Sodium-Glucose Cotransporter 2 Inhibitors, Glucagon-Like Peptide-1 Receptor Agonists, and Dipeptidyl Peptidase-4 Inhibitors, and Risk of Hospitalization.


Journal

The American journal of cardiology
ISSN: 1879-1913
Titre abrégé: Am J Cardiol
Pays: United States
ID NLM: 0207277

Informations de publication

Date de publication:
15 02 2022
Historique:
received: 17 09 2021
revised: 30 10 2021
accepted: 02 11 2021
pubmed: 24 12 2021
medline: 1 2 2022
entrez: 23 12 2021
Statut: ppublish

Résumé

Clinical trials have demonstrated cardiovascular benefits of sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1RA). However, their impact on all-cause and cause-specific hospitalization in real-world practice remains unclear. We identified patients with diabetes who initiated SGLT2i (n = 2,492), GLP-1RA (n = 1,982), or dipeptidyl peptidase-4 inhibitors (DPP4i, n = 2,492) between 2015 and 2018 in Geisinger Health System. We examined all-cause hospitalization (net benefit indicator) and cardiovascular disease (CVD) hospitalization (CV benefit indicator), as well as non-CVD hospitalization (harm indicator), using Cox proportional hazards regression. During a median follow-up of 16 months, SGLT2i and GLP-1RA were associated with lower risk of all-cause hospitalization (hazard ratio [HR] 0.85, 95% CI 0.75 to 0.95 for SGLT2i; HR 0.89, 95% CI 0.78 to 0.98 for GLP-1RA), as well as CVD hospitalization (HR 0.61, 95% CI 0.47 to 0.79) for SGLT2i; HR 0.77, 95% CI 0.60 to 0.99 for GLP-1RA) compared with DPP4i. The risks of all-cause and CVD hospitalization were similar between SGLT2i and GLP-1RA. SGLT2i was associated with substantially lower risk of myocardial infarction and heart failure hospitalization compared with DPP4i and lower risk of heart failure hospitalization compared with GLP-1RA. The risk of non-CVD hospitalization did not differ among the treatment groups. These results from real-world comparison further encourage SGLT2i and GLP-1RA use in routine diabetes care, particularly among patients at high risk of cardiovascular events.

Identifiants

pubmed: 34937658
pii: S0002-9149(21)01136-X
doi: 10.1016/j.amjcard.2021.11.013
pmc: PMC8766913
mid: NIHMS1759605
pii:
doi:

Substances chimiques

Dipeptidyl-Peptidase IV Inhibitors 0
Glucagon-Like Peptide-1 Receptor 0
Hypoglycemic Agents 0
Sodium-Glucose Transporter 2 Inhibitors 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

124-130

Subventions

Organisme : NIDDK NIH HHS
ID : K01 DK121825
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosures The authors have no conflicts of interest to declare.

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Auteurs

Beini Lyu (B)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Morgan E Grams (ME)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland; Center for Drug Safety and Effectiveness, Johns Hopkins University, Baltimore, Maryland; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.

Alex Chang (A)

Kidney Health Research Institute, Geisinger Health System, Danville, Pennsylvania.

Lesley A Inker (LA)

Division of Nephrology, Tufts Medical Center, Boston, Massachusetts.

Josef Coresh (J)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Center for Drug Safety and Effectiveness, Johns Hopkins University, Baltimore, Maryland; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.

Jung-Im Shin (JI)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Center for Drug Safety and Effectiveness, Johns Hopkins University, Baltimore, Maryland; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland. Electronic address: jshin19@jhmi.edu.

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Classifications MeSH