Elective Cesarean Delivery, Neonatal Intensive Care Unit Admission, and Neonatal Respiratory Distress
Bibliographic record
Abstract
OBJECTIVE: To evaluate the relationship among gestational age at elective cesarean delivery, neonatal intensive care unit (NICU) admission, and whether the presence of pre-cesarean delivery labor or ruptured membranes affected the incidence of neonatal respiratory distress. METHODS: A chart review was performed of all elective caesarean deliveries (documented planned in advance) during 1 year, 2004-2005, in the Calgary Health Region; resulting in liveborn infants at or after 36 weeks of gestation and birth weight equal to or greater than 2,500 g. The primary outcomes are relative risk of NICU admission or respiratory distress. RESULTS: A total of 1,193 paired maternal and infant charts were reviewed. Admission rate to the NICU was 156 of 1,195 (13.1%). The most common admitting diagnosis was respiratory distress, 126 of 156 (80%). Male gender was a significant risk factor for admission to the NICU or respiratory distress (odds ratio [OR] 1.82, 95% confidence interval [CI] 1.27-2.60, and OR 1.98, 95% CI 1.33-2.95, respectively). Elective cesarean delivery beyond 270 days of gestational age (38(4/7) weeks) significantly reduced the risk for NICU admission or respiratory distress (OR 0.62, 95% CI 0.43-0.89, and OR 0.50, 95% CI 0.34-0.74, respectively). The presence of spontaneous contractions or rupture of membranes before elective cesarean delivery did not reduce the risk of NICU admission or respiratory distress (OR 1.05, 95% CI 0.69-1.62, and OR 0.96, 95% CI 0.60-1.55, respectively). CONCLUSION: Admission to NICU and development of respiratory distress were associated with gestational age at time of elective cesarean delivery and male gender. Awaiting the onset of labor or ruptured membranes did not appear to reduce the risk of NICU admission or neonatal respiratory distress.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".