Hend M. Esmaeel, Hamdy A. Mohammadien, Abd-elbaset Saleh, Fatma Mohamed
{"title":"睡眠图前评估可以预测阻塞性睡眠呼吸暂停,并与其严重程度相关","authors":"Hend M. Esmaeel, Hamdy A. Mohammadien, Abd-elbaset Saleh, Fatma Mohamed","doi":"10.4103/ejb.ejb_19_19","DOIUrl":null,"url":null,"abstract":"Background Obstructive sleep apnea (OSA) is increasingly identified as a disease with major health consequences. The limited availability of the gold standard diagnostic test, polysomnography (PSG), mandates careful clinical evaluation of suspected patients. This can allow better patient selection for referral for confirmatory diagnostic test. Objective The study aimed at identifying the importance of pre-PSG evaluation in prediction of obstructive sleep apnea and its relation to disease severity. Patients and methods A total of 170 patients were included. Detailed demographic characteristics, anthropometric measures, and comorbid conditions were recorded. Correlation to PSG results was done, and multivariate analysis was used to identify predictors of disease. Results OSA was diagnosed in 58.8% of our studied patients. The patients with OSA and notably the severe subgroup were of older age, predominantly male, and current or ex-smoker. Mean BMI was highest in the patients with severe OSA (41.99±8.92) and same for mean neck and waist circumference, both were significantly higher in patients with severe OSA. In multivariate logistic regression analysis, significant predictive factors for OSA were older age, male sex, being nonemployed, having hypertension, and larger tonsillar size. Conclusion Patient demographics, anthropometric characteristics, and presence of comorbid conditions such as hypertension are strong predictors of having OSA and justify referral for diagnostic sleep study.","PeriodicalId":34128,"journal":{"name":"Egyptian Journal of Bronchology","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Prepolysomnography evaluation can predict obstructive sleep apnea and is correlated to its severity\",\"authors\":\"Hend M. Esmaeel, Hamdy A. Mohammadien, Abd-elbaset Saleh, Fatma Mohamed\",\"doi\":\"10.4103/ejb.ejb_19_19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Obstructive sleep apnea (OSA) is increasingly identified as a disease with major health consequences. The limited availability of the gold standard diagnostic test, polysomnography (PSG), mandates careful clinical evaluation of suspected patients. This can allow better patient selection for referral for confirmatory diagnostic test. Objective The study aimed at identifying the importance of pre-PSG evaluation in prediction of obstructive sleep apnea and its relation to disease severity. Patients and methods A total of 170 patients were included. Detailed demographic characteristics, anthropometric measures, and comorbid conditions were recorded. Correlation to PSG results was done, and multivariate analysis was used to identify predictors of disease. Results OSA was diagnosed in 58.8% of our studied patients. The patients with OSA and notably the severe subgroup were of older age, predominantly male, and current or ex-smoker. Mean BMI was highest in the patients with severe OSA (41.99±8.92) and same for mean neck and waist circumference, both were significantly higher in patients with severe OSA. In multivariate logistic regression analysis, significant predictive factors for OSA were older age, male sex, being nonemployed, having hypertension, and larger tonsillar size. Conclusion Patient demographics, anthropometric characteristics, and presence of comorbid conditions such as hypertension are strong predictors of having OSA and justify referral for diagnostic sleep study.\",\"PeriodicalId\":34128,\"journal\":{\"name\":\"Egyptian Journal of Bronchology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Egyptian Journal of Bronchology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/ejb.ejb_19_19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Egyptian Journal of Bronchology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ejb.ejb_19_19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
Prepolysomnography evaluation can predict obstructive sleep apnea and is correlated to its severity
Background Obstructive sleep apnea (OSA) is increasingly identified as a disease with major health consequences. The limited availability of the gold standard diagnostic test, polysomnography (PSG), mandates careful clinical evaluation of suspected patients. This can allow better patient selection for referral for confirmatory diagnostic test. Objective The study aimed at identifying the importance of pre-PSG evaluation in prediction of obstructive sleep apnea and its relation to disease severity. Patients and methods A total of 170 patients were included. Detailed demographic characteristics, anthropometric measures, and comorbid conditions were recorded. Correlation to PSG results was done, and multivariate analysis was used to identify predictors of disease. Results OSA was diagnosed in 58.8% of our studied patients. The patients with OSA and notably the severe subgroup were of older age, predominantly male, and current or ex-smoker. Mean BMI was highest in the patients with severe OSA (41.99±8.92) and same for mean neck and waist circumference, both were significantly higher in patients with severe OSA. In multivariate logistic regression analysis, significant predictive factors for OSA were older age, male sex, being nonemployed, having hypertension, and larger tonsillar size. Conclusion Patient demographics, anthropometric characteristics, and presence of comorbid conditions such as hypertension are strong predictors of having OSA and justify referral for diagnostic sleep study.