posted on 2022-03-14, 22:56authored byYi-Sun Yang, Hsin-Hung Chen, Chien-Ning Huang, Chung Y. Hsu, Kai-Chieh Hu, Chia-Hung Kao
<b>Objectives</b>: We assessed the effect of GLP-1RAs on ischemic stroke
prevention in the Asian population with type 2 diabetes (T2D) without
established cardiovascular disease.
<p><b>Research design and Methods:</b> 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.</p>
<p><b>Results: </b>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], <i>p</i> = 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.</p>
<p><b>Conclusion: </b>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.</p>
Funding
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.