AIMC Topic: Acute-On-Chronic Liver Failure

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Construction and validation of HBV-ACLF bacterial infection diagnosis model based on machine learning.

BMC infectious diseases Jul 1, 2025
OBJECTIVE: To develop and validate a novel diagnostic model for detecting bacterial infections in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) using advanced machine learning algorithms. The focus is on improving ...
Male Middle Aged China Female Adult Logistic Models Acute-On-Chronic Liver Failure Bacterial Infections ROC Curve Hepatitis B virus Hepatitis B Humans Machine Learning Algorithms Retrospective Studies
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The Liver Intensive Care Unit.

Clinics in liver disease Jan 30, 2025
Major advances in managing critically ill patients with liver disease have improved their prognosis and access to intensive care facilities. Acute-on-chronic liver failure (ACLF) is now a well-defined disease and these patients can be fast-tracked fo...
Artificial Intelligence Critical Illness Intensive Care Units Critical Care Humans Liver Diseases Plasma Exchange Acute-On-Chronic Liver Failure Liver Transplantation
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Association between serum endocan levels and organ failure in hospitalized patients with cirrhosis.

PloS one Dec 26, 2024
BACKGROUND & AIMS: Acute-on-chronic liver failure is a syndrome characterized by organ failure and high short-term mortality. The lack of reliable biomarkers for the early detection of acute-on-chronic liver failure is a significant challenge. Endoth...
Proteoglycans Neoplasm Proteins Acute-On-Chronic Liver Failure ROC Curve Liver Cirrhosis Female Procalcitonin Prospective Studies Humans Aged Hospitalization Biomarkers Multiple Organ Failure Male Interleukin-6 Prognosis Middle Aged
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Identification of four novel acute-on-chronic liver failure clusters with distinct clinical trajectories and mortality using machine learning methods.

Alimentary pharmacology & therapeutics Sep 23, 2024
BACKGROUND AND AIMS: Machine learning (ML) can identify the hidden patterns without hypothesis in heterogeneous diseases like acute-on-chronic live failure (ACLF). We employed ML to describe and predict yet unknown clusters in ACLF.
Algorithms Prognosis Female Humans Machine Learning Cluster Analysis Acute-On-Chronic Liver Failure Middle Aged Adult Severity of Illness Index Male Latent Class Analysis
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Predicting the 28-day prognosis of acute-on-chronic liver failure patients based on machine learning.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Jul 14, 2024
BACKGROUND: We aimed to establish a prognostic predictive model based on machine learning (ML) methods to predict the 28-day mortality of acute-on-chronic liver failure (ACLF) patients, and to evaluate treatment effectiveness.
China ROC Curve Acute-On-Chronic Liver Failure Middle Aged Severity of Illness Index Area Under Curve Retrospective Studies Female Aged Adult Male Humans Machine Learning Prognosis
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Artificial neural network-based models used for predicting 28- and 90-day mortality of patients with hepatitis B-associated acute-on-chronic liver failure.

BMC gastroenterology Mar 13, 2020
BACKGROUND: This study aimed to develop prognostic models for predicting 28- and 90-day mortality rates of hepatitis B virus (HBV)-associated acute-on-chronic liver failure (HBV-ACLF) through artificial neural network (ANN) systems.
Humans Prothrombin Time Hepatic Encephalopathy Neural Networks, Computer Prognosis Retrospective Studies Female Acute-On-Chronic Liver Failure Sodium Risk Factors Male Hepatitis B e Antigens gamma-Glutamyltransferase Adult Hepatitis B Alkaline Phosphatase Bilirubin Age Factors
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