Postoperative Inflammatory and Nutritional Biomarkers for Predicting Anastomotic Leakage After Ovarian Cancer Surgery: A Multicenter Study

Background Ultra-radical cytoreductive surgery is frequently performed for patients with advanced ovarian cancer (OC). However, anastomotic leakage (AL) is a serious complication of such surgeries and the risk factors remain unclear. This study identified early postoperative C-reactive protein (CRP) and albumin were the strongest predictors of leakage. Methods This multicenter retrospective study involved 305 patients with ovarian cancer who underwent primary anastomosis following enterectomy, spanning January 2018 to June 2023. Comprehensive clinical and demographic data were used to develop predictive models. Feature selection was performed using LASSO and univariate logistic regression. Machine learning algorithms were subsequently applied, with model interpretability assessed using SHapley Additive explanations (SHAP). Results The study revealed an AL prevalence of 14.1%, with 46.5% of affected patients requiring reoperation. Five predictors were identified, including postoperative CRP, serum albumin levels, Eastern Cooperative Oncology Group score, N stage, and blood urea nitrogen. The Lasso-Logistic model demonstrated the best predictive performance with an area under the curve of 0.828 (0.119). SHAP analysis highlighted early postoperative CRP, albumin, and N stage as major contributing factors. Economic analysis revealed a significant correlation between AL and hospital stay, hospital costs, and time to chemotherapy. Discussion Early postoperative inflammatory and nutritional biomarkers, particularly CRP and albumin, demonstrated significant predictive value for anastomotic leakage, providing an early warning for risk stratification and intervention. The investigation also bolstered the evidence supporting the restrictive surgical scope approach advocated in clinical guidelines.