Literature DB >> 30719607

Predictors of moderate to severe obstructive sleep apnea: identification of sex differences.

Damien E Earl1, Sushil S Lakhani1, Daniel B Loriaux2, Andrew R Spector3.   

Abstract

PURPOSE: Home sleep apnea tests are recommended only for patients at high risk of moderate to severe obstructive sleep apnea (OSA, apnea-hypopnea index [AHI] ≥ 15/h). We evaluated 14 factors known to be associated with OSA and identified sex differences in predictors of moderate to severe OSA.
METHODS: Retrospective analysis was done on 545 subjects who completed sleep questionnaires and underwent diagnostic polysomnogram at a tertiary sleep center. Univariate and multivariate analysis was conducted separately in males and females to determine which variables were independent predictors of moderate to severe OSA.
RESULTS: Overall, physical traits were stronger predictors in both males and females. For each sex, only 3 variables were found to be independently predictive of moderate to severe OSA. In order of predictive strength, this included body mass index (BMI) ≥ 38 kg/m2 (aOR 5.80, p < 0.001), neck circumference (NC) ≥ 17 in. (aOR 2.52, p = 0.002), and Epworth sleepiness scale (ESS) ≥ 13 (aOR 2.22, p = 0.015) for males and age ≥ 50 years (aOR 4.19, p < 0.001), NC ≥ 14.5 in. (aOR 3.13, p = 0.003), and report of morning headaches (aOR 2.00, p = 0.039) for females. Applying the Bonferroni correction, BMI and NC remained significant for males, and age and NC remained significant for females.
CONCLUSIONS: In a subject population referred for sleep evaluation at a tertiary care center only a few variables are independently predictive of moderate to severe OSA, and these variables differed between males and females. Only BMI, NC, and a high ESS were independently predictive of moderate to severe OSA in males, whereas age, NC, and morning headaches were independently predictive in females.

Entities:  

Keywords:  Body mass index; Neck circumference; Obstructive sleep apnea; Predictors; Sex; Symptoms

Year:  2019        PMID: 30719607     DOI: 10.1007/s11325-019-01790-x

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


  24 in total

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2.  Predicting sleep apnea and excessive day sleepiness in the severely obese: indicators for polysomnography.

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3.  Assessing the likelihood of obstructive sleep apnea: a comparison of nine screening questionnaires.

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5.  Prediction of obstructive sleep apnea in patients presenting to a tertiary care center.

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9.  Simplifying the Screening of Obstructive Sleep Apnea With a 2-Item Model, No-Apnea: A Cross-Sectional Study.

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Journal:  J Bras Pneumol       Date:  2015 Sep-Oct       Impact factor: 2.624

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4.  Gender and Polysomnographic Profiles Findings in Obstructive Sleep Apnea Syndrome Patients Living in High Altitude.

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5.  Prevalence and factors correlated with hypertension secondary from obstructive sleep apnea.

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  5 in total

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