Key points are not available for this paper at this time.
Background SGLT2 (sodium‐glucose cotransporter 2) inhibitors reduce major adverse cardiovascular events (MACE) in type 2 diabetes. However, no direct comparison of individual SGLT2 inhibitor drugs has been conducted, particularly among adults with moderate cardiovascular risk who comprise most people with type 2 diabetes. Methods We used data for commercial, Medicare Advantage, and Medicare fee‐for‐service beneficiaries to emulate a target trial of adults (≥21 years) with type 2 diabetes and moderate cardiovascular risk who started canagliflozin, dapagliflozin, or empagliflozin between 2015 and 2020. We estimated propensity scores using the super learner ensemble method and incorporated them as inverse probability of treatment weights into Cox models, estimating risk of MACE, expanded MACE, and hyperglycemic and hypoglycemic crises through December 31, 2022. Results The weighted cohort, balanced on all baseline covariates, included 137 232 patients (mean age 65.7 years SD, 8.1, 75.3% non‐Hispanic White, 57.0% male, 81.9% on metformin, 11.4% on glucagon‐like peptide‐1 receptor agonists) starting canagliflozin (N=42 877), dapagliflozin (N=17 871), or empagliflozin (N=7648). The risk of MACE was lower among patients starting empagliflozin versus canagliflozin (hazard ratio HR, 0.92 95% CI, 0.87–0.97), driven by reduced risk of all‐cause mortality (HR, 0.86 95% CI, 0.80–0.94). There was no difference in MACE between empagliflozin versus dapagliflozin or dapagliflozin versus canagliflozin therapy. There was no difference in remaining outcomes between the three drugs. Conclusions The 3 most used SGLT2 inhibitor medications demonstrate similar effectiveness on cardiovascular outcomes among patients with type 2 diabetes at moderate cardiovascular risk, with differences between these drugs small in magnitude. Clinicians and health systems should prioritize enhancing access to these cardioprotective therapies.
Building similarity graph...
Analyzing shared references across papers
Loading...
Anum Zehra
Yihong Deng
Kavya Sindhu Swarna
Journal of the American Heart Association
Yale University
University of Chicago
Emory University
Building similarity graph...
Analyzing shared references across papers
Loading...
Zehra et al. (Thu,) studied this question.
www.synapsesocial.com/papers/6a080b84a487c87a6a40d9b2 — DOI: https://doi.org/10.1161/jaha.125.046238