Quaranta Vitaliano Nicola, Dragonieri Silvano, Carratù Pierluigi, Falcone Vito Antonio, Carucci Elisa, Ranieri Teresa, Ventura Valentina, Resta Onofrio
Department of Respiratory Diseases, University of Bari, Bari, Italy.
Lung India. 2016 Jan-Feb;33(1):14-9. doi: 10.4103/0970-2113.173061.
Falling asleep behind the wheel is one of the most relevant consequences of obstructive sleep apnea (OSA). We created a new screening questionnaire, named the Driver Sleepiness Score (DSS), aiming to assess sleepiness in drivers with suspected OSA. The primary aim of our study was to evaluate sleepiness in drivers with a suspicion of OSA by the DSS in order to assess its correlation with the apnea-hypopnea index (AHI), oxygen desaturation index (ODI), and total sleep time with oxyhemoglobin saturation below 90% (TST90). We also aimed to assess the diagnostic accuracy of DSS for three different cutoffs of AHI (AHI = 5, AHI = 15, AHI = 30), which allow stratification of the severity of OSA.
Seventy-three driving patients at risk for OSA participated in the study. DSS and the Epworth Sleepiness Scale (ESS) were both administered in operator-dependent modality and in randomized sequence.
The DSS showed higher accuracy in screening patients with mild OSA [area under curve (AUC): 0.88 vs 0.74] and moderate OSA (AUC: 0.88 vs 0.79), whereas ESS showed higher accuracy in screening patients with severe OSA (AUC: 0.91 vs 0.78). A DSS score ≥ 7 is the optimal cutoff for distinguishing true positives from false positives for the presence of OSA and for its different severity levels. The administration of both questionnaires increases the accuracy for the detection of all OSA severity levels.
If validated, DSS may qualify as a new screening tool specifically for drivers with the suspicion of having OSA, in combination with the ESS.
驾车时入睡是阻塞性睡眠呼吸暂停(OSA)最相关的后果之一。我们创建了一种名为驾驶员嗜睡评分(DSS)的新型筛查问卷,旨在评估疑似OSA的驾驶员的嗜睡情况。我们研究的主要目的是通过DSS评估疑似OSA的驾驶员的嗜睡情况,以评估其与呼吸暂停低通气指数(AHI)、氧饱和度下降指数(ODI)以及氧合血红蛋白饱和度低于90%的总睡眠时间(TST90)之间的相关性。我们还旨在评估DSS对AHI的三个不同截断值(AHI = 5、AHI = 15、AHI = 30)的诊断准确性,这些截断值可对OSA的严重程度进行分层。
73名有OSA风险的驾车患者参与了该研究。DSS和爱泼沃斯嗜睡量表(ESS)均以依赖操作员的方式并按随机顺序进行施测。
DSS在筛查轻度OSA患者(曲线下面积[AUC]:0.88对0.74)和中度OSA患者(AUC:0.88对0.79)时显示出更高的准确性,而ESS在筛查重度OSA患者时显示出更高的准确性(AUC:0.91对0.78)。DSS评分≥7是区分OSA存在及其不同严重程度的真阳性与假阳性的最佳截断值。两种问卷的施测均提高了检测所有OSA严重程度水平的准确性。
如果得到验证,DSS可能有资格作为一种专门针对疑似患有OSA的驾驶员的新型筛查工具,可与ESS联合使用。