Identification of Patients with Sleep Disordered Breathing: Comparing the four-Variable Screening Tool, STOP, STOP-Bang, and Epworth Sleepiness Scales

被引:184
作者
Silva, Graciela E. [1 ]
Vana, Kimberly D. [1 ]
Goodwin, James L. [2 ,3 ]
Sherrill, Duane L. [3 ]
Quan, Stuart F. [2 ,4 ]
机构
[1] Arizona State Univ, Coll Nursing & Hlth Innovat, Phoenix, AZ 85004 USA
[2] Univ Arizona, Arizona Resp Ctr, Coll Med, Tucson, AZ USA
[3] Univ Arizona, Mel & Enid Zuckerman Coll Publ Hlth, Tucson, AZ USA
[4] Harvard Univ, Div Sleep Med, Sch Med, Boston, MA USA
来源
JOURNAL OF CLINICAL SLEEP MEDICINE | 2011年 / 7卷 / 05期
关键词
STOP questionnaire; STOP-Bang questionnaire; Epworth Sleepiness Scale; 4-Variable screening tool; sleep disordered breathing; prediction; BERLIN QUESTIONNAIRE; APNEA SYNDROME; POLYSOMNOGRAPHY; POPULATION; RISK;
D O I
10.5664/JCSM.1308
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Study Objective: The Epworth Sleepiness Scale (ESS) has been used to detect patients with potential sleep disordered breathing (SDB). Recently, a 4-Variable screening tool was proposed to identify patients with SDB, in addition to the STOP and STOP-Bang questionnaires. This study evaluated the abilities of the 4-Variable screening tool, STOP, STOP-Bang, and ESS questionnaires in identifying subjects at risk for SDB. Methods: A total of 4,770 participants who completed poly-somnograms in the baseline evaluation of the Sleep Heart Health Study (SHHS) were included. Subjects with RDIs >= 15 and >= 30 were considered to have moderate-to-severe or severe SDB, respectively. Variables were constructed to approximate those in the questionnaires. The risk of SDB was calculated by the 4-Variable screening tool according to Take-gami et al. The STOP and STOP-Bang questionnaires were evaluated including variables for snoring, tiredness/sleepiness, observed apnea, blood pressure, body mass index, age, neck circumference, and gender. Sleepiness was evaluated using the ESS questionnaire and scores were dichotomized into < 11 and >= 11. Results: The STOP-Bang questionnaire had higher sensitivity to predict moderate-to-severe (87.0%) and severe (70.4%) SDB, while the 4-Variable screening tool had higher specificity to predict moderate-to-severe and severe SDB (93.2% for both). Conclusions: In community populations such as the SHHS, high specificities may be more useful in excluding low-risk patients, while avoiding false positives. However, sleep clinicians may prefer to use screening tools with high sensitivities, like the STOP-Bang, in order to avoid missing cases that may lead to adverse health consequences and increased healthcare costs.
引用
收藏
页码:468 / 473
页数:6
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