Association of Cytomegalovirus Infection in Preterm Infants and Neonatal Outcomes: A Matched Cohort Study
Bibliographic record
Abstract
Abstract This study aimed to explore the association of cytomegalovirus (CMV) infection in preterm infants of ≤32 weeks' gestation and neonatal morbidities. This was a matched cohort study of preterm infants born between 22 and 32 weeks gestation age and <1,500 g in birth weight who were admitted to participating tertiary NICUs within the Canadian Neonatal Network between April 2009 and December 2018. Infants were randomly matched in a 1:4 ratio (73 CMV-positive to 292 CMV-nonpositive infants) based on gestational age (in weeks), sex, birth weight (± 50 g), and number of days of oxygen exposure within the first 28 days after birth (± 2 days). Neonatal morbidities were compared between the two groups using conditional logistic regression after adjustment of unmatched confounders. The CMV-positive infants were of lower median birth weight compared to CMV-nonpositive infants (722 vs. 743 g; p < 0.05). The duration of noninvasive respiratory support (59 vs. 43 days; p < 0.05), invasive respiratory support (35 vs. 24 days; p < 0.05), oxygen therapy (115 vs. 67 days; p < 0.05), and odds of bronchopulmonary dysplasia (BPD; 90% vs. 71%; adjusted odds ratio: 3.52 [1.54, 8.07]) were higher for CMV-positive infants compared to CMV-nonpositive infants. Other morbidities were not statistically significantly different. CMV infection in very preterm infants was associated with increased duration of oxygen and respiratory support and increased odds of BPD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".