Jozsef Homlok

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BACKGROUND The changes in metabolic pathways and metabolites due to critical illness result in a highly complex and dynamic metabolic state, making safe, effective management of hyperglycemia and hypoglycemia difficult. In addition, clinical practices can vary significantly, thus making GC protocols difficult to generalize across units.The aim of this study(More)
During liver transplantation (LT) the glucose metabolism is effected by a crucial disturbance. The blood glucose level is extremely hard to control by conventional clinical protocols during this phase. Model based approach can enhance the blood glucose control during the anhepatic phase (absence of liver) and post-anhepatic phase. The physiological(More)
In liver transplantation (LT) well defined increase of blood glucose (BG) level can be observed after the revas-cularization of allografted liver, which is followed by a highly variable BG level period. Managing the BG level in the normo-glycemic range would cause a positive effect on the outcomes of the surgery. Model-based approach may lead us to design(More)
Nowadays it is a frequent problem that, the infrastructure-development of land transportation comes up against space limits in many cases, moreover the growth of traffic doesn't slack up. This is particularly typical for urban traffic, effecting traffic jams, lags; not to mention the problem of air pollution. In this case the requirements of sustainable(More)
During liver-transplantation (LT) a tight glycemic control protocol can improve the clinical outcomes. The ICING (Intensive-Control-Insulin-Nutrition-Glucose) model is validated for medical intensive care unit (MICU) application. Previous studies have showed that changes in the model parameters are necessary to use it in LT environments. This study analyses(More)
In this paper the insulin sensitivity profile and the diffusion term as stepwise functions were determined for the grey box variant of the ICING (Intensive Control Insulin-Nutrition-Glucose) model used for virtual trial methodology. The suggested technique can separate system noise, which was earlier lumped into the insulin sensitivity profile itself. In(More)
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