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应用STOP-Bang问卷筛查中国2型糖尿病患者阻塞性睡眠呼吸暂停情况

STOP-Bang questionnaire screening for obstructive sleep apnea among Chinese patients with type 2 diabetes mellitus.

作者信息

Teng Yunjie, Wang Shuxia, Wang Ning

机构信息

Center of Health Management, The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China.

Department of No. 1 Cadre Ward Medicine, The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China.

出版信息

Arch Med Sci. 2018 Aug;14(5):971-978. doi: 10.5114/aoms.2018.73984. Epub 2018 Mar 2.

DOI:10.5114/aoms.2018.73984
PMID:30154877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6111350/
Abstract

INTRODUCTION

The aim of the current study was to evaluate the efficiency of the STOP-Bang questionnaire for obstructive sleep apnea (OSA) screening among Chinese patients with type 2 diabetes mellitus (T2DM).

MATERIAL AND METHODS

A total of 262 patients with T2DM were enrolled for STOP-Bang questionnaire evaluation and polysomnography (PSG) monitoring between May 2015 and September 2016. Patients were divided into non-OSA and different OSA severity groups (mild, moderate, and severe) according to the apnea-hypopnea index (AHI). The value of the STOP-Bang questionnaire for OSA screening was evaluated.

RESULTS

Efficiency of the STOP-Bang questionnaire for OSA screening among Chinese patients with T2DM was as follows: when AHI ≥ 5/h, the area under the curve (AUC) was 0.825 (95% confidence interval (CI): 0.763-0.887, < 0.05), sensitivity was 85.6% (95% CI: 85.55-85.65%, < 0.05) and specificity was 60% (95% CI: 59.85-60.15%, < 0.05); when AHI > 15/h, the AUC was 0.856 (95% CI: 0.799-0.913, < 0.05), sensitivity was 88.6% (95% CI: 88.55-88.65%, < 0.05) and specificity was 38.4% (95% CI: 38.30-38.49%, < 0.05); when AHI > 30/h, the AUC was 0.891 (95% CI: 0.836-0.946, < 0.05), sensitivity was 90.5% (95% CI: 90.44-90.56%, < 0.05), and specificity was 27% (95% CI: 26.94-27.07%, < 0.05).

CONCLUSIONS

The STOP-Bang questionnaire is an effective tool for OSA screening among Chinese patients with T2DM. A cut-off score of 3 distinguishes OSA from non-OSA with high sensitivity.

摘要

引言

本研究旨在评估STOP-Bang问卷在中国2型糖尿病(T2DM)患者中筛查阻塞性睡眠呼吸暂停(OSA)的效率。

材料与方法

2015年5月至2016年9月期间,共纳入262例T2DM患者进行STOP-Bang问卷评估和多导睡眠图(PSG)监测。根据呼吸暂停低通气指数(AHI)将患者分为非OSA组和不同OSA严重程度组(轻度、中度和重度)。评估STOP-Bang问卷对OSA筛查的价值。

结果

STOP-Bang问卷在中国T2DM患者中筛查OSA的效率如下:当AHI≥5/h时,曲线下面积(AUC)为0.825(95%置信区间(CI):0.763 - 0.887,P<0.05),敏感性为85.6%(95%CI:85.55 - 85.65%,P<0.05),特异性为60%(95%CI:59.85 - 60.15%,P<0.05);当AHI>15/h时,AUC为0.856(95%CI:0.799 - 0.913,P<0.05),敏感性为88.6%(95%CI:88.55 - 88.65%,P<0.05),特异性为38.4%(95%CI:38.30 - 38.49%,P<0.05);当AHI>30/h时,AUC为0.891(95%CI:0.836 - 0.946,P<0.05),敏感性为90.5%(95%CI:90.44 - 90.56%,P<0.05),特异性为27%(95%CI:26.94 - 27.07%,P<0.05)。

结论

STOP-Bang问卷是在中国T2DM患者中筛查OSA的有效工具。截断分数为3时,能以高敏感性区分OSA与非OSA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63d7/6111350/8a01ca03de23/AMS-14-32070-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63d7/6111350/86b58d0462c3/AMS-14-32070-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63d7/6111350/ba74e04fb6cd/AMS-14-32070-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63d7/6111350/8a01ca03de23/AMS-14-32070-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63d7/6111350/86b58d0462c3/AMS-14-32070-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63d7/6111350/ba74e04fb6cd/AMS-14-32070-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63d7/6111350/8a01ca03de23/AMS-14-32070-g003.jpg

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