4.5 Article

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

Journal

JHEP REPORTS
Volume 4, Issue 10, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jhepr.2022.100529

Keywords

acutely decompensated cirrhosis; acute-on-chronic liver failure; hepatitis B virus; precipitants; prediction model

Funding

  1. Shanghai Hospital Development Commission [SHDC2020CR1037B]
  2. National Key R&D Program of China [2017YFC0908100]
  3. National Science and Technology Major Project [2018ZX10302206, 2018ZX10723203, 2017ZX10202202]
  4. National Natural Science Foundation of China [8217032461, 82170629, 81930061, 81900579, 81970550, 82070613, 82070650, 81972265, 81870425, 81774234]
  5. Chongqing Natural Science Foundation [CSTC2019jcyj-zdxmX0004]
  6. Beijing Municipal Science & Technology Commission [Z191100006619033]
  7. Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program [2017BT01S131]
  8. Clinical Research Program of Nanfang Hospital, Southern Medical University [2018CR037, 2020CR026]
  9. High-level University Construction Funding of Guangdong Provincial Department of Education [LC2019ZD006]
  10. President Foundation of Nanfang Hospital, Southern Medical University [2019Z003]
  11. Foundation for Innovative Research Groups of Hubei Provincial Natural Science Foundation [2018CFA031]
  12. Hubei Province's Outstanding Medical Academic Leader Program and Project of Hubei University of Medicine [FDFR201902, 2020XGFYZR05]
  13. Fundamental Research Funds for the Central Universities [2021FZZX001-41]
  14. Guangdong Basic and Applied Basic Research Foundation [2020A1515010052]
  15. Natural Fund of Guangdong Province [2016A030313237]
  16. Guangzhou City Science and Technology Project [201607010064]
  17. Shanghai Municipal Education Commission-Guofeng Clinical Medicine Grant Support

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This study identified three distinct clinical courses of patients with acute decompensation in HBV-related cirrhosis and developed a prediction model for ACLF using precipitants, indicators of inflammation, and organ injuries, showing high predictive value and potential clinical utility.
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. 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).(C) 2022 The Author(s). Published by Elsevier B.V. on behalf of European Association for the Study of the Liver (EASL).

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