Chinese Hepatolgy ›› 2019, Vol. 24 ›› Issue (9): 997-1001.

• Original Articles • Previous Articles     Next Articles

Study of risk factors and high-risk population of acute kidney injury in patients with hepatitis B virus related acute on chronic liver failure

ZHANG Zhi-qiao1, YE Yi-nong2, HE Gang3, WANG Peng1, LI Jing1, WU Xing-liu3   

  1. 1. Department of Infectious Diseases, Shunde Hospital of Southern Medical University, Guangdong 528300, China;
    2. Department of Infectious Diseases, The First People's Hospital of Foshan, Foshan, Guangdong 528000, China;
    3. Department of Infectious Diseases, The Jiangmen Central Hospital, Guangdong, 529000, China
  • Received:2019-05-05 Published:2020-04-15
  • Contact: YE Yi-nong, E-mail:fsyyn001@126.com

Abstract: Objective To investigate the risk factors and high-risk population of acute kidney injury (AKI) in patients with hepatitis B virus related acute on chronic liver failure (HBV-ACLF) by classification tree method, and to establish a simple method for evaluating the risk of AKI in patients with HBV-ACLF.Methods The clinical data of patients with HBV-ACLF hospitalized in the Department of Infectious Diseases from 3 hospitals including the First People's Hospital of Foshan, Jiangmen Central Hospital and Shunde Hospital of Southern Medical University from January 2010 to June 2018 were collected and analyzed. The risk factors and high-risk population of AKI were investigated by classification tree method.Results The model for end-stage liver disease (MELD) score and age in AKI group were significantly higher than those in non-AKI group (31.6±9.0 vs 21.5±6.1, 51.0±14.3 vs 44.1±13.0), with significant difference (P<0.05). Multivariate logistic regression analysis suggested that MELD score (odds ratio [OR]=1.209, 95% confidence interval [CI]: 1.141-1.281) and age (OR=1.042, 95%CI: 1.012-1.072) were independent factors of AKI in patients with HBV-ACLF. The classification tree model suggested that the factors affecting AKI in patients with HBV-ACLF include MELD score and age. The total agreement rate of the classification tree model based on MELD score and age was 0.873, indicating that the classification tree model had a better fitting effect.Conclusion AKI in patients with HBV-ACLF is related to MELD score and age. And a simple classification tree model based on MELD score and age can be used to assess the risk of AKI in patients with HBV-ACLF.

Key words: Hepatitis B, Acute on chronic liver failure, Acute kidney injury, Classification tree, Risk factor, High-risk population