Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Sleep Apnea Syndrome in Children

A Retrospective Study of 419 Cases and Polysomnographic Findings with Implications for Rapid Treatment

Bibliographic Data

ID15715133
AuthorsLechosław P Chmielik (0000-0002-1419-9263, Uniwersytecki Szpital Dziecięcy, corresponding author), Anna Kasprzyk (0000-0001-6804-3611, Uniwersytecki Szpital Dziecięcy), Zuzanna Sala (0000-0002-9083-6148, Uniwersytecki Szpital Dziecięcy), Tadeusz Chmielik (0009-0001-4914-6284, Warsaw University of Technology), Grzegorz Jacek Hatliński (Department of Pediatric ENT, The Children’s Hospital in Dziekanow Lesny, 05-092 Dziekanów Leśny, Poland), Grażyna Mielnik–Niedzielska (0000-0002-0818-9771, Medical University of Lublin), Grażyna Mielnik-Niedzielska (Medical University of Lublin), Artur Niedzielski (0000-0001-9062-0403, Uniwersytecki Szpital Dziecięcy)
Year2025
Volume12
Issue2
Pages222-222
Publication date2025-02-12
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children12020222
PMID40003324
OpenAlexW4407409720
LanguageEN
References cited30

Sleep-related disorders are responsible for many serious health conditions, one of these being sleep apnea syndrome, which arises through various mechanisms. Polysomnography is currently used as the gold standard method for diagnosing patients suffering from sleep breathing disorders, thus enabling accurate and swift clinical diagnosis. Background/Objectives: By using the parameters obtained from polysomnography, this retrospective study has aimed to determine the groups of children that are particularly vulnerable to severe forms of breathing disorders, divided according to diagnoses made of tonsillar hypertrophy forms and sleep apnea as well as by the severity grades and types of apnea, to facilitate rapid and appropriate treatment. Methods: The subjects were 419 children (from 2017 to 2024) who had been initially diagnosed with sleep apnea syndrome (36.99% girls and 63.01% boys), upon whom various parameters of polysomnography examinations were retrospectively evaluated. The subjects were broken down into groups according to three diagnoses and the types and severities of apnea. The following statistical analyses were used: Kruskal-Wallis tests, post-hoc testing and correlation. Results: Tonsillar hyperplasia was found in 334/419 subjects. The total apnea incidence was highest in the total mild severity grouping (53.33%), while the highest total apnea incidence in the apnea type grouping was found in the central apnea grouping at 31.74%, of which the highest sub-group incidence of apnea was found in those with the mild form (25.54%). The highest incidence of apnea was found in its mild form in subjects with pharyngeal and palatine tonsil hypertrophy (19.57%). The highest apnea incidence for those initially diagnosed with sleep apnea was 10.74% for the central apnea type. Children with hypertrophy of the pharyngeal tonsil and palatine tonsils had the more severe form of apnea than in the other cases in terms of AHI. Apnea severity, AHI, ODI and BS below 89% were highest/longest in the peripheral apnea type, whereas the REM sleep time %-age was lowest in this type. Strong positive correlations were found between AHI with ODI and sleep time below 89%, whereas strong negative correlations were found between AHI with average and minimum saturation variables. Conclusions: Polysomnography findings of especially mild or severe sleep apnea in children with tonsillar hyperplasia should indicate that surgical treatment is needed as soon as possible

Anesthesia · Apnea · Obstructive sleep apnea · Retrospective cohort study · Sleep (system call · Sleep apnea · Computer Science · Medicine · Neuroscience of respiration and sleep · Obstructive Sleep Apnea Research · Sleep and Wakefulness Research · Internal Medicine · Pediatrics

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae