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Published on: June 5, 2019
Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability
Adrián Martín-Montero1, Pablo Armañac-Julián2, Eduardo Gil2
1Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Valladolid, Spain.
Insights
This study reveals that analyzing heart rate variability (HRV) with sleep stages and apneic events improves obstructive sleep apnea (OSA) characterization in children. Novel HRV parameters offer optimal differentiation, aiding diagnosis.
Area of Science:
- Pediatric Cardiology
- Sleep Medicine
- Biomedical Signal Processing
Background:
- Heart rate variability (HRV) is influenced by sleep stages and apneic events.
- Previous research on pediatric obstructive sleep apnea (OSA) has not fully integrated sleep stages and apneic events for HRV analysis.
- Novel HRV parameters specific to pediatric OSA require evaluation.
Purpose of the Study:
- To characterize and compare classic and novel pediatric OSA-specific HRV parameters.
- To incorporate both sleep stages and apneic event frequency in HRV analysis.
- To assess the clinical utility of segment-based HRV characterization for OSA diagnosis.
Main Methods:
- Utilized 1610 electrocardiograms from the Childhood Adenotonsillectomy Trial (CHAT) database.
- Segmented data into 10-min intervals, categorizing by sleep stage (wake, NREMS, REMS) and apneic event frequency.
- Extracted and analyzed classic and pediatric OSA-specific HRV parameters, including novel frequency bands BW2 and BWRes.
Main Results:
- Non-rapid eye movement sleep (NREMS) showed significant HRV changes with increased apneic events, less pronounced in REM sleep.
- The pediatric OSA-specific frequency band BW2 optimally differentiated segments in both NREMS and REMS.
- BWRes band effectively distinguished sleep stages in the absence of apneic events.
- Ensemble-learning models confirmed the clinical utility for estimating apnea-hypopnea index and classifying sleep stages.
Conclusions:
- Incorporating sleep stages and apneic events is crucial for comprehensive HRV evaluation in pediatric OSA.
- Basal sympathetic activity during REM sleep may obscure OSA-induced sympathetic changes.
- Novel HRV parameters and segment-based analysis enhance diagnostic capabilities for pediatric OSA.
Abstract:
Heart rate variability (HRV) is modulated by sleep stages and apneic events. Previous studies in children compared classical HRV parameters during sleep stages between obstructive sleep apnea (OSA) and controls. However, HRV-based characterization incorporating both sleep stages and apneic events has not been conducted. Furthermore, recently proposed novel HRV OSA-specific parameters have not been evaluated. Therefore, the aim of this study was to characterize and compare classic and pediatric OSA-specific HRV parameters while including both sleep stages and apneic events. A total of 1610 electrocardiograms from the Childhood Adenotonsillectomy Trial (CHAT) database were split into 10-min segments to extract HRV parameters. Segments were characterized and grouped by sleep stage (wake, W; non-rapid eye movement, NREMS; and REMS) and presence of apneic events (under 1 apneic event per segment, e/s; 1-5 e/s; 5-10 e/s; and over 10 e/s). NREMS showed significant changes in HRV parameters as apneic event frequency increased, which were less marked in REMS. In both NREMS and REMS, power in BW2, a pediatric OSA-specific frequency domain, allowed for the optimal differentiation among segments. Moreover, in the absence of apneic events, another defined band, BWRes, resulted in best differentiation between sleep stages. The clinical usefulness of segment-based HRV characterization was then confirmed by two ensemble-learning models aimed at estimating apnea-hypopnea index and classifying sleep stages, respectively. We surmise that basal sympathetic activity during REMS may mask apneic events-induced sympathetic excitation, thus highlighting the importance of incorporating sleep stages as well as apneic events when evaluating HRV in pediatric OSA.
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