Can RSV-Associated Hospitalization in the First Year of Life be Predicted at Birth Among Infants Born at 32-35 Weeks Gestation?
Bibliographic record
Abstract
This retrospective cohort study examined risk factors associated with RSV-associated hospitalization (RSV-H) among infants born 32 to 35 weeks gestational age in Nova Scotia. Results were used to develop a clinical instrument (RSV-H scoring tool) that would discriminate between infants at high, moderate and low risk for RSV-H. Identifying the highest-risk infants, (using baseline information to predict RSV-H in the first year of life), would help target cost effective prophylaxis by Palivizumab (Pz), an expensive RSV-specific monoclonal antibody. Significant risk factors, determined by multivariate logistics, included infants born in December, January or February, passive household smoke exposure and household crowding. The scoring tool produced similar RSV-H post-test probabilities (3.1% pre-test probability) between risk groups (5.5% vs. 5.8%) and was unable to target highest risk infants. The tool could be used as an educational guideline for health professionals, outlining the importance of significant risk factors for RSV-H to parents and caregivers.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".