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Normal polysomnography parameters in healthy children: a systematic review and meta-analysis
Annelies Van Eyck1,2,3, Genevieve de Caen4,5,6,3, Julia Bokhaut7
1Laboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium annelies.vaneyck@uantwerpen.be.
Insights
This study establishes normative polysomnography values for children, crucial for diagnosing sleep disorders. These findings provide essential reference data for pediatric sleep research and clinical practice.
Area of Science:
- Pediatric Sleep Medicine
- Neuroscience
- Biostatistics
Background:
- Lack of established normative values for polysomnography parameters in children.
- Need for age- and sex-adjusted reference data for accurate pediatric sleep assessment.
Purpose of the Study:
- To conduct a comprehensive meta-analysis of pediatric polysomnography parameters.
- To establish normative values using recent scoring criteria, adjusted for age and sex.
Main Methods:
- Systematic search of Web of Science and Scopus for studies on healthy children.
- Inclusion of studies using American Academy of Sleep Medicine criteria (2007/2012).
- Random-effects meta-analysis and meta-regression to assess age and sex influences.
Main Results:
- Pooled estimates for 34 polysomnography parameters from 66 studies (2947 children).
- Identified age-related decreases in total sleep time, REM sleep, and arousal indices.
- Observed age-related increases in awakenings and oxygen saturation nadir; sleep latency influenced by sex.
Conclusions:
- Provides normative polysomnographic data for the pediatric population.
- Establishes crucial control values for clinical diagnosis and research.
- Facilitates more accurate interpretation of sleep studies in children.
Introduction:
There is a lack of normative values for polysomnographic parameters in childhood. This study presents a comprehensive meta-analysis of paediatric polysomnography parameters scored using recent criteria to establish normative values adjusted for age and sex.
Methodology:
A systematic search was conducted in Web of Science and Scopus for studies that performed overnight polysomnography in healthy children and reported polysomnographic parameters scored using the American Academy of Sleep Medicine criteria (2007 or 2012). Children with previously diagnosed health conditions were excluded. Estimates for sleep, arousals and cardiorespiratory parameters were pooled using a random-effects meta-analysis and the influence of sex and age was assessed using meta-regression.
Results:
Of 3612 articles, 66 studies were eligible, resulting in a sample size of 2947 healthy children. Pooled estimates and 95% confidence intervals for 34 polysomnographic parameters were established. Meta-regression revealed age-related decrease in total sleep time (TST), sleep period time, TST in stage N3 and REM, number of sleep cycles, total arousals, total leg movements, periodic leg movement index, central apnoea index, apnoea-hypopnoea index (AHI), mean peripheral oxygen saturation (S pO2 ), mean heart rate in sleep and REM, while the number of awakenings, TST in stage N2, number of stage shifts, and S pO2 nadir increased with age. Sleep latency was the only parameter influenced by sex (change of -1.27 min per 10% increase in the proportion of males).
Conclusion:
This meta-analysis provides normative polysomnographic data for the paediatric population that can be used as control values in both clinical and research context.
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