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本文引用的文献

1
Diagnostic accuracy of the Berlin questionnaire, STOP-BANG, STOP, and Epworth sleepiness scale in detecting obstructive sleep apnea: A bivariate meta-analysis.柏林问卷、STOP-BANG 问卷、STOP 问卷和 Epworth 嗜睡量表诊断阻塞性睡眠呼吸暂停的准确性:双变量荟萃分析。
Sleep Med Rev. 2017 Dec;36:57-70. doi: 10.1016/j.smrv.2016.10.004. Epub 2016 Nov 5.
2
Screening for obstructive sleep apnea syndrome in patients with type 2 diabetes mellitus: a prospective study on sensitivity of Berlin and STOP-Bang questionnaires.2型糖尿病患者阻塞性睡眠呼吸暂停综合征的筛查:关于柏林问卷和STOP-Bang问卷敏感性的前瞻性研究
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3
Body mass index and all-cause mortality among older adults.老年人的体重指数与全因死亡率
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Prevalence of obstructive sleep apnea in the general population: A systematic review.普通人群中阻塞性睡眠呼吸暂停的患病率:系统评价。
Sleep Med Rev. 2017 Aug;34:70-81. doi: 10.1016/j.smrv.2016.07.002. Epub 2016 Jul 18.
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Validation of the STOP-Bang Questionnaire as a Screening Tool for Obstructive Sleep Apnea among Different Populations: A Systematic Review and Meta-Analysis.STOP-Bang问卷作为不同人群阻塞性睡眠呼吸暂停筛查工具的验证:一项系统评价和荟萃分析
PLoS One. 2015 Dec 14;10(12):e0143697. doi: 10.1371/journal.pone.0143697. eCollection 2015.
6
STOP-Bang Questionnaire: A Practical Approach to Screen for Obstructive Sleep Apnea.STOP-Bang问卷:一种筛查阻塞性睡眠呼吸暂停的实用方法。
Chest. 2016 Mar;149(3):631-8. doi: 10.1378/chest.15-0903. Epub 2016 Jan 12.
7
STOP-Bang questionnaire is superior to Epworth sleepiness scales, Berlin questionnaire, and STOP questionnaire in screening obstructive sleep apnea hypopnea syndrome patients.STOP-Bang问卷在筛查阻塞性睡眠呼吸暂停低通气综合征患者方面优于Epworth嗜睡量表、柏林问卷和STOP问卷。
Chin Med J (Engl). 2014;127(17):3065-70.
8
Alternative scoring models of STOP-bang questionnaire improve specificity to detect undiagnosed obstructive sleep apnea.STOP- Bang问卷的替代评分模型提高了检测未诊断阻塞性睡眠呼吸暂停的特异性。
J Clin Sleep Med. 2014 Sep 15;10(9):951-8. doi: 10.5664/jcsm.4022.
9
BMI and all-cause mortality in older adults: a meta-analysis.体质指数与老年人全因死亡率的关系:一项荟萃分析。
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10
Lower BMI is a predictor of obstructive sleep apnea in elderly Thai hypertensive patients.较低的体重指数是泰国老年高血压患者阻塞性睡眠呼吸暂停的一个预测指标。
Sleep Breath. 2013 Dec;17(4):1215-9. doi: 10.1007/s11325-013-0826-3. Epub 2013 Feb 27.

探索用于老年人阻塞性睡眠呼吸暂停筛查的STOP-BANG问卷。

Exploring the STOP-BANG questionnaire for obstructive sleep apnea screening in seniors.

作者信息

Martins Emerson Ferreira, Martinez Denis, Cortes Antonio Lasalvia, Nascimento Nicole, Brendler Juliana

机构信息

Program in Cardiology, School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.

Cardiology Division, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.

出版信息

J Clin Sleep Med. 2020 Feb 15;16(2):199-206. doi: 10.5664/jcsm.8166. Epub 2020 Jan 13.

DOI:10.5664/jcsm.8166
PMID:31992408
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7053028/
Abstract

STUDY OBJECTIVES

The accuracy of obstructive sleep apnea (OSA) screening instruments in seniors may change as the predictive role of sex, age, and body mass index (BMI) changes with aging. We investigated the diagnostic performance of the STOP-BANG questionnaire in older individuals with aging-adapted scores and thresholds.

METHODS

Independent community-dwelling adults aged 65 years or older were screened for OSA. The STOP-BANG questionnaire was tested with different configurations and compared to the apnea-hypopnea index (AHI) obtained from home sleep apnea testing (HSAT). Epworth Sleepiness Scale (ESS) and Athens Insomnia Scale (AIS) were tested as possible supplementary screening criteria.

RESULTS

We recruited 458 individuals with a mean age of 71 ± 5 years, 41% men, BMI of 28.5 ± 4.6 kg/m². Mild, moderate, and severe OSA were present in, respectively, 34%, 30%, and 19% of the sample. The STOP questions had an area under the curve (AUC) of the receiver operating characteristic curve significantly lower than the STOP-BANG and the STOP+BMI > 28 kg/m² (STOP-B28). Both STOP-BANG and STOP-B28 had high sensitivity and low specificity in all OSA levels with similar AUC to predict AHI ≥ 5 events/h, 0.64. ESS and AIS were nonsignificant as adjunctive instruments.

CONCLUSIONS

Novel modifications of a standard instrument created the STOP-B28, a simpler-to-obtain and similarly performing variation of the STOP-BANG using fewer inputs, and useful to exclude OSA. Screening seniors via questionnaires to detect OSA is problematic. Considering the 83% OSA prevalence in this age group, it may be a sensible option to indicate objective tests, oximetry, HSAT, or even polysomnography, as a first step in OSA investigation.

摘要

研究目的

随着性别、年龄和体重指数(BMI)的预测作用随年龄增长而变化,老年人阻塞性睡眠呼吸暂停(OSA)筛查工具的准确性可能会改变。我们研究了采用适应年龄的评分和阈值时,STOP-BANG问卷在老年人中的诊断性能。

方法

对65岁及以上独立居住在社区的成年人进行OSA筛查。采用不同配置对STOP-BANG问卷进行测试,并与家庭睡眠呼吸暂停测试(HSAT)获得的呼吸暂停低通气指数(AHI)进行比较。对爱泼华嗜睡量表(ESS)和雅典失眠量表(AIS)作为可能的补充筛查标准进行测试。

结果

我们招募了458名平均年龄为71±5岁的个体,其中男性占41%,BMI为28.5±4.6kg/m²。样本中轻度、中度和重度OSA的发生率分别为34%、30%和19%。STOP问题在接受者操作特征曲线下的面积(AUC)显著低于STOP-BANG和STOP+BMI>28kg/m²(STOP-B28)。在所有OSA水平上,STOP-BANG和STOP-B28均具有高敏感性和低特异性,预测AHI≥5次/小时的AUC相似,为0.64。ESS和AIS作为辅助工具无显著意义。

结论

对标准工具进行的新修改产生了STOP-B28,这是一种更易于获取且性能相似的STOP-BANG变体,使用的输入更少,有助于排除OSA。通过问卷筛查老年人以检测OSA存在问题。考虑到该年龄组OSA患病率为83%,将客观测试、血氧饱和度测定、HSAT甚至多导睡眠图作为OSA调查的第一步可能是一个明智的选择。