2014
DOI: 10.5935/abc.20140172
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Death and Disability in Patients with Sleep Apnea - A Meta-analysis

Abstract: BackgroundSeveral studies have been attempting to ascertain the risks of Sleep Apnea Syndrome (SAS) and its morbidity and mortality.ObjectiveThe main objective was to verify whether SAS increases the risk of death; the secondary objective was to evaluate its morbidity in relation to cardiovascular disease and the number of days hospitalized.MethodsA systematic review and a meta-analysis were performed of the published literature. The research focused on studies comparing the number of deaths in patients with u… Show more

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Cited by 15 publications
(10 citation statements)
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References 31 publications
(55 reference statements)
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“…15,26,27 Third, sleep apnea may have also been under-reported, resulting in lower prevalence and lack of power to enter the final model. 38 However, hypertension might also help to explain the risk of new-onset AF associated with this sleep disturbance. 39 Fourth, some residual confounding may have remained.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…15,26,27 Third, sleep apnea may have also been under-reported, resulting in lower prevalence and lack of power to enter the final model. 38 However, hypertension might also help to explain the risk of new-onset AF associated with this sleep disturbance. 39 Fourth, some residual confounding may have remained.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…[95][96][97] Although CPAP is held to be the most effective treatment, adherence is suboptimal. 98 McGinley et al found that HFNC for OSA alleviated upper airway obstruction in children and that, both in children and adults, HFNC reduced arousals and apneahypopnea index ratings.…”
Section: Sleep Apneamentioning
confidence: 99%
“…Variables associated with an REI ≥ 15 events/h with a value of P > .1 were entered into a binary logistic regression analysis to identify variables independently contributing to variance of REI ≥ 15 events/h. Receiver operator characteristic (ROC) curves were created by plotting sensitivity against 1 − specificity at various REI cutoff points (5,15, and 30 events/h) and to assess the total area under the curve for each questionnaire. Analysis was performed using SPSS version 22 (IBM Corp., Armonk, New York, United States).…”
Section: Discussionmentioning
confidence: 99%