Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona.
College of Nursing, University of Arizona, Tucson, Arizona.
J Clin Sleep Med. 2021 Aug 1;17(8):1635-1643. doi: 10.5664/jcsm.9268.
To evaluate predictions of moderate to severe obstructive sleep apnea (MS-OSA) by the neck circumference/height ratio (NHR) and waist circumference/height ratio (WHR) and compare to the derived STOP-Bang Questionnaire (dSBQ) prediction.
Included were 6,167 participants from the Sleep Heart Health Study baseline evaluation who completed polysomnograms and had anthropometric measurements and data to compute proxy dSBQ item answers. The sample was divided randomly into derivation (n = 2,035) and validation (n = 4,132) subsets. The derivation sample was used to estimate the NHR and WHR cut points to detect MS-OSA; the validation sample was used to evaluate sensitivity and specificity.
Mean age was 63.1 years, and 47.2% were men for the overall sample. In the derivation sample, a cut point ≥ 0.21 for NHR yielded a sensitivity of 92.0% and a specificity of 25.0%; a cut point ≥ 0.52 for WHR yielded a sensitivity of 91.2% and a specificity of 25.0% for MS-OSA. Using the validation sample, the NHR, WHR, and dSBQ areas under the receiver operator curves were 69.8%, 65.2%, and 70.5%, respectively, for MS-OSA. There was no statistical difference with listwise comparison of the NHR and dSBQ areas under the receiver operator curves ( = .997); however, there was a significant difference between the WHR and dSBQ areas under the receiver operator curves ( = .015) for MS-OSA.
The NHR is a viable obstructive sleep apnea screening tool comparable to the dSBQ, independent of witnessed apneas and body mass index, that can be used for different body types.
Vana KD, Silva GE, Carreon JD, Quan SF. Using anthropometric measures to screen for obstructive sleep apnea in the Sleep Heart Health Study cohort. . 2021;17(8):1635-1643.
评估颈围/身高比（NHR）和腰围/身高比（WHR）对中重度阻塞性睡眠呼吸暂停（MS-OSA）的预测，并与衍生的 STOP-Bang 问卷（dSBQ）预测进行比较。
纳入了睡眠心脏健康研究基线评估中完成多导睡眠图检查且有体格测量和计算代理 dSBQ 项目答案数据的 6167 名参与者。该样本被随机分为推导（n = 2035）和验证（n = 4132）子集。推导样本用于估计 NHR 和 WHR 切点以检测 MS-OSA；验证样本用于评估敏感性和特异性。
总体样本的平均年龄为 63.1 岁，47.2%为男性。在推导样本中，NHR 切点≥0.21 时，敏感性为 92.0%，特异性为 25.0%；WHR 切点≥0.52 时，MS-OSA 的敏感性为 91.2%，特异性为 25.0%。使用验证样本，NHR、WHR 和 dSBQ 的接收者操作特征曲线下面积分别为 69.8%、65.2%和 70.5%，用于 MS-OSA。NHR 和 dSBQ 接收者操作特征曲线下面积的列表比较没有统计学差异（=0.997）；然而，WHR 和 dSBQ 接收者操作特征曲线下面积有显著差异（=0.015），用于 MS-OSA。
NHR 是一种可行的阻塞性睡眠呼吸暂停筛查工具，与 dSBQ 相当，独立于目击性呼吸暂停和体重指数，可以用于不同的体型。
Vana KD，Silva GE，Carreon JD，Quan SF。使用人体测量指标在睡眠心脏健康研究队列中筛查阻塞性睡眠呼吸暂停。睡眠。2021；17(8)：1635-1643。
