Publication
Use of oral anti-diabetic drugs and risk of hospital and intensive care unit admissions for infections
Downloadable Content
- Persistent URL
- Last modified
- 06/25/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2022-06-10
- Publisher
- ELSEVIER SCIENCE INC
- Publication Version
- Copyright Statement
- © 2022 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 364
- Issue
- 1
- Start Page
- 53
- End Page
- 58
- Abstract
- Background: Sepsis is one of the leading causes of hospital mortality, and diabetes is a risk factor for the development of infections. Although strong evidence has shown an association between metformin and reduced risk of infections, the risk of developing infections with newer classes of oral anti-diabetic drugs (OADs) has been less certain. Our study aims to examine the association between outpatient OAD use and hospital admissions for infections. Methods: The study cohort included 1.39 million adults with diabetes utilizing the Veterans Health Affairs Corporate Data Warehouse. Multivariate logistic regression was used to estimate the effect of each drug class on hospital admission for infection while adjusting for covariates. Results: After adjusting for covariates, those who took metformin during the study period had 3.3% lower odds of hospital admission for infection compared to those who were never on metformin (OR 0.97, 95% CI 0.95-0.98). OADs that were associated with a statistically significant increased odds of being admitted included meglitinides (OR 1.22, 95% CI 1.07-1.38), SGLT2 inhibitors (OR 1.16, 95% CI 1.08-1.24), alpha-glucosidase inhibitors (OR 1.09, 95% CI 1.04-1.15), and DPP4 inhibitors (OR 1.04, 95% CI 1.01-1.06). Conclusions: Metformin was associated with lower odds of hospital admission for infection while meglitinides, SGLT2 inhibitors, alpha-glucosidase inhibitors, and DPP4 inhibitors were associated with higher odds of admission for infection.
- Keywords
- Research Categories
- Biology, Biostatistics
- Health Sciences, Medicine and Surgery
- Engineering, Biomedical
- Biology, Veterinary Science
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