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
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
108827Informations 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.