Estimating the prevalence of sleep-disordered breathing in community-based, long-term stroke survivors using a validated predictive model.
BACKGROUND
Assessing sleep-disordered breathing (SDB) in aged or disabled populations is difficult.


OBJECTIVE
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.


CONCLUSIONS
The MAPI can be reliably used in stroke cohorts and SDB affects about half of chronic stroke survivors.
Pearce
Dora C
DC
National Stroke Research Institute, Bowen Centre, Austin Health, Heidelberg Heights, Victoria, Australia. dpearce@nsri.org.au
Cadilhac
Dominique A
DA
Pierce
Robert J
RJ
Thrift
Amanda G
AG
David
Stephen
S
Donnan
Geoffrey A
GA
D000368:Aged; D000369:Aged, 80 and over; D002908:Chronic Disease; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017286:Polysomnography; D011237:Predictive Value of Tests; D015995:Prevalence; D012307:Risk Factors; D012891:Sleep Apnea Syndromes / Q000175:diagnosis / Q000453:epidemiology*; D020521:Stroke / Q000453:epidemiology*