Objective To explore the value of pre-treatment prognostic nutritional index (PNI) and Controlling Nutritional Status (CONUT) score in predicting the prognosis of patients with ovarian cancer.
Methods Baseline data was conducted in 132 patients with ovarian cancer treated in the Third People′s Hospital of Yibin City from 2010 to 2017. PNI and CONUT scores were calculated, and the expiration date of follow-up was December 30, 2022. Kaplan-Meier method was used to draw survival curves, and Log rank test and Cox regression were used to analyze the factors influencing the prognosis of patients.
Results The median follow-up time was 71 months, with 28 deaths (21.2%) during the follow-up period. The 3-year and 5-year survival were 91.7% and 59.8% respectively. Analysis of receiver operating characteristic (ROC) curve revealed that the area under the curve for PNI and CONUT score to predict the prognosis was 0.977 and 0.989 respectively, with the best cutoff value of 40.9 and 3.5, respectively. Cox multivariate analysis showed that PNI, CONUT score, and International Federation of Obstetrics and Gynecology (FIGO) staging were independent influencing factors for prognosis among patients with ovarian cancer(HR=0.604, 3.339 and 6.771 respectively, P < 0.05).
Conclusion Pretreatment nutrition, inflammation and immune status are closely related to the prognosis of ovarian cancer patients, and PNI, CONUT score, and FIGO stage could be considered as important prognostic factors.
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