Risk Factors for Early and Late Onset of Respiratory Symptoms in Babies Born through Meconium
Bibliographic record
Abstract
We sought (1) to identify risk factors for meconium aspiration syndrome (MAS) among infants born to women whose labors were complicated by thick-consistency meconium-stained amniotic fluid (MSAF), and (2) to determine whether risk factors and infant prognosis differ according to the time of onset of respiratory distress. We performed a secondary analysis of a multicenter randomized trial of amnioinfusion (AI) for the prevention of MAS among women with thick-consistency MSAF. MAS was defined as onset of respiratory distress requiring oxygen supplementation within the first 4 hours of life. Patients with respiratory symptoms with onset at >or=4 hours were treated as a separate outcome category, "late-onset respiratory distress." We developed peripartum and intrapartum regression models to identify the risk of MAS and its subgroups. A tracing with marked abnormalities was a significant risk factor for moderate/severe MAS, but not for mild MAS or for late-onset respiratory distress. Meconium below the vocal cords and need for resuscitation immediately after birth were risk factors for mild and moderate/severe MAS as well as for late-onset respiratory distress. The risk of nonrespiratory comorbidities varied directly according to the severity of the respiratory distress. Late-onset respiratory distress shares several risk factors with MAS, as defined by Rossi et al. The two conditions may represent different manifestations of the same disease process.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".