Abstract P597: Growing Prevalence of Post-Stroke Sleep-Disordered Breathing

Introduction: Sleep-disordered breathing (SDB) is common after stroke and is associated with poor functional and cognitive outcomes, and recurrent stroke. Despite increasing prevalence of SDB in the general population, no data are available about trends in post-stroke SDB. We therefore sought to assess changes in post-stroke SDB prevalence over a 10-year period. Methods: Within the Brain Attack Surveillance In Corpus Christi (BASIC) project, a population-based stroke surveillance study in south Texas, participants with acute ischemic stroke were offered assessment of SDB with the ApneaLink Plus device. Medical record abstraction and baseline interviews were conducted and included the Berlin questionnaire to assess SDB status in reference to the prestroke state. SDB testing was performed shortly after stroke presentation (median 12 days (IQR: (6, 21)). Respiratory event index (REI) was calculated as the sum of apneas and hypopneas per hour of overnight recording. SDB was defined as an REI ≥10. SDB assessment procedures remained unchanged throughout (2010-2020). Logistic (SDB) and linear (REI) regression were used to test associations with time (parameterized as years since 2010) adjusted for demographics, and stroke and SDB risk factors including BMI and pre-stroke SDB status. Results: Among the 1,197 participants, median age was 65, 53% were male, and 65% were Mexican American. SDB prevalence was 61% in 2010-2011 and 75% in 2018-2019. Median REI was 19 in 2010-2011 and 23 in 2018-2019. A linear association was identified between time and SDB (REI≥10), with an odds ratio of 1.123 (95% CI: 1.062, 1.187) per year, after adjustment. Similarly, a linear association was identified between time and REI, with an average increase of 0.504 (95% CI: 0.148, 0.860) per year, after adjustment. Based on models with interaction terms added, no differences in time trends were found by sex or ethnicity. Conclusions: Post-stroke SDB prevalence in this population-based sample has increased over the last 10 years. These data highlight the importance of post-stroke SDB and the pressing need to determine whether its treatment improves outcomes.