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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">uprinmatus</journal-id><journal-title-group><journal-title xml:lang="ru">Известия Юго-Западного государственного университета. Серия: Управление, вычислительная техника, информатика. Медицинское приборостроение</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2223-1536</issn><publisher><publisher-name>Юго-Западный государственный университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21869/2223-1536-2023-13-3-8-20</article-id><article-id custom-type="elpub" pub-id-type="custom">uprinmatus-136</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>ИНФОРМАЦИОННЫЕ И ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INFORMATION AND INTELLIGENT SYSTEMS</subject></subj-group></article-categories><title-group><article-title>Корреляционные связи и алгоритмизация анализа цитокинового статуса пациентов с ишемической болезнью сердца в раннем периоде выздоровления после COVID-19</article-title><trans-title-group xml:lang="en"><trans-title>Correlations and Algorithmization of Cytokine Status Analysis of Patients with Coronary Heart Disease in the Early Recovery Period After COVID-19</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5318-1544</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Негребецкий</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Negrebetskiy</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Негребецкий Виктор Анатольевич, ординатор</p><p>ул. Островитянова, д. 1, г. Москва 117997</p></bio><bio xml:lang="en"><p>Viktor A. Negrebetskiy, Resident</p><p>Ostrovityanova Str., Moscow 117997</p></bio><email xlink:type="simple">negrebeckiy99@mail.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/0000-0001-5607-5747</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гонтарев</surname><given-names>С. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Gontarev</surname><given-names>S. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гонтарев Сергей Николаевич, доктор медицинских наук, профессор, заведующий кафедрой детской стоматологии</p><p>пр-т Победы, д. 85, г. Белгород 308015</p></bio><bio xml:lang="en"><p>Sergey N. Gontarev, Dr. of Sci. (Medical), Professor, Head of the Department of Pediatric Dentistry</p><p>85 Pobedy Ave., Belgorod 308015</p></bio><email xlink:type="simple">znamisng@mail.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/0000-0002-2943-6858</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Иванов</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Ivanov</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Иванов Виктор Афанасьевич, доктор медицинских наук, профессор кафедры анатомии человека</p><p>ул. Карла Маркса, д. 3, г. Курск 305041</p><p> </p></bio><bio xml:lang="en"><p>Viktor A. Ivanov, Dr. of Sci. (Medical), Professor of the Department of Human Anatomy</p><p>3 Karl Marx Str., Kursk 305041</p></bio><email xlink:type="simple">va_vanov@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Российский национальный исследовательский медицинский университет им. Н. И. Пирогова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>N. I. Pirogov Russian National Research Medical  University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Белгородский государственный национальный исследовательский университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Belgorod State National Research University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Курский государственный медицинский университет Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Kursk State Medical University Ministry of Health of Russia</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>27</day><month>01</month><year>2024</year></pub-date><volume>13</volume><issue>3</issue><fpage>8</fpage><lpage>20</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Негребецкий В.А., Гонтарев С.Н., Иванов В.А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Негребецкий В.А., Гонтарев С.Н., Иванов В.А.</copyright-holder><copyright-holder xml:lang="en">Negrebetskiy V.A., Gontarev S.N., Ivanov V.A.</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://uprinmatus.elpub.ru/jour/article/view/136">https://uprinmatus.elpub.ru/jour/article/view/136</self-uri><abstract><p>Цель исследования – изучение корреляционных связей и алгоритмизация анализа цитокинового статуса пациентов с ишемической болезнью сердца в раннем периоде выздоровления после COVID-19.</p><sec><title>Методы</title><p>Методы. Изучение цитокинового статуса выполнено у 40 пациентов с ишемической болезнью сердца через 3-4 недели после выздоровления от COVID-19. Контролем служили 38 пациентов с ишемической болезнью сердца без COVID-19. Уровень цитокинов в крови определяли на аппарате Becton Dickinson FACS Canto 2 (USA). При статистическом анализе применялись корреляционный и регрессионный анализы.</p></sec><sec><title>Результаты</title><p>Результаты. Установлены достоверные умеренные корреляционные связи между IL-6 и IL-2, IL-3, составляющие соответственно r = 0,35 и r = 0,33; IL-17 с IL-2 и IL-6 – r = 0,28 и r = 0,63 соответственно; TNF-α и IFN-γ с IL-6 – r = 0,42 и r = 0,39. При этом наибольшая ассоциация, согласно величинам коэффициентов корреляции, среди изученных интерлейкинов у пациентов с ИБС в период реконвалесценции характерна для IL6. Вместе с тем IL-17 имел также значительное число корреляционных связей с рассматриваемыми цитокинами. Всё это указывает на высокую ассоциированность IL-6, IL-17 и IFN-γ с другими цитокинами в период выздоровления пациентов с ИБС после перенесенного COVID-19 и их приоритетное участие в развитии и выздоровлении данных пациентов. Для выделения наиболее информативных цитокинов крови разработан алгоритм анализа цитокинового статуса, который предусматривает разработку нескорректированных и скорректированных математических моделей по полу и возрасту пациентов с ИБС, перенесших COVID-19. Установлено, что наибольшее влияние на выздоровление через 3-4 недели после перенесенного COVID-19 у пациентов с ишемической болезнью сердца оказывает уровень IL-17 в крови (OR = 1,792, p = 0,0021) в нескорректированной и скорректированной по полу и возрасту модели (OR = 1,708, p = 0,0012).</p></sec><sec><title>Заключение</title><p>Заключение. Установленные корреляционные связи, созданные алгоритм и модели предлагается использовать при оценке динамики выздоровления пациентов с ишемической болезнью сердца после COVID-19.</p></sec></abstract><trans-abstract xml:lang="en"><p>The purpose of research is study of correlations and algorithmization of cytokine status analysis of patients with coronary heart disease in the early recovery period after COVID-19.</p><sec><title>Methods</title><p>Methods. Cytokine status was studied in 40 patients with coronary heart disease 3-4 weeks after recovery from COVID19. The control consisted of 38 patients with coronary heart disease without COVID-19. The level of cytokines in the blood was determined on the device "Becton Dickinson FACS Canto 2 (USA)". Correlation and regression analysis were used in statistical analysis.</p></sec><sec><title>Results</title><p>Results. Reliable moderate correlations were established between IL-6 and IL-2, IL-3, respectively, r = 0,35 and r = 0,33; IL-17 with IL-2 and IL-6 – r = 0,28 and r = 0,63, respectively; TNF-α and IFN-γ with IL-6 – r = 0,42 and r = 0,39. At the same time, the greatest association, according to the values of the correlation coefficients, among the studied interleukins in patients with coronary heart disease during the convalescence period is characteristic of IL-6. However, IL-17 also had a significant number of correlations with the cytokines under consideration. All this indicates a high association of IL-6, IL-17 and IFN-γ with other cytokines during the recovery period of patients with coronary heart disease after COVID-19 and their priority participation in the development and recovery of these patients. To identify the most informative blood cytokines, an algorithm for analyzing the cytokine status has been developed, which provides for the development of uncorrected and adjusted mathematical models by gender and age of patients with coronary heart disease who have undergone COVID-19. It was found that the greatest effect on recovery 3-4 weeks after COVID-19 in patients with coronary heart disease has the level of IL-17 in the blood (OR = 1,792, p = 0,0021) in an uncorrected and adjusted by gender and age model (OR = 1,708, p = 0,0012).</p></sec><sec><title>Conclusion</title><p>Conclusion. The established correlations, algorithms and models created are proposed to be used in assessing thedynamics of recovery of patients with coronary heart disease after COVID-19.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>корреляционные связи</kwd><kwd>моделирование цитокинов</kwd><kwd>алгоритмизация</kwd><kwd>ассоциация цитокинов крови</kwd><kwd>COVID-19</kwd><kwd>ишемическая болезнь сердца</kwd></kwd-group><kwd-group xml:lang="en"><kwd>correlations</kwd><kwd>cytokine modeling</kwd><kwd>algorithmization</kwd><kwd>blood cytokine association</kwd><kwd>COVID-19</kwd><kwd>coronary heart disease</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">The Socio-Economic Implications of the Coronavirus Pandemic (COVID-19): A Review / M. Nicola, Z. Alsafi, C. Sohrabi, A. Kerwan, A. Al-Jabir, C. Iosifidis, M. Agha, R. Agha // Int. J. Surg. 2020. N 78. 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