Prediction of Emergency Cesarean Section Using Detectable Maternal and Fetal Characteristics Among Saudi Women.

Background: The worldwide rate of cesarean section (CS) is increasing. Development of prediction models for a specific population may improve the unmet need for CS as well as reduce the overuse of CS.

Objective: To explore risk factors associated with emergency CS, and to determine the accuracy of predicting it.