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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">Digital Diagnostics</journal-id><journal-title-group><journal-title xml:lang="en">Digital Diagnostics</journal-title><trans-title-group xml:lang="ru"><trans-title>Digital Diagnostics</trans-title></trans-title-group><trans-title-group xml:lang="zh"><trans-title>Digital Diagnostics</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2712-8490</issn><issn publication-format="electronic">2712-8962</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">46833</article-id><article-id pub-id-type="doi">10.17816/DD46833</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Original Study Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Оригинальные исследования</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="zh"><subject>原创性科研成果</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">The frequency and character of community-acquired pneumonia comparison before and during the COVID-19 epidemic in the multi-specialty hospital</article-title><trans-title-group xml:lang="ru"><trans-title>Сравнение частоты и характера внебольничных пневмоний до начала и во время эпидемии COVID-19 в многопрофильной больнице</trans-title></trans-title-group><trans-title-group xml:lang="zh"><trans-title>某专科医院COVID-19流行前后社区获得性肺炎发生频率和性质比较</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7709-977X</contrib-id><name-alternatives><name xml:lang="en"><surname>Yaremenko</surname><given-names>Stepan A.</given-names></name><name xml:lang="ru"><surname>Яременко</surname><given-names>Степан Андреевич</given-names></name><name xml:lang="zh"><surname></surname><given-names></given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, PhD student</p></bio><bio xml:lang="ru"><p>аспирант</p></bio><email>yaremenkosa@yandex.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8063-4462</contrib-id><name-alternatives><name xml:lang="en"><surname>Rucheva</surname><given-names>Natalia A.</given-names></name><name xml:lang="ru"><surname>Ручьёва</surname><given-names>Наталья Александровна</given-names></name><name xml:lang="zh"><surname></surname><given-names></given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, PhD</p></bio><bio xml:lang="ru"><p>к.м.н.</p></bio><email>rna1969@yandex.ru</email></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1733-267X</contrib-id><name-alternatives><name xml:lang="en"><surname>Zhuravlev</surname><given-names>Kirill N.</given-names></name><name xml:lang="ru"><surname>Журавлёв</surname><given-names>Кирилл Николаевич</given-names></name><name xml:lang="zh"><surname></surname><given-names></given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD</p></bio><email>kir232@mail.ru</email></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5649-2193</contrib-id><name-alternatives><name xml:lang="en"><surname>Sinitsyn</surname><given-names>Valentin E.</given-names></name><name xml:lang="ru"><surname>Синицын</surname><given-names>Валентин Евгеньевич</given-names></name><name xml:lang="zh"><surname></surname><given-names></given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, PhD, Professor</p></bio><bio xml:lang="ru"><p>д-р мед. наук, проф.</p></bio><email>vsini@mail.ru</email><xref ref-type="aff" rid="aff3"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">State Moscow Clinical Hospital I.V.Davydovskiy</institution></aff><aff><institution xml:lang="ru">ГБУЗ «Городская клиническая больница имени И.В. Давыдовского»</institution></aff><aff><institution xml:lang="zh"></institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Lomonosov Moscow State University</institution></aff><aff><institution xml:lang="ru">ФГБОУ ВО «Московский государственный университет имени М.В. Ломоносова»</institution></aff><aff><institution xml:lang="zh"></institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Lomonosov Moscow State University</institution></aff><aff><institution xml:lang="ru">ФГБОУ ВО «Московский государственный университет имени М.В. Ломоносова»</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2020-12-01" publication-format="electronic"><day>01</day><month>12</month><year>2020</year></pub-date><pub-date date-type="pub" iso-8601-date="2020-12-30" publication-format="electronic"><day>30</day><month>12</month><year>2020</year></pub-date><volume>1</volume><issue>1</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><issue-title xml:lang="zh"/><fpage>37</fpage><lpage>47</lpage><history><date date-type="received" iso-8601-date="2020-10-13"><day>13</day><month>10</month><year>2020</year></date><date date-type="accepted" iso-8601-date="2020-11-03"><day>03</day><month>11</month><year>2020</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2020, Yaremenko S.A., Rucheva N.A., Zhuravlev K.N., Sinitsyn V.E.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2020, Яременко С.А., Ручьёва Н.А., Журавлёв К.Н., Синицын В.Е.</copyright-statement><copyright-statement xml:lang="zh">Copyright ©; 2020, Yaremenko S., Rucheva N., Zhuravlev K., Sinitsyn V.</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="en">Yaremenko S.A., Rucheva N.A., Zhuravlev K.N., Sinitsyn V.E.</copyright-holder><copyright-holder xml:lang="ru">Яременко С.А., Ручьёва Н.А., Журавлёв К.Н., Синицын В.Е.</copyright-holder><copyright-holder xml:lang="zh">Yaremenko S., Rucheva N., Zhuravlev K., Sinitsyn V.</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-nd/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://jdigitaldiagnostics.com/DD/article/view/46833">https://jdigitaldiagnostics.com/DD/article/view/46833</self-uri><abstract xml:lang="en"><p><italic>BACKGROUND:</italic> The 2019 coronavirus disease outbreak (COVID-19) quickly swept the world in just a month. Polymerase chain reaction (PCR) is used in the diagnosis of this disease, but this test has limitations related to false negative results, as well as PCR is a time-consuming procedure. Under these conditions, chest computed tomography (CT) can become one of the main methods in the Clinician’s Arsenal used for early detection of COVID-19 in patients who first seek medical help.</p> <p><italic>AIMS:</italic> comparison of the frequency of community-acquired pneumonia and its characteristics according to CT data before and during the COVID-19 epidemic and study of the possibilities of their timely detection and differential diagnosis.</p> <p><italic>MATERIALS AND METHODS:</italic> A retrospective analysis of chest CT scans results was performed in Davydovsky hospital (Moscow) from April 1 to April 17, 2020. It included all patients diagnosed with viral pneumonia at the CT. All patients with suspected diagnosis of viral pneumonia underwent PCR testing. Retrospective analysis of chest CT data from patients admitted to the hospital with suspected pneumonia for the same period in 2019 was taken as a comparison group.</p> <p><italic>RESULTS:</italic> For the period from April 1 to April 17, 2020 according to chest CT, pneumonia was diagnosed in 140 cases, of which 65 (46.4%) were described as viral, compared with the same period in 2019 − 7 diagnoses of viral pneumonia (10.3%) were described a significant increase in cases of viral pneumonia (5.723; <italic>p</italic> &lt;0.01). Results of PCR test in patients with viral pneumonia according to CT data was: positive in 34 (52.3%), negative in 22 (33.8%), 9 (13.9%) patients were not tested. When comparing the frequency of detection on CT of viral pneumonia patterns in patients for the same period of time in 2019 and 2020, no significant differences were found. The probability of COVID-19 due to results of chest CT was: average 13.8%, high − 75.4%. The severity of viral pneumonia according to CT data was: light 38.5%, medium 46.2%, severe 12.3%, extremely severe 3.1%.</p> <p><italic>CONCLUSIONS:</italic> Rapid CT diagnostics of COVID-19, even with false negative results of PCR tests, can help to isolate a patient with suspected COVID-19, start treatment on time and prevent the further spread of viral infection in a pandemic. Nevertheless, due to the non-specificity of the revealed picture, the possibilities of CT to identify lung lesions by specific viral agents are limited.</p></abstract><trans-abstract xml:lang="ru"><p>Обоснование. Вспышка коронавирусной инфекции 2019 года (COVID-19) быстро ― всего за месяц ― охватила весь мир. В диагностике этого заболевания помогает метод полимеразной цепной реакции (ПЦР), однако данный тест имеет ограничения, связанные с ложноотрицательными результатами, а также сроками выполнения. С учётом повышенного распространения инфекции компьютерная томография (КТ) органов грудной клетки (ОГК) может стать одной из основных методик в арсенале клинициста для раннего выявления COVID-19 у впервые обратившихся за медицинской помощью пациентов.</p> <p>Цель ― сравнение частоты внебольничных пневмоний и их характеристик по данным КТ в многопрофильной больнице Москвы до начала и во время эпидемии COVID-19 и изучение возможностей их своевременного выявления и дифференциального диагноза.</p> <p>Материалы и методы. Проведён ретроспективный анализ результатов КТ грудной клетки пациентов Городской клинической больницы имени И.В. Давыдовского (Москва) за период с 1 по 17 апреля 2020 года. В исследование включены все пациенты с диагнозом вирусной пневмонии по заключению КТ. Всем пациентам с подозрением на вирусную пневмонию выполняли тестирование ПЦР. В качестве группы сравнения ретроспективно проанализированы данные КТ грудных клеток пациентов с подозрением на пневмонию за аналогичный промежуток 2019 г.</p> <p><bold>Результаты</bold>. С 1 по 17 апреля 2020 г. по данным КТ ОГК пневмония диагностирована в 140 случаях, из которых 65 (46,4%) описаны как вирусные, в сравнении с тем же периодом 2019 г. ― 7 (10,3%) диагнозов вирусной пневмонии: наблюдается значимое увеличение частоты вирусных пневмоний (5,723; <italic>р</italic> &lt;0,01). Результаты ПЦР-теста у пациентов с вирусной пневмонией по данным КТ: положительный ― у 34 (52,3%), отрицательный ― у 22 (33,8%), у 9 (13,9%) больных тест не проводился. При сравнении частоты обнаружения на КТ паттернов вирусной пневмонии у пациентов за одинаковый промежуток времени в 2019 и 2020 гг. не было обнаружено никаких достоверных различий. Вероятность COVID-19 по КТ-картине ОГК: средняя ― 13,8%, высокая ― 75,4%. Тяжесть вирусной пневмонии по данным КТ ОГК: лёгкая ― 38,5%, среднетяжёлая ― 46,2%, тяжёлая ― 12,3%, крайне тяжёлая ― 3,1%.</p> <p>Заключение. КТ-диагностика COVID-19, в том числе при ложноотрицательных результатах ПЦР-тестов, позволяет вовремя изолировать пациента с подозрением на COVID-19, своевременно приступить к лечению и предотвратить дальнейшее распространение вирусной инфекции в условиях пандемии. Однако ввиду неспецифичности выявляемых изменений возможности КТ для идентификации поражения лёгких конкретными вирусными агентами ограничены.</p></trans-abstract><trans-abstract xml:lang="zh"><p>论证：2019年中国武汉首次报道的2019冠状病毒病（COVID-19）在短短一个月内迅速席卷全球。聚合酶链反应（PCR）方法有助于诊断这种疾病，但这种检测有与假阴性结果，以及截止日期有限制。考虑到感染传播的增加，对胸部器官进行计算机断层扫描（CT）可以成为临床医生用于早期检测COVID-19患者的主要技术之一。</p> <p>目的是根据莫斯科某专科医院COVID-19流行前和流行期间的CT资料，比较社区获得性肺炎的发生频率及其特征，并探讨其及时发现和鉴别诊断的可能性。</p> <p>材料与方法。2020年4月1日至4月17日期间对I.V. Davydovsky City Clinical Hospital（莫斯科）患者胸部CT检查结果进行了回顾性分析。本研究纳入所有根据CT诊断为病毒性肺炎的患者。所有疑似病毒性肺炎患者均在住院第一天进行PCR检测。作为对照组，对2019年同期以疑似肺炎入院患者的胸部CT资料进行了回顾性分析。</p> <p>结果。在2020年4月1日至4月17日期间，根据胸部器官计算机断层扫描，有140例确诊为肺炎，其中65例（46.4%）被描述为病毒性肺炎，与2019年同期相比，7例（10.3%）被诊断为病毒性肺炎：病毒性肺炎病例显著增加（5723例；p &lt; 0.01）。根据计算机断层扫描对病毒性肺炎患者进行PCR检测结果：34例（52.3%）为阳性，22例（33.8%）为阴性，未进行检测9例（13.9%）。比较2019年与2020年同期患者病毒性肺炎型CT检出频次，差异无统计学意义。胸部CT显示COVID-19的概率：平均概率为13.8%，高概率为75.4%。根据胸部CT检查病毒性肺炎的严重程度：轻度—38.5%，中度—46.2%，重度—12.3%，极重度—3.1%。在病毒性肺炎患者组中，根据CT资料，出现以下X线现象：淋巴结病为32.3%，胸水为21.5%，心包水为4.6%，肺动脉高压为21.5%。</p> <p>结论。已经证明，以研究的相对速度对COVID-19进行CT诊断，并对获得的结果（包括PCR检测假阴性结果）进行解释，可以及时隔离疑似COVID-19患者，及时开始治疗，并防止病毒感染在大流行中进一步传播。然而，由于所检测到的形态学图像的非特异性，CT用特异性病毒制剂鉴别肺病变的可能性有限。</p></trans-abstract><kwd-group xml:lang="en"><kwd>COVID-19</kwd><kwd>computed tomography</kwd><kwd>pneumonia</kwd><kwd>virus</kwd><kwd>polymerase chain reaction</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>COVID-19</kwd><kwd>компьютерная томография</kwd><kwd>пневмония</kwd><kwd>вирусная пневмония</kwd><kwd>полимеразная цепная реакция</kwd></kwd-group><kwd-group xml:lang="zh"><kwd>COVID-19</kwd><kwd>计算机断层扫描</kwd><kwd>肺炎</kwd><kwd>病毒性肺炎</kwd><kwd>聚合酶链反应</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Zhu N, Zhang D, Wang W, et al. 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