Empagliflozin in Heart Failure With Predicted Preserved Versus Reduced Ejection Fraction: Data From the EMPA-REG OUTCOME Trial.

EMPA-REG OUTCOME Heart failure with preserved ejection fraction empagliflozin heart failure with mid-range ejection fraction heart failure with mildly reduced ejection fraction heart failure with reduced ejection fraction type 2 diabetes mellitus

Journal

Journal of cardiac failure
ISSN: 1532-8414
Titre abrégé: J Card Fail
Pays: United States
ID NLM: 9442138

Informations de publication

Date de publication:
08 2021
Historique:
received: 20 02 2021
revised: 14 05 2021
accepted: 18 05 2021
entrez: 8 8 2021
pubmed: 9 8 2021
medline: 16 11 2021
Statut: ppublish

Résumé

In the EMPA-REG OUTCOME trial, ejection fraction (EF) data were not collected. In the subpopulation with heart failure (HF), we applied a new predictive model for EF to determine the effects of empagliflozin in HF with predicted reduced (HFrEF) vs preserved (HFpEF) EF vs no HF. We applied a validated EF predictive model based on patient baseline characteristics and treatments to categorize patients with HF as being likely to have HF with mid-range EF (HFmrEF)/HFrEF (EF <50%) or HFpEF (EF ≥50%). Cox regression was used to assess the effect of empagliflozin vs placebo on cardiovascular death/HF hospitalization (HHF), cardiovascular and all-cause mortality, and HHF in patients with predicted HFpEF, HFmrEF/HFrEF and no HF. Of 7001 EMPA-REG OUTCOME patients with data available for this analysis, 6314 (90%) had no history of HF. Of the 687 with history of HF, 479 (69.7%) were predicted to have HFmrEF/HFrEF and 208 (30.3%) to have HFpEF. Empagliflozin's treatment effect was consistent in predicted HFpEF, HFmrEF/HFrEF and no-HF for each outcome (HR [95% CI] for the primary outcome 0.60 [0.31-1.17], 0.79 [0.51-1.23], and 0.63 [0.50-0.78], respectively; P interaction = 0.62). In EMPA-REG OUTCOME, one-third of the patients with HF had predicted HFpEF. The benefits of empagliflozin on HF and mortality outcomes were consistent in nonHF, predicted HFpEF and HFmrEF/HFrEF.

Sections du résumé

BACKGROUND
In the EMPA-REG OUTCOME trial, ejection fraction (EF) data were not collected. In the subpopulation with heart failure (HF), we applied a new predictive model for EF to determine the effects of empagliflozin in HF with predicted reduced (HFrEF) vs preserved (HFpEF) EF vs no HF.
METHODS AND RESULTS
We applied a validated EF predictive model based on patient baseline characteristics and treatments to categorize patients with HF as being likely to have HF with mid-range EF (HFmrEF)/HFrEF (EF <50%) or HFpEF (EF ≥50%). Cox regression was used to assess the effect of empagliflozin vs placebo on cardiovascular death/HF hospitalization (HHF), cardiovascular and all-cause mortality, and HHF in patients with predicted HFpEF, HFmrEF/HFrEF and no HF. Of 7001 EMPA-REG OUTCOME patients with data available for this analysis, 6314 (90%) had no history of HF. Of the 687 with history of HF, 479 (69.7%) were predicted to have HFmrEF/HFrEF and 208 (30.3%) to have HFpEF. Empagliflozin's treatment effect was consistent in predicted HFpEF, HFmrEF/HFrEF and no-HF for each outcome (HR [95% CI] for the primary outcome 0.60 [0.31-1.17], 0.79 [0.51-1.23], and 0.63 [0.50-0.78], respectively; P interaction = 0.62).
CONCLUSIONS
In EMPA-REG OUTCOME, one-third of the patients with HF had predicted HFpEF. The benefits of empagliflozin on HF and mortality outcomes were consistent in nonHF, predicted HFpEF and HFmrEF/HFrEF.

Identifiants

pubmed: 34364665
pii: S1071-9164(21)00202-5
doi: 10.1016/j.cardfail.2021.05.012
pii:
doi:

Substances chimiques

Benzhydryl Compounds 0
Glucosides 0
empagliflozin HDC1R2M35U

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

888-895

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Gianluigi Savarese (G)

Division of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden. Electronic address: gianluigi.savarese@ki.se.

Alicia Uijl (A)

Division of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden; Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Institute of Cardiovascular Science, Faculty of Population Health Sciences, Health Data Research UK and Institute of Health Informatics, University College London, London, United Kingdom.

Lars H Lund (LH)

Division of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden.

Stefan D Anker (SD)

Department of Cardiology (CVK); and Berlin Institute of Health Center for Regenerative Therapies (BCRT); German Centre for Cardiovascular Research (DZHK) partner site Berlin; Charité Universitätsmedizin Berlin, Germany.

Folkert Asselbergs (F)

Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Institute of Cardiovascular Science, Faculty of Population Health Sciences, Health Data Research UK and Institute of Health Informatics, University College London, London, United Kingdom.

David Fitchett (D)

St Michael's Hospital, Division of Cardiology, University of Toronto, ON, Canada.

Silvio E Inzucchi (SE)

Yale University School of Medicine, New Haven, CT, USA.

Stefan Koudstaal (S)

Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Institute of Cardiovascular Science, Faculty of Population Health Sciences, Health Data Research UK and Institute of Health Informatics, University College London, London, United Kingdom.

Anne Pernille Ofstad (AP)

Boehringer Ingelheim Norway Ks, Asker, Norway.

Benedikt Schrage (B)

Division of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden.

Ola Vedin (O)

Boehringer Ingelheim AB, Stockholm, Sweden.

Christoph Wanner (C)

Würzburg University Clinic, Würzburg, Germany.

Faiez Zannad (F)

Institut Lorrain du Coeur et des Vaisseaux, Nancy, France.

Isabella Zwiener (I)

Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany.

Javed Butler (J)

Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.

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Classifications MeSH