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Evaluation of prognostic value of neutrophil-to-lymphocyte ratio in patients with acute-on-chronic liver failure or severe liver injury from chronic HBV infection

医学 内科学 中性粒细胞与淋巴细胞比率 淋巴细胞 肝衰竭 肝损伤 胃肠病学 免疫学
作者
Jian Sun,Hongying Guo,Xueping Yu,Jingwen Chen,Haoxiang Zhu,Xun Qi,Xueyun Zhang,Jiajia Han,Xiaoqin Liu,Jianghua Yang,Jiefei Wang,Zhiping Qian,Yuxian Huang,Richeng Mao,Jiming Zhang
出处
期刊:European Journal of Gastroenterology & Hepatology [Ovid Technologies (Wolters Kluwer)]
卷期号:33 (1S): e670-e680 被引量:5
标识
DOI:10.1097/meg.0000000000002207
摘要

Acute-on-chronic liver failure (ACLF) is associated with bacterial infection and poor outcome. Neutrophil-to-lymphocyte ratio (NLR) is used to assess bacterial infection and immune dysfunction in numerous diseases. We aimed to evaluate NLR as a prognostic biomarker and to explore its combination with accepted prognostic models in ACLF patients.This retrospective study included patients with ACLF or severe liver injury from chronic HBV infection admitted to three tertiary academic hospitals in China from 2013 to 2019. Baseline NLR was correlated with ACLF grade, bacterial infection, survival and accepted ACLF scores.Baseline NLR values were significantly increased in nonsurvivors and patients with bacterial infection at or after admission and were unaffected by cirrhotic status in 412 transplant-free patients included in three cohorts. Compared with accepted scores, NLR showed moderate accuracy in predicting 28-day mortality and high accuracy in predicting 90-day mortality. Three levels of mortality risk were graded on the basis of NLR values (<3.10, 3.10-4.79 and >4.79), and NLR >4.79 was associated with 53.2-60.0% 28-day and 75.0-80.0% 90-day mortality in these cohorts. Multivariate analyses indicated that NLR retained statistical significance independently of CLIF consortium organ failure score (CLIF-C OFs). NLR-based CLIF-C ACLF score was primarily developed and showed excellent performance in predicting 28/90-day mortality.NLR is a dependable biomarker for bacterial infection assessment and short-term mortality prediction in ACLF patients and can be used jointly with CLIF-C OFs to improve the accuracy of mortality prediction in patients with the disease. NLR-based CLIF-C ACLF model needs further validation.
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