Solecka Sarka, Tomaskova Hana, Chudy Milos, Kostlivy Tomas, Slonkova Jana
Department of Otorhinolaryngology, St Luke's Hospital, Bielsko-Biala, 43-309, Poland.
Department of Otorhinolaryngology, Hospital in Frýdek-Místek, Frýdek-Místek, 738 01, Czech Republic.
Nat Sci Sleep. 2025 Jun 4;17:1163-1174. doi: 10.2147/NSS.S518391. eCollection 2025.
We designed and validated a concise, efficient screening tool, the Sleep Apnea Risk Assessment (SARA), to identify patients at high risk of moderate to-severe obstructive sleep apnea.
We conducted a two-phase, multicenter study from September 1, 2018, to October 31, 2023. We created Cohort A (n=221, mean age 50.5±13.0 years, 69.2% male) to design SARA and compared the results with the Epworth Sleepiness Scale, Berlin Questionnaire, Pittsburgh Sleep Quality Index, STOP-Bang, and STOP questionnaires. Cohort B (n=253, mean age 48.0±13.4 years, 75.5% male) served for validation.
SARA comprises six variables with the highest accuracy: sleep apnea observed by the bedroom partner (8 points), snoring (5 points), male sex (3 points), age≥50 years (3 points), daytime fatigue (3 points), and body mass index≥30 kg/m (2 points). SARA yielded an area under the receiver operating characteristic curve (AUC) of 0.77 (95% CI: 0.71-0.83) and sensitivity of 87.2% (95% CI: 80.8-92.1) in cohort A at a cut-off score of ≥11 points. Validation in cohort B showed an AUC of 0.79 (95% CI: 0.74-0.84) and a sensitivity of 98% (95% CI: 89.2-95.4). SARA performance significantly outperformed the other questionnaires tested.
The SARA is a promising new screening tool for moderate-to-severe obstructive sleep apnea, demonstrating high sensitivity and a strong ROC curve. Further large-scale validation is recommended.
我们设计并验证了一种简洁、高效的筛查工具——睡眠呼吸暂停风险评估(SARA),用于识别中度至重度阻塞性睡眠呼吸暂停的高危患者。
我们于2018年9月1日至2023年10月31日进行了一项两阶段的多中心研究。我们创建了队列A(n = 221,平均年龄50.5±13.0岁,69.2%为男性)来设计SARA,并将结果与爱泼沃斯嗜睡量表、柏林问卷、匹兹堡睡眠质量指数、STOP - Bang问卷和STOP问卷进行比较。队列B(n = 253,平均年龄48.0±13.4岁,75.5%为男性)用于验证。
SARA包含六个准确性最高的变量:卧室伴侣观察到的睡眠呼吸暂停(8分)、打鼾(5分)、男性(3分)、年龄≥50岁(3分)、白天疲劳(3分)和体重指数≥30 kg/m²(2分)。在队列A中,SARA在截断分数≥11分时,受试者工作特征曲线下面积(AUC)为0.77(95%可信区间:0.71 - 0.83),敏感性为87.2%(95%可信区间:80.8 - 92.1)。在队列B中的验证显示AUC为0.79(95%可信区间:0.74 - 0.84),敏感性为98%(95%可信区间:89.2 - 95.4)。SARA的性能显著优于其他测试问卷。
SARA是一种用于中度至重度阻塞性睡眠呼吸暂停的有前景的新型筛查工具,具有高敏感性和强大的ROC曲线。建议进行进一步的大规模验证。