Objective To investigate the influence of sleep disorders after stroke on the risk of recurrence of cerebrovascular events based on propensity score matching （PSM）. Methods A retrospective analysis was performed for the clinical data of 173 stroke patients who were admitted to our hospital from March 2021 to October 2023， and according to the presence or absence of sleep disorders， they were divided into sleep disorders group with 88 patients and non-sleep disorders group with 85 patients.The two groups of patients were matched by PSM at a ratio of 1∶1 based on the baseline data of sex， age， body mass index（BMI）， and smoking and drinking history， and the recurrence of cerebrovascular events was compared between the two groups before and after matching. The Cox regression model was used to investigate the influence of sleep disorders after stroke on the risk of recurrence of cerebrovascular events after matching. Results A total of 69 cases were successfully matched by PSM. After matching， there were no significant differences between the two groups in sex， age， BMI， drinking history，smoking history， past medical history， stroke type， diastolic blood pressure， systolic blood pressure，National Institutes of Health Stroke Scale score， triglyceride， total cholesterol， low-density lipoprotein cholesterol， high-density lipoprotein cholesterol， fasting blood glucose， glycosylated hemoglobin， C-reactive protein， homocysteine， anxiety， and depression（P>0.05）.Compared with the non-sleep disorders group， the sleep disorders group had a significantly higher incidence rate of transient ischemic attack and a significantly higher overall incidence rate of cerebrovascular events before and after matching （P<0.05）.After matching，the Cox regression model analysis showed that sleep disorders after stroke was an independent risk factor for recurrence of cerebrovascular events（P<0.05）. Conclusion After PSM of the baseline data of stroke patients，sleep disorder after stroke is an independent risk factor for recurrence of cerebrovascular events.
Stroke