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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">antibiotics</journal-id><journal-title-group><journal-title xml:lang="ru">Антибиотики и Химиотерапия</journal-title><trans-title-group xml:lang="en"><trans-title>Antibiot Khimioter = Antibiotics and Chemotherapy</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0235-2990</issn><publisher><publisher-name>ООО «Издательство ОКИ»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.37489/0235-2990-2023-68-11-12-49-58</article-id><article-id custom-type="elpub" pub-id-type="custom">antibiotics-1098</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>КЛИНИЧЕСКИЕ ИССЛЕДОВАНИЯ И ПРАКТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>GUIDELINES FOR PRACTITIONERS</subject></subj-group></article-categories><title-group><article-title>Методология создания системы управления рисками возникновения межлекарственных взаимодействий</article-title><trans-title-group xml:lang="en"><trans-title>Methodology for Creating a Risk Management System for Drug-Drug Interactions</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5594-4859</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Таубэ</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Taube</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Таубэ Александра Альбертовна — к. фарм. н., научный сотрудник, доцент кафедры экономики и управления</p><p>Москва</p></bio><bio xml:lang="en"><p>Aleksandra A. Taube — Ph. D. in Pharmaceutics, Researcher, Associate Professor of the Department of Economics and Management</p><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9198-8661</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Журавлева</surname><given-names>М. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhuravleva</surname><given-names>M. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Журавлева Марина Владимировна — д. м. н., профессор; профессор кафедры клинической фармакологии и пропедевтики внутренних болезней</p><p>Москва</p></bio><bio xml:lang="en"><p>Marina V. Zhuravleva — D. Sc. in Medicine, Professor; Professor of the Department of Clinical Pharmacology and Propaedeutics of Internal Diseases</p><p>Moscow</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБУ «Научный центр экспертизы средств медицинского применения» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Scientiﬁc Centre for Expert Evaluation of Medicinal Products of the Ministry of Health of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГБУ «Научный центр экспертизы средств медицинского применения» Минздрава России; Первый московский государственный медицинский университет им. И. М. Сеченова Минздрава России (Сеченовский Университет)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Scientiﬁc Centre for Expert Evaluation of Medicinal Products of the Ministry of Health of the Russian Federation; I. M. Sechenov First Moscow State Medical University (Sechenov University)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>25</day><month>12</month><year>2023</year></pub-date><volume>68</volume><issue>11-12</issue><fpage>49</fpage><lpage>58</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Таубэ А.А., Журавлева М.В., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Таубэ А.А., Журавлева М.В.</copyright-holder><copyright-holder xml:lang="en">Taube A.A., Zhuravleva M.V.</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.antibiotics-chemotherapy.ru/jour/article/view/1098">https://www.antibiotics-chemotherapy.ru/jour/article/view/1098</self-uri><abstract><p>Межлекарственные взаимодействия (DDI) являются серьёзной причиной госпитализации, отвечая за 16,6% случаев, когда причиной был ADR, и около 1% всех госпитализаций. Полипрагмазия получает всё более широкое распространение. Так шведское популяционное исследование лиц в возрасте ;;;75 лет показало, что распространённость полипрагмазии увеличилась с 27% в 1988 г. до 54% в 2001 г. и до 65% в 2006 г. Цель. Анализ баз данных по DDI и последующая оценка возможности их применения для управления рисками фармакотерапии в РФ и ЕАЭС. Результаты. Охарактеризованы основные базы данных по DDI. Определена степень несогласованности данных по количеству DDI, степени тяжести и клиническим рекомендациям. Сформулированы основные требования, предъявляемые к полноте информации в базах данных. Выявлено, что необходимо гармонизировать подходы к предоставлению информации о DDI, а также потребность в создании локальных баз данных для нужд медицинских организаций. Создана программа для ЭВМ, предназначенная для минимизации рисков возникновения DDI в клинической практике, для экспертных и научных целей. Заключение. Базы данных и программы по DDI имеют различные цели, различный набор данных о DDI с различной степенью доказательств, различия в оценке степени тяжести, вероятности возникновения, клинических рекомендациях по терапии и коррекции DDI. Вариабельность сведений обусловлена отсутствием единой системы оценки тяжести и вероятности наступления потенциальных негативных последствий DDI; различными целями при создании; разницей в бюджетах при создании. Такая ситуация приводит к избыточности предупреждений и усталости врачей от незначимых или недоказанных DDI. На основании выявленных требований к локальным базам данных создана и получила свидетельство о государственной регистрации программа для ЭВМ для моделирования рациональной фармакотерапии при инфекциях нижних дыхательных путей.</p></abstract><trans-abstract xml:lang="en"><p>Drug-drug interactions (DDIs) are a major cause of hospital admissions, accounting for 16.6% of ADRs and about 1% of all hospital admissions. Polypharmacy is on the rise, with a Swedish population-based study of people aged ;;;75 years showing that the prevalence of polypharmacy increased from 27% in 1988 to 54% in 2001 and to 65% in 2006. The aim of the study was to analyze the databases on DDI and to assess the possibility of their use in managing the risks of pharmacotherapy in the Russian Federation and the EAEU. Results. The main DDI databases are characterized. The degree of inconsistency in data on the number of DDI, severity and clinical recommendations was determined. The basic requirements for the completeness of information in databases are formulated. The necessity to harmonize approaches to providing information about DDI, as well as the need to create local databases for medical organizations were revealed. A computer program has been created to minimize the risks of DDI in clinical practice, for expert and scientiﬁc purposes. Conclusions. Databases and programs for DDI have diﬀerent goals, a diﬀerent set of data on DDI with varying degrees of evidence, diﬀerences in assessment of severity, likelihood of occurrence, clinical recommendations for treatment and correction of DDI. The variability of information is due to the lack of a uniﬁed system for assessing the severity and likelihood of potential negative consequences of DDI; diﬀerent purposes for creation; diﬀerence in budgets at creation. This situation leads to warning redundancy and physician fatigue from insigniﬁcant or unproven DDIs. Based on the identiﬁed requirements for local databases, a computer program for modeling rational pharmacotherapy for lower respiratory tract infections was created and received a certiﬁcate of state registration. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>фармакотерапия</kwd><kwd>межлекарственные взаимодействия</kwd><kwd>нежелательная реакция</kwd><kwd>система поддержки принятия клинических решений</kwd><kwd>базы данных по лекарственным взаимодействиям</kwd></kwd-group><kwd-group xml:lang="en"><kwd>pharmacotherapy</kwd><kwd>drug-drug interactions</kwd><kwd>adverse reaction</kwd><kwd>clinical decision support system</kwd><kwd>drug interaction databases</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">Kontsioti E., Maskell S., Bensalem A., Dutta B., Pirmohamed M. Similarity and consistency assessment of three major online drug-drug interaction resources. 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