Respiratory Syncytial Virus in Otherwise Healthy Prematurely Born Infants: A Forgotten Majority
Bibliographic record
Abstract
Healthy, premature infants ≤35 weeks' gestational age (wGA) are universally recognized to be at an increased risk of perinatal morbidity and mortality. Serious respiratory syncytial virus (RSV) lower respiratory tract infection imposes an additional burden of illness on these infants following hospitalization. Incurred morbidities relative to term infants include longer lengths of hospital stay, admission to intensive care, and need for oxygen and mechanical ventilation, all of which are associated with increased hospital costs. The highest morbidities are experienced by premature infants who are youngest (<3 months' chronological age) and are of lower gestational age. Short- and long-term follow-up indicates that healthy preterm infants both of lower gestational age and who are late preterm have obstructive lung function at baseline, which is further compromised by RSV-related infection during infancy. There is increasing evidence that childhood exposure to an episode of RSV infection may set the stage for an abnormal respiratory function trajectory, which, in adulthood, leads to chronic obstructive pulmonary disease. Healthy premature infants <32 wGA merit RSV prophylaxis based on existing data, whereas moderate- and high-risk preterm infants 32 to 35 wGA should be selectively and cost-effectively targeted for prophylaxis using validated risk scoring tools and country-specific thresholds for funding.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".