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The Model for End-Stage Liver Disease, or MELD, is a scoring system for assessing the severity of chronic liver disease.It was initially developed to predict mortality within three months of surgery in patients who had undergone a transjugular intrahepatic portosystemic shunt (TIPS) procedure, [1] and was subsequently found to be useful in determining prognosis and prioritizing for receipt of ...
A call for an additional validation of MELD-Plus was published in November 2019 in the European Journal of Gastroenterology & Hepatology. [13]A study presented in June 2019 in Semana Digestiva [14] (Vilamoura, Portugal) demonstrated that MELD-Plus was superior to assess mortality at 180 days vs. other liver-related scores in a population admitted due to hepatic encephalopathy.
Higher UKELD scores equate to higher one-year mortality risk. A UKELD score of 49 indicates a 9% one-year risk of mortality, and is the minimum score required to be added to the liver transplant waiting list in the U.K. [1] A UKELD score of 60 indicates a 50% chance of one-year survival. [2]
MDCalc is a free online medical reference for healthcare professionals that provides point-of-care clinical decision-support tools, including medical calculators, scoring systems, and algorithms. [1]
The King's College criteria were described in a seminal publication in 1989 by J.G. O'Grady and colleagues from King's College School of Medicine. [2] 588 patients with acute liver failure who presented to King's College Hospital from 1973 to 1985 were assessed retrospectively to determine if there were particular clinical features or tests that correlated poorly with prognosis.
The Maddrey DF score is a predictive statistical model compares the subject's DF score with mortality prognosis within 30-day or 90-day scores. [clarification needed] The subject's Maddrey DF score is determined by blood analysis.
Pediatric end-stage liver disease (PELD) is a disease severity scoring system for children under 12 years of age. [1] It is calculated from the patient's albumin, bilirubin, and international normalized ratio (INR) together with the patient's age and degree of growth failure.
The IPSS-M model can handle missing data and allows for the score to be applied in diagnostic settings in which not all mutations can be tested. [2] The IPSS-M model is useful for the risk stratification of patients with MDS to predict leukemia-free survival, overall survival, and risk of leukemic transformation.