Value of fibrosis-4 combined with prognostic nutritional index in predicting recurrence and survival time after radiofrequency ablation for early-stage hepatocellular carcinoma
10.3969/j.issn.1001-5256.2023.11.015
- VernacularTitle:肝纤维化-4指数（FIB-4）联合预后营养指数（PNI）对早期肝癌射频消融术后复发及生存期的预测价值
- Author:
Xu ZHANG
1
;
Fushuang HA
1
;
Fenghui LI
1
;
Yanying GAO
1
;
Jing LIANG
1
Author Information
1. Department of Gastroenterology and Hepatology， Tianjin Third Central Hospital； Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases； Artificial Cell Engineering Technology Research Center； Tianjin Institute of Hepatobiliary Disease， Tianjin 300170， China
- Publication Type:Journal Article
- Keywords:
Carcinoma， Hepatocellular;
Radiofrequency Ablation;
Nutrition Assessment;
Prognosis
- From:
Journal of Clinical Hepatology
2023;39(11):2614-2622
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo investigate the value of preoperative fibrosis 4 score （FIB-4） combined with prognostic nutritional index （PNI） in predicting recurrence after radiofrequency ablation （RFA） for early-stage hepatocellular carcinoma （HCC）. MethodsA retrospective analysis was performed for the clinical data of 365 patients with the initial diagnosis of early-stage HCC who underwent RFA at Tianjin Third Central Hospital from January 2013 to December 2017， and a statistical analysis was performed for recurrence and survival. The receiver operating characteristic （ROC） curve was plotted for FIB-4 and PNI with postoperative tumor recurrence as the positive event， and their optimal cut-off values were selected. FIB-4 and PNI were graded and combined as FIB-4-PNI score， based on which the patients were divided into 0-point group with 207 patients， 1-point group with 93 patients， and 2-point group with 65 patients. The chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier survival analysis and the log-rank test were used to compare the recurrence-free survival （RFS） and overall survival （OS） between groups， and the Cox regression model was used to investigate the influencing factors for RFS and OS. ResultsThe 1-， 3-， and 5-year RFS rates of all patients were 79.2%， 49.8%， and 34.3%， respectively， with a median RFS of 35 months， while the 1-， 3-， and 5-year OS rates of all patients were 98.9%， 86.9%， and 77.3%， respectively. There were significant differences in cumulative RFS and OS rates between the patients with different levels of FIB-4， PNI， and FIB-4-PNI （RFS rate： χ2=17.890， 29.826， and 32.397， all P<0.001； OS rate： χ2=16.896， 21.070， and 26.121， all P<0.001）. The multivariate Cox regression analysis showed that history of diabetes （hazard ratio ［HR］=1.418， 95% confidence interval ［CI］： 1.046 — 1.922， P=0.024）， two tumors （HR=1.516， 95%CI： 1.094 — 2.101， P=0.012）， three tumors （HR=2.146， 95%CI： 1.278 — 3.604， P=0.004）， FIB-4-PNI 1 point （HR=1.875， 95%CI： 1.385 — 2.539， P<0.001）， and FIB-4-PNI 2 points （HR=2.35， 95%CI： 1.706 — 3.236， P<0.001） were independent risk factors for RFS， while two tumors （HR=1.732， 95%CI： 1.005 — 2.983， P=0.048）， three tumors （HR=3.511， 95%CI： 1.658 — 7.433， P=0.001）， FIB-4-PNI 1 point （HR=2.094， 95%CI： 1.230 — 3.565， P=0.006）， and FIB-4-PNI 2 points （HR=3.908， 95%CI： 2.306 — 6.624， P<0.001） were independent risk factors for OS. ConclusionFIB-4-PNI score can be used as an independent predictive factor for recurrence and overall survival time after RFA for early-stage HCC， and it can be combined with tumor features to predict postoperative recurrence and survival.
