Viner S, Szalai J P, Hoffstein V
St. Michael's Hospital, Sunnybrook Health Sciences Centre, Toronto, Ontario.
Ann Intern Med. 1991 Sep 1;115(5):356-9. doi: 10.7326/0003-4819-115-5-356.
To determine whether presenting clinical history, pharyngeal examination, and the overall subjective impression of the clinician could serve as a sensitive screening test for sleep apnea.
Blinded comparison of history and physical examination with results of nocturnal polysomnography.
Sleep clinic of a tertiary referral center.
A total of 410 patients referred for suspected sleep apnea syndrome. Most patients reported snoring.
All patients were asked standard questions and given an examination relevant to the diagnosis of the sleep apnea syndrome, and all had full nocturnal polysomnography. Patients with more than ten episodes of apnea or hypopnea per hour of sleep were classified as having sleep apnea. Stepwise linear logistic regression was used to develop two predictive models of sleep apnea: one based on the presence of characteristic clinical features, age, sex, and body mass index; and one based on subjective clinical impression.
The prevalence of sleep apnea in our patients was 46%. Only age, body mass index, male sex, and snoring were found to be predictors of sleep apnea. The logistic rule discriminated between patients with and without sleep apnea (receiver operating characteristic [ROC] area, 0.77 [95% Cl, 0.73 to 0.82]). For patients with a predicted probability of apnea of less than 20%, the clinical model had 94% sensitivity and 28% specificity. Subjective impression alone identified correctly only 52% of patients with sleep apnea and had a specificity of 70%.
In patients with a high predicted probability of the sleep apnea syndrome, subjective impression alone or any combination of clinical features cannot serve as a reliable screening test. However, in patients with a low predicted probability of sleep apnea, the model based on clinical data was sufficiently sensitive to permit about a 30% reduction in the number of unnecessary sleep studies.
确定呈现临床病史、咽部检查以及临床医生的整体主观印象是否可作为睡眠呼吸暂停的敏感筛查测试。
对病史和体格检查结果与夜间多导睡眠图结果进行盲法比较。
三级转诊中心的睡眠诊所。
共有410例因疑似睡眠呼吸暂停综合征而转诊的患者。大多数患者有打鼾症状。
所有患者均被询问标准问题并接受与睡眠呼吸暂停综合征诊断相关的检查,且均进行了完整的夜间多导睡眠图检查。每小时睡眠中呼吸暂停或呼吸不足发作超过十次的患者被归类为患有睡眠呼吸暂停。采用逐步线性逻辑回归建立两种睡眠呼吸暂停预测模型:一种基于特征性临床特征、年龄、性别和体重指数;另一种基于临床主观印象。
我们的患者中睡眠呼吸暂停的患病率为46%。仅发现年龄、体重指数、男性性别和打鼾是睡眠呼吸暂停的预测因素。该逻辑规则可区分有无睡眠呼吸暂停的患者(受试者操作特征曲线下面积,0.77[95%可信区间,0.73至0.82])。对于预测呼吸暂停概率小于20%的患者,临床模型的敏感性为94%,特异性为28%。仅主观印象仅能正确识别52%的睡眠呼吸暂停患者,特异性为70%。
在睡眠呼吸暂停综合征预测概率较高的患者中,仅主观印象或任何临床特征组合都不能作为可靠的筛查测试。然而,在睡眠呼吸暂停预测概率较低的患者中,基于临床数据的模型敏感性足够高,可使不必要的睡眠研究数量减少约30%。