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Integrative Prognostic Model of Inflammatory Markers for Predicting Outcomes in Acute-on-Chronic Liver Failure Patients Undergoing Artificial Liver Support Therapy

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NIAID Data Ecosystem2026-05-10 收录
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This study aims to investigate the relationship between inflammatory markers and ACLF of varying etiologies by systematically comparing the 90-day prognostic predictive performance of several inflammatory indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and systemic inflammation response index (SIRI). The analysis will be conducted in both viral and non-viral ACLF subgroups. The goal is to enhance etiology-directed individualized progn models and establish a theoretical foundation for targeted anti-inflammatory therapies tailored to specific patient subulations.

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2025-12-17
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