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Estimating the prevalence of sleep-disordered breathing in community-based, long-term stroke survivors using a validated predictive model.

AbstractBACKGROUND:
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 >or=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 (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.
CONCLUSION:
The MAPI can be reliably used in stroke cohorts and SDB affects about half of chronic stroke survivors.
AuthorsDora C Pearce, Dominique A Cadilhac, Robert J Pierce, Amanda G Thrift, Stephen David, Geoffrey A Donnan, SCOPES II Study Group
JournalCerebrovascular diseases (Basel, Switzerland) (Cerebrovasc Dis) Vol. 26 Issue 4 Pg. 441-6 ( 2008) ISSN: 1421-9786 [Electronic] Switzerland
PMID18799876 (Publication Type: Journal Article, Validation Study)
CopyrightCopyright 2008 S. Karger AG, Basel.
Topics
  • Aged
  • Aged, 80 and over
  • Chronic Disease
  • Female
  • Follow-Up Studies
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Polysomnography
  • Predictive Value of Tests
  • Prevalence
  • Risk Factors
  • Sleep Apnea Syndromes (diagnosis, epidemiology)
  • Stroke (epidemiology)

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