Mathematical model of diabetic encephalopathy.

Introduction: Diabetes mellitus (DM) is one of the leading risk factors for cerebrovascular disorders. The risk of stroke is 3-4 times higher in this population. In 10% of cases of vascular accidents in diabetic patients leads to fatal. The mortality rate for ischemic stroke is undergoing 50-60% and 70-95% of hemorrhagic form. It is known that diabetes increases the course of acute disorders of cerebral circulation. At the same time, there are data that about 415 million of the inhabitants of the planet suffer from diabetes, in 95% of cases they have type 2 diabetes, which is the second risk factor for the development of ischemic stroke after an arterial hypertension. This determines the relevance of studying the factors that affect the development of the ischemic process in patients with diabetes The aim of this research is to optimize the methods for diagnosis of diabetic encephalopathy based on a study of indicators of cerebrovascular hemodynamics, functional state of the brain, metabolic disorders and morphological characteristics of the brain tissue.

Materials And Methods: It was carried out a comprehensive survey of 537 patients with diabetes, including type 1 diabetes is set to 342 (63.7%) type 2 diabetes - in 195 (36.3%) patients. In 108 (20.1%) patients with diabetes, the clinical syndrome DE not identified in 429 (79.9%) - found DE I, II and stage III disease.

Conclusions: Construction of mathematical model allows to objectify the diagnosis where with the help of clinical and metabolic parameters without expensive equipment. At the same time, the availability of informative indicators identified will allow the doctor to diagnose DE the early stages or to predict its development and to discover at the preclinical stage.