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

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 questi...

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Autores principales: Teng, Yunjie, Wang, Shuxia, Wang, Ning, Muhuyati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111350/
https://www.ncbi.nlm.nih.gov/pubmed/30154877
http://dx.doi.org/10.5114/aoms.2018.73984
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author Teng, Yunjie
Wang, Shuxia
Wang, Ning
Muhuyati,
author_facet Teng, Yunjie
Wang, Shuxia
Wang, Ning
Muhuyati,
author_sort Teng, Yunjie
collection PubMed
description 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, p < 0.05), sensitivity was 85.6% (95% CI: 85.55–85.65%, p < 0.05) and specificity was 60% (95% CI: 59.85–60.15%, p < 0.05); when AHI > 15/h, the AUC was 0.856 (95% CI: 0.799–0.913, p < 0.05), sensitivity was 88.6% (95% CI: 88.55–88.65%, p < 0.05) and specificity was 38.4% (95% CI: 38.30–38.49%, p < 0.05); when AHI > 30/h, the AUC was 0.891 (95% CI: 0.836–0.946, p < 0.05), sensitivity was 90.5% (95% CI: 90.44–90.56%, p < 0.05), and specificity was 27% (95% CI: 26.94-27.07%, p < 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.
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spelling pubmed-61113502018-08-28 STOP-Bang questionnaire screening for obstructive sleep apnea among Chinese patients with type 2 diabetes mellitus Teng, Yunjie Wang, Shuxia Wang, Ning Muhuyati, Arch Med Sci Clinical Research 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, p < 0.05), sensitivity was 85.6% (95% CI: 85.55–85.65%, p < 0.05) and specificity was 60% (95% CI: 59.85–60.15%, p < 0.05); when AHI > 15/h, the AUC was 0.856 (95% CI: 0.799–0.913, p < 0.05), sensitivity was 88.6% (95% CI: 88.55–88.65%, p < 0.05) and specificity was 38.4% (95% CI: 38.30–38.49%, p < 0.05); when AHI > 30/h, the AUC was 0.891 (95% CI: 0.836–0.946, p < 0.05), sensitivity was 90.5% (95% CI: 90.44–90.56%, p < 0.05), and specificity was 27% (95% CI: 26.94-27.07%, p < 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. Termedia Publishing House 2018-03-02 2018-08 /pmc/articles/PMC6111350/ /pubmed/30154877 http://dx.doi.org/10.5114/aoms.2018.73984 Text en Copyright: © 2018 Termedia & Banach http://creativecommons.org/licenses/by-nc-sa/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
spellingShingle Clinical Research
Teng, Yunjie
Wang, Shuxia
Wang, Ning
Muhuyati,
STOP-Bang questionnaire screening for obstructive sleep apnea among Chinese patients with type 2 diabetes mellitus
title STOP-Bang questionnaire screening for obstructive sleep apnea among Chinese patients with type 2 diabetes mellitus
title_full STOP-Bang questionnaire screening for obstructive sleep apnea among Chinese patients with type 2 diabetes mellitus
title_fullStr STOP-Bang questionnaire screening for obstructive sleep apnea among Chinese patients with type 2 diabetes mellitus
title_full_unstemmed STOP-Bang questionnaire screening for obstructive sleep apnea among Chinese patients with type 2 diabetes mellitus
title_short STOP-Bang questionnaire screening for obstructive sleep apnea among Chinese patients with type 2 diabetes mellitus
title_sort stop-bang questionnaire screening for obstructive sleep apnea among chinese patients with type 2 diabetes mellitus
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111350/
https://www.ncbi.nlm.nih.gov/pubmed/30154877
http://dx.doi.org/10.5114/aoms.2018.73984
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