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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">healthcare</journal-id><journal-title-group><journal-title xml:lang="ru">Здравоохранение. Healthcare</journal-title><trans-title-group xml:lang="en"><trans-title>Healthcare</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1027-7218</issn><publisher><publisher-name>Republican Scientific and Practical Center for Medical Technologies, Informatization, Management and Health Economics</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.65249/1027-7218-2026-3-13-21</article-id><article-id custom-type="elpub" pub-id-type="custom">healthcare-255</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>НАУЧНЫЕ ИССЛЕДОВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SCIENTIFIC RESEARCH</subject></subj-group></article-categories><title-group><article-title>Оценка риска формирования аутоиммунного полигландулярного синдрома 3а типа у детей с сахарным диабетом 1-го типа</article-title><trans-title-group xml:lang="en"><trans-title>Assessment of the risk of developing autoimmune polyglandular syndrome type 3a in children with type 1 diabetes</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0008-0189-7047</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Волкова</surname><given-names>Н. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Volkava</surname><given-names>N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Волкова Наталия Васильевна – врач – детский эндокринолог</p><p>ул. Нарочанская, 17, 220020, г. Минск </p><p>сл. тел. +375 29 148-17-58</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/0009-0002-4093-1267</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Солнцева</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Solntsava</surname><given-names>A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Солнцева Анжелика Викторовна</p><p>Минск</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>2-я городская детская клиническая больница</institution><country>Belarus</country></aff><aff xml:lang="ru" id="aff-2"><institution>Республиканский научно-практический центр детской онкологии,&#13;
гематологии и иммунологии</institution><country>Belarus</country></aff><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>13</day><month>04</month><year>2026</year></pub-date><volume>0</volume><issue>3</issue><fpage>13</fpage><lpage>21</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Волкова Н.В., Солнцева А.В., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Волкова Н.В., Солнцева А.В.</copyright-holder><copyright-holder xml:lang="en">Volkava N., Solntsava A.</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://healthcare.ejournal.by/jour/article/view/255">https://healthcare.ejournal.by/jour/article/view/255</self-uri><abstract><sec><title>Цель исследования</title><p>Цель исследования. Разработать методы стратификации групп высокого риска формирования аутоиммунного полигландулярного синдрома 3а типа у детей с сахарным диабетом (СД) 1-го типа.</p></sec><sec><title>Материал и методы</title><p>Материал и методы. У 52 пациентов с аутоиммунным полигландулярным синдромом 3а типа (сочетание СД 1-го типа и аутоиммунных тиреоидных заболеваний), 95 пациентов с СД 1-го типа и 30 пациентов группы контроля проведен сравнительный анализ данных анамнеза, уровней диабет-ассоциированных антител (к тирозиновой фосфатазе, инсулину, глутаматдекарбоксилазе, цинковому транспортеру 8), полиморфизмов генов иммунного ответа (CTLA-4, PTPN22, HLA-DRВ1, -DQB1, -DQA1).</p></sec><sec><title>Результаты</title><p>Результаты. Определены значимые факторы, ассоциированные с развитием аутоиммунных тиреопатий у детей с СД 1-го типа: манифестация аутоиммунного СД в возрасте младше 3 или старше 12 (девочки)/13 (мальчики) лет (ОШ = 2,84, 95 % ДИ (1,30–6,20)); наследственная отягощенность по аутоиммуннй тиреоидной патологии (ОШ = 3,14, 95 % ДИ (1,33–6,55)); уровень антител к цинковому транспортеру 8 больше 460,0 МЕ/мл при стаже СД 1-го типа менее 3 лет и антител к глутаматдекарбоксилазе больше 43,0 МЕ/мл при длительности заболевания более 3 лет (ОШ = 5,48, 95 % ДИ (2,52–11,88)); комбинации генотипов: у девочек rs231775 CTLA-4AG+GG/rs2476601 PTPN22СT+TT, у мальчиков rs231775 CTLA-4AG+GG/HLA-DRB1*04:Х/04:Х (где DRB1*04:Х – аллели DRB1*04:01, 04:02, 04:04, 04:05, 04:10) (ОШ = 5,01, 95 % ДИ (2,21–11,36)). Разработана прогностическая модель для определения вероятности развития аутоиммунных тирепатий у детей с СД 1-го типа, имеющая показатели чувствительности 77,3 %, специфичности 63,7 %. Определен алгоритм, позволяющий пошагово стратифировать группы высокого риска формирования аутоиммунного полигландулярного синдрома 3а типа.</p></sec><sec><title>Заключение</title><p>Заключение. Применение разработанных модели и алгоритма способствует индивидуализации скрининга аутоиммунных тиреоидных заболеваний у детей с СД 1-го типа.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Objective</title><p>Objective. To develop a prognostic model for determining the probability of autoimmune polyglandular syndrome type 3a development in children with type 1 diabetes.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. A comparative analysis of the data of 52 children with autoimmune polyglandular syndrome type 3a, 95 patients with type 1 diabetes, and 30 healthy children was performed. The analyzed data included: anamnesis, levels of diabetes-associated antibodies (against tyrosine phosphatase, insulin, glutamate decarboxylase, zinc transporter 8), polymorphic variants of genes (CTLA-4, PTPN22, HLA-DRB1, -DQB1, -DQA1).</p></sec><sec><title>Results</title><p>Results. Factors associated with thyroid autoimmunity in children with type 1 diabetes were identified: onset of diabetes at the age &lt; 3 or &gt; 12 (girls)/13 (boys) years (OR = 2.84, 95 % CI (1.30–6.20)), family history of autoimmune thyroid diseases (OR = 3.14, 95 % CI (1.33–6.55)); levels of zinc transporter 8 antibodies &gt; 460.0 IU/mL with diabetes duration less than 3 years and levels of glutamate decarboxylase antibodies &gt; 43.0 IU/mL with disease duration more than 3 years (OR = 5.48, 95 % CI (2.52–11.88)); combined genotypes: in girls – rs231775 CTLA-4AG+GG/rs2476601 PTPN22СT+TT; in boys – rs231775 CTLA-4AG+GG/HLA-DRB1*04:Х/04:Х (where DRB1*04: X – alleles DRB1*04:01, 04:02, 04:04, 04:05, 04:10), (OR = 5.01, 95 % CI (2.21–11.36)).</p><p>A prognostic model with 77.3 % sensitivity and 63.7 % specificity was constructed to determine the probability of developing autoimmune thyroid disease in children with type 1 diabetes. An algorithm was developed to stepwise stratify high-risk groups of autoimmune polyglandular syndrome type 3a.</p></sec><sec><title>Conclusion</title><p>Conclusion. The developed model and algorithm facilitate the individualization of autoimmune thyroid disease screening in children with type 1 diabetes.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>математическая модель</kwd><kwd>дети</kwd><kwd>аутоиммунный полигландулярный синдром 3а типа</kwd><kwd>сахарный диабет 1-го типа</kwd><kwd>диабет-ассоциированные антитела</kwd><kwd>гены иммунного ответа</kwd></kwd-group><kwd-group xml:lang="en"><kwd>prognostic model</kwd><kwd>autoimmune polyglandular syndrome type 3a</kwd><kwd>type 1 diabetes</kwd><kwd>immune response genes</kwd><kwd>diabetesassociated antibodies</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">Marquez, A. 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