Predictors of Infection After Cesarean Delivery

The authors aimed to develop and validate a predictive model for infection following cesarean delivery by analyzing preoperative and perioperative characteristics in a multicenter randomized trial. They identified several significant predictors of infection, including tobacco use, high BMI, labor prior to cesarean, and surgical duration, but noted that the model's performance was modest with an AUC of 0.64. The study highlights the need for further refinement of the model to improve its clinical applicability and effectiveness in guiding prevention strategies.