A quantitative assessment model of T-cell immune function for predicting risks of infection and rejection during the early stage after liver transplantation.

Abstract

Although more and more clinical studies indicated that ImmuKnow assay could efficiently assess the immune status of recipients, it still has the challenge to predict the occurrence of clinical adverse events. This study aimed to establish a quantitative assessment model, which could more efficiently predict immune function of T lymphocytes after liver… (More)
DOI: 10.1111/ctr.12187

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Cite this paper

@article{Li2013AQA, title={A quantitative assessment model of T-cell immune function for predicting risks of infection and rejection during the early stage after liver transplantation.}, author={Rui-dong Li and Zhen Sun and Jia-yong Dong and Hao Yin and Wen-yuan Guo and Zhi-ren Fu and Zheng-xin Wang}, journal={Clinical transplantation}, year={2013}, volume={27 5}, pages={666-72} }