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Outcomes of a Population-Based Congenital Cytomegalovirus Screening Program

2025· letter· en· W4406666567 on OpenAlexaffabout
Jessica Dunn, Pranesh Chakraborty, Emily Reuvers, Lauren Gallagher, Kristin D. Kernohan, Melanie Lacaria, Michelle Barton, Kirk Leifso, Jeffrey M. Pernica, Emeril Santander, Marie Pigeon, Sharon L. Cushing, Johnna MacCormick, Soren Gantt, Stacey Weber, Ari Bitnun, Jason Brophy

Bibliographic record

VenueJAMA Pediatrics · 2025
Typeletter
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsMinistry of Children, Community and Social ServicesCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalHospital for Sick ChildrenMcMaster UniversityQueen's UniversityUniversity of TorontoWestern UniversityUniversity of OttawaAlberta Children's HospitalUniversity of CalgaryChildren's Hospital of Eastern OntarioSickKids FoundationNewborn Screening Ontario
Fundersnot available
KeywordsMedicineAsymptomaticNewborn screeningPopulationPediatricsHearing lossValganciclovirCytomegalovirusSensorineural hearing lossSurgeryCytomegalovirus infectionAudiologyViral diseaseImmunologyHuman cytomegalovirusHerpesviridaeVirus

Abstract

fetched live from OpenAlex

Importance: Detection of congenital cytomegalovirus (cCMV) infection has previously relied on targeted screening programs or clinical recognition; however, these approaches miss most cCMV-infected newborns and fail to identify those infants who are asymptomatic at birth but at risk for late-onset sensorineural hearing loss. Objective: To determine the feasibility of using routinely collected newborn dried blood spots (DBS) in a population-based cCMV screen to identify infants at risk for hearing loss and describe outcomes of infants screened. Design, Setting, and Participants: This diagnostic study of a population-based screening program in Ontario, Canada, took place from July 29, 2019, to July 31, 2023. All newborns with a DBS sample collected as part of routine care were screened using polymerase chain reaction (PCR) analysis for cCMV as a risk factor for hearing loss. Infants with positive DBS PCR results for cCMV were referred for confirmation of infection by urine PCR (the gold standard), as well as complete medical and audiologic assessments for sequelae of cCMV infection. Infants with possible or confirmed symptomatic cCMV were referred to pediatric infectious disease specialists for evaluation for potential treatment with valganciclovir. Exposure: Detection of cCMV by polymerase chain reaction assay on a newborn DBS. Main Outcomes and Measures: Number of infants with positive screening results successfully retrieved and confirmed to have cCMV and the timeliness of retrieval and symptomatic evaluation. Results: Of 565 987 infants born in the screening period, 551 034 (97.4%) received cCMV screening on the DBS (45.7% female, 54.3% male). Of these infants, 689 (0.13%) screened positive for cCMV; 601 (87.2%) had cCMV infection confirmed and a complete assessment of sequelae of their congenital infection. Ninety-six infants with completed assessments (16.0%) were deemed to have cCMV symptoms, and 63 of these (65.6%) began valganciclovir treatment. Sensorineural hearing loss was confirmed in 34 of 96 infants (35.4%). Conclusions and Relevance: This program found acceptable and feasible implementation of a population-based screening program using routinely collected DBS samples, suggesting that it may serve as a template for jurisdictions considering universal cCMV screening. The program had a much lower than expected prevalence of cCMV-positive screens but still identified many children who would otherwise not have been diagnosed and who would benefit from ongoing audiologic surveillance.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.332
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations28
Published2025
Admission routes2
Has abstractyes

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