Background: The prognostic value of the model for end-stage liver disease (MELD) and sodium-based MELD variants in predicting survival following paracetamol overdose remains unclear.
Aim: To examine the prognostic accuracy of sodium-based MELD variants in paracetamol-induced acute liver injury compared with the sequential organ failure assessment (SOFA) score.
Methods: Retrospective analysis of 138 single time point paracetamol overdoses admitted to a tertiary liver centre. Individual laboratory samples were correlated with the corresponding clinical parameters in relation to time post-overdose, and the daily MELD, MELD-Na, MELDNa, MESO, iMELD, UKELD, updated MELD and SOFA scores were calculated.
Results: Sixty-six (47.8%) patients developed hepatic encephalopathy, of whom 7 were transplanted and 21 died without liver transplantation. SOFA had a significantly greater area under the receiver operator characteristic for the prediction of spontaneous survival compared with MELD at both 72 (P = 0.024) and 96 (P = 0.017) h post-overdose. None of the sodium-based MELD variants improved the prognostic accuracy of MELD. A SOFA score >6 by 72 h or >7 by 96 h, post-overdose predicted death/transplantation with a negative predictive value of 96.9 (95% CI 90.2-99.4) and 98.8 (95% CI 93.6-99.9) respectively. SOFA and MELD had similar accuracy for predicting the development of hepatic encephalopathy (P = 0.493).
Conclusions: The SOFA score is superior to MELD in predicting spontaneous survival following paracetamol-induced acute liver injury. Modification of the MELD score to include serum sodium does not improve prognostic accuracy in this setting. SOFA may have potential as a quantitative triage marker following paracetamol overdose.
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http://dx.doi.org/10.1111/j.1365-2036.2012.04996.x | DOI Listing |
Ann Gastroenterol
December 2024
First Department of Internal Medicine, Medical School, National and Kapodistrian University, Athens (Magdalini Adamantou, Nedia Georgia Petridou, Panagiotis Kalligiannakis, Christos Chologkitas, Michail Kalpoutzakis, Maria Christina Kavalaki, Dimitrios Glaros, Evangelinos Michelis, Apostolos Papageorgiou, Evangelos Cholongitas).
Background: The current allocation system for liver transplantation (LT) is based on the sickest-first policy, using objective variables to ensure equal priority. However, under-prioritization of female patients for LT, compared to males, is well demonstrated and new scores have been proposed to overcome this systematic bias. This study evaluated the ability of these new scores to predict the long-term outcomes of patients with cirrhosis.
View Article and Find Full Text PDFAcad Emerg Med
January 2025
Department of Emergency Medicine, Indiana University, Indianapolis, Indiana, USA.
Objective: Clinical decision instruments (CDIs) could be useful to aid risk stratification and disposition of emergency department (ED) patients with cirrhosis. Our primary objective was to derive and internally validate a novel Cirrhosis Risk Instrument for Stratifying Post-Emergency department mortality (CRISPE) for the outcomes of 14- and 30-day post-ED mortality. Secondarily, we externally validated the existing Model for End-Stage Liver Disease (MELD) scores for explicit use in ED patients and prediction of the same outcomes.
View Article and Find Full Text PDFLiver Int
October 2024
Department of Internal Medicine IV, Jena University Hospital, Jena, Germany.
Clin Res Hepatol Gastroenterol
October 2024
Department of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Background: Hepatic hydrothorax (HH) is a rare but severe manifestation of cirrhotic ascites. Whether HH development relates to ascites severity is uncertain and simple clinical models to predict HH from all stages of ascites are missing. The recently published CIRrhotic Ascites Severity (CIRAS) model using only ascites-related variables may serve this purpose.
View Article and Find Full Text PDFHepatology
November 2024
Departamento de Gastroenterología, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Background And Aims: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Existing prognostic models lack precision for 90-day mortality. Utilizing artificial intelligence in a global cohort, we sought to derive and validate an enhanced prognostic model.
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