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GLP-1RAs for Ischemic Stroke Prevention in Patients With Type 2 Diabetes Without Established Atherosclerotic Cardiovascular Disease

posted on 14.03.2022, 22:56 by Yi-Sun Yang, Hsin-Hung Chen, Chien-Ning Huang, Chung Y. Hsu, Kai-Chieh Hu, Chia-Hung Kao
Objectives: We assessed the effect of GLP-1RAs on ischemic stroke prevention in the Asian population with type 2 diabetes (T2D) without established cardiovascular disease.

Research design and Methods: This retrospective cohort study examined data obtained from the Taiwan National Health Insurance Research Database for the period from 1998 to 2018. The follow-up ended upon the occurrence of hospitalization for ischemic stroke. The median follow-up period was 3 years. The effect of GLP-1RA exposure time on the development of hospitalization for ischemic stroke was assessed.

Results: The GLP-1RA and non-GLP-1RA user groups both included 6,534 patients. Approximately 53% of the patients were women, and the mean age was 49 ± 12 years. The overall risk of ischemic stroke hospitalization for GLP-1RA users was not significantly lower than that for GLP-1RA nonusers (adjusted HR 0.69 [95% CI 0.47- 1.00], p = 0.0506), but GLP-1RA users with more than a 251-day supply during the study period had a significantly lower risk of ischemic stroke hospitalization than GLP-1RA nonusers (adjusted HR 0.28 [95% CI 0.11-0.71]). Higher cumulative dose of GLP-1 RAs (> 1784 mg) was associated with significantly lower risk of ischemic stroke hospitalization. The subgroup analyses defined by various baseline features did not reveal significant differences in the observed effect of GLP-1RAs.

Conclusion: Longer use and higher dose of GLP-1 RAs was associated with a decreased risk of hospitalization for ischemic stroke among Asian patients with T2D who did not have established atherosclerotic cardiovascular diseases, but who did have dyslipidemia or hypertension.


This study is supported in part by Taiwan Ministry of Health and Welfare Clinical Trial Center (MOHW110-TDU-B-212-124004), China Medical University Hospital (DMR-110-089, DMR-111-090, DMR-111-091), and Chung Shan Medical University Hospital (CSH-2018-C-015). We are grateful to the Health Data Science Center, China Medical University Hospital for providing administrative, technical, and funding support.