Empagliflozin and the Risk of Heart Failure Hospitalization in Routine Clinical Care
Top Cited Papers
- 18 June 2019
- journal article
- research article
- Published by Wolters Kluwer Health in Circulation
- Vol. 139 (25) , 2822-2830
Abstract
Background: The EMPA-REG OUTCOME trial (Empagliflozin Cardiovascular Outcome Event Trial in Type 2 diabetes Mellitus Patients) showed that empagliflozin, a sodium-glucose cotransporter-2 inhibitor, reduces the risk of hospitalization for heart failure (HHF) by 35%, on top of standard of care in patients with type 2 diabetes mellitus (T2D) and established cardiovascular disease. The EMPRISE (Empagliflozin Comparative Effectiveness and Safety) study aims to assess empagliflozin’s effectiveness, safety, and healthcare utilization in routine care from August 2014 through September 2019. In this first interim analysis, we investigated the risk of HHF among T2D patients initiating empagliflozin versus sitagliptin, a dipeptidyl peptidase-4 inhibitor. Methods: Within 2 commercial and 1 federal (Medicare) claims data sources in the United States, we identified a 1:1 propensity score–matched cohort of T2D patients ≥18 years old initiating empagliflozin or sitagliptin from August 2014 through September 2016. The HHF outcome was defined as a HF discharge diagnosis in the primary position (HHF-specific); a broader definition was based on a HF discharge diagnosis in any position (HHF-broad). Hazard ratios (HRs) and 95% CIs were estimated controlling for over 140 baseline characteristics in each data source and pooled by fixed-effects meta-analysis. Results: After propensity-score matching, we identified 16,443 patient pairs who initiated empagliflozin or sitagliptin. Average age was approximately 59 years, almost 54% of the participants were males, and approximately 25% had records of existing cardiovascular disease. Compared with sitagliptin, the initiation of empagliflozin decreased the risk of HHF-specific by 50% (HR, 0.50; 95% CI, 0.28–0.91), and the risk of HHF-broad by 49% (HR, 0.51;95% CI, 0.39–0.68), over a mean follow-up of 5.3 months. The results were consistent in patients with and without baseline cardiovascular disease, and for empagliflozin at both the 10- and 25-mg daily doses; analyses comparing empagliflozin versus the dipeptidyl peptidase-4 inhibitor class, and comparing sodium-glucose cotransporter-2 inhibitor versus dipeptidyl peptidase-4 inhibitor classes also produced consistent findings. Conclusions: The first interim analysis from EMPRISE showed that compared with sitagliptin, the initiation of empagliflozin was associated with a decreased risk of HHF among patients with T2D as treated in routine care, with and without a history of cardiovascular disease. Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT03363464.Keywords
This publication has 25 references indexed in Scilit:
- Effect of Sitagliptin on Cardiovascular Outcomes in Type 2 DiabetesNew England Journal of Medicine, 2015
- Management of Hyperglycemia in Type 2 Diabetes, 2015: A Patient-Centered Approach: Update to a Position Statement of the American Diabetes Association and the European Association for the Study of DiabetesDiabetes Care, 2014
- Observational studies of the association between glucose-lowering medications and cardiovascular outcomes: addressing methodological limitationsDiabetologia, 2014
- Metrics for covariate balance in cohort studies of causal effectsStatistics in Medicine, 2013
- One‐to‐many propensity score matching in cohort studiesPharmacoepidemiology and Drug Safety, 2012
- A systematic review of validated methods for identifying heart failure using administrative dataPharmacoepidemiology and Drug Safety, 2012
- A combined comorbidity score predicted mortality in elderly patients better than existing scoresJournal of Clinical Epidemiology, 2011
- A basic study design for expedited safety signal evaluation based on electronic healthcare dataPharmacoepidemiology and Drug Safety, 2010
- Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samplesStatistics in Medicine, 2009
- High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims DataEpidemiology, 2009