Value of Liver Regeneration in Predicting Short-Term Prognosis for Patients with Hepatitis B-Related Acute-on-Chronic Liver Failure

Author:

Wang Xiaoping12,Sun Mengying13,Yang Xianjun4,Gao Liucun5,Weng Min1,Yang Dehui1,Li Hongyong1,Zhou Xiaolei1,Li Jiani13,Qin Sen13,Zhou Dejiang1,Wu Xiaoling1,Tang Shanhong13ORCID,Zeng Weizheng1ORCID

Affiliation:

1. Department of Gastroenterology, The General Hospital of Western Theater Command, Chengdu, Sichuan, 610083, China

2. Department of Gastroenterology, Suining Central Hospital, Suining, Sichuan, 629000, China

3. College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610003, China

4. Western Military Command Disease Prevention and Control Center, Chengdu, Sichuan, 610021, China

5. Clinical Research Center, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, 100045, China

Abstract

Background and Aims. The value of hepatocyte regeneration in predicting the outcomes of hepatitis B-related acute-on-chronic liver failure (HBV-ACLF) is not fully assessed. The present study was aimed at establishing a novel scoring system to predict patients’ outcomes within 3 months by applying serological indicators of hepatic regeneration and liver injury. Methods. Patients with chronic hepatitis B who had a rapid deterioration were investigated. Patients were observed for 90 days, and the endpoint of follow-up was death or liver transplantation. Serum parameters were estimated on the diagnosis of acute-on-chronic liver failure (ACLF). Cox proportional hazard regression was used to identify independent prognostic factors and create a novel prognostic scoring system, and a receiver operating characteristic (ROC) curve was used to analyze the performance of the model. Results. A total of 308 patients with HBV-ACLF were incorporated and divided into the training cohort (n=206) and testing cohort (n=102) randomly. Creatine (Cre), age, total bilirubin (TBil), alpha-fetoprotein (AFP), and international normalized ratio (INR) were found to be independent prognostic factors. According to the results of Cox regression analysis, a new prognostic model (we named it the TACIA score) was calculated. The areas under ROC (AUROC) for the new model were 0.861 and 0.763 in the training and testing cohorts, respectively, and patients with lower TACIA scores (<4.34) would survive longer (P<0.001). Conclusions. A pertinent prognostic scoring system for patients with HBV-ACLF was established in our study, and the novel model could predict patients’ short-term survival effectively.

Funder

Science Foundations of Health Commission of Sichuan Province

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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