Integration of Child‑Pugh score with future liver remnant yields improved prediction of liver dysfunction risk for HBV‑related hepatocellular carcinoma following hepatic resection

Zou,Heng; Tao,Yiming; Wang,Zhi‑Ming

doi:10.3892/ol.2017.5919

Integration of Child‑Pugh score with future liver remnant yields improved prediction of liver dysfunction risk for HBV‑related hepatocellular carcinoma following hepatic resection

Authors:
- Heng Zou
- Yiming Tao
- Zhi‑Ming Wang
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Affiliations: Department of Hepatobiliary Surgery, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China
Published online on: March 27, 2017 https://doi.org/10.3892/ol.2017.5919
Pages: 3631-3637
Copyright: © Zou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Assessment of hepatic functional reserve is important to enable the selection of appropriate treatment methods and safe hepatic resection in hepatitis B virus (HBV)‑related hepatocellular carcinoma (HCC). In the present study, an evaluation was made of the clinical value of combining the Child‑Pugh score (CPS) with the standardized future liver remnant (sFLR) measurement to predict postoperative liver dysfunction (PLD). A total of 61 HBV‑related HCC patients undergoing liver volumetry prior to hepatectomy were enrolled in the study. The sFLR was calculated as the ratio of FLR volume to standardized liver volume. PLD was defined as a prothrombin time of >18 sec or a peak serum bilirubin level of >51.3 µmol/l for 7 days after surgery. Univariate analysis and multivariate logistic regression analysis were performed to identify risk factors associated with PLD. The correlation between PLD and the combination of sFLR and CPS was analyzed. In total, 18 out of 61 patients developed PLD (29.5%), with a significantly higher PLD incidence for a CPS of 6 than a CPS of 5 (P<0.05). Multivariate logistic regression analysis revealed that a prothrombin time of <13.3 sec and an sFLR of <0.55 were independent risk factors for PLD. Receiver operating characteristic (ROC) curve analysis revealed that the cut‑off values of sFLR and sFLR/CPS for predicting PLD were 54.5% and 0.0916, respectively, with areas under the ROC curve of 0.820 and 0.860, respectively. The combination of CPS and sFLR appears to yield improved prediction of the occurrence of PLD compared with either CPS or sFLR alone.

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