Abstract:
ObjectiveTo screen the risk factors of recurrence after laparoscopic conservative surgery for ovarian endometriosis (OEM) and establish the related risk early warning model.
MethodsThe clinical data of 174 patients with OEM who underwent laparoscopic conservative surgery were collected.The related factors affecting the recurrence after laparoscopic OEM conservative surgery were analyzed by univariate and multivariate logistic regression, and the nomogram prediction model was established.
ResultsYoung age, history of preoperative dysmenorrhea, history of previous medical treatment, posterior fornix tenderness, high r-AFS stage, bilateral lesions, and postoperative no medication were independent risk factors for recurrence after laparoscopic OEM conservative surgery (P<0.05 to P<0.01).A related nomogram model was established based on this, and the model was verified.The results showed that the C-index was 0.817, the calibration curve and the ideal curve fitted well, and the AUC was 0.839 (95%CI: 0.802-0.874), indicating the model had good predictive ability.
ConclusionsNomogram model based on risk factors has excellent prediction ability, which is of great clinical significance for early evaluation of recurrence risk after laparoscopic OEM conservative surgery.