Literature DB >> 32573818

MELD remains the best predictor of mortality in outpatients with cirrhosis and severe ascites.

Peter Jepsen1,2, Hugh Watson1,3, Stewart Macdonald4, Hendrik Vilstrup1, Rajiv Jalan4.   

Abstract

BACKGROUND: The Model for Endstage Liver Disease (MELD) score may put patients with severe ascites at a disadvantage because they often have a poor quality of life and high mortality despite a favourable MELD score. AIM: To develop a model that is better than the MELD score at predicting 1-year mortality among patients with cirrhosis, severe ascites and MELD ≤18.
METHODS: We used data from a randomised trial (SPARe-1) of patients with cirrhosis and severe ascites to develop a model to predict 1-year mortality. We used stepwise backward elimination and Cox regression to identify the strongest predictors. Performance was assessed with the C index and the Brier score. We examined performance in an external cohort of trial participants with cirrhosis and severe ascites (SPARe-2 participants).
RESULTS: We included 308 patients with a 1-year mortality of 20.4%. The final prediction model (Severe Ascites Mortality score, "SAM score") included four variables: serum bilirubin, serum sodium, history of SBP (yes or no) and diabetes (yes or no). No indicators of quality of life were included. After correction for optimism bias, the SAM and MELD scores had nearly identical predictive ability. The external validation cohort included 149 patients whose 1-year mortality was 22.4%. The MELD score performed marginally better in this cohort, partly because the effects of SBP and diabetes on mortality were much smaller in this cohort.
CONCLUSION: We did not succeed in developing a prediction model that was superior to the MELD score among patients with cirrhosis and severe ascites.
© 2020 John Wiley & Sons Ltd.

Entities:  

Year:  2020        PMID: 32573818     DOI: 10.1111/apt.15882

Source DB:  PubMed          Journal:  Aliment Pharmacol Ther        ISSN: 0269-2813            Impact factor:   8.171


  2 in total

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Authors:  Yue Zhang; Nanxi Xiao; Qi Liu; Yuan Nie; Xuan Zhu
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  2 in total

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