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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">Kazan medical journal</journal-id><journal-title-group><journal-title xml:lang="en">Kazan medical journal</journal-title><trans-title-group xml:lang="ru"><trans-title>Казанский медицинский журнал</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0368-4814</issn><issn publication-format="electronic">2587-9359</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">631754</article-id><article-id pub-id-type="doi">10.17816/KMJ631754</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Clinical experiences</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Обмен клиническим опытом</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">Prediction of paroxysmal atrial fibrillation based on 24-hour Holter electrocardiographic monitoring</article-title><trans-title-group xml:lang="ru"><trans-title>Прогнозирование пароксизмальной фибрилляции предсердий на основании данных суточного мониторирования электрокардиограммы по Холтер</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4833-4563</contrib-id><contrib-id contrib-id-type="spin">2110-8259</contrib-id><name-alternatives><name xml:lang="en"><surname>Germanova</surname><given-names>Olga A.</given-names></name><name xml:lang="ru"><surname>Германова</surname><given-names>Ольга Андреевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Dr. Sci. (Med.)</p></bio><bio xml:lang="ru"><p>д-р мед. наук</p></bio><email>olga_germ@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9041-4885</contrib-id><contrib-id contrib-id-type="spin">2305-9321</contrib-id><name-alternatives><name xml:lang="en"><surname>Reshetnikova</surname><given-names>Yulia B.</given-names></name><name xml:lang="ru"><surname>Решетникова</surname><given-names>Юлия Борисовна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>jul_borisova@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4334-1601</contrib-id><contrib-id contrib-id-type="spin">7629-5309</contrib-id><name-alternatives><name xml:lang="en"><surname>Syunyakov</surname><given-names>Timur S.</given-names></name><name xml:lang="ru"><surname>Сюняков</surname><given-names>Тимур Сергеевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Cand. Sci. (Med.)</p></bio><bio xml:lang="ru"><p>канд. мед. наук</p></bio><email>sjunja@bk.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5789-2332</contrib-id><contrib-id contrib-id-type="spin">7410-4365</contrib-id><name-alternatives><name xml:lang="en"><surname>Germanov</surname><given-names>Andrey V.</given-names></name><name xml:lang="ru"><surname>Германов</surname><given-names>Андрей Владимирович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Cand. Sci. (Med.), Assist. Prof., Depart. of Internal Medicine</p></bio><bio xml:lang="ru"><p>канд. мед. наук, доц., каф. внутренних болезней</p></bio><email>andreygermanov189@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">International Scientific and Educational Centre for cardiovascular pathology and cardiac imaging — Samara state medical university</institution></aff><aff><institution xml:lang="ru">Международный научно-образовательный центр кардиоваскулярной патологии и кардиовизуализации — Самарский государственный медицинский университет</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Medical university REAVIZ</institution></aff><aff><institution xml:lang="ru">Медицинский университет «Реавиз»</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2025-03-22" publication-format="electronic"><day>22</day><month>03</month><year>2025</year></pub-date><pub-date date-type="pub" iso-8601-date="2025-04-20" publication-format="electronic"><day>20</day><month>04</month><year>2025</year></pub-date><volume>106</volume><issue>2</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>298</fpage><lpage>307</lpage><history><date date-type="received" iso-8601-date="2024-05-08"><day>08</day><month>05</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2024-08-28"><day>28</day><month>08</month><year>2024</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Эко-Вектор</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Eco-Vector</copyright-holder><copyright-holder xml:lang="ru">Эко-Вектор</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2028-04-20"/></permissions><self-uri xlink:href="https://kazanmedjournal.ru/kazanmedj/article/view/631754">https://kazanmedjournal.ru/kazanmedj/article/view/631754</self-uri><abstract xml:lang="en"><p><bold>BACKGROUND</bold>: Predicting and detecting paroxysmal atrial fibrillation at an early stage is a key priority for preventing cardioembolic complications.</p> <p><bold>AIM</bold>: This study aimed to develop a predictive tool for paroxysmal atrial fibrillation in patients with sinus rhythm.</p> <p><bold>MATERIAL</bold><bold> </bold><bold>AND</bold><bold> </bold><bold>METHODS</bold>: A single-center case-control study was conducted involving 6630 patients. The main group comprised 97 individuals with newly diagnosed paroxysmal atrial fibrillation. The control group included 99 patients without atrial fibrillation, matched for anthropometric and comorbidity parameters. Standard laboratory and instrumental methods were used. During 24-hour Holter ECG monitoring, the following parameters were analyzed: sex, age, monitoring duration, and rhythm driver. Special attention was given to early ectopic beats of the “P on T” and “R on T” types. Differences were considered statistically significant at p ≤ 0.05.</p> <p><bold>RESULTS</bold>: Holter ECG parameters (extrasystole, ectopy, and paroxysmal tachycardia) were significantly more frequent and had higher values in the main group. A specific type of early atrial extrasystole (“P on T”) was observed in 97.9% of the main group, compared with 4.0% of the control group (odds ratio, 8461.648; 95% CI, 382.1983–187336). The number of supraventricular extrasystoles (isolated, paired, grouped) was significantly higher in the main group. Interval durations were also significantly longer in this group. No significant differences between groups were found in the frequency of ventricular extrasystoles or ST-segment depression. A logistic regression model was developed based on the most significant predictors: sex; number of atrial and atrioventricular supraventricular extrasystoles; number of isolated and paired ventricular extrasystoles; presence of allorhythmia in ventricular ectopy; and presence of early “P on T” ectopic beats. The model yielded an area under the curve (AUC) of 0.996, with an optimal risk threshold of 0.5 and prediction accuracy of 97.45%.</p> <p><bold>CONCLUSION</bold>: A predictive tool for paroxysmal atrial fibrillation in patients with sinus rhythm was developed, demonstrating high predictive performance.</p></abstract><trans-abstract xml:lang="ru"><p><bold>Актуальность</bold>. Прогнозирование и раннее выявление пароксизмов фибрилляции предсердий является одной из приоритетных задач по профилактике кардиоэмболических осложнений.</p> <p><bold>Цель</bold>. Создать инструмент прогнозирования развития пароксизмальной фибрилляции предсердий у пациентов с синусовым ритмом.</p> <p><bold>Материал и методы</bold>. Проведено одноцентровое исследование случай-контроль с участием 6630 пациентов. В основную группу вошло 97 человек с впервые выявленной пароксизмальной фибрилляцией предсердий. Контрольную группу составили 99 больных без фибрилляции предсердий, соответствующих по антропометрическим и коморбидным показателям основной группе. Использовали стандартные лабораторные и инструментальные методы. В ходе суточного мониторирования электрокардиограммы по Холтер анализировали пол, возраст, время наблюдения, водитель ритма. Отдельно изучали наличие ранних экстрасистол типа «P на Т» и «R на Т». Различия считали значимыми при <italic>p</italic> ≤0,05.</p> <p><bold>Результаты</bold>. Показатели суточного мониторирования электрокардиограммы по Холтер (экстрасистолию, эктопию, пароксизмальную тахикардию) достоверно чаще встречаются и имеют более высокие значения в основной группе. У 97,9% пациентов основной группы наблюдали особый вариант экстрасистолии — ранний предсердный тип «Р на Т» (против 4,0% у больных контрольной группы) [отношение шансов 8461,648 (382,1983; 187336)]. Количество наджелудочковых экстрасистол достоверно выше в основной группе (одиночные, парные, групповые). Продолжительность интервалов была достоверно выше в основной группе. Частота желудочковых экстрасистол, а также депрессии сегмента ST достоверно не различалась между группами. Разработано уравнение логистической регрессии, которое учитывает наиболее значимые факторы: пол, количество предсердных и атриовентрикулярных наджелудочковых экстрасистол, число одиночных и парных желудочковых экстрасистол, аллоритмий при желудочковых экстрасистолах и наличие ранних экстрасистол «Р по Т». Площадь под кривой (AUC) составила 0,996, а оптимальный коэффициент риска — 0,5, точность прогнозирования — 97,45%.</p> <p><bold>Заключение</bold>. Создан инструмент прогнозирования пароксизмальной фибрилляции предсердий у пациентов с синусовым ритмом, продемонстрировавший высокие прогностические параметры.</p></trans-abstract><kwd-group xml:lang="en"><kwd>extrasystole</kwd><kwd>atrial fibrillation predictor</kwd><kwd>atrial extrasystole</kwd><kwd>supraventricular extrasystole</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>экстрасистолия</kwd><kwd>предиктор фибрилляции предсердий</kwd><kwd>предсердная экстрасистолия</kwd><kwd>наджелудочковая экстрасистолия</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="en">Grant Priority 2030</institution></institution-wrap><institution-wrap><institution xml:lang="ru">Правительство РФ, грант «Приоритет 2030»</institution></institution-wrap></funding-source></award-group></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Hindricks G, Potpara T, Dagres N, et al.; ESC Scientific Document Group. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. 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