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Updated: Apr 8, 2026

Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke
Published on: July 26, 2021
Restless legs syndrome in stroke patients
I Schlesinger1, I Erikh2, M Nassar2
1Department of Neurology, Rambam Health Care Campus, Haifa, Israel; Technion Faculty of Medicine, Haifa, Israel.
Background:
Restless legs syndrome (RLS) is associated with cerebrovascular risk factors, but its possible association with cerebrovascular disease has yielded conflicting results.
Objective:
This was a case-control, in-hospital study to evaluate the association between RLS and acute stroke or transient ischemic attack (TIA).
Methods:
We evaluated patients hospitalized with acute stroke/TIA and an age and gender 2:1 frequency-matched control group, for the presence of RLS.
Results:
Twenty-two of 149 patients (15%) and 10 of 298 controls (3%) suffered from RLS (p <0.0001). A multivariate logistic regression model employing cerebrovascular risk factors as predictors, that is, hypertension, hyperlipidemia, diabetes, and body mass index (BMI), determined that stroke/TIA was significantly associated with RLS with odds ratio for RLS among patients with stroke/TIA versus controls of 7.60 (95% confidence interval (CI): 2.07-27.87; p = 0.002). Another multivariate logistic regression model adjusting for possible RLS risk factors, that is, hypertension, hyperlipidemia, diabetes, BMI, anemia, and reduced renal function, determined that stroke/TIA was significantly associated with RLS with odds ratio of 6.85 (95% CI: 6.85-1.79; p = 0.005). Stepwise logistic regression with hypertension, hyperlipidemia, diabetes, BMI, anemia, and reduced renal function as potential predictors revealed that only stroke/TIA predicted RLS with similar odds ratio to the RLS-based multivariate model of 6.54 (95% CI: 2.63-16.27; p <0.0001).
Conclusions:
Examining stroke patients while in hospital allowed us to conclude that RLS and acute stroke/TIA are significantly associated. However, the cross-sectional design did not allow for the determination of a causative relationship between the two.
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