ArticleWorld journal of hepatology2025
Prognostic value of dynamic changes in C-reactive protein to albumin ratio in patients with acute-on-chronic liver failure.
Article in World journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Dynamic inflammation-based prognostication in acute-on-chronic liver failure: The COSSH-CAR model as a step forward in personalized risk stratification.World journal of hepatology · 2026Article
- A novel nomogram based on inflammatory indexes for predicting short-term prognosis in acute-on-chronic liver failure: a comparison with classical models.European journal of medical research · 2026Article
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2 authors.
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Abstract
backgroundAcute-on-chronic liver failure (ACLF) is a life-threatening syndrome associated with high short-term mortality. Accurate risk stratification is crucial for the management of ACLF.
aimTo evaluate the prognostic value of the C-reactive protein to albumin ratio (CAR) and its dynamic changes in patients with ACLF defined by the Chinese Group on Study of Severe Hepatitis B (COSSH) criteria.
methodsA total of 126 consecutive patients diagnosed with COSSH-ACLF were prospectively enrolled. CAR was calculated at admission and on days 4, 7, and 14. The primary and secondary outcomes were 28-day and 90-day mortality, respectively. Multivariate Cox regression analysis was conducted to identify independent predictors of mortality. A novel prognostic model (COSSH-CAR), integrating baseline and dynamic variables, was developed and compared with established prognostic scoring systems.
resultsThe 28-day and 90-day mortality rates were 27.8% and 40.5%, respectively. Baseline CAR was significantly higher in 28-day non-survivors than in survivors (2.68
conclusionDynamic changes in CAR during the first week provide important prognostic information in patients with COSSH-ACLF, surpassing baseline values and conventional inflammatory markers. The novel COSSH-CAR model improves risk stratification and may support clinical decision-making in the management of ACLF, pending external validation in diverse populations.
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