Frailty, multimorbidity and polypharmacy: exploratory analyses of the effects of empagliflozin from the EMPA-KIDNEY trial.


Journal

Clinical journal of the American Society of Nephrology : CJASN
ISSN: 1555-905X
Titre abrégé: Clin J Am Soc Nephrol
Pays: United States
ID NLM: 101271570

Informations de publication

Date de publication:
01 Jul 2024
Historique:
received: 22 02 2024
accepted: 24 06 2024
medline: 1 7 2024
pubmed: 1 7 2024
entrez: 1 7 2024
Statut: aheadofprint

Résumé

Sodium-glucose co-transporter-2 (SGLT2) inhibitors are recommended treatment for adults with chronic kidney disease (CKD), but uncertainty exists regarding their use in patients with frailty and/or multimorbidity, among whom polypharmacy is common. We derived a multivariable logistic regression model to predict hospitalization (reflecting frailty) and assessed empagliflozin's risk-benefit profile in a post-hoc analysis of the double-blind, placebo-controlled EMPA-KIDNEY trial. The EMPA-KIDNEY trial randomized 6609 patients with CKD (estimated glomerular filtration rate [eGFR] ≥20<45 mL/min/1.73m2, or ≥45<90 mL/min/1.73m2 with urinary albumin-to-creatinine ratio ≥200 mg/g) to receive either empagliflozin 10 mg daily or matching placebo and followed for two years (median). Additional characteristics analysed in subgroups were multimorbidity, polypharmacy and health-related quality of life (HRQoL) at baseline. Cox regression analyses were performed with subgroups defined by approximate thirds of each variable. The strongest predictors of hospitalization were N-terminal prohormone of brain natriuretic peptide, poor mobility and diabetes; then eGFR and other comorbidities. Empagliflozin was generally well-tolerated independent of predicted risk of hospitalization. In relative terms, allocation to empagliflozin reduced the risk of the primary outcome of kidney disease progression or cardiovascular death by 28% (hazard ratio [HR] 0.72, 95% confidence interval [CI] 0.64-0.82); and all-cause hospitalization by 14% (HR 0.86, 95% CI 0.78-0.95); with broadly consistent effects across subgroups of predicted risk of hospitalization, multimorbidity, polypharmacy or HRQoL. In absolute terms, the estimated benefits of empagliflozin were greater in those at highest predicted risk of hospitalization (reflecting frailty) and outweighed potential serious harms. These findings support the use of SGLT2 inhibitors in CKD, irrespective of frailty, multimorbidity or polypharmacy.

Sections du résumé

BACKGROUND BACKGROUND
Sodium-glucose co-transporter-2 (SGLT2) inhibitors are recommended treatment for adults with chronic kidney disease (CKD), but uncertainty exists regarding their use in patients with frailty and/or multimorbidity, among whom polypharmacy is common. We derived a multivariable logistic regression model to predict hospitalization (reflecting frailty) and assessed empagliflozin's risk-benefit profile in a post-hoc analysis of the double-blind, placebo-controlled EMPA-KIDNEY trial.
METHODS METHODS
The EMPA-KIDNEY trial randomized 6609 patients with CKD (estimated glomerular filtration rate [eGFR] ≥20<45 mL/min/1.73m2, or ≥45<90 mL/min/1.73m2 with urinary albumin-to-creatinine ratio ≥200 mg/g) to receive either empagliflozin 10 mg daily or matching placebo and followed for two years (median). Additional characteristics analysed in subgroups were multimorbidity, polypharmacy and health-related quality of life (HRQoL) at baseline. Cox regression analyses were performed with subgroups defined by approximate thirds of each variable.
RESULTS RESULTS
The strongest predictors of hospitalization were N-terminal prohormone of brain natriuretic peptide, poor mobility and diabetes; then eGFR and other comorbidities. Empagliflozin was generally well-tolerated independent of predicted risk of hospitalization. In relative terms, allocation to empagliflozin reduced the risk of the primary outcome of kidney disease progression or cardiovascular death by 28% (hazard ratio [HR] 0.72, 95% confidence interval [CI] 0.64-0.82); and all-cause hospitalization by 14% (HR 0.86, 95% CI 0.78-0.95); with broadly consistent effects across subgroups of predicted risk of hospitalization, multimorbidity, polypharmacy or HRQoL. In absolute terms, the estimated benefits of empagliflozin were greater in those at highest predicted risk of hospitalization (reflecting frailty) and outweighed potential serious harms.
CONCLUSIONS CONCLUSIONS
These findings support the use of SGLT2 inhibitors in CKD, irrespective of frailty, multimorbidity or polypharmacy.

Identifiants

pubmed: 38949880
doi: 10.2215/CJN.0000000000000498
pii: 01277230-990000000-00418
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Boehringer Ingelheim
ID : ID0ETREK4595
Organisme : Eli Lilly and Company
ID : ID0EPZEK4596
Organisme : Medical Research Council
ID : ID0ELBFK4597
Pays : United Kingdom

Informations de copyright

Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Nephrology.

Auteurs

Kaitlin J Mayne (KJ)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
School of Cardiovascular and Metabolic Health, College of Medical and Veterinary Life Sciences, University of Glasgow, Glasgow, UK.

Rebecca J Sardell (RJ)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Natalie Staplin (N)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Parminder K Judge (PK)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Oxford Kidney Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Doreen Zhu (D)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Oxford Kidney Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Emily Sammons (E)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

David Zi Cherney (DZ)

University of Toronto, Toronto, Canada.

Alfred K Cheung (AK)

University of Utah, Salt Lake City, UT, USA.

Aldo P Maggioni (AP)

Associazione Nazionale Medici Cardiologi Ospedalieri Research Centre, Florence, Italy.

Masaomi Nangaku (M)

University of Tokyo School of Medicine, Tokyo, Japan.

Xavier Rossello (X)

Hospital Universitari Son Espases, Health Research Institute of the Balearic Islands, University of the Balearic Islands, Palma de Mallorca, Spain.

Katherine R Tuttle (KR)

University of Washington, Seattle, WA, USA; and Providence Inland Northwest Health, Spokane, WA, USA.

Katsuhito Ihara (K)

Medicine Division, Nippon Boehringer Ingelheim Co., Ltd., Tokyo, Japan.

Tomoko Iwata (T)

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

Christoph Wanner (C)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Jonathan Emberson (J)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

David Preiss (D)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Martin J Landray (MJ)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Colin Baigent FMedSci (C)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Richard Haynes (R)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Oxford Kidney Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

William G Herrington (WG)

Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Oxford Kidney Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Classifications MeSH