Anthropometric Measures for the Prognosis of Obstructive Sleep Apnea in Obese.

IF 1.2 Q2 MEDICINE, GENERAL & INTERNAL
Laura Souza Lagares, Ramon Souza Lino, Eric Simas Bomfim, Felipe Almeida Santos, Ciro Oliveira Queiroz, Lélia Lessa Pinto, Luiz Alberto Bastos Almeida, Clarcson Plácido Santos
{"title":"Anthropometric Measures for the Prognosis of Obstructive Sleep Apnea in Obese.","authors":"Laura Souza Lagares, Ramon Souza Lino, Eric Simas Bomfim, Felipe Almeida Santos, Ciro Oliveira Queiroz, Lélia Lessa Pinto, Luiz Alberto Bastos Almeida, Clarcson Plácido Santos","doi":"10.3121/cmr.2022.1679","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The objective of this study was to identify, among the different anthropometric indicators, the one that shows higher discriminatory power for the prognosis of Obstructive Sleep Apnea Syndrome (OSAS).</p><p><strong>Design: </strong>Observational cross-sectional study PARTICIPANTS: Obese individuals elective to bariatric surgery METHODS: A study based on data of 758 patients aged ≥ 21 years old, of both sexes, in the pre-operatory stage of the surgical procedure of gastric bypass. Obstructive sleep apnea and obstructive sleep hypopnea were evaluated and classified through the apnea-hypopnea index, which was obtained through the examination of polysomnography. Variables were divided into two groups: individuals with and without OSAS. As predictors, measures of body mass index (BMI), neck circumference (NC), and waist circumference (WC) were used.</p><p><strong>Results: </strong>The area under the ROC curve was used to check the sensitivity and specificity. All evaluated anthropometric indicators showed statistical significance. WC: area of 0.62 (CI 95%: 0.58 - 0.67), NC: area of 0,68 (CI 95%: 0.64 - 0.72) and BMI: area of 0.58 (CI 95%: 0.54 - 0.63).</p><p><strong>Conclusion: </strong>The investigated anthropometric indicators performed as good predictors of OSAS. However, NC seems to be the best anthropometric indicator for the prognosis of OSAS in obese individuals when compared to BMI and WC.</p>","PeriodicalId":47429,"journal":{"name":"Clinical Medicine & Research","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544195/pdf/0200147.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Medicine & Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3121/cmr.2022.1679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: The objective of this study was to identify, among the different anthropometric indicators, the one that shows higher discriminatory power for the prognosis of Obstructive Sleep Apnea Syndrome (OSAS).

Design: Observational cross-sectional study PARTICIPANTS: Obese individuals elective to bariatric surgery METHODS: A study based on data of 758 patients aged ≥ 21 years old, of both sexes, in the pre-operatory stage of the surgical procedure of gastric bypass. Obstructive sleep apnea and obstructive sleep hypopnea were evaluated and classified through the apnea-hypopnea index, which was obtained through the examination of polysomnography. Variables were divided into two groups: individuals with and without OSAS. As predictors, measures of body mass index (BMI), neck circumference (NC), and waist circumference (WC) were used.

Results: The area under the ROC curve was used to check the sensitivity and specificity. All evaluated anthropometric indicators showed statistical significance. WC: area of 0.62 (CI 95%: 0.58 - 0.67), NC: area of 0,68 (CI 95%: 0.64 - 0.72) and BMI: area of 0.58 (CI 95%: 0.54 - 0.63).

Conclusion: The investigated anthropometric indicators performed as good predictors of OSAS. However, NC seems to be the best anthropometric indicator for the prognosis of OSAS in obese individuals when compared to BMI and WC.

用于预测肥胖症患者阻塞性睡眠呼吸暂停的人体测量指标。
研究目的本研究的目的是在不同的人体测量指标中,找出对阻塞性睡眠呼吸暂停综合征(OSAS)的预后具有较高鉴别力的指标:设计:观察性横断面研究 参与者:选择减肥的肥胖者方法:一项基于 758 名年龄≥ 21 岁、处于胃旁路手术术前阶段的男女患者数据的研究。通过多导睡眠图检查获得的呼吸暂停-低通气指数,对阻塞性睡眠呼吸暂停和阻塞性睡眠低通气进行评估和分类。变量分为两组:有 OSAS 和无 OSAS 的个体。作为预测指标,使用了体重指数(BMI)、颈围(NC)和腰围(WC)的测量值:结果:采用 ROC 曲线下面积来检测灵敏度和特异性。所有评估的人体测量指标均具有统计学意义。WC: 面积为 0.62 (CI 95%: 0.58 - 0.67),NC: 面积为 0.68 (CI 95%: 0.64 - 0.72),BMI: 面积为 0.58 (CI 95%: 0.54 - 0.63):结论:所研究的人体测量指标都能很好地预测 OSAS。结论:所调查的人体测量指标都能很好地预测 OSAS,但与 BMI 和 WC 相比,NC 似乎是预测肥胖者 OSAS 的最佳人体测量指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Clinical Medicine & Research
Clinical Medicine & Research MEDICINE, GENERAL & INTERNAL-
CiteScore
1.80
自引率
7.10%
发文量
25
期刊介绍: Clinical Medicine & Research is a peer reviewed publication of original scientific medical research that is relevant to a broad audience of medical researchers and healthcare professionals. Articles are published quarterly in the following topics: -Medicine -Clinical Research -Evidence-based Medicine -Preventive Medicine -Translational Medicine -Rural Health -Case Reports -Epidemiology -Basic science -History of Medicine -The Art of Medicine -Non-Clinical Aspects of Medicine & Science
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信