Department of Otorhinolaryngology Head and Neck surgery, Sint Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.
Department of Otorhinolaryngology Head and Neck surgery, Universitair Medisch Centrum Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Sleep Breath. 2021 Sep;25(3):1267-1275. doi: 10.1007/s11325-020-02219-6. Epub 2020 Oct 24.
To evaluate the performance of the NoSAS (neck, obesity, snoring, age, sex) score, the STOP-Bang (snoring, tiredness, observed apneas, blood pressure, body mass index, age, neck circumference, gender) questionnaire, and the Epworth sleepiness score (ESS) as a screening tool for obstructive sleep apnea (OSA) severity based on the apnea-hypopnea index (AHI) and the oxygen desaturation index (ODI).
Data from 235 patients who were monitored by ambulant polysomnography (PSG) were retrospectively analyzed. OSA severity was classified based on the AHI; similar classification categories were made based on the ODI. Discrimination was assessed by the area under the curve (AUC), while predictive parameters were calculated by four-grid contingency tables.
The NoSAS score and the STOP-Bang questionnaire were both equally adequate screening tools for the AHI and the ODI with AUC ranging from 0.695 to 0.767 and 0.684 to 0.767, respectively. Both questionnaires perform better when used as a continuous variable. The ESS did not show adequate discrimination for screening for OSA (AUC ranging from 0.450 to 0.525). Male gender, age, and BMI proved to be the strongest individual predictors in this cohort.
This is the first study to evaluate the predictive performance of three different screening instruments with respect to both the AHI and the ODI. This is important, due to increasing evidence that the ODI may have a higher reproducibility in the clinical setting. The NoSAS score and the STOP-Bang questionnaire proved to be equally adequate to predict OSA severity based on both the AHI and the ODI.
评估 NoSAS(颈部、肥胖、打鼾、年龄、性别)评分、STOP-Bang(打鼾、嗜睡、观察到的呼吸暂停、血压、体重指数、年龄、颈围、性别)问卷和 Epworth 嗜睡评分(ESS)作为基于呼吸暂停低通气指数(AHI)和氧减指数(ODI)的阻塞性睡眠呼吸暂停(OSA)严重程度的筛查工具的性能。
回顾性分析了 235 名接受 ambulant 多导睡眠图(PSG)监测的患者的数据。根据 AHI 对 OSA 严重程度进行分类;根据 ODI 进行类似的分类。通过曲线下面积(AUC)评估鉴别能力,通过四格 contingency 表计算预测参数。
NoSAS 评分和 STOP-Bang 问卷都是 AHI 和 ODI 的有效筛查工具,AUC 范围分别为 0.695 至 0.767 和 0.684 至 0.767。这两个问卷作为连续变量使用时效果更好。ESS 对筛查 OSA 的鉴别能力不足(AUC 范围为 0.450 至 0.525)。在该队列中,男性、年龄和 BMI 被证明是最强的个体预测因素。
这是第一项评估三种不同筛查工具在 AHI 和 ODI 方面预测性能的研究。这很重要,因为越来越多的证据表明,ODI 在临床环境中可能具有更高的可重复性。NoSAS 评分和 STOP-Bang 问卷在基于 AHI 和 ODI 的情况下都被证明可以同样充分地预测 OSA 的严重程度。