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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">vmireaviz</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник медицинского института «РЕАВИЗ». Реабилитация, Врач и Здоровье</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of the Medical Institute "REAVIZ" (REHABILITATION, DOCTOR AND HEALTH)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2226-762X</issn><issn pub-type="epub">2782-1579</issn><publisher><publisher-name>РЕАВИЗ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.20340/vmi-rvz.2024.2.COVID.1</article-id><article-id custom-type="elpub" pub-id-type="custom">vmireaviz-957</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>Новая коронавирусная инфекция COVID-19</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Novel coronavirus infection COVID-19</subject></subj-group></article-categories><title-group><article-title>Прогнозирование тяжести течения новой коронавирусной инфекции COVID-19 у пациентов с хроническим гепатитом C</article-title><trans-title-group xml:lang="en"><trans-title>COVID-19 severity prediction in patients with chronic hepatitis C depending on the liver fibrosis stage</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4283-1481</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Темник</surname><given-names>Е. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Temnik</surname><given-names>E. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Темник Елизавета Игоревна, Ассистент кафедры инфекционных болезней с эпидемиологией</p><p>ул. Чапаевская, д. 89, г. Самара, 443099</p></bio><bio xml:lang="en"><p>Elizaveta I. Temnik, Assistant of the Department of Infectious Diseases with Epidemiology</p><p>89, Chapaevskaya str., Samara, 443099</p></bio><email xlink:type="simple">elizabeth_temnik@outlook.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6177-8487</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Константинов</surname><given-names>Д. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Konstantinov</surname><given-names>D. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Константинов Дмитрий Юрьевич, Д-р мед. наук, доцент, заведующий кафедрой инфекционных болезней с эпидемиологией</p><p>ул. Чапаевская, д. 89, г. Самара, 443099</p></bio><bio xml:lang="en"><p>Dmitriy Yu. Konstantinov, Dr. Sci. (Med.), Docent, Head of the Department of Infectious Diseases with Epidemiology</p><p>89, Chapaevskaya str., Samara, 443099</p></bio><email xlink:type="simple">d.u.konstantinov@samsmu.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/0000-0003-0549-361X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Попова</surname><given-names>Л. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Popova</surname><given-names>L. L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Попова Лариса Леонидовна, Д-р мед. наук, профессор, профессор кафедры инфекционных болезней с эпидемиологией</p><p>ул. Чапаевская, д. 89, г. Самара, 443099</p></bio><bio xml:lang="en"><p>Larisa L. Popova, Dr. Sci. (Med.), Professor, Professor of the Department of Infectious Diseases with Epidemiology</p><p>89, Chapaevskaya str., Samara, 443099</p></bio><email xlink:type="simple">l.l.popova@samsmu.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/0000-0003-3845-5011</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Перстенева</surname><given-names>Н. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Persteneva</surname><given-names>N. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Перстенева Наталья Павловна, К-т экон. наук, доцент, доцент кафедры статистики и эконометри­ки</p><p>ул. Советской Армии, д. 141, г. Самара, 443090</p></bio><bio xml:lang="en"><p>Natal'ya P. Persteneva, Cand. Sci. (Econ.), Docent, Associate Professor of the Department of Statistics and Econometrics</p><p>141, Sovetskaya Armiya str., Samara, 443090</p></bio><email xlink:type="simple">persteneva_np@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Самарский государственный медицинской университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Samara State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Самарский государственный экономический университет</institution><country>Russian Federation</country></aff><aff xml:lang="en"><institution>Samara State University of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>18</day><month>04</month><year>2024</year></pub-date><volume>14</volume><issue>2</issue><fpage>6</fpage><lpage>11</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Темник Е.И., Константинов Д.Ю., Попова Л.Л., Перстенева Н.П., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Темник Е.И., Константинов Д.Ю., Попова Л.Л., Перстенева Н.П.</copyright-holder><copyright-holder xml:lang="en">Temnik E.N., Konstantinov D.Y., Popova L.L., Persteneva N.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://vestnik.reaviz.ru/jour/article/view/957">https://vestnik.reaviz.ru/jour/article/view/957</self-uri><abstract><p>Цель исследования – разработать способ оценки риска тяжести новой коронавирусной инфекции COVID-19 у пациентов в сочетании с хроническим гепатитом С в зависимости от выраженности фиброза печени.</p><sec><title>Объект и методы</title><p>Объект и методы. Проведён анализ результатов лабораторного обследования пациентов в острый период новой коронавирусной инфекции COVID-19 в сочетании с хроническим гепатитом С (n = 147). По выраженности имеющегося фиброза печени пациенты с COVID-19 и хроническим гепатитом С распределились на три подгруппы: слабовыраженный фиброз (F1), умеренный фиброз (F2), выраженный фиброз (F3). В сыворотке крови были оценены показатели общего и биохимического (С-реактивный белок, лактатдегидрогеназа, аланинаминотрансфераза, аспартатаминотрансфераза, гамма-глутамилтранспептидаза, гамма-глобулины, ферритин) анализов крови, липидограммы (холестерина липопротеидов высокой плотности, триглицеридов, аполипопротеина А1, аполипопротеина В), гемостаза (фибриноген, активированное частичное тромбопластиновое время), цитокинокинов (интерлейкин-2, фактор некроза опухоли-α).</p></sec><sec><title>Результаты</title><p>Результаты. Разработан способ для прогнозирования степени тяжести COVID-19 у пациентов с хроническим гепатитом С с учётом стадии фиброза печени, который может быть использован в клинической практике.  </p></sec></abstract><trans-abstract xml:lang="en"><p>The aim of the study was to develop a method for assessing the risk of severity of the novel coronavirus infection COVID-19 in patients with chronic hepatitis C depending on the severity of liver fibrosis.</p><sec><title>Object and methods</title><p>Object and methods. The results of laboratory data of patients with COVID-19 and chronic hepatitis C (n = 147) were analyzed. According to the severity of liver fibrosis, patients with COVID-19 with chronic hepati­tis C were divided into 3 subgroups: mild fibrosis (F1), moderate fibrosis (F2), severe fibrosis (F3). In blood serum, the parameters of total and biochemical (C-reactive protein, lactate dehydrogenase, alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transpeptidase, gamma-globulins, ferritin) blood tests, lipid profile (high-density lipoprotein cholesterol, triglycerides, apolipoprotein A1, apolipoprotein B), hemostasis (fibrinogen, activated partial thromboplastin time), cytokines (interleukin-2, tumor necrosis factor-а). All parameters were assessed in the acute period, depending on the severity of COVID-19 and the stage of liver fibrosis.</p></sec><sec><title>Outcomes</title><p>Outcomes. Computer program for predicting the severi­ty of COVID-19 in patients with chronic hepatitis C, depending on the stage of liver fibrosis, can be introduced into clinical practice for managing patients in the certain group.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>COVID-19</kwd><kwd>хронический гепатит С</kwd><kwd>прогноз степени тяжести</kwd><kwd>программа ЭВМ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>COVID-19</kwd><kwd>chronic hepatitis C</kwd><kwd>prognosis of severity</kwd><kwd>computer program</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">World Health Organization (WHO). WHO Coronavirus (COVID-19) Dashboard Global Situation. Geneva: WHO; 2022. Avaible from: https://covid19.who.int/ Accessed [1/15/23]</mixed-citation><mixed-citation xml:lang="en">1 World Health Organization (WHO). WHO Coronavirus (COVID-19) Dashboard Global Situation. 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Program for predicting the severity of the course of the new coronavirus infection COVID-19 in patients with chronic hepatitis C : No. 2024614478 : application 02/29/2024 : publ. 03/11/2024 / E.I. Temnik, D.Y. Konstantinov, L.L. Popova ; applicant Federal State Budgetary Educational Institution of Higher Education "Samara State Medical University" of the Ministry of Health of the Russian Federation. (In Russ).</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>
