Frontiers in Microbiology (Dec 2022)

Prognosis prediction performs better in patients with non-cirrhosis hepatitis B virus-related acute-on-chronic liver failure than those with cirrhosis

  • Xia Yu,
  • Hai Li,
  • Hai Li,
  • Wenting Tan,
  • Xianbo Wang,
  • Xin Zheng,
  • Yan Huang,
  • Beiling Li,
  • Zhongji Meng,
  • Yanhang Gao,
  • Zhiping Qian,
  • Feng Liu,
  • Feng Liu,
  • Xiaobo Lu,
  • Jia Shang,
  • Huadong Yan,
  • Yubao Zheng,
  • Weituo Zhang,
  • Shan Yin,
  • Shan Yin,
  • Wenyi Gu,
  • Wenyi Gu,
  • Guohong Deng,
  • Xiaomei Xiang,
  • Yi Zhou,
  • Yixin Hou,
  • Qun Zhang,
  • Shue Xiong,
  • Jing Liu,
  • Ruochan Chen,
  • Liyuan Long,
  • Jinjun Chen,
  • Xiuhua Jiang,
  • Sen Luo,
  • Yuanyuan Chen,
  • Chang Jiang,
  • Jinming Zhao,
  • Liujuan Ji,
  • Xue Mei,
  • Jing Li,
  • Tao Li,
  • Rongjiong Zheng,
  • Xinyi Zhou,
  • Haotang Ren,
  • Jifang Sheng,
  • Yu Shi

DOI
https://doi.org/10.3389/fmicb.2022.1013439
Journal volume & issue
Vol. 13

Abstract

Read online

BackgroundThe accurate prediction of the outcome of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is impeded by population heterogeneity. The study aimed to assess the impact of underlying cirrhosis on the performance of clinical prediction models (CPMs).MethodsUsing data from two multicenter, prospective cohorts of patients with HBV-ACLF, the discrimination, calibration, and clinical benefit were assessed for CPMs predicting 28-day and 90-day outcomes in patients with cirrhosis and those without, respectively.ResultsA total of 919 patients with HBV-ACLF were identified by Chinese Group on the Study of Severe Hepatitis B (COSSH) criteria, including 675 with cirrhosis and 244 without. COSSH-ACLF IIs, COSSH-ACLFs, Chronic Liver Failure-Consortium Acute-on-Chronic Liver Failure score (CLIF-C ACLFs), Tongji Prognostic Predictor Model score (TPPMs), Model for End-Stage Liver Disease score (MELDs), and MELD-Sodium score (MELD-Nas) were all strong predictors of short-term mortality in patients with HBV-ACLF. In contrast to a high model discriminative capacity in ACLF without cirrhosis, each prognostic model represents a marked decline of C-index, net reclassification index (NRI), and integrated discrimination improvement (IDI) in predicting either 28-day or 90-day prognosis of patients with cirrhosis. The hazard analysis identified largely overlapping risk factors of poor outcomes in both subgroups, while serum bilirubin was specifically associated with short-term mortality in patients with cirrhosis and blood urea nitrogen in patients without cirrhosis. A subgroup analysis in patients with cirrhosis showed a decline of discrimination of CPMS in those with ascites or infections compared to that in those without.ConclusionPredicting the short-term outcome of HBV-ACLF by CPMs is optimal in patients without cirrhosis but limited in those with cirrhosis, at least partially due to the complicated ascites or infections.

Keywords