Influencing factors and prediction model construction for recurrence in patients with ovarian endometriosis after laparoscopic conservative surgery
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified key factors predicting ovarian endometriosis recurrence after surgery. A new nomogram model accurately assesses risk, aiding clinical decisions for patients undergoing laparoscopic conservative surgery.
Area Of Science
- Gynecology
- Surgical Oncology
- Reproductive Medicine
Background
- Ovarian endometriosis (OEM) recurrence after conservative surgery poses a clinical challenge.
- Accurate prediction of recurrence is crucial for optimizing patient management and outcomes.
Purpose Of The Study
- To identify factors influencing recurrence after laparoscopic conservative surgery for ovarian endometriosis (OEM).
- To develop and validate a predictive model for postoperative recurrence in OEM patients.
Main Methods
- Retrospective analysis of 212 OEM patients undergoing laparoscopic conservative surgery.
- Logistic regression to identify recurrence risk and protective factors.
- Construction and validation of a nomogram prediction model using ROC curve analysis and bootstrapping.
Main Results
- The recurrence rate was 16.98% over two years.
- Risk factors included bilateral cysts, high r-ASRM stage, and elevated postoperative TNF-α.
- Older age and adjuvant medication were protective factors. The nomogram achieved an AUC of 0.895.
Conclusions
- A nomogram model incorporating age, cyst distribution, r-ASRM stage, TNF-α, and adjuvant drugs effectively predicts OEM recurrence risk.
- The model demonstrates good discriminative power and clinical utility for risk assessment.
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