Respiratory polygraphy in children: Feasibility in everyday practice in an ENT department and value of automatic detection of respiratory events.
Automatic detection of respiratory events
Device acceptance
Pediatric obstructive sleep apnea-hypopnea syndrome
Pediatric respiratory polygraphy
Signal quality
Journal
European annals of otorhinolaryngology, head and neck diseases
ISSN: 1879-730X
Titre abrégé: Eur Ann Otorhinolaryngol Head Neck Dis
Pays: France
ID NLM: 101531465
Informations de publication
Date de publication:
Sep 2019
Sep 2019
Historique:
pubmed:
19
3
2019
medline:
10
3
2020
entrez:
19
3
2019
Statut:
ppublish
Résumé
Using respiratory polygraphy (RP) in children for diagnosis of obstructive sleep apnea/hypopnea syndrome (OSAHS) can be challenging in terms of device acceptance and sensor displacement. Automatic analysis of respiratory events has never been evaluated in a pediatric population. The primary objective of this study was to determine the feasibility of pediatric RP in routine ENT department practice. The secondary objective was to evaluate the reliability of the automatic detection of obstructive and central respiratory events in children. A single-center retrospective study included 50 children (32 boys, 18 girls; mean age 5.5±2.3years) undergoing overnight RP in an ENT department between January and August 2016 for suspected OSAHS. Manual detection of respiratory events was performed by one ENT specialist experienced in RP interpretation, and compared to automatic analysis. The device was well accepted in 98% of cases. Overall signal quality was>50% in 76% of cases, with average signal quality of 70.8% (86% in patients>3 yrs, 25% in patients<3 yrs, P=0.0013). There was no significant correlation between manual and automatic analyses, except for central apnea (Spearman coefficient 0.43; P=0.0015). One hundred percent of patients presented OSAHS according to automatic detection, compared to 32% according to manual detection (P<0.005). Pediatric RP is feasible in routine practice in an ENT department, with good acceptance and satisfactory signal quality in children older than 3years. Automatic analysis of respiratory events in children is unreliable, except for central apnea.
Identifiants
pubmed: 30880036
pii: S1879-7296(19)30044-4
doi: 10.1016/j.anorl.2019.03.001
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
235-240Informations de copyright
Copyright © 2019 Elsevier Masson SAS. All rights reserved.