Prediction model for labour dystocia occurring in the active phase

Area of Science:

• Obstetrics and Gynecology
• Maternal-Fetal Medicine
• Clinical Prediction Modeling

Background:

• Labor dystocia in the active phase is a frequent labor aberration.
• Previous research identified risk factors but lacked robust prediction models.
• Early identification of labor dystocia is crucial for maternal and infant well-being.

Purpose of the Study:

• To establish and validate a predictive model for labor dystocia during the active phase of labor.
• To develop a visual nomogram for easy clinical application of the predictive model.
• To identify independent factors influencing labor dystocia in the active phase.

Main Methods:

• Retrospective analysis of clinical data from primiparas undergoing a trial of labor.
• Multivariate logistic regression analysis to identify independent predictors.
• Development of a nomogram using the R programming language.

Main Results:

• Fetal abdominal circumference, premature rupture of membranes (PROM), prolonged latent phase, fetal station, and fetal position were identified as independent predictors.
• The established model demonstrated effective and accurate prediction of labor dystocia.
• A user-friendly nomogram was created for clinical use.

Conclusions:

• The developed predictive model and nomogram offer a practical tool for early identification of labor dystocia.
• Clinical application can aid in timely interventions, potentially reducing Cesarean section rates and adverse outcomes.
• Further research can explore refining the model and its impact on clinical decision-making.