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Record W4413375133 · doi:10.1097/inf.0000000000004960

Prognostic Factors of Late-onset Hearing Loss in Infants With Congenital Cytomegalovirus and Normal Audiologic Assessment at Birth

2025· article· en· W4413375133 on OpenAlexfundno aff
Danilo Buonsenso, Roberto Pedrero‐Tomé, Francesco Raimondi, Serena Salomè, Vassiliki Papaevangelou, Garyfallia Syridou, María Ríos-Barnés, Clàudia Fortuny, Serena Villaverde, Joaquín de Vergas, Fernando Baquero‐Artigao, Paula Rodríguez-Molino, Marie Antoinette Frick, Beatriz Álvarez-Vallejo, Jesús Saavedra‐Lozano, Yves Fougère, Rut Del Valle, Fátima Ara-Montojo, Ina Foulon, Oihana Muga Zuriarrain, Hermione Lyall, Isabel Vives-Oñós, Elena Colino, Olga Tsiatsiou, Elisenda Moliner, Francesca Garofoli, Irene Cuadrado, Daniel Blázquez‐Gamero

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsnot available
FundersEuropean Regional Development FundInstituto de Salud Carlos IIIBarts Health NHS TrustMinisterio de Asuntos Económicos y Transformación Digital, Gobierno de EspañaUniversitas AirlanggaCentre Hospitalier Universitaire VaudoisMinisterio de Ciencia e InnovaciónLeids Universitair Medisch CentrumUniversiteit LeidenUniversitair Ziekenhuis GentUniversity of OxfordImperial College Healthcare NHS TrustImperial College LondonAlexandria UniversityUniversity College LondonAmsterdam University Medical CentersMcMaster University
KeywordsMedicineSensorineural hearing lossHearing lossCytomegalovirusPediatricsGestational ageMicrocephalyAudiologyPregnancyHerpesviridaeViral disease

Abstract

fetched live from OpenAlex

BACKGROUND: Children with congenital cytomegalovirus (cCMV) can develop late-onset sensorineural hearing loss (LO-SNHL). In this study, we aim to assess the characteristics and predictors of LO-SNHL in infants with cCMV having normal hearing at the first neonatal assessment. METHODS: A retrospective study within the European Registry of Children with cCMV ( www.ccmvnet.org ) was performed. Included children had cCMV and a normal first audiological assessment by Auditory Brainstem Response (ABR). Late-onset hearing loss (LO-SNHL) is defined as the presence of sensorineural hearing loss after an initial normal hearing test. Hearing evaluation was performed at birth, at 6 months of age, and at least annually up to 6 years of age. RESULTS: Seven hundred twenty-one children with normal audiological tests at birth were included, and 47/721 (6.5%) developed LO-SNHL. LO-SNHL was diagnosed at a range of 4-65 months of age [median (IQR) age: 34.3 (15.1-48.7) months]. Children with LO-SNHL had a higher proportion of abnormalities on physical examination at birth (45.7% vs. 20.8%; P < 0.001): petechiae (17.4% vs. 6.0%; P = 0.008), splenomegaly (8.7% vs. 2.3%; P = 0.031), hepatomegaly (13% vs. 2.9%; P = 0.001), microcephaly (15.2% vs. 4.5%; P = 0.005) and small for gestational age (21.7% vs. 8.3% P = 0.005). Children with LO-SNHL showed lower platelet count at birth [177500.0 (88750.0-261250.0)/μL vs. 243500.0 (173000.0-304000.0)/μL; P = 0.012], and higher blood viral load at birth [3.7 log (3.3-4.4) vs. 3.4 log (2.7-3.9) IU/mL; P = 0.013] and had more frequent white matter involvement (27.7% vs. 14.7%; P = 0.03) and ventriculomegaly (20.7% vs. 4.6%; P = 0.001) on birth magnetic resonance imaging. Overall, symptomatic children at birth showed a higher risk of developing LO-SNHL than asymptomatic children (32/317, 10.1%, vs. 15/404, 3.7%; P < 0.0001). Among asymptomatic children, only 0.3% developed severe or profound LO-SNHL in the best ear.In multivariate logistic regression analysis, ventriculomegaly [odds ratio (OR): 7.503 (1.78-27.9)], white matter abnormalities [OR: 3.19 (1.010-9.01)], and splenomegaly [OR: 3.679 (1.56-8.506)] at birth were associated with the development of LO-SNHL ( Fig. 1 ). CONCLUSIONS: Among this large cohort of children with cCMV and a first normal audiological assessment, the risk of LO-SNHL was 6.5%. Asymptomatic children developed LO-SNHL in 3.7% of the cases versus 10.1% in symptomatic cases. In multivariate logistic regression analysis, ventriculomegaly, white matter abnormality, and splenomegaly at birth were associated with LO-SNHL.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.294
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2025
Admission routes1
Has abstractyes

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