Research advances in prognostic score models and biomarkers for acute-on-chronic liver failure
- VernacularTitle:慢加急性肝衰竭预后评分模型和标志物研究进展
- Author:
Xinyi XU
1
;
Xia YU
1
;
Huilan TU
1
;
Xiaohan QIAN
1
;
Yida YANG
1
;
Yu SHI
1
Author Information
- Publication Type:Journal Article
- Keywords: Acute-On-Chronic Liver Failure; Prognosis; Biomarkers; Models， Statistical
- From: Journal of Clinical Hepatology 2025;41(6):1030-1036
- CountryChina
- Language:Chinese
- Abstract: Acute-on-chronic liver failure （ACLF） is a complex clinical syndrome， and early identification and accurate prognostic evaluation are of great importance for patient treatment and management. In recent years， with in-depth research on the pathogenesis of ACLF， multiple prognostic biomarkers have been proposed and used in clinical practice. This article systematically reviews the research advances in prognostic biomarkers for ACLF from the aspects of clinical predictive models， immunological biomarkers， metabolic biomarkers， genetic and epigenetic biomarkers， microbiome-related biomarkers， and emerging technologies such as artificial intelligence and multi-omics， and it also discusses the value and application prospects of these biomarkers in the prognostic evaluation of ACLF and proposes future research directions， in order to provide a scientific and comprehensive reference for clinicians， guide individualized treatment and management of ACLF patients， and finally improve the clinical outcomes of patients.
