ArticleBMC gastroenterology2020
Validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis.
Article in BMC gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 9 citations in OpenAlex.
- Review
- Development and evaluation of a predictive model of upper gastrointestinal bleeding in liver cirrhosis.BMC gastroenterology · 2025Article
- Anti-Inflammatory Drugs for Alcoholic Liver Disease: A Systematic Review on Survival and Adverse Events.International journal of hepatology · 2025Review
- Machine Learning for Short-Term Mortality in Acute Decompensation of Liver Cirrhosis: Better than MELD Score.Diagnostics (Basel, Switzerland) · 2024Article
- Validation of Dynamic Aspartate-to-Alanine Aminotransferase Ratio for Predicting Liver Disease Mortality.Hepatology communications · 2022Article
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10 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMELD score and MELD score derivates are used to objectify and grade the risk of liver-related death in patients with liver cirrhosis. We recently proposed a new predictive model that combines serum creatinine levels and maximum liver function capacity (LiMAx®), namely the CreLiMAx risk score. In this validation study we have aimed to reproduce its diagnostic accuracy in patients with end-stage liver disease.
methodsLiver function of 113 patients with liver cirrhosis was prospectively investigated. Primary end-point of the study was liver-related death within 12 months of follow-up.
resultsAlcoholic liver disease was the main cause of liver disease (n = 51; 45%). Within 12 months of follow-up 11 patients (9.7%) underwent liver transplantation and 17 (15.1%) died (13 deaths were related to liver disease, two not). Measures of diagnostic accuracy were comparable for MELD, MELD-Na and the CreLiMAx risk score as to power in predicting short and medium-term mortality risk in the overall cohort: AUROCS for liver related risk of death were for MELD [6 months 0.89 (95% CI 0.80-0.98) p < 0.001; 12 months 0.89 (95% CI 0.81-0.96) p < 0.001]; MELD-Na [6 months 0.93 (95% CI 0.85-1.00) p < 0.001 and 12 months 0.89 (95% CI 0.80-0.98) p < 0.001]; CPS 6 months 0.91 (95% CI 0.85-0.97) p < 0.01 and 12 months 0.88 (95% CI 0.80-0.96) p < 0.001] and CreLiMAx score [6 months 0.80 (95% CI 0.67-0.96) p < 0.01 and 12 months 0.79 (95% CI 0.64-0.94) p = 0.001]. In a subgroup analysis of patients with Child-Pugh Class B cirrhosis, the CreLiMAx risk score remained the only parameter significantly differing in non-survivors and survivors. Furthermore, in these patients the proposed score had a good predictive performance.
conclusionThe CreLiMAx risk score appears to be a competitive and valid tool for estimating not only short- but also medium-term survival of patients with end-stage liver disease. Particularly in patients with Child-Pugh Class B cirrhosis the new score showed a good ability to identify patients not at risk of death.
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