Association of Statin Therapy Initiation With Diabetes Progression: A Retrospective Matched-Cohort Study
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Importance Statin therapy has been associated with increased insulin resistance; however, its clinical implications for diabetes control among patients with diabetes is unknown. Objective To assess diabetes progression after initiation of statin use in patients with diabetes. Design, setting, and participants This was a retrospective matched-cohort study using new-user and active-comparator designs to assess associations between statin initiation and diabetes progression in a national cohort of patients covered by the US Department of Veterans Affairs from fiscal years 2003-2015. Patients included were 30 years or older; had been diagnosed with diabetes during the study period; and were regular users of the Veterans Affairs health system, with records of demographic information, clinical encounters, vital signs, laboratory data, and medication usage. Interventions Treatment initiation with statins (statin users) or with H2-blockers or proton pump inhibitors (active comparators). Main outcomes and measures Diabetes progression composite outcome comprised the following: new insulin initiation, increase in the number of glucose-lowering medication classes, incidence of 5 or more measurements of blood glucose of 200 mg/dL or greater, or a new diagnosis of ketoacidosis or uncontrolled diabetes. Results From the 705 774 eligible patients, we matched 83 022 pairs of statin users and active comparators; the matched cohort had a mean (SD) age of 60.1 (11.6) years; 78 712 (94.9%) were…
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Statin prescriptions also appeared among important predictors, consistent with their indication for patients with diabetes and cardiovascular risk factors whose greater clinical complexity increases the likelihood of experiencing acute events requiring emergency care.
“Statin prescriptions also appeared among important predictors, consistent with their indication for patients with diabetes and cardiovascular risk factors whose greater clinical complexity [86,87] increases the likelihood of experiencing acute events requiring emergency care [88–90].”
From Machine learning-driven risk prediction for post-hospitalization diabetes case management: Integrating clinical and social determinants of health (2026) · cites this paper as [89]
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- Authors
- Mansi, I. A., Chansard, M., Lingvay, I., Zhang, S., Halm, E. A., & Alvarez, C. A.
- Affiliations
- VA North Texas Health Care System (US)
- The University of Texas Southwestern Medical Center (US)
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas
- Corresponding author
- Mansi, Ishak A.
- Venue
- JAMA Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2021-12-01
- Volume
- 181
- Issue
- 12
- Pages
- 1562
- ISSN
- 2168-6106 (ISSN-L)
- PMC
- PMC8491130
- OpenAlex
- W3203433276
- Cited by
- 144
- References
- 55
- Citations by year
- 2026: 12 · 2025: 31 · 2024: 28 · 2023: 38 · 2022: 32 · 2021: 3
- FWCI
- 23.73
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA Internal Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Keywords
- statins, diabetes progression, hyperglycemia, insulin initiation, ketoacidosis, insulin resistance, LDL cholesterol lowering, veterans, H2 receptor antagonists, proton pump inhibitors, glucose-lowering medications, glycemic control, veterans health system
- MeSH terms
- Blood Glucose, Cardiovascular Diseases, Diabetes Mellitus, Female, Follow-Up Studies, Humans, Male, Middle Aged, Retrospective Studies, United States, Veterans, Disease Progression, Hydroxymethylglutaryl-CoA Reductase Inhibitors
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