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Validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis
BACKGROUND: MELD 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 s...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425128/ https://www.ncbi.nlm.nih.gov/pubmed/32787947 http://dx.doi.org/10.1186/s12876-020-01407-8 |
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author | Dziodzio, Tomasz Öllinger, Robert Schöning, Wenzel Rothkäppel, Antonia Nikolov, Radoslav Juraszek, Andrzej Ritschl, Paul V. Stockmann, Martin Pratschke, Johann Jara, Maximilian |
author_facet | Dziodzio, Tomasz Öllinger, Robert Schöning, Wenzel Rothkäppel, Antonia Nikolov, Radoslav Juraszek, Andrzej Ritschl, Paul V. Stockmann, Martin Pratschke, Johann Jara, Maximilian |
author_sort | Dziodzio, Tomasz |
collection | PubMed |
description | BACKGROUND: MELD 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. METHODS: Liver 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. RESULTS: Alcoholic 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. CONCLUSION: The 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. |
format | Online Article Text |
id | pubmed-7425128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74251282020-08-16 Validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis Dziodzio, Tomasz Öllinger, Robert Schöning, Wenzel Rothkäppel, Antonia Nikolov, Radoslav Juraszek, Andrzej Ritschl, Paul V. Stockmann, Martin Pratschke, Johann Jara, Maximilian BMC Gastroenterol Research Article BACKGROUND: MELD 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. METHODS: Liver 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. RESULTS: Alcoholic 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. CONCLUSION: The 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. BioMed Central 2020-08-12 /pmc/articles/PMC7425128/ /pubmed/32787947 http://dx.doi.org/10.1186/s12876-020-01407-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Dziodzio, Tomasz Öllinger, Robert Schöning, Wenzel Rothkäppel, Antonia Nikolov, Radoslav Juraszek, Andrzej Ritschl, Paul V. Stockmann, Martin Pratschke, Johann Jara, Maximilian Validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis |
title | Validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis |
title_full | Validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis |
title_fullStr | Validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis |
title_full_unstemmed | Validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis |
title_short | Validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis |
title_sort | validation of a new prognostic model to predict short and medium-term survival in patients with liver cirrhosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425128/ https://www.ncbi.nlm.nih.gov/pubmed/32787947 http://dx.doi.org/10.1186/s12876-020-01407-8 |
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