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A predictive model for the obstructive sleep apnea hypopnea syndrome
Author(s): 
Pages: 367-371
Year: Issue:  6
Journal: CHINESE JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Keyword:  阻塞性睡眠呼吸暂停低通气综合征预测模型;
Abstract: 目的根据阻塞性睡眠呼吸暂停低通气综合征(OSAHS)患者的常见临床表现和脉搏血氧仪监测的数据,建立可靠性较高的临床预测、筛检模型.方法采用病例对照研究,随机抽取非OSAHS组受试者129例,OSAHS组受试者107例,用logistic回归法建立回归方程.作出ROC曲线,选择预测患病概率的诊断点.结果患病概率P=ex/(1+ex),x=-1.977+1.27a-1.13b+0.13c,其中a代表有无夜间憋醒(有夜间憋醒=1,无夜间憋醒=0),b代表性别(男性=1,女性=2),c代表氧减饱和指数,将P>0.15作为OSAHS的诊断点,敏感性为96.3%,特异性约50%.结论疑诊为OSAHS患者的临床特点结合氧减饱和指数,可以较好的预测、筛检OSAHS患者.
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