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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">arthyper</journal-id><journal-title-group><journal-title xml:lang="ru">Артериальная гипертензия</journal-title><trans-title-group xml:lang="en"><trans-title>"Arterial’naya Gipertenziya" ("Arterial Hypertension")</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1607-419X</issn><issn pub-type="epub">2411-8524</issn><publisher><publisher-name>Antihypertensive League</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18705/1607-419X-2019-25-6-604-612</article-id><article-id custom-type="elpub" pub-id-type="custom">arthyper-1779</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>СТРАНИЦА СОМНОЛОГА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SOMNOLOGIST’S PAGE</subject></subj-group></article-categories><title-group><article-title>Полисомнография или кардиореспираторное мониторирование – что выбрать для оптимальной диагностики нарушений дыхания во сне?</article-title><trans-title-group xml:lang="en"><trans-title>Polysomnography or cardiorespiratory monitoring: what is the best method to diagnose sleep-disordered breathing?</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4982-628X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Агальцов</surname><given-names>М. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Agaltsov</surname><given-names>M. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Агальцов Михаил Викторович — кандидат медицинских наук, старший научный сотрудник отдела фундаментальных и прикладных аспектов ожирения</p><p>Петроверигский пер., д. 10, стр. 3, Москва, 101990</p></bio><bio xml:lang="en"><p>Mikhail V. Agaltsov, MD, PhD, Senior Researcher, Department of Fundamental and Applied Aspects of Obesity</p><p>10-3 Petroverigskiy lane, Moscow, 101990</p></bio><email xlink:type="simple">agaltsov@rambler.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Федеральное государственное бюджетное учреждение «Национальный медицинский исследовательский центр профилактической медицины» Министерства здравоохранения Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>National Medical Research Centre for Preventive Medicine</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>21</day><month>11</month><year>2019</year></pub-date><volume>25</volume><issue>6</issue><fpage>604</fpage><lpage>612</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Агальцов М.В., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Агальцов М.В.</copyright-holder><copyright-holder xml:lang="en">Agaltsov 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://htn.almazovcentre.ru/jour/article/view/1779">https://htn.almazovcentre.ru/jour/article/view/1779</self-uri><abstract><p>Самыми распространенными методами диагностики нарушений дыхания во сне являются полисомнография (ПСГ) и кардиореспираторное (респираторное) мониторирование (КРМ) сна. ПСГ с момента создания занимает место «золотого» стандарта диагностики дыхательных событий во сне. В настоящее время КРМ во время сна получает все более широкое распространение как диагностический метод с минимальным набором параметров для определения дыхательных событий во сне. Использование КРМ обусловлено двумя причинами: возросшей потребностью в инструментальном обследовании из-за широкого распространения нарушений дыхания в популяции и условиями применения метода (простота использования, необязательность наличия лаборатории сна, более низкая себестоимость). Однако не у всех пациентов метод даст приемлемый результат. Потенциальными ограничениями являются отсутствие регистрации сна (информации о структуре сна и реакции на нарушения дыхания), контроля за исследованием со стороны медицинского персонала и нередко — датчика положения тела. Эти факторы влияют на оценку степени тяжести болезни и верификацию определенных форм заболевания. В настоящее время сформировались новые методы скрининга апноэ во время сна, основанные на современных инновационных технологиях и доступные в практической медицине. К ним нужно отнести определение наличия дыхательных событий по холтеровскому мониторированию электрокардиограммы во время сна, распознавание храпа и остановок дыхания во сне по аудиометрической записи сигнала и определение наличия апноэ по движениям во время сна (актиграфии).</p></abstract><trans-abstract xml:lang="en"><p>Polysomnography and cardiorespiratory (respiratory) sleep monitoring are the most common diagnostic methods for respiratory sleep disorders. Polysomnography traditionally takes the place of the “gold” standard for detection of all types of respiratory events since its inception. Currently, cardiorespiratory monitoring of sleep is becoming more widespread as a diagnostic method with a minimum set of parameters for determining respiratory events during sleep. The increased use of cardiorespiratory (respiratory) monitoring of sleep is due to 2 reasons: the increased need for diagnosis due to the wide occurrence of respiratory disorders in the population and the conditions of the method (simple use, the need for a sleep laboratory, cheaper cost). However, the method is not indicated to all patients. Potential limitations for cardiorespiratory monitoring of sleep are the lack of sleep recording (information about the structure of sleep and reactions of sleep to respiratory disorders), monitoring of the study by medical personnel, and absence of body position sensor. These factors influence the assessment of the severity of the disease and the verification of certain forms of the disease. Currently, new methods of screening sleep apnea have been formed, based on modern innovative technologies and available in practical medicine. These include the determination of the presence of respiratory events be ECG Holter monitoring during sleep, the recognition of snoring and respiratory events in sleep from an audiometric signal recording and the determination of the probability of apnea with the help of registration movements during sleep (actigraphy).</p></trans-abstract><kwd-group xml:lang="ru"><kwd>полисомнография</kwd><kwd>кардиореспираторное мониторирование сна</kwd><kwd>скрининг нарушений дыхания во сне</kwd><kwd>храп</kwd><kwd>холтеровское мониторирование электрокардиограммы</kwd><kwd>актиграфия</kwd></kwd-group><kwd-group xml:lang="en"><kwd>polysomnography</kwd><kwd>cardiorespiratory sleep monitoring</kwd><kwd>screening of respiratory sleep disorders</kwd><kwd>snore</kwd><kwd>ECG Holter monitoring</kwd><kwd>actigraphy</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">Peppard PE, Young T, Barnet JH, Palta M, Hagen EW, Hla KM. 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