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Predictive formula for acute liver failure is useful for predicting the prognosis of patients with acute‐on‐chronic liver failure
Author(s) -
Kakisaka Keisuke,
Kataoka Kojiro,
Kuroda Hidekatsu,
Takikawa Yasuhiro
Publication year - 2016
Publication title -
hepatology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.123
H-Index - 75
eISSN - 1872-034X
pISSN - 1386-6346
DOI - 10.1111/hepr.12577
Subject(s) - medicine , liver failure , hepatic encephalopathy , gastroenterology , receiver operating characteristic , liver disease , chronic liver disease , stage (stratigraphy) , model for end stage liver disease , liver transplantation , cirrhosis , paleontology , transplantation , biology
Aim The prognosis of acute‐on‐chronic liver failure (ACLF) is extremely poor in comparison to acute liver failure (ALF). We aimed to establish methods for the early diagnosis of ACLF and its severity to identify the patients with a poor prognosis. Methods The laboratory data at admission of 30 ACLF and 46 ALF patients were compared. Three established prognosis prediction models (Model for End‐Stage Liver Disease [MELD]; MELD modified by serum sodium concentration, [MELD‐Na]; and the Japan hepatic encephalopathy prediction model [J‐HEPM]) were assessed using area under the receiver–operator curve (AUROC) values. Results No significant difference was found in the laboratory data of the two patient groups. J‐HEPM was able to predict the outcome of the ACLF subjects (AUROC = 0.93). Conclusion Although ACLF could not be differentially diagnosed from ALF at admission from the laboratory data alone, the J‐HEPM effectively predicted the prognosis of liver failure in patients with ACLF. These findings indicate that ACLF patients with high J‐HEPM scores require earlier and more intensive care than ALF patients.