Mathematical model of diabetic encephalopathy in diagnosis of complicated forms of diabetes mellitus

Main Article Content

A.O. Popruga
T.Ye. Mykhaylychenko
L.A. Samarchenko
L.Ye. Bobyrova


Background. The purpose of this research is to optimize the methods for diagnosis of diabetic encephalopathy based on the study of indicators of cerebrovascular hemodynamics, functional state of the brain, metabolic disorders and morphological characteristics of the brain tissue. Materials and methods. A comprehensive survey was carried out in 537 patients with diabetes mellitus (DM), including 342 (63.7 %) persons with type 1 DM, and 195 (36.3 %) — with type 2 DM. Results. The article presents data on the integrated study of clinical, metabolic and functional indicators as risk factors for diabetic encephalopathy. Their diagnostic significance is argued. On the basis of a comprehensive assessment of the obtained data, which expanded the view on the pathogenesis of diabetic encephalopathy, the priority of metabolic disorders was confirmed. Diagnostic criteria of diabetic encephalopathy were established and its mathematical model was developed. Conclusions. The availa­bility of informative indicators identified will allow the doctor to diagnose diabetic encephalopathy at the early stages or to predict its development and to detect at the preclinical stage.

Article Details

How to Cite
Popruga, A., T. Mykhaylychenko, L. Samarchenko, and L. Bobyrova. “Mathematical Model of Diabetic Encephalopathy in diagnosis of Complicated Forms of Diabetes Mellitus”. INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine), vol. 13, no. 6, Oct. 2017, pp. 420-3, doi:10.22141/2224-0721.13.6.2017.112882.
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