慢性病病人日间过度嗜睡影响因素的Meta分析

Influencing factors of excessive daytime sleepiness in patients with chronic diseases:a Meta-analysis

目的:系统评价慢性病病人日间过度嗜睡的影响因素。方法:计算机检索PubMed、EMbase、Web of Science、the Cochrane Library、中国知网、维普数据库、万方数据库和中国生物医学文献数据库中关于慢性病病人日间过度嗜睡影响因素的病例对照研究,检索时限为建库至2023年12月1日。由2名研究者独立进行文献筛选、资料提取、文献质量评价,采用RevMan 5.3软件进行Meta分析。结果:最终纳入15篇文献,涉及2453例病人,Meta分析结果显示,慢性病病人日间过度嗜睡的影响因素包括体质指数(BMI)[OR=1.19,95%CI(1.03,1.38),P=0.02]、睡眠呼吸暂停低通气指数(AHI)[OR=1.90,95%CI(1.06,3.41),P=0.03]、男性[OR=3.92,95%CI(2.03,7.56),P<0.0001]、匹兹堡睡眠质量指数量表(PSQI)[OR=1.09,95%CI(1.04,1.15),P=0.0003]、汉密尔顿抑郁量表(HAMD)[OR=1.14,95%CI(1.06,1.23),P=0.0004]、氧饱和度低于90%的百分比(CT90%)[OR=2.67,95%CI(1.58,4.53),P=0.0003]和Hoehn-Yahr分期评分(H-Y分期)[OR=2.08,95%CI(1.26,3.44),P=0.004]。结论:当前证据显示,BMI、AHI、男性、PSQI、HAMD、CT90%、H-Y分期是慢性病病人发生日间过度嗜睡的影响因素。

Objective:To systematically evaluate the influencing factors of excessive daytime sleepiness in patients with chronic diseases.Methods:The case-control studies on influencing factors of excessive daytime sleepiness in patients with chronic diseases were retrieved from PubMed,EMbase,Web of Science,the Cochrane Library,CNKI,VIP,WanFang,and CBM.The search time limit was from database establishment to December 1,2023.Two researchers independently performed literature screening,data extraction,and literature quality evaluation.The RevMan 5.3 software was used for Meta-analysis.Results:A total of 15 articles were included in this study,involving 2453 patients.Meta-analysis results showed that the influencing factors of excessive daytime sleepiness in patients with chronic diseases included higher body mass index(BMI)(OR=1.19,95%CI 1.03-1.38,P=0.02),apnea-hypopnea index(AHI)(OR=1.90,95%CI 1.06-3.41,P=0.03),male(OR=3.92,95%CI 2.03-7.56,P<0.0001),Pittsburgh Sleep Quality Index(PSQI)(OR=1.09,95%CI 1.04-1.15,P=0.0003),Hamilton Depression Scale(HAMD)(OR=1.14,95%CI 1.06-1.23,P=0.0004),percentage of oxygen saturation below 90%(CT90%)(OR=2.67,95%CI 1.58-4.53,P=0.0003),and Hoehn-Yahr staging score(H-Y staging)(OR=2.08,95%CI 1.26-3.44,P=0.0004).Conclusions:Existing evidence show,that BMI,AHI,male,PSQI,HAMD,CT90%,and H-Y staging influence excessive daytime sleepiness in patients with chronic diseases.