This population-based cohort study utilized US National Vital Statistics System natality files from 2020 to 2024 to examine delivery timing strategies in nulliparous, term, singleton, vertex (NTSV) pregnancies. The analysis included 5,776,412 live births and stratified patients by maternal age and body mass index (BMI) into low, moderate, and high risk groups. Delivery timing was defined by gestational age and labor onset, comparing elective induction at 39, 40, or 41 weeks against expectant management to 42 weeks.
The primary outcome was the proportion of deliveries completed by cesarean section. Overall, the cesarean rate was 26.4%. Rates exhibited a U-shaped distribution across gestational ages, with the lowest rate observed at 38 weeks (24.9%). Higher rates were noted at 37 weeks (29.8%) and 41 to 42 weeks (28.1% to 28.5%). The model's area under the receiver operating characteristic curve for cesarean prediction was 0.65.
When comparing induction to spontaneous labor, induction was associated with higher cesarean rates (29.3%) compared to spontaneous labor (24.2%), with an odds ratio of 1.30 (95% CI 1.29 to 1.30). Monte Carlo simulations suggested that induction at 39 weeks might be favored for high-risk patients, while expectant management to 41 to 42 weeks was favored for low-risk patients. The study population distribution was 64.9% low risk, 33.7% moderate risk, and 1.4% high risk.
Safety and adverse events were not reported in this analysis. Key limitations include the observational nature of the data, which precludes causal inference, and the lack of reported follow-up or specific adverse event data. Clinicians should interpret these associations with caution when considering delivery timing strategies within specific maternal risk contexts.
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Objective: To externally validate a risk stratified delivery timing model for nulliparous, term, singleton, vertex (NTSV) cesarean reduction using national data. Design: Population based cohort study of NTSV births in US National Vital Statistics System (NVSS) natality files, 2020 to2024, using logistic regression for cesarean predictors and risk stratified Monte Carlo simulation (10,000 iterations per strategy and risk group) to evaluate delivery timing policies. Setting: All live births in the US recorded in the NVSS natality files. Participants: NTSV patients with term (37+ weeks) pregnancies and complete gestational age and delivery mode data (N=5 776 412). A sensitivity cohort excluded pre 39 week deliveries and pregnancies with preexisting diabetes or hypertension. Exposures: Delivery timing strategies defined by gestational age and labor onset (elective induction at 39, 40, or 41 weeks, or expectant management to 42 weeks), evaluated within maternal age and body mass index (BMI) risk strata (low: age <35 and BMI <30; moderate: age > 35 or BMI > 30; high: age > 35 and BMI > 35). Main Outcomes and Measures: Primary outcome was cesarean delivery, measured as the proportion of deliveries completed by cesarean across gestational ages, labor onset types, and age BMI strata. Secondary outcomes included gestational age specific cesarean rates, area under the receiver operating characteristic curve (AUC) for cesarean prediction, and simulated mean cesarean rates with 95% simulation intervals under four delivery timing strategies within each risk group. Results: The overall NTSV cesarean rate was 26.4%. Cesarean Rates were U shaped across gestational ages, with the lowest rate at 38 weeks (24.9%) and higher rates at 37 weeks (29.8%) and 41 to 42 weeks (28.1 to 28.5%). Risk group distribution was 64.9% low, 33.7% moderate, and 1.4% high. Model AUC was 0.65. Induction had higher cesarean rates than spontaneous labor (29.3% vs 24.2%; odds ratio 1.30, 95% confidence interval 1.29 to 1.30). Monte Carlo simulation favored induction at 39 weeks for high risk patients (59.3%) and expectant management to 41 to 42 weeks for low risk patients (19.1%). Conclusions and Relevance: A risk stratified NTSV labor management model showed external validity in 5.8 million US births and consistently identified risk-specific timing strategies that lowered cesarean rates, supporting individualized delivery timing policies.