42 A risk factor approach is highly effective at selecting 29-34w gestation infants at risk for first season RSV-related admissions – a population study
Bibliographic record
Abstract
RSV palivizumab prophylaxis remains controversial in infants 29-34w GA without bronchopulmonary dysplasia (BPD). In our RSV Program these infants only qualify if they cumulate risk factors (e.g. # siblings, breastfeeding, smoking at home, daycare attendance, etc.; for risk score>42 pts) and their date of discharge is after Oct01. This risk score was developed from the literature (including FLIP and PICNIC studies) and has been in use since 2013. We track all seasonal RSV=related admissions in infants ≤24 months. To compare RSV-related hospitalizations between infants who exceeded the risk threshold versus those who did not, across 4 RSV seasons. The RSV season runs from Nov01 to Apr30, so by definition all first season infants are <6mo age at the start of the RSV season. All ages were defined at the start of RSV season: Group 1: infants 29-34w, age ≤2 months with a risk score >42 pts; Group 2: infants 29-34w, age ≤2 months with a risk score ≤42 pts; Group 3: infants 29-34w, age 2–6 months with a risk score ≤42 pts. RSV-related admissions were obtained by linking 3 databases: Discharge Abstract Database using 7 RSV-related ICD-10 diagnostic codes, Perinatal Services regional Perinatal Data Registry (to establish the gestational age of infants), and RSV Program database. Only 355/2652 (13.3%) of infants 29-34w were admitted into the Program. Despite prophylaxis, Group 1 infants had higher RSV-related hospitalization rates than infants in Group 2. In subgroup analysis, infants born 29-32w were at increased risk in Groups 1 and 3, whereas infants 29-32w in Group 2 were not at increased risk, compared to infants 33–34 weeks (by 95% confidence intervals – not shown). Table shows proportions of RSV-related admissions with p-values defined between groups. The regional risk score safely and effectively selects the 13% of 29 to 34w infants ≤2mo with a high risk of RSV-related hospitalizations.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".