Evaluation of five different questionnaires for assessing sleep apnea syndrome in a sleep clinic

被引:107
作者
Pataka, Athanasia [1 ]
Daskalopoulou, Euphemia [2 ]
Kalamaras, George [1 ]
Passa, Katalin Fekete [1 ]
Argyropoulou, Parakevi [1 ]
机构
[1] G Papanikolaou Hosp, Resp Failure Unit, Thessaloniki, Greece
[2] St Paul Gen Hosp, Dept Internal Med, Sleep Lab, Thessaloniki, Greece
关键词
ESS; STOP; STOPBang; Berlin Questionnaire; 4-Variable Screening Tool; Evaluation; BERLIN QUESTIONNAIRE; IDENTIFY PATIENTS; VALIDATION; RISK; DIAGNOSIS; POLYSOMNOGRAPHY; IDENTIFICATION; TRANSLATION; SPECIFICITY; SENSITIVITY;
D O I
10.1016/j.sleep.2014.03.012
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Obstructive sleep apnea/hypopnea syndrome (OSAHS) is a major cause of morbidity and mortality. Different clinical models and questionnaires have been used to evaluate patients with the highest OSAHS probability. Objectives: To evaluate the clinical utility of five different questionnaires - STOP, STOPBang (SB), Berlin Questionnaire (BQ), Epworth Sleepiness Scale (ESS), and 4-Variable Screening Tool (4-V) - in a sleep clinic in order to identify patients at risk for OSAHS and to assess the best possible combination of these tools. Methods: 1853 (74.4% males) patients (mean age 52 +/- 14 years; mean body mass index 32.8 +/- 7 kg/m(2)) visiting a sleep clinic were studied retrospectively. Results: SB had the highest sensitivity (97.6%), the largest area under the receiver operating characteristics curve (AUC) (0.73; 95% CI, 0.7-0.76) and best OR (5.9; 95% CI, 3.6-9.5), but the lowest specificity (12.7%) for AHI >= 15. The 4-V >= 14 had the highest specificity (74.4%) followed by ESS (67%). BQ had good sensitivity (87%), worse specificity (33%) than 4-V and ESS but better than STOP (13%) and SB (12.7%). The combination of questionnaires did not improve their predictive value. Conclusions: SB had the highest sensitivity, OR, and AUC, but rather low specificity, and 4-V the highest specificity. The combination of different questionnaires did not improve their predictive value. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:776 / 781
页数:6
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