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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Consilium Medicum</journal-id><journal-title-group><journal-title xml:lang="en">Consilium Medicum</journal-title><trans-title-group xml:lang="ru"><trans-title>Consilium Medicum</trans-title></trans-title-group><trans-title-group xml:lang="zh"><trans-title>Consilium Medicum</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2075-1753</issn><issn publication-format="electronic">2542-2170</issn><publisher><publisher-name xml:lang="en">Consilium Medicum</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">321475</article-id><article-id pub-id-type="doi">10.26442/20751753.2023.5.202251</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Decreased liver density as a potential predictor of severe COVID-19: a retrospective cohort study</article-title><trans-title-group xml:lang="ru"><trans-title>Снижение рентгеновской плотности печени как потенциальный предиктор тяжелого течения COVID-19: ретроспективное когортное исследование</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8521-4045</contrib-id><contrib-id contrib-id-type="spin">3164-5518</contrib-id><name-alternatives><name xml:lang="en"><surname>Shumskaya</surname><given-names>Yuliya F.</given-names></name><name xml:lang="ru"><surname>Шумская</surname><given-names>Юлия Федоровна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Res. Assist.</p></bio><bio xml:lang="ru"><p>мл. науч. сотр. отд. научных медицинских исследований, ассистент каф. госпитальной терапии №1 Института клинической медицины им. Н.В. Склифосовского</p></bio><email>shumskayayf@zdrav.mos.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7705-9754</contrib-id><contrib-id contrib-id-type="spin">6983-5991</contrib-id><name-alternatives><name xml:lang="en"><surname>Akhmedzyanova</surname><given-names>Dina A.</given-names></name><name xml:lang="ru"><surname>Ахмедзянова</surname><given-names>Дина Альфредовна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Laboratory Technician</p></bio><bio xml:lang="ru"><p>лаборант каф. госпитальной терапии №1 Института клинической медицины им. Н.В. Склифосовского</p></bio><email>dina_akhm@mail.ru</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9337-7453</contrib-id><contrib-id contrib-id-type="spin">2015-1822</contrib-id><name-alternatives><name xml:lang="en"><surname>Mnatsakanyan</surname><given-names>Marina G.</given-names></name><name xml:lang="ru"><surname>Мнацаканян</surname><given-names>Марина Генриковна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>D. Sci. (Med.)</p></bio><bio xml:lang="ru"><p>д-р мед. наук, зав. отд-нием гастроэнтерологии Университетской клинической больницы №1 Института клинической медицины им. Н.В. Склифосовского</p></bio><email>mnatsakanyan08@mail.ru</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies</institution></aff><aff><institution xml:lang="ru">ГБУЗ «Научно-практический клинический центр диагностики и телемедицинских технологий» Департамента здравоохранения г. Москвы</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Sechenov First Moscow State Medical University (Sechenov University)</institution></aff><aff><institution xml:lang="ru">ФГАОУ ВО «Первый Московский государственный медицинский университет им. И.М. Сеченова» Минздрава России (Сеченовский Университет)</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-05-15" publication-format="electronic"><day>15</day><month>05</month><year>2023</year></pub-date><volume>25</volume><issue>5</issue><issue-title xml:lang="en">Gastroenterology</issue-title><issue-title xml:lang="ru">Гастроэнтерология</issue-title><fpage>351</fpage><lpage>356</lpage><history><date date-type="received" iso-8601-date="2023-03-20"><day>20</day><month>03</month><year>2023</year></date><date date-type="accepted" iso-8601-date="2023-05-29"><day>29</day><month>05</month><year>2023</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2023, Consilium Medicum</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2023, ООО "Консилиум Медикум"</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Consilium Medicum</copyright-holder><copyright-holder xml:lang="ru">ООО "Консилиум Медикум"</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc-sa/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://consilium.orscience.ru/2075-1753/article/view/321475">https://consilium.orscience.ru/2075-1753/article/view/321475</self-uri><abstract xml:lang="en"><p><bold>Background. </bold>To stratify the risk in patients with COVID-19, it is important to understand the parameters that predispose to a severe course. Following risk factors were described: age over 60 years, overweight, male gender, chronic diseases: hypertension, diabetes mellitus. Low liver density on computed tomography (CT) is also considered as a potential risk factor.</p> <p><bold>Aim. </bold>To evaluation whether low liver density can be used as a predictor of severe COVID-19.</p> <p><bold>Materials and methods. </bold>Retrospective single-center cohort study. Patients with COVID-19 treated in a hospital setting, who underwent two CT scans of the thoracic organs in dynamics, were included. The patients were divided into groups according to the severity of the course (groups of moderate course, severe course and lethal outcome). Relation of the investigated factors was estimated using regression analysis.</p> <p><bold>Results. </bold>99 patients were enrolled; 3 comparison groups were formed (moderate-severe course n=37, severe course n=52, lethal outcome n=8). All groups significantly differed in C-reactive protein levels. According to multivariate regression analysis, COVID-19 severity was influenced by the liver to spleen density ratio as measured by CT scan on admission [odds ratio 12.18 (95% confidence interval 1.67–89.07); <italic>p</italic>=0.008].</p> <p><bold>Conclusion. </bold>Reduced liver density on CT scan in a patient with COVID-19 may be a predictor of severe course of novel coronavirus infection.</p></abstract><trans-abstract xml:lang="ru"><p><bold>Обоснование.</bold> Для стратификации риска у пациентов с COVID-19 важно знать параметры, которые предрасполагают к тяжелому течению. Описаны следующие факторы риска: возраст старше 60 лет, избыточная масса тела, мужской пол, хронические заболевания (гипертоническая болезнь, сахарный диабет 2-го типа). Низкая плотность печени по данным компьютерной томографии (КТ) также рассматривается как потенциальной фактор риска.</p> <p><bold>Цель. </bold>Оценка возможности использования низких показателей плотности печени как предиктора тяжелого течения COVID-19.</p> <p><bold>Материалы и методы.</bold> Ретроспективное одноцентровое когортное исследование. Включены пациенты с COVID-19, проходившие лечение в условиях стационара, которым выполнены две КТ органов грудной клетки в динамике. Пациенты распределены по группам согласно тяжести течения (группы среднетяжелого, тяжелого течения и летального исхода). Связь исследуемых факторов определена с использованием регрессионного анализа.</p> <p><bold>Результаты. </bold>Включены 99 человек, сформированы 3 группы сравнения: среднетяжелое течение (n=37), тяжелое течение (n=52), летальный исход (n=8). Все группы достоверно различались по уровню С-реактивного белка. По результатам многофакторного регрессионного анализа на тяжесть COVID-19 влияло отношение плотности печени к плотности селезенки по данным КТ при поступлении [отношение шансов 12,18 (95% доверительный интервал 1,67–89,07); <italic>p</italic>=0,008]. При этом ни один из названных факторов не является предиктором летального исхода COVID-19 (<italic>p</italic>&gt;0,05).</p> <p><bold>Заключение. </bold>Сниженная плотность печени по данным КТ при обследовании пациента с COVID-19 может служить предиктором тяжелого течения новой коронавирусной инфекции.</p></trans-abstract><kwd-group xml:lang="en"><kwd>liver density</kwd><kwd>COVID-19</kwd><kwd>computed tomography</kwd><kwd>prognosis</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>плотность печени</kwd><kwd>COVID-19</kwd><kwd>компьютерная томография</kwd><kwd>прогноз</kwd></kwd-group><funding-group><funding-statement xml:lang="en">This paper was prepared by a group of authors as a part of the research and development effort titled “Opportunistic screening of socially significant and other common diseases” (USIS №123031400009-1).</funding-statement><funding-statement xml:lang="ru">Статья подготовлена авторским коллективом в рамках НИР №4 «Оппортунистический скрининг социально значимых и иных распространенных заболеваний» (ЕГИСУ №123031400009-1).</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Liu YC, Kuo RL, Shih SR. 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