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居家、自助式睡眠研究有助于诊断老年人的睡眠呼吸暂停症。

In-home, self-assembled sleep studies are useful in diagnosing sleep apnea in the elderly.

机构信息

Center for Sleep and Circadian Neurobiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA.

出版信息

Sleep. 2012 Nov 1;35(11):1491-501. doi: 10.5665/sleep.2196.

Abstract

OBJECTIVES

Obstructive sleep apnea (OSA) is common and treatable among the elderly. Yet, few older adults seek evaluation for OSA at sleep disorders centers. The authors assessed the feasibility of a two-stage screening procedure for obstructive sleep apnea syndrome (OSAS) in a community-based sample of older adults.

DESIGN

Prospective cohort study.

SETTING

Participants' domicile (in-home) and academic sleep research center.

PARTICIPANTS

There were 452 Medicare recipients residing in the greater Philadelphia metropolitan area with the complaint of daytime sleepiness.

INTERVENTIONS

None.

MEASUREMENTS AND RESULTS

All participants underwent in-home unattended sleep studies that recorded airflow, and standard in-laboratory polysomnography. Additional measures included symptoms of sleep apnea, body mass index, neck circumference, age, and sex. When comparing diagnostic approaches, the best-performing single-stage model was one that combined apnea symptoms with age and neck circumference. This model had an area under the receiver operating characteristic curve (AUC) of 0.774 and negative posttest probability of 1.2%. The best-performing two-stage model combined symptoms, neck circumference, age, and sex in the first stage, followed by an unattended portable study with a corresponding AUC of 0.85 and negative posttest probability of 0.5%.

CONCLUSIONS

Unattended, self-assembled, in-home sleep studies recording airflow and respiratory effort are most useful if applied in tandem with clinical data, including a carefully obtained sleep history. This two-stage model is accurate in identifying severe OSAS in older adults and represents a practical diagnostic approach for older adults. Incorporating clinical data was vital and increased accuracy well above that of unattended studies of airflow and effort alone.

摘要

目的

阻塞性睡眠呼吸暂停(OSA)在老年人中较为常见且可治疗。然而,很少有老年人在睡眠障碍中心寻求 OSA 的评估。作者评估了一种在社区老年人样本中用于阻塞性睡眠呼吸暂停综合征(OSAS)的两阶段筛查程序的可行性。

设计

前瞻性队列研究。

设置

参与者的住所(家中)和学术睡眠研究中心。

参与者

有 452 名居住在大费城大都市区的医疗保险受益人,他们抱怨白天嗜睡。

干预措施

无。

测量和结果

所有参与者都接受了家庭中无人值守的睡眠研究,该研究记录了气流以及标准的实验室多导睡眠图。其他措施包括睡眠呼吸暂停症状、体重指数、颈围、年龄和性别。在比较诊断方法时,表现最佳的单阶段模型是将睡眠呼吸暂停症状与年龄和颈围相结合的模型。该模型的受试者工作特征曲线(ROC)下面积(AUC)为 0.774,阴性后测概率为 1.2%。表现最佳的两阶段模型首先在第一阶段结合症状、颈围、年龄和性别,然后进行无人值守的便携式研究,相应的 AUC 为 0.85,阴性后测概率为 0.5%。

结论

如果将无人值守、自行组装、记录气流和呼吸努力的家庭睡眠研究与包括精心获取的睡眠史在内的临床数据一起使用,则最有用。这种两阶段模型可准确识别老年人中的严重 OSAS,是一种实用的老年患者诊断方法。纳入临床数据至关重要,其准确性远远超过单独使用气流和努力的无人值守研究。

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