<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">transmed</journal-id><journal-title-group><journal-title xml:lang="ru">Трансляционная медицина</journal-title><trans-title-group xml:lang="en"><trans-title>Translational Medicine</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2311-4495</issn><issn pub-type="epub">2410-5155</issn><publisher><publisher-name>Almazov National Medical Research Centre, Saint Petersburg, Russia</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18705/2311-4495-2023-10-3-136-145</article-id><article-id custom-type="elpub" pub-id-type="custom">transmed-848</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>ЭНДОКРИНОЛОГИЧЕСКИЕ ЗАБОЛЕВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>METABOLIC DISEASES</subject></subj-group></article-categories><title-group><article-title>ОЦЕНКА ПРОГНОСТИЧЕСКОЙ ЦЕННОСТИ ШКАЛ ABCD И IMS В НАСТУПЛЕНИИ РЕМИССИИ САХАРНОГО ДИАБЕТА 2 ТИПА У ПАЦИЕНТОВ ПОСЛЕ БАРИАТРИЧЕСКОЙ ХИРУРГИИ</article-title><trans-title-group xml:lang="en"><trans-title>PROGNOSTIC VALUE OF THE ABCD AND IMS FOR EVALUATION OF TYPE 2 DIABETES MELLITUS REMISSION AFTER BARIATRIC SURGERY</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Неймарк</surname><given-names>А. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Neimark</surname><given-names>A. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Неймарк Александр Евгеньевич, к.м.н., доцент, ведущий научный сотрудник, заведующий НИЛ хирургии метаболических нарушений</p><p>ул. Аккуратова, д. 2, Санкт-Петербург, 197341</p></bio><bio xml:lang="en"><p>Aleksandr E. Neimark, PhD, associate professor, Leading Researcher, Head of Research Laboratory for Surgery of Metabolic Disorders</p><p>Akkuratova str., 2, Saint Petersburg, 197341</p></bio><email xlink:type="simple">sas_spb@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Молоткова</surname><given-names>М. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Molotkova</surname><given-names>M. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Молоткова Мария Александровна, младший научный сотрудник НИЛ хирургии метаболических нарушений</p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Mariia A. Molotkova, Research Assistant, Research Laboratory for Surgery of Metabolic Disorders</p><p>Saint Petersburg</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Макарова</surname><given-names>Е. О.</given-names></name><name name-style="western" xml:lang="en"><surname>Makarova</surname><given-names>E. O.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Макарова Екатерина Олеговна, ординатор 2 года по специальности «эндокринология»</p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Ekaterina O. Makarova, Postgraduate student, Department of Endocrinology</p><p>Saint Petersburg</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гальченко</surname><given-names>М. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Galchenko</surname><given-names>M. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гальченко Максим Иванович, старший преподаватель</p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Maxim I. Galchenko, Senior lecturer</p><p>Pushkin, Saint Petersburg</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Федеральное государственное бюджетное учреждение «Национальный медицинский исследовательский центр имени В. А. Алмазова» Министерства здравоохранения Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Almazov National Medical Research Centre</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Федеральное государственное бюджетное образовательное учреждение высшего образования «Санкт-Петербургский государственный аграрный университет»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Saint Petersburg State Agrarian 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>08</month><year>2023</year></pub-date><volume>10</volume><issue>3</issue><fpage>136</fpage><lpage>145</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Неймарк А.Е., Молоткова М.А., Макарова Е.О., Гальченко М.И., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Неймарк А.Е., Молоткова М.А., Макарова Е.О., Гальченко М.И.</copyright-holder><copyright-holder xml:lang="en">Neimark A.E., Molotkova M.A., Makarova E.O., Galchenko M.I.</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://transmed.almazovcentre.ru/jour/article/view/848">https://transmed.almazovcentre.ru/jour/article/view/848</self-uri><abstract><p>Актуальность. Бариатрическая хирургия приводит к значительной потере веса и улучшает метаболические исходы с ремиссией диабета у значительной части пациентов с ожирением и сахарным диабетом 2 типа. Для прогнозирования эффекта хирургического лечения на течение сахарного диабета 2 типа были предложены несколько шкал.Цель. Оценка точности шкал IMS и ABCD в прогнозировании ремиссии СД 2 типа у пациентов, перенесших бариатрическое вмешательство.Материалы и методы. На основании ретроспективного анализа в исследование были включены 38 пациентов с СД2 после бариатрической операции со сроком наблюдения не менее 1 года. Для обработки данных применялась платформа KNIME Analytics Platform 4.3.6 (KNIME AG, Швейцария). 12,8 % пациентов достигли частичной ремиссии, 52,6 % — полной, 31,6 % не достигли ремиссии.Результаты. Для шкалы IMS критерий хи-квадрат не позволяет говорить о наличии статистически значимой связи. Прогностическая ценность шкалы IMS низкая. Для шкалы ABCD получен статистически значимый результат при разделении на интервалы баллов в соответствии с результатом с помощью алгоритма CAIM. Для бинарной классификации («Ремиссия»/«Нет ремиссии»): AUC = 0,98, каппа Коэна к = 0,86, при пороговом значении вероятности ремиссии P = 0,55399, подобранном для максимизации F-measure (0,96). Таким образом, результаты прогноза по шкале ABCD и реальные результаты хорошо согласованы. Шкала ABCD имеет высокую прогностическую ценность.Заключение. По результатам проведенного анализа сделан вывод о лучшей прогностической ценности шкалы ABCD. Простота применения, хороший прогностический эффект позволяют рекомендовать ABCD при планировании бариатрического лечения.</p></abstract><trans-abstract xml:lang="en"><p>Background. Significant proportion of patients with obesity and type 2 diabetes mellitus (DM) have significant weight loss and improved metabolic outcomes as a result of bariatric surgery. To predict the effect of surgical treatment of DM, several scales have been proposed, including ABCD and IMS.Objective. To estimate accuracy of the ABCD and IMS scales in predicting DM remission in patients undergoing bariatric surgery.Design and methods. 38 patients with type 2 diabetes were identified after bariatric surgery with a follow-up period of at least 1 year. The KNIME Analytics Platform 4.3.6 (KNIME AG, Switzerland) was used for data processing.Results. 12.8 % of patients achieved partial remission, 52.6 % complete remission, and 31.6 % did not achieve remission. According to the IMS, no significant results were detected in the remission groups. IMS scale have a low predictive value. A significant result was obtained for the ABCD after CAIM binning. For the binary classification (“Remission”/”Haven’t remission”): AUC = 0.98 and Cohen’s kappa k = 0.86 for probability treshold 0.55399, that maximized F-measure (0.96) were obtained. So, ABCD predictive value is high.Conclusion. The ABCD have a better predictive value. Ease of use, good prognostic effect allows us to recommend ABCD before bariatric treatment.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>бариатрическая хирургия</kwd><kwd>метаболическая хирургия</kwd><kwd>ожирение</kwd><kwd>ремиссия диабета</kwd><kwd>шкала ABCD</kwd><kwd>IMS</kwd></kwd-group><kwd-group xml:lang="en"><kwd>ABCD</kwd><kwd>bariatric surgery</kwd><kwd>diabetes remission</kwd><kwd>IMS</kwd><kwd>metabolic surgery</kwd><kwd>obesity</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена за счет средств государственного задания № 121031000362-3.</funding-statement><funding-statement xml:lang="en">The work was carried out at the expense of state task No. 121031000362-3.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Jakobsen GS, Småstuen MC, Sandbu R, et al. Association of Bariatric Surgery vs Medical Obesity Treatment With Long-term Medical Complications and Obesity-Related Comorbidities. JAMA. 2018; 319(3):291–301. DOI: 10.1001/jama.2017.21055.</mixed-citation><mixed-citation xml:lang="en">Jakobsen GS, Småstuen MC, Sandbu R, et al. Association of Bariatric Surgery vs Medical Obesity Treatment With Long-term Medical Complications and Obesity-Related Comorbidities. JAMA. 2018; 319(3):291–301. DOI: 10.1001/jama.2017.21055.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Корнюшин О.В., Сакеян И.С., Кравчук Е.Н. и др. Прогнозирование ремиссии сахарного диабета 2 типа после выполнения бариатрической операции. Сахарный диабет. 2021; 24(6):565–570. DOI: 10.14341/DM12814.</mixed-citation><mixed-citation xml:lang="en">Kornyushin OV, Sakeian IS, Kravchuk EN, et al. Prediction of remission of type 2 diabetes mellitus after bariatric surgery. Diabetes mellitus. 2021; 24(6):565–570. In</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Lee WJ, Hur KY, Lakadawala M, et al. Predicting success of metabolic surgery: age, body mass index, C-peptide, and duration score. Surg Obes Relat Dis. 2013; 9(3):379–384. DOI: 10.1016/j.soard.2012.07.015.</mixed-citation><mixed-citation xml:lang="en">Lee WJ, Hur KY, Lakadawala M, et al. Predicting success of metabolic surgery: age, body mass index, C-peptide, and duration score. Surg Obes Relat Dis. 2013; 9(3):379–384. DOI: 10.1016/j.soard.2012.07.015.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Singh P, Adderley NJ, Hazlehurst J, et al. Prognostic Models for Predicting Remission of Diabetes Following Bariatric Surgery: A Systematic Review and Meta-analysis. Diabetes Care. 2021; 44(11):2626–2641. DOI: 10.2337/dc21-0166.</mixed-citation><mixed-citation xml:lang="en">Singh P, Adderley NJ, Hazlehurst J, et al. Prognostic Models for Predicting Remission of Diabetes Following Bariatric Surgery: A Systematic Review and Meta-analysis. Diabetes Care. 2021; 44(11):2626–2641. DOI: 10.2337/dc21-0166.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Aminian A, Andalib A. Individualized metabolic surgery (IMS) score. Surgery for Obesity and Related Diseases. 2018; 14:1921–1922. DOI: 10.1016/j.soard.2018.09.009.</mixed-citation><mixed-citation xml:lang="en">Aminian A, Andalib A. Individualized metabolic surgery (IMS) score. Surgery for Obesity and Related Diseases. 2018; 14:1921–1922. DOI: 10.1016/j.soard.2018.09.009.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Aminian A, Brethauer SA, Andalib A, et al. Individualized Metabolic Surgery Score: Procedure Selection Based on Diabetes Severity. Ann Surg. 2017; 266(4):650–657. DOI: 10.1097/SLA.0000000000002407.</mixed-citation><mixed-citation xml:lang="en">Aminian A, Brethauer SA, Andalib A, et al. Individualized Metabolic Surgery Score: Procedure Selection Based on Diabetes Severity. Ann Surg. 2017; 266(4):650–657. DOI: 10.1097/SLA.0000000000002407.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Неймарк А.Е., Молоткова М.А., Макарова Е.О. и др. Оценка прогностической ценности шкал DiaRem и Ad-DiaRem у пациентов с сахарным диабетом 2 типа после бариатрической хирургии. Московский хирургический журнал. 2022; 4: 41–48. DOI: 10.17238/2072-3180-2022-4-41-48.</mixed-citation><mixed-citation xml:lang="en">Neimark AE, Molotkova МА, Makarova ЕО, et al. The prognostic value of DiaRem and Ad-DiaRem in patients with type 2 diabetes mellitus after bariatric surgery. Moscow Surgical Journal. 2022; 4: 41–48.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Дедов И.И., Шестакова М.В., Майоров А.Ю. и др. Алгоритмы специализированной медицинской помощи больным сахарным диабетом / Под ред. И. И. Дедова, М. В. Шестаковой, А. Ю. Майорова. 10-й вып. Сахарный диабет. 2021; 24(1S):1–148. DOI: 10.14341/DM12802.</mixed-citation><mixed-citation xml:lang="en">Dedov II, Shestakova MV, Mayorov AYu, et al.10th edition. Diabetes mellitus. 2021; 24(1S):1–148. In Russian</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021; 44(Suppl 1):S15–S33. DOI: 10.2337/dc21-S002.</mixed-citation><mixed-citation xml:lang="en">American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021; 44(Suppl 1):S15–S33. DOI: 10.2337/dc21-S002.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Berthold MR, Cebron N, Dill F, et al. KNIME: The Konstanz Information Miner. Studies in Classification, Data Analysis, and Knowledge Organization. 2007: 319–326. DOI:10.1007/978-3-540-78246-9_38.</mixed-citation><mixed-citation xml:lang="en">Berthold MR, Cebron N, Dill F, et al. KNIME: The Konstanz Information Miner. Studies in Classification, Data Analysis, and Knowledge Organization. 2007: 319–326. DOI:10.1007/978-3-540-78246-9_38.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Kurgan LА, Krzysztof JC. CAIM discretization algorithm. IEEE Transactions on Knowledge and Data Engineering. 2004; 16(2):145–153. DOI: 10.1109/TKDE.2004.1269594.</mixed-citation><mixed-citation xml:lang="en">Kurgan LА, Krzysztof JC. CAIM discretization algorithm. IEEE Transactions on Knowledge and Data Engineering. 2004; 16(2):145–153. DOI: 10.1109/TKDE.2004.1269594.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">McHugh ML. Interrater reliability: the kappa statistic. Biochemia Medica. 2012; 22(3):276–282.</mixed-citation><mixed-citation xml:lang="en">McHugh ML. Interrater reliability: the kappa statistic. Biochemia Medica. 2012; 22(3):276–282.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Chen JC, Hsu NY, Lee WJ, et al. Prediction of type 2 diabetes remission after metabolic surgery: a comparison of the individualized metabolic surgery score and the ABCD score. Surg Obes Relat Dis. 2018; 14(5):640–645. DOI: 10.1016/j.soard.2018.01.027.</mixed-citation><mixed-citation xml:lang="en">Chen JC, Hsu NY, Lee WJ, et al. Prediction of type 2 diabetes remission after metabolic surgery: a comparison of the individualized metabolic surgery score and the ABCD score. Surg Obes Relat Dis. 2018; 14(5):640–645. DOI: 10.1016/j.soard.2018.01.027.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Sjöholm K, Carlsson LMS, Taube M, et al. Comparison of Preoperative Remission Scores and Diabetes Duration Alone as Predictors of Durable Type 2 Diabetes Remission and Risk of Diabetes Complications After Bariatric Surgery: A Post Hoc Analysis of Participants From the Swedish Obese Subjects Study. Diabetes Care. 2020; 43(11):2804–2811. DOI: 10.2337/dc20-0157.</mixed-citation><mixed-citation xml:lang="en">Sjöholm K, Carlsson LMS, Taube M, et al. Comparison of Preoperative Remission Scores and Diabetes Duration Alone as Predictors of Durable Type 2 Diabetes Remission and Risk of Diabetes Complications After Bariatric Surgery: A Post Hoc Analysis of Participants From the Swedish Obese Subjects Study. Diabetes Care. 2020; 43(11):2804–2811. DOI: 10.2337/dc20-0157.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
