Wang T, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Yan H, Zheng Y, Zhang W, Yin S, Gu W, Zhang Y, Dong F, Wei J, Deng G, Xiang X, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Long L, Chen R, Chen J, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Shi Y, Li H. Role of precipitants on transition of acute decompensation to acute-on-chronic liver failure in patients with HBV-related cirrhosis.
JHEP Rep 2022;
4:100529. [PMID:
36052222 PMCID:
PMC9424579 DOI:
10.1016/j.jhepr.2022.100529]
[Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 06/14/2022] [Indexed: 12/13/2022] Open
Abstract
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).
Three distinct clinical trajectories were validated in patients with HBV-related cirrhosis.
Specific precipitants were associated with an increased risk of developing ACLF.
Models incorporating precipitants performed better for the prediction of ACLF development.
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