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Title: Estimating the prevalence of sleep-disordered breathing in community-based, long-term stroke survivors using a validated predictive model.
Austin Authors: Pearce, Dora C;Cadilhac, Dominique A;Pierce, Robert J;Thrift, Amanda G;David, Stephen;Donnan, Geoffrey A 
Institutional Author: SCOPES II Study Group
Affiliation: National Stroke Research Institute, Bowen Centre, Austin Health, Heidelberg Heights, Victoria, Australia
Issue Date: 18-Sep-2008
Publication information: Cerebrovascular Diseases (basel, Switzerland) 2008; 26(4): 441-6
Abstract: Assessing sleep-disordered breathing (SDB) in aged or disabled populations is difficult.To validate a multivariable apnea risk prediction index (MAPI) in stroke survivors and estimate SDB prevalence (apnea-hypopnea index >or=10) in a community-based stroke cohort.Self-reported sleep apnea symptoms, demographic and anthropometric data were obtained from a hospital-based (SCOPES II, n = 152) and a community-based (NEMESIS, n = 431) cohort at about 3 years after stroke. Logistic regression models for prediction of SDB using the MAPI were validated with home-based nocturnal polygraphic data recordings obtained in 74 SCOPES II participants.NEMESIS subjects (median age 76, females 45%) were older than SCOPES II subjects (median age 70, females 42%). SDB prevalence was 44.9% in the nocturnal polygraphy subset, and estimated as 44.1% (SCOPES II) and 50.6% (NEMESIS) using a modified MAPI.The MAPI can be reliably used in stroke cohorts and SDB affects about half of chronic stroke survivors.
Gov't Doc #: 18799876
DOI: 10.1159/000155641
Journal: Cerebrovascular diseases (Basel, Switzerland)
Type: Journal Article
Subjects: Aged
Aged, 80 and over
Chronic Disease
Follow-Up Studies
Logistic Models
Middle Aged
Predictive Value of Tests
Risk Factors
Sleep Apnea Syndromes.diagnosis.epidemiology
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