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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">cardio</journal-id><journal-title-group><journal-title xml:lang="ru">Кардиология</journal-title><trans-title-group xml:lang="en"><trans-title>Kardiologiia</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0022-9040</issn><issn pub-type="epub">2412-5660</issn><publisher><publisher-name>Kardiomag</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18087/cardio.2020.2.n964</article-id><article-id custom-type="elpub" pub-id-type="custom">cardio-1082</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>RESEARCH ARTICLES</subject></subj-group></article-categories><title-group><article-title>Разработка алгоритма диагностики доклинического атеросклероза у пациентов из группы высокого риска развития сердечно-сосудистых заболеваний</article-title><trans-title-group xml:lang="en"><trans-title>Prediction of Subclinical Coronary Atherosclerosis in Patients with High and Very High Cardiovascular Risk</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>Погосова</surname><given-names>Н. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Pogosova</surname><given-names>N. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Погосова Нана ВачиковнаМосква</p></bio><bio xml:lang="en"><p>Moscow</p></bio><email xlink:type="simple">nanapogosova@gmail.com</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>Юферева</surname><given-names>Ю. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Yufereva</surname><given-names>Y. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Качанова</surname><given-names>Н. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Kachanova</surname><given-names>N. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><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>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Колтунов</surname><given-names>И. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Koltunov</surname><given-names>I. Y.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-4"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Воронина</surname><given-names>В. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Voronina</surname><given-names>V. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мазаев</surname><given-names>А. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Mazaev</surname><given-names>A. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Московская область</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-5"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Арутюнов</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Arutyunov</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Выгодин</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Vygodin</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБУ «Национальный медицинский исследовательский центр кардиологии» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>National Medical Research Center for Cardiology of the Ministry of Healthcare, Moscow, Russia</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ГБУЗ «Городская поликлиника No180» Департамента здравоохранения г. Москвы</institution><country>Россия</country></aff><aff xml:lang="en"><institution>State Budgetary Institution City Polyclinic #180, Moscow, Russia</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>ФГБУ «Национальный медицинский исследовательский центр профилактической медицины» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>National Medical Research Center for Preventive Medicine of the Ministry of Healthcare, Moscow, Russia</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru"><institution>ФГАОУ ВО «Российский университет дружбы народов» (РУДН)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>RUDN University, Moscow, Russia</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-5"><aff xml:lang="ru"><institution>ГБУЗ Московской области «Одинцовская центральная районная больница»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Morozov Children’s City Clinical Hospital, Moscow, Russia</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>05</day><month>03</month><year>2020</year></pub-date><volume>60</volume><issue>2</issue><fpage>75</fpage><lpage>82</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Kardiomag, 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Kardiomag</copyright-holder><copyright-holder xml:lang="en">Kardiomag</copyright-holder><license xlink:href="https://cardio.elpub.ru/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://cardio.elpub.ru/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://cardio.elpub.ru/jour/article/view/1082">https://cardio.elpub.ru/jour/article/view/1082</self-uri><abstract><sec><title>Цель исследования</title><p>Цель исследования. Разработка нового диагностического подхода к выявлению доклинического атеросклероза у лиц с высоким и очень высоким риском развития сердечно-сосудистых заболеваний (ССЗ).</p></sec><sec><title>Материал и методы</title><p>Материал и методы. Проведено поперечное одномоментное исследование с участием 52 пациентов (62% мужчин) 40–65 лет (средний возраст 54,6±8,0 года) с высоким и очень высоким суммарным риском развития ССЗ (5–9 и ≥10% по шкале SCORE соответственно). Определялись традиционные факторы риска (ФР) развития ССЗ (отягощенный по ССЗ семейный анамнез, избыточная масса тела/ожирение и абдоминальное ожирение, курение, артериальная гипертония, сахарный диабет). Всем пациентам проводились мультиспиральная компьютерная томография (МСКТ) с контрастированием и расчетом индекса кальцификации коронарных артерий, проба с физической нагрузкой, дуплексное сканирование сонных артерий с оценкой толщины интимы–медии, определялись лодыжечно-плечевой индекс, жесткость сосудистой стенки с помощью отечественного аппарата «Ангиоскан», показатели липидного состава крови (общий холестерин, холестерин липопротеинов высокой и низкой плотности, триглицериды, апо-А1, апо-В), глюкоза, высокочувствительный С-реактивный белок и фибриноген. Для оценки психологического статуса пациентов использовалась Госпитальная шкала тревоги и депрессии, для выявления типа личности D – опросник DS-14.</p></sec><sec><title>Результаты</title><p>Результаты. В соответствии с данными МСКТ пациенты были разделены на 2 группы: с наличием стенозов и/или кальцинатов коронарных артерий (n=21) и интактными артериями (n=31). При проведении однофакторного анализа были установлены достоверные ассоциации субклинического поражения коронарных артерий (наличие кальцинатов и/или стенозов) по данным МСКТ с очень высоким риском развития ССЗ (≥10% по шкале SCORE), длительным течением артериальной гипертонии (≥5 лет), длительным приемом антигипертензивной терапии и повышенной жесткостью сосудистой стенки (скорость пульсовой волны ≥10 м/с). Для проведения многофакторного линейного регрессионного анализа были разработаны и проанализированы 26 моделей. Определена наиболее информативная многофакторная линейная регрессионная модель (величины коэффициента детерминации регрессии R-square=0,3443; общая значимость модели p=0,0008, чувствительность 63% и специфичность 80%).</p></sec><sec><title>Заключение</title><p>Заключение. Разработанная многофакторная линейная регрессионная модель позволяет с высокой степенью вероятности предполагать наличие субклинического атеросклероза коронарных артерий у пациентов с высоким и очень высоким риском развития ССЗ. Это доступный, несложный в использовании метод, который можно применять в повседневной клинической практике для улучшения стратификации риска развития ССЗ, что позволит выбрать наиболее рациональную лечебно-профилактическую тактику, направленную на предотвращение сердечно-сосудистых осложнений.</p></sec></abstract><trans-abstract xml:lang="en"><p>Objective To develop a diagnostic rule for detection of patients (pts) with high probability of subclinical atherosclerosis among those with high or very high cardiovascular (CV) risk.Materials and Methods This cross-sectional study enrolled 52 pts (32 men [62 %]), aged 40 to 65 years [mean age 54.6±8.0]) with high or very high CV risk (5–9 and ≥10 % by The Systematic Coronary Risk Estimation Scale [SCORE], respectively). All participants underwent cardiac computed tomography (CT) angiography and calcium scoring. Traditional risk factors (RFs) (family history of premature CVD, smoking, overweight / obesity and abdominal obesity, hypertension, type 2 diabetes mellitus, lipids parameters (total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides) and lipids-related markers (apolipoprotein A1, apolipoprotein B, ApoB / ApoA1 ratio), biomarkers of inflammation (high-sensitivity C-reactive protein [hs CRP], fibrinogen), indicator carbohydrate metabolism (glucose), ankle-brachial index, stress-test, carotid plaques according to ultrasound were evaluated in all pts. Psychological RFs were evaluated using Hospital Anxiety and Depression Scale and DS-14 for type D personality.Results All pts were divided into 2 groups according to the CT angiography results: pts in the main group (n=21) had any non-obstructive lesions or calcium score &gt;0, pts in the control group (n=31) had intact coronary arteries. The groups did not differ in age or gender. 26 multiple linear logistic models for any subclinical atherosclerosis were developed based on obtained diagnostic features. Taking into account R-square = 0.344 (p=0.0008), the best fitting model was follows: subclinical coronary atherosclerosis= –1.576 + 0.234 x SCORE ≥5 % + 0.541 x hs CRP &gt;2 g / l +0.015 x heart rate (bpm) +0.311 family history of premature CVD. The developed algorithm had sensitivity of 63 % and specificity of 80 %.Conclusion The created diagnostic model diagnostic model suggests the presence of subclinical coronary atherosclerosis in patients with high / very high CV risk with a high degree of probability. This easy-to-use method can be used in routine clinical practice to improve risk stratification and management choices in high-risk pts.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>доклинический атеросклероз</kwd><kwd>высокий риск развития сердечно-сосудистых заболеваний</kwd><kwd>факторы риска</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Subclinical atherosclerosis</kwd><kwd>high cardiovascular risk</kwd><kwd>risk factors</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">Бойцов С.А., Погосова Н.В., Бубнова М.Г., Драпкина О.М., Гаврилова Н.Е., Еганян Р.А. и др. Кардиоваскулярная профилактика 2017. Российские национальные рекомендации. Российский кардиологический журнал. 2018;23(6):7–122. DOI: 10.15829/1560-4071-2018-6-7-122</mixed-citation><mixed-citation xml:lang="en">Boytsov S.A., Pogosova N.V., Bubnova M.G., Drapkina O.M., Gavrilova N.E., Yeganyan R.A. et al. 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