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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">neurosurgery</journal-id><journal-title-group><journal-title xml:lang="ru">Нейрохирургия</journal-title><trans-title-group xml:lang="en"><trans-title>Russian journal of neurosurgery</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1683-3295</issn><issn pub-type="epub">2587-7569</issn><publisher><publisher-name>Издательский дом "МедИНК"</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.63769/1683-3295-2025-27-4-37-45</article-id><article-id custom-type="elpub" pub-id-type="custom">neurosurgery-1756</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>ОРИГИНАЛЬНАЯ РАБОТА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL REPORT</subject></subj-group></article-categories><title-group><article-title>Сетевой популяционный анализ сопутствующих заболеваний у пациентов с разорвавшимися аневризмами мозга с учетом межполовых различий</article-title><trans-title-group xml:lang="en"><trans-title>Complex network populational analysis of comorbidities in patients with ruptured cerebral aneurysms, taking into account sex differences</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5499-9628</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кивелёв</surname><given-names>Ю. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kivelev</surname><given-names>Yu. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Юрий Владимирович Кивелев</p><p>129090 Москва, ул. Щепкина, 35;</p><p>185035 Петрозаводск, ул. Красноармейская, 31</p></bio><bio xml:lang="en"><p>Yuriy Vladimirovich Kivelev</p><p>35 Schepkina St., Moscow 129090;</p><p>31 Krasnoarmeyskaya St., Petrozavodsk 185035</p></bio><email xlink:type="simple">j.v.kivelev@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0001-7863-2089</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Байлюк</surname><given-names>Е. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Bailiuk</surname><given-names>E. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>197229 Санкт-Петербург, Лахтинский пр-кт, 100а, стр. 1</p></bio><bio xml:lang="en"><p>Bld. 1, 100a Lakhtinskiy Ave., Saint Petersburg 197229</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0789-8039</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кривошапкин</surname><given-names>А. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Krivoshapkin</surname><given-names>A. L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>129090 Москва, ул. Щепкина, 35;</p><p>117198 Москва, ул. Миклухо-Маклая, 6</p></bio><bio xml:lang="en"><p>35 Schepkina St., Moscow 129090;</p><p>6 Miklukho-Maklaya St., Moscow 117198</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6803-9954</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Черебилло</surname><given-names>В. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Cherebillo</surname><given-names>V. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кафедра нейрохирургии</p><p>197022 Санкт-Петербург, ул. Льва Толстого, 6–8</p></bio><bio xml:lang="en"><p>Department of Neurosurgery</p><p>6–8 L’va Tolstogo St., Saint Petersburg 197022</p></bio><xref ref-type="aff" rid="aff-4"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Клиника нейрохирургии, АО «Европейский медицинский центр»; Центр постдипломного образования Медицинского института им. А.П. Зильбера ФГБОУ ВО «Петрозаводский&#13;
государственный университет»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Neurosurgery Clinic, European Medical Center; Center of Postgraduate Education, A.P. Zilber Medical Institute, Petrozavodsk State University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Клинический госпиталь «Лахта» группы компаний "Мать и дитя»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>«Lakhta» Hospital of the «Mother and child» Group of Companies</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Клиника нейрохирургии, АО «Европейский медицинский центр»; ФГАОУ ВО «Российский университет дружбы народов им. Патриса Лумумбы»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Neurosurgery Clinic, European Medical Center; Peoples’ Friendship University of Russia n. a. Patrice Lumumba</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru"><institution>ФГБОУ ВО «Санкт-Петербургский государственный медицинский университет им. акад. И. П. Павлова» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>I. P. Pavlov First Saint Petersburg State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>15</day><month>01</month><year>2026</year></pub-date><volume>27</volume><issue>4</issue><fpage>37</fpage><lpage>45</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Кивелёв Ю.В., Байлюк Е.Н., Кривошапкин А.Л., Черебилло В.Ю., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Кивелёв Ю.В., Байлюк Е.Н., Кривошапкин А.Л., Черебилло В.Ю.</copyright-holder><copyright-holder xml:lang="en">Kivelev Y.V., Bailiuk E.N., Krivoshapkin A.L., Cherebillo V.Y.</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.therjn.com/jour/article/view/1756">https://www.therjn.com/jour/article/view/1756</self-uri><abstract><sec><title>Введение</title><p>Введение. Популяционные характеристики сопутствующих заболеваний у пациентов с субарахноидальным кровоизлиянием (САК) освещены в литературе недостаточно широко.</p><p>Цель исследования – апробация метода сетевого анализа (СА) в изучении межполовых различий в сопутствующих заболеваниях у пациентов с САК на популяционном уровне.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Проведен СА популяционной выборки по типу «больших данных», включающей 628 831 пациента. В ходе анализа были созданы статистические сети сопутствующих заболеваний у 873 пациентов с САК из аневризм разной локализации. Под сопутствующим заболеванием понимали любой дополнительный диагноз, который встречался в выборке у пациентов с разорвавшейся аневризмой как до, так и после САК. На финальной стадии СА были проанализированы все связи сопутствующих заболеваний с диагнозом САК и друг с другом на предмет статистической значимости.</p></sec><sec><title>Результаты</title><p>Результаты. Метод СА позволил выявить 336 статистически значимых связей между кодами диагнозов. Количество сопутствующих заболеваний у женщин было в 1,7 раза выше, чем у мужчин. Артериальная гипертензия статистически значимо коррелировала с развитием САК у женщин.</p></sec><sec><title>Выводы</title><p>Выводы. Метод СА применим для анализа клинических данных на уровне популяции. В ходе анализа установлено, что для женщин с диагнозом САК характерно наличие большего количества сопутствующих заболеваний, особенно при локализации аневризмы в вертебробазилярном бассейне. Интерпретация полученных результатов должна проводиться с учетом методологических особенностей СА.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Background</title><p>Background. The population characteristics of comorbidities in patients with subarachnoid hemorrhage (SAH) are insufficiently underlined in the literature.</p></sec><sec><title>Aim</title><p>Aim. To test the method of complex network analysis (NA) in studying sex differences in comorbidities among patients with SAH at the population level.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. CN analysis was conducted on a population-based «big data» sample, including 628,831 patients. Statistical networks of comorbidities were created for 873 patients with SAH caused by cerebral aneurysms rupture of various localizations. Comorbidities were defined as any additional diagnoses presenting in patients with a ruptured cerebral aneurysm both before and after the SAH event. At the final stage of the CN analysis, all associations of comorbidities with the index diagnosis and with each other were examined for statistical significance.</p></sec><sec><title>Results</title><p>Results. The CN analysis revealed 336 statistically significant associations between diagnostic codes. The number of comorbidities in women was 1.7 times higher than in men. In cases of vertebrobasilar aneurysms, the difference reached 10 times. Arterial hypertension was statistically correlated with the development of SAH only in women.</p></sec><sec><title>Conclusion</title><p>Conclusion. The CN method is applicable for analyzing clinical data at the population level. The analysis revealed that women with SAH have a higher number of comorbidities, particularly in cases of vertebrobasilar aneurysms. Interpretation of the results should consider the limitations and advantages of the method.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>артериальная аневризма головного мозга</kwd><kwd>субарахноидальное кровоизлияние</kwd><kwd>сопутствующее заболевание</kwd><kwd>межполовые различия</kwd><kwd>сетевой анализ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>cerebral aneurysm</kwd><kwd>subarachnoid hemorrhage</kwd><kwd>comorbidities</kwd><kwd>sex differences</kwd><kwd>complex network analysis</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Авторы выражают признательность J. Piilo, R.N. Mantegna, A. Karlsson, P. Crisafulli, F. Musciotto за создание и анализ базы данных и осуществление сетевого статистического анализа.</funding-statement><funding-statement xml:lang="en">The authors thank J. Piilo, R.N. Mantegna, A. Karlsson, P. Crisafulli, and F. 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