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Combined preoperative albumin-bilirubin (ALBI) and serum γ-glutamyl transpeptidase (GGT) predicts the outcome of hepatocellular carcinoma patients following hepatic resection

机译:联合术前白蛋白-胆红素(ALBI)和血清γ-谷氨酰转肽酶(GGT)预测肝切除术后肝细胞癌患者的结局

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摘要

>Background: Liver function is an important prognostic factor for patients with hepatocellular carcinoma. The purpose of this study was to develop and validate a nomogram integrating the albumin-bilirubin (ALBI) and serum γ-glutamyl transpeptidase (GGT) level to predict postoperative overall survival (OS) and disease-free survival (DFS) of hepatocellular carcinoma (HCC).>Methods: The effect of combined of ALBI and GGT on HCC prognosis was investigated using univariate and multivariate Cox analyses. The nomogram for OS and DFS were developed, respectively, and their predictive ability was compared with other conventional staging systems, including the American Joint Commission on Cancer (AJCC), Barcelona Clinic Liver Cancer (BCLC) and the Cancer of the Liver Italian Program (CLIP).>Results: Combined ALBI and GGT was highly associated with OS (P<0.001) and DFS (P<0.001) of HCC patients treated with hepatic resection. In addition, the C-index of the OS (0.706±0.034) or DFS (0.674±0.032) nomogram in the training cohort was larger than AJCC, BCLC and CLIP. The Akaike information criterion (AICs) of the OS (2178.405) or DFS (2961.018) nomogram in the training cohort was smaller than above staging systems. The results suggested that the OS or DFS nomogram was the most powerful model to predict HCC prognosis. The similar trend was observed in the validation cohort.>Conclusion: The novel nomogram integrating ALBI and GGT was highly associated with OS and DFS of postoperative HCC patients.
机译:>背景:肝功能是肝细胞癌患者的重要预后因素。这项研究的目的是开发和验证结合白蛋白-胆红素(ALBI)和血清γ-谷氨酰转肽酶(GGT)水平的诺模图,以预测肝细胞癌的术后总体生存期(OS)和无病生存期(DFS)( >方法:采用单因素和多因素Cox分析研究了ALBI和GGT联合治疗对HCC预后的影响。分别开发了OS和DFS的诺模图,并将其预测能力与其他常规分期系统进行了比较,包括美国癌症联合委员会(AJCC),巴塞罗那临床肝癌(BCLC)和意大利肝癌计划( >结果:ALBI和GGT联合治疗与肝切除治疗的HCC患者的OS(P <0.001)和DFS(P <0.001)高度相关。此外,训练队列中OS(0.706±0.034)或DFS(0.674±0.032)列线图的C指数大于AJCC,BCLC和CLIP。训练队列中OS(2178.405)或DFS(2961.018)诺模图的Akaike信息标准(AIC)小于以上分级系统。结果表明OS或DFS诺模图是预测HCC预后的最强大模型。在验证队列中也观察到了类似的趋势。>结论:结合ALBI和GGT的新型列线图与术后HCC患者的OS和DFS高度相关。

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