中国血液净化 ›› 2025, Vol. 24 ›› Issue (08): 635-641.doi: 10.3969/j.issn.1671-4091.2025.08.004

• 临床研究 • 上一篇    下一篇

维持性血液透析患者睡眠障碍的现状及其影响因素分析

孙钰欣    王俊霞   

  1. 471000 洛阳,1河南科技大学第一附属医院血液净化中心
  • 收稿日期:2025-03-24 修回日期:2025-06-03 出版日期:2025-08-12 发布日期:2025-08-12
  • 通讯作者: 王俊霞 E-mail:lyyzwjx@126.com
  • 基金资助:
    河南省医学科技攻关项目(LHGJ20220669)

Analysis of the current status and influencing factors of sleep disorders in maintenance hemodialysis patients

SUN Yu-xin, WANG Jun-xia   

  1. Hemodialysis Center, the First Affiliated Hospital of Henan University of Science and Technology, Luoyang ,471000, China
  • Received:2025-03-24 Revised:2025-06-03 Online:2025-08-12 Published:2025-08-12
  • Contact: 471000 洛阳,1河南科技大学第一附属医院血液净化中心 E-mail:lyyzwjx@126.com
  • Supported by:

摘要: 目的  本研究旨在调查维持性血液透析(maintenance hemodialysis,MHD)患者的睡眠状况并探讨其影响因素,为制定针对性干预措施、提高患者睡眠质量提供科学依据,并为真实世界研究提供数据支持。 方法 选取2023年6月─2024年3月在洛阳市多家血液净化中心接受治疗的346例MHD患者。根据匹兹堡睡眠质量指数(Pittsburgh sleep quality index,PSQI)量表总分将患者分成无睡眠障碍组和睡眠障碍组。通过标准化调查问卷收集患者的人口学与社会经济因素信息,并通过电子病历系统提取患者入组前3个月内实验室指标,包括全段甲状旁腺激素(intact parathyroid hormone,iPTH)、C-反应蛋白(C-reactive protein,CRP)等。比较2组患者各项指标的差异,通过Spearman相关分析评估指标与睡眠障碍发生的相关性,多元Logistic回归模型识别睡眠障碍的独立危险因素。 结果 346例MHD患者睡眠障碍的发生率为75.2%(260/346)。经单因素分析得出2组患者年龄、医疗保障类型、透析龄、合并糖尿病、合并心脑血管疾病、iPTH和CRP水平上差异具有统计学意义(均P<0.05)。进一步行Spearman相关分析显示,患者年龄(r=0.233,P<0.001)、透析龄(r=0.130,P=0.021)、合并糖尿病(r=0.153,P=0.006)、合并心脑血管疾病(r=0.235,P<0.001))及CRP(r=0.216,P<0.001))与睡眠障碍呈正相关(均P<0.05)。多元Logistic回归分析结果表明,MHD患者的年龄(OR=1.021,95% CI:1.001~1.041,P=0.036)、透析龄(OR=1.006,95% CI:1.001~1.012,P=0.028),合并糖尿病(OR=1.971,95% CI:1.127~3.447,P=0.017)、CRP水平(OR=1.027,95% CI:1.003~1.051,P=0.024)是患者发生睡眠障碍的独立危险因素(均P<0.05)。 结论 本研究发现MHD患者睡眠障碍发生率高达75.2%。高龄、长透析龄、合并糖尿病及高CRP水平被确认为其睡眠障碍的独立危险因素。因此,在临床工作中需特别关注高龄、长透析龄且伴有基础疾病的MHD患者群体。通过积极治疗基础疾病以及定期监测,可能有助于降低MHD患者睡眠障碍的发生率,从而有效改善患者的预后及生活质量。

关键词: 维持性血液透析, 慢性肾脏病, 睡眠障碍, 危险因素, C反应蛋白

Abstract: Objective  This study aimed to investigate the sleep status of maintenance hemodialysis (MHD) patients and explore its influencing factors, to provide a scientific basis for developing targeted interventions to improve sleep quality, and to offer data support for real-world research. Methods  A total of 346 MHD patients treated at multiple hemodialysis centers in Luoyang city between June 2023 and March 2024 were enrolled. Patients were divided into a no-sleep-disorder group and a sleep-disorder group based on their total Pittsburgh Sleep Quality Index (PSQI) score. Standardized questionnaires were used to collect demographic and socio-economic information. Laboratory indicators from the 3 months prior to enrollment, including intact Parathyroid Hormone (iPTH) and C-reactive protein (CRP), were extracted from the electronic medical record system. Differences in indicators between the two groups were compared. Spearman correlation analysis was used to assess the correlation between indicators and sleep disorder occurrence. Multivariate logistic regression models were employed to identify independent risk factors for sleep disorders.  Results  The prevalence of sleep disorders among MHD patients was 75.2% (260/346). Univariate analysis identified significant associations between the two groups in age, type of medical insurance,dialysis vintage, commodities (diabetes,cardiovascular/cerebrovascular diseases), and iPTH and CRP levels (all P<0.05). Further Spearman correlation analysis showed that patient age (r=0.233, P<0.001), dialysis vintage (r=0.130, P=0.021), presence of diabetes (r=0.153, P=0.006), presence of cardiovascular/cerebrovascular diseases (r=0.235, P<0.001), and CRP level (r=0.216, P<0.001) were significantly positively correlated with sleep disorders (all P<0.05). Multivariate logistic regression analysis indicated that MHD patient age (OR=1.021, 95% CI: 1.001~1.041, P=0.036), dialysis vintage (OR=1.006, 95% CI: 1.001~1.012, P=0.028), presence of diabetes (OR=1.971, 95% CI:1.127~3.447, P=0.017), and CRP level (OR=1.027, 95% CI: 1.003~1.051, P=0.024) were independent risk factors for sleep disorders (all P<0.05).   Conclusion  This study found a high prevalence of sleep disorders (75.2%) among MHD patients. Advanced age, longer dialysis vintage, presence of diabetes, and elevated CRP levels were confirmed as independent risk factors. Therefore, special attention is needed in clinical practice for MHD patients who are older, have a longer dialysis vintage, and have underlying comorbidities. Actively managing underlying conditions and conducting regular monitoring may help reduce the incidence of sleep disorders in MHD patients, thereby effectively improving their prognosis and quality of life.

Key words: Maintenance hemodialysis, Chronic kidney disease, Sleep disorders, Risk factors, C-reactive protein

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