Meld calculator11/4/2023 United Network for Organ Sharing proposed that MELD-Na score (an extension of MELD) may better rank candidates based on their risk of pre-transplant mortality and is projected to save 50–60 lives total per year. A comparison between MELD 3.0, MELD-Plus, and other risk assessment scores in liver proposes approaches to more optimally allocate livers. Potential of alternative scores to extend life expectancy MELD-Plus was proposed as advantageous for patients with low MELD-Na scores. MELD-Plus was validated by using Explorys. MELD in predicting early acute kidney injury after liver transplantation. Ī study published in April 2018 in Surgery, Gastroenterology and Oncology reported on the increased accuracy of using MELD-Plus vs. other liver-related scores in a population admitted due to hepatic encephalopathy. Ī study presented in June 2019 in Semana Digestiva (Vilamoura, Portugal) demonstrated that MELD-Plus was superior to assess mortality at 180 days vs. External validation Ī call for an additional validation of MELD-Plus was published in November 2019 in the European Journal of Gastroenterology & Hepatology. Massachusetts General Hospital (Snapshot of Science). Harvard, IBM researchers develop prediction model for cirrhosis outcomes. IBM taps machine learning to predict cirrhosis mortality rates. Harvard researchers develop predictive model for cirrhosis outcomes. Developing a new score: how machine learning improves risk prediction. Ĭalculators capable of calculating MELD and MELD-Na are available. Calculators Ī calculator capable of comparing MELD, MELD-Na, and MELD-Plus is available. An example for a notable feature selection method is lasso (least absolute shrinkage and selection operator). In this approach, a feature selection machine learning algorithm observes a large collection of health records and identifies a small set of variables that could serve as the most efficient predictors for a given medical outcome. ![]() The development of MELD-Plus was based on using unbiased approach toward discovery of biomarkers. This yielded a performance close to the one of using all nine variables and resulted in the following associations with increased mortality: INR, creatinine, total bilirubin, sodium, WBC, albumin, and age. The variables include all Model for End-Stage Liver Disease (MELD)'s components, as well as sodium, albumin, total cholesterol, white blood cell count, age, and length of stay.īecause total cholesterol and hospital length of stay are typically not uniform factors across different hospitals and may vary in different countries, an additional model that included only seven of the nine variables was evaluated. The score includes nine variables as effective predictors for 90-day mortality after a discharge from a cirrhosis-related admission. MELD-Plus is a risk score to assess severity of chronic liver disease that was resulted from a collaboration between Massachusetts General Hospital and IBM. Uri Kartoun presenting MELD-Plus at Princeton University, November 2018
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