Bing-Yi Lin1, Lin Zhou1, Lei Geng1, Zhi-Yun Zheng1, Jun-Jun Jia1, Jing Zhang1, Jia Yao1, Shu-Sen Zheng1. 1. Bing-Yi Lin, Lin Zhou, Zhi-Yun Zheng, Jun-Jun Jia, Jing Zhang, Shu-Sen Zheng, Key Laboratory of Combined Multi-Organ Transplantation, Ministry of Public Health, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.
Abstract
AIM: To investigate the significance of pre-transplant neutrophil-lymphocyte ratio (NLR) in determining the prognosis of liver transplant (LT) recipients with acute-on-chronic liver failure (ACLF). METHODS: Data were collected from the liver transplantation data bank. The NLR values and other conventional inflammatory markers were evaluated for their ability to predict the prognosis of 153 patients with ACLF after LT. The NLR cut-off value was based on a receiver operating characteristic curve analysis. A Kaplan-Meier curve analysis and univariate and multivariate Cox regression models were used to define the independent risk factors for poor outcomes. RESULTS: The optimal NLR cut-off value was 4.6. Out of 153 patients, 83 (54.2%) had an NLR ≥ 4.6. The 1-, 3-, and 5-year overall survival rates were 94.3%, 92.5% and 92.5%, respectively, in the normal NLR group and 74.7%, 71.8% and 69.8%, respectively, in patients with high NLRs (P < 0.001). Furthermore, there was a significant difference in infectious complications after LT between the high and normal NLR groups. There were no significant differences for other complications. In the multivariate Cox regression model, a high NLR was defined as a significant predictor of poor outcomes for LT. CONCLUSION: A high NLR is a convenient and available predictor for prognosis of LT patients and can potentially optimize the current criteria for LT in ACLF.
AIM: To investigate the significance of pre-transplant neutrophil-lymphocyte ratio (NLR) in determining the prognosis of liver transplant (LT) recipients with acute-on-chronic liver failure (ACLF). METHODS: Data were collected from the liver transplantation data bank. The NLR values and other conventional inflammatory markers were evaluated for their ability to predict the prognosis of 153 patients with ACLF after LT. The NLR cut-off value was based on a receiver operating characteristic curve analysis. A Kaplan-Meier curve analysis and univariate and multivariate Cox regression models were used to define the independent risk factors for poor outcomes. RESULTS: The optimal NLR cut-off value was 4.6. Out of 153 patients, 83 (54.2%) had an NLR ≥ 4.6. The 1-, 3-, and 5-year overall survival rates were 94.3%, 92.5% and 92.5%, respectively, in the normal NLR group and 74.7%, 71.8% and 69.8%, respectively, in patients with high NLRs (P < 0.001). Furthermore, there was a significant difference in infectious complications after LT between the high and normal NLR groups. There were no significant differences for other complications. In the multivariate Cox regression model, a high NLR was defined as a significant predictor of poor outcomes for LT. CONCLUSION: A high NLR is a convenient and available predictor for prognosis of LT patients and can potentially optimize the current criteria for LT in ACLF.
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