Beyond hearing loss: exploring neurological and neurodevelopmental sequelae in asymptomatic congenital cytomegalovirus infection
Bibliographic record
Abstract
Congenital cytomegalovirus (cCMV) infection is common, and usually clinically inapparent. The prevalence of infection is approximately 1:200 births, but only 10-15% of infants have clinically apparent CMV disease (CACMV) as newborns. The most common long-term disability is sensorineural hearing loss (SNHL), which occurs in 10-15% of all cases. Infants with CACMV are also at increased risk for intellectual disability, cerebral palsy, learning disabilities, ocular and cortical blindness, seizure disorders, developmental delay, and autism spectrum disorders. Although infants with clinically inapparent cCMV (CICMV) are at risk for SNHL, the spectrum of other adverse neurodevelopmental outcomes is less clear, since few studies have tracked neurodevelopment in this setting. With the advent of universal cCMV screening, most cCMV infections will now be identified in infants with CICMV. These infants require serial audiologic monitoring, but many questions are unanswered, including what kinds of diagnostic evaluations are required; what kinds of central nervous system (CNS) imaging studies are recommended; what the utility and value of developmental assessments is; and whether there are biomarkers that can inform the long-term prognosis and direct anticipatory guidance in monitoring for neurologic and neurodevelopmental adverse outcomes. IMPACT: Universal newborn screening for congenital CMV (cCMV) infection has been implemented in many US states and Canadian provinces. Most infants identified by universal screening have CICMV infections. All require audiologic monitoring, but there is minimal experience to direct other evaluations, including laboratory tests, brain imaging and neurodevelopmental assessments. Adverse neurodevelopmental outcomes in CICMV may be more extensive than previously appreciated. Research is needed to define the full range of potential neurocognitive disability. New knowledge generated by studying CICMV infections may aid in reclassification of the scope of disease in an emerging era of universal cCMV screening.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".