Cause of Preterm Birth as a Prognostic Factor for Mortality
Bibliographic record
Abstract
OBJECTIVE: To investigate the association of the cause of preterm birth on in-hospital mortality of preterm neonates born from 24 to 34 weeks of gestation. METHODS: L'Etude épidémiologique sur les petits âges gestationnels (EPIPAGE)-2 is a prospective, nationwide, population-based cohort of very preterm births. After dividing causes of preterm birth into six mutually exclusive groups, we analyzed the association of each cause with in-hospital deaths of preterm neonates born alive with adjustment for organizational, maternal, and obstetric factors. RESULTS: The analysis included 3,138 singleton live births from 24 to 34 weeks of gestation with a newborn in-hospital mortality rate of 5.0% (95% confidence interval 4.5-5.7). Preterm labor was the most frequent cause of preterm birth (n=1,293 [43.5%]) followed by preterm premature rupture of membranes (n=765 [23.9%]), hypertensive disorders without suspected fetal growth restriction (n=397 [12.7%]), hypertensive disorders with suspected fetal growth restriction (n=408 [10.9%]), placental abruption after an uncomplicated pregnancy (n=92 [3.0%]), and suspected fetal growth restriction without hypertensive disorders (n=183 [5.9%]). Neonates born because of suspected fetal growth restriction with or without hypertensive disorders (adjusted odds ratio [OR] 3.0 [1.9-4.7] and adjusted OR 2.3 [1.1-4.6], respectively) had higher adjusted risks of in-hospital death than those born after preterm labor. Risks of in-hospital mortality for preterm births caused by preterm premature rupture of membranes (adjusted OR 1.3 [0.9-1.9]), hypertensive disorders without fetal growth restriction (adjusted OR 0.7 [0.4-1.4]), or placental abruption (adjusted OR 1.6 [0.7-3.7]) were similar to those born after preterm labor. CONCLUSION: Among neonates born alive before 34 weeks of gestation, only those born because of suspected fetal growth restriction have a higher mortality risk than those born after preterm labor.
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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 | 0.012 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".