Periodic Limb Movements during Sleep in Acute Stroke: Prevalence, Severity and Impact on Post-Stroke Recovery

• Published in: Journal of clinical medicine Vol. 12; no. 18; p. 5881
• Main Authors: Plomaritis, Panagiotis, Theodorou, Aikaterini, Michalaki, Vasiliki, Stefanou, Maria-Ioanna, Palaiodimou, Lina, Papagiannopoulou, Georgia, Kotsali-Peteinelli, Vasiliki, Bregianni, Marianna, Andreadou, Elissavet, Paraskevas, Georgios P, Giannopoulos, Sotirios, Tsivgoulis, Georgios, Bonakis, Anastasios
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-09-2023; MDPI
• Subjects: Care and treatment; Clinical medicine; Complications and side effects; Electrocardiography; Electromyography; Hospitals; Ischemia; Medical research; Medicine, Experimental; Prevention; Prognosis; Risk factors; Sleep; Sleep disorders; Stroke; Stroke (Disease); United States
• ISSN: 2077-0383; 2077-0383
• DOI: 10.3390/jcm12185881

Background: Periodic Limb Movements during Sleep (PLMS) have been described to be frequently present in stroke patients. We aimed to evaluate the prevalence and severity of PLMS in acute stroke patients and clarify the association between PLMS and coexisting Sleep Disordered Breathing (SDB). Additionally, we focused on identifying variables that could independently predict the presence of PLMS in patients with acute stroke. The potential impact of PLMS on stroke outcome at three months was investigated as well. Methods: In this study, we performed overnight polysomnography on consecutive stroke patients within 72 h from symptom onset. Data regarding clinical and imaging characteristics were prospectively collected. National Institute of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS) and Epworth-Sleepiness Scale (ESS) were used to evaluate stroke severity on admission, stroke outcome at three months and history of daytime sleepiness, respectively. We documented PLMS and SDB using standard polysomnography criteria. Results: We prospectively assessed 126 patients with acute stroke [109 with ischemic and 17 with hemorrhagic stroke, mean age 60 ± 11 years, 68% men, median NIHSS score on admission: 3 (IQR: 2–7)]. The overall rate of PLMS in our cohort was 76%, and the rate of SDB among patients with PLMS was 83%. PLMS detection rates differed significantly (p-value: <0.001) according to SDB, with PLMS prevalence increasing with greater SDB severity. SDB could independently (OR:4.869, 95% CI: 1.884–12.784, p-value: 0.001) predict the presence of PLMS in the acute stroke phase in multivariable analyses adjusting for potential confounders. Moreover, baseline stroke severity (NIHSS-score increase in per-1 point: OR: 0.819, 95% CI: 0.737–0.895, p-value < 0.001) and PLMS (OR:0.099, 95% CI: 0.009–0.482, p-value = 0.015) were significantly associated with the likelihood of excellent functional outcome (mRS-scores: 0–1) at 3 months. Conclusion: The common presence of mostly severe PLMS in patients with acute stroke and their negative effect on stroke outcomes point out the necessity for early PLMS detection and treatment.