Severe Respiratory Syncytial Virus Infection in Preterm Infants and Later Onset of Asthma
Bibliographic record
Abstract
BACKGROUND: Respiratory syncytial virus (RSV) is the leading cause of viral lower respiratory tract infections in infants. Preterm infants are at increased risk for hospitalization with RSV (RSV-H), but there are few data on the relationship between RSV-H and asthma in preterm infants, or any data stratified by gestational age, and most studies have short follow-up periods. We sought to evaluate the relationship between serious RSV illness and onset of asthma up to 5 years of age in a cohort of preterm children and to quantify this association. METHODS: A retrospective birth cohort of preterm infants (29 weeks 0 days to 35 weeks 6 days gestational age) was constructed from a provincial population-based database, and children were followed forward for 5 years. Incidence rates of RSV-H and asthma were determined. In a Cox proportional hazards model, controlled for putative confounding factors for asthma, the hazard ratio and 95% CI of asthma in children with and without RSV-H was evaluated. RESULTS: Among 3916 premature children, the incidence rate of RSV-H was 25/1000 infants. The cumulative incidence rate of asthma at 5 years of age in children with RSV-H was 57.9/1000 person-years compared with 36.7 in those without RSV-H; the adjusted hazards ratio for asthma in RSV-H infants was elevated at 1.58 (95% CI: 1.03-2.41). CONCLUSIONS: In prematurely born children, there is a moderate association between severe RSV infection, as measured by RSV-H in the first year of life, and asthma up to 5 years of age.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".