evidence Synthesis No. 88. AHRQ Publication No. 11-05158-EF-1. Rockville, MD: Agency for Healthcare Research and Quality; September 2011.
4. Fihn S, Gardin J, Abrams J, et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J Am Coll Cardiology. 2012;60(24):e44-e164.
5. Gibbons RJ, Balady GJ, Beasley JW, et al. ACC/AHA guidelines for exercise testing: executive summary. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on Exercise Testing). Circulation. 1997;96(1):345-354.
6. Greenland P, Alpert JS, Beller GA, et al. 2010 ACCF/AHA guideline for assessment of cardiovascular risk in asymptomatic adults. A report of the American College of Cardiology Foundation/ American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2010;56(25):e50-e103.
7. Diamond G, Forrester J. Analysis of probability as an aid in the clinical diagnosis of coronary artery disease. N Engl J Med. 1979;300(24):1350-1358.
8. Goff D, Lloyd-Jones D, Bennett G, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(25)(suppl 2):S49-S73.
9. Greenland P, Gaziano J. Selecting asymptomatic patients for coronary computed tomography or electrocardiographic exercise testing. N Engl J Med. 2003;349(5):465-473.
10. Shah N, Soon K, Wong C, Kellu AM. Screening for asymptomatic coronary heart disease in the young ‘at risk’ population: who and how? Int J Cardiol Heart Vasc. 2014;6:60-65.
11. Morise A, Evans M, Jalisi F, Shetty R, Stauffer M. A pretest prognostic score to assess patients undergoing exercise or pharmacological stress testing. Heart. 2007;93(2):200-204.
12. Amsterdam EA, Kirk JD, Bluemke DA, et al; American Heart Association Exercise, Cardiac Rehabilitation, and Prevention Committee of the Council on Clinical Cardiology, Council on Cardiovascular Nursing, and Interdisciplinary Council on Quality of Care and Outcomes Research. Testing of low-risk patients presenting to the emergency department with chest pain: a scientific statement from the American Heart Association. Circulation. 2010;122(17):1756-1776.
13. Livschitz S, Sharabi Y, Yushin J, et al. Limited clinical value of exercise stress test for the screening of coronary artery disease in young, asymptomatic adult men. Am J Cardiol. 2000;86(4):462-464.
14. Miller T. Stress testing: the case for the standard treadmill test. Curr Opin Cardiol. 2011;26(5):363-369.
15. La Gerche A, Baggish A, Knuuti J, et al. Cardiac imaging and stress testing asymptomatic athletes to identify those at risk of sudden cardiac death. JACC Cardiovasc Imaging. 2013;6(9):993-1007.
16. Lauer M, Froelicher ES, Williams M, Kligfield P; American Heart Association Council on Clinical Cardiology, Subcommittee on Exercise, Cardiac Rehabilitation, and Prevention. Exercise testing in asymptomatic adults: a statement for professionals from the American Heart Association Council on Clinical Cardiology, Subcommittee on Exercise, Cardiac Rehabilitation, and Prevention. Circulation. 2005;112(5):771-776.
17. Sammito S, Gundlach N, Bockelmann I. Prevalence of cardiac arrhythmia under stress conditions in occupational health assessments of young military servicemen and servicewomen. Mil Med. 2016;181(4):369-372.
18. Mudrick DW, Cowper PA, Shah BR, et al. Downstream procedures and outcomes after stress testing for chest pain without known coronary artery disease in the United States. Am Heart J. 2012;163(3):454-461.
19. Christman MP, Bittencourt MS, Hulten E, et al. Yield of downstream tests after exercise treadmill testing. J Am Coll Cardiol. 2014;63(13):1264-1274.
20. Will J, Loustalot F, Hong Y. National trends in visits to physician offices and outpatient clinics for angina 1995 to 2010. Circ Cardiovasc Qual Outcomes. 2014;7(1):110-117.
21. Kini V, McCarthy F, Dayoub E, et al. Cardiac stress test trends among US patients younger than 65 years, 2005-2012. JAMA Cardiol. 2016;1(9):1038-1042.
22. Ladapo JA, Blecker S, Douglas PS. Physician decision making and trends in the use of cardiac stress testing in the United States: an analysis of repeated cross-sectional data. Ann Intern Med. 2014;161(7):482-490.
23. Winchester DE, Brandt J, Schmidt C, Schmidt C, Allen B, Payton T, Amsterdam EA. Diagnostic yield of routine noninvasive cardiovascular testing in low-risk acute chest pain patients. Am J Cardiol. 2015;116(2):204-207.
24. Hermann L, Weingart SD, Duvall W, Henzlova MJ. The limited utility of routine cardiac stress testing in emergency department chest pain patients younger than 40 years. Ann Emerg Med. 2009;54(1):12-16.
25. Ladapo JA, Blecker S, Elashoff MR, et al. Clinical implications of referral bias in the diagnostic performance of exercise testing for coronary artery disease. J Am Heart Assoc. 2013;2(6):e000505.
Vaping related lung injury: Warning signs, care, & prevention
References
1. Lewis N, McCaffrey K, Sage K, et al. E-cigarette use, or vaping, practices and characteristics among persons with associated lung injury — Utah, April–October 2019. MMWR Morb Mortal Wkly Rep. 2019;68. https://www.cdc.gov/mmwr/volumes/68/wr/mm6842e1.htm?s_cid=mm6842e1_w. Published October 22, 2019. Accessed October 24, 2019.
2. Siegal DA, Jatlaoui TC, Koumans EH, et al. Update: interim guidance for health care providers evaluating and caring for patients with suspected e-cigarette, or vaping, product use associated lung injury – United States, October 2019. MMWR Morb Mortal Wkly Rep. 2019;68:919-927.
3. Centers for Disease Control and Prevention. Outbreak of lung injury associated with e-cigarette use, or vaping. https://www.cdc.gov/tobacco/basic_information/e-cigarettes/severe-lung-disease.html. Updated October 17, 2019. Accessed October 24, 2019.
References
1. Lewis N, McCaffrey K, Sage K, et al. E-cigarette use, or vaping, practices and characteristics among persons with associated lung injury — Utah, April–October 2019. MMWR Morb Mortal Wkly Rep. 2019;68. https://www.cdc.gov/mmwr/volumes/68/wr/mm6842e1.htm?s_cid=mm6842e1_w. Published October 22, 2019. Accessed October 24, 2019.
2. Siegal DA, Jatlaoui TC, Koumans EH, et al. Update: interim guidance for health care providers evaluating and caring for patients with suspected e-cigarette, or vaping, product use associated lung injury – United States, October 2019. MMWR Morb Mortal Wkly Rep. 2019;68:919-927.
3. Centers for Disease Control and Prevention. Outbreak of lung injury associated with e-cigarette use, or vaping. https://www.cdc.gov/tobacco/basic_information/e-cigarettes/severe-lung-disease.html. Updated October 17, 2019. Accessed October 24, 2019.
References
1. Lewis N, McCaffrey K, Sage K, et al. E-cigarette use, or vaping, practices and characteristics among persons with associated lung injury — Utah, April–October 2019. MMWR Morb Mortal Wkly Rep. 2019;68. https://www.cdc.gov/mmwr/volumes/68/wr/mm6842e1.htm?s_cid=mm6842e1_w. Published October 22, 2019. Accessed October 24, 2019.
2. Siegal DA, Jatlaoui TC, Koumans EH, et al. Update: interim guidance for health care providers evaluating and caring for patients with suspected e-cigarette, or vaping, product use associated lung injury – United States, October 2019. MMWR Morb Mortal Wkly Rep. 2019;68:919-927.
3. Centers for Disease Control and Prevention. Outbreak of lung injury associated with e-cigarette use, or vaping. https://www.cdc.gov/tobacco/basic_information/e-cigarettes/severe-lung-disease.html. Updated October 17, 2019. Accessed October 24, 2019.
Threshold for positivity affects FIT sensitivity for detecting CRC, advanced adenomas
Thresholds for positivity affected the sensitivity and (to a lesser extent) the specificity of quantitative fecal immunochemical tests used in the detection of colorectal cancer, which suggests that centers should consider lowering their thresholds for positivity if they have sufficient resources to handle an increase in follow-up colonoscopies, researchers wrote in Gastroenterology.
“Additional data are needed regarding the influence of sex and age on test performance,” wrote Kevin Selby, MD, of Kaiser Permanente Division of Research in Oakland, Calif., together with his associates. Additional studies also should evaluate the effect of a quantitative threshold of 10 mcg of hemoglobin per gram of feces and multiple rounds of annual testing, they added.
Fecal immunochemical tests (FITs) are recommended for colorectal cancer screening because they are diagnostically superior and are associated with higher participation rates, compared with guaiac fecal occult blood tests, the investigators noted. For screening, the optimal positivity threshold for quantitative FIT remains controversial, is likely to vary by sex and age, and also may be adjusted to reflect local health care resources. To more closely evaluate the correlates and effects of FIT cutoffs for sensitivity, the researchers searched MEDLINE, EMBASE, and the Database of Abstracts of Reviews of Effects for articles on the use of FIT for asymptomatic (screening) colorectal cancer detection in adults. This method identified 46 studies with 2.4 million participants and 6,478 detected cancers. The researchers then calculated sensitivity, specificity, numbers of detected cancers, advanced adenomas, and positive test results at positivity thresholds of up to 10 mcg, 10-20 mcg, 20-30 mcg, and more than 30 mcg of hemoglobin per gram of feces. They also examined subgroups stratified by sex and age.
The pooled sensitivity for the detection of colorectal cancer rose from 69% (95% confidence interval, 63%-75%) at a positivity threshold of more than 10 and up to 20 mcg of hemoglobin per gram of feces, to 80% at a positivity threshold of 10 mcg or less of hemoglobin per gram of feces. “At these [same] threshold values, sensitivity for detection of advanced adenomas increased from 21% (95% CI, 18%-25%) to 31% (95% CI, 27%-35%), whereas specificity decreased from 94% (95% CI, 93%-96%) to 91% (95% CI, 89%-93%),” the researchers wrote.
Only three studies stratified results by sex, and these found no statistical difference in pooled sensitivity for detecting colorectal cancer among men (77%) versus women (81%). Age, too, was stratified in only three studies and did not significantly correlate with sensitivity. “More research is needed to precisely establish FIT thresholds for each sex and age subgroup,” the researchers said.
The National Cancer Institute and the Swiss Cancer Research Foundation provided funding. The investigators reported having no conflicts of interest.
SOURCE: Selby K et al. Gastroenterology. 2019 Aug 22. doi: 10.1053/j.gastro.2019.08.023.
Quantitative fecal immunochemical tests or FITs are the most recent incarnation of screening for colorectal cancer (CRC) through the identification of occult blood in stool. Older versions of such tests were the first screening modalities shown to decrease both the incidence and mortality of CRC. FITs are much more sensitive for both CRC and advanced adenomas than are those early occult blood tests. They also are among the least costly and most easily employed CRC screening modalities. Given the quantitative nature of FITs, the question has remained as to what positivity threshold should be employed to achieve the optimal balance of sensitivity and specificity.
Future studies should examine more carefully demographic effects on FIT performance to determine if different positivity thresholds need to be employed in different demographic groups.
Reid M. Ness, MD, MPH, is an associate professor in the division of gastroenterology, hepatology and nutrition, department of medicine, Vanderbilt University Medical Center and at the Veterans Affairs Tennessee Valley Healthcare System, Nashville campus. He is also an investigator in the Vanderbilt-Ingram Cancer Center. Dr. Ness has no financial relationships to disclose.
Quantitative fecal immunochemical tests or FITs are the most recent incarnation of screening for colorectal cancer (CRC) through the identification of occult blood in stool. Older versions of such tests were the first screening modalities shown to decrease both the incidence and mortality of CRC. FITs are much more sensitive for both CRC and advanced adenomas than are those early occult blood tests. They also are among the least costly and most easily employed CRC screening modalities. Given the quantitative nature of FITs, the question has remained as to what positivity threshold should be employed to achieve the optimal balance of sensitivity and specificity.
Future studies should examine more carefully demographic effects on FIT performance to determine if different positivity thresholds need to be employed in different demographic groups.
Reid M. Ness, MD, MPH, is an associate professor in the division of gastroenterology, hepatology and nutrition, department of medicine, Vanderbilt University Medical Center and at the Veterans Affairs Tennessee Valley Healthcare System, Nashville campus. He is also an investigator in the Vanderbilt-Ingram Cancer Center. Dr. Ness has no financial relationships to disclose.
Quantitative fecal immunochemical tests or FITs are the most recent incarnation of screening for colorectal cancer (CRC) through the identification of occult blood in stool. Older versions of such tests were the first screening modalities shown to decrease both the incidence and mortality of CRC. FITs are much more sensitive for both CRC and advanced adenomas than are those early occult blood tests. They also are among the least costly and most easily employed CRC screening modalities. Given the quantitative nature of FITs, the question has remained as to what positivity threshold should be employed to achieve the optimal balance of sensitivity and specificity.
Future studies should examine more carefully demographic effects on FIT performance to determine if different positivity thresholds need to be employed in different demographic groups.
Reid M. Ness, MD, MPH, is an associate professor in the division of gastroenterology, hepatology and nutrition, department of medicine, Vanderbilt University Medical Center and at the Veterans Affairs Tennessee Valley Healthcare System, Nashville campus. He is also an investigator in the Vanderbilt-Ingram Cancer Center. Dr. Ness has no financial relationships to disclose.
Thresholds for positivity affected the sensitivity and (to a lesser extent) the specificity of quantitative fecal immunochemical tests used in the detection of colorectal cancer, which suggests that centers should consider lowering their thresholds for positivity if they have sufficient resources to handle an increase in follow-up colonoscopies, researchers wrote in Gastroenterology.
“Additional data are needed regarding the influence of sex and age on test performance,” wrote Kevin Selby, MD, of Kaiser Permanente Division of Research in Oakland, Calif., together with his associates. Additional studies also should evaluate the effect of a quantitative threshold of 10 mcg of hemoglobin per gram of feces and multiple rounds of annual testing, they added.
Fecal immunochemical tests (FITs) are recommended for colorectal cancer screening because they are diagnostically superior and are associated with higher participation rates, compared with guaiac fecal occult blood tests, the investigators noted. For screening, the optimal positivity threshold for quantitative FIT remains controversial, is likely to vary by sex and age, and also may be adjusted to reflect local health care resources. To more closely evaluate the correlates and effects of FIT cutoffs for sensitivity, the researchers searched MEDLINE, EMBASE, and the Database of Abstracts of Reviews of Effects for articles on the use of FIT for asymptomatic (screening) colorectal cancer detection in adults. This method identified 46 studies with 2.4 million participants and 6,478 detected cancers. The researchers then calculated sensitivity, specificity, numbers of detected cancers, advanced adenomas, and positive test results at positivity thresholds of up to 10 mcg, 10-20 mcg, 20-30 mcg, and more than 30 mcg of hemoglobin per gram of feces. They also examined subgroups stratified by sex and age.
The pooled sensitivity for the detection of colorectal cancer rose from 69% (95% confidence interval, 63%-75%) at a positivity threshold of more than 10 and up to 20 mcg of hemoglobin per gram of feces, to 80% at a positivity threshold of 10 mcg or less of hemoglobin per gram of feces. “At these [same] threshold values, sensitivity for detection of advanced adenomas increased from 21% (95% CI, 18%-25%) to 31% (95% CI, 27%-35%), whereas specificity decreased from 94% (95% CI, 93%-96%) to 91% (95% CI, 89%-93%),” the researchers wrote.
Only three studies stratified results by sex, and these found no statistical difference in pooled sensitivity for detecting colorectal cancer among men (77%) versus women (81%). Age, too, was stratified in only three studies and did not significantly correlate with sensitivity. “More research is needed to precisely establish FIT thresholds for each sex and age subgroup,” the researchers said.
The National Cancer Institute and the Swiss Cancer Research Foundation provided funding. The investigators reported having no conflicts of interest.
SOURCE: Selby K et al. Gastroenterology. 2019 Aug 22. doi: 10.1053/j.gastro.2019.08.023.
Thresholds for positivity affected the sensitivity and (to a lesser extent) the specificity of quantitative fecal immunochemical tests used in the detection of colorectal cancer, which suggests that centers should consider lowering their thresholds for positivity if they have sufficient resources to handle an increase in follow-up colonoscopies, researchers wrote in Gastroenterology.
“Additional data are needed regarding the influence of sex and age on test performance,” wrote Kevin Selby, MD, of Kaiser Permanente Division of Research in Oakland, Calif., together with his associates. Additional studies also should evaluate the effect of a quantitative threshold of 10 mcg of hemoglobin per gram of feces and multiple rounds of annual testing, they added.
Fecal immunochemical tests (FITs) are recommended for colorectal cancer screening because they are diagnostically superior and are associated with higher participation rates, compared with guaiac fecal occult blood tests, the investigators noted. For screening, the optimal positivity threshold for quantitative FIT remains controversial, is likely to vary by sex and age, and also may be adjusted to reflect local health care resources. To more closely evaluate the correlates and effects of FIT cutoffs for sensitivity, the researchers searched MEDLINE, EMBASE, and the Database of Abstracts of Reviews of Effects for articles on the use of FIT for asymptomatic (screening) colorectal cancer detection in adults. This method identified 46 studies with 2.4 million participants and 6,478 detected cancers. The researchers then calculated sensitivity, specificity, numbers of detected cancers, advanced adenomas, and positive test results at positivity thresholds of up to 10 mcg, 10-20 mcg, 20-30 mcg, and more than 30 mcg of hemoglobin per gram of feces. They also examined subgroups stratified by sex and age.
The pooled sensitivity for the detection of colorectal cancer rose from 69% (95% confidence interval, 63%-75%) at a positivity threshold of more than 10 and up to 20 mcg of hemoglobin per gram of feces, to 80% at a positivity threshold of 10 mcg or less of hemoglobin per gram of feces. “At these [same] threshold values, sensitivity for detection of advanced adenomas increased from 21% (95% CI, 18%-25%) to 31% (95% CI, 27%-35%), whereas specificity decreased from 94% (95% CI, 93%-96%) to 91% (95% CI, 89%-93%),” the researchers wrote.
Only three studies stratified results by sex, and these found no statistical difference in pooled sensitivity for detecting colorectal cancer among men (77%) versus women (81%). Age, too, was stratified in only three studies and did not significantly correlate with sensitivity. “More research is needed to precisely establish FIT thresholds for each sex and age subgroup,” the researchers said.
The National Cancer Institute and the Swiss Cancer Research Foundation provided funding. The investigators reported having no conflicts of interest.
SOURCE: Selby K et al. Gastroenterology. 2019 Aug 22. doi: 10.1053/j.gastro.2019.08.023.
FROM GASTROENTEROLOGY
FDA approves Ziextenzo for neutropenia-related infection reduction
The Food and Drug Administration has approved the biosimilar Ziextenzo (pegfilgrastim-bmez) to reduce the incidence of infection in patients with nonmyeloid cancer receiving suppressive anticancer drugs that are associated with febrile neutropenia.
More than 60,000 cancer patients are hospitalized in the United States each year with evidence of neutropenia, resulting in more than 4,000 deaths, according to Ziextenzo maker Sandoz, a Novartis division.
The FDA approval was based on analytical, preclinical, and clinical research, including data from a three-way pharmacokinetics and pharmacodynamics study that compared pegfilgrastim-bmez with the reference drug pegfilgrastim (Neulasta) from the United States and the European Union. Pharmacokinetic and pharmacodynamic similarity were shown between pegfilgrastim-bmez with the reference drugs, and there were no clinically significant differences in safety or immunogenicity.
The most common adverse events associated with pegfilgrastim-bmez are bone pain and pain in the extremities, according to the label.
The Food and Drug Administration has approved the biosimilar Ziextenzo (pegfilgrastim-bmez) to reduce the incidence of infection in patients with nonmyeloid cancer receiving suppressive anticancer drugs that are associated with febrile neutropenia.
More than 60,000 cancer patients are hospitalized in the United States each year with evidence of neutropenia, resulting in more than 4,000 deaths, according to Ziextenzo maker Sandoz, a Novartis division.
The FDA approval was based on analytical, preclinical, and clinical research, including data from a three-way pharmacokinetics and pharmacodynamics study that compared pegfilgrastim-bmez with the reference drug pegfilgrastim (Neulasta) from the United States and the European Union. Pharmacokinetic and pharmacodynamic similarity were shown between pegfilgrastim-bmez with the reference drugs, and there were no clinically significant differences in safety or immunogenicity.
The most common adverse events associated with pegfilgrastim-bmez are bone pain and pain in the extremities, according to the label.
The Food and Drug Administration has approved the biosimilar Ziextenzo (pegfilgrastim-bmez) to reduce the incidence of infection in patients with nonmyeloid cancer receiving suppressive anticancer drugs that are associated with febrile neutropenia.
More than 60,000 cancer patients are hospitalized in the United States each year with evidence of neutropenia, resulting in more than 4,000 deaths, according to Ziextenzo maker Sandoz, a Novartis division.
The FDA approval was based on analytical, preclinical, and clinical research, including data from a three-way pharmacokinetics and pharmacodynamics study that compared pegfilgrastim-bmez with the reference drug pegfilgrastim (Neulasta) from the United States and the European Union. Pharmacokinetic and pharmacodynamic similarity were shown between pegfilgrastim-bmez with the reference drugs, and there were no clinically significant differences in safety or immunogenicity.
The most common adverse events associated with pegfilgrastim-bmez are bone pain and pain in the extremities, according to the label.
VA Boston Healthcare System First Friday Faculty Development Presentation Series
The US Department of Veterans Affairs (VA) trains a large number of learners from across multiple health care professions— more than 122,000 in 2017.1 The VA has affiliation agreements with almost all American medical schools (97%), and annually about one-third of all medical residents in the US train at VA academic medical centers (AMCs).1,2 The VA also trains learners in more than 40 health care professions from >1,800 training programs.1,3 This large commitment to training aides the recruitment of these learners as VA clinicians. In fact, a high percentage of current VA clinicians previously trained at the VA. For example, 60% of VA physicians and about 70% of both VA optometrists and psychologists trained at the VA.1
Given the large scope of training experiences and the impact on future employment, it is critical that VA educators provide a highquality learning experience for trainees. To do this, VA educators need both initial and ongoing education and support to grow and develop as teachers and as supervisors.4 Few educators currently report receiving this type of training, which includes effectively providing feedback to trainees, assessing trainee learning, and teaching on interprofessional teams.5
Numerous benefits to the AMC may be realized when a structured approach to faculty development is implemented. Systematic literature reviews of such approaches found that faculty members were satisfied with programming and that the content of programing was useful and relevant to their teaching.6,7 Faculty reported increased positive attitudes toward faculty development and toward teaching, increased knowledge of educational principles, greater establishment of faculty networks, and positive changes in teaching behavior (as identified by faculty and students).6,7 Further, participating in faculty development programming increased teaching effectiveness.6-8 Faculty development programs also provided direct and indirect financial benefits to the AMC and may lead to increased patient safety, increased patient satisfaction with care, and higher quality of care.9,10 Faculty development programming can be delivered via an online system that is as effective as face-to-face trainings and is more cost-efficient than are face-to-face trainings, particularly for educators at rural sites.11
Methods
The VA Boston Healthcare System (VABHS) is a large AMC with more than 350 academic affiliations, 500 faculty members, and 3200 trainees from a wide range of health care professions. Despite this robust presence of trainees, like many other AMCs, in 2014 VABHS lacked a structured approach to faculty development programming.12,13
To realize the potential benefits of this programming, VABHS developed a framework to conceptualize multiple components of faculty development programming. The framework focused on faculty development activities in 5 areas: teaching, research, awards, interprofessional, networking (TRAIN).14 The TRAIN framework allowed VABHS to develop specific faculty development programs in a strategic and organized manner.
In this article, we describe the VABHS First Friday Faculty Development Presentation series, a faculty development program that was created to improve teaching and supervising skill. The presentation series began in 2014. Faculty members at all 3 VABHS campuses participated in the presentations either in-person or via videoconference. Over time, faculty members at other New England VA AMCs began to express interest in participating, and audio and videoconferences were used to allow participation from those sites.
The program soon developed a national audience. In January 2017, this program provided the opportunity for faculty members to earn continuing education (CE) credits for participation. This allowed faculty members a unique opportunity to earn CE for presentations specifically geared toward improving skills as an educator, which is not widely available—particularly at rural and remote VA sites.
Presentations were 1 hour and held on the first Friday of the month at 12 pm Eastern Standard time. Topics for the presentations were identified through formal and informal needs assessments of faculty and through faculty development needs identified in the literature. Presentation topics consistent with the components of the TRAIN framework were selected. The cost to develop the program was largely related to time spent by presentation organizers to arrange speakers, advertise the presentations, develop a protocol for the use of the technology, and apply for accreditation for participants to receive CE credits.
Presenters were educators from a range of health care professions, including physicians, psychologists, nurses, and other professions from VABHS and neighboring Boston-area AMCs. Topics included providing feedback to learners, using active learning strategies, teaching clinical thinking, reducing burnout among educators, managing work-life balance, and developing interprofessional learning curricula. Presentations are archived online.
Results
From January 2017 to June 2018, 869 CE credits were earned by faculty members at VA AMCs nationwide for participating in this faculty development program, including 359 credits for nurses (41.3%), 164 credits for pharmacists (18.9%), 128 credits for physicians (14.7%), 67 credits for social workers (7.7%), and 54 credits for psychologists (6.2%). Other CE credits were earned by dieticians (14), dentists (13), speech pathologists (3), and occupational therapists (2), and other health care professionals (65).
Participants completed satisfaction surveys, responding to 9 questions using a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree) (Table). Data collection practices were reviewed by the VABHS Internal Review Board, which determined that the data did not meet the definition of human subject research and did not require further review.
Participants were asked 2 additional questions to further assess the programming. Seven hundred forty-eight participants responded to the question “How much did you learn as a result of this CE program?” using Likert-scale responses (1 = very little to 5 = great deal): 56.6% responded with a 4, (fair amount), and 21.5% responded with a 5 (great deal). Participants also were asked whether the content of this CE program was useful for their practice or other professional development (1 = not useful to 5 = extremely useful). Seven hundred forty-nine participants responded with a 4 (useful), and 25.4% of participants responded with a 5 (extremely useful).
Discussion
Overall, participants reported that the presentations were effective in teaching content, they acquired new knowledge, and they can apply this knowledge in future teaching. Participants reported satisfaction with the training activities and that the content was presented in a fair and unbiased manner. Further, they reported the training environment was effective, and they would recommend the training to others.
Conclusion
VABHS will continue to identify mechanisms to further disseminate and enhance this programming, particularly in rural areas, where there is a shortage of faculty development programming.2 We will continue to assess the impact of these presentations on many factors, including patient safety and veteran satisfaction with their health care. We will also seek to understand how many total participants attend each presentation, as we currently have data only from participants who completed the satisfaction survey.
We invite faculty members from all VA AMCs and training sites to attend future presentations. Information about upcoming presentations is disseminated across multiple VA listservs; you can also e-mail the authors to receive notification of future presentations.
1. US Department of Veterans Affairs, Office of Academic Affiliations. 2017 statistics: health professions trainees. https://www.va.gov/OAA/docs/OAA_Statistics.pdf. Accessed September 6, 2019.
2. Chang BK, Brannen JL. The Veterans Access, Choice, and Accountability Act of 2014: examining graduate medical education enhancement in the Department of Veterans Affairs. Acad Med. 2015;90(9):1196-1198.
3. Lee J, Sanders K, Cox M. Honoring those who have served: how can health professionals provide optimal care for members of the military, veterans, and their families? Acad Med. 2014;89(9):1198-1200.
4. Houston TK, Ferenchick GS, Clark JM, et al. Faculty development needs. J Gen Intern Med. 2004;19(4):375-379.
5. Holmboe ES, Ward DS, Reznick RK, et al. Faculty development in assessment: the missing link in competency based medical education. Acad Med. 2011;86(4):460-467.
6. Steinert Y, Mann K, Centeno A, et al. A systematic review of faculty development initiatives designed to improve teaching effectiveness in medical education: BEME Guide No. 8. Med Teach. 2006;28(6):497-526.
7. Steinert Y, Mann K, Anderson B, et al. A systematic review of faculty development initiatives designed to enhance teaching effectiveness: A 10-year update: BEME Guide No. 40. Med Teach. 2016;38(8):769-786.
8. Lee SM, Lee MC, Reed DA, et al. Success of a faculty development program for teachers at the Mayo Clinic. J Grad Med Educ. 2014;6(4):704-708.
9. Topor DR, Roberts DH. Faculty development programming at academic medical centers: identifying financial benefits and value. Med Sci Educ. 2016;26(3):417-419.
10. Starmer AJ, Spector ND, Srivastava R, et al; I-PASS Study Group. Changes in medical errors after implementation of a handoff program. N Engl J Med. 2014;371(19):1803-1812.
11. Maloney S, Haas R, Keating JL, et al. Breakeven, cost benefit, cost effectiveness, and willingness to pay for web-based versus face-to-face education delivery for health professionals. J Med Internet Res. 2012;14(2):e47.
12. Clark JM, Houston TK, Kolodner K, Branch WT, Levine RB, Kern DE. Teaching the teachers: national survey of faculty development in departments of medicine of U.S. teaching hospitals. J Gen Intern Med. 2004;19(3):205-214.
13. Hatem CJ, Lown BA, Newman LR. The academic health center coming of age: helping faculty become better teachers and agents of educational change. Acad Med. 2006;81(11):941-944.
14. Topor DR, Budson AE. A framework for faculty development programming at VA and non-VA Academic Medical.
The US Department of Veterans Affairs (VA) trains a large number of learners from across multiple health care professions— more than 122,000 in 2017.1 The VA has affiliation agreements with almost all American medical schools (97%), and annually about one-third of all medical residents in the US train at VA academic medical centers (AMCs).1,2 The VA also trains learners in more than 40 health care professions from >1,800 training programs.1,3 This large commitment to training aides the recruitment of these learners as VA clinicians. In fact, a high percentage of current VA clinicians previously trained at the VA. For example, 60% of VA physicians and about 70% of both VA optometrists and psychologists trained at the VA.1
Given the large scope of training experiences and the impact on future employment, it is critical that VA educators provide a highquality learning experience for trainees. To do this, VA educators need both initial and ongoing education and support to grow and develop as teachers and as supervisors.4 Few educators currently report receiving this type of training, which includes effectively providing feedback to trainees, assessing trainee learning, and teaching on interprofessional teams.5
Numerous benefits to the AMC may be realized when a structured approach to faculty development is implemented. Systematic literature reviews of such approaches found that faculty members were satisfied with programming and that the content of programing was useful and relevant to their teaching.6,7 Faculty reported increased positive attitudes toward faculty development and toward teaching, increased knowledge of educational principles, greater establishment of faculty networks, and positive changes in teaching behavior (as identified by faculty and students).6,7 Further, participating in faculty development programming increased teaching effectiveness.6-8 Faculty development programs also provided direct and indirect financial benefits to the AMC and may lead to increased patient safety, increased patient satisfaction with care, and higher quality of care.9,10 Faculty development programming can be delivered via an online system that is as effective as face-to-face trainings and is more cost-efficient than are face-to-face trainings, particularly for educators at rural sites.11
Methods
The VA Boston Healthcare System (VABHS) is a large AMC with more than 350 academic affiliations, 500 faculty members, and 3200 trainees from a wide range of health care professions. Despite this robust presence of trainees, like many other AMCs, in 2014 VABHS lacked a structured approach to faculty development programming.12,13
To realize the potential benefits of this programming, VABHS developed a framework to conceptualize multiple components of faculty development programming. The framework focused on faculty development activities in 5 areas: teaching, research, awards, interprofessional, networking (TRAIN).14 The TRAIN framework allowed VABHS to develop specific faculty development programs in a strategic and organized manner.
In this article, we describe the VABHS First Friday Faculty Development Presentation series, a faculty development program that was created to improve teaching and supervising skill. The presentation series began in 2014. Faculty members at all 3 VABHS campuses participated in the presentations either in-person or via videoconference. Over time, faculty members at other New England VA AMCs began to express interest in participating, and audio and videoconferences were used to allow participation from those sites.
The program soon developed a national audience. In January 2017, this program provided the opportunity for faculty members to earn continuing education (CE) credits for participation. This allowed faculty members a unique opportunity to earn CE for presentations specifically geared toward improving skills as an educator, which is not widely available—particularly at rural and remote VA sites.
Presentations were 1 hour and held on the first Friday of the month at 12 pm Eastern Standard time. Topics for the presentations were identified through formal and informal needs assessments of faculty and through faculty development needs identified in the literature. Presentation topics consistent with the components of the TRAIN framework were selected. The cost to develop the program was largely related to time spent by presentation organizers to arrange speakers, advertise the presentations, develop a protocol for the use of the technology, and apply for accreditation for participants to receive CE credits.
Presenters were educators from a range of health care professions, including physicians, psychologists, nurses, and other professions from VABHS and neighboring Boston-area AMCs. Topics included providing feedback to learners, using active learning strategies, teaching clinical thinking, reducing burnout among educators, managing work-life balance, and developing interprofessional learning curricula. Presentations are archived online.
Results
From January 2017 to June 2018, 869 CE credits were earned by faculty members at VA AMCs nationwide for participating in this faculty development program, including 359 credits for nurses (41.3%), 164 credits for pharmacists (18.9%), 128 credits for physicians (14.7%), 67 credits for social workers (7.7%), and 54 credits for psychologists (6.2%). Other CE credits were earned by dieticians (14), dentists (13), speech pathologists (3), and occupational therapists (2), and other health care professionals (65).
Participants completed satisfaction surveys, responding to 9 questions using a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree) (Table). Data collection practices were reviewed by the VABHS Internal Review Board, which determined that the data did not meet the definition of human subject research and did not require further review.
Participants were asked 2 additional questions to further assess the programming. Seven hundred forty-eight participants responded to the question “How much did you learn as a result of this CE program?” using Likert-scale responses (1 = very little to 5 = great deal): 56.6% responded with a 4, (fair amount), and 21.5% responded with a 5 (great deal). Participants also were asked whether the content of this CE program was useful for their practice or other professional development (1 = not useful to 5 = extremely useful). Seven hundred forty-nine participants responded with a 4 (useful), and 25.4% of participants responded with a 5 (extremely useful).
Discussion
Overall, participants reported that the presentations were effective in teaching content, they acquired new knowledge, and they can apply this knowledge in future teaching. Participants reported satisfaction with the training activities and that the content was presented in a fair and unbiased manner. Further, they reported the training environment was effective, and they would recommend the training to others.
Conclusion
VABHS will continue to identify mechanisms to further disseminate and enhance this programming, particularly in rural areas, where there is a shortage of faculty development programming.2 We will continue to assess the impact of these presentations on many factors, including patient safety and veteran satisfaction with their health care. We will also seek to understand how many total participants attend each presentation, as we currently have data only from participants who completed the satisfaction survey.
We invite faculty members from all VA AMCs and training sites to attend future presentations. Information about upcoming presentations is disseminated across multiple VA listservs; you can also e-mail the authors to receive notification of future presentations.
The US Department of Veterans Affairs (VA) trains a large number of learners from across multiple health care professions— more than 122,000 in 2017.1 The VA has affiliation agreements with almost all American medical schools (97%), and annually about one-third of all medical residents in the US train at VA academic medical centers (AMCs).1,2 The VA also trains learners in more than 40 health care professions from >1,800 training programs.1,3 This large commitment to training aides the recruitment of these learners as VA clinicians. In fact, a high percentage of current VA clinicians previously trained at the VA. For example, 60% of VA physicians and about 70% of both VA optometrists and psychologists trained at the VA.1
Given the large scope of training experiences and the impact on future employment, it is critical that VA educators provide a highquality learning experience for trainees. To do this, VA educators need both initial and ongoing education and support to grow and develop as teachers and as supervisors.4 Few educators currently report receiving this type of training, which includes effectively providing feedback to trainees, assessing trainee learning, and teaching on interprofessional teams.5
Numerous benefits to the AMC may be realized when a structured approach to faculty development is implemented. Systematic literature reviews of such approaches found that faculty members were satisfied with programming and that the content of programing was useful and relevant to their teaching.6,7 Faculty reported increased positive attitudes toward faculty development and toward teaching, increased knowledge of educational principles, greater establishment of faculty networks, and positive changes in teaching behavior (as identified by faculty and students).6,7 Further, participating in faculty development programming increased teaching effectiveness.6-8 Faculty development programs also provided direct and indirect financial benefits to the AMC and may lead to increased patient safety, increased patient satisfaction with care, and higher quality of care.9,10 Faculty development programming can be delivered via an online system that is as effective as face-to-face trainings and is more cost-efficient than are face-to-face trainings, particularly for educators at rural sites.11
Methods
The VA Boston Healthcare System (VABHS) is a large AMC with more than 350 academic affiliations, 500 faculty members, and 3200 trainees from a wide range of health care professions. Despite this robust presence of trainees, like many other AMCs, in 2014 VABHS lacked a structured approach to faculty development programming.12,13
To realize the potential benefits of this programming, VABHS developed a framework to conceptualize multiple components of faculty development programming. The framework focused on faculty development activities in 5 areas: teaching, research, awards, interprofessional, networking (TRAIN).14 The TRAIN framework allowed VABHS to develop specific faculty development programs in a strategic and organized manner.
In this article, we describe the VABHS First Friday Faculty Development Presentation series, a faculty development program that was created to improve teaching and supervising skill. The presentation series began in 2014. Faculty members at all 3 VABHS campuses participated in the presentations either in-person or via videoconference. Over time, faculty members at other New England VA AMCs began to express interest in participating, and audio and videoconferences were used to allow participation from those sites.
The program soon developed a national audience. In January 2017, this program provided the opportunity for faculty members to earn continuing education (CE) credits for participation. This allowed faculty members a unique opportunity to earn CE for presentations specifically geared toward improving skills as an educator, which is not widely available—particularly at rural and remote VA sites.
Presentations were 1 hour and held on the first Friday of the month at 12 pm Eastern Standard time. Topics for the presentations were identified through formal and informal needs assessments of faculty and through faculty development needs identified in the literature. Presentation topics consistent with the components of the TRAIN framework were selected. The cost to develop the program was largely related to time spent by presentation organizers to arrange speakers, advertise the presentations, develop a protocol for the use of the technology, and apply for accreditation for participants to receive CE credits.
Presenters were educators from a range of health care professions, including physicians, psychologists, nurses, and other professions from VABHS and neighboring Boston-area AMCs. Topics included providing feedback to learners, using active learning strategies, teaching clinical thinking, reducing burnout among educators, managing work-life balance, and developing interprofessional learning curricula. Presentations are archived online.
Results
From January 2017 to June 2018, 869 CE credits were earned by faculty members at VA AMCs nationwide for participating in this faculty development program, including 359 credits for nurses (41.3%), 164 credits for pharmacists (18.9%), 128 credits for physicians (14.7%), 67 credits for social workers (7.7%), and 54 credits for psychologists (6.2%). Other CE credits were earned by dieticians (14), dentists (13), speech pathologists (3), and occupational therapists (2), and other health care professionals (65).
Participants completed satisfaction surveys, responding to 9 questions using a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree) (Table). Data collection practices were reviewed by the VABHS Internal Review Board, which determined that the data did not meet the definition of human subject research and did not require further review.
Participants were asked 2 additional questions to further assess the programming. Seven hundred forty-eight participants responded to the question “How much did you learn as a result of this CE program?” using Likert-scale responses (1 = very little to 5 = great deal): 56.6% responded with a 4, (fair amount), and 21.5% responded with a 5 (great deal). Participants also were asked whether the content of this CE program was useful for their practice or other professional development (1 = not useful to 5 = extremely useful). Seven hundred forty-nine participants responded with a 4 (useful), and 25.4% of participants responded with a 5 (extremely useful).
Discussion
Overall, participants reported that the presentations were effective in teaching content, they acquired new knowledge, and they can apply this knowledge in future teaching. Participants reported satisfaction with the training activities and that the content was presented in a fair and unbiased manner. Further, they reported the training environment was effective, and they would recommend the training to others.
Conclusion
VABHS will continue to identify mechanisms to further disseminate and enhance this programming, particularly in rural areas, where there is a shortage of faculty development programming.2 We will continue to assess the impact of these presentations on many factors, including patient safety and veteran satisfaction with their health care. We will also seek to understand how many total participants attend each presentation, as we currently have data only from participants who completed the satisfaction survey.
We invite faculty members from all VA AMCs and training sites to attend future presentations. Information about upcoming presentations is disseminated across multiple VA listservs; you can also e-mail the authors to receive notification of future presentations.
1. US Department of Veterans Affairs, Office of Academic Affiliations. 2017 statistics: health professions trainees. https://www.va.gov/OAA/docs/OAA_Statistics.pdf. Accessed September 6, 2019.
2. Chang BK, Brannen JL. The Veterans Access, Choice, and Accountability Act of 2014: examining graduate medical education enhancement in the Department of Veterans Affairs. Acad Med. 2015;90(9):1196-1198.
3. Lee J, Sanders K, Cox M. Honoring those who have served: how can health professionals provide optimal care for members of the military, veterans, and their families? Acad Med. 2014;89(9):1198-1200.
4. Houston TK, Ferenchick GS, Clark JM, et al. Faculty development needs. J Gen Intern Med. 2004;19(4):375-379.
5. Holmboe ES, Ward DS, Reznick RK, et al. Faculty development in assessment: the missing link in competency based medical education. Acad Med. 2011;86(4):460-467.
6. Steinert Y, Mann K, Centeno A, et al. A systematic review of faculty development initiatives designed to improve teaching effectiveness in medical education: BEME Guide No. 8. Med Teach. 2006;28(6):497-526.
7. Steinert Y, Mann K, Anderson B, et al. A systematic review of faculty development initiatives designed to enhance teaching effectiveness: A 10-year update: BEME Guide No. 40. Med Teach. 2016;38(8):769-786.
8. Lee SM, Lee MC, Reed DA, et al. Success of a faculty development program for teachers at the Mayo Clinic. J Grad Med Educ. 2014;6(4):704-708.
9. Topor DR, Roberts DH. Faculty development programming at academic medical centers: identifying financial benefits and value. Med Sci Educ. 2016;26(3):417-419.
10. Starmer AJ, Spector ND, Srivastava R, et al; I-PASS Study Group. Changes in medical errors after implementation of a handoff program. N Engl J Med. 2014;371(19):1803-1812.
11. Maloney S, Haas R, Keating JL, et al. Breakeven, cost benefit, cost effectiveness, and willingness to pay for web-based versus face-to-face education delivery for health professionals. J Med Internet Res. 2012;14(2):e47.
12. Clark JM, Houston TK, Kolodner K, Branch WT, Levine RB, Kern DE. Teaching the teachers: national survey of faculty development in departments of medicine of U.S. teaching hospitals. J Gen Intern Med. 2004;19(3):205-214.
13. Hatem CJ, Lown BA, Newman LR. The academic health center coming of age: helping faculty become better teachers and agents of educational change. Acad Med. 2006;81(11):941-944.
14. Topor DR, Budson AE. A framework for faculty development programming at VA and non-VA Academic Medical.
1. US Department of Veterans Affairs, Office of Academic Affiliations. 2017 statistics: health professions trainees. https://www.va.gov/OAA/docs/OAA_Statistics.pdf. Accessed September 6, 2019.
2. Chang BK, Brannen JL. The Veterans Access, Choice, and Accountability Act of 2014: examining graduate medical education enhancement in the Department of Veterans Affairs. Acad Med. 2015;90(9):1196-1198.
3. Lee J, Sanders K, Cox M. Honoring those who have served: how can health professionals provide optimal care for members of the military, veterans, and their families? Acad Med. 2014;89(9):1198-1200.
4. Houston TK, Ferenchick GS, Clark JM, et al. Faculty development needs. J Gen Intern Med. 2004;19(4):375-379.
5. Holmboe ES, Ward DS, Reznick RK, et al. Faculty development in assessment: the missing link in competency based medical education. Acad Med. 2011;86(4):460-467.
6. Steinert Y, Mann K, Centeno A, et al. A systematic review of faculty development initiatives designed to improve teaching effectiveness in medical education: BEME Guide No. 8. Med Teach. 2006;28(6):497-526.
7. Steinert Y, Mann K, Anderson B, et al. A systematic review of faculty development initiatives designed to enhance teaching effectiveness: A 10-year update: BEME Guide No. 40. Med Teach. 2016;38(8):769-786.
8. Lee SM, Lee MC, Reed DA, et al. Success of a faculty development program for teachers at the Mayo Clinic. J Grad Med Educ. 2014;6(4):704-708.
9. Topor DR, Roberts DH. Faculty development programming at academic medical centers: identifying financial benefits and value. Med Sci Educ. 2016;26(3):417-419.
10. Starmer AJ, Spector ND, Srivastava R, et al; I-PASS Study Group. Changes in medical errors after implementation of a handoff program. N Engl J Med. 2014;371(19):1803-1812.
11. Maloney S, Haas R, Keating JL, et al. Breakeven, cost benefit, cost effectiveness, and willingness to pay for web-based versus face-to-face education delivery for health professionals. J Med Internet Res. 2012;14(2):e47.
12. Clark JM, Houston TK, Kolodner K, Branch WT, Levine RB, Kern DE. Teaching the teachers: national survey of faculty development in departments of medicine of U.S. teaching hospitals. J Gen Intern Med. 2004;19(3):205-214.
13. Hatem CJ, Lown BA, Newman LR. The academic health center coming of age: helping faculty become better teachers and agents of educational change. Acad Med. 2006;81(11):941-944.
14. Topor DR, Budson AE. A framework for faculty development programming at VA and non-VA Academic Medical.
2019 Rare Cancers Special Report
Systemic Medications Linked to an Increased Risk for Skin Malignancy
Dermatologists are increasingly called on to evaluate patients with complex medical problems who are often taking many medications. Over the last several decades, many new drugs that target molecular pathways in carcinogenesis and the inflammatory immune system have been developed. Increased skin cancer risk has been reported in association with BRAF inhibitors, sonic hedgehog–inhibiting agents, Janus kinase (JAK) inhibitors, and phosphodiesterase 5 (PDE-5) inhibitors. We review the literature and data regarding the significance and strength of these associations and the molecular pathways by which these medications promote cutaneous tumorigenesis. The association of skin cancer with drugs that either induce photosensitivity—nonsteroidal anti-inflammatory drugs, antibiotics (eg, tetracyclines, fluoroquinolones, trimethoprim-sulfamethoxazole), voriconazole, thiazides—or suppress the immune system—certain biologics (eg, anti–tumor necrosis factor agents), calcineurin inhibitors, thiopurines, methotrexate, cyclosporine—is well known and is therefore not reviewed in this discussion.
BRAF Inhibitors
The mitogen-activated protein kinase (MAPK) pathway (also known as the RAS/RAF/MAPK signaling pathway) is important in growth factor–receptor signaling and plays a key role in cell differentiation, survival, and proliferation. Activating mutations in this pathway allow cells to grow and proliferate in a growth factor–independent manner. Twenty percent of human cancers harbor a mutation in the RAS oncogene, an upstream mediator of the pathway.1 Activating mutations in BRAF, a serine/threonine kinase, predominate in cutaneous melanoma and also have been found in 40% to 70% of papillary thyroid malignancies, 10% to 20% of cholangiocarcinomas, and 5% to 20% of colorectal carcinomas. The most common BRAF mutation in cutaneous melanoma is V600E, which involves a glutamic acid for valine substitution at codon 600. This mutation activates BRAF 500-fold and is present in approximately 50% of melanomas.1,2
Vemurafenib, a selective BRAF inhibitor, was approved by the US Food and Drug Administration (FDA) for the treatment of metastatic melanoma in the United States in 2011. Phase 3 trial data demonstrated that vemurafenib resulted in improved survival and decreased risk for disease progression compared to dacarbazine, the former best treatment.3 During phase 1 testing, it became apparent that vemurafenib treatment was associated with a 31% increased risk for squamous cell carcinoma (SCC), most commonly well-differentiated SCC, and keratoacanthomas (KAs).4 This association was confirmed in phase 2 and 3 studies, though the incidence was lower. McArthur et al5 reported a 19% incidence of cutaneous SCC with extended follow-up analysis of the phase 3 trial. Dabrafenib, another BRAF inhibitor, has been similarly associated with increasing the risk for SCC and KA.
In one study, the mean time to development of SCC after initiating vemurafenib therapy was 10 weeks, with lesions reported as early as 3 weeks. Most patients had clinical signs of chronically sun damaged skin; however, a history of SCC was present in only 17%. Most lesions (63%) were characterized as KAs.6
The mechanism for BRAF inhibitor–induced squamoproliferative growth is due to paradoxical activation of the MAPK pathway in cells with wild-type BRAF that harbor upstream-activating mutations in RAS or tyrosine kinase receptors.7 In the presence of a BRAF inhibitor, inactivated BRAF forms heterodimers with wild-type CRAF (a BRAF-CRAF heterodimer). The heterodimer forms a complex with the mutant RAS that leads to transactivation of the CRAF molecule,8,9 resulting in a paradoxical increase in MAPK signaling and consequent ERK phosphorylation and activation through CRAF signaling. RAS, particularly HRAS, mutations have been found in 60% of all vemurafenib-associated SCCs and KAs. For this reason, it is thought that vemurafenib potentiates tumorigenesis in subclinical lesions harboring upstream MAPK pathway mutations as opposed to inducing de novo lesions.6
Because BRAF inhibitors are remarkably efficacious in the treatment of metastatic melanomas harboring the V600E BRAF mutation, there are no restrictions on their use, despite the known increased risk for SCC. Squamous cell carcinomas tend to be low grade, and all tumors that developed in phase 1 to 3 trials were treated with simple excision. The development of SCC did not necessitate interruption of treatment. Furthermore, the addition of MEK inhibition to BRAF inhibitor therapy reduces the risk for SCC from 19% to 7%.7,10,11
In addition to SCC, second primary melanomas (SPMs) have been reported in patients treated with BRAF inhibitors. It has been shown that these melanomas occur in melanocytes with wild-type BRAF. It has been postulated that some of these tumors occur in cells that harbor upstream mutations in RAS, whereas others might result from alternate signaling through non-RAF oncogenic pathways.9,12
Zimmer et al1 reported 12 SPMs in 11 patients treated with BRAF inhibitor therapy. They reported a median delay of 8 weeks (range, 4–27 weeks) for SPM development. Tumors were detected in early stages; 1 tumor harbored an NRAS mutation.1
Dalle et al13 reported 25 SPMs in 120 vemurafenib-treated patients. Median delay in SPM development was 14 weeks (range, 4–42 weeks). All tumors were thin, ranging from in situ to 0.45-mm thick. Wild-type BRAF was detected in the 21 melanomas sampled; 1 lesion showed mutated NRAS.13
The exact incidence of SPM in the setting of BRAF inhibition is thought to be at least 10-fold less than SCC and KA.2 Patients on BRAF inhibitor therapy should have routine full-body skin examinations, given the increased risk for SPM and SCC.
Another drug belonging to the tyrosine kinase inhibitor family, sorafenib, is used in the treatment of solid tumors, particularly hepatocellular and renal cell carcinomas, and also has been associated with development of cutaneous SCC and KAs.14 Sorafenib is a multiple tyrosine kinase inhibitor that also inhibits the RAF serine/threonine kinases. Similar to vemurafenib and dabrafenib, SCCs and KAs associated with sorafenib tend to arise in patients with chronic actinic damage during the first 2 months of treatment. It has been hypothesized that inhibition of RAF kinases is pathogenic in inducing SCCs because these lesions have not been reported with sunitinib, another multiple tyrosine kinase inhibitor that lacks the ability to inhibit serine/threonine kinases.15,16 Although SCCs and KAs associated with sorafenib tend to be low grade, it is reasonable to consider sunitinib or an alternative tyrosine kinase inhibitor in patients who develop multiple SCCs while taking sorafenib.16
Sonic Hedgehog–Inhibiting Agents
Vismodegib, the first small molecule inhibitor of the signaling protein smoothened, gained FDA approval for the treatment of metastatic or locally advanced basal cell carcinoma (BCC) in 2012. A second agent with an identical mechanism of action, sonidegib, was approved by the FDA for locally advanced BCC in 2015. Approximately 90% of BCCs contain mutations in the sonic hedgehog pathway, which lead to constitutive smoothened activation and uncontrolled cell proliferation.17 The development of smoothened inhibitors introduced a much-needed treatment for inoperable or metastatic BCC,17,18 though long-term utility is limited by drug resistance with extended use in this patient population.19,20 Several case reports have documented the emergence of KA21 and cutaneous SCC following vismodegib treatment of advanced or metastatic BCC.22-24 A larger case-control study by Mohan et al25 showed that patients with BCC treated with vismodegib had an increased risk for non-BCC malignancy (hazard ratio [HR]=6.37), most of which were cutaneous SCC (HR=8.12).
The mechanism by which selective inhibition of smoothened leads to cutaneous SCC is unclear. A study found that patients on vismodegib who developed SCC within the original BCC site had elevated ERK levels within tumor tissue, suggesting that the RAS/RAF/MAPK pathway can become upregulated during hedgehog inhibition.26 Other studies looking at hedgehog inhibition in medulloblastoma models also have shown activated RAS/RAF/MAPK pathways.25 These findings suggest that tumors under smoothened inhibition might be able to bypass the sonic hedgehog pathway and continue to grow by upregulating alternative growth pathways, such as RAS/RAF/MAPK.25,26
The incidence of cutaneous SCC following vismodegib treatment is unknown. Chang and Oro27 examined BCC tumor regrowth from secondary (acquired) resistance to vismodegib and noted that lesions recurred within 1 cm of the original tumor 21% of the time. Although none of the 12 patients whose tumors regrew during treatment were reported to have developed SCC, several demonstrated different BCC subtypes than the pretreatment specimen. The authors proposed that regrowth of BCC was due to upregulated alternative pathways allowing tumors to bypass smoothened inhibition, which is similar to the proposed mechanism for SCC development in vismodegib patients.27
Prospective studies are needed to confirm the link between vismodegib and cutaneous SCC; establish the incidence of SCC development; and identify any pretreatment factors, tumor characteristics, or treatment details (eg, dosage, duration) that might contribute to SCC development. Furthermore, because Mohan et al25 observed that vismodegib-treated patients were less likely to develop SCC in situ than controls, it is unknown if these tumors are more aggressive than traditional SCC. At this point, careful surveillance and regular full-body skin examinations are advised for patients on vismodegib for treatment of advanced BCC.
JAK Inhibitors
Another class of medications potentially associated with increased development of nonmelanoma skin cancer (NMSC) is the JAK inhibitors (also known as jakinibs). Many proinflammatory signaling pathways converge on the JAK family of enzymes—JAK1, JAK2, JAK3, and TYK2. These enzymes operate in cytokine signal transduction by phosphorylating activated cytokine receptors, which allows for recruitment and activation by means of phosphorylation of transcription factors collectively known as signal transducers and activators of transcription (STATs). Phosphorylated STATs dimerize and translocate to the nucleus, acting as direct transcription promoters. Janus kinase inhibitors modulate the immune response by reducing the effect of interleukin and interferon signaling.
Ruxolitinib, a JAK1/JAK2 inhibitor, was the first JAK inhibitor approved by the FDA and is indicated for the treatment of myelofibrosis and polycythemia vera. Additionally, oral and topical JAK inhibitors have shown efficacy in the treatment of psoriasis, rheumatoid arthritis, alopecia areata, vitiligo, and pruritus from atopic dermatitis.28
The JAK-STAT pathway is complex, and the biological activity of the pathway is both proinflammatory and pro–cell survival and proliferation. Because signaling through the pathway can increase angiogenesis and inhibit apoptosis, inhibition of this pathway has been exploited for the treatment of some tumors. However, inhibition of interferon and proinflammatory interleukin signaling also can potentially promote tumor growth by means of inhibition of downstream cytotoxic T-cell signaling, theoretically increasing the risk for NMSC. A study examining the 5-year efficacy of ruxolitinib in myelofibrosis patients (COMFORT-II trial) found that 17.1% of patients developed NMSC compared to only 2.7% of those on the best available therapy. After adjustment by patient exposure, the NMSC rate was still doubled for ruxolitinib-treated patients compared to controls (6.1/100 patient-years and 3.0/100 patient-years, respectively).29 Eighty-week follow-up of the phase 3 clinical trial of ruxolitinib for the treatment of polycythemia vera also noted an increased incidence of NMSC, albeit a more conservative increase. Patients randomized to the ruxolitinib treatment group developed NMSC at a rate of 4.4/100 patient-years, whereas the rate for controls treated with best available therapy was 2.7/100 patient-years.30 In contrast, 5-year follow-up of the COMFORT-I trial, also examining the efficacy of ruxolitinib in myelofibrosis, showed no increased risk for NMSC between ruxolitinib-treated patients and placebo (2.7/100 patient-years and 3.9/100 patient-years, respectively).31
A 2017 case series described 5 patients with myelofibrosis who developed multiple skin cancers with aggressive features while receiving ruxolitinib.32 Duration of ruxolitinib therapy ranged from 4 months to 4 years; 3 patients had a history of hydroxyurea exposure, and only 1 patient had a history of NMSC. High-risk cutaneous SCC, undifferentiated pleomorphic sarcoma, and lentigo maligna melanoma (Breslow thickness, 0.45 mm) were among the tumors reported in this series. Although no definitive conclusion can be made regarding the causality of JAK inhibitors in promoting these tumors, the association warrants further investigation. Clinicians should be aware that ruxolitinib might amplify the risk for NMSC in patients with pre-existing genetic or exposure-related susceptibility. Interruption of drug therapy may be necessary in managing patients who develop an aggressive tumor.32
In contrast, tofacitinib, which specifically inhibits JAK3, carries very low risk, if any, for NMSC when used for the treatment of psoriasis and rheumatoid arthritis. Results from 2 phase 3 trials analyzing the efficacy of tofacitinib in psoriasis demonstrated that only 2 of 1486 patients treated developed NMSC compared to none in the control group.33 Furthermore, analysis of NMSC across the tofacitinib rheumatoid arthritis clinical program, which included a total of 15,103 patient-years of exposure, demonstrated that the overall NMSC incidence was 0.55 for every 100 patient-years. Of note, the risk in patients receiving high-dose treatment (10 mg vs 5 mg) was nearly doubled in long-term follow-up studies (0.79/100 patient-years and 0.41/100 patient-years, respectively). Overall, the study concluded that treatment with tofacitinib presents no greater increased risk for NMSC than treatment with tumor necrosis factor inhibitors.33
PDE-5 Inhibitors
Phosphodiesterase 5 inhibitors, such as sildenafil citrate, have been widely prescribed for the treatment of erectile dysfunction. Studies have shown that BRAF-activated melanomas, which occur in approximately 50% to 70% of melanomas, also result in reduced PDE-5 expression.34-36 In these melanomas, downregulation of PDE-5 results in increased intracellular calcium,36 which has been shown to induce melanoma invasion.36,37 Given this similarity in molecular pathway between BRAF-activated melanomas and PDE-5 inhibitors, there has been increased concern that PDE-5 inhibitors might be associated with an increased risk for melanoma.
In 2014, Li et al38 published a retrospective analysis suggesting an association with sildenafil and an increased risk for melanoma. Their study utilized the Health Professionals Follow-up Study to identify a statistically significant elevation in the risk for invasive melanoma with both recent sildenafil use (multivariate-adjusted HR=2.24) and use at any time (HR=1.92). These results controlled for confounding variables, such as presence of major chronic disease, use of other erectile dysfunction treatments, family history of melanoma, history of sun exposure, and UV index of the patient’s residence. Notably, the study also found that sildenafil did not affect the incidence of BCC or SCC.38
In 2015, Loeb et al39 also examined the potential association between PDE-5 inhibitors and melanoma. Review of several Swedish drug and cancer registries allowed for analysis of melanoma risk and PDE-5 inhibitor use, based on number of prescriptions filled and type of PDE-5 inhibitor prescribed. Their analysis showed that men developing melanoma were more likely than nonmelanoma controls to have taken a PDE-5 inhibitor (11% vs 8%). In a subgroup analysis, however, statistical significance was shown for men with only a single prescription filled (34% of cases; P<.05), whereas the difference for men with multiple filled prescriptions did not meet statistical significance. Furthermore, the study did not find increased risk with longer-acting tadalafil and vardenafil (odds ratio [OR]=1.16) compared to sildenafil (OR=1.14). Last, use of PDE-5 inhibitors was only associated with stage 0 (OR=1.49) and stage I (OR=1.21) tumors, not with stages II to IV (OR=0.83) tumors. Although there was a statistically significant association between PDE-5 inhibitors and malignant melanoma (P<.05), the subgroup analysis findings pointed away from a causal relationship and likely toward a confounding of variable(s).39
A 2016 study by Lian et al40 looked at the risk for melanoma in a cohort of patients diagnosed with erectile dysfunction. No association between PDE-5 inhibitors and melanoma risk was shown when comparing patients who received a PDE-5 inhibitor and those who did not receive a PDE-5 inhibitor. However, secondary analysis did show that melanoma risk was increased among patients receiving more pills (34%) and prescriptions (30%). The authors concluded that there was no association between PDE-5 inhibitor use and overall increased risk for melanoma, and the increased risk associated with a greater number of pills and prescriptions would require further study.40
In contrast, a 2017 meta-analysis by Tang et al41 of 5 studies (3 of which were the aforementioned trials38-40) concluded that use of PDE-5 inhibitors was associated with a small but significantly increased risk for melanoma (OR=1.12) and BCC (OR=1.14) but not SCC. Furthermore, the study found no evidence of dosage-dependent association between PDE-5 inhibitor use and melanoma risk.41
Overall, clinical studies have been inconclusive in determining the risk for melanoma in the setting of PDE-5 inhibitor use. Studies showing an increased rate of melanoma within patient cohorts receiving PDE-5 inhibitors are limited; results might be affected by confounding variables. However, given the similarity in mechanism between PDE-5 inhibitors and HRAS-activated melanomas, it is reasonable to continue research into this potential association.
Conclusion
Since the turn of the century, drugs targeting cell-signaling pathways have been developed to treat inflammatory, oncologic, and immune conditions. The role of immunosuppressants in promoting skin cancer is well established and supported by a vast literature base. However, associations are less clear with newer immunomodulatory and antineoplastic medications. Skin cancer has been reported in association with BRAF inhibitors, sonic hedgehog–inhibiting agents, JAK inhibitors, and PDE-5 inhibitors. In the case of JAK and PDE-5 inhibitors, the increased risk for melanoma and NMSC is somewhat inconclusive; risk is more firmly established for BRAF inhibitors and smoothened inhibitors. For the antineoplastic agents reviewed, the therapeutic effect of cancer regression is well documented, and benefits of continued therapy outweigh the increased risk for skin cancer promotion in nearly all cases. The value of early detection has been well documented for skin malignancy; therefore, increased skin surveillance and prompt management of suspicious lesions should be a priority for physicians treating patients undergoing therapy with these medications
- Zimmer L, Hillen U, Livingstone E, et al. Atypical melanocytic proliferations and new primary melanoma in patients with advanced melanoma undergoing selective BRAF inhibition. J Clin Oncol. 2012;30:2375-2383.
- Long GV, Menzies AM, Nagrial AM, et al. Prognostic and clinicopathologic associations of oncogenic BRAF in metastatic melanoma. J Clin Oncol. 2011;29:1239-1246.
- Chapman PB, Hauschild A, Robert C, et al; BRIM-3 Study Group. Improved survival with vemurafenib in melanoma with BRAF V600E mutation. N Engl J Med. 2011;364:2507-2516.
- Flaherty KT, Puzanov I, Kim KB, et al. Inhibition of mutated, activated BRAF in metastatic melanoma. N Engl J Med. 2010;363:809-819.
- McArthur GA, Chapman PB, Robert C, et al. Safety and efficacy of vemurafenib in BRAF(V600E) and BRAF(V600K) mutation-positive melanoma (BRIM-3): extended follow-up of a phase 3, randomised, open-label study. Lancet Oncol. 2014;15:323-332.
- Su F, Viros A, Milagre C, et al. RAS mutations in cutaneous squamous-cell carcinomas in patients treated with BRAF inhibitors. N Engl J Med. 2012;366:207-215.
- Carlos G, Anforth R, Clements A, et al. Cutaneous toxic effects of BRAF inhibitors alone and in combination with MEK inhibitors for metastatic melanoma. JAMA Dermatol. 2015;151:1103-1109.
- Poulikakos PI, Zhang C, Bollag G, et al. RAF inhibitors transactivate RAF dimers and ERK signalling in cells with wild-type BRAF. Nature. 2010;464:427-430.
- Ryan MB, Der CJ, Wang-Gillam A, et al. Targeting RAS-mutant cancers: is ERK the key? Trends Cancer. 2015;1:183-198.
- Long GV, Stroyakovskiy D, Gogas H, et al. Combined BRAF and MEK inhibition versus BRAF inhibition alone in melanoma. N Engl J Med. 2014;371:1877-1888.
- Robert C, Karaszewska B, Schachter J, et al. Improved overall survival in melanoma with combined dabrafenib and trametinib. N Engl J Med. 2015;372:30-39.
- Holderfield M, Nagel TE, Stuart DD. Mechanism and consequence of RAF kinase activation by small-molecule inhibitors. Br J Cancer. 2014;111:640-645.
- Dalle S, Poulalhon N, Debarbieux S, et al. Tracking of second primary melanomas in vemurafenib-treated patients. JAMA Dermatol. 2013;149:488-490.
- Williams VL, Cohen PR, Stewart DJ. Sorafenib-induced premalignant and malignant skin lesions. Int J Dermatol. 2011;50:396-402.
- Arnault JP, Wechsler J, Escudier B, et al. Keratoacanthomas and squamous cell carcinomas in patients receiving sorafenib. J Clin Oncol. 2009;27:e59-e61.
- Smith KJ, Haley H, Hamza S, et al. Eruptive keratoacanthoma-type squamous cell carcinomas in patients taking sorafenib for the treatment of solid tumors. Dermatol Surg. 2009;35:1766-1770.
- Sekulic A, Migden MR, Oro AE, et al. Efficacy and safety of vismodegib in advanced basal-cell carcinoma. N Engl J Med. 2012;366:2171-2179.
- Demirci H, Worden F, Nelson CC, et al. Efficacy of vismodegib (Erivedge) for basal cell carcinoma involving the orbit and periocular area. Ophthalmic Plast Reconstr Surg. 2015;31:463-466.
- Atwood SX, Sarin KY, Whitson RJ, et al. Smoothened variants explain the majority of drug resistance in basal cell carcinoma. Cancer Cell. 2015;27:342-353.
- Ridky TW, Cotsarelis G. Vismodegib resistance in basal cell carcinoma: not a smooth fit. Cancer Cell. 2015;27:315-316.
- Aasi S, Silkiss R, Tang JY, et al. New onset of keratoacanthomas after vismodegib treatment for locally advanced basal cell carcinomas: a report of 2 cases. JAMA Dermatol. 2013;149:242-243.
- Orouji A, Goerdt S, Utikal J, et al. Multiple highly and moderately differentiated squamous cell carcinomas of the skin during vismodegib treatment of inoperable basal cell carcinoma. Br J Dermatol. 2014;171:431-433.
- Iarrobino A, Messina JL, Kudchadkar R, et al. Emergence of a squamous cell carcinoma phenotype following treatment of metastatic basal cell carcinoma with vismodegib. J Am Acad Dermatol. 2013;69:e33-e34.
- Saintes C, Saint-Jean M, Brocard A, et al. Development of squamous cell carcinoma into basal cell carcinoma under treatment with vismodegib. J Eur Acad Dermatol Venereol. 2015;29:1006-1009.
- Mohan SV, Chang J, Li S, et al. Increased risk of cutaneous squamous cell carcinoma after vismodegib therapy for basal cell carcinoma. JAMA Dermatol. 2016;152:527-532.
- Zhao X, Ponomaryov T, Ornell KJ, et al. RAS/MAPK activation drives resistance to Smo inhibition, metastasis, and tumor evolution in Shh pathway-dependent tumors. Cancer Res. 2015;75:3623-3635.
- Chang AL, Oro AE. Initial assessment of tumor regrowth after vismodegib in advanced basal cell carcinoma. Arch Dermatol. 2012;148:1324-1325.
- Damsky W, King BA. JAK inhibitors in dermatology: the promise of a new drug class. J Am Acad Dermatol. 2017;76:736-744.
- Harrison CN, Vannucchi AM, Kiladjian JJ, et al. Long-term findings from COMFORT-II, a phase 3 study of ruxolitinib vs best available therapy for myelofibrosis. Leukemia. 2016;30:1701-1707.
- Verstovsek S, Vannucchi AM, Griesshammer M, et al. Ruxolitinib versus best available therapy in patients with polycythemia vera: 80-week follow-up from the RESPONSE trial. Haematologica. 2016;101:821-829.
- Verstovsek S, Mesa RA, Gotlib J, et al; COMFORT-I investigators. Long-term treatment with ruxolitinib for patients with myelofibrosis: 5-year update from the randomized, double-blind, placebo-controlled, phase 3 COMFORT-I trial. J Hematol Oncol. 2017;10:55.
- Blechman AB, Cabell CE, Weinberger CH, et al. Aggressive skin cancers occurring in patients treated with the Janus kinase inhibitor ruxolitinib. J Drugs Dermatol. 2017;16:508-511.
- Papp KA, Menter MA, Abe M, et al; OPT Pivotal 1 and OPT Pivotal 2 investigators. Tofacitinib, an oral Janus kinase inhibitor, for the treatment of chronic plaque psoriasis: results from two randomized, placebo-controlled, phase III trials. Br J Dermatol. 2015;173:949-961.
- Wellbrock C, Karasarides M, Marais R. The RAF proteins take centre stage. Nat Rev Mol Cell Biol. 2004;5:875-885.
- Gray-Schopfer V, Wellbrock C, Marais R. Melanoma biology and new targeted therapy. Nature. 2007;445:851-857.
- Arozarena I, Sanchez-Laorden B, Packer L, et al. Oncogenic BRAF induces melanoma cell invasion by downregulating the cGMP-specific phosphodiesterase PDE5A. Cancer Cell. 2011;19:45-57.
- Houslay MD. Hard times for oncogenic BRAF-expressing melanoma cells. Cancer Cell. 2011;19:3-4.
- Li WQ, Qureshi AA, Robinson KC, et al. Sildenafil use and increased risk of incident melanoma in US men: a prospective cohort study. JAMA Intern Med. 2014;174:964-970.
- Loeb S, Folkvaljon Y, Lambe M, et al. Use of phosphodiesterase type 5 inhibitors for erectile dysfunction and risk of malignant melanoma. JAMA. 2015;313:2449-2455.
- Lian Y, Yin H, Pollak MN, et al. Phosphodiesterase type 5 inhibitors and the risk of melanoma skin cancer. Eur Urol. 2016;70:808-815.
- Tang H, Wu W, Fu S, et al. Phosphodiesterase type 5 inhibitors and risk of melanoma: a meta-analysis. J Am Acad Dermatol. 2017;77:480.e9-488.e9.
Dermatologists are increasingly called on to evaluate patients with complex medical problems who are often taking many medications. Over the last several decades, many new drugs that target molecular pathways in carcinogenesis and the inflammatory immune system have been developed. Increased skin cancer risk has been reported in association with BRAF inhibitors, sonic hedgehog–inhibiting agents, Janus kinase (JAK) inhibitors, and phosphodiesterase 5 (PDE-5) inhibitors. We review the literature and data regarding the significance and strength of these associations and the molecular pathways by which these medications promote cutaneous tumorigenesis. The association of skin cancer with drugs that either induce photosensitivity—nonsteroidal anti-inflammatory drugs, antibiotics (eg, tetracyclines, fluoroquinolones, trimethoprim-sulfamethoxazole), voriconazole, thiazides—or suppress the immune system—certain biologics (eg, anti–tumor necrosis factor agents), calcineurin inhibitors, thiopurines, methotrexate, cyclosporine—is well known and is therefore not reviewed in this discussion.
BRAF Inhibitors
The mitogen-activated protein kinase (MAPK) pathway (also known as the RAS/RAF/MAPK signaling pathway) is important in growth factor–receptor signaling and plays a key role in cell differentiation, survival, and proliferation. Activating mutations in this pathway allow cells to grow and proliferate in a growth factor–independent manner. Twenty percent of human cancers harbor a mutation in the RAS oncogene, an upstream mediator of the pathway.1 Activating mutations in BRAF, a serine/threonine kinase, predominate in cutaneous melanoma and also have been found in 40% to 70% of papillary thyroid malignancies, 10% to 20% of cholangiocarcinomas, and 5% to 20% of colorectal carcinomas. The most common BRAF mutation in cutaneous melanoma is V600E, which involves a glutamic acid for valine substitution at codon 600. This mutation activates BRAF 500-fold and is present in approximately 50% of melanomas.1,2
Vemurafenib, a selective BRAF inhibitor, was approved by the US Food and Drug Administration (FDA) for the treatment of metastatic melanoma in the United States in 2011. Phase 3 trial data demonstrated that vemurafenib resulted in improved survival and decreased risk for disease progression compared to dacarbazine, the former best treatment.3 During phase 1 testing, it became apparent that vemurafenib treatment was associated with a 31% increased risk for squamous cell carcinoma (SCC), most commonly well-differentiated SCC, and keratoacanthomas (KAs).4 This association was confirmed in phase 2 and 3 studies, though the incidence was lower. McArthur et al5 reported a 19% incidence of cutaneous SCC with extended follow-up analysis of the phase 3 trial. Dabrafenib, another BRAF inhibitor, has been similarly associated with increasing the risk for SCC and KA.
In one study, the mean time to development of SCC after initiating vemurafenib therapy was 10 weeks, with lesions reported as early as 3 weeks. Most patients had clinical signs of chronically sun damaged skin; however, a history of SCC was present in only 17%. Most lesions (63%) were characterized as KAs.6
The mechanism for BRAF inhibitor–induced squamoproliferative growth is due to paradoxical activation of the MAPK pathway in cells with wild-type BRAF that harbor upstream-activating mutations in RAS or tyrosine kinase receptors.7 In the presence of a BRAF inhibitor, inactivated BRAF forms heterodimers with wild-type CRAF (a BRAF-CRAF heterodimer). The heterodimer forms a complex with the mutant RAS that leads to transactivation of the CRAF molecule,8,9 resulting in a paradoxical increase in MAPK signaling and consequent ERK phosphorylation and activation through CRAF signaling. RAS, particularly HRAS, mutations have been found in 60% of all vemurafenib-associated SCCs and KAs. For this reason, it is thought that vemurafenib potentiates tumorigenesis in subclinical lesions harboring upstream MAPK pathway mutations as opposed to inducing de novo lesions.6
Because BRAF inhibitors are remarkably efficacious in the treatment of metastatic melanomas harboring the V600E BRAF mutation, there are no restrictions on their use, despite the known increased risk for SCC. Squamous cell carcinomas tend to be low grade, and all tumors that developed in phase 1 to 3 trials were treated with simple excision. The development of SCC did not necessitate interruption of treatment. Furthermore, the addition of MEK inhibition to BRAF inhibitor therapy reduces the risk for SCC from 19% to 7%.7,10,11
In addition to SCC, second primary melanomas (SPMs) have been reported in patients treated with BRAF inhibitors. It has been shown that these melanomas occur in melanocytes with wild-type BRAF. It has been postulated that some of these tumors occur in cells that harbor upstream mutations in RAS, whereas others might result from alternate signaling through non-RAF oncogenic pathways.9,12
Zimmer et al1 reported 12 SPMs in 11 patients treated with BRAF inhibitor therapy. They reported a median delay of 8 weeks (range, 4–27 weeks) for SPM development. Tumors were detected in early stages; 1 tumor harbored an NRAS mutation.1
Dalle et al13 reported 25 SPMs in 120 vemurafenib-treated patients. Median delay in SPM development was 14 weeks (range, 4–42 weeks). All tumors were thin, ranging from in situ to 0.45-mm thick. Wild-type BRAF was detected in the 21 melanomas sampled; 1 lesion showed mutated NRAS.13
The exact incidence of SPM in the setting of BRAF inhibition is thought to be at least 10-fold less than SCC and KA.2 Patients on BRAF inhibitor therapy should have routine full-body skin examinations, given the increased risk for SPM and SCC.
Another drug belonging to the tyrosine kinase inhibitor family, sorafenib, is used in the treatment of solid tumors, particularly hepatocellular and renal cell carcinomas, and also has been associated with development of cutaneous SCC and KAs.14 Sorafenib is a multiple tyrosine kinase inhibitor that also inhibits the RAF serine/threonine kinases. Similar to vemurafenib and dabrafenib, SCCs and KAs associated with sorafenib tend to arise in patients with chronic actinic damage during the first 2 months of treatment. It has been hypothesized that inhibition of RAF kinases is pathogenic in inducing SCCs because these lesions have not been reported with sunitinib, another multiple tyrosine kinase inhibitor that lacks the ability to inhibit serine/threonine kinases.15,16 Although SCCs and KAs associated with sorafenib tend to be low grade, it is reasonable to consider sunitinib or an alternative tyrosine kinase inhibitor in patients who develop multiple SCCs while taking sorafenib.16
Sonic Hedgehog–Inhibiting Agents
Vismodegib, the first small molecule inhibitor of the signaling protein smoothened, gained FDA approval for the treatment of metastatic or locally advanced basal cell carcinoma (BCC) in 2012. A second agent with an identical mechanism of action, sonidegib, was approved by the FDA for locally advanced BCC in 2015. Approximately 90% of BCCs contain mutations in the sonic hedgehog pathway, which lead to constitutive smoothened activation and uncontrolled cell proliferation.17 The development of smoothened inhibitors introduced a much-needed treatment for inoperable or metastatic BCC,17,18 though long-term utility is limited by drug resistance with extended use in this patient population.19,20 Several case reports have documented the emergence of KA21 and cutaneous SCC following vismodegib treatment of advanced or metastatic BCC.22-24 A larger case-control study by Mohan et al25 showed that patients with BCC treated with vismodegib had an increased risk for non-BCC malignancy (hazard ratio [HR]=6.37), most of which were cutaneous SCC (HR=8.12).
The mechanism by which selective inhibition of smoothened leads to cutaneous SCC is unclear. A study found that patients on vismodegib who developed SCC within the original BCC site had elevated ERK levels within tumor tissue, suggesting that the RAS/RAF/MAPK pathway can become upregulated during hedgehog inhibition.26 Other studies looking at hedgehog inhibition in medulloblastoma models also have shown activated RAS/RAF/MAPK pathways.25 These findings suggest that tumors under smoothened inhibition might be able to bypass the sonic hedgehog pathway and continue to grow by upregulating alternative growth pathways, such as RAS/RAF/MAPK.25,26
The incidence of cutaneous SCC following vismodegib treatment is unknown. Chang and Oro27 examined BCC tumor regrowth from secondary (acquired) resistance to vismodegib and noted that lesions recurred within 1 cm of the original tumor 21% of the time. Although none of the 12 patients whose tumors regrew during treatment were reported to have developed SCC, several demonstrated different BCC subtypes than the pretreatment specimen. The authors proposed that regrowth of BCC was due to upregulated alternative pathways allowing tumors to bypass smoothened inhibition, which is similar to the proposed mechanism for SCC development in vismodegib patients.27
Prospective studies are needed to confirm the link between vismodegib and cutaneous SCC; establish the incidence of SCC development; and identify any pretreatment factors, tumor characteristics, or treatment details (eg, dosage, duration) that might contribute to SCC development. Furthermore, because Mohan et al25 observed that vismodegib-treated patients were less likely to develop SCC in situ than controls, it is unknown if these tumors are more aggressive than traditional SCC. At this point, careful surveillance and regular full-body skin examinations are advised for patients on vismodegib for treatment of advanced BCC.
JAK Inhibitors
Another class of medications potentially associated with increased development of nonmelanoma skin cancer (NMSC) is the JAK inhibitors (also known as jakinibs). Many proinflammatory signaling pathways converge on the JAK family of enzymes—JAK1, JAK2, JAK3, and TYK2. These enzymes operate in cytokine signal transduction by phosphorylating activated cytokine receptors, which allows for recruitment and activation by means of phosphorylation of transcription factors collectively known as signal transducers and activators of transcription (STATs). Phosphorylated STATs dimerize and translocate to the nucleus, acting as direct transcription promoters. Janus kinase inhibitors modulate the immune response by reducing the effect of interleukin and interferon signaling.
Ruxolitinib, a JAK1/JAK2 inhibitor, was the first JAK inhibitor approved by the FDA and is indicated for the treatment of myelofibrosis and polycythemia vera. Additionally, oral and topical JAK inhibitors have shown efficacy in the treatment of psoriasis, rheumatoid arthritis, alopecia areata, vitiligo, and pruritus from atopic dermatitis.28
The JAK-STAT pathway is complex, and the biological activity of the pathway is both proinflammatory and pro–cell survival and proliferation. Because signaling through the pathway can increase angiogenesis and inhibit apoptosis, inhibition of this pathway has been exploited for the treatment of some tumors. However, inhibition of interferon and proinflammatory interleukin signaling also can potentially promote tumor growth by means of inhibition of downstream cytotoxic T-cell signaling, theoretically increasing the risk for NMSC. A study examining the 5-year efficacy of ruxolitinib in myelofibrosis patients (COMFORT-II trial) found that 17.1% of patients developed NMSC compared to only 2.7% of those on the best available therapy. After adjustment by patient exposure, the NMSC rate was still doubled for ruxolitinib-treated patients compared to controls (6.1/100 patient-years and 3.0/100 patient-years, respectively).29 Eighty-week follow-up of the phase 3 clinical trial of ruxolitinib for the treatment of polycythemia vera also noted an increased incidence of NMSC, albeit a more conservative increase. Patients randomized to the ruxolitinib treatment group developed NMSC at a rate of 4.4/100 patient-years, whereas the rate for controls treated with best available therapy was 2.7/100 patient-years.30 In contrast, 5-year follow-up of the COMFORT-I trial, also examining the efficacy of ruxolitinib in myelofibrosis, showed no increased risk for NMSC between ruxolitinib-treated patients and placebo (2.7/100 patient-years and 3.9/100 patient-years, respectively).31
A 2017 case series described 5 patients with myelofibrosis who developed multiple skin cancers with aggressive features while receiving ruxolitinib.32 Duration of ruxolitinib therapy ranged from 4 months to 4 years; 3 patients had a history of hydroxyurea exposure, and only 1 patient had a history of NMSC. High-risk cutaneous SCC, undifferentiated pleomorphic sarcoma, and lentigo maligna melanoma (Breslow thickness, 0.45 mm) were among the tumors reported in this series. Although no definitive conclusion can be made regarding the causality of JAK inhibitors in promoting these tumors, the association warrants further investigation. Clinicians should be aware that ruxolitinib might amplify the risk for NMSC in patients with pre-existing genetic or exposure-related susceptibility. Interruption of drug therapy may be necessary in managing patients who develop an aggressive tumor.32
In contrast, tofacitinib, which specifically inhibits JAK3, carries very low risk, if any, for NMSC when used for the treatment of psoriasis and rheumatoid arthritis. Results from 2 phase 3 trials analyzing the efficacy of tofacitinib in psoriasis demonstrated that only 2 of 1486 patients treated developed NMSC compared to none in the control group.33 Furthermore, analysis of NMSC across the tofacitinib rheumatoid arthritis clinical program, which included a total of 15,103 patient-years of exposure, demonstrated that the overall NMSC incidence was 0.55 for every 100 patient-years. Of note, the risk in patients receiving high-dose treatment (10 mg vs 5 mg) was nearly doubled in long-term follow-up studies (0.79/100 patient-years and 0.41/100 patient-years, respectively). Overall, the study concluded that treatment with tofacitinib presents no greater increased risk for NMSC than treatment with tumor necrosis factor inhibitors.33
PDE-5 Inhibitors
Phosphodiesterase 5 inhibitors, such as sildenafil citrate, have been widely prescribed for the treatment of erectile dysfunction. Studies have shown that BRAF-activated melanomas, which occur in approximately 50% to 70% of melanomas, also result in reduced PDE-5 expression.34-36 In these melanomas, downregulation of PDE-5 results in increased intracellular calcium,36 which has been shown to induce melanoma invasion.36,37 Given this similarity in molecular pathway between BRAF-activated melanomas and PDE-5 inhibitors, there has been increased concern that PDE-5 inhibitors might be associated with an increased risk for melanoma.
In 2014, Li et al38 published a retrospective analysis suggesting an association with sildenafil and an increased risk for melanoma. Their study utilized the Health Professionals Follow-up Study to identify a statistically significant elevation in the risk for invasive melanoma with both recent sildenafil use (multivariate-adjusted HR=2.24) and use at any time (HR=1.92). These results controlled for confounding variables, such as presence of major chronic disease, use of other erectile dysfunction treatments, family history of melanoma, history of sun exposure, and UV index of the patient’s residence. Notably, the study also found that sildenafil did not affect the incidence of BCC or SCC.38
In 2015, Loeb et al39 also examined the potential association between PDE-5 inhibitors and melanoma. Review of several Swedish drug and cancer registries allowed for analysis of melanoma risk and PDE-5 inhibitor use, based on number of prescriptions filled and type of PDE-5 inhibitor prescribed. Their analysis showed that men developing melanoma were more likely than nonmelanoma controls to have taken a PDE-5 inhibitor (11% vs 8%). In a subgroup analysis, however, statistical significance was shown for men with only a single prescription filled (34% of cases; P<.05), whereas the difference for men with multiple filled prescriptions did not meet statistical significance. Furthermore, the study did not find increased risk with longer-acting tadalafil and vardenafil (odds ratio [OR]=1.16) compared to sildenafil (OR=1.14). Last, use of PDE-5 inhibitors was only associated with stage 0 (OR=1.49) and stage I (OR=1.21) tumors, not with stages II to IV (OR=0.83) tumors. Although there was a statistically significant association between PDE-5 inhibitors and malignant melanoma (P<.05), the subgroup analysis findings pointed away from a causal relationship and likely toward a confounding of variable(s).39
A 2016 study by Lian et al40 looked at the risk for melanoma in a cohort of patients diagnosed with erectile dysfunction. No association between PDE-5 inhibitors and melanoma risk was shown when comparing patients who received a PDE-5 inhibitor and those who did not receive a PDE-5 inhibitor. However, secondary analysis did show that melanoma risk was increased among patients receiving more pills (34%) and prescriptions (30%). The authors concluded that there was no association between PDE-5 inhibitor use and overall increased risk for melanoma, and the increased risk associated with a greater number of pills and prescriptions would require further study.40
In contrast, a 2017 meta-analysis by Tang et al41 of 5 studies (3 of which were the aforementioned trials38-40) concluded that use of PDE-5 inhibitors was associated with a small but significantly increased risk for melanoma (OR=1.12) and BCC (OR=1.14) but not SCC. Furthermore, the study found no evidence of dosage-dependent association between PDE-5 inhibitor use and melanoma risk.41
Overall, clinical studies have been inconclusive in determining the risk for melanoma in the setting of PDE-5 inhibitor use. Studies showing an increased rate of melanoma within patient cohorts receiving PDE-5 inhibitors are limited; results might be affected by confounding variables. However, given the similarity in mechanism between PDE-5 inhibitors and HRAS-activated melanomas, it is reasonable to continue research into this potential association.
Conclusion
Since the turn of the century, drugs targeting cell-signaling pathways have been developed to treat inflammatory, oncologic, and immune conditions. The role of immunosuppressants in promoting skin cancer is well established and supported by a vast literature base. However, associations are less clear with newer immunomodulatory and antineoplastic medications. Skin cancer has been reported in association with BRAF inhibitors, sonic hedgehog–inhibiting agents, JAK inhibitors, and PDE-5 inhibitors. In the case of JAK and PDE-5 inhibitors, the increased risk for melanoma and NMSC is somewhat inconclusive; risk is more firmly established for BRAF inhibitors and smoothened inhibitors. For the antineoplastic agents reviewed, the therapeutic effect of cancer regression is well documented, and benefits of continued therapy outweigh the increased risk for skin cancer promotion in nearly all cases. The value of early detection has been well documented for skin malignancy; therefore, increased skin surveillance and prompt management of suspicious lesions should be a priority for physicians treating patients undergoing therapy with these medications
Dermatologists are increasingly called on to evaluate patients with complex medical problems who are often taking many medications. Over the last several decades, many new drugs that target molecular pathways in carcinogenesis and the inflammatory immune system have been developed. Increased skin cancer risk has been reported in association with BRAF inhibitors, sonic hedgehog–inhibiting agents, Janus kinase (JAK) inhibitors, and phosphodiesterase 5 (PDE-5) inhibitors. We review the literature and data regarding the significance and strength of these associations and the molecular pathways by which these medications promote cutaneous tumorigenesis. The association of skin cancer with drugs that either induce photosensitivity—nonsteroidal anti-inflammatory drugs, antibiotics (eg, tetracyclines, fluoroquinolones, trimethoprim-sulfamethoxazole), voriconazole, thiazides—or suppress the immune system—certain biologics (eg, anti–tumor necrosis factor agents), calcineurin inhibitors, thiopurines, methotrexate, cyclosporine—is well known and is therefore not reviewed in this discussion.
BRAF Inhibitors
The mitogen-activated protein kinase (MAPK) pathway (also known as the RAS/RAF/MAPK signaling pathway) is important in growth factor–receptor signaling and plays a key role in cell differentiation, survival, and proliferation. Activating mutations in this pathway allow cells to grow and proliferate in a growth factor–independent manner. Twenty percent of human cancers harbor a mutation in the RAS oncogene, an upstream mediator of the pathway.1 Activating mutations in BRAF, a serine/threonine kinase, predominate in cutaneous melanoma and also have been found in 40% to 70% of papillary thyroid malignancies, 10% to 20% of cholangiocarcinomas, and 5% to 20% of colorectal carcinomas. The most common BRAF mutation in cutaneous melanoma is V600E, which involves a glutamic acid for valine substitution at codon 600. This mutation activates BRAF 500-fold and is present in approximately 50% of melanomas.1,2
Vemurafenib, a selective BRAF inhibitor, was approved by the US Food and Drug Administration (FDA) for the treatment of metastatic melanoma in the United States in 2011. Phase 3 trial data demonstrated that vemurafenib resulted in improved survival and decreased risk for disease progression compared to dacarbazine, the former best treatment.3 During phase 1 testing, it became apparent that vemurafenib treatment was associated with a 31% increased risk for squamous cell carcinoma (SCC), most commonly well-differentiated SCC, and keratoacanthomas (KAs).4 This association was confirmed in phase 2 and 3 studies, though the incidence was lower. McArthur et al5 reported a 19% incidence of cutaneous SCC with extended follow-up analysis of the phase 3 trial. Dabrafenib, another BRAF inhibitor, has been similarly associated with increasing the risk for SCC and KA.
In one study, the mean time to development of SCC after initiating vemurafenib therapy was 10 weeks, with lesions reported as early as 3 weeks. Most patients had clinical signs of chronically sun damaged skin; however, a history of SCC was present in only 17%. Most lesions (63%) were characterized as KAs.6
The mechanism for BRAF inhibitor–induced squamoproliferative growth is due to paradoxical activation of the MAPK pathway in cells with wild-type BRAF that harbor upstream-activating mutations in RAS or tyrosine kinase receptors.7 In the presence of a BRAF inhibitor, inactivated BRAF forms heterodimers with wild-type CRAF (a BRAF-CRAF heterodimer). The heterodimer forms a complex with the mutant RAS that leads to transactivation of the CRAF molecule,8,9 resulting in a paradoxical increase in MAPK signaling and consequent ERK phosphorylation and activation through CRAF signaling. RAS, particularly HRAS, mutations have been found in 60% of all vemurafenib-associated SCCs and KAs. For this reason, it is thought that vemurafenib potentiates tumorigenesis in subclinical lesions harboring upstream MAPK pathway mutations as opposed to inducing de novo lesions.6
Because BRAF inhibitors are remarkably efficacious in the treatment of metastatic melanomas harboring the V600E BRAF mutation, there are no restrictions on their use, despite the known increased risk for SCC. Squamous cell carcinomas tend to be low grade, and all tumors that developed in phase 1 to 3 trials were treated with simple excision. The development of SCC did not necessitate interruption of treatment. Furthermore, the addition of MEK inhibition to BRAF inhibitor therapy reduces the risk for SCC from 19% to 7%.7,10,11
In addition to SCC, second primary melanomas (SPMs) have been reported in patients treated with BRAF inhibitors. It has been shown that these melanomas occur in melanocytes with wild-type BRAF. It has been postulated that some of these tumors occur in cells that harbor upstream mutations in RAS, whereas others might result from alternate signaling through non-RAF oncogenic pathways.9,12
Zimmer et al1 reported 12 SPMs in 11 patients treated with BRAF inhibitor therapy. They reported a median delay of 8 weeks (range, 4–27 weeks) for SPM development. Tumors were detected in early stages; 1 tumor harbored an NRAS mutation.1
Dalle et al13 reported 25 SPMs in 120 vemurafenib-treated patients. Median delay in SPM development was 14 weeks (range, 4–42 weeks). All tumors were thin, ranging from in situ to 0.45-mm thick. Wild-type BRAF was detected in the 21 melanomas sampled; 1 lesion showed mutated NRAS.13
The exact incidence of SPM in the setting of BRAF inhibition is thought to be at least 10-fold less than SCC and KA.2 Patients on BRAF inhibitor therapy should have routine full-body skin examinations, given the increased risk for SPM and SCC.
Another drug belonging to the tyrosine kinase inhibitor family, sorafenib, is used in the treatment of solid tumors, particularly hepatocellular and renal cell carcinomas, and also has been associated with development of cutaneous SCC and KAs.14 Sorafenib is a multiple tyrosine kinase inhibitor that also inhibits the RAF serine/threonine kinases. Similar to vemurafenib and dabrafenib, SCCs and KAs associated with sorafenib tend to arise in patients with chronic actinic damage during the first 2 months of treatment. It has been hypothesized that inhibition of RAF kinases is pathogenic in inducing SCCs because these lesions have not been reported with sunitinib, another multiple tyrosine kinase inhibitor that lacks the ability to inhibit serine/threonine kinases.15,16 Although SCCs and KAs associated with sorafenib tend to be low grade, it is reasonable to consider sunitinib or an alternative tyrosine kinase inhibitor in patients who develop multiple SCCs while taking sorafenib.16
Sonic Hedgehog–Inhibiting Agents
Vismodegib, the first small molecule inhibitor of the signaling protein smoothened, gained FDA approval for the treatment of metastatic or locally advanced basal cell carcinoma (BCC) in 2012. A second agent with an identical mechanism of action, sonidegib, was approved by the FDA for locally advanced BCC in 2015. Approximately 90% of BCCs contain mutations in the sonic hedgehog pathway, which lead to constitutive smoothened activation and uncontrolled cell proliferation.17 The development of smoothened inhibitors introduced a much-needed treatment for inoperable or metastatic BCC,17,18 though long-term utility is limited by drug resistance with extended use in this patient population.19,20 Several case reports have documented the emergence of KA21 and cutaneous SCC following vismodegib treatment of advanced or metastatic BCC.22-24 A larger case-control study by Mohan et al25 showed that patients with BCC treated with vismodegib had an increased risk for non-BCC malignancy (hazard ratio [HR]=6.37), most of which were cutaneous SCC (HR=8.12).
The mechanism by which selective inhibition of smoothened leads to cutaneous SCC is unclear. A study found that patients on vismodegib who developed SCC within the original BCC site had elevated ERK levels within tumor tissue, suggesting that the RAS/RAF/MAPK pathway can become upregulated during hedgehog inhibition.26 Other studies looking at hedgehog inhibition in medulloblastoma models also have shown activated RAS/RAF/MAPK pathways.25 These findings suggest that tumors under smoothened inhibition might be able to bypass the sonic hedgehog pathway and continue to grow by upregulating alternative growth pathways, such as RAS/RAF/MAPK.25,26
The incidence of cutaneous SCC following vismodegib treatment is unknown. Chang and Oro27 examined BCC tumor regrowth from secondary (acquired) resistance to vismodegib and noted that lesions recurred within 1 cm of the original tumor 21% of the time. Although none of the 12 patients whose tumors regrew during treatment were reported to have developed SCC, several demonstrated different BCC subtypes than the pretreatment specimen. The authors proposed that regrowth of BCC was due to upregulated alternative pathways allowing tumors to bypass smoothened inhibition, which is similar to the proposed mechanism for SCC development in vismodegib patients.27
Prospective studies are needed to confirm the link between vismodegib and cutaneous SCC; establish the incidence of SCC development; and identify any pretreatment factors, tumor characteristics, or treatment details (eg, dosage, duration) that might contribute to SCC development. Furthermore, because Mohan et al25 observed that vismodegib-treated patients were less likely to develop SCC in situ than controls, it is unknown if these tumors are more aggressive than traditional SCC. At this point, careful surveillance and regular full-body skin examinations are advised for patients on vismodegib for treatment of advanced BCC.
JAK Inhibitors
Another class of medications potentially associated with increased development of nonmelanoma skin cancer (NMSC) is the JAK inhibitors (also known as jakinibs). Many proinflammatory signaling pathways converge on the JAK family of enzymes—JAK1, JAK2, JAK3, and TYK2. These enzymes operate in cytokine signal transduction by phosphorylating activated cytokine receptors, which allows for recruitment and activation by means of phosphorylation of transcription factors collectively known as signal transducers and activators of transcription (STATs). Phosphorylated STATs dimerize and translocate to the nucleus, acting as direct transcription promoters. Janus kinase inhibitors modulate the immune response by reducing the effect of interleukin and interferon signaling.
Ruxolitinib, a JAK1/JAK2 inhibitor, was the first JAK inhibitor approved by the FDA and is indicated for the treatment of myelofibrosis and polycythemia vera. Additionally, oral and topical JAK inhibitors have shown efficacy in the treatment of psoriasis, rheumatoid arthritis, alopecia areata, vitiligo, and pruritus from atopic dermatitis.28
The JAK-STAT pathway is complex, and the biological activity of the pathway is both proinflammatory and pro–cell survival and proliferation. Because signaling through the pathway can increase angiogenesis and inhibit apoptosis, inhibition of this pathway has been exploited for the treatment of some tumors. However, inhibition of interferon and proinflammatory interleukin signaling also can potentially promote tumor growth by means of inhibition of downstream cytotoxic T-cell signaling, theoretically increasing the risk for NMSC. A study examining the 5-year efficacy of ruxolitinib in myelofibrosis patients (COMFORT-II trial) found that 17.1% of patients developed NMSC compared to only 2.7% of those on the best available therapy. After adjustment by patient exposure, the NMSC rate was still doubled for ruxolitinib-treated patients compared to controls (6.1/100 patient-years and 3.0/100 patient-years, respectively).29 Eighty-week follow-up of the phase 3 clinical trial of ruxolitinib for the treatment of polycythemia vera also noted an increased incidence of NMSC, albeit a more conservative increase. Patients randomized to the ruxolitinib treatment group developed NMSC at a rate of 4.4/100 patient-years, whereas the rate for controls treated with best available therapy was 2.7/100 patient-years.30 In contrast, 5-year follow-up of the COMFORT-I trial, also examining the efficacy of ruxolitinib in myelofibrosis, showed no increased risk for NMSC between ruxolitinib-treated patients and placebo (2.7/100 patient-years and 3.9/100 patient-years, respectively).31
A 2017 case series described 5 patients with myelofibrosis who developed multiple skin cancers with aggressive features while receiving ruxolitinib.32 Duration of ruxolitinib therapy ranged from 4 months to 4 years; 3 patients had a history of hydroxyurea exposure, and only 1 patient had a history of NMSC. High-risk cutaneous SCC, undifferentiated pleomorphic sarcoma, and lentigo maligna melanoma (Breslow thickness, 0.45 mm) were among the tumors reported in this series. Although no definitive conclusion can be made regarding the causality of JAK inhibitors in promoting these tumors, the association warrants further investigation. Clinicians should be aware that ruxolitinib might amplify the risk for NMSC in patients with pre-existing genetic or exposure-related susceptibility. Interruption of drug therapy may be necessary in managing patients who develop an aggressive tumor.32
In contrast, tofacitinib, which specifically inhibits JAK3, carries very low risk, if any, for NMSC when used for the treatment of psoriasis and rheumatoid arthritis. Results from 2 phase 3 trials analyzing the efficacy of tofacitinib in psoriasis demonstrated that only 2 of 1486 patients treated developed NMSC compared to none in the control group.33 Furthermore, analysis of NMSC across the tofacitinib rheumatoid arthritis clinical program, which included a total of 15,103 patient-years of exposure, demonstrated that the overall NMSC incidence was 0.55 for every 100 patient-years. Of note, the risk in patients receiving high-dose treatment (10 mg vs 5 mg) was nearly doubled in long-term follow-up studies (0.79/100 patient-years and 0.41/100 patient-years, respectively). Overall, the study concluded that treatment with tofacitinib presents no greater increased risk for NMSC than treatment with tumor necrosis factor inhibitors.33
PDE-5 Inhibitors
Phosphodiesterase 5 inhibitors, such as sildenafil citrate, have been widely prescribed for the treatment of erectile dysfunction. Studies have shown that BRAF-activated melanomas, which occur in approximately 50% to 70% of melanomas, also result in reduced PDE-5 expression.34-36 In these melanomas, downregulation of PDE-5 results in increased intracellular calcium,36 which has been shown to induce melanoma invasion.36,37 Given this similarity in molecular pathway between BRAF-activated melanomas and PDE-5 inhibitors, there has been increased concern that PDE-5 inhibitors might be associated with an increased risk for melanoma.
In 2014, Li et al38 published a retrospective analysis suggesting an association with sildenafil and an increased risk for melanoma. Their study utilized the Health Professionals Follow-up Study to identify a statistically significant elevation in the risk for invasive melanoma with both recent sildenafil use (multivariate-adjusted HR=2.24) and use at any time (HR=1.92). These results controlled for confounding variables, such as presence of major chronic disease, use of other erectile dysfunction treatments, family history of melanoma, history of sun exposure, and UV index of the patient’s residence. Notably, the study also found that sildenafil did not affect the incidence of BCC or SCC.38
In 2015, Loeb et al39 also examined the potential association between PDE-5 inhibitors and melanoma. Review of several Swedish drug and cancer registries allowed for analysis of melanoma risk and PDE-5 inhibitor use, based on number of prescriptions filled and type of PDE-5 inhibitor prescribed. Their analysis showed that men developing melanoma were more likely than nonmelanoma controls to have taken a PDE-5 inhibitor (11% vs 8%). In a subgroup analysis, however, statistical significance was shown for men with only a single prescription filled (34% of cases; P<.05), whereas the difference for men with multiple filled prescriptions did not meet statistical significance. Furthermore, the study did not find increased risk with longer-acting tadalafil and vardenafil (odds ratio [OR]=1.16) compared to sildenafil (OR=1.14). Last, use of PDE-5 inhibitors was only associated with stage 0 (OR=1.49) and stage I (OR=1.21) tumors, not with stages II to IV (OR=0.83) tumors. Although there was a statistically significant association between PDE-5 inhibitors and malignant melanoma (P<.05), the subgroup analysis findings pointed away from a causal relationship and likely toward a confounding of variable(s).39
A 2016 study by Lian et al40 looked at the risk for melanoma in a cohort of patients diagnosed with erectile dysfunction. No association between PDE-5 inhibitors and melanoma risk was shown when comparing patients who received a PDE-5 inhibitor and those who did not receive a PDE-5 inhibitor. However, secondary analysis did show that melanoma risk was increased among patients receiving more pills (34%) and prescriptions (30%). The authors concluded that there was no association between PDE-5 inhibitor use and overall increased risk for melanoma, and the increased risk associated with a greater number of pills and prescriptions would require further study.40
In contrast, a 2017 meta-analysis by Tang et al41 of 5 studies (3 of which were the aforementioned trials38-40) concluded that use of PDE-5 inhibitors was associated with a small but significantly increased risk for melanoma (OR=1.12) and BCC (OR=1.14) but not SCC. Furthermore, the study found no evidence of dosage-dependent association between PDE-5 inhibitor use and melanoma risk.41
Overall, clinical studies have been inconclusive in determining the risk for melanoma in the setting of PDE-5 inhibitor use. Studies showing an increased rate of melanoma within patient cohorts receiving PDE-5 inhibitors are limited; results might be affected by confounding variables. However, given the similarity in mechanism between PDE-5 inhibitors and HRAS-activated melanomas, it is reasonable to continue research into this potential association.
Conclusion
Since the turn of the century, drugs targeting cell-signaling pathways have been developed to treat inflammatory, oncologic, and immune conditions. The role of immunosuppressants in promoting skin cancer is well established and supported by a vast literature base. However, associations are less clear with newer immunomodulatory and antineoplastic medications. Skin cancer has been reported in association with BRAF inhibitors, sonic hedgehog–inhibiting agents, JAK inhibitors, and PDE-5 inhibitors. In the case of JAK and PDE-5 inhibitors, the increased risk for melanoma and NMSC is somewhat inconclusive; risk is more firmly established for BRAF inhibitors and smoothened inhibitors. For the antineoplastic agents reviewed, the therapeutic effect of cancer regression is well documented, and benefits of continued therapy outweigh the increased risk for skin cancer promotion in nearly all cases. The value of early detection has been well documented for skin malignancy; therefore, increased skin surveillance and prompt management of suspicious lesions should be a priority for physicians treating patients undergoing therapy with these medications
- Zimmer L, Hillen U, Livingstone E, et al. Atypical melanocytic proliferations and new primary melanoma in patients with advanced melanoma undergoing selective BRAF inhibition. J Clin Oncol. 2012;30:2375-2383.
- Long GV, Menzies AM, Nagrial AM, et al. Prognostic and clinicopathologic associations of oncogenic BRAF in metastatic melanoma. J Clin Oncol. 2011;29:1239-1246.
- Chapman PB, Hauschild A, Robert C, et al; BRIM-3 Study Group. Improved survival with vemurafenib in melanoma with BRAF V600E mutation. N Engl J Med. 2011;364:2507-2516.
- Flaherty KT, Puzanov I, Kim KB, et al. Inhibition of mutated, activated BRAF in metastatic melanoma. N Engl J Med. 2010;363:809-819.
- McArthur GA, Chapman PB, Robert C, et al. Safety and efficacy of vemurafenib in BRAF(V600E) and BRAF(V600K) mutation-positive melanoma (BRIM-3): extended follow-up of a phase 3, randomised, open-label study. Lancet Oncol. 2014;15:323-332.
- Su F, Viros A, Milagre C, et al. RAS mutations in cutaneous squamous-cell carcinomas in patients treated with BRAF inhibitors. N Engl J Med. 2012;366:207-215.
- Carlos G, Anforth R, Clements A, et al. Cutaneous toxic effects of BRAF inhibitors alone and in combination with MEK inhibitors for metastatic melanoma. JAMA Dermatol. 2015;151:1103-1109.
- Poulikakos PI, Zhang C, Bollag G, et al. RAF inhibitors transactivate RAF dimers and ERK signalling in cells with wild-type BRAF. Nature. 2010;464:427-430.
- Ryan MB, Der CJ, Wang-Gillam A, et al. Targeting RAS-mutant cancers: is ERK the key? Trends Cancer. 2015;1:183-198.
- Long GV, Stroyakovskiy D, Gogas H, et al. Combined BRAF and MEK inhibition versus BRAF inhibition alone in melanoma. N Engl J Med. 2014;371:1877-1888.
- Robert C, Karaszewska B, Schachter J, et al. Improved overall survival in melanoma with combined dabrafenib and trametinib. N Engl J Med. 2015;372:30-39.
- Holderfield M, Nagel TE, Stuart DD. Mechanism and consequence of RAF kinase activation by small-molecule inhibitors. Br J Cancer. 2014;111:640-645.
- Dalle S, Poulalhon N, Debarbieux S, et al. Tracking of second primary melanomas in vemurafenib-treated patients. JAMA Dermatol. 2013;149:488-490.
- Williams VL, Cohen PR, Stewart DJ. Sorafenib-induced premalignant and malignant skin lesions. Int J Dermatol. 2011;50:396-402.
- Arnault JP, Wechsler J, Escudier B, et al. Keratoacanthomas and squamous cell carcinomas in patients receiving sorafenib. J Clin Oncol. 2009;27:e59-e61.
- Smith KJ, Haley H, Hamza S, et al. Eruptive keratoacanthoma-type squamous cell carcinomas in patients taking sorafenib for the treatment of solid tumors. Dermatol Surg. 2009;35:1766-1770.
- Sekulic A, Migden MR, Oro AE, et al. Efficacy and safety of vismodegib in advanced basal-cell carcinoma. N Engl J Med. 2012;366:2171-2179.
- Demirci H, Worden F, Nelson CC, et al. Efficacy of vismodegib (Erivedge) for basal cell carcinoma involving the orbit and periocular area. Ophthalmic Plast Reconstr Surg. 2015;31:463-466.
- Atwood SX, Sarin KY, Whitson RJ, et al. Smoothened variants explain the majority of drug resistance in basal cell carcinoma. Cancer Cell. 2015;27:342-353.
- Ridky TW, Cotsarelis G. Vismodegib resistance in basal cell carcinoma: not a smooth fit. Cancer Cell. 2015;27:315-316.
- Aasi S, Silkiss R, Tang JY, et al. New onset of keratoacanthomas after vismodegib treatment for locally advanced basal cell carcinomas: a report of 2 cases. JAMA Dermatol. 2013;149:242-243.
- Orouji A, Goerdt S, Utikal J, et al. Multiple highly and moderately differentiated squamous cell carcinomas of the skin during vismodegib treatment of inoperable basal cell carcinoma. Br J Dermatol. 2014;171:431-433.
- Iarrobino A, Messina JL, Kudchadkar R, et al. Emergence of a squamous cell carcinoma phenotype following treatment of metastatic basal cell carcinoma with vismodegib. J Am Acad Dermatol. 2013;69:e33-e34.
- Saintes C, Saint-Jean M, Brocard A, et al. Development of squamous cell carcinoma into basal cell carcinoma under treatment with vismodegib. J Eur Acad Dermatol Venereol. 2015;29:1006-1009.
- Mohan SV, Chang J, Li S, et al. Increased risk of cutaneous squamous cell carcinoma after vismodegib therapy for basal cell carcinoma. JAMA Dermatol. 2016;152:527-532.
- Zhao X, Ponomaryov T, Ornell KJ, et al. RAS/MAPK activation drives resistance to Smo inhibition, metastasis, and tumor evolution in Shh pathway-dependent tumors. Cancer Res. 2015;75:3623-3635.
- Chang AL, Oro AE. Initial assessment of tumor regrowth after vismodegib in advanced basal cell carcinoma. Arch Dermatol. 2012;148:1324-1325.
- Damsky W, King BA. JAK inhibitors in dermatology: the promise of a new drug class. J Am Acad Dermatol. 2017;76:736-744.
- Harrison CN, Vannucchi AM, Kiladjian JJ, et al. Long-term findings from COMFORT-II, a phase 3 study of ruxolitinib vs best available therapy for myelofibrosis. Leukemia. 2016;30:1701-1707.
- Verstovsek S, Vannucchi AM, Griesshammer M, et al. Ruxolitinib versus best available therapy in patients with polycythemia vera: 80-week follow-up from the RESPONSE trial. Haematologica. 2016;101:821-829.
- Verstovsek S, Mesa RA, Gotlib J, et al; COMFORT-I investigators. Long-term treatment with ruxolitinib for patients with myelofibrosis: 5-year update from the randomized, double-blind, placebo-controlled, phase 3 COMFORT-I trial. J Hematol Oncol. 2017;10:55.
- Blechman AB, Cabell CE, Weinberger CH, et al. Aggressive skin cancers occurring in patients treated with the Janus kinase inhibitor ruxolitinib. J Drugs Dermatol. 2017;16:508-511.
- Papp KA, Menter MA, Abe M, et al; OPT Pivotal 1 and OPT Pivotal 2 investigators. Tofacitinib, an oral Janus kinase inhibitor, for the treatment of chronic plaque psoriasis: results from two randomized, placebo-controlled, phase III trials. Br J Dermatol. 2015;173:949-961.
- Wellbrock C, Karasarides M, Marais R. The RAF proteins take centre stage. Nat Rev Mol Cell Biol. 2004;5:875-885.
- Gray-Schopfer V, Wellbrock C, Marais R. Melanoma biology and new targeted therapy. Nature. 2007;445:851-857.
- Arozarena I, Sanchez-Laorden B, Packer L, et al. Oncogenic BRAF induces melanoma cell invasion by downregulating the cGMP-specific phosphodiesterase PDE5A. Cancer Cell. 2011;19:45-57.
- Houslay MD. Hard times for oncogenic BRAF-expressing melanoma cells. Cancer Cell. 2011;19:3-4.
- Li WQ, Qureshi AA, Robinson KC, et al. Sildenafil use and increased risk of incident melanoma in US men: a prospective cohort study. JAMA Intern Med. 2014;174:964-970.
- Loeb S, Folkvaljon Y, Lambe M, et al. Use of phosphodiesterase type 5 inhibitors for erectile dysfunction and risk of malignant melanoma. JAMA. 2015;313:2449-2455.
- Lian Y, Yin H, Pollak MN, et al. Phosphodiesterase type 5 inhibitors and the risk of melanoma skin cancer. Eur Urol. 2016;70:808-815.
- Tang H, Wu W, Fu S, et al. Phosphodiesterase type 5 inhibitors and risk of melanoma: a meta-analysis. J Am Acad Dermatol. 2017;77:480.e9-488.e9.
- Zimmer L, Hillen U, Livingstone E, et al. Atypical melanocytic proliferations and new primary melanoma in patients with advanced melanoma undergoing selective BRAF inhibition. J Clin Oncol. 2012;30:2375-2383.
- Long GV, Menzies AM, Nagrial AM, et al. Prognostic and clinicopathologic associations of oncogenic BRAF in metastatic melanoma. J Clin Oncol. 2011;29:1239-1246.
- Chapman PB, Hauschild A, Robert C, et al; BRIM-3 Study Group. Improved survival with vemurafenib in melanoma with BRAF V600E mutation. N Engl J Med. 2011;364:2507-2516.
- Flaherty KT, Puzanov I, Kim KB, et al. Inhibition of mutated, activated BRAF in metastatic melanoma. N Engl J Med. 2010;363:809-819.
- McArthur GA, Chapman PB, Robert C, et al. Safety and efficacy of vemurafenib in BRAF(V600E) and BRAF(V600K) mutation-positive melanoma (BRIM-3): extended follow-up of a phase 3, randomised, open-label study. Lancet Oncol. 2014;15:323-332.
- Su F, Viros A, Milagre C, et al. RAS mutations in cutaneous squamous-cell carcinomas in patients treated with BRAF inhibitors. N Engl J Med. 2012;366:207-215.
- Carlos G, Anforth R, Clements A, et al. Cutaneous toxic effects of BRAF inhibitors alone and in combination with MEK inhibitors for metastatic melanoma. JAMA Dermatol. 2015;151:1103-1109.
- Poulikakos PI, Zhang C, Bollag G, et al. RAF inhibitors transactivate RAF dimers and ERK signalling in cells with wild-type BRAF. Nature. 2010;464:427-430.
- Ryan MB, Der CJ, Wang-Gillam A, et al. Targeting RAS-mutant cancers: is ERK the key? Trends Cancer. 2015;1:183-198.
- Long GV, Stroyakovskiy D, Gogas H, et al. Combined BRAF and MEK inhibition versus BRAF inhibition alone in melanoma. N Engl J Med. 2014;371:1877-1888.
- Robert C, Karaszewska B, Schachter J, et al. Improved overall survival in melanoma with combined dabrafenib and trametinib. N Engl J Med. 2015;372:30-39.
- Holderfield M, Nagel TE, Stuart DD. Mechanism and consequence of RAF kinase activation by small-molecule inhibitors. Br J Cancer. 2014;111:640-645.
- Dalle S, Poulalhon N, Debarbieux S, et al. Tracking of second primary melanomas in vemurafenib-treated patients. JAMA Dermatol. 2013;149:488-490.
- Williams VL, Cohen PR, Stewart DJ. Sorafenib-induced premalignant and malignant skin lesions. Int J Dermatol. 2011;50:396-402.
- Arnault JP, Wechsler J, Escudier B, et al. Keratoacanthomas and squamous cell carcinomas in patients receiving sorafenib. J Clin Oncol. 2009;27:e59-e61.
- Smith KJ, Haley H, Hamza S, et al. Eruptive keratoacanthoma-type squamous cell carcinomas in patients taking sorafenib for the treatment of solid tumors. Dermatol Surg. 2009;35:1766-1770.
- Sekulic A, Migden MR, Oro AE, et al. Efficacy and safety of vismodegib in advanced basal-cell carcinoma. N Engl J Med. 2012;366:2171-2179.
- Demirci H, Worden F, Nelson CC, et al. Efficacy of vismodegib (Erivedge) for basal cell carcinoma involving the orbit and periocular area. Ophthalmic Plast Reconstr Surg. 2015;31:463-466.
- Atwood SX, Sarin KY, Whitson RJ, et al. Smoothened variants explain the majority of drug resistance in basal cell carcinoma. Cancer Cell. 2015;27:342-353.
- Ridky TW, Cotsarelis G. Vismodegib resistance in basal cell carcinoma: not a smooth fit. Cancer Cell. 2015;27:315-316.
- Aasi S, Silkiss R, Tang JY, et al. New onset of keratoacanthomas after vismodegib treatment for locally advanced basal cell carcinomas: a report of 2 cases. JAMA Dermatol. 2013;149:242-243.
- Orouji A, Goerdt S, Utikal J, et al. Multiple highly and moderately differentiated squamous cell carcinomas of the skin during vismodegib treatment of inoperable basal cell carcinoma. Br J Dermatol. 2014;171:431-433.
- Iarrobino A, Messina JL, Kudchadkar R, et al. Emergence of a squamous cell carcinoma phenotype following treatment of metastatic basal cell carcinoma with vismodegib. J Am Acad Dermatol. 2013;69:e33-e34.
- Saintes C, Saint-Jean M, Brocard A, et al. Development of squamous cell carcinoma into basal cell carcinoma under treatment with vismodegib. J Eur Acad Dermatol Venereol. 2015;29:1006-1009.
- Mohan SV, Chang J, Li S, et al. Increased risk of cutaneous squamous cell carcinoma after vismodegib therapy for basal cell carcinoma. JAMA Dermatol. 2016;152:527-532.
- Zhao X, Ponomaryov T, Ornell KJ, et al. RAS/MAPK activation drives resistance to Smo inhibition, metastasis, and tumor evolution in Shh pathway-dependent tumors. Cancer Res. 2015;75:3623-3635.
- Chang AL, Oro AE. Initial assessment of tumor regrowth after vismodegib in advanced basal cell carcinoma. Arch Dermatol. 2012;148:1324-1325.
- Damsky W, King BA. JAK inhibitors in dermatology: the promise of a new drug class. J Am Acad Dermatol. 2017;76:736-744.
- Harrison CN, Vannucchi AM, Kiladjian JJ, et al. Long-term findings from COMFORT-II, a phase 3 study of ruxolitinib vs best available therapy for myelofibrosis. Leukemia. 2016;30:1701-1707.
- Verstovsek S, Vannucchi AM, Griesshammer M, et al. Ruxolitinib versus best available therapy in patients with polycythemia vera: 80-week follow-up from the RESPONSE trial. Haematologica. 2016;101:821-829.
- Verstovsek S, Mesa RA, Gotlib J, et al; COMFORT-I investigators. Long-term treatment with ruxolitinib for patients with myelofibrosis: 5-year update from the randomized, double-blind, placebo-controlled, phase 3 COMFORT-I trial. J Hematol Oncol. 2017;10:55.
- Blechman AB, Cabell CE, Weinberger CH, et al. Aggressive skin cancers occurring in patients treated with the Janus kinase inhibitor ruxolitinib. J Drugs Dermatol. 2017;16:508-511.
- Papp KA, Menter MA, Abe M, et al; OPT Pivotal 1 and OPT Pivotal 2 investigators. Tofacitinib, an oral Janus kinase inhibitor, for the treatment of chronic plaque psoriasis: results from two randomized, placebo-controlled, phase III trials. Br J Dermatol. 2015;173:949-961.
- Wellbrock C, Karasarides M, Marais R. The RAF proteins take centre stage. Nat Rev Mol Cell Biol. 2004;5:875-885.
- Gray-Schopfer V, Wellbrock C, Marais R. Melanoma biology and new targeted therapy. Nature. 2007;445:851-857.
- Arozarena I, Sanchez-Laorden B, Packer L, et al. Oncogenic BRAF induces melanoma cell invasion by downregulating the cGMP-specific phosphodiesterase PDE5A. Cancer Cell. 2011;19:45-57.
- Houslay MD. Hard times for oncogenic BRAF-expressing melanoma cells. Cancer Cell. 2011;19:3-4.
- Li WQ, Qureshi AA, Robinson KC, et al. Sildenafil use and increased risk of incident melanoma in US men: a prospective cohort study. JAMA Intern Med. 2014;174:964-970.
- Loeb S, Folkvaljon Y, Lambe M, et al. Use of phosphodiesterase type 5 inhibitors for erectile dysfunction and risk of malignant melanoma. JAMA. 2015;313:2449-2455.
- Lian Y, Yin H, Pollak MN, et al. Phosphodiesterase type 5 inhibitors and the risk of melanoma skin cancer. Eur Urol. 2016;70:808-815.
- Tang H, Wu W, Fu S, et al. Phosphodiesterase type 5 inhibitors and risk of melanoma: a meta-analysis. J Am Acad Dermatol. 2017;77:480.e9-488.e9.
Practice Points
- Patients should be educated about the increased risk for skin malignancy while undergoing treatment with BRAF inhibitors, sonic hedgehog–inhibiting agents, Janus kinase (JAK) inhibitors, and phosphodiesterase 5 (PDE-5) inhibitors.
- For BRAF inhibitors, sonic hedgehog–inhibiting agents, and JAK inhibitors, the increased risk for skin cancer warrants regular surveillance; however, given the indications for these medications, many patients will already be receiving regular skin screenings.
- The association between PDE-5 inhibitors and melanoma as well as nonmelanoma skin cancer remains questionable, and increased skin surveillance is not recommended at this time, unless patients have other risk factors for cutaneous malignancy.
Best practice alerts really can work
SAN ANTONIO – Clinicians don’t appear to mind too much when their red blood cell orders are flagged for review by a best practice alert system, and alert fatigue doesn’t seem to hamper patient blood management efforts, investigators in a single-center study reported.
At the Medical University of South Carolina, Charleston (MUSC), if clinicians order RBC transfusions for patients with hemoglobin levels over 7.0 g/dL or for patients who did not have a hemoglobin determination over the past 24 hours, they receive a best practice alert. They must acknowledge it and cancel the order, or override it and document a reason in the medical record.
Although approximately 70% of alerts were overridden, the reasons for the overrides “were consistent over time and appropriate,” reported Jerry E. Squires, MD, PhD, and colleagues from MUSC in a poster presentation at the annual meeting of AABB, the group formerly known as the American Association of Blood Banks.
The goal of the study was to find out if the effectiveness of the alert was wearing out after months of active use by clinicians. “Is it true that they’re clicking too much and they’re inundated with other [best practice alerts], and are they even paying attention?” said coauthor Heather Toeppner, RN, also from MUSC, in an interview. “All in all, we found that the alert is making a lasting impression in our institution,” she said.
Transfusion clinical decision support systems that produce automated alerts for clinicians can improve usage and reduce waste of RBCs, but whether the effect is sustained over time was unknown, Ms. Toeppner said, prompting the investigators to study the effect of the RBC best practice alert over 10 months.
As noted, the alert is triggered when providers order RBCs for patients with hemoglobin levels over 7.0 g/dL or when there is no record of a hemoglobin test in the chart within the past 24 hours. Before the alert is triggered, however, the system reviews the record and excludes alerts for patients with specific conditions, such as concurrent surgery or sickle cell disease.
The authors found that the alert was triggered an average of 195 times per month over the 10 months studied. On average, 16% of the alerts resulted in a cancellation of the RBC order, and 71% of alerts were overridden.
“Most importantly, there was no trend suggesting that either cancellation of the RBC order or overriding the alert became more frequent over time,” the investigators wrote. “Similarly, reasons for overriding the alert were consistent over time, with ‘preparation for an invasive procedure’ and ‘active bleeding’ being the most common reasons for overriding the alert (32% and 23% of all overrides, respectively).”
Other common reasons for overrides included tachycardia, shortness of breath, hypotension, onset of chest pain, and acute coronary syndrome.
Interestingly, but perhaps not surprisingly, they found that overrides dropped sharply and changed orders rose by the same magnitude in July, when new residents started their rotations.
The investigators wrote that the relatively small number of alerts may be attributable to their institution’s robust patient blood management program and the intentional exclusion of orders for patients with specific diagnostic codes, including intraoperative patients, those with sickle cell disease, and all patients aged younger than 18 years.
The study was internally funded. The authors reported having no conflicts of interest.
SAN ANTONIO – Clinicians don’t appear to mind too much when their red blood cell orders are flagged for review by a best practice alert system, and alert fatigue doesn’t seem to hamper patient blood management efforts, investigators in a single-center study reported.
At the Medical University of South Carolina, Charleston (MUSC), if clinicians order RBC transfusions for patients with hemoglobin levels over 7.0 g/dL or for patients who did not have a hemoglobin determination over the past 24 hours, they receive a best practice alert. They must acknowledge it and cancel the order, or override it and document a reason in the medical record.
Although approximately 70% of alerts were overridden, the reasons for the overrides “were consistent over time and appropriate,” reported Jerry E. Squires, MD, PhD, and colleagues from MUSC in a poster presentation at the annual meeting of AABB, the group formerly known as the American Association of Blood Banks.
The goal of the study was to find out if the effectiveness of the alert was wearing out after months of active use by clinicians. “Is it true that they’re clicking too much and they’re inundated with other [best practice alerts], and are they even paying attention?” said coauthor Heather Toeppner, RN, also from MUSC, in an interview. “All in all, we found that the alert is making a lasting impression in our institution,” she said.
Transfusion clinical decision support systems that produce automated alerts for clinicians can improve usage and reduce waste of RBCs, but whether the effect is sustained over time was unknown, Ms. Toeppner said, prompting the investigators to study the effect of the RBC best practice alert over 10 months.
As noted, the alert is triggered when providers order RBCs for patients with hemoglobin levels over 7.0 g/dL or when there is no record of a hemoglobin test in the chart within the past 24 hours. Before the alert is triggered, however, the system reviews the record and excludes alerts for patients with specific conditions, such as concurrent surgery or sickle cell disease.
The authors found that the alert was triggered an average of 195 times per month over the 10 months studied. On average, 16% of the alerts resulted in a cancellation of the RBC order, and 71% of alerts were overridden.
“Most importantly, there was no trend suggesting that either cancellation of the RBC order or overriding the alert became more frequent over time,” the investigators wrote. “Similarly, reasons for overriding the alert were consistent over time, with ‘preparation for an invasive procedure’ and ‘active bleeding’ being the most common reasons for overriding the alert (32% and 23% of all overrides, respectively).”
Other common reasons for overrides included tachycardia, shortness of breath, hypotension, onset of chest pain, and acute coronary syndrome.
Interestingly, but perhaps not surprisingly, they found that overrides dropped sharply and changed orders rose by the same magnitude in July, when new residents started their rotations.
The investigators wrote that the relatively small number of alerts may be attributable to their institution’s robust patient blood management program and the intentional exclusion of orders for patients with specific diagnostic codes, including intraoperative patients, those with sickle cell disease, and all patients aged younger than 18 years.
The study was internally funded. The authors reported having no conflicts of interest.
SAN ANTONIO – Clinicians don’t appear to mind too much when their red blood cell orders are flagged for review by a best practice alert system, and alert fatigue doesn’t seem to hamper patient blood management efforts, investigators in a single-center study reported.
At the Medical University of South Carolina, Charleston (MUSC), if clinicians order RBC transfusions for patients with hemoglobin levels over 7.0 g/dL or for patients who did not have a hemoglobin determination over the past 24 hours, they receive a best practice alert. They must acknowledge it and cancel the order, or override it and document a reason in the medical record.
Although approximately 70% of alerts were overridden, the reasons for the overrides “were consistent over time and appropriate,” reported Jerry E. Squires, MD, PhD, and colleagues from MUSC in a poster presentation at the annual meeting of AABB, the group formerly known as the American Association of Blood Banks.
The goal of the study was to find out if the effectiveness of the alert was wearing out after months of active use by clinicians. “Is it true that they’re clicking too much and they’re inundated with other [best practice alerts], and are they even paying attention?” said coauthor Heather Toeppner, RN, also from MUSC, in an interview. “All in all, we found that the alert is making a lasting impression in our institution,” she said.
Transfusion clinical decision support systems that produce automated alerts for clinicians can improve usage and reduce waste of RBCs, but whether the effect is sustained over time was unknown, Ms. Toeppner said, prompting the investigators to study the effect of the RBC best practice alert over 10 months.
As noted, the alert is triggered when providers order RBCs for patients with hemoglobin levels over 7.0 g/dL or when there is no record of a hemoglobin test in the chart within the past 24 hours. Before the alert is triggered, however, the system reviews the record and excludes alerts for patients with specific conditions, such as concurrent surgery or sickle cell disease.
The authors found that the alert was triggered an average of 195 times per month over the 10 months studied. On average, 16% of the alerts resulted in a cancellation of the RBC order, and 71% of alerts were overridden.
“Most importantly, there was no trend suggesting that either cancellation of the RBC order or overriding the alert became more frequent over time,” the investigators wrote. “Similarly, reasons for overriding the alert were consistent over time, with ‘preparation for an invasive procedure’ and ‘active bleeding’ being the most common reasons for overriding the alert (32% and 23% of all overrides, respectively).”
Other common reasons for overrides included tachycardia, shortness of breath, hypotension, onset of chest pain, and acute coronary syndrome.
Interestingly, but perhaps not surprisingly, they found that overrides dropped sharply and changed orders rose by the same magnitude in July, when new residents started their rotations.
The investigators wrote that the relatively small number of alerts may be attributable to their institution’s robust patient blood management program and the intentional exclusion of orders for patients with specific diagnostic codes, including intraoperative patients, those with sickle cell disease, and all patients aged younger than 18 years.
The study was internally funded. The authors reported having no conflicts of interest.
REPORTING FROM AABB 2019
Previously healthy patients hospitalized for sepsis show increased mortality
WASHINGTON – Although severe, community-acquired sepsis in previously healthy U.S. adults is relatively uncommon, it occurs often enough to strike about 40,000 people annually, and when previously healthy people are hospitalized for severe sepsis, their rate of in-hospital mortality was double the rate in people with one or more comorbidities who have severe, community-acquired sepsis, based on a review of almost 7 million Americans hospitalized for sepsis.
The findings “underscore the importance of improving public awareness of sepsis and emphasizing early sepsis recognition and treatment in all patients,” including those without comorbidities, Chanu Rhee, MD, said at an annual scientific meeting on infectious diseases. He hypothesized that the increased sepsis mortality among previously healthy patients may have stemmed from factors such as delayed sepsis recognition resulting in hospitalization at a more advanced stage and less aggressive management.
In addition, “the findings provide context for high-profile reports about sepsis death in previously healthy people,” said Dr. Rhee, an infectious diseases and critical care physician at Brigham and Women’s Hospital in Boston. Dr. Rhee and associates found that, among patients hospitalized with what the researchers defined as “community-acquired” sepsis, 3% were judged previously healthy by having no identified major or minor comorbidity or pregnancy at the time of hospitalization, a percentage that – while small – still translates into roughly 40,000 such cases annually in the United States. That helps explain why every so often a headline appears about a famous person who died suddenly and unexpectedly from sepsis, he noted.
The study used data collected on hospitalized U.S. patients in the Cerner Health Facts, HCA Healthcare, and Institute for Health Metrics and Evaluation databases, which included about 6.7 million people total including 337,983 identified as having community-acquired sepsis, defined as patients who met the criteria for adult sepsis advanced by the Centers for Disease Control and Prevention within 2 days of their hospital admission. The researchers looked further into the hospital records of these patients and divided them into patients with one or more major comorbidities (96% of the cohort), patients who were pregnant or had a “minor” comorbidity such as a lipid disorder, benign neoplasm, or obesity (1% of the study group), or those with no chronic comorbidity (3%; the subgroup the researchers deemed previously healthy).
In a multivariate analysis that adjusted for patients’ age, sex, race, infection site, and illness severity at the time of hospital admission the researchers found that the rate of in-hospital death among the previously healthy patients was exactly twice the rate of those who had at least one major chronic comorbidity, Dr. Rhee reported. Differences in the treatment received by the previously-healthy patients or in their medical status compared with patients with a major comorbidity suggested that the previously health patients were sicker. They had a higher rate of mechanical ventilation, 30%, compared with about 18% for those with a comorbidity; a higher rate of acute kidney injury, about 43% in those previously healthy and 28% in those with a comorbidity; and a higher percentage had an elevated lactate level, about 41% among the previously healthy patients and about 22% among those with a comorbidity.
SOURCE: Alrawashdeh M et al. Open Forum Infect Dis. 2019 Oct 23;6. Abstract 891.
WASHINGTON – Although severe, community-acquired sepsis in previously healthy U.S. adults is relatively uncommon, it occurs often enough to strike about 40,000 people annually, and when previously healthy people are hospitalized for severe sepsis, their rate of in-hospital mortality was double the rate in people with one or more comorbidities who have severe, community-acquired sepsis, based on a review of almost 7 million Americans hospitalized for sepsis.
The findings “underscore the importance of improving public awareness of sepsis and emphasizing early sepsis recognition and treatment in all patients,” including those without comorbidities, Chanu Rhee, MD, said at an annual scientific meeting on infectious diseases. He hypothesized that the increased sepsis mortality among previously healthy patients may have stemmed from factors such as delayed sepsis recognition resulting in hospitalization at a more advanced stage and less aggressive management.
In addition, “the findings provide context for high-profile reports about sepsis death in previously healthy people,” said Dr. Rhee, an infectious diseases and critical care physician at Brigham and Women’s Hospital in Boston. Dr. Rhee and associates found that, among patients hospitalized with what the researchers defined as “community-acquired” sepsis, 3% were judged previously healthy by having no identified major or minor comorbidity or pregnancy at the time of hospitalization, a percentage that – while small – still translates into roughly 40,000 such cases annually in the United States. That helps explain why every so often a headline appears about a famous person who died suddenly and unexpectedly from sepsis, he noted.
The study used data collected on hospitalized U.S. patients in the Cerner Health Facts, HCA Healthcare, and Institute for Health Metrics and Evaluation databases, which included about 6.7 million people total including 337,983 identified as having community-acquired sepsis, defined as patients who met the criteria for adult sepsis advanced by the Centers for Disease Control and Prevention within 2 days of their hospital admission. The researchers looked further into the hospital records of these patients and divided them into patients with one or more major comorbidities (96% of the cohort), patients who were pregnant or had a “minor” comorbidity such as a lipid disorder, benign neoplasm, or obesity (1% of the study group), or those with no chronic comorbidity (3%; the subgroup the researchers deemed previously healthy).
In a multivariate analysis that adjusted for patients’ age, sex, race, infection site, and illness severity at the time of hospital admission the researchers found that the rate of in-hospital death among the previously healthy patients was exactly twice the rate of those who had at least one major chronic comorbidity, Dr. Rhee reported. Differences in the treatment received by the previously-healthy patients or in their medical status compared with patients with a major comorbidity suggested that the previously health patients were sicker. They had a higher rate of mechanical ventilation, 30%, compared with about 18% for those with a comorbidity; a higher rate of acute kidney injury, about 43% in those previously healthy and 28% in those with a comorbidity; and a higher percentage had an elevated lactate level, about 41% among the previously healthy patients and about 22% among those with a comorbidity.
SOURCE: Alrawashdeh M et al. Open Forum Infect Dis. 2019 Oct 23;6. Abstract 891.
WASHINGTON – Although severe, community-acquired sepsis in previously healthy U.S. adults is relatively uncommon, it occurs often enough to strike about 40,000 people annually, and when previously healthy people are hospitalized for severe sepsis, their rate of in-hospital mortality was double the rate in people with one or more comorbidities who have severe, community-acquired sepsis, based on a review of almost 7 million Americans hospitalized for sepsis.
The findings “underscore the importance of improving public awareness of sepsis and emphasizing early sepsis recognition and treatment in all patients,” including those without comorbidities, Chanu Rhee, MD, said at an annual scientific meeting on infectious diseases. He hypothesized that the increased sepsis mortality among previously healthy patients may have stemmed from factors such as delayed sepsis recognition resulting in hospitalization at a more advanced stage and less aggressive management.
In addition, “the findings provide context for high-profile reports about sepsis death in previously healthy people,” said Dr. Rhee, an infectious diseases and critical care physician at Brigham and Women’s Hospital in Boston. Dr. Rhee and associates found that, among patients hospitalized with what the researchers defined as “community-acquired” sepsis, 3% were judged previously healthy by having no identified major or minor comorbidity or pregnancy at the time of hospitalization, a percentage that – while small – still translates into roughly 40,000 such cases annually in the United States. That helps explain why every so often a headline appears about a famous person who died suddenly and unexpectedly from sepsis, he noted.
The study used data collected on hospitalized U.S. patients in the Cerner Health Facts, HCA Healthcare, and Institute for Health Metrics and Evaluation databases, which included about 6.7 million people total including 337,983 identified as having community-acquired sepsis, defined as patients who met the criteria for adult sepsis advanced by the Centers for Disease Control and Prevention within 2 days of their hospital admission. The researchers looked further into the hospital records of these patients and divided them into patients with one or more major comorbidities (96% of the cohort), patients who were pregnant or had a “minor” comorbidity such as a lipid disorder, benign neoplasm, or obesity (1% of the study group), or those with no chronic comorbidity (3%; the subgroup the researchers deemed previously healthy).
In a multivariate analysis that adjusted for patients’ age, sex, race, infection site, and illness severity at the time of hospital admission the researchers found that the rate of in-hospital death among the previously healthy patients was exactly twice the rate of those who had at least one major chronic comorbidity, Dr. Rhee reported. Differences in the treatment received by the previously-healthy patients or in their medical status compared with patients with a major comorbidity suggested that the previously health patients were sicker. They had a higher rate of mechanical ventilation, 30%, compared with about 18% for those with a comorbidity; a higher rate of acute kidney injury, about 43% in those previously healthy and 28% in those with a comorbidity; and a higher percentage had an elevated lactate level, about 41% among the previously healthy patients and about 22% among those with a comorbidity.
SOURCE: Alrawashdeh M et al. Open Forum Infect Dis. 2019 Oct 23;6. Abstract 891.
REPORTING FROM ID WEEK 2019
Las Vegas Dermatology Seminar kicks off on Thursday
The annual Skin Disease Education Foundation’s Las Vegas Dermatology Seminar gets underway Thursday and will feature presentations on topics ranging from updates on acne, hyperhidrosis, and rosacea, to pigmentation disorders and connective tissue disease. The annual Psoriasis Forum at the meeting will feature talks on tumor necrosis factor inhibitors and interleukin-17 inhibitors, as well as presentations on phototherapy, emerging treatments, and IL-12/23 and IL-23 inhibitors. The Atopic Dermatology Forum will address new horizons in treatment, pediatric inflammatory disease, and the pathophysiology of atopic dermatitis.
The meeting wraps up on Saturday, with a slate of aesthetic dermatology presentations, kicking off with “Assessment of the Aging Face” and ending with “An Overview of Tissue-Tightening Devices.”
New this year is the Cutaneous Malignancies Forum, which is being held today, one day before the regular Las Vegas Dermatology Seminar program begins. With a focus on contemporary issues in effective diagnosis and treatment of cutaneous malignancies, the forum is cochaired by Sancy Leachman, MD, PhD, professor and chair of the department of dermatology, and the John D. Gray endowed chair in melanoma research, at Oregon Health & Science Center, Portland, and Mohammed Kashani-Sabet, MD, director of the Center for Melanoma Research and Treatment, at the California Pacific Medical Research Institute, San Francisco. The forum will feature four sessions: melanoma, keratinocyte carcinomas, cutaneous T-cell lymphoma, and Merkel cell carcinoma.
SDEF and this news organization are owned by the same parent company. For full coverage, go to www.mdedge.com/dermatology.
The annual Skin Disease Education Foundation’s Las Vegas Dermatology Seminar gets underway Thursday and will feature presentations on topics ranging from updates on acne, hyperhidrosis, and rosacea, to pigmentation disorders and connective tissue disease. The annual Psoriasis Forum at the meeting will feature talks on tumor necrosis factor inhibitors and interleukin-17 inhibitors, as well as presentations on phototherapy, emerging treatments, and IL-12/23 and IL-23 inhibitors. The Atopic Dermatology Forum will address new horizons in treatment, pediatric inflammatory disease, and the pathophysiology of atopic dermatitis.
The meeting wraps up on Saturday, with a slate of aesthetic dermatology presentations, kicking off with “Assessment of the Aging Face” and ending with “An Overview of Tissue-Tightening Devices.”
New this year is the Cutaneous Malignancies Forum, which is being held today, one day before the regular Las Vegas Dermatology Seminar program begins. With a focus on contemporary issues in effective diagnosis and treatment of cutaneous malignancies, the forum is cochaired by Sancy Leachman, MD, PhD, professor and chair of the department of dermatology, and the John D. Gray endowed chair in melanoma research, at Oregon Health & Science Center, Portland, and Mohammed Kashani-Sabet, MD, director of the Center for Melanoma Research and Treatment, at the California Pacific Medical Research Institute, San Francisco. The forum will feature four sessions: melanoma, keratinocyte carcinomas, cutaneous T-cell lymphoma, and Merkel cell carcinoma.
SDEF and this news organization are owned by the same parent company. For full coverage, go to www.mdedge.com/dermatology.
The annual Skin Disease Education Foundation’s Las Vegas Dermatology Seminar gets underway Thursday and will feature presentations on topics ranging from updates on acne, hyperhidrosis, and rosacea, to pigmentation disorders and connective tissue disease. The annual Psoriasis Forum at the meeting will feature talks on tumor necrosis factor inhibitors and interleukin-17 inhibitors, as well as presentations on phototherapy, emerging treatments, and IL-12/23 and IL-23 inhibitors. The Atopic Dermatology Forum will address new horizons in treatment, pediatric inflammatory disease, and the pathophysiology of atopic dermatitis.
The meeting wraps up on Saturday, with a slate of aesthetic dermatology presentations, kicking off with “Assessment of the Aging Face” and ending with “An Overview of Tissue-Tightening Devices.”
New this year is the Cutaneous Malignancies Forum, which is being held today, one day before the regular Las Vegas Dermatology Seminar program begins. With a focus on contemporary issues in effective diagnosis and treatment of cutaneous malignancies, the forum is cochaired by Sancy Leachman, MD, PhD, professor and chair of the department of dermatology, and the John D. Gray endowed chair in melanoma research, at Oregon Health & Science Center, Portland, and Mohammed Kashani-Sabet, MD, director of the Center for Melanoma Research and Treatment, at the California Pacific Medical Research Institute, San Francisco. The forum will feature four sessions: melanoma, keratinocyte carcinomas, cutaneous T-cell lymphoma, and Merkel cell carcinoma.
SDEF and this news organization are owned by the same parent company. For full coverage, go to www.mdedge.com/dermatology.