Ten-Year Trends in Sleep-Disordered Breathing After Ischemic Stroke: 2010 to 2019 Data From the BASIC Project.
Sonja G SchützLynda D LisabethRiver GibbsShi XuRonald D ChervinMadeline KwicklisErin CaseWilliam J MeurerPublished in: Journal of the American Heart Association (2022)
Background Despite good evidence that the prevalence of sleep-disordered breathing (SDB) is increasing in the general population, no data are available about trends in poststroke SDB. We therefore sought to assess changes in poststroke SDB over a 10-year period (2010-2019). Methods and Results Participants in the BASIC (Brain Attack Surveillance in Corpus Christi) project were offered a home sleep apnea test to assess for SDB after stroke. SDB assessment procedures remained unchanged throughout the study period. Respiratory event index was calculated as the sum of apneas and hypopneas per hour of recording. SDB was defined as respiratory event index ≥10/h for optimal sensitivity and specificity of the home sleep apnea test device compared with in-laboratory polysomnography. Regression models were used to test associations between SDB prevalence and severity and time, with adjustment for multiple potential confounders. Among the 1215 participants who completed objective sleep apnea testing, the prevalence of SDB grew from 61% in the first year of the study to 76% in the last, with 1.1 times higher odds each year (95% CI, 1.07-1.19), after adjustment. A linear association was identified between time and respiratory event index (average annual respiratory event index increase of 0.56/h; 95% CI, 0.20/h-0.91/h), after adjustment. There was no difference in time trends by sex or ethnicity. Conclusions The prevalence and severity of SDB after ischemic stroke has increased over the past 10 years in this population-based cohort. These data highlight the need to determine whether SDB treatment improves stroke outcomes.
Keyphrases
- sleep apnea
- positive airway pressure
- obstructive sleep apnea
- risk factors
- atrial fibrillation
- electronic health record
- healthcare
- big data
- respiratory tract
- white matter
- multiple sclerosis
- metabolic syndrome
- insulin resistance
- skeletal muscle
- data analysis
- brain injury
- artificial intelligence
- upper limb
- replacement therapy
- combination therapy
- functional connectivity