Prediction of uterine rupture in singleton pregnancies with one prior cesarean birth undergoing <scp>TOLAC</scp>: A cross‐sectional study
Bibliographic record
Abstract
INTRODUCTION: Being able to counsel patients with one prior cesarean birth on the risk of uterine rupture with a trial of labor after cesarean, (TOLAC) is an important aspect of prenatal care. Despite uterine rupture being a catastrophic event, there is currently no successful, validated prediction model to predict its occurrence. MATERIAL AND METHODS: This was a cross-sectional study using US national birth data between 2014 and 2021. The primary objective was to identify risk factors for uterine rupture during TOLAC and to generate a prediction model for uterine rupture among singleton gestations with one prior cesarean as their only prior birth. The secondary objective was to describe the maternal and neonatal morbidity associated with uterine rupture. The association of all candidate variables with uterine rupture was tested with uni- and multi-variable logistic regression analyses. We included term and preterm singleton pregnancies with one prior birth that was cesarean birth (CB) with cephalic presentation undergoing TOLAC. We excluded pregnancies with major structural anomalies and chromosomal abnormalities. The Receiver Operating Characteristics (ROC) Curve was generated. p value <0.001 was considered statistically significant. RESULTS: Of the 270 329 singleton pregnancies with one prior CB undergoing TOLAC during the study period, there were 957 cases of uterine rupture (3.54 cases per 1000). Factors associated with uterine rupture in multivariable models were an interpregnancy interval < 18 months vs the reference interval of 24-35 months (aOR 1.55; 95% CI, 1.19-2.02), induction of labor (aOR 2.31; 95% CI, 2.01-2.65), and augmentation of labor (aOR 1.94; 95% CI, 1.70-2.21). Factors associated with reduced rates of uterine rupture were maternal age < 20 years (aOR 0.33, 95% CI 0.15-0.74) and 20-24 years (aOR 0.79, 95% CI 0.64-0.97) vs the reference of 25-29 years and gestational age at delivery 32-36 weeks vs the reference of 37-41 weeks (aOR 0.55, 95% CI 0.38-0.79). Incorporating these factors into a predictive model for uterine rupture yielded an area under the receiver-operating curve of 0.66. Additionally, all analyzed maternal and neonatal morbidities were increased in the setting of uterine rupture compared to non-rupture. CONCLUSIONS: Uterine rupture prediction models utilizing TOLAC characteristics have modest performance.
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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 | 0.002 | 0.006 |
| 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 | 0.000 | 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".