Combining Data from Liver Disease Scoring Systems Better Predicts Outcomes of Patients with Alcoholic Hepatitis.
- Louvet, Alexandre
- Labreuche, Julien
- Artru, Florent
- Boursier, Jérôme
- Kim, Dong Joon
- O'Grady, John
- Trepo, Eric
- Nahon, Pierre
- Ganne-Carrie, Nathalie
- Naveau, Sylvie
- Carithers, Robert RL
- Diaz, Emmanuel
- Gustot, Thierry
- Lassailly, Guillaume
- Cannesson-Leroy, Amélie
- Canva-Delcambre, Valérie
- Dharancy, Sébastien
- Park, Seung Ha
- Moreno, Christophe
- Morgan, Timothy R
- Duhamel, Alain
- Mathurin, Philippe
Publication date
April 2015
DOI Publisher
Elsevier BV ISSN
0016-5085 Citation count (estimate)
40Abstract
& Aims: Several models have been used to determine prognoses of patients with alcoholic hepatitis. These include static systems (the Maddrey discriminant function; the age, bilirubin, international normalized ratio, creatinine [ABIC] score; and model for end-stage liver disease [MELD] score) and dynamic models (the Lille model). We aimed to combine features of all these models to develop a better method to predict outcomes of patients with alcoholic hepatitis.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
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