Lew CCH, et al. – Researchers investigated whether mortality risk in critically ill patients can be accurately predicted by a prognostic model that combines nutritional status and disease severity in this study. They also assessed the efficacy of the model to classify critically ill patients into low- and high-risk groups. They determined if the link between dose of nutrition support and mortality risk could be altered by risk categories in critically ill patients placed on exclusive nutritional support (ENS). From a prospective cohort study of 440 patients, a prognostic model to predict 28-day mortality was developed, which showed good discrimination. The investigators concluded that an accurate prediction of 28-day mortality can be made by combining baseline nutritional status and disease severity in a prognostic model. However, the link between the dose of nutrition support during the first 6 days of ENS and 28-day death was not dependent on baseline disease severity and nutritional status.