Identifying Clinical Criteria for an Expanded Targeted Approach to Screening for Congenital Cytomegalovirus Infection—A Retrospective Study
Bibliographic record
Abstract
Targeted screening for congenital CMV infection (cCMV), which entails CMV testing of infants who fail newborn hearing screening (NBHS), has become common practice. However, this strategy misses nearly all infected infants with normal hearing at birth who are nonetheless at high risk of subsequent hearing loss and would benefit from timely cCMV diagnosis. The objective of this study was to identify expanded criteria predictive of cCMV to increase the scope and utility of targeted newborn CMV screening. In this retrospective study, 465 newborns were tested for cCMV at a single tertiary care center with a targeted screening program between 2014 and 2018. Twenty-two infants were diagnosed with cCMV, representing 0.2% of the 12,189 births over this period and 4.7% of the infants tested. The highest prevalence of cCMV infection was among infants tested because of primary maternal CMV infection (8/42, 19%), followed by failed initial NBHS (10/88, 11.4%), maternal HIV infection (3/137, 2.2%), and clinical suspicion alone (5/232, 2.2%). The symptoms with the highest prevalence of infection among all infants tested included an enlarged liver and/or spleen (33.3%) (3/9), followed by petechiae (33.3%), microcephaly (9.4%), direct hyperbilirubinemia (7.7%), thrombocytopenia (6%), and growth impairment (4.3%). In addition to CMV screening of newborns who fail the NBHS, these data suggest that certain clinical signs of cCMV-in particular: thrombocytopenia, growth impairment, and HIV exposure in pregnancy-should be additional criteria for expanded targeted newborn CMV screening, where universal screening is not yet the standard of care.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".