中国卒中杂志 ›› 2025, Vol. 20 ›› Issue (9): 1113-1120.DOI: 10.3969/j.issn.1673-5765.2025.09.006

• 论著 • 上一篇    下一篇

红细胞压积与海拔梯度对中高海拔地区轻型缺血性卒中患者卒中后睡眠障碍的影响研究

柴昌1,胡全忠2   

  1. 1 汉中 723000 汉中市中心医院神经内科
    2 青海省人民医院神经内科
  • 收稿日期:2025-04-18 修回日期:2025-08-24 接受日期:2025-09-01 出版日期:2025-09-20 发布日期:2025-09-20
  • 通讯作者: 胡全忠 huquanzhong@163.com

Study on the Effects of Hematocrit and Altitude Gradient on Post-Stroke Sleep Disorders in Patients with Minor Ischemic Stroke in Moderate-to-High Altitude Areas

CHAI Chang1, HU Quanzhong2   

  1. 1 Department of Neurology, Hanzhong Central Hospital, Hanzhong 723000, China
    2 Department of Neurology, Qinghai Provincial People’s Hospital, Xining 810007, China
  • Received:2025-04-18 Revised:2025-08-24 Accepted:2025-09-01 Online:2025-09-20 Published:2025-09-20
  • Contact: HU Quanzhong, E-mail: huquanzhong@163.com

摘要: 目的 探讨中高海拔地区轻型缺血性卒中(minor ischemic stroke,MIS)患者卒中后睡眠障碍的影响因素,重点分析高原缺氧环境与红细胞压积(hematocrit,HCT)、卒中病灶部位及卒中后焦虑、抑郁的交互作用。
方法 采用回顾性队列研究设计,数据来源于中国国家卒中登记Ⅲ青海省人民医院分中心数据库(时间范围:2016年10月—2019年7月)。使用匹兹堡睡眠质量指数(Pittsburgh sleep quality index,PSQI)评估MIS患者卒中后6周的睡眠质量(PSQI总分≥7分定义为卒中后睡眠障碍)。结合神经影像学、血液流变学指标及心理评估量表评分等数据,采用多因素logistic回归分析筛选卒中后睡眠障碍的独立危险因素,通过ROC曲线评估HCT的预测效能。
结果 共纳入152例MIS患者,卒中后睡眠障碍的发生率为54.6%(83/152)。多因素logistic回归分析显示,常住地海拔≥3000 m(OR 4.550,95%CI 2.499~4.588,P=0.011)、后循环梗死(OR 2.089,95%CI 1.961~4.762,P=0.042)、HCT≥55%(OR 8.545,95%CI 4.708~15.500,P=0.001)及卒中后抑郁(OR 1.991,95%CI 1.082~3.660,P=0.048)为卒中后睡眠障碍的独立危险因素。ROC曲线分析表明,HCT预测卒中后睡眠障碍的AUC为0.731(95%CI 0.630~0.833,P=0.009),最佳截断值为55.5%,对应的敏感度为0.806,特异度为0.634。
结论 中高海拔地区MIS患者卒中后睡眠障碍的发生率较高,常住地海拔≥3000 m、后循环梗死、HCT≥55%及卒中后抑郁是其独立影响因素,整合上述指标有助于早期识别MIS患者卒中后睡眠障碍的高危人群,并为制订适用于高原地区的特异性睡眠管理策略提供依据。

文章导读: 本研究聚焦中高海拔地区轻型缺血性卒中患者,揭示了高原缺氧环境与卒中后睡眠障碍的交互机制,将红细胞压积作为卒中后睡眠障碍的核心预测指标,并验证了其预测效能。同时,本研究整合常住地海拔高度、梗死部位及卒中后抑郁等关键因素,建立了涵盖环境、生理与心理的多因素风险评价体系,有望为中高海拔地区轻型缺血性卒中患者卒中后睡眠障碍的早期识别与分层干预提供依据,具有较强的临床适用性和地域特色。

关键词: 中高海拔地区; 轻型缺血性卒中; 睡眠障碍; 卒中后抑郁; 红细胞压积

Abstract: Objective  To explore the influencing factors of post-stroke sleep disorders in patients with minor ischemic stroke (MIS) in moderate-to-high altitude areas, focusing on the interaction between the high-altitude hypoxic environment and hematocrit (HCT), stroke lesion location, as well as post-stroke anxiety and depression.
Methods  A retrospective cohort design was adopted, with data derived from the Qinghai Provincial People’s Hospital sub-center database of the China national stroke registry-Ⅲ from October 2016 to July 2019. The Pittsburgh sleep quality index (PSQI) was used to assess sleep quality of the MIS patients at 6 weeks after stroke, with a total PSQI score≥7 defined as post-stroke sleep disorder. By integrating data from neuroimaging, hemorheological indicators, and scores of psychological assessment scales, multivariate logistic regression analysis was used to identify independent risk factors for post-stroke sleep disorders. The predictive efficacy of HCT was evaluated using ROC curves.
Results  A total of 152 MIS patients were included, and the incidence of post-stroke sleep disorders was 54.6% (83/152). Multivariate logistic regression analysis showed that permanent residence at an altitude≥3000 meters (OR 4.550, 95%CI 2.499-4.588, P=0.011), posterior circulation infarction (OR 2.089, 95%CI 1.961-4.762, P=0.042), HCT≥55% (OR 8.545, 95%CI 4.708-15.500, P=0.001), and post-stroke depression (OR 1.991, 95%CI 1.082-3.660, P=0.048) were independent risk factors for post-stroke sleep disorders. ROC curve analysis revealed that the AUC of HCT for predicting post-stroke sleep disorders was 0.731 (95%CI 0.630-0.833, P=0.009), with the optimal cut-off value of 55.5%, corresponding to a sensitivity of 0.806 and a specificity of 0.634.
Conclusions  The incidence of post-stroke sleep disorders is relatively high in MIS patients in moderate-to-high altitude areas. Permanent residence at an altitude≥3000 meters, posterior circulation infarction, HCT≥55%, and post-stroke depression are important influencing factors. Integrating the above indicators is conducive to the early identification of high-risk populations and provides a basis for formulating plateau-specific sleep management strategies.

Key words: Moderate-to-high altitude area; Minor ischemic stroke; Sleep disorder; Post-stroke depression; Hematocrit

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