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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">cardiovascular</journal-id><journal-title-group><journal-title xml:lang="ru">Кардиоваскулярная терапия и профилактика</journal-title><trans-title-group xml:lang="en"><trans-title>Cardiovascular Therapy and Prevention</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1728-8800</issn><issn pub-type="epub">2619-0125</issn><publisher><publisher-name>«SILICEA-POLIGRAF» LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.15829/1728-8800-2021-2980</article-id><article-id custom-type="elpub" pub-id-type="custom">cardiovascular-2980</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Исследование ЭССЕ-РФ</subject></subj-group></article-categories><title-group><article-title>Пилотный проект по изучению ассоциации тропонина I с сердечно-сосудистыми осложнениями в популяции российского региона</article-title><trans-title-group xml:lang="en"><trans-title>Pilot project to study the association of troponin I with cardiovascular events in the population of Russian region</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2087-6483</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шальнова</surname><given-names>С. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Shalnova</surname><given-names>S. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Шальнова Светлана Анатольевна — доктор медицинских наук, профессор, главный научный сотрудник, руководитель отдела эпидемиологии хронических неинфекционных заболеваний.</p><p>Москва.</p><p>Тел.: +7 (903) 238-87-83</p></bio><bio xml:lang="en"><p>Moscow.</p><p>Tel.: +7 (903) 238-87-83</p></bio><email xlink:type="simple">svetlanashalnova@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4453-8430</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Драпкина</surname><given-names>О. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Drapkina</surname><given-names>O. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Драпкина Оксана Михайловна — доктор медицинских наук, профессор, член-корреспондент РАН, директор.</p><p>Москва.</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">svetlanashalnova@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2062-1536</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Концевая</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kontsevaya</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Концевая Анна Васильевна — доктор медицинских наук, доцент, заместитель директора по научной и аналитической работе.</p><p>Москва.</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">svetlanashalnova@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6615-4315</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Яровая</surname><given-names>Е. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Yarovaya</surname><given-names>E. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Яровая Елена Борисовна — доктор физико-математических наук, руководитель лаборатории биостатистики, профессор кафедры теории вероятностей механико-математического факультета.</p><p>Москва.</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">svetlanashalnova@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9844-3122</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Куценко</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kutsenko</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Куценко Владимир Александрович — научный сотрудник лаборатории биостатистики, аспирант кафедры теории вероятностей механико-математического факультета.</p><p>Москва.</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">svetlanashalnova@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8665-9129</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Метельская</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Metelskaya</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Метельская Виктория Алексеевна — доктор биологических наук, профессор, главный научный сотрудник, руководитель отдела изучения биохимических маркеров риска хронических неинфекционных заболеваний.</p><p>Москва.</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">svetlanashalnova@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9624-9374</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Капустина</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kapustina</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Капустина Анна Владимировна — старший научный сотрудник отдела эпидемиологии хронических неинфекционных заболеваний.</p><p>Москва.</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">svetlanashalnova@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8011-2798</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Баланова</surname><given-names>Ю. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Balanova</surname><given-names>Yu. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Баланова Юлия Андреевна — кандидат медицинских наук, ведущий научный сотрудник отдела.</p><p>Москва.</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">JBalanova@gnicpm.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0003-2681</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Литинская</surname><given-names>О. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Litinskaya</surname><given-names>O. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Литинская Ольга Анатольевна — кандидат медицинских наук, руководитель клинико-диагностической лаборатории.</p><p>Москва.</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">svetlanashalnova@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6985-7131</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Покровская</surname><given-names>М. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Pokrovskaya</surname><given-names>M. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Покровская Мария Сергеевна — кандидат биологических наук, руководитель лаборатории “Банк биологического материала”.</p><p>Москва.</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">svetlanashalnova@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Национальный медицинский исследовательский центр терапии и профилактической медицины<country>Россия</country></aff><aff xml:lang="en">National Medical Research Center for Therapy and Preventive Medicine<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Национальный медицинский исследовательский центр терапии и профилактической медицины; Московский государственный университет им. М.В. Ломоносова<country>Россия</country></aff><aff xml:lang="en">National Medical Research Center for Therapy and Preventive Medicine; Lomonosov Moscow State University<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>31</day><month>08</month><year>2021</year></pub-date><volume>20</volume><issue>5</issue><fpage>2980</fpage><lpage>2980</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Шальнова С.А., Драпкина О.М., Концевая А.В., Яровая Е.Б., Куценко В.А., Метельская В.А., Капустина А.В., Баланова Ю.А., Литинская О.А., Покровская М.С., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Шальнова С.А., Драпкина О.М., Концевая А.В., Яровая Е.Б., Куценко В.А., Метельская В.А., Капустина А.В., Баланова Ю.А., Литинская О.А., Покровская М.С.</copyright-holder><copyright-holder xml:lang="en">Shalnova S.A., Drapkina O.M., Kontsevaya A.V., Yarovaya E.B., Kutsenko V.A., Metelskaya V.A., Kapustina A.V., Balanova Y.A., Litinskaya O.A., Pokrovskaya M.S.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://cardiovascular.elpub.ru/jour/article/view/2980">https://cardiovascular.elpub.ru/jour/article/view/2980</self-uri><abstract><sec><title>Цель</title><p>Цель. В рамках пилотного исследования изучить потенциальную значимость сердечного тропонина I (cTnl) в оценке риска сердечно-сосудистых заболеваний (ССЗ) в общей популяции 3564 лет одного из регионов-участников исследования ЭССЕ-РФ (Эпидемиология сердечно-сосудистых заболеваний и их факторов риска в регионах Российской Федерации).</p></sec><sec><title>Материал и методы</title><p>Материал и методы. Исследование базируется на данных наблюдательного проспективного исследования ЭССЕ-РФ, полученного на выборке из населения одного из регионов. В анализ включались социально-демографические переменные, факторы риска, ССЗ в анамнезе. Уровень cTnI измеряли с ноября по декабрь 2021г в образцах сыворотки крови, хранимых при -70° С, с помощью высокочувствительного иммунохемилюминисцентного анализа с микрочастицами, используя реактивы Architect Stat High Sensitive Troponin I (Abbott) на автоматизированном анализаторе Architect i2000SR (Abbott, Abbot Park IL, США). В качестве конечных точек анализировалась жесткая конечная точка (КТ) — смерть от ССЗ и перенесенный инфаркт миокарда и комбинированная сердечнососудистая КТ, включавшая смерть от ССЗ, новые случаи инфаркта миокарда, острого нарушения мозгового кровообращения, ишемической болезни сердца и реваскуляризации. Медиана наблюдения за смертностью составила 5,5 лет. Всего в анализ включено 1120 человек в возрасте 35-64 лет.</p></sec><sec><title>Результаты</title><p>Результаты. Анализ ассоциаций SCORE (Systematic COronary Risk Evaluation) и cТnI показал существенную разницу в стратификации риска по этим двум показателям. У женщин в категории высокого риска развития комбинированных сердечно-сосудистых событий (ССС) по уровню cTnI КТ не наблюдалось совсем. У мужчин умеренного и высокого риска доля КТ увеличивается с увеличением риска по cTnI. Кривые выживаемости, соответствующие первым 3-м квинтилям распределения по cTnI, не расходились, и, следовательно, количество ССС в этих группах не различалось. В то же время кривые, соответствующие 4-му и 5-му квинтилям, значимо отличались от первых 3-х, что свидетельствует о более высоком риске ССС у обследуемых из этих групп (p&lt;0,001). Учитывая, что в группе высокого риска по уровню сТп1 было всего 3 КТ, был проведен анализ выживаемости для низкого риска vs умеренного и высокого. Полученные кривые достоверно расходятся (р=0,006). Для оценки связи между уровнем cTnI и КТ анализировали модели пропорциональных рисков Кокса. Показано, что сам по себе cТnI или его логарифм значимо ассоциирован с жесткими и комбинированными КТ. Отрезная точка уровня cTnI, равная 12/10 пг/мл (мужчины/ женщины), была связана с жесткой КТ, а точка 6/4 пг/мл — с комбинированной КТ. Следует отметить, что рекомендованная отрезная точка 6/4 пг/мл близка к верхнему квартилю распределения cTnI в европейской популяции. Для населения РФ верхний квартиль соответствует уровню cTnI 3,5/2,1 пг/мл, что свидетельствует о необходимости снижения критических значений cТnI в российской популяции. Для оценки реклассификации риска были проанализированы модели Кокса с использованием индекса реклассификации NRI (Net Reclassification Index), NRIsurvival для анализа выживаемости. Для категориальных переменных использовали категориальный индекс реклассификации NRIcategorial. Оба метода включения cTnI в модель значимо улучшают классификацию риска жестких КТ у мужчин.</p></sec><sec><title>Заключение</title><p>Заключение. Полученные результаты подтверждают необходимость снижения пороговых значений для прогнозирования комбинированной КТ, в частности, у российских мужчин. cТnI обладает самостоятельным влиянием на возникновение любых ССС и добавление его к SCORE улучшает прогнозирование рисков этих событий среди мужчин. Однако полученные данные являются предварительными и требуют уточнения на большем объеме обследованных. Вместе с тем, очевидно, что определение уровня cТnI может играть значительную роль в оценке сердечно-сосудистого риска и быть маркером неблагоприятного прогноза в российской популяции.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Aim</title><p>Aim. As part of a pilot study, to investigate the potential significance of cardiac troponin I (cTnI) in assessing the risk of cardiovascular diseases (CVD) in general population aged 35-64 years of one of the regions from the ESSE-RF study.</p></sec><sec><title>Material and methods</title><p>Material and methods. The study is based on the ESSE-RF observational prospective study using a sample from one Russian region. The analysis included socio-demographic variables, risk factors, history of CVD. The cTnI level was measured from November to December 2021 in serum samples stored at -70° C using high sensitivity chemiluminescent microparticle immunoassay using Architect Stat High Sensitivity Troponin I (Abbott) reagents on an Architect i2000SR immunoassay analyzer (Abbott, Abbot Park IL USA). The endpoints were hard (cardiovascular death and myocardial infarction) and composite endpoints (cardiovascular death, new cases of myocardial infarction, stroke, coronary artery disease and revascularization). The median follow-up was 5,5 years. In total, the analysis included 1120 people aged 35-64 years.</p></sec><sec><title>Results</title><p>Results. Analysis of the associations between Systematic Coronary Risk Evaluation (SCORE) and cTnI showed a significant difference in risk stratification for these two parameters. In women from cTnI-related high-risk category for cardiovascular events (CVE), there were no endpoints at all. In men of moderate and high risk, the proportion of endpoints increases with increasing cTnI-related risk. The survival curves corresponding to first 3 quintiles of cTnI risk distribution did not diverge, and, therefore, the number of CVEs in these groups did not differ. At the same time, the curves corresponding to 4th and 5th quintiles significantly differed from the first 3 quintiles, which indicates a higher CVE risk in subjects from these groups (p&lt;0,001). Considering that there were only 3 endpoints in cTnI-related high-risk group, a survival analysis was performed for low-risk versus moderate-high risk. The curves obtained diverge significantly (p=0.006). Cox proportional hazards models were analyzed to assess the relationship between the cTnI level and endpoints. It was shown that cTnI itself or its logarithm is significantly associated with hard and composite endpoints. The cTnI cut-off point of 12/10 pg/ml (males/females) was associated with hard endpoint, and 6/4 pg/ml — with composite one. It should be noted that the recommended cut-off point of 6/4 pg/ml is close to the upper quartile of cTnI distribution in the European population. For the Russian population, the upper quartile corresponds to cTnI level of 3,5/2,1 pg/ml, which indicates the need to reduce the critical cTnI values in Russia. To assess risk reclassification, Cox models were analyzed using the Net Reclassification Index (NRI), as well as NRIsurvival for survival analysis. For categorical variables, the NRIcategorial was used. Both methods of including cTnI in the model significantly improve the risk classification of severe endpoints in men.</p></sec><sec><title>Conclusion</title><p>Conclusion. The results obtained confirm the need to lower the threshold values for predicting combined endpoints, in particular, in Russian men. cTnl has an independent effect on CVE risk and its addition to SCORE improves the prediction of CVEs among men. However, the data obtained are preliminary and require clarification sing larger sample. At the same time, it is obvious that the determination of cТnI level can play a significant role in cardiovascular risk assessment and be an unfavorable prognosis marker among Russian population.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>ЭССЕ-РФ</kwd><kwd>сердечно-сосудистый риск</kwd><kwd>смертность</kwd><kwd>тропонин</kwd><kwd>сердечный тропонин</kwd></kwd-group><kwd-group xml:lang="en"><kwd>ESSE-RF</kwd><kwd>cardiovascular risk</kwd><kwd>mortality</kwd><kwd>troponin</kwd><kwd>cardiac troponin</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Исследование было выполнено при поддержке компании ЭББОТ (Abbot Diagnostics), США.  Авторы благодарят сотрудников отдела эпидемиологии хронических неинфекционных заболеваний, сотрудников лаборатории “Банк биологического материала” и Клиникодиагностической лаборатории ФГБУ “НМИЦ ТПМ” Минздрава.</funding-statement></funding-group><funding-group xml:lang="en"><funding-statement>The study was supported by Abbot Diagnostics, USA.  The authors are grateful to the staff of the Department of Epidemiology of Noncommunicable Diseases, the staff of the “Biological Material Bank” laboratory and the Clinical and Diagnostic Laboratory of the National Medical Research Center for Therapy and Preventive Medicine for preparing and managing the ESSE-RF study, performing biochemical analyzes and storing the material. Many thanks to the Vologda specialists who organized the data collection.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Wilson PW, D'Agostino R, Levy D. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97(18):1837-47. doi:10.1161/01.cir.97.18.1837.</mixed-citation><mixed-citation xml:lang="en">Wilson PW, D'Agostino R, Levy D. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97(18):1837-47. doi:10.1161/01.cir.97.18.1837.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Conroy RM, Pyorala K, Fitzgerald AP, et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003;24:987-1003. doi:10.1016/s0195-668x(03)00114-3.</mixed-citation><mixed-citation xml:lang="en">Conroy RM, Pyorala K, Fitzgerald AP, et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003;24:987-1003. doi:10.1016/s0195-668x(03)00114-3.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Hippisley-Cox C, Coupland Y. Vinogradova Y. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ. 2008;336:1475-82. doi:10.1136/bmj.39609.449676.25.</mixed-citation><mixed-citation xml:lang="en">Hippisley-Cox C, Coupland Y. Vinogradova Y. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ. 2008;336:1475-82. doi:10.1136/bmj.39609.449676.25.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Hajifathalian K, Ueda P, Lu Y. A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys. Lancet Diabetes Endocrinol. 2015;3(5):339-55. doi:10.1016/S2213-8587(15)00081-9.</mixed-citation><mixed-citation xml:lang="en">Hajifathalian K, Ueda P, Lu Y. A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys. Lancet Diabetes Endocrinol. 2015;3(5):339-55. doi:10.1016/S2213-8587(15)00081-9.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Jackson PR. Updated New Zealand cardiovascular disease riskbenefit prediction guide. BMJ. 2000;320:709-10. doi:10.1136/bmj.320.7236.709.</mixed-citation><mixed-citation xml:lang="en">Jackson PR. Updated New Zealand cardiovascular disease riskbenefit prediction guide. BMJ. 2000;320:709-10. doi:10.1136/bmj.320.7236.709.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Brindle P, Emberson J, Lampe F, et al. Predictive accuracy of the Framingham coronary risk score in British men: prospective cohort study. BMJ. 2003;327:1267-70. doi:10.1136/bmj.327.7426.1267.</mixed-citation><mixed-citation xml:lang="en">Brindle P, Emberson J, Lampe F, et al. Predictive accuracy of the Framingham coronary risk score in British men: prospective cohort study. BMJ. 2003;327:1267-70. doi:10.1136/bmj.327.7426.1267.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Sachdeva A, Cannon CP, Deedwania PC, et al. Lipid levels in patients hospitalized with coronary artery disease: an analysis of 136,905 hospitalizations in Get With The Guidelines. Am Heart J. 2009;157(1):111-7.e2. doi:10.1016/j.ahj.2008.08.010.</mixed-citation><mixed-citation xml:lang="en">Sachdeva A, Cannon CP, Deedwania PC, et al. Lipid levels in patients hospitalized with coronary artery disease: an analysis of 136,905 hospitalizations in Get With The Guidelines. Am Heart J. 2009;157(1):111-7.e2. doi:10.1016/j.ahj.2008.08.010.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Gerszten RE, Wang TJ. The search for new cardiovascular biomarkers. Nature. 2008;451:949-52. doi:10.1038/nature06802.</mixed-citation><mixed-citation xml:lang="en">Gerszten RE, Wang TJ. The search for new cardiovascular biomarkers. Nature. 2008;451:949-52. doi:10.1038/nature06802.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Miller M, Zhan M, Havas S. High attributable risk of elevated C-reactive protein level to con ventional coronary heart disease risk factors: the Third National Health and Nutrition Examination Survey. Arch Intern Med. 2005;165:2063-8. doi:10.1001/archinte.165.18.2063.</mixed-citation><mixed-citation xml:lang="en">Miller M, Zhan M, Havas S. High attributable risk of elevated C-reactive protein level to con ventional coronary heart disease risk factors: the Third National Health and Nutrition Examination Survey. Arch Intern Med. 2005;165:2063-8. doi:10.1001/archinte.165.18.2063.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Thygesen K, Alpert JS, Jaffe AS, et al. ESC Scientific Document Group. Fourth universal definition of myocardial infarction (2018). Eur Heart J. 2019;40:237-69. doi:10.1093/eurheartj/ehy462.</mixed-citation><mixed-citation xml:lang="en">Thygesen K, Alpert JS, Jaffe AS, et al. ESC Scientific Document Group. Fourth universal definition of myocardial infarction (2018). Eur Heart J. 2019;40:237-69. doi:10.1093/eurheartj/ehy462.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Blankenberg S, Salomaa V, Makarova N, et al. Troponin i and cardiovascular risk prediction in the general population: The BiomarCaRE consortium. Eur Heart J. 2016;37:2428-37. doi:10.1093/eurheartj/ehw172.</mixed-citation><mixed-citation xml:lang="en">Blankenberg S, Salomaa V, Makarova N, et al. Troponin i and cardiovascular risk prediction in the general population: The BiomarCaRE consortium. Eur Heart J. 2016;37:2428-37. doi:10.1093/eurheartj/ehw172.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Farmakis D, Mueller C, Apple FS, et al. High-sensitivity cardiac troponin assays for cardiovascular risk stratification in the general population. Eur Heart J. 2020;41(41):4050-6. doi:10.1093/eurheartj/ehaa083.</mixed-citation><mixed-citation xml:lang="en">Farmakis D, Mueller C, Apple FS, et al. High-sensitivity cardiac troponin assays for cardiovascular risk stratification in the general population. Eur Heart J. 2020;41(41):4050-6. doi:10.1093/eurheartj/ehaa083.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Farmakis D, Andreadou I, Aessopos A. High-sensitivity troponin assays: ready for prime-time use as surrogates of subclinical myocardial injury? JACC. 2012;60:166; author reply 168. doi:10.1016/j.jacc.2012.02.058.</mixed-citation><mixed-citation xml:lang="en">Farmakis D, Andreadou I, Aessopos A. High-sensitivity troponin assays: ready for prime-time use as surrogates of subclinical myocardial injury? JACC. 2012;60:166; author reply 168. doi:10.1016/j.jacc.2012.02.058.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Hughes MF, Ojeda F, Saarela O, et al. Association of Repeatedly Measured High-Sensitivity-Assayed Troponin I with Cardiovascular Disease Events in a General Population from the MORGAM/BiomarCaRE Study. Clin Chem. 2017;63(1):334-42. doi:10.1373/clinchem.2016.261172.</mixed-citation><mixed-citation xml:lang="en">Hughes MF, Ojeda F, Saarela O, et al. Association of Repeatedly Measured High-Sensitivity-Assayed Troponin I with Cardiovascular Disease Events in a General Population from the MORGAM/BiomarCaRE Study. Clin Chem. 2017;63(1):334-42. doi:10.1373/clinchem.2016.261172.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Научно-организационный комитет проекта ЭССЕ-РФ Эпидемиология сердечно-сосудистых заболеваний в различных регионах России (ЭССЕ-РФ). Обоснование и дизайн исследования. Профилактическая медицина. 2013;16(6):25-34.</mixed-citation><mixed-citation xml:lang="en">Scientific Organizing Committee of the ESSE-RF. Epidemiology of cardiovascular diseases in different regions of Russia (ESSE-RF). The rationale for and design of the study. Preventive Medicine. 2013;16(6):25-34. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Pokrovskaya MS, Sivakova OV, Efimova IA, et al. Biobanking as a necessary tool for research in the field of personalized medicine in the scientific medical center. Pers Med. 2019;16(6):501-9. doi:10.2217/pme-2019-0049.</mixed-citation><mixed-citation xml:lang="en">Pokrovskaya MS, Sivakova OV, Efimova IA, et al. Biobanking as a necessary tool for research in the field of personalized medicine in the scientific medical center. Pers Med. 2019;16(6):501-9. doi:10.2217/pme-2019-0049.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Uno H, Cai T, Pencina MJ, et al. On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data. Stat Med. 2011;30(10):1105-17. doi:10.1002/sim.4154.</mixed-citation><mixed-citation xml:lang="en">Uno H, Cai T, Pencina MJ, et al. On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data. Stat Med. 2011;30(10):1105-17. doi:10.1002/sim.4154.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Pencina MJ, D'Agostino Sr RB, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med. 2011;30(1):11-21. doi:10.1002/sim.4085.</mixed-citation><mixed-citation xml:lang="en">Pencina MJ, D'Agostino Sr RB, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med. 2011;30(1):11-21. doi:10.1002/sim.4085.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Jia X, Sun W, Hoogeveen RC, et al. High-Sensitivity Troponin I and Incident Coronary Events, Stroke, Heart Failure Hospitalization, and Mortality in the ARIC Study. Circulation. 2019;139(23):2642-53. doi:10.1161/CIRCULATIONAHA.118.038772.</mixed-citation><mixed-citation xml:lang="en">Jia X, Sun W, Hoogeveen RC, et al. High-Sensitivity Troponin I and Incident Coronary Events, Stroke, Heart Failure Hospitalization, and Mortality in the ARIC Study. Circulation. 2019;139(23):2642-53. doi:10.1161/CIRCULATIONAHA.118.038772.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Omland T, de Lemos JA, Holmen OL, et al. Impact of sex on the prognostic value of high-sensitivity cardiac troponin I in the general population: the HUNT study. Clin Chem. 2015;61:646-56. doi:10.1373/clinchem.2014.234369.</mixed-citation><mixed-citation xml:lang="en">Omland T, de Lemos JA, Holmen OL, et al. Impact of sex on the prognostic value of high-sensitivity cardiac troponin I in the general population: the HUNT study. Clin Chem. 2015;61:646-56. doi:10.1373/clinchem.2014.234369.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Lyngbakken MN, Rosjo H, Holmen OL, et al. Gender, high-sensitivity troponin I, and the risk of cardiovascular events (from the Nord-Trondelag Health Study). Am J Cardiol. 2016;118:816-21. doi:10.1016/j.amjcard.2016.06.043.</mixed-citation><mixed-citation xml:lang="en">Lyngbakken MN, Rosjo H, Holmen OL, et al. Gender, high-sensitivity troponin I, and the risk of cardiovascular events (from the Nord-Trondelag Health Study). Am J Cardiol. 2016;118:816-21. doi:10.1016/j.amjcard.2016.06.043.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Thorsteinsdottir I, Aspelund T, Gudmundsson E, et al. High-sensitivity cardiac troponin I is a strong predictor of cardiovascular events and mortality in the AGES-Reykjavik community-based cohort of older individuals. Clin Chem. 2016;62:623-30. doi:10.1373/clinchem.2015.250811.</mixed-citation><mixed-citation xml:lang="en">Thorsteinsdottir I, Aspelund T, Gudmundsson E, et al. High-sensitivity cardiac troponin I is a strong predictor of cardiovascular events and mortality in the AGES-Reykjavik community-based cohort of older individuals. Clin Chem. 2016;62:623-30. doi:10.1373/clinchem.2015.250811.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Eggers KM, Johnston N, Lind L, et al. Cardiac troponin I levels in an elderly population from the community — the implications of sex. Clin Biochem. 2015;48:751-6. doi:10.1016/j.clinbiochem.2015.04.013.</mixed-citation><mixed-citation xml:lang="en">Eggers KM, Johnston N, Lind L, et al. Cardiac troponin I levels in an elderly population from the community — the implications of sex. Clin Biochem. 2015;48:751-6. doi:10.1016/j.clinbiochem.2015.04.013.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Huynh K. Troponin I in CVD risk prediction. Nat Rev Cardiol. 2019;16:386. doi:10.1038/s41569-019-0212-3.</mixed-citation><mixed-citation xml:lang="en">Huynh K. Troponin I in CVD risk prediction. Nat Rev Cardiol. 2019;16:386. doi:10.1038/s41569-019-0212-3.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
