ArticlePloS one2017
The MELD-Plus: A generalizable prediction risk score in cirrhosis.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Renal Dysfunction and Serum Sodium-Based Risk Stratification for In-Hospital Mortality in Liver Cirrhosis.Medicina (Kaunas, Lithuania) · 2026Article
- From MASLD to MELD 3.0: Integrating the Spectrum of Liver Disease Risk Stratification into Primary Care.The Eurasian journal of medicine · 2026Article
- Artificial intelligence in hepatopathy diagnosis and treatment: Big data analytics, deep learning, and clinical prediction models.World journal of gastroenterology · 2025Review
- Ascites complications risk factors of decompensated cirrhosis patients: logistic regression and prediction model.BMC gastroenterology · 2025Article
- Interaction between age and blood urea nitrogen to creatinine ratio on mortality in patients with severe cirrhosis: a retrospective cohort study from the MIMIC database.Frontiers in endocrinology · 2025Article
- PERFORMANCE OF SIX PREDICTIVE MODELS OF DEATH OF PATIENTS HOSPITALIZED FOR DECOMPENSATED CIRRHOSIS: A MULTICENTER STUDY.Arquivos de gastroenterologia · 2025Article
- Survival of Patients with Alcohol-Related Liver Disease Cirrhosis-Usefulness of the New Liver Mortality Inpatients Prognostic Score.Diagnostics (Basel, Switzerland) · 2024Article
- A Novel Scoring System for Assessing In-Hospital Mortality Risk in Patients With Liver Cirrhosis.Cureus · 2024Article
- Physiological network approach to prognosis in cirrhosis: A shifting paradigm.Physiological reports · 2024Review
- A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals.Scientific reports · 2024Article
- Development and validation of a practical machine learning model to predict sepsis after liver transplantation.Annals of medicine · 2023Article
- Scoring system for predicting 90-day mortality of in-hospital liver cirrhosis patients at Cipto Mangunkusumo Hospital.BMC gastroenterology · 2023Article
- Quantitative Analysis of Liver Disease Using MRI-Based Radiomic Features of the Liver and Spleen.Journal of imaging · 2022Article
- Prediction performance and fairness heterogeneity in cardiovascular risk models.Scientific reports · 2022Article
- "Beyond MELD" - Emerging strategies and technologies for improving mortality prediction, organ allocation and outcomes in liver transplantation.Journal of hepatology · 2022Review
- Evolution of liver transplant organ allocation policy: Current limitations and future directions.World journal of hepatology · 2021Review
- MRI-based radiomic feature analysis of end-stage liver disease for severity stratification.International journal of computer assisted radiology and surgery · 2021Article
- Electronic Medical Record-Based Case Phenotyping for the Charlson Conditions: Scoping Review.JMIR medical informatics · 2021Article
- Genetic Predictor to Identify Individuals With High Lipoprotein(a) Concentrations.Circulation. Genomic and precision medicine · 2021Article
- Serum lactate level predicts 6-months mortality in patients with hepatitis B virus-related decompensated cirrhosis: a retrospective study.Epidemiology and infection · 2021Article
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7 authors.
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Abstract
BACKGROUND AND
aimsAccurate assessment of the risk of mortality following a cirrhosis-related admission can enable health-care providers to identify high-risk patients and modify treatment plans to decrease the risk of mortality.
methodsWe developed a post-discharge mortality prediction model for patients with a cirrhosis-related admission using a population of 314,292 patients who received care either at Massachusetts General Hospital (MGH) or Brigham and Women's Hospital (BWH) between 1992 and 2010. We extracted 68 variables from the electronic medical records (EMRs), including demographics, laboratory values, diagnosis codes, and medications. We then used a regularized logistic regression to select the most informative variables and created a risk score that comprises the selected variables. To evaluate the potential for generalizability of our score, we applied it on all cirrhosis-related admissions between 2010 and 2015 at an independent EMR data source of more than 18 million patients, pooled from different health-care systems with EMRs. We calculated the areas under the receiver operating characteristic curves (AUROCs) to assess prediction performance.
resultsWe identified 4,781 cirrhosis-related admissions at MGH/BWH hospitals, of which 778 resulted in death within 90 days of discharge. Nine variables were the most effective predictors for 90-day mortality, and these included all MELD-Na's components, as well as albumin, total cholesterol, white blood cell count, age, and length of stay. Applying our nine-variable risk score (denoted as "MELD-Plus") resulted in an improvement over MELD and MELD-Na scores in several prediction models. On the MGH/BWH 90-day model, MELD-Plus improved the performance of MELD-Na by 11.4% (0.78 [95% CI, 0.75-0.81] versus 0.70 [95% CI, 0.66-0.73]). In the MGH/BWH approximate 1-year model, MELD-Plus improved the performance of MELD-Na by 8.3% (0.78 [95% CI, 0.76-0.79] versus 0.72 [95% CI, 0.71-0.73]). Performance improvement was similar when the novel MELD-Plus risk score was applied to an independent database; when considering 24,042 cirrhosis-related admissions, MELD-Plus improved the performance of MELD-Na by 16.9% (0.69 [95% CI, 0.69-0.70] versus 0.59 [95% CI, 0.58-0.60]).
conclusionsWe developed a new risk score, MELD-Plus that accurately stratifies the short-term mortality of patients with established cirrhosis, following a hospital admission. Our findings demonstrate that using a small set of easily accessible structured variables can help identify novel predictors of outcomes in cirrhosis patients and improve the performance of widely used traditional risk scores.
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