Dosman James A, Karunanayake Chandima P, Fenton Mark, Ramsden Vivian R, Seeseequasis Jeremy, Mike Delano, Seesequasis Warren, Neubuhr Marie, Skomro Robert, Kirychuk Shelley, Rennie Donna C, McMullin Kathleen, Russell Brooke P, Koehncke Niels, Abonyi Sylvia, King Malcolm, Pahwa Punam
Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, 104 Clinic Place, Saskatoon, SK S7N 2Z4, Canada.
Department of Medicine, University of Saskatchewan, 103 Hospital Drive, Saskatoon, SK S7N 0W8, Canada.
Clocks Sleep. 2022 Oct 12;4(4):535-548. doi: 10.3390/clockssleep4040042.
The STOP-Bang questionnaire is an easy-to-administer scoring model to screen and identify patients at high risk of obstructive sleep apnea (OSA). However, its diagnostic utility has never been tested with First Nation peoples. The objective was to determine the predictive parameters and the utility of the STOP-Bang questionnaire as an OSA screening tool in a First Nation community in Saskatchewan. The baseline survey of the First Nations Sleep Health Project (FNSHP) was completed between 2018 and 2019. Of the available 233 sleep apnea tests, 215 participants completed the STOP-Bang score questionnaire. A proportional odds ordinal logistic regression analysis was conducted using the total score of the STOP-Bang as the independent variable with equal weight given to each response. Predicted probabilities for each score at cut-off points of the Apnea Hypopnea Index (AHI) were calculated and plotted. To assess the performance of the STOP-Bang questionnaire, sensitivity, specificity, positive predictive values (PPVs), negative predictive values (NPVs), and area under the curve (AUC) were calculated. These data suggest that a STOP-Bang score ≥ 5 will allow healthcare professionals to identify individuals with an increased probability of moderate-to-severe OSA, with high specificity (93.7%) and NPV (91.8%). For the STOP-Bang score cut-off ≥ 3, the sensitivity was 53.1% for all OSA and 72.0% for moderate-to-severe OSA. For the STOP-Bang score cut-off ≥ 3, the specificity was 68.4% for all OSA and 62.6% for moderate-to-severe OSA. The STOP-Bang score was modestly superior to the symptom of loud snoring, or loud snoring plus obesity in this population. Analysis by sex suggested that a STOP-Bang score ≥ 5 was able to identify individuals with increased probability of moderate-to-severe OSA, for males with acceptable diagnostic test accuracy for detecting participants with OSA, but there was no diagnostic test accuracy for females.
STOP - Bang问卷是一种易于管理的评分模型,用于筛查和识别阻塞性睡眠呼吸暂停(OSA)的高危患者。然而,其诊断效用从未在原住民中进行过测试。目的是确定STOP - Bang问卷在萨斯喀彻温省一个原住民社区中作为OSA筛查工具的预测参数和效用。原住民睡眠健康项目(FNSHP)的基线调查于2018年至2019年完成。在233项可用的睡眠呼吸暂停测试中,215名参与者完成了STOP - Bang评分问卷。使用STOP - Bang的总分作为自变量进行比例优势有序逻辑回归分析,每个回答赋予同等权重。计算并绘制了呼吸暂停低通气指数(AHI)截断点处每个分数的预测概率。为了评估STOP - Bang问卷的性能,计算了敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)和曲线下面积(AUC)。这些数据表明,STOP - Bang评分≥5将使医疗保健专业人员能够识别中度至重度OSA可能性增加的个体,具有高特异性(93.7%)和NPV(91.8%)。对于STOP - Bang评分截断值≥3,所有OSA的敏感性为53.1%,中度至重度OSA的敏感性为72.0%。对于STOP - Bang评分截断值≥3,所有OSA的特异性为68.4%,中度至重度OSA的特异性为62.6%。在该人群中,STOP - Bang评分略优于大声打鼾症状或大声打鼾加肥胖症状。按性别分析表明,STOP - Bang评分≥5能够识别中度至重度OSA可能性增加的个体,对于男性,检测OSA参与者的诊断测试准确性可接受,但对于女性则没有诊断测试准确性。