A scoring model based on plasma fibrinogen concentration for predicting recurrence of hepatocellular carcinoma after liver transplantation
10.1016/j.livres.2019.11.005
- Author:
Zeng KAI-NING
1
;
Zhang YING-CAI
;
Wang GEN-SHU
;
Zhang JIAN
;
Deng YI-NAN
;
Li SHI-HUI
;
Zhang QI
;
Li HUA
;
Wang GUO-YING
;
Yang YANG
;
Chen GUI-HUA
Author Information
1. Department of Hepatic Surgery and Liver Transplant Program of the Third Affiliated Hospital
- Keywords:
Liver transplantation(LT);
Hepatocellular carcinoma(HCC);
Scoring model;
Recurrence;
Fibrinogen concentration
- From:
Liver Research
2019;3(3):234-239
- CountryChina
- Language:Chinese
-
Abstract:
Background:We investigated the prognostic value of preoperative fibrinogen levels in hepatocellular carcinoma patients receiving liver transplantation by building a scoring model for predicting tumor recurrence. Methods:Cox regression analysis was used to identify factors that predicted tumor recurrence,and a scoring model was generated by assigning a value of 0 or 1 to each independent risk factor.The cut-off value for fibrinogen was determined by receiver operating characteristic curve analysis. Results:Preoperative fibrinogen concentration was significantly higher in patients with vs.without tu-mor recurrence(3.27 g/L vs.2.34 g/L,P＜0.001),with vs.without macrovascular invasion(3.54 g/L vs.2.82 g/L,P=0.007),and with＞400 vs.≤400 ng/mL plasma alpha-fetoprotein concentration(3.43 g/L vs.2.76 g/L,P=0.007).The 5-year disease-free survival rate was significantly lower for patients with elevated(≥2.68 g/L)vs.normal(＜2.68 g/L)fibrinogen concentration(37.2％vs.78.4％,P=0.001).Mac-rovascular invasion,＞3 tumor nodules,and elevated fibrinogen concentration were independent risk factors for tumor recurrence.A scoring model based on these risk factors predicted recurrence with a sensitivity of 68.3％and a specificity of 87.5％. Conclusions:Elevated preoperative plasma fibrinogen concentration is associated with tumor recurrence in HCC patients after liver transplantation.A new scoring model predicted recurrence with good sensitivity and specificity.
