Application of a New Method of Noninvasive Aassessment of Carbohydrate Metabolism Disorders in the Population Screening
https://doi.org/10.15514/ISPRAS-2020-32(5)-9
Abstract
Method for conducting a non-invasive screening of the population for carbohydrate metabolism disorders (CMD) has been developed and described. The novelty of the method is that there are no medical standards in the field of endocrinology for the non-invasive type of screening, so the method was based on the results of a clinical study of electrocardiographic abnormalities in patients with CMD, where the method of non-invasive determination of CMD by first-lead ECG was used. During the development of the method, an additional analysis of the ECG sample obtained during the study was performed. As a result of the analysis, it was concluded that the effectiveness of the method (sensitivity and specificity) vary slightly depending on the time of taking an ECG during the day. This means that the patient can come to the screening using the new method of non-invasive detection of CMD not only in the morning and not necessarily on an empty stomach, in contrast to the invasive methods (fasting plasma glucose test and oral glucose tolerance test). To make a decision «there is a suspicion of CMD /there is no suspicion of CMD», the patient only needs to take up to 2 ECGs.
About the Authors
Andrey Aleksandrovich BEREZINRussian Federation
Consultant
Roman Sergeevich NOVIKOV
Russian Federation
Senior Researcher, Department of Mathematical Cardiology, «EC-leasing» Co., postgraduate student, HSE
Maxim Aleksandrovich NOVOPASHIN
Russian Federation
Head of the Department of Mathematical Cardiology
Boris Aronovich POZIN
Russian Federation
Doctor of Technical Sciences, Chief Technical Officer, «EC-leasing» Co, professor, Department of Information and Analytical Systems, HSE
Alexander Viktorovich SHMID
Russian Federation
Doctor of Technical Sciences, Prof., Chief Executive Officer «EC-leasing» Co, Head of the Department of Information and Analytical Systems, HSE
References
1. A. Shmid and A. Mkrtumyan. Remote Noninvasive Detection of Carbohydrate Metabolism Disorders by First-Lead ECG Screening in CardioQVARK Project. In Proc. of the International Conference on Actual Problems of Systems and Software Engineering (APSSE), 2019, pp. 139-145. doi: 10.1109/APSSE47353.2019.00025.
2. Дедов И.И., Шестакова М.В., Майоров А.Ю. и др. Алгоритмы специализированной медицинской помощи больным сахарным диабетом. Сахарный диабет, том 20, no. 15, 2017 г., стр. 1-121 / Dedov I.I., Shestakova M.V., Mayorov A.Yu. et al. Algorithms for specialized medical care for patients with diabetes mellitus. Diabetes Mellitus, vol. 20, no. 15, 2017, pp. 1-121 (in Russian).
3. World Health Organization. Global report on diabetes: executive summary. Document no. WHO/NMH/NVI/16.3, 2016.
4. International Diabetes Federation. IDF Diabetes Atlas, 9th ed. 2019.
5. Дедов И.И., Шестакова М.В., Галстян Г.Р. Распространенность сахарного диабета 2 типа у взрослого населения России (исследование NATION). Сахарный диабет, том 19, no. 2, 2016 г., стр. 104-112 / Dedov I.I., Shestakova M.V., Galstyan G.R. The prevalence of type 2 diabetes in the adult population of Russia (NATION study). Diabetes Mellitus, vol, 19m no. 2, 2016, pp. 104-112 (in Russian).
6. Корнеева М.Н., Поддубская Е.А., Марданов Б.У., Дудинская Е.Н. Ранние нарушения углеводного обмена в кардиологической практике: диагностика и лечение. Государственный научно-исследовательский центр профилактической медицины, 2017, 108 стр. / Korneeva M.N., Poddubskaya E.A., Mardanov B.U., Dudinsky E.N. Early disorders of carbohydrate metabolism in cardiological practice: diagnosis and treatment. State Research Center for Preventive Medicine, 2017, 108 p. (in Russian).
7. Мисникова И.В., Древаль А.В., Губкина В.А., Ковалева Ю.А. Алгоритм диагностики сахарного диабета 2-го типа и контроль углеводного обмена: пособие для врачей. МОНИКИ, 2015, 21 стр. / Misnikova I.V., Dreval A.V., Gubkina V.A., Kovaleva Yu.A. Algorithm for diagnosis of type 2 diabetes and control of carbohydrate metabolism: manual for doctors. MONIKI, 2015, 21 p. (in Russian).
8. CardioQVARK heart monitor. Available at: http://cardioqvark.ru/, accessed: 19.10.2020.
9. Шмид A.В., Березин А.А., Новопашин М.А., Новиков Р.С., Позин Б.А., Мкртумян А.М., Маркова Т.Н. Компьютеризированный способ неинвазивного выявления нарушений углеводного обмена по электрокардиограмме. Патент 2728869 Российская Федерация. 2020 / Shmid A.V., Berezin A.A., Novopashin M.A., Novikov R.S., Pozin B.A., Mkrtumyan A.M., Markova T.N. Computerized method for non-invasive detection of carbohydrate metabolism disorders by electrocardiogram. Patent 2728869 Russian Federation. 2020 (in Russian)
10. Novopashin M.A., Shmid A.V., Berezin A.A. Fermi-Pasta-Ulam auto recurrence in the description of the electrical activity of the heart. Medical hypotheses, vol. 101, 2017, pp. 12-16.
11. ГОСТ Р 53022.3-2008. Технологии лабораторные клинические. Требования к качеству клинических лабораторных исследований. Часть 3. Правила оценки клинической информативности лабораторных тестов. М., Стандартинформ, 2009, 20 стр. / State Standard 53022.3-2008. Laboratory clinical technologies. Requirements for the quality of clinical laboratory research. Part 3. Rules for assessing the clinical information content of laboratory tests. Moscow, Standartinform, 2009, 20 p. (In Russian).
Review
For citations:
BEREZIN A.A., NOVIKOV R.S., NOVOPASHIN M.A., POZIN B.A., SHMID A.V. Application of a New Method of Noninvasive Aassessment of Carbohydrate Metabolism Disorders in the Population Screening. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2020;32(5):121-130. https://doi.org/10.15514/ISPRAS-2020-32(5)-9