Hepatology Elsewhereand validated an early dynamic model for predicting outcome in patients with ALF that includes change in ammonia levels. The results of this model have also been published recently (the succeeding abstract and comment). 3 Serial ammonia level measurements are likely to forms a useful component of assessment of patients with ALF and contribute to decision-making in relation to prognosis. They have shown that declining level may predict lesser complications and that it is the persistence of hyperammonemia, which is associated with poorer prognosis. A weakness of the study, as also pointed out by the authors, was that the diagnosis of cerebral edema was based on clinical parameters rather than invasive monitoring. While persistent hyperammonemia on serial measurements looks attractive to stratify patients with ALF, it may fail to identify a significant proportion of patients who would not survive without liver transplantation. Although serial ammonia levels are unlikely to replace the current prognostic criteria for ALF, they can be either used as a supplemental marker to enhance the performance of the existing prognostic criteria for ALF, or could be considered for inclusion in future prognostic criteria which would require validation. Acharya research team has considered the latter approach and prospectively derivated
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AbstractObjective: It is difficult to predict the outcome in patients with acute liver failure (ALF) using existing prognostic models. This study investigated whether early changes in the levels of dynamic variables can predict outcome better than models based on static baseline variables. Design: 380 patients with ALF (derivation cohort n = 244, validation cohort n = 136) participated in a prospective observational study. The derivation cohort was used to identify predictors of mortality. The ALF early dynamic (ALFED) model was constructed based on whether the levels of predictive variables remained persistently high or increased over 3 days above the discriminatory cut-off values identified in this study.
COMMENTIdentifying patients with acute liver failure (ALF) who will not survive without liver transplantation is a challenge. Numerous prognostic models have been proposed, notable among which are the King's College Hospital criteria 1 and model for end-stage liver disease (MELD) 2 and two such models from India by Acharya et al 3 and Dhiman et al. 4 The existing prognostic models are based on admission parameters and do not take into account the dynamicity of the illness and hence have poor efficacy in predicting outcome in ALF.Kumar et al 5 have developed and validated a prognostic model, the ALF early dynamic (ALFED) model based on early dynamicity of four variables: arterial ammonia, international normalized ratio, serum bilirubin, and hepatic encephalopathy. The ALFED model is shown in Table 1. The four-variable ALFED model has risk scores varying from 0 to 6. Based on the risk score and associated risk of mortality, patients were stratified into three risk...