JHEP Reports (Oct 2022)

Role of precipitants in transition of acute decompensation to acute-on-chronic liver failure in patients with HBV-related cirrhosis

  • Tongyu Wang,
  • Wenting Tan,
  • Xianbo Wang,
  • Xin Zheng,
  • Yan Huang,
  • Beiling Li,
  • Zhongji Meng,
  • Yanhang Gao,
  • Zhiping Qian,
  • Feng Liu,
  • Xiaobo Lu,
  • Huadong Yan,
  • Yubao Zheng,
  • Weituo Zhang,
  • Shan Yin,
  • Wenyi Gu,
  • Yan Zhang,
  • Fuchen Dong,
  • Jianyi Wei,
  • Guohong Deng,
  • Xiaomei Xiang,
  • Yi Zhou,
  • Yixin Hou,
  • Qun Zhang,
  • Shue Xiong,
  • Jing Liu,
  • Liyuan Long,
  • Ruochan Chen,
  • 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,
  • Yu Shi,
  • Hai Li

Journal volume & issue
Vol. 4, no. 10
p. 100529

Abstract

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Background & Aims: Pre-acute-on-chronic liver failure (ACLF) is a distinct intermediate stage between acute decompensation (AD) and ACLF. However, identifying patients with pre-ACLF and predicting progression from AD to ACLF is difficult. This study aimed to identify pre-ACLF within 28 days, and to develop and validate a prediction model for ACLF in patients with HBV-related decompensated cirrhosis. Methods: In total, 1,736 patients with HBV-related cirrhosis and AD were enrolled from 2 large-scale, multicenter, prospective cohorts. ACLF occurrence within 28 days, readmission, and 3-month and 1-year outcomes were collected. Results: Among 970 patients with AD without ACLF in the derivation cohort, the 94 (9.6%) patients with pre-ACLF had the highest 3-month and 1-year LT-free mortality (61.6% and 70.9%, respectively), which was comparable to those with ACLF at enrollment (57.1% and 67.1%); the 251 (25.9%) patients with unstable decompensated cirrhosis had mortality rates of 22.4% and 32.1%, respectively; while the 507 (57.9%) patients with stable decompensated cirrhosis had the best outcomes (1-year mortality rate of 2.6%). Through Cox proportional hazard regression, specific precipitants, including hepatitis B flare with HBV reactivation, spontaneous hepatitis B flare with high viral load, superimposed infection on HBV, and bacterial infection, were identified to be significantly associated with ACLF occurrence in the derivation cohort. A model that incorporated precipitants, indicators of systemic inflammation and organ injuries reached a high C-index of 0.90 and 0.86 in derivation and validation cohorts, respectively. The optimal cut-off value (0.22) differentiated high-risk and low-risk patients, with a negative predictive value of 0.95. Conclusions: Three distinct clinical courses of patients with AD are validated in the HBV-etiology population. The precipitants significantly impact on AD-ACLF transition. A model developed by the precipitant–systemic inflammation–organ injury framework could be a useful tool for predicting ACLF occurrence. Clinical trial number: NCT02457637 and NCT03641872. Lay summary: It was previously shown that patients with decompensated cirrhosis could be stratified into 3 groups based on their short-term clinical prognoses. Herein, we showed that this stratification applies to patients who develop cirrhosis as a result of hepatitis B virus infection. We also developed a precipitant-based model (i.e. a model that incorporated information about the exact cause of decompensation) that could predict the likelihood of these patients developing a very severe liver disease called acute-on-chronic liver failure (or ACLF).

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