Development and validation of a nomogram to predict the risk of cesarean delivery in macrosomia.

Objective: To develop and validate a nomogram that predicts individual probability of cesarean delivery in cases of macrosomia (>4,000 g).

Methods: The nomogram was built based on the data from 246 patients who delivered macrosomic infants at Conception Hospital (Marseille, France), and was validated on an external population of 206 patients. Logistic regression was used to construct a model to predict the probability of cesarean section.