A mathematical model of microcirculation for predicting reperfusion syndrome in diabetic patients

Diabetes mellitus is a group of chronic metabolic disorders, characterized by an elevated blood sugar level. Due to the rapidly growing number of patients with diabetes mellitus, the complications rates are also increasing dramatically. Currently, non-invasive experimental methods are adopted to evaluate microcirculatory perfusion and reveal early diabetic microangiopathy dysfunction. Since microcirculation function assumes several interrelated processes depending on a large number of parameters, similar clinical manifestation of microcirculation disorder can be caused by various alterations that are often impossible to determine using only experimental data. Mathematical modeling is a promising tool to overcome mentioned above issues and en-hance experimental methods. This paper focuses on the development of mathematical model enabling to predict reperfusion syndrome in diabetic patients. The model of microcirculation can allow estimating other parameters (capillary wall hydraulic conductivity and oncotic pressure) by comparing computed results with capillaroscopic measurements of filtration rate. With the help of presented mathematical model we can propose a possible way for explaining why revascularization can cause aggravation of diabetic foot syndrome.