1. Predicting the impact of CPAP on brain health: A study using the sleep EEG‐derived brain age index
- Author
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Soonhyun Yook, Hea Ree Park, Eun Yeon Joo, and Hosung Kim
- Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Objective This longitudinal study investigated potential positive impact of CPAP treatment on brain health in individuals with obstructive sleep Apnea (OSA). To allow this, we aimed to employ sleep electroencephalogram (EEG)‐derived brain age index (BAI) to quantify CPAP's impact on brain health and identify individually varying CPAP effects on brain aging using machine learning approaches. Methods We retrospectively analyzed CPAP‐treated (n = 98) and untreated OSA patients (n = 88) with a minimum 12‐month follow‐up of polysomnography. BAI was calculated by subtracting chronological age from the predicted brain age. To investigate BAI changes before and after CPAP treatment, we compared annual ΔBAI between CPAP‐treated and untreated OSA patients. To identify individually varying CPAP effectiveness and factors influencing CPAP effectiveness, machine learning approaches were employed to predict which patient displayed positive outcomes (negative annual ΔBAI) based on their baseline clinical features. Results CPAP‐treated group showed lower annual ΔBAI than untreated (−0.6 ± 2.7 vs. 0.3 ± 2.6 years, p
- Published
- 2024
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