Abstract:
Objective To explore the value of blood inflammatory load in predicting overall survival of elderly patients with epithelial ovarian cancer (EOC).
Methods Elderly patients with EOC were selected, and their clinical data and peripheral blood parameters were collected. We constructed an inflammation-related blood scoring system using univariate and multivariate Cox regression analysis. The Kaplan-Meier method was used for survival analysis. We used Cox proportional hazards analysis to identify the independent prognostic factors. A nomogram model was constructed based on independent prognostic factors, and the receiver operating characteristic curve, C-index, and calibration curve were used to evaluate the model.
Results Patients with high blood inflammatory load had worse prognosis (P=0.002). Compared with the low inflammatory load group, patients with high inflammatory load had later clinical stages and larger ascites volume (P<0.05). Cox regression analysis showed that ACCI, CA125, residual lesions, and blood score were independent factors affecting overall survival (P<0.05).
Conclusion The blood inflammatory load is the biomarker for the prognosis of elderly patients with EOC. Scoring the inflammatory load in the blood can assist in efficacy monitoring and treatment intervention of ovarian cancer patients.
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