TY - JOUR
T1 - Comparative Safety of Dipeptidyl Peptidase-4 Inhibitors and Sudden Cardiac Arrest and Ventricular Arrhythmia
T2 - Population-Based Cohort Studies
AU - Dawwas, Ghadeer K.
AU - Hennessy, Sean
AU - Brensinger, Colleen M.
AU - Deo, Rajat
AU - Bilker, Warren B.
AU - Soprano, Samantha E.
AU - Dhopeshwarkar, Neil
AU - Flory, James H.
AU - Bloomgarden, Zachary T.
AU - Aquilante, Christina L.
AU - Kimmel, Stephen E.
AU - Leonard, Charles E.
N1 - Funding Information:
This work was supported by grants from the American Diabetes Association (1‐18‐ICTS‐097) and the United States Department of Health and Human Services’ National Institute on Aging (R01AG060975, R01AG025152, and R01AG064589), National Institute on Drug Abuse (R01DA048001), National Institute of General Medical Sciences (T32GM075766), National Heart, Lung, and Blood Institute (F32HL154519), the National Cancer Institute (P30CA008748), and the Patient Centered Outcomes Research Institute (PCORI CER‐2017C3‐9230).
Publisher Copyright:
© 2021 The Authors. Clinical Pharmacology & Therapeutics © 2021 American Society for Clinical Pharmacology and Therapeutics
PY - 2022/1
Y1 - 2022/1
N2 - In vivo studies suggest that arrhythmia risk may be greater with less selective dipeptidyl peptidase-4 inhibitors, but evidence from population-based studies is missing. We aimed to compare saxagliptin, sitagliptin, and linagliptin with regard to risk of sudden cardiac arrest (SCA)/ventricular arrhythmia (VA). We conducted high-dimensional propensity score (hdPS) matched, new-user cohort studies. We analyzed Medicaid and Optum Clinformatics separately. We identified new users of saxagliptin, sitagliptin (both databases), and linagliptin (Optum only). We defined SCA/VA outcomes using emergency department and inpatient diagnoses. We identified and then controlled for confounders via a data-adaptive, hdPS approach. We generated marginal hazard ratios (HRs) via Cox proportional hazards regression using a robust variance estimator while adjusting for calendar year. We identified the following matched comparisons: saxagliptin vs. sitagliptin (23,895 vs. 96,972) in Medicaid, saxagliptin vs. sitagliptin (48,388 vs. 117,383) in Optum, and linagliptin vs. sitagliptin (36,820 vs. 78,701) in Optum. In Medicaid, use of saxagliptin (vs. sitagliptin) was associated with an increased rate of SCA/VA (adjusted HR (aHR), 2.01, 95% confidence interval (CI) 1.24–3.25). However, in Optum data, this finding was not present (aHR, 0.79, 95% CI 0.41–1.51). Further, we found no association between linagliptin (vs. sitagliptin) and SCA/VA (aHR, 0.65, 95% CI 0.36–1.17). We found discordant results regarding the association between SCA/VA with saxagliptin compared with sitagliptin in two independent datasets. It remains unclear whether these findings are due to heterogeneity of treatment effect in the different populations, chance, or unmeasured confounding.
AB - In vivo studies suggest that arrhythmia risk may be greater with less selective dipeptidyl peptidase-4 inhibitors, but evidence from population-based studies is missing. We aimed to compare saxagliptin, sitagliptin, and linagliptin with regard to risk of sudden cardiac arrest (SCA)/ventricular arrhythmia (VA). We conducted high-dimensional propensity score (hdPS) matched, new-user cohort studies. We analyzed Medicaid and Optum Clinformatics separately. We identified new users of saxagliptin, sitagliptin (both databases), and linagliptin (Optum only). We defined SCA/VA outcomes using emergency department and inpatient diagnoses. We identified and then controlled for confounders via a data-adaptive, hdPS approach. We generated marginal hazard ratios (HRs) via Cox proportional hazards regression using a robust variance estimator while adjusting for calendar year. We identified the following matched comparisons: saxagliptin vs. sitagliptin (23,895 vs. 96,972) in Medicaid, saxagliptin vs. sitagliptin (48,388 vs. 117,383) in Optum, and linagliptin vs. sitagliptin (36,820 vs. 78,701) in Optum. In Medicaid, use of saxagliptin (vs. sitagliptin) was associated with an increased rate of SCA/VA (adjusted HR (aHR), 2.01, 95% confidence interval (CI) 1.24–3.25). However, in Optum data, this finding was not present (aHR, 0.79, 95% CI 0.41–1.51). Further, we found no association between linagliptin (vs. sitagliptin) and SCA/VA (aHR, 0.65, 95% CI 0.36–1.17). We found discordant results regarding the association between SCA/VA with saxagliptin compared with sitagliptin in two independent datasets. It remains unclear whether these findings are due to heterogeneity of treatment effect in the different populations, chance, or unmeasured confounding.
UR - http://www.scopus.com/inward/record.url?scp=85112687599&partnerID=8YFLogxK
U2 - 10.1002/cpt.2381
DO - 10.1002/cpt.2381
M3 - Article
C2 - 34331322
AN - SCOPUS:85112687599
VL - 111
SP - 227
EP - 242
JO - Clinical Pharmacology and Therapeutics
JF - Clinical Pharmacology and Therapeutics
SN - 0009-9236
IS - 1
ER -