Background: Until recently, Russia did not utilize noninvasive fractional flow reserve (FFR) assessment. We developed an automated algorithm for noninvasive assessment of FFR based on a one-dimensional (1D) mathematical modeling. Objective: The research aims to evaluate the diagnostic accuracy of this algorithm. Methods: The study enrolled 80 patients: 16 of them underwent 64-slice computed tomography – included retrospectively, 64 – prospectively, with a 640-slice CT scan. Specialists processed CT images and evaluated noninvasive FFR. Ischemia was confirmed if FFR < 0.80 and disproved if FFR ≥ 0.80. The prospective group of patients was hospitalized for invasive FFR assessment as a reference standard. If ischemic, patients underwent stent implantation. In the retrospective group, patients already had invasive FFR values. Statistical analysis was performed using GraphPad Prism 8. We compared two methods using a Bland–Altman plot and per-vessel ROC curve analysis. Considering the abnormality of distribution by the Kolmogorov-Smirnov test, we have used Spearman’s rank correlation coefficient. Results: During data processing, three patients of the retrospective and 46 patients of the prospective group were excluded. The sensitivity of our method was 66.67% (95% CI: 46.71–82.03); the specificity was 78.95% (95% CI: 56.67–91.49), p = 0.0052, in the per-vessel analysis. In per-patient analysis, the sensitivity was 69.57% (95% CI: 49.13–84.40); the specificity was 87.50% (95% CI: 52.91–99.36), p = 0.0109. The area under the ROC curve in the per-vessel analysis was 77.52% (95% CI: 66.97–88.08), p < 0.0001. Conclusion: The obtained indices of sensitivity, specificity, PPV, and NPV are, in general, comparable to those in other studies. Moreover, the noninvasive values of FFR yielded a high correlation coefficient with the invasive values. However, the AUC was not high enough, 77.52 (95% CI: 66.97–88.08), p < 0.0001. The discrepancy is probably attributed to the initial data heterogeneity and low statistical power.

Aim.To evaluate the diagnostic accuracy of a noninvasive method of fractional flow reserve (FFR) assessment based on a one-dimensional hemodynamic model build on data obtained from the coronary computed tomography angiography (CCTA).Material and methods.The study enrolled 57 patients: 16 of them underwent 64-slice computed tomography — included retrospectively, 34 — prospectively, with a 640-slice CT scan. Specialists from the Laboratory of Mathematical Modeling processed CT images and evaluated noninvasive FFR. Ischemia was confirmed if FFR <0,80 and disproved if FFR ≥0,80. After that the prospective group of patients was hospitalized for invasive FFR assessment as a reference standard; if ischemia was proved, patients underwent stent implantation. In the retrospective group, patients already had invasive FFR values estimated. Statistical analysis was performed using R programming language packages (cran-r.project.com). Continuous variables are presented as mean values ± standard deviations, order variables are presented as medians with interquartile ranges in parentheses. We used the D’Agostino-Pearson omnibus test for the assessment of normality of distribution; a Q-Q Plot was also constructed. We performed the Bland-Altman analysis and ROC-analysis for comparison of these two methods, and the Pearson’s chi-squared to assess the degree of correlation.Results.During data processing, 3 patients of the retrospective and 34 patients of the prospective group were excluded from the study. The sensitivity of our method was 90,91% (95% CI; 58,72-99,77), specificity — 86,67% (95% CI; 59,54-98,34), P<0,05, accuracy — 88,46 (95% CI; 69,85-97,55) — in per-vessel analysis. In perpatient analysis, the sensitivity was 91,67% (95% CI; 61,52-99,79), specificity — 80% (95% CI; 28,36-99,49), (P<0,05); accuracy 88,24 (95% CI; 63,56-98,54).Conclusion.Our method has quite a high accuracy and can be successfully used in clinical practice in order to enhance the diagnostic efficiency of the CCTA.

Rationale. Cardiovascular diseases remain the leading cause of human death in the world. Studying the role of regulatory non-coding RNAs, which include short single-stranded miRNA molecules, allows a more detailed understanding of the pathological processes underlying the progression of atherosclerosis. Objective to compare the levels of circulating miRNAs in patients with coronary heart disease, confirmed by multislice computed tomography-coronarography (MSCT-CA), with risks of cardiovascular complications and clinical and demographic characteristics. To compare the profiles of circulating miRNAs in groups of patients with stable and unstable atherosclerotic plaques. Methods. MicroRNA levels in the plasma of peripheral blood of patients with coronary heart disease were determined using the miScript miRNA PCR Array MIHS-105Z kit (Qiagen). The significance of differences in miRNA levels between the compared groups was determined using the MannWhitney U-test. The correlations of the levels of circulating miRNAs with clinical and demographic parameters were evaluated using the Spearman correlation coefficient. Risk assessment of cardiovascular complications in these patients was carried out using validated scales (ACC/AHA, Framinghm, SCORE, MESA). Atherosclerotic plaque stability was evaluated using MSCT-CA. Results. The study showed a significant (p 0.05) decrease in miR-16, miR-211, miR-195 miRNA levels in the plasma of patients with coronary heart disease, which correlated with an increase in cardiac vascular risk (CVR) according to ACC/AHA, Framingham and MESA. When comparing groups of patients with stable and unstable atherosclerotic plaques, the latter revealed an increase in the level of let-7b-5p circulating microRNA (p 0.05). Conclusion. Significant associations of the three studied microRNAs with the estimated risk of CVR were identified. It is important to find circulating let-7b-5p in a group of patients with unstable atherosclerotic plaques. Correlations were established between the levels of circulating microRNAs and clinical and demographic characteristics of patients. The study shows the involvement of some microRNAs in the regulation of atherosclerosis.

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