0551 Predicting Daytime Alertness Impairment in Obstructive Sleep Apnea

Autor: Ali Warda, Victoria Mariah Lennox, Tu Nguyen, Shanta Ghosh, Sanjib Basu, Magdy Younes, David W Carley, Bharati Prasad, Bethany Gerardy
Rok vydání: 2023
Předmět:
Zdroj: SLEEP. 46:A243-A243
ISSN: 1550-9109
0161-8105
DOI: 10.1093/sleep/zsad077.0551
Popis: Introduction Obstructive sleep apnea (OSA) reduces daytime alertness leading to social and occupational impairment. The Maintenance of Wakefulness Test (MWT), a gold-standard test for daytime alertness, is time-consuming and not routinely available in clinical practice. We examined EEG-based and clinical parameters derived from diagnostic polysomnography (PSG) as predictors of alertness impairment in adults with OSA. Methods Eighty-two participants with untreated OSA on diagnostic PSG (apnea hypopnea index, AHI ≥5/hour), enrolled in a two-center clinical trial were included. The day following PSG, each participant completed four 40-minute MWT and four 10-minute Psychomotor Vigilance Tests (PVT). The outcomes were MWT mean sleep latency (MSL) and PVT lapses (reaction time ≥500 milliseconds, square root transformed). Three multiple linear regression models were used: 1. “standard predictors” (total sleep time, TST, percent REM and slow wave sleep, AHI, time < 90% oxygen saturation, and arousal index), 2. “novel predictors” derived by spectral analysis and averaged across right and left central EEG (normalized EEG power, odds ratio product; ORP parameters, and spindle characteristics), and 3. combined standard and novel predictors. Age, sex, and body mass index (BMI) were included in each model, and backward elimination (step AIC) was used for models 2 and 3. Results Participants were middle-aged (mean ± standard deviation, SD 53.5±8.7 years), with moderate OSA (AHI 33.8±18.2) and daytime sleepiness (Epworth Sleepiness Scale 11.7±3.9), and 86% were men. The adjusted r2 for MSL were: model 1=0.09, model 2=0.16, and model 3=0.27, and PVT lapses were: model 1=0.09, model 2=0.31, and model 3=0.34. For MSL, the significant predictors in model 3 included TST (t-statistic -3.59, p=0.0007), REM% (2.51, p=0.01), ORP-9 (2.95, p=0.004), ORP NREM (-3.15, p=0.002), spindle frequency (-2.95, p=0.004), and normalized EEG power (-2.59, p=0.01). For PVT lapses, model 3 predictors included 2.25-2.5 ORP% (-2.91, p=0.005), normalized EEG power (3.22, p=0.002), spindle power (-4.30, p< 0.0001), spindle frequency (2.83, p=0.006), and sex (men vs. women, -2.56, p=0.01). Conclusion We have identified several novel PSG EEG-based predictors of impaired daytime alertness in OSA that will improve occupational evaluation and prognostication in OSA after future validation. Support (if any) National Institutes of Health, UM1-HL112856, UL1TR001422, and UL1TR002003.
Databáze: OpenAIRE
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