a scoring model based on neutrophil to lymphocyte ratio predicts recurrence of hbv-associated hepatocellular carcinoma after liver transplantation评分模型基于中性粒细胞淋巴细胞比率预测hbv-associated肝细胞癌肝移植术后的复发.pdfVIP

a scoring model based on neutrophil to lymphocyte ratio predicts recurrence of hbv-associated hepatocellular carcinoma after liver transplantation评分模型基于中性粒细胞淋巴细胞比率预测hbv-associated肝细胞癌肝移植术后的复发.pdf

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a scoring model based on neutrophil to lymphocyte ratio predicts recurrence of hbv-associated hepatocellular carcinoma after liver transplantation评分模型基于中性粒细胞淋巴细胞比率预测hbv-associated肝细胞癌肝移植术后的复发

A Scoring Model Based on Neutrophil to Lymphocyte Ratio Predicts Recurrence of HBV-Associated Hepatocellular Carcinoma after Liver Transplantation 1 1 1 1 1 1 1 2 Guo-Ying Wang , Yang Yang , Hua Li , Jian Zhang , Nan Jiang , Min-Ru Li , Huan-Bing Zhu , Qi Zhang *, Gui-Hua Chen1,2* 1 Liver Transplantation Center, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China, 2 Guangdong Provincial Key Laboratory of Liver Disease Research, Guangzhou, Guangdong, China Abstract Background: Neutrophil to lymphocyte ratio (NLR) has been proposed to predict prognosis of hepatocellular carcinoma (HCC). However, the cut-off values are empirical. We determined the optimal cut-off value to predict HCC recurrence after liver transplantation (LT) and further established a scoring model based on NLR. Methodology/Principal Findings: We analyzed the outcome of 101 HBV-associated HCC patients undergoing LT. Preoperative risk factors for tumor recurrence were evaluated by univariate analysis. By using ROC analysis, NLR$3 was considered elevated. The disease-free survival (DFS) and overall survival (OS) for patients with high NLR was significantly worse than that for patients with normal NLR (the 5-year DFS and OS of 28.5% and 19.5% vs. 64.9% and 61.8%, respectively; P,0.001). Univariate analysis revealed that tumor size .5 cm, tumor number .3, macrovascular invasion, AFP$400 mg/L, NLR$3, and HBV-DNA level .5 log10 copies/mL were preoperative predictors of DFS. Cox regression analysis showed macrovascular invasion, tumor number, and high NLR were independent prognostic factors. We then established a preoperative prognostic score

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