Yulia Mitina

Dr. Yulia Mitina

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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 January 2021 in Global Heart
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Journal Article
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PKPhilipp Kopylov
Philipp Kopylov
YMYulia Mitina
Yulia Mitina
TGTimur Gamilov
Timur Gamilov
RPRoman Pryamonosov
Roman Pryamonosov
YVYuri Vassilevski
Yuri Vassilevski
PKPhilipp Kopylov
Philipp Kopylov
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.

18 January 2022 in Global Heart
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PKPhilipp Kopylov
Philipp Kopylov
NVNelly Vishnyakova
Nelly Vishnyakova
YMYulia Mitina
Yulia Mitina
PCPetr Chomakhidze
Petr Chomakhidze
DMDinara Mesitskaya
Dinara Mesitskaya
Philipp KopylovPhilipp Kopylov
Philipp Kopylov
Background: Screening for atrial fibrillation has the potential to significantly reduce cardiovascular morbidity and mortality. However, questions in regard to how to screen, on whom to screen, and the optimal setting of screening remain unanswered.Objective: To assess the applicability of a federal cardiac monitoring for atrial fibrillation (AF) screening and remote heart rhythm monitoring in patients at high cardiovascular risk in a mixed urban and rural population in Russia.Methods: This is a prospective multicenter cohort study including 3249 individuals with high cardiovascular risk (mean age 56 ± 12.8 years) from the larger Moscow region who were screened for AF using a smartphone-case based single-lead ECG monitor over a period of 18 month. The endpoints were considered as number of newly diagnosed AF; mean time to diagnosis; number of patients for the first time assigned to anticoagulation therapy; frequency of adverse events.Results: A trial fibrillation was diagnosed in 126 patients, 36 of them for the first time. The mean time to diagnosis was 3 ± 2 days. Of 36 patients, the CHA2DS2-VASc score was ≥1 in 34 cases, ≥2 in 29 cases. Anticoagulant therapy was first induced in 31 patients. One death in newly diagnosed group and two deaths in chronic group were registered. There were a total of eight hospitalizations: one in newly diagnosed and seven in chronic AF patients.Conclusion: Our results indicate that a Federal AF screening system in patients at high cardiovascular risk by using a smartphone-case based single lead ECG which is supported by centrally located ECG specialist and central data management is feasible and reliable when performed in a mixed urban and rural area. Further studies are needed to evaluate the full potential of this approach.

13 April 2019 in Russian Journal of Cardiology
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Journal Article
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PKPhilipp Kopylov
Philipp Kopylov
TGTimur Gamilov
Timur Gamilov
RPR. A. Pryamonosov
R. A. Pryamonosov
YVYuri Vassilevski
Yuri Vassilevski
Sergey SimakovSergey Simakov
Sergey Simakov
ВСВ. Е. Синицын
В. Е. Синицын
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.

21 April 2020 in Cardiovascular Therapy and Prevention
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PKPhilipp Kopylov
Philipp Kopylov
EPEkaterina S. Pershina
Ekaterina S. Pershina
YMYulia Mitina
Yulia Mitina
TGTimur Gamilov
Timur Gamilov
RPR. A. Pryamonosov
R. A. Pryamonosov
ЮМЮ. Ю. Митина
Ю. Ю. Митина
Сравнение диагностической эффективности методик неинвазивного расчета фракционного резерва кровотока, основанных на построении одномерной и трехмерной математических моделей

Verified
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OBOlga Biakina
Olga Biakina
YMYulia Mitina
Yulia Mitina
PKPhilipp Kopylov
Philipp Kopylov
MAMarina Axenova
Marina Axenova
Alexandra ErmolaevaAlexandra Ermolaeva
Alexandra Ermolaeva
Philipp KopylovPhilipp Kopylov
Philipp Kopylov
Possible triggers and genetic markers involved in pathogenesis of amiodarone-induced thyrotoxicosis (AIT) or amiodarone-induced hypothyroidism (AIH) are currently unknown. This study aimed to analyze the association between polymorphisms in the genes involved in thyroid hormones biosynthesis and metabolism. Thirty-nine consecutive patients with confirmed type 2 amiodarone-induced thyrotoxicosis were enrolled; 39 patients on the same therapy for at least 6 months without thyroid pathology were included as a control group. A comparative study was carried out to determine the distribution and genotypes of polymorphic markers of the (Na)-iodide symporter (NIS) genes (rs7250346, C/G substitution), thyroid stimulating hormone receptor (TSHR) (rs1991517, C/G substitution), thyroid peroxidase (TPO) (rs 732609, A/C substitution), DUOX 1-1 (C/T substitution), DUOX 1-2 (G/T substitution), DUOX 1-3 (C/T substitution), glutathione peroxidase 3 (GPX3) (C/T substitution), glutathione peroxidase 4 (GPX4) (C/T substitution). Statistical analysis was performed using Prism (Version 9.0.0 (86)). This study showed that the risk of AIT2 is 3.18 times higher in the G/T of the DUOX1 gene carriers. This study is the first report of genetic markers associated with amiodarone-related adverse events conducted in humans. The obtained results indicate the necessity for a personalized approach to amiodarone administration.

1 January 2022 in Russian Journal of Cardiology and Cardiovascular Surgery
Verified
Journal Article
Closed access
EBE.AV. Ngo Bilong
E.AV. Ngo Bilong
Andrey N. RozhkovAndrey N. Rozhkov
Andrey N. Rozhkov
YMYulia Mitina
Yulia Mitina
SVS.V. Vasiliev
S.V. Vasiliev
AZAndrey Zhelankin
Andrey Zhelankin
AAAnna S. Akselrod
Anna S. Akselrod
ЦЕЛЬ ИССЛЕДОВАНИЯ Изучить комплекс циркулирующих микроРНК как возможных диагностически значимых биомаркеров у пациентов с аневризмой грудной аорты (АГА) и различными клиническими проявлениями ишемической болезни сердца (ИБС). МАТЕРИАЛ И МЕТОДЫ В исследование были включены 33 пациента: 15 больных с АГА без ИБС, 5 пациентов с АГА и стабильной ИБС, 13 больных с АГА и нестабильной ИБС. Контрольную группу составили 17 человек без признаков коронарного атеросклероза. Определены уровни 12 циркулирующих микроРНК. РЕЗУЛЬТАТЫ У пациентов с АГА и нестабильной ИБС была достоверно повышена экспрессия трех микроРНК: микроРНК 23a-3p в 3 раза (p=0,0094), микроРНК 146-5p в 3 раза (p=0,0123), микроРНК 150-5p в 12 раз (p= 0,0096). При использовании комбинации всех 3 микроРНК получены наиболее перспективные результаты в отношении их значимости как биомаркеров-кандидатов (AUC=0,8161, p<0,001). ВЫВОД Циркулирующие микроРНК 23a-3p, 146a-5p и 150-5p являются возможными диагностическими биомаркерами нестабильной ИБС у пациентов с АГА.