The relation between cigarette smoking with delivery outcomes. An evaluation of a database of more than nine million deliveries
Bibliographic record
Abstract
OBJECTIVES: Smoking in pregnancy is associated with an increased risk of preterm birth (PTB), intrauterine growth restriction, placental abruption and perinatal death. The association between smoking and other delivery outcomes, such as chorioamnionitis, mode of delivery or postpartum hemorrhage (PPH), however, is insufficient as only few studies addressed these issues. The aim of the study was to evaluate the association between prenatal smoking and delivery outcomes in a large database, while controlling for confounding effects. METHODS: A retrospective population-based study using data from the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample (HCUP-NIS). A dataset of all deliveries between 2004 and 2014 (inclusively) was created. Our control group included all pregnant women who did not smoke during pregnancy, which was compared to pregnant women who smoked. A multivariate logistic analysis was conducted, adjusting for any statistically significant confounding effects. RESULTS: Our study identified 9,096,788 births between 2004 and 2014. Of which, 443,590 (4.8%) had a documented diagnosis of smoking. A significantly higher risk was found for PTB (odds ratio 1.39, CI 1.35-1.43), preterm premature rupture of membranes (odds ratio 1.52, CI 1.43-1.62) and small for gestational age (SGA) neonates (odds ratio 2.27, CI 2.19-2.35). The risks of preeclampsia (odds ratio 0.82, CI 0.78-0.85), chorioamnionitis (odds ratio 0.88, CI 0.83-0.4), PPH (odds ratio 0.94 CI 0.9-0.98) and operative vaginal delivery (odds ratio 0.9, CI 0.87-0.94) were lower among smokers. CONCLUSIONS: This large database confirms the findings of previous smaller studies, according to which smoking decreases the risk of preeclampsia while increasing the risk of PTB and SGA neonates. The current study also revealed a decreased risk for PPH as well as for chorioamnionitis among pregnant smokers.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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 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".