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Updated: Aug 8, 2025

Author Spotlight: Assessing Ischemic Stroke Damage Through Middle Cerebral Artery Occlusion Model
Published on: August 11, 2023
Exploring Stroke Risk Factors and Outcomes in Sexual and Gender Minority People
Michael Anthony Diaz1, Nicole Rosendale1
1Department of Neurology, University of California, San Francisco, San Francisco, CA.
Background And Objectives:
Cerebrovascular disease in sexual and gender minority (SGM) people remains poorly understood. Our primary objective was to describe the epidemiology and outcomes in a sample of SGM people with stroke. As a secondary objective, we compared this group with non-SGM people with stroke to assess for significant differences in risk factors or outcomes.
Methods:
This was a retrospective chart review study of SGM people admitted to an urban stroke center with primary diagnosis of stroke (ischemic or hemorrhagic). We evaluated stroke epidemiology and outcomes, summarizing with descriptive statistics. We then matched 1 SGM person to 3 non-SGM people by year of birth and year of diagnosis to compare demographics, risk factors, inpatient stroke metrics, and outcomes.
Results:
A total of 26 SGM people were included in the analysis: 20 (77%) had ischemic strokes, 5 (19%) intracerebral hemorrhages, and 1 (4%) subarachnoid hemorrhage. Compared with non-SGM people (n = 78), stroke subtypes showed a similar distribution (64 (82%) ischemic strokes, 12 (15%) intracerebral hemorrhages, 1 (1%) subarachnoid hemorrhage, and 1 nontraumatic subdural hematoma, p > 0.05) but suspected ischemic stroke mechanisms had a different distribution (χ2 = 17.56, p = 0.01). Traditional stroke risk factors were similar between the 2 groups. The SGM group seemed to have higher rates of nontraditional stroke factors, including HIV (31% vs 0%, p < 0.01), syphilis (19% vs 0%, p < 0.01), and hepatitis C (15% vs 5%, p < 0.01) but were more likely to be tested for these risk factors (χ2 = 15.80, p < 0.01; χ2 = 11.65, p < 0.01; χ2 = 7.83, p < 0.01, respectively). SGM people were more likely to have recurrent strokes (χ2 = 4.39, p < 0.04) despite similar follow-up rates.
Discussion:
SGM people may have different risk factors, different mechanisms of stroke, and higher risk of recurrent stroke compared with non-SGM people. Standardized collection of sexual orientation and gender identity would enable larger studies to further understand disparities, leading to secondary prevention strategies.
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