Relationship of serum neuron-specific enolase and neuropeptide Y with sleep disorders in elderly stroke patients
10.3969/j.issn.1009-0126.2025.10.019
- VernacularTitle:老年脑卒中患者血清神经元特异性烯醇化酶和神经肽Y水平与睡眠障碍的关系
- Author:
Fang WU
1
;
Chong LIU
1
;
Guo LI
1
Author Information
1. 473000 南阳市第一人民医院神经内二科
- Publication Type:Journal Article
- Keywords:
stroke;
sleep disorders;
neuropeptide Y;
neuron-specific enolase
- From:
Chinese Journal of Geriatric Heart Brain and Vessel Diseases
2025;27(10):1372-1375
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the relationship of changes in serum neuron-specific enolase(NSE),neuropeptide Y(NPY)and hypocretin(Hcrt)levels with sleep disorders in the elderly stroke patients.Methods A total of 105 elderly stroke patients admitted in our department from February 2021 to February 2024 were retrospectively enrolled in this study.According to the re-sults of Pittsburgh sleep quality index(PSQI)evaluation,they were divided into sleep disorder group(64 cases)and non-sleep disorder group(41 cases).The serum NSE,NPY and Hcrt levels at admission were measured,their sleep status was evaluated with PSQI questionnaire,and the levels and clinical data were compared between groups.Multivariate logistic regression analysis was applied to analyze the influencing factors of sleep disorders in elderly stroke patients,and ROC curve analysis was performed.Results The NSE level was significantly higher,and the le-vels of NPY and Hcrt were obviously lower in the sleep disorder group than the non-sleep disor-der group(P＜0.01).Multivariate logistic regression analysis suggested that NSE,NPY,Hcrt,age,NIHSS score and history of stroke were independent influencing factor for sleep disorders in elderly stroke patients(P＜0.05,P＜0.01).ROC curve analysis indicated that the AUC value of NSE,NPY and Hcrt in predicting the occurrence of sleep disorders was 0.797,0.754 and 0.915,re-spectively.Conclusion Serum NSE,NPY and Hcrt are closely associated with sleep disorders in elderly stroke patients,and are of important value in predicting the occurrence of sleep disorders.
