The risk of intrapartum cesarean delivery in advanced maternal age
Bibliographic record
Abstract
OBJECTIVE: We aimed to investigate the association of advanced maternal age with intrapartum cesarean delivery and to assess its risk factors and perinatal outcomes. STUDY DESIGN: A retrospective cohort study of all women with singleton pregnancies who attempted a trial of labor (≥24 + 0 weeks of gestation) in a single center (2011-2017). The study population was stratified by parity (nulliparous or multiparous) and further sub-categorized into three cohorts: (1) women <35 years at birth (reference group), (2) women aged 35-40 years, and (3) women >40 years. Labor and delivery characteristics and neonatal outcomes were compared. RESULTS: Overall, 55,089 women were included: 39, 192 (71.1%) were under 35 years old, 15,90712,892 (28.923.4%) were 35-40 y and 3,015 (5.5%) were >40 y. For nulliparas, the rate of intrapartum Cesarean deliveries increased with maternal age and approached 25.3% in those >40 y as compared to 8.9% for those <35 y. The positive association between Cesarean section rates and maternal age extends beyond nulliparas and is also seen in multiparas, although to a smaller degree. After adjusting for confounders, maternal age was significantly and independently associated with intrapartum cesarean delivery in a dose-dependent manner in nulliparous women, [adjusted Odd Ratio (aOR) 1.56 (95% Confidence Interval (CI) 1.39-1.76) and 2.53 (2.07-3.09)] among women aged 35-40 y and >40 y, respectively. Maternal age was not significantly associated with adverse neonatal outcome. CONCLUSION: Advanced maternal age is an independent risk factor for intrapartum Cesarean delivery. Yet, the majority of older gravidae who attempt a trial of labor, even if nulliparous, deliver vaginally without an increase in adverse neonatal outcome.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".