Association of sodium glucose co-transporter-2 inhibitors with risk of diabetic ketoacidosis among hospitalized patients: A multicentre cohort study.

Diabetic ketoacidosis SGLT-2 inhibitors

Journal

Journal of diabetes and its complications
ISSN: 1873-460X
Titre abrégé: J Diabetes Complications
Pays: United States
ID NLM: 9204583

Informations de publication

Date de publication:
29 Jul 2024
Historique:
received: 03 05 2024
revised: 09 07 2024
accepted: 22 07 2024
medline: 4 8 2024
pubmed: 4 8 2024
entrez: 3 8 2024
Statut: aheadofprint

Résumé

Sodium glucose co-transporter-2 inhibitors (SGLT-2i) are increasingly being used among hospitalized patients. Our objective was to assess the risk of diabetic ketoacidosis (DKA) among hospitalized patients receiving an SGLT-2i. We conducted a multicentre cohort study of patients hospitalized at 19 hospitals. We included patients over 18 years of age who received an SGLT-2i or a dipeptidyl peptidase-4 inhibitor (DPP-4i) in hospital. The primary outcome was the risk of DKA during their hospitalization. 61,517 patients received a DPP-4i and 11,061 received an SGLT-2i. The risk of inpatient DKA was 0.07 % (N = 41 events) among adults who received a DPP-4i and 0.18 % (N = 20 events) among adults who received an SGLT-2i; adjusted odds ratio of 3.30 (95 % CI: 1.85-5.72). In hospitalized patients, the absolute risk of DKA was 0.2 %, which corresponded to a three-fold higher relative risk.

Identifiants

pubmed: 39096768
pii: S1056-8727(24)00153-3
doi: 10.1016/j.jdiacomp.2024.108827
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108827

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest MF was a consultant for ProofDx, a start-up company creating point of care diagnostic tests for COVID-19 using CRISPR. MF is an advisor for SIGNAL1, a start-up company deploying machine learned models to improve inpatient care. MF has been paid for medicolegal cases unrelated to the content of this study. FR is a provincial clinical lead for quality improvement at Ontario Health (as a part-time salaried employee). This research was undertaken, in part, with funding from the Canada Research Chairs Program. AV is a part-time employee of Ontario Health and is supported by the Temerty Professorship of AI Research and Education in Medicine at the University of Toronto.

Auteurs

Shohinee Sarma (S)

Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, United States of America.

Benazir Hodzic-Santor (B)

Division of General Internal Medicine, Sinai Health System, Toronto, Ontario, Canada.

Afsaneh Raissi (A)

Division of General Internal Medicine, Sinai Health System, Toronto, Ontario, Canada.

Michael Colacci (M)

Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada.

Amol A Verma (AA)

Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Division of General Internal Medicine, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.

Fahad Razak (F)

Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Division of General Internal Medicine, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.

Mats C Højbjerg Lassen (MC)

Department of Cardiology, Gentofte University Hospital, University of Copenhagen, Copenhagen, Denmark.

Michael Fralick (M)

Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Division of General Internal Medicine, Sinai Health System, Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada. Electronic address: mike.fralick@utoronto.ca.

Classifications MeSH