Objectives/Goals: Post-stroke fatigue (PSF), marked by early exhaustion and reduced activity tolerance, affects over half of stroke survivors. This novel study used All of Us Research Program data to explore factors linked to PSF, addressing gaps left by prior studies with methodological limitations. Methods/Study Population: We conducted a cross-sectional analysis of ischemic stroke survivors from the All of Us Research Program Controlled Tier dataset. Participants were identified using ICD-10 diagnosis I63 for cerebral infarction, with strokes occurring prior to survey completion. Self-reported fatigue was assessed using a 5-point Likert scale (none to very severe). Demographics, pre-stroke comorbidities, and health status factors were extracted from electronic health records and surveys. Proportional odds regression models identified factors associated with higher fatigue levels. Results/Anticipated Results: 4,009 ischemic stroke survivors met inclusion criteria (mean age 64±13 years, 53% female, median 2 years post-stroke). Fatigue was documented in 56% of participants through electronic health records, while 84% reported some level of fatigue on surveys. In multivariable analysis, factors significantly associated with greater fatigue included younger age (OR: 0.98, 95% CI: 0.98–0.99, p<0.001), female sex (OR: 1.38, 95% CI: 1.21–1.57, p<0.001), current smoking (OR: 1.19, 95% CI: 1.05–1.36, p=0.008), diabetes mellitus (OR: 1.34, 95% CI: 1.1–-1.54, p<0.001), chronic obstructive pulmonary disease (OR: 1.37, 95% CI: 1.16–1.62, p<0.001), and mood disorders (OR: 1.96, 95% CI: 1.72–2.23, p<0.001). Discussion/Significance of Impact: This is among the first studies to examine PSF using large, representative datasets. With 84% reporting symptoms, findings reveal under recognition in clinical settings and identify modifiable risk factors to guide targeted, evidence-based interventions.
Pena et al. (2026) studied this question.