Clinical characteristics of infants identified with a conductive hearing loss through universal newborn hearing screening: A population-based sample.
Conductive hearing loss
Infants
Newborn hearing screening
Otitis media
Prevalence
Journal
International journal of pediatric otorhinolaryngology
ISSN: 1872-8464
Titre abrégé: Int J Pediatr Otorhinolaryngol
Pays: Ireland
ID NLM: 8003603
Informations de publication
Date de publication:
Oct 2022
Oct 2022
Historique:
received:
27
02
2022
revised:
31
05
2022
accepted:
31
07
2022
pubmed:
15
8
2022
medline:
15
9
2022
entrez:
14
8
2022
Statut:
ppublish
Résumé
Universal Newborn Hearing Screening (UNHS) aims to identify infants born with a permanent hearing loss. However, many are also diagnosed with a conductive hearing loss (CHL) and are at subsequent risk for developmental delays. The aim of this study was to investigate the prevalence of CHL and determine which clinical characteristics collected at birth, predict CHL within UNHS. Retrospective analysis was conducted on all infants born between January 01, 2007 and December 31, 2018. During this period, 731,234 infants were screened, 9802 were direct referrals, and 1208 identified with a CHL. Chi squared analysis and logistic regression was conducted to determine CHL prevalence and identify which clinical characteristics predict CHL. The prevalence of CHL was 12.32%. Following adjustments for collinearity, clinical characteristics that could predict CHL were: bilateral referrals/medical exclusions to screen (Odds ratio, OR 1.89; 95% CI: 1.65-2.1), ≥1 risk factor for hearing loss (OR 2.03; 95% CI: 1.76-2.34), pre-term birth (OR 1.82; 95% CI: 1.57-2.10), male (OR 1.21; 95% CI: 1.07-1.37), and Indigenous status: 'Aboriginal (not Torres Strait Islander)' (OR 1.27; 95% CI:1.03-1.57 and 'not stated' (OR 2.95; 95% CI: 2.02-4.30). CHL within UNHS was highly prevalent, with six clinical characteristics that can predict that likelihood of an infant being diagnosed with a CHL. This data could be used to create alternative care pathways for infants with CHL, enabling early and targeted assessments, thereby reducing the risk of developmental delays for these infants.
Sections du résumé
BACKGROUND
BACKGROUND
Universal Newborn Hearing Screening (UNHS) aims to identify infants born with a permanent hearing loss. However, many are also diagnosed with a conductive hearing loss (CHL) and are at subsequent risk for developmental delays. The aim of this study was to investigate the prevalence of CHL and determine which clinical characteristics collected at birth, predict CHL within UNHS.
MATERIALS AND METHODS
METHODS
Retrospective analysis was conducted on all infants born between January 01, 2007 and December 31, 2018. During this period, 731,234 infants were screened, 9802 were direct referrals, and 1208 identified with a CHL. Chi squared analysis and logistic regression was conducted to determine CHL prevalence and identify which clinical characteristics predict CHL.
RESULTS
RESULTS
The prevalence of CHL was 12.32%. Following adjustments for collinearity, clinical characteristics that could predict CHL were: bilateral referrals/medical exclusions to screen (Odds ratio, OR 1.89; 95% CI: 1.65-2.1), ≥1 risk factor for hearing loss (OR 2.03; 95% CI: 1.76-2.34), pre-term birth (OR 1.82; 95% CI: 1.57-2.10), male (OR 1.21; 95% CI: 1.07-1.37), and Indigenous status: 'Aboriginal (not Torres Strait Islander)' (OR 1.27; 95% CI:1.03-1.57 and 'not stated' (OR 2.95; 95% CI: 2.02-4.30).
CONCLUSION
CONCLUSIONS
CHL within UNHS was highly prevalent, with six clinical characteristics that can predict that likelihood of an infant being diagnosed with a CHL. This data could be used to create alternative care pathways for infants with CHL, enabling early and targeted assessments, thereby reducing the risk of developmental delays for these infants.
Identifiants
pubmed: 35964490
pii: S0165-5876(22)00229-4
doi: 10.1016/j.ijporl.2022.111268
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
111268Informations de copyright
Copyright © 2022 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.