Journal article
Estimating the prevalence of sleep-disordered breathing in community-based, long-term stroke survivors using a validated predictive model
DC Pearce, DA Cadilhac, RJ Pierce, AG Thrift, S David, GA Donnan
Cerebrovascular Diseases | KARGER | Published : 2008
DOI: 10.1159/000155641
Abstract
Background: Assessing sleep-disordered breathing (SDB) in aged or disabled populations is difficult. Aims: To validate a multivariable apnea risk prediction index (MAPI) in stroke survivors and estimate SDB prevalence (apnea-hypopnea index ≥10) in a community-based stroke cohort. Methods: 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. Results: NEMESIS subjects (med..
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Funding Acknowledgements
The authors would like to thank Rachel Thorpe and the SCOPES II Research team for their contributions as research officers. The contributions of staff from the Institute of Breathing and Sleep are acknowledged, in particular Peter Rochford and Natalie Tarquinio for the analysis of sleep studies, and Mark Howard for providing advice on validation of the MAPI. The contributions of the NEMESIS Research Nurses are acknowledged for the collection of NEMESIS data for this study. Finally, we would like to thank ResMed Ltd. for providing an educational grant, equipment and technical support regarding the Embletta device to undertake this research.