Possibilities of predicting preclinical forms of cardiovascular diseases in young patients with type 1 diabetes mellitus using cardiac magnetic resonance imaging

Aim. To identify the indicators of cardiac magnetic resonance (CMR), which have diagnostic value in the individual assessment of the cardiovascular prognosis in young patients with type 1 diabetes mellitus (T1DM).

Material and Methods. The study included a total of 60 patients (29 men and 31 women) aged 18 to 36 years with a history of T1DM from 5 to 16 years, who underwent contrast-enhanced CMR. Circular strain, strain relaxation index (SRI), peak early diastolic strain rate (SRe), epicardial fat thickness (EFT), ejection fraction (EF), stroke volume (SV), end-diastolic volume (EDV), end-systolic volume (ESV), and left ventricular mass (LVM) were assessed. Echocardiography, 24-h electrocardiography (ECG), treadmill test, and NT-proBNP blood test were performed to exclude heart pathology. Statistical data processing was used to identify the relationships of changes in CMR parameters of the left ventricle and epicardial adipose tissue with disease duration, carbohydrate metabolism compensation (HbA1c), total cholesterol, and low-density lipoprotein (LDL).

Results. Using the nonparametric Mann – Whitney U-test, the study showed the presence of significant differences in the values of SV, EDV, end-diastolic volume index (EDVI), and LVM in the groups of 5–10and 11–16-year duration of disease, respectively. The assessment of Spearman’s rank correlation coefficients revealed negative correlations between the values of SV, ESV, ESV index (ESVI), EDV, and LVM and T1DM duration; between the index of circular strain and blood level of HbA1c; between the values of SV, EDVI, ESVI, EDV, ESV, and LVM and blood levels of total cholesterol and LDL; between SV, EDVI, ESVI, EDV, ESV, and LVM and mean EFT in the left ventricular projection.

Conclusion. The CMR-based evaluation of strain parameters may become a key in personalized identification of young T1DM patients with a high risk of adverse cardiovascular events. The thickness and distribution of epicardial adipose tissue in young patients with T1DM may have predictive value for risk stratification of developing diseases associated with atherosclerosis and chronic heart failure, which will affect the primary prevention strategy in this population.

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