How to select suitable hepatocellular carcinoma for liver transplantation by preoperative neutrophil-lymphocyte ratio
| Autor: | Guang-Qin, Xiao, Lunan, Yan, Jiayin, Yang |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Carcinoma Hepatocellular Time Factors Neutrophils Kaplan-Meier Estimate Risk Assessment Disease-Free Survival Decision Support Techniques Young Adult Predictive Value of Tests Risk Factors Humans Neoplasm Invasiveness Lymphocyte Count Lymphocytes Registries Aged Retrospective Studies Chi-Square Distribution Patient Selection Liver Neoplasms Middle Aged Liver Transplantation Tumor Burden Treatment Outcome ROC Curve Area Under Curve Multivariate Analysis Female |
| Zdroj: | Hepato-gastroenterology. 61(135) |
| ISSN: | 0172-6390 |
| Popis: | The liver transplantation (LT) criteria for hepatocellular carcinoma (HCC) is expanding. However, most of the existing criteria are based on tumor characteristics of radiology. We aimed to build a preoperative scoring model including the neutrophil–lymphocyte ratio (NLR) to select HCC patients for LT.Using receiver operating characteristic curve (ROC) analysis the sensitivity and specificity were highest when NLR was 3.79, so we defined NLR4 as elevated. By univariate and multivariate analysis, the significant predictors including NLR were used to establish a scoring model to predict outcome of HCC patients after LT.Of 280 HCC patients, there were 114 patients with elevated NLR. The one-, three- and five-year recurrence-free survival rates of patients with high and low NLR were 64.9%, 30.1%, 30.1% vs. 83.9%, 62.9%, 60.7% (p0.001). On univariate and multivariate analysis, the raised NLR (p = 0.007), total tumor size9 cm (p0.001) and vascular invasion (p0.001) were the significant factors in predicting outcome. By ROC analysis, the patients with a score ≥ 1 had an area under the curve (AUC) of 0.745.This scoring model including NLR can aid in selecting HCC candidates for LT. |
| Databáze: | OpenAIRE |
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