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":"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。","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":"{\"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}","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}
Anthropometric Measures for the Prognosis of Obstructive Sleep Apnea in Obese.
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.
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