Comparative Safety of Dipeptidyl Peptidase-4 Inhibitors and Sudden Cardiac Arrest and Ventricular Arrhythmia: Population-Based Cohort Studies
- PMID: 34331322
- PMCID: PMC9450482
- DOI: 10.1002/cpt.2381
Comparative Safety of Dipeptidyl Peptidase-4 Inhibitors and Sudden Cardiac Arrest and Ventricular Arrhythmia: Population-Based Cohort Studies
Abstract
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.
© 2021 The Authors. Clinical Pharmacology & Therapeutics © 2021 American Society for Clinical Pharmacology and Therapeutics.
Conflict of interest statement
CONFLICT OF INTEREST
C.E.L. serves on the Executive Committee of SH directs the University of Pennsylvania’s Center for Pharmacoepidemiology Research Training. The Center receives funds for education from Pfizer Sanofi. C.E.L. has received honoraria from the University of Florida the American College of Clinical Pharmacy Foundation. C.E.L. receives travel support from John Wiley & Sons. S.H. has consulted for the Medullary Thyroid Cancer Consortium (Novo Nordisk, AstraZeneca, Eli Lilly, GlaxoSmithKline) on matters unrelated to the topic of this paper. W.B.B. has consulted for Genentech on matters unrelated to the topic of this paper. J.H.F. has consulted for Genentech, Eli Lilly, Boehringer Ingelheim on matters unrelated to the topic of this paper. S.E.K. has consulted for GlaxoSmithKline Janssen, unrelated to the contents of this study. Z.B. has consulted for Astra Zeneca, Merck, Boehringer Ingelheim, Sanofi on matters unrelated to the topic of this paper. All other authors declared no competing interests for this work.
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