Identifying Risk Factors for Severe Respiratory Syncytial Virus Among Infants Born After 33 Through 35 Completed Weeks of Gestation
Bibliographic record
Abstract
BACKGROUND: Prematurity is a proven risk factor for severe respiratory syncytial virus (RSV) infection. Prematurity leads to an increased need for, and duration of, hospital admission, intensive care, mechanical ventilation and supplemental oxygen, as well as increased mortality. METHODS: The Pediatric Investigators Collaborative Network on Infections in Canada (PICNIC) study was a prospective, multicenter, cohort study conducted in 16 regions across Canada during 2 successive RSV seasons: November 2000-June 2001, and November 2001-June 2002. The study regions were defined to capture all births and all hospital admissions. The FLIP [identify those risk Factors that most Likely may lead to development of RSV-related respiratory Infection and subsequent hospital admission among Premature infants born 33-35 weeks gestational age (GA)] study was a prospective, case-control study comparison of premature infants hospitalized for RSV infection and infants who had not been hospitalized to identify the risk factors that most likely would lead to development of RSV infection and subsequent hospital admission in this population. RESULTS: The overall hospitalization rate for RSV in the PICNIC study was 3.6% for infants of 33-35 weeks GA. In the FLIP study, the severity of RSV infection in the 33- to 35-week GA infants was similar to that in the younger infants of <33-week GA studied previously by the Infeccion Respiratoria Infantil por Virus Respiratorio Sincitial Study Group. Similar risk factors were noted in both studies. CONCLUSIONS: RSV is a major cause of hospitalization in preterm infants. There is great variability among hospital admission rates globally, despite the commonality of severe RSV in many countries. Furthermore there are numerous independent risk factors for severe RSV, including socioeconomic and environmental factors, that merit further investigation. There is likely an additive effect when multiple risk factors are present. More research is needed on the various risk factors and their significance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".