Abstract
This study aimed to develop and validate a novel nomogram to predict the risk of non-infectious fever (NIF) in patients following laparoscopic myomectomy. A retrospective analysis was conducted on data from patients who underwent laparoscopic myomectomy between 2019 and 2023. Pertinent variables before, during, and after surgery were collected. Multivariate logistic regression analysis identified independent risk factors for postoperative NIF, from which a nomogram was constructed. The study included 576 patients, among whom 64 (11.1%) developed postoperative NIF. Multivariate analysis identified leiomyoma size, number of leiomyomas, preoperative hemoglobin levels, operative time, and estimated blood loss as independent risk factors for postoperative NIF. A predictive nomogram model incorporating these factors demonstrated good accuracy following internal validation. The developed nomogram represents the first tool tailored for predicting NIF after laparoscopic myomectomy. Its implementation can assist clinicians in early identification of high-risk patients, facilitating timely preventive and management strategies.