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Predictive abilities of the STOP-Bang and Epworth Sleepiness Scale in identifying sleep clinic patients at high risk for obstructive sleep apnea

机译:STOP-Bang和Epworth嗜睡量表在识别阻塞性睡眠呼吸暂停高危睡眠临床患者中的预测能力

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摘要

This study compared the predictive abilities of the STOP-Bang and Epworth Sleepiness Scale (ESS) for screening sleep clinic patients for obstructive sleep apnea (OSA) and sleep-disordered breathing (SDB). Forty-seven new adult patients without previous diagnoses of OSA or SDB were administered the STOP-Bang and ESS and were assigned to OSA or SDB risk groups based on their scores. STOP-Bang responses were scored with two Body Mass Index cut points of 35 and 30kg/m2 (SB35 and SB30). The tools' predictive abilities were determined by comparing patients' predicted OSA and SDB risks to their polysomnographic results. The SB30 correctly identified more patients with OSA and SDB than the ESS alone. The ESS had the highest specificity for OSA and SDB.
机译:这项研究比较了STOP-Bang和Epworth嗜睡量表(ESS)对筛查睡眠临床患者的阻塞性睡眠呼吸暂停(OSA)和睡眠呼吸障碍(SDB)的预测能力。对47例先前没有诊断出OSA或SDB的成年新患者进行了STOP-Bang和ESS的治疗,并根据他们的评分分配给OSA或SDB风险组。 STOP-Bang反应的得分分别为两个体重指数切入点35和30kg / m2(SB35和SB30)。通过将患者的预测OSA和SDB风险与其多导睡眠图检查结果进行比较来确定工具的预测能力。与仅使用ESS相比,SB30可以正确识别出更多的OSA和SDB患者。 ESS对OSA和SDB的特异性最高。

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