Comparative Study of Novel Prognostic Scores in Patients With Liver Cirrhosis

Liver Cirrhosis

1. To determine the prognostic performance of novel scores in predicting complications and in-hospital mortality in patients with liver cirrhosis. 2. To compare the accuracy of these scores in identifying high risk patients relative to the standard scores.

* Liver cirrhosis represents the end stage of chronic liver diseases and remains a major global health burden, accounting for over 1 million deaths annually. * It is characterized by progressive fibrosis, nodular regeneration, and architectural distortion of the liver parenchyma, ultimately leading to liver dysfunction and portal hypertension * Once acute decompensation occurs the prognosis significantly worsens, with a sharp increase in short-term mortality * Accurate outcome prediction in cirrhotic patients is essential for guiding early interventions, allocating healthcare resources, and prioritizing liver transplant listing. * Traditional prognostic scores, such as the Child-Turcotte Pugh (CTP) and Model for End-Stage Liver Disease (MELD), have important limitations. * CTP includes subjective variables, while MELD may not fully reflect clinical deterioration in early decompensation * MELD is widely used to predict the short-term mortality in patients with cirrhosis, but potential limitations of this score have been reported. * An integrated MELD model (iMELD) including serum sodium and age improves the prediction of early mortality in patients with cirrhosis The Chronic Liver Failure Consortium Acute Decompensation (CLIF-C AD) score, introduced by European Association for the Study of the Liver (EASL), was specifically designed for hospitalized patients with acute decompensation (without Faculty of Medicine Institutional Review Board (IRB) Assiut Medical School Research Proposal Form 3 ACLF). It incorporates age, white blood cell count, and organ function to better stratify risk * Recently, newer prognostic models such as the ADRECIA score have been developed, incorporating variables such as inflammatory markers and kidney function. These models aim to further refine risk stratification in cirrhosis, especially in early decompensation, before organ failure sets in * Although these novel scores show promise in identifying patients at high risk for deterioration or death, direct comparisons in real-world clinical settings are lacking. * Understanding their relative performance could help optimize the management of hospitalized patients with AD cirrhosis, thereby facilitating early clinical decision-making, optimizing patient outcomes, and potentially improving resource allocation in hepatology care settings.

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