Pneumothorax in neonates: Trends, predictors and outcomes
Bibliographic record
Abstract
OBJECTIVE: To examine rates, trends, predictive risk factors, and outcomes associated with pneumothorax in neonates. STUDY DESIGN: Retrospective analyses were used to estimate rates and assess trends in pneumothorax among early preterm (GA <32 weeks), moderate-late preterm (GA 32-36), and term (GA ≥37 weeks) neonates admitted to neonatal intensive care units (NICUs) participating in the Canadian Neonatal Network™ from 2005 to 2011. For each GA group, multivariable logistic regression models were derived to predict pneumothorax using risk factors with known clinical relevance. Additional logistic regression analyses assessed associations between pneumothorax and mortality, bronchopulmonary dysplasia, and intraventricular hemorrhage. RESULTS: The study included 71,237 neonates; of them 16,985 (24%) early preterm, 27,709 (39%) moderate-late preterm, and 26,543 (37%) term neonates. The overall rate of pneumothorax by GA was bimodal with estimates of 4.0%, 2.6%, and 6.7% respectively. No significant temporal trends were detected. Risk factors for pneumothorax included: a) for the overall lpopulation- Score for Neonatal Acute Physiology, version II >20, surfactant use, and respiratory distress syndrome; b) for early preterm infants-chorioamnionitis; c) for moderate-late preterm infants-higher birth weight, male sex, rupture of membranes >24 hours, and outborn status; and d) for term infants- male sex, outborn status, and meconium aspiration in term neonates. In early preterm neonates, pneumothorax was associated with mortality, bronchopulmonary dysplasia, severe intraventricular hemorrhage, and prolonged NICU stay. CONCLUSIONS: Pneumothorax rates were higher among term and early preterm neonates admitted to the NICU. Predictors of pneumothorax varied between GA groups. Pneumothorax-associated mortality and morbidity were significantly greater in early preterm infants.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".