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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">medalphabet</journal-id><journal-title-group><journal-title xml:lang="ru">Медицинский алфавит</journal-title><trans-title-group xml:lang="en"><trans-title>Medical alphabet</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2078-5631</issn><issn pub-type="epub">2949-2807</issn><publisher><publisher-name>ООО «Альфмед»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.33667/2078-5631-2023-23-40-45</article-id><article-id custom-type="elpub" pub-id-type="custom">medalphabet-3332</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>Статьи</subject></subj-group></article-categories><title-group><article-title>Интерпретации результатов автоматизированного анализа плеврального выпота (клинические случаи)</article-title><trans-title-group xml:lang="en"><trans-title>Interpretation of results of automated analysis of pleural effusion (clinical cases)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6188-1548</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Барановская</surname><given-names>И. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Baranovskaya</surname><given-names>I. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ирина Борисовна Барановская, , к. б. н., биолог</p><p>Краснодар</p></bio><bio xml:lang="en"><p>Irina B. Baranovskaya,  PhD Bio, biologist</p><p>Krasnodar</p></bio><email xlink:type="simple">irina.baranovskay@yandex.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/0001-0002-0455-0386</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Котивец</surname><given-names>К. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kotivets</surname><given-names>K. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кристина Андреевна Котивец, врач клинической лабораторной диагностики</p><p>Краснодар</p></bio><bio xml:lang="en"><p>Kristina A. Kotivets, clinical laboratory diagnostics doctor</p><p>Krasnodar</p></bio><email xlink:type="simple">kkotivets23@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/0000-0002-0430-0241</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сысоева</surname><given-names>И. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Sysoeva</surname><given-names>I. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ирина Петровна Сысоева, биолог, зав. лабораторией</p><p>клинико-диагностическая лаборатория</p><p>Краснодар</p></bio><bio xml:lang="en"><p>Irina P. Sysoeva, biologist, head of laboratory</p><p>clinical diagnostic laboratory</p><p>Krasnodar</p></bio><email xlink:type="simple">sysoeva_ip@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ГБУЗ «Краевая клиническая больница № 2» Минздрава Краснодарского края</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Regional Clinical Hospital No. 2</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>07</day><month>11</month><year>2023</year></pub-date><volume>0</volume><issue>23</issue><issue-title>Современная лаборатория (2)</issue-title><fpage>40</fpage><lpage>45</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Барановская И.Б., Котивец К.А., Сысоева И.П., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Барановская И.Б., Котивец К.А., Сысоева И.П.</copyright-holder><copyright-holder xml:lang="en">Baranovskaya I.B., Kotivets K.A., Sysoeva I.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://www.med-alphabet.com/jour/article/view/3332">https://www.med-alphabet.com/jour/article/view/3332</self-uri><abstract><p>   Автоматизированный анализ выпотных жидкостей, предоставляя большой объем объективной информации о биологическом образце, существенно расширил диагностические возможности цитологической службы. При этом в настоящее время унифицированные алгоритмы интерпретации получаемых данных отсутствуют.</p><p>   Цель работы: разработка на основе результатов автоматизированного анализа плевральных жидкостей альтернативных прогнозов генеза выпота (доброкачественный / злокачественный).</p><p>   Исследование производилось на базе Клинической краевой больницы № 2 г. Краснодара. Результаты автоматизированного анализа биологических жидкостей, полученные при помощи анализатора Sysmex XN, сопоставлялись с данными цитологических, лабораторных и инструментальных исследований. В статье представлены некоторые собственные наработки, которые могут служить ориентировочными критериями при интерпретации результатов автоматизированного анализа биологических жидкостей. Установлено, что в плане дифференциальной диагностики генеза выпота наибольшей информативностью обладают показатели общего цитоза (TC-BF) и абсолютного содержания высокофлуоресцентных мононуклеаров (HF-BF#). Учет клинических данных, результатов лабораторных и инструментальных исследований повышает информативную ценность автоматизированного анализа биологических жидкостей.</p></abstract><trans-abstract xml:lang="en"><p>   Automated analysis of effusion fluids, providing a large amount of objective information about a biological sample, has significantly expanded the diagnostic capabilities of the cytological service. At the same time, there are currently no unified algorithms for interpreting the obtained data.</p><p>   The aim of the work was to develop, based on the results of automated analysis of pleural fluids, alternative predictions of the genesis of the effusion (benign / malignant).</p><p>   The study was carried out on the basis of the Clinical Regional Hospital No. 2 in Krasnodar (Russia). The results of automated analysis of biological fluids obtained using the Sysmex XN analyzer were compared with the data of cytological, laboratory and instrumental studies. The article presents some of our own developments that can serve as indicative criteria for interpreting the results of automated analysis of biological fluids. It has been established that in terms of differential diagnosis of the genesis of effusion, the indicators of total cytosis (TC-BF) and the absolute content of highly fluorescent mononuclear cells (HF-BF#) are the most informative. Accounting for clinical data, results of laboratory and instrumental studies increases the informative value of automated analysis of biological fluids.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>биологическая жидкость</kwd><kwd>плевральный выпот</kwd><kwd>автоматизированный анализ</kwd><kwd>интерпретация данных</kwd><kwd>общий цитоз</kwd><kwd>высокофлуоресцентные мононуклеары</kwd></kwd-group><kwd-group xml:lang="en"><kwd>biological fluid</kwd><kwd>pleural effusion</kwd><kwd>automated analysis</kwd><kwd>data interpretation</kwd><kwd>total cytosis</kwd><kwd>highly fluorescent mononuclear cells</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">Ai T., Tabe Y., Takemura H. et al. Novel flowcytometry-based approach of malignant cell detection in body fluids using an automated hematology analyzer. PLoS One. 2018; (9): e0190886. 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