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1. 2023 All-Russian screening for hypertension: results

Author

Rotar, O. P., primary, Ilyanova, I. N., additional, Boyarinova, M. A., additional, Moguchaya, E. V., additional, Tolkunova, K. M., additional, Dyachkov, V. A., additional, Rubanenko, O. A., additional, Rubanenko, A. O., additional, Gaberman, O. E., additional, Gubareva, E. Yu., additional, Pomogaibo, B. V., additional, Dolya, E. M., additional, Kaliberdenko, V. B., additional, Avdeeva, I. V., additional, Tomashevskaya, Yu. A., additional, Falkovskaya, A. Yu., additional, Manukyan, M. A., additional, Solonskaya, E. I., additional, Vtorushina, A. A., additional, Khunkhinova, S. A., additional, Tsareva, V. M., additional, Molokoedova, L. E., additional, Petrova, M. M., additional, Kaskaeva, D. S., additional, Romanova, I. V., additional, Danilova, L. K., additional, Evsyukov, A. A., additional, Tutyrina, O. V., additional, Tepnadze, L. E., additional, Yakunchenko, T. I., additional, Mevsha, O. V., additional, Sharapova, Yu. A., additional, Chernykh, T. M., additional, Syomkina, E. V., additional, Tsygankova, O. V., additional, Protasov, K. V., additional, Fedorishina, O. V., additional, Makeeva, E. R., additional, Smolkina, Y. A., additional, Nikishina, D. D., additional, Verushkina, A. S., additional, Smirnova, E. A., additional, Belenikina, Ya. A., additional, Bikushova, I. V., additional, Derevyanchenko, M. V., additional, Fedotov, V. V., additional, Shaposhnikova, M. Yu., additional, Sereda, D. V., additional, Kartashova, E. A., additional, Zheleznyak, E. I., additional, Rakhmatullina, D. M, additional, Kiseleva, L. S., additional, Evsevieva, M., additional, Sergeeva, O. V., additional, Kudryavtseva, V. D., additional, Zavyalova, A. M., additional, Slezova, V. I., additional, Kitalaeva, K. T., additional, Artemov, N. N., additional, Tanicheva, A. A., additional, Konradi, A. A., additional, and Shlyakhto, E. V., additional

Published
2024
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3. Appointment of lipid-lowering therapy in the Russian population: comparison of SCORE and SCORE2 (according to the ESSE-RF study)

Author

Erina, A. M., primary, Usoltsev, D. A., additional, Boyarinova, M. A., additional, Kolesova, E. P., additional, Moguchaya, E. V., additional, Tolkunova, K. M., additional, Alieva, A. S., additional, Rotar, O. P., additional, Artemov, N. N., additional, Shalnova, S. A., additional, Konradi, A. O., additional, Drapkina, O. M., additional, Boytsov, S. A., additional, and Shlyakhto, E. V., additional

Published
2022
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8. Markers of vascular damage depending on the blood pressure level: data of the population study ESSE-RF

Author

Erina, A. M., primary, Boyarinova, M. A., additional, Moguchaya, E. V., additional, Kolesova, E. P., additional, Aliyeva, A. S., additional, Rotar, O. P., additional, Baranova, E. I., additional, Shalnova, S. A., additional, Deev, A. D., additional, Astakhova, Z. T., additional, Bolieva, L. Z., additional, Tolparov, G. V., additional, Kaveshnikov, V. S., additional, Serebryakova, V. N., additional, Trubacheva, I. A., additional, Karpov, R. S., additional, Efanov, A. Yu., additional, Storozhok, M. A., additional, Medvedeva, I. V., additional, Shalaev, S. V., additional, Rogoza, A. N., additional, Konradi, A. O., additional, Boytsov, S. A., additional, and Shlyakhto, E. V., additional

Published
2020
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9. May Measurement Month 2019: adherence to treatment and hypertension control in Russia

Author

Rotar, O. P., primary, Tolkunova, K. M., additional, Solntsev, V. N., additional, Erina, A. M., additional, Boyarinova, M. A., additional, Alieva, A. S., additional, Moguchaya, E. V., additional, Kolesova, E. P., additional, Pavlyuk, E. I., additional, Posnenkova, O. M., additional, Abrosimova, O. V., additional, Drapkina, O. M., additional, Shepel, R. N., additional, Ivanova, E. S., additional, Zhamalov, L. M., additional, Ivanova, M. I., additional, Evdokimov, D. S., additional, Boldueva, S. A., additional, Yakunchenko, T. I., additional, Mevsha, O. V., additional, Petrova, M. N., additional, Pokoeva, Z. A., additional, Kalinkina, T. V., additional, Statsenko, M. E., additional, Derevyanchenko, M. V., additional, Lopatin, Yu. M., additional, Petrova, M. M., additional, Kaskaeva, D. S., additional, Chernova, A. A., additional, Nikulina, S. Yu., additional, Kaplieva, O. V., additional, Mikhaylichenko, A. O., additional, Latkin, O. E., additional, Smirnova, E. A., additional, Kholodkova, Yu. A., additional, Mikhin, V. P., additional, Novokreshchennyh, O. G., additional, Dolya, E. M., additional, Gaffarov, N. S., additional, Yevsevieva, M. E., additional, Fursova, E. N., additional, Italintseva, E. V., additional, Sergeeva, O. V., additional, Makeeva, E. R., additional, Nurtdinova, I. I., additional, Tagirova, L. M., additional, Bukharova, E. K., additional, Ripp, T. M., additional, Mordovin, V. F., additional, Kochergina, A. M., additional, Leonova, V. O., additional, Okunev, I. M., additional, Sharapova, Yu. A., additional, Tanicheva, A. A., additional, Konradi, A. O., additional, and Shlyakhto, E. V., additional

Published
2020
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10. Genetic markers of the metabolic syndrome in the Russian population (based on the ESSE-RF study)

Author

Rotar, O. P., primary, Kolesova, E. P., additional, Moguchaya, E. V., additional, Boyarinova, M. A., additional, Khromova, N. V., additional, Alieva, А. S., additional, Vasileva, E. Yu., additional, Belyaeva, O. D., additional, Bazhenova, E. A., additional, Baranova, E. I., additional, Cherepanova, N. А., additional, Duplyakov, D. V., additional, Libis, R. А., additional, Basirova, I. R., additional, Lopina, E. A., additional, Dushina, A. G., additional, Solncev, V. N., additional, Kostareva, A. A., additional, Konradi, A. O., additional, and Shlyakhto, E. V., additional

Published
2020
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12. CARDIOVASCULAR DISEASES OF THE LENINGRAD SIEGE SURVIVORS - NEW RISK FACTORS RESEARCH

Author

Rotar, M. P., Moguchaya, E. V., Kolesova, E. P., Boyarinova, M. A., Erina, A. M., Dudorova, E. A., Ilyina, M. A., Solntsev, V. N., and Alexandra Konradi

Subjects
Siege, Starvation, medicine.medical_specialty, Waist, hypertension, business.industry, Hypertriglyceridemia, starvation, Blood lipids, leningrad siege survivors, Anthropometry, medicine.disease, Surgery, Internal medicine, RC666-701, medicine, Diseases of the circulatory (Cardiovascular) system, Myocardial infarction, medicine.symptom, Cardiology and Cardiovascular Medicine, business, Abdominal obesity
Abstract

Aim. To assess the influence of starvation on the prevalence of cardiovascular risk factors and diseases in survivors of Leningrad Siege, depending on the starvation occurrence. Material and methods. Leningrad Siege survivors from Primorsky district of Saint-Petersburg were invited and examined during December 2009 to January 2012. All participants were interviewed by a questionnaire regarding lifestyle, risk factors, cardiovascular disease, comorbidities and medication. Blood pressure (BP) measurements and anthropometry (weight, height, waist and neck circumference) were performed according to standard procedures. Fasting serum lipids and plasma glucose were measured on Hitachi-902. Echocardiography (Vivid 7) and electrocardiography (MAC1200ST) were performed. 305 survivors of Leningrad Siege (224 (73%) females and 81 (27%) males) were examined, the mean age was 70,5 yrs. In the control group were 46 patients with similar gender and age pattern — 31 (67%) females and 15 (33%) males, mean age was 71,3 years. All people were divided in two groups: who was born during the Leningrad Siege (45 (14,7%)) and before the Leningrad Siege (260 (85,3%) subjects) in the period from 1928 to 1941. Results. Siege survivors had lower anthropometric indexes but higher HDL level comparing with control group. There were no significant differences in the prevalence of cardiovascular disease in 2 groups: only chronic CHD was more often (48,9% vs 33,3%, р=0,04) and prevalence of atrial fibrillation was slightly lower (17% vs 8.5%, p=0,05) in siege survivors comparing with the controls. Survivors who were undergone the starvation during childhood and adolescent period more often had hypertriglyceridemia comparing with subjects after intrauterine starvation. Diagnosis of myocardial infarction (16 (19,8%) vs 16 (7,2%), p=0,002) and AF (13 (16%) vs 12 (5,35%), respectively, p=0,02) were detected more often in men comparing with women. Males less often had hypercholesterolemia (39 (48,1%) vs 170 (75,8%), р

Published
2014

27. RELATIONSHIP OF SLEEP-DISORDERED BREATHING, EMOTIONAL COMPLAINTS AND ANTROPOMETRIC MEASUREMENTS (THE RESULTS OF SCREENING SURVEY AMONG SAINT-PETERSBURG CITIZENS)

Author

Dubinina, E. A., primary, Korostovtseva, S. L., additional, Rotar, O. P., additional, Moguchaya, E. V., additional, Boyarinova, M. A., additional, Kolesova, E. P., additional, Alieva, A. S., additional, Kravchenko, S. O., additional, Paskar, N. A., additional, Sviryaev, Yu. V., additional, Alyokhin, A. N., additional, and Konradi, A. O., additional

Published
2015
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28. PP.33.32

Author

Orlov, A., primary, Boyarinova, M., additional, Rotar, O., additional, Alieva, A., additional, Moguchaya, E., additional, Kolesova, E., additional, Vasilieva, E., additional, Yudina, U., additional, Solntsev, V., additional, Baranova, E., additional, and Konradi, A.O., additional

Published
2015
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29. PP.19.33

Author

Boyarinova, M., primary, Rotar, O., additional, Alieva, A., additional, Moguchaya, E., additional, Orlov, A., additional, Vasilieva, E., additional, Yudina, V., additional, Sysoev, K., additional, Solntsev, V., additional, Baranova, E., additional, and Konradi, A.O., additional

Published
2015
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30. PP.34.09

Author

Rotar, O., primary, Moguchaya, E., additional, Alieva, A., additional, Orlov, A., additional, Boyarinova, M., additional, Vasilieva, E., additional, Solntsev, V., additional, and Konradi, A.O., additional

Published
2015
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34. 984 SURVIVORS OF LENINGRAD SIEGE

Author

Rotar, O., primary, Freylikhman, O., additional, Chromova, N., additional, Moguchaya, E., additional, Ivanenko, V., additional, Kolesova, E.P., additional, Erina, A., additional, Boyarinova, M.A., additional, Kostareva, A., additional, Konradi, A., additional, and Shlyakhto, E., additional

Published
2012
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39. Complex trait susceptibilities and population diversity in a sample of 4,145 Russians.

Author

Usoltsev D, Kolosov N, Rotar O, Loboda A, Boyarinova M, Moguchaya E, Kolesova E, Erina A, Tolkunova K, Rezapova V, Molotkov I, Melnik O, Freylikhman O, Paskar N, Alieva A, Baranova E, Bazhenova E, Beliaeva O, Vasilyeva E, Kibkalo S, Skitchenko R, Babenko A, Sergushichev A, Dushina A, Lopina E, Basyrova I, Libis R, Duplyakov D, Cherepanova N, Donner K, Laiho P, Kostareva A, Konradi A, Shlyakhto E, Palotie A, Daly MJ, and Artomov M

Subjects
Humans, Russia epidemiology, Male, Polymorphism, Single Nucleotide, Female, Genetic Predisposition to Disease, Genetics, Population, Phenotype, White People genetics, Finland, Asian People genetics, Genetic Variation, Cohort Studies, Multifactorial Inheritance genetics, Ethnicity genetics, Eastern European People, Gene Frequency, Genome-Wide Association Study
Abstract

The population of Russia consists of more than 150 local ethnicities. The ethnic diversity and geographic origins, which extend from eastern Europe to Asia, make the population uniquely positioned to investigate the shared properties of inherited disease risks between European and Asian ancestries. We present the analysis of genetic and phenotypic data from a cohort of 4,145 individuals collected in three metro areas in western Russia. We show the presence of multiple admixed genetic ancestry clusters spanning from primarily European to Asian and high identity-by-descent sharing with the Finnish population. As a result, there was notable enrichment of Finnish-specific variants in Russia. We illustrate the utility of Russian-descent cohorts for discovery of novel population-specific genetic associations, as well as replication of previously identified associations that were thought to be population-specific in other cohorts. Finally, we provide access to a database of allele frequencies and GWAS results for 464 phenotypes., (© 2024. The Author(s).)

Published
2024
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40. Case Report: Supernormal Vascular Aging in Leningrad Siege Survivors.

Author

Rotar O, Boyarinova M, Moguchaya E, Tolkunova K, Kolosov N, Rezapova V, Freylikhman O, Usoltsev D, Melnik O, Sergushichev A, Solntsev V, Kostareva A, Dubinina E, Voortman T, Stevens C, Daly MJ, Konradi A, Shlyakhto E, and Artomov M

Abstract

Age-related changes in the vascular system play an important role in the biological age and lifespan of a person and maybe affected from an early age onward. One of the indicators of changes in the vascular system is arterial wall stiffness and its main measure, i.e., carotid-femoral pulse wave velocity (cfPWV). We examined arterial wall stiffness in a sample of 305 Leningrad Siege survivors to assess how hunger and stressful conditions during fetal development and early childhood affected the state of the cardiovascular system at a later age and what factors may neutralize the negative impact sustained in early childhood. Here, we presented an evaluation of two unique patients with supernormal vascular aging (SUPERNOVA) phenotype from this cohort and described the details of congruence between hereditary resistance and practiced lifestyle yielding slower biological aging rate., Competing Interests: MD is a founder of Maze Therapeutics. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Rotar, Boyarinova, Moguchaya, Tolkunova, Kolosov, Rezapova, Freylikhman, Usoltsev, Melnik, Sergushichev, Solntsev, Kostareva, Dubinina, Voortman, Stevens, Daly, Konradi, Shlyakhto and Artomov.)

Published
2022
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41. Large artery stiffness according to different assessment methods in adult population of St.Petersburg.

Author

Alieva AS, Rotar OP, Orlov AV, Boyarinova MA, Moguchaya EV, Rogoza AN, Konradi AO, and Shlyakhto EV

Subjects
Adult, Aged, Cardiovascular Diseases epidemiology, Cardiovascular Diseases physiopathology, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prevalence, Prognosis, Reproducibility of Results, Risk Factors, Russia epidemiology, Ankle Brachial Index, Cardiovascular Diseases diagnosis, Pulse Wave Analysis, Vascular Stiffness
Abstract

Objective: The aim of the present study was to assess the prevalence of increased arterial stiffness by different diagnostic methods and its association with cardiovascular risk in Russian population-based cohort., Design and Methods: In terms of Russian epidemiological study ESSE-RF a random selection of 452 apparently healthy Saint-Petersburg inhabitants aged 25-65 years was performed. Fasting lipids, glucose and blood pressure measurements were performed. We used 3 diagnostic methods of arterial stiffness assessment: pulse wave velocity by applanation tonometry (SphygmoCor - PWV-S) and pulse wave velocity by volumetric sphygmography (VaSera - PWV-V), and cardio-ankle vascular index (CAVI) by VaSera., Results: 341 (75,4%) had normal parameters of arterial stiffness assessed by all methods. Spearmen's coefficient of correlation and "kappa" coefficient for PWV-S and CAVI were 0,74 and 0,04, for PWV-S and PWV-V - 0,10 and 0,06, for CAVI and PWV-V - 0,28 and 0,03, respectively. There was a significant correlation between cardiovascular risk (defined by SCORE) and PWV-S (r = 0,38, p < 0,001) and a non-significant trend of increasing CAVI along with cardiovascular risk (r = 0,35, p = 0,14)., Conclusions: Different methods of arterial stiffness assessment showed a weak correlation with each other. Carotid-femoral pulse wave velocity detected by applanation tonometry is associated with high cardiovascular risk score and might be considered as better additional risk marker for cardiovascular risk stratification., (Copyright © 2018. Published by Elsevier B.V.)

Published
2018
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42. [Adipokines Level in Metabolically Healthy Obese Saint-Petersburg Inhabitants (ESSE-RF)].

Author

Boyarinova MA, Orlov AV, Rotar OP, Alieva AS, Moguchaya EV, Vasileva EU, Soltsev VN, Baranova EI, and Konradi AO

Subjects
Adult, Body Mass Index, C-Reactive Protein metabolism, Female, Humans, Insulin Resistance, Male, Middle Aged, Obesity epidemiology, Obesity physiopathology, Russia epidemiology, Sex Factors, Waist Circumference, Adipokines blood, Obesity blood
Abstract

Aim: to elucidate prevalence of phenotypes of metabolically heathy obesity (MHO) among inhabitants of Saint-Petersburg using various criteria and assess dependence levels of adipokines on obesity phenotype., Material and Methods: Within a framework of epidemiologic study ESSE-RF we formed a random sample of 1600 Saint-Petersburg inhabitants stratified according to gender and age. Examination of participants included anthropometry with measurement of waist circumference CRP and estimation of body mass index (BMI), measurement of arterial pressure, determination of fasting blood glucose, insulin (with calculation of index of insulin resistance -IIR), lipid spectrum, C-reactive protein (CRP), adiponectin, leptin. In subjects with obesity (BMI more or equal 30 kg/m) we used Meigs and Wildman MHO criteria. To Wildman criteria we applied 3 variants of definition of elevated CRP and IIR: 90th percentile among subjects with BMI <25 kg/m (variant 1) or among all participants (variant 2), and (variant 3) definition from publication by E.Oliveros et al. (2014)., Results: Obesity (BMI more or equal 30 kg/m) was found in 430 participants. Numbers/rates of MHO according to the Wildman criteria were the following: variant 1 - 49/12% (among them 13/10% men and 36/14% women, =0.15); variant 2 - 85/22% (24/18% men, 61/23% women, =0.13); variant 3 - 59/15% (13/10% men, 46/18% women, =0.02). Portion of MHO according to Meigs criteria was 138/35% (among them 48/36% men, 90/35% women, =0.4). Significant differences in adipokines levels between subjects with MHO and metabolically unhealthy obesity (MUHO) were revealed only among women. There was no difference in leptin level between subjects with MHO and MUHO irrespective of gender., Conclusion: Rate of MHO phenotype in a sample of inhabitants of Saint-Petersburg varied from 12 to 35% depending on criteria used. Gender differences in MHO rates were minimal and depended on selected criteria. Elevated adiponectin level among obese women could be presumably related to more favorable metabolic profile.

Published
2016
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43. [Gender Differences of Behavioral Risk Factors in Saint-Petersburg Inhabitants].

Author

Orlov AV, Rotar OP, Boyarinova MA, Alieva AS, Dudorova EA, Kolesova EP, Moguchaya EV, Paskar NA, Solntsev VN, Baranova EA, and Konradi AO

Subjects
Adult, Cardiovascular Diseases psychology, Female, Humans, Male, Middle Aged, Morbidity trends, Retrospective Studies, Risk Factors, Russia epidemiology, Sex Factors, Cardiovascular Diseases epidemiology, Life Style, Risk Assessment methods, Risk-Taking, Urban Population
Abstract

Background: In developed countries there are significant gender differences in lifetime expectancy that can be explained by behavioral risk factors (RF)., Objective: The aim of our study was to estimate gender features of behavioral RF in general population of Saint-Petersburg, Russia., Methods: As a part of all-Russian epidemiology survey ESSE-RF a random sampling of 1600 Saint-Petersburg inhabitants (25-64 y.o.) stratified by age and sex was performed. All participants filled in the questionnaire. Anthropometry (weight, height, body-mass index (BMI), waist circumference (WC) and fasting blood-tests (lipids, glucose by Abbott Architect 8000 (USA)) were performed., Results: There were examined 573 (36%) men and 1027 (64%) women. No gender differences in obesity were found according to BMI criteria--in 178 (31.2%) women and 352 (35.1%) men. Obesity was more often detected in females according to WC criteria: ATPIII--44.1 vs 30.3%; IDF 51.2 vs 66.4% (p < 0.001 for both). Linear regression analysis was performed and age was associated with BMI--1.6 kg/m2/decade, WC in women--5.2 cm/decade and WC in men--2.8 cm/decade, p < 0.001 for all anthropometric parameters. Optimal level of physical activity was equally documented in both genders--540 (61.2%) women and 286 (58.9%) men. Daily intake of sweets was lower in men--228 (39.8%) vs 539 (52.5%) in women (p < 0.001). 810 (50.6%) of trial subjects were non-smokers, 395 (24.7%) were former smokers, and 395 (24.7%) were smokers at the moment of trial. The higher number of female smokers was observed--194 (19.1%)., Conclusion: A high prevalence of obesity is observed in sample of Saint-Petersburg inhabitants--it is higher among women according to WC criteria regardless of menopause, possibly due to bigger sweets consumption. Males smoke more often and consume less fresh fruits and vegetables which is accompanied by a higher prevalence of hyperglycemia and hypertriglyceridemia.

Published
2015
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