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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">russjcardiol</journal-id><journal-title-group><journal-title xml:lang="ru">Российский кардиологический журнал</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Cardiology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1560-4071</issn><issn pub-type="epub">2618-7620</issn><publisher><publisher-name>«SILICEA-POLIGRAF» LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.15829/1560-4071-2018-1-32-36</article-id><article-id custom-type="elpub" pub-id-type="custom">russjcardiol-2520</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>ОРИГИНАЛЬНЫЕ СТАТЬИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL ARTICLES</subject></subj-group></article-categories><title-group><article-title>БИОМАРКЕРЫ МИОКАРДИАЛЬНОГО СТРЕССА И ФИБРОЗА В ОПРЕДЕЛЕНИИ КЛИНИЧЕСКИХ  ИСХОДОВ У ПАЦИЕНТОВ С СЕРДЕЧНОЙ НЕДОСТАТОЧНОСТЬЮ, ПЕРЕНЕСШИХ ИНФАРКТ  МИОКАРДА</article-title><trans-title-group xml:lang="en"><trans-title>BIOMARKERS OF MYOCARDIAL STRESS AND FIBROSIS FOR CLINICAL OUTCOMES ASSESSMENT  IN POST MYOCARDIAL INFARCTION HEART FAILURE PATIENTS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шиляева</surname><given-names>Н. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Shilyaeva</surname><given-names>N V</given-names></name></name-alternatives><bio xml:lang="ru"/><email xlink:type="simple">rogdestvenskaja@rambler.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Щукин</surname><given-names>Ю. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Shchukin</surname><given-names>Y V</given-names></name></name-alternatives><bio xml:lang="ru"><p>Профессор, доктор медицинских наук, заведующий кафедрой пропедевтической терапии</p></bio><email xlink:type="simple">samgmu_pt@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лимарева</surname><given-names>Л. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Limareva</surname><given-names>L V</given-names></name></name-alternatives><bio xml:lang="ru"><p>Доцент, доктор биологических наук, ведущий научный сотрудник Института экспериментальной медицины и биотехнологий</p></bio><email xlink:type="simple">larisa-limareva@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Данильченко</surname><given-names>О. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Danilchenko</surname><given-names>O P</given-names></name></name-alternatives><bio xml:lang="ru"><p>Главный специалист Института экспериментальной медицины и биотехнологий</p></bio><email xlink:type="simple">o.dani@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО Самарский государственный медицинский университет Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Samara State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>08</day><month>03</month><year>2018</year></pub-date><volume>0</volume><issue>1</issue><fpage>32</fpage><lpage>36</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Шиляева Н.В., Щукин Ю.В., Лимарева Л.В., Данильченко О.П., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Шиляева Н.В., Щукин Ю.В., Лимарева Л.В., Данильченко О.П.</copyright-holder><copyright-holder xml:lang="en">Shilyaeva N.V., Shchukin Y.V., Limareva L.V., Danilchenko O.P.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" 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://russjcardiol.elpub.ru/jour/article/view/2520">https://russjcardiol.elpub.ru/jour/article/view/2520</self-uri><abstract><sec><title>Цель</title><p>Цель. Оценить прогностическое значение ST2 и N-концевого фрагмента предшественника мозгового натрийуретического пептида (NT-proBNP) у пациентов с хронической сердечной недостаточностью (СН) ишемической этиологии.</p></sec><sec><title>Материал и методы</title><p>Материал и методы. Исследование включило 127 пациентов с СН, перенесших инфаркт миокарда (медиана возраста 57 лет, фракция выброса левого желудочка — 54%), которые последовательно поступили в Клинику. Концентрации биомаркеров, отражающих миокардиальный стресс (NT-proBNP) и фиброз и ремоделирование желудочков (ST2), определяли в сыворотке крови методом иммуноферментного анализа; конечная точка представлена смертностью от всех причин и повторными госпитализациями за 9-месячный период наблюдения.</p></sec><sec><title>Результаты</title><p>Результаты. Уровни ST2 и NT-proBNP оказались выше у пациентов с неблагоприятными исходами (n=19) в сравнении с пациентами без повторных сердечно-сосудистых событий (р=0,004 и 0,001, соответственно). Receiver operating characteristic (ROC) анализ для предсказания исходов определил оптимальные пороговые значения 43,6 нг/мл для ST2 и 285 пг/мл для NTproBNP. При сравнении ROC-кривых биомаркеры имели сопоставимые площади под кривой (р=0,659). В бинарной регрессионной модели статистически значимыми предикторами для комбинированной конечной точки были ST2, NT-proBNP и традиционные факторы риска (функциональный класс New York Heart Association, аневризма левого желудочка, инсульт в анамнезе, рассчитанная скорость клубочковой фильтрации &lt;90 мл/мин/1,73 м2). Модель имела площадь под кривой 0,900 (p&lt;0,001).</p></sec><sec><title>Заключение</title><p>Заключение. ST2 и NT-proBNP являются значимыми предикторами неблагоприятных клинических исходов у пациентов с СН, перенесших инфаркт миокарда.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Aim</title><p>Aim. To assess the prognostic significance of the ST2 and N-terminal pre-brain natriuretic peptide (NT-proBNP) in patients with chronic heart failure (CHF) of ischemic origin.</p></sec><sec><title>Material and methods</title><p>Material and methods. The study included 127 patients with CHF, post myocardial infarction (age median 57 y. o., left ventricle ejection fraction — 54%), consequently admitted at Clinic. The biomarker concentrations representing myocardial stress (NT-proBNP) and fibrosis with remodeling of the ventricles (ST2) were measured with the immune enzyme assay. Endpoint was all-cause mortality and repeat hospitalizations during 9-month follow-up.</p></sec><sec><title>Results</title><p>Results. Levels of ST2 and NT-proBNP were higher in adverse outcome patients (n=19) comparing to the patients with no repeat cardiovascular events (р=0,004 and 0,001, respectively). Receiver operating characteristic (ROC) analysis for outcomes prediction defined the optimal threshold values of 43,6 ng/mL for ST2 and 285 pg/mL for NT-proBNP. In comparison of ROC-curves, biomarkers had comparable areas under the curves (p=0,659). In binary regression model, statistically significant predictors for combination endpoint were ST2, NT-proBNP and traditional risk factors (class by New York Heart Association, left ventricle aneurysm, stroke anamnesis, estimated glomerular filtration rate &lt;90 mL/min/1,73 m2). The model had the under-curve-area 0,900 (p&lt;0,001).</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>сердечная недостаточность</kwd><kwd>биомаркеры</kwd><kwd>ST2</kwd><kwd>NT-proBNP</kwd></kwd-group><kwd-group xml:lang="en"><kwd>heart failure</kwd><kwd>biomarkers</kwd><kwd>ST2</kwd><kwd>NT-proBNP</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Braunwald E. Heart failure. JACC Heart Fail 2013; 1 (1): 1-20. DOI: 10.1016/j.jchf.2012.10.002.</mixed-citation><mixed-citation xml:lang="en">Braunwald E. Heart failure. JACC Heart Fail 2013; 1 (1): 1-20. DOI: 10.1016/j.jchf.2012.10.002.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Bayes-Genis A, Richards AM, Maisel AS, et al. Multimarker testing with ST2 in chronic heart failure. Am J Cardiol 2015; 115 (7 Suppl): 76B-80B. 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