鼾症患者中阻塞性睡眠呼吸暂停低通气综合征的筛查及危险因素分析  

Screening and analyzing risk factors for obstructive sleep apnea hypopnea syndrome in patients with snoring

作　　者：孙楷[1] 聂洪玉[1] 徐东兰[1] 刘泳[1] 马升军[1] 唐亮[1] SUN Kai;NIE Hongyu;XU Donglan;LIU Yong;MAShengjun;TANG Liang(Department of Respiratory and Critical Care Medicine,Zigong Fourth People's Hospital,Zigong,Sichuan 643000,P.R.China)

机构地区：[1]自贡市第四人民医院呼吸与危重症医学科,四川自贡643000

出　　处：《中国呼吸与危重监护杂志》2019年第1期26-30,共5页Chinese Journal of Respiratory and Critical Care Medicine

基　　金：自贡市2013年重点科技计划(2013ZC22)

摘　　要：目的通过数据分析建立阻塞性睡眠呼吸暂停低通气综合征(OSAHS)的筛查模型,探讨OSAHS的危险因素。方法连续纳入在自贡市第四人民医院睡眠监测室行多导睡眠监测的558例患者作为研究对象,其中单纯鼾症组163例,OSAHS组395例。先进行单因素和多因素分析,初步找出OSAHS的危险因素,然后进行二元Logistic回归分析并建立模型,最后通过联合预测因子的受试者工作特征(ROC)曲线,对筛查模型进行评价。结果 OSAHS筛查模型建立为X=–10.286+0.280×体重指数+1.057×打鼾程度+1.124×性别+0.085×Epworth评分+0.036×年龄。其中,对于性别,男性取值1,女性取值0。当X>1.123时,即可预测OSAHS,患病概率P=e^x/(1+e^x)。筛查模型的敏感性为77.70%,特异性为85.89%,ROC曲线下面积为0.890,95%可信区间为(0.862,0.918)。结论在鼾症患者中,通过患者的打鼾程度、Epworth评分和身体测量数据能有效预测和筛检OSAHS患者,OSAHS筛查模型可运用于临床。Objective To establish a screening model for obstructive sleep apnea hypopnea syndrome(OSAHS)through data analysis,and explore the risk factors of OSAHS.Methods A total of 558 patients who underwent polysomnography in the Sleep Monitoring Room of Zigong Fourth People’s Hospital were recruited in the study.Among them there were 163 cases in a snore group and 395 cases in an OSAHS group.Risk factors of OSAHS were screened by both univariate analysis and multivariate analysis,then the model was established by means of binary logistic regression analysis.Finally,the screening model was evaluated by receiver operating characteristic(ROC) curve of the combined predictive factor.Results The screening model of OSAHS was established as:X=–10.286+0.280×body mass index+1.057×snoring degree+1.124×sex+0.085×Epworth score+0.036×age.In this equation,sex value was 1 for men and 0 for women.If the value of X is higher than 1.123,it is likely that OSAHS would occur,and the probability(P)=e^x/(1+e^x).The sensitivity of the screening model was 77.70%,the specificity was 85.89%,the area under the ROC curve was 0.890,and the 95% confidence interval ranged from 0.862 to 0.918.Conclusion This study demonstrates that a screening model based on the snoring degree,Epworth score,and body measurement data is a valuable tool to predict and screen OSAHS in patients with snoring,and the screening model could be useful in clinical diagnosis of OSAHS.

关 键 词：鼾症 阻塞性睡眠呼吸暂停低通气综合征 筛查 危险因素 

分 类 号：R766[医药卫生—耳鼻咽喉科]