Literature DB >> 30955357

Empagliflozin and the Risk of Heart Failure Hospitalization in Routine Clinical Care.

Elisabetta Patorno1, Ajinkya Pawar1, Jessica M Franklin1, Mehdi Najafzadeh1, Anouk Déruaz-Luyet2, Kimberly G Brodovicz2,3, Steven Sambevski2, Lily G Bessette1, Adrian J Santiago Ortiz1, Martin Kulldorff1, Sebastian Schneeweiss1.   

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.

Entities:  

Keywords:  comparative effectiveness research; diabetes mellitus, type 2; dipeptidyl peptidase-4 inhibitors; empagliflozin; heart failure; sodium-glucose cotransporter-2 inhibitor

Mesh:

Substances:

Year:  2019        PMID: 30955357      PMCID: PMC6594384          DOI: 10.1161/CIRCULATIONAHA.118.039177

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  25 in total

Review 1.  A systematic review of validated methods for identifying heart failure using administrative data.

Authors:  Jane S Saczynski; Susan E Andrade; Leslie R Harrold; Jennifer Tjia; Sarah L Cutrona; Katherine S Dodd; Robert J Goldberg; Jerry H Gurwitz
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-01       Impact factor: 2.890

2.  Metrics for covariate balance in cohort studies of causal effects.

Authors:  Jessica M Franklin; Jeremy A Rassen; Diana Ackermann; Dorothee B Bartels; Sebastian Schneeweiss
Journal:  Stat Med       Date:  2013-12-09       Impact factor: 2.373

Review 3.  Observational studies of the association between glucose-lowering medications and cardiovascular outcomes: addressing methodological limitations.

Authors:  Elisabetta Patorno; Amanda R Patrick; Elizabeth M Garry; Sebastian Schneeweiss; Victoria G Gillet; Dorothee B Bartels; Elvira Masso-Gonzalez; John D Seeger
Journal:  Diabetologia       Date:  2014-09-12       Impact factor: 10.122

4.  A combined comorbidity score predicted mortality in elderly patients better than existing scores.

Authors:  Joshua J Gagne; Robert J Glynn; Jerry Avorn; Raisa Levin; Sebastian Schneeweiss
Journal:  J Clin Epidemiol       Date:  2011-01-05       Impact factor: 6.437

5.  A basic study design for expedited safety signal evaluation based on electronic healthcare data.

Authors:  Sebastian Schneeweiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-08       Impact factor: 2.890

6.  One-to-many propensity score matching in cohort studies.

Authors:  Jeremy A Rassen; Abhi A Shelat; Jessica Myers; Robert J Glynn; Kenneth J Rothman; Sebastian Schneeweiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-05       Impact factor: 2.890

7.  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 Diabetes.

Authors:  Silvio E Inzucchi; Richard M Bergenstal; John B Buse; Michaela Diamant; Ele Ferrannini; Michael Nauck; Anne L Peters; Apostolos Tsapas; Richard Wender; David R Matthews
Journal:  Diabetes Care       Date:  2015-01       Impact factor: 19.112

8.  Effect of Sitagliptin on Cardiovascular Outcomes in Type 2 Diabetes.

Authors:  Jennifer B Green; M Angelyn Bethel; Paul W Armstrong; John B Buse; Samuel S Engel; Jyotsna Garg; Robert Josse; Keith D Kaufman; Joerg Koglin; Scott Korn; John M Lachin; Darren K McGuire; Michael J Pencina; Eberhard Standl; Peter P Stein; Shailaja Suryawanshi; Frans Van de Werf; Eric D Peterson; Rury R Holman
Journal:  N Engl J Med       Date:  2015-06-08       Impact factor: 91.245

9.  High-dimensional propensity score adjustment in studies of treatment effects using health care claims data.

Authors:  Sebastian Schneeweiss; Jeremy A Rassen; Robert J Glynn; Jerry Avorn; Helen Mogun; M Alan Brookhart
Journal:  Epidemiology       Date:  2009-07       Impact factor: 4.822

10.  Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.

Authors:  Peter C Austin
Journal:  Stat Med       Date:  2009-11-10       Impact factor: 2.373

View more
  63 in total

1.  Stopping Empagliflozin Unmasks Heart Failure.

Authors:  Morolake Amole; Julio Leey-Casella
Journal:  Fed Pract       Date:  2021-11

Review 2.  Mechanisms of diabetic cardiomyopathy and potential therapeutic strategies: preclinical and clinical evidence.

Authors:  Yi Tan; Zhiguo Zhang; Chao Zheng; Kupper A Wintergerst; Bradley B Keller; Lu Cai
Journal:  Nat Rev Cardiol       Date:  2020-02-20       Impact factor: 32.419

3.  Sodium-glucose cotransporter 2 inhibitors and risk of nephrolithiasis.

Authors:  Kasper B Kristensen; Daniel P Henriksen; Jesper Hallas; Anton Pottegård; Lars C Lund
Journal:  Diabetologia       Date:  2021-03-13       Impact factor: 10.122

4.  Optimizing Management of Type 2 Diabetes and Its Complications in Patients With Heart Failure.

Authors:  Christie A Schumacher; Elizabeth K Van Dril; Kayce M Shealy; Jennifer D Goldman
Journal:  Clin Diabetes       Date:  2021-01

Review 5.  SGLT2 inhibitors: a focus on cardiac benefits and potential mechanisms.

Authors:  Maja Nikolic; Vladimir Zivkovic; Jovana Joksimovic Jovic; Jasmina Sretenovic; Goran Davidovic; Stefan Simovic; Danijela Djokovic; Nemanja Muric; Sergey Bolevich; Vladimir Jakovljevic
Journal:  Heart Fail Rev       Date:  2021-02-03       Impact factor: 4.214

6.  Cardiovascular outcomes associated with prescription of sodium-glucose co-transporter-2 inhibitors versus dipeptidyl peptidase-4 inhibitors in patients with diabetes and chronic kidney disease.

Authors:  Jinnie J Rhee; Jialin Han; Maria E Montez-Rath; Sun H Kim; Mark R Cullen; Randall S Stafford; Wolfgang C Winkelmayer; Glenn M Chertow
Journal:  Diabetes Obes Metab       Date:  2022-02-16       Impact factor: 6.577

7.  Validation of obesity-related diagnosis codes in claims data.

Authors:  Karine Suissa; Sebastian Schneeweiss; Kueiyu Joshua Lin; Gregory Brill; Seoyoung C Kim; Elisabetta Patorno
Journal:  Diabetes Obes Metab       Date:  2021-08-18       Impact factor: 6.577

8.  Comprehensive evaluation of cardiovascular efficacy and safety outcomes of SGLT2 inhibitors in high risk patients of cardiovascular disease: systematic review and meta-analysis.

Authors:  Mukul Bhattarai; Mohsin Salih; Manjari Regmi; Mohammad Al-Akchar; Cameron Koester; Abdisamad Ibrahim; Priyanka Parajuli; Odalys Lara Garcia; Bishal Bhandari; Anis Rehman; Momin Siddique
Journal:  Cardiovasc Endocrinol Metab       Date:  2020-08-18

9.  Effects of sodium-glucose cotransporter 2 inhibitors on cardiovascular outcomes in elderly patients with comorbid coronary heart disease and diabetes mellitus.

Authors:  Hu Xu; Wen-Zhe Cao; Yong-Yi Bai; Rui-Hua Cao; Lei Tian; Feng Cao; Li Fan
Journal:  J Geriatr Cardiol       Date:  2021-06-28       Impact factor: 3.327

10.  SGLT2 Inhibition for CKD and Cardiovascular Disease in Type 2 Diabetes: Report of a Scientific Workshop Sponsored by the National Kidney Foundation.

Authors:  Katherine R Tuttle; Frank C Brosius; Matthew A Cavender; Paola Fioretto; Kevin J Fowler; Hiddo J L Heerspink; Tom Manley; Darren K McGuire; Mark E Molitch; Amy K Mottl; Leigh Perreault; Sylvia E Rosas; Peter Rossing; Laura Sola; Volker Vallon; Christoph Wanner; Vlado Perkovic
Journal:  Diabetes       Date:  2020-10-26       Impact factor: 9.461

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.