Changes in the end part of the QRS complex and the ST-T segment in patients with coronavirus infection

封面

如何引用文章

全文:

详细

This article is devoted to the patterns of changes in the QRS complex and the ST-T segment in patients with a new coronavirus infection. The article presents the results of a comparison of electrocardiogram data in 70 patients with COVID-19 who were treated in 1st Department of Internal Medicine Postgraduate Training from April to July 2020. Each patient had at least two electrocardiograms taken (at the beginning and at the end of the disease). In the course of the work, a new method for measuring the area of the teeth P, T, QRS complex and ST-T segment was developed and described using the dynamic mathematical program GeoGebra Classic 6.0 by correlating the millimeter grids of the electrocardiogram and the program and further constructing an irregular shape taking into account the polarity of the teeth and segments. According to the study, the sum of the ST-T segment areas in all 12 leads is statistically significantly greater at the end of the disease in individuals over 30 years old. It is also significantly higher in the right thoracic leads (V1-V2) in for all ages. Probably, these changes are associated with the severity of the underlying disease and, consequently, with the overload of the right parts of the heart.

作者简介

Ekaterina Ryadnova

S.M. Kirov Military Medical Academy of the Russian Defense Ministry

编辑信件的主要联系方式.
Email: kate_31_96@mail.ru
ORCID iD: 0000-0001-8890-0414
SPIN 代码: 3590-9216

resident

俄罗斯联邦, 6, Akademika Lebedeva str., Saint Peterburg, 194044

Viktor Kitsyshin

S.M. Kirov Military Medical Academy of the Russian Defense Ministry

Email: kitsyshin@ya.ru
ORCID iD: 0000-0002-7797-5952
SPIN 代码: 5733-0983

MD, DSc (Medicine), Professor

俄罗斯联邦, 6, Akademika Lebedeva str., Saint Peterburg, 194044

Vladimir Salukhov

S.M. Kirov Military Medical Academy of the Russian Defense Ministry

Email: vlasaluk@yandex.ru
ORCID iD: 0000-0003-1851-0941
SPIN 代码: 4531-6011

MD, DSc (Medicine)

俄罗斯联邦, 6, Akademika Lebedeva str., Saint Peterburg, 194044

Aleksandr Сhugunov

S.M. Kirov Military Medical Academy of the Russian Defense Ministry

Email: alexandrchugun@yandex.ru
ORCID iD: 0000-0002-2532-6133
SPIN 代码: 3839-7619

adjunct

俄罗斯联邦, 6, Akademika Lebedeva str., Saint Peterburg, 194044

参考

  1. Zaytsev AA, Chernov SA, Kryukov EV, et al. Practical experience of managing patients with new coronavirus infection COVID-19 in the hospital (preliminary results and recommendations). Lechashchiy vrach. 2020;(6):74–79. (In Russ.) doi: 10.26295/OS.2020.41.94.014
  2. Zaуtsev AA, Savushkina OI, Chernyak AV, et al. Clinical and functional characteristics of patients who have undergone a new coronavirus infection COVID-19. Practical pulmonology. 2020;(1):78–81. (In Russ.)
  3. Zadionchenko VS, Shekhyan GG, Shchikota AM, Yalymov AA. Causes and clinical significance of ECG-phenomenon of ST segment elevation. Vestnik Ekstrennoy Meditsiny. 2019;4(12):60–70. (In Russ.)
  4. Shulenin SN, Boytsov SA, Bobrov AL. Clinical significance of the syndrome of early repolarization of the ventricles, an algorithm for examining patients. Arrhythmology Bulletin. 2007;50(50):33–40. (In Russ.)
  5. Stein PD, Matta F, Ekkah M, et al. Electrocardiogram in pneumonia. Am J Cardiol. 2012;12(110):1836–1840. doi: 10.1016/j.amjcard.2012.08.019
  6. Barman HA, Atici A, Alici G, et al. The effect of the severity COVID-19 infection on electrocardiography. Am J Emerg Med. 2020;10(38):27–31. doi: 10.1016/j.ajem.2020.10.005
  7. Baldi E, Sechi GM, Mare C, et al. COVID-19 kills at home: the close relationship between the epidemic and the increase of out-of-hospital cardiac arrests. Eur Heart J. 2020;32(41):3045–3054. doi: 10.1093/eurheartj/ehaa508
  8. Kenttä TV, Sinner MF, Nearing BD, et al. Repolarization Heterogeneity Measured With T-Wave Area Dispersion in Standard 12-Lead ECG Predicts Sudden Cardiac Death in General Population. Circ Arrhythm Electrophysiol. 2018;2(11):57–62. doi: 10.1161/CIRCEP.117.005762

补充文件

附件文件
动作
1. JATS XML

版权所有 © Ryadnova E.O., Kitsyshin V.P., Salukhov V.V., Сhugunov A.A., 2021

Creative Commons License
此作品已接受知识共享署名-非商业性使用-禁止演绎 4.0国际许可协议的许可。

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).