Evidence map›Paper›PMID 41069841›Full record

ArticleJournal of otology2025

Perinatal risk factors and preliminary prediction of conductive hearing loss in infancy.

Jiao Zhang, Minghui Zhao, Wei Shi, Haina Ding, Lan Lan, Yun Gao, Dayong Wang, Qiuju Wang

Abstract read
In one paragraph

Article in Journal of otology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jiao ZhangDepartment of Audiology and Vestibular Medicine, Senior Department of Otolaryngology, Head and Neck Surgery, the sixth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Minghui ZhaoDepartment of Audiology and Vestibular Medicine, Senior Department of Otolaryngology, Head and Neck Surgery, the sixth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Wei ShiDepartment of Audiology and Vestibular Medicine, Senior Department of Otolaryngology, Head and Neck Surgery, the sixth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Haina DingDepartment of Audiology and Vestibular Medicine, Senior Department of Otolaryngology, Head and Neck Surgery, the sixth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Lan LanDepartment of Audiology and Vestibular Medicine, Senior Department of Otolaryngology, Head and Neck Surgery, the sixth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Yun GaoDepartment of Audiology and Vestibular Medicine, Senior Department of Otolaryngology, Head and Neck Surgery, the sixth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Dayong WangDepartment of Audiology and Vestibular Medicine, Senior Department of Otolaryngology, Head and Neck Surgery, the sixth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Qiuju WangDepartment of Audiology and Vestibular Medicine, Senior Department of Otolaryngology, Head and Neck Surgery, the sixth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the perinatal risk factors for conductive hearing loss (CHL) in infancy and develop an initial prediction model to facilitate accurate diagnosis and early detection of CHL. Method: This retrospective study utilized data from the Newborn Cohort Study of Hearing Loss (ChiCTR2100049765). Infants who underwent diagnostic audiological assessments at our hospital between January 2003 and June 2024 were included. Data analysis was conducted using R (version 4.4.1) to construct an initial prediction model for CHL in infancy, applying the LASSO regression technique. Results: A total of 661 infants (1322 ears) were included, with 1253 ears in the normal hearing group and 69 ears in the CHL group. Statistically significant differences were observed between the groups in the following factors: parent-reported infant response to sound, craniofacial deformities, neonatal hemolysis, jaundice treatment, and neonatal hypoglycemia. A multivariate prediction model and nomogram for CHL in infancy were developed and validated, achieving an accuracy of 92.5% and a specificity of 91.3%. Conclusions: This study identified key risk factors for CHL in infancy and developed a preliminary predictive model, improving the diagnostic accuracy for CHL. Improved diagnostic precision can decrease misdiagnoses, reduce delays in treatment, and limit unnecessary antimicrobial prescriptions for infants.

Indexed as

conductive hearing lossinfantperinatalpredictionrisk factors

Identifiers

PMID41069841
PMCPMC12510354

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.