title: Static and dynamic information in metabolic medicine.
abstract: Several computer models and dynamic parameters were used to describe metabolic state of patients. We have used models to explain the process of glycation of hemoglobin and albumin, to identify insulin sensitivity, to describe individual insulin therapy needs and to predict outcome of metabolic diseases. We also compared static and dynamic description of patients with metabolic X syndrome. We can conclude that static and dynamic parameters bring different quality of information in metabolic care.
authors.affiliation: Third Clinic of Medicine 1st Medical Faculty, Charles University, Prague, Czech Republic.
authors.forename: S
authors.initials: S
authors.lastname: Svacina
authors.forename: T
authors.initials: T
authors.lastname: Haas
authors.forename: R
authors.initials: R
authors.lastname: Hovorka
mesh_terms: D003198:Computer Simulation; D003920:Diabetes Mellitus / Q000378:metabolism / Q000628:therapy; D006801:Humans; D008659:Metabolic Diseases / Q000378:metabolism / Q000628:therapy; D008954:Models, Biological