Objective: Introduction: Diabetes Mellitus (DM) type 2 is an important medical and social problem all around the world. One of the most serious and widespread complications of DM type 2 is a damage to the cardiovascular system. The aim was to study the way of how to predict the IHD development in patients with the newly diagnosed DM type 2 by building a mathematical model with the help of statistical method, in particular, a logistic regression, which allows predicting the occurrence of IHD by the levels of proven biochemical and anthropometric indices. This method serves to determine the connection and enables predicting the value of one dependent variable based on the value of other (independent) variables.
Patients and methods: Materials and methods: We have examined 40 patients with newly diagnosed DM type 2, who at the moment of the study did not have any cardio-vascular pathology. All patients were checked twice (at the moment of examination and 12 months after) for their age, body mass index (BMI), waist / hip ratio, levels of leptin, resistin, sP-selectin, interleukin (IL) -2, IL-6, tumour necrotic factor--α (TNF), glycated haemoglobin (HbA1c), insulin, C-peptide, total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), non-esterified fatty acids (NEFA) .
Results: Results and conclusions: Mathematical prediction allowed finding out the patients with the high tendency to developing an adverse outcome. This information is of great practical importance from a medical, social and economic point of view since it allows the physician to prevent these diseases before their onset.
Keywords: IHD; diabetes mellitus type 2; mathematical prediction.