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Ann Hepatol ; 15(2): 236-45, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-26845601

RESUMEN

UNLABELLED:  Background. Acute-on-chronic liver failure has high mortality. Currently, robust models for predicting the outcome of hepatitis B virus (HBV)-associated ACLF are lacking. AIM: To assess and compare the performance of six prevalent models for short- and longterm prognosis in patients with HBV-ACLF. MATERIAL AND METHODS: The model for end-stage liver disease (MELD), MELD sodium (MELD-Na), MELD to sodium ratio (MESO), integrated MELD, Child-Turcotte-Pugh (CTP), and modified CTP (mCTP) were validated in a prospective cohort of 232 HBV-ACLF patients. The six models were evaluated by determining discrimination, calibration and overall performance at 3 months and 5 years. RESULTS: According to the Hosmer-Lemeshow tests and calibration plots, all models could adequately describe the data except CTP at 3 months. Discrimination analysis showed that the iMELD score had the highest AUC of 0.76 with sensitivity of 62.6% and specificity of 80.2% for an optimal cut-off value of 52 at 3 months. It also had the highest AUC of 0.80 with sensitivity of 89.9% and specificity of 48.2% for an optimal cut-off value of 43 at 5 years. The overall performance of iMELD, assessed with Nagelkerke's R2 and the Brier score, was also the best among the six models. CONCLUSION: Integrated MELD may be the best model to predict short- and long-term prognosis in patients with HBV-ACLF.


Asunto(s)
Insuficiencia Hepática Crónica Agudizada/mortalidad , Hepatitis B Crónica/mortalidad , Insuficiencia Hepática Crónica Agudizada/sangre , Insuficiencia Hepática Crónica Agudizada/complicaciones , Adulto , Factores de Edad , Anciano , China , Estudios de Cohortes , Análisis Discriminante , Enfermedad Hepática en Estado Terminal , Femenino , Hepatitis B Crónica/sangre , Hepatitis B Crónica/complicaciones , Humanos , Masculino , Persona de Mediana Edad , Pronóstico , Estudios Prospectivos , Índice de Severidad de la Enfermedad , Sodio/sangre , Adulto Joven
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