Preview

Ultrasound & Functional Diagnostics

Advanced search

Prognostically significant parameters of vector electrocardiography in patients with acute decompensation of heart failure with reduced left ventricular ejection fraction

https://doi.org/10.24835/1607-0771-275

Abstract

Computational vector electrocardiography (vECG) is a method for visualizing the total heart vector output in 3-dimensional mode based on 12 lead and distributed computational procedures. This method can be an additional to assess severity and prognosis in patients with acute decompensated heart failure (ADHF).

Objective: to investigate the vECG parameters associated with poor prognosis in patients with ADHF.

Materials and methods. ECG data of 100 patients with ADHF were analyzed. All patients underwent baseline clinical examination, echocardiography, and a natriuretic peptide (NT-proBNP) test. Mortality was recorded during follow-up for 12 months. The correlation of vECG and NT-proBNP parameters with the prognosis of patients was evaluated.

Results. Due to the period of follow-up, 17 patients died. According to vECG data, the surviving patients had a smaller spatial QRS-T angle compared to the deceased patients (p = 0.039). Statistically insignificant values (p = 0.076) of the planarity index in the group of deceased patients were revealed. ROC-analysis revealed the cut-off value of QRS-T spatial angle equal to 164.5°with sensitivity of 53% and specificity of 71%. The QRS-T spatial angle values above the cut-off value indicate a higher probability of lethal outcome. The cut-off value of 999.35 pg/ml of NT-proBNP in patients with the value of QRS-T angle of 164.5° associated with an unfavorable prognosis was revealed.

Conclusions. vECG can be used as a simple method to predict and assess the risk of fatal outcome in patients with ADHF and reduced left ventricular ejection fraction. The most significant parameter is the value of QRS-T spatial angle. An increase in the QRS-T spatial angle is associated with an increased risk of fatal outcome. Thus, vECG analysis may be a useful tool for identification of high-risk patients and influence the treatment strategy.

About the Authors

A. A. Vashtanian
National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow
Russian Federation

Albert K. Vashtanian – Postgraduate Student of the Department of Myocardial Diseases and Heart Failure of National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow.
https://orcid.org/0009-0009-9581-187X



T. M. Uskach
National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation; Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of the Russian Federation, Moscow
Russian Federation

Tatiana M. Uskach – Doct. of Sci. (Med.), leading researcher of the Department of myocardial diseases and heart failure National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation; Professor of the Department of Cardiology, Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of the Russian Federation, Moscow.
https://orcid.org/0009-0009-9581-187X



V. V. Amanatova
National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow
Russian Federation

Valeria A. Amanatova – Cand. of Sci. (Med.), researcher of the Department of myocardial diseases and heart failure National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow.
https://orcid.org/0009-0009-9581-187X



M. D. Muxinova
National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow
Russian Federation

Marina D. Muxinova – Cand. of Sci. (Med.), Cardiologist, Department of Myocardial Diseases and Heart Failure, National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow.
https://orcid.org/0009-0009-9581-187X



T. A. Sakhnova
National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow
Russian Federation

Tamara A. Sakhnova – Cand. of Sci. (Med.),  Senior Researcher, ECG Laboratory, National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow.
https://orcid.org/0009-0009-9581-187X



E. V. Blinova
National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow
Russian Federation

Elena V. Blinova – Cand. of Sci. (Med.),  researcher of the ECG Laboratory of National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow.
https://orcid.org/0009-0009-9581-187X



E. S. Kozhemyakina
National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow
Russian Federation

Elena Sh. Kozhemyakina – programmer of ECG laboratory of National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow.
https://orcid.org/0009-0009-9581-187X



S. N. Tereshchenko
National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow
Russian Federation

Sergey N. Tereshchenko – Doct. of Sci. (Med.), Head of the Department of Myocardial Diseases and Heart Failure, National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow.
https://orcid.org/0000-0001-9234-6129



A. A. Skvortsov
National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow

Andrey A. Skvortsov – Doct. of Sci. (Med.), leading researcher of the Department of myocardial diseases and heart failure of National medical research centre of cardiology named after academician E.I. Chazov of the Ministry of Healthcare of the Russian Federation, Moscow.
https://orcid.org/0000-0003-2712-927X



References

1. Ponikowski P., A. Voors A., D. Anker S. et al. 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. Russian Journal of Cardiology. 2017; 1: 7–81. https://doi.org/10.15829/1560-4071-2017-1-7-81 (In Russian)

2. Maggioni A.P., Dahlström U., Filippatos G. et al.; Heart Failure Association of the European Society of Cardiology (HFA). EURObservational Research Programme: regional differences and 1-year follow-up results of the Heart Failure Pilot Survey (ESC-HF Pilot). Eur. J. Heart Fail. 2013; 15 (7): 808–817. https://doi.org/10.1093/eurjhf/hft050

3. Arutyunov A.G., Dragunov D.O., Arutyunov G.P., Rylova A.K., Pashkevich D.D., Viter K.V. The first open study of acute decompensation syndrome of heart failure and concomitant diseases in the Russian Federation. Independent registry ORACLE-RF. https://dx.doi.org/10.18565/cardio.2015.5.12-21 (In Russian)

4. Tereshchenko S.N., Galyavich A.S., Uskach T.M. et al. Russian clinical recommendations on chronic heart failure 2020. [https://scardio.ru/content/Guidelines/2020/Clinic_rekom_HSN-unlocked.pdf].

5. Jaros R, Martinek R, Danys L. Comparison of Different Electrocardiography with Vectorcardiography Transformations. Sensors (Basel). 2019; 19 (14): 3072. https://doi.org/10.3390/s19143072.

6. Maddox T.M., Januzzi J.L., Larry A. et al. 2021 Update to the 2017 ACC Expert Consensus Decision Pathway for Optimization of Heart Failure Treatment: Answers to 10 Pivotal Issues About Heart Failure With Reduced Ejection Fraction: A Report of the American College of Cardiology Solution Set Oversight Committee. J. Am. Coll. Cardiol. 2021; 77 (6): 772–810. https://doi.org/10.1016/j.jacc.2020.11.022

7. Trunov V.G., Aidu E.A., Blinova E.V., Sakhnova T.A. Synthesis of McFee-Parungao corrected orthogonal lead system signals from 12 lead electrocardiogram. Medical Alphabet. 2017; 1 (14): 16–21. (In Russian)

8. Blinova E.V., Sakhnova T.A., Ryabykina G.V. The use of synthesized vector cardiograms in the diagnosis of right ventricular hypertrophy in patients with pulmonary hypertension. Manual for practitioners. Medical alphabet. 2019; 4 (36): 32–46. (In Russian)

9. Jortani SA, Prabhu SD, Valdes R, Jr. Strategies for developing biomarkers of HF. Clin Chem. 2004; 50: 265–278. https://doi.org/10.1373/clinchem.2003.027557

10. Tereshchenko S.N., Zhirov I.V., Nasonova S.N., et al. Pathophysiology of acute heart failure. What’s new? Russian Journal of Cardiology. 2016; (9):52-64. https://doi.org/10.15829/1560-4071-2016-9-52-64 (In Russian)

11. Sakhnova T.A., Blinova E.V., Yurasova E.S. et al. Features of vectorcardiograms in patients with hypertension complicated by chronic heart failure with reduced left ventricle ejection fraction. Terapevticheskii arkhiv. 2022; 94 (9): 1067–1071. https://doi.org/10.26442/00403660.2022.09.201843

12. Andersen D.C., Kragholm K., Petersen L.T. et al. Association between vectorcardiographic QRS area and incident heart failure diagnosis and mortality among patients with left bundle branch block: A register-based cohort study. J. Electrocardiol. 2021; 69: 30–35. https://doi.org/10.1016/j.jelectrocard.2021.09.002

13.


Supplementary files

Review

For citations:


Vashtanian A.A., Uskach T.M., Amanatova V.V., Muxinova M.D., Sakhnova T.A., Blinova E.V., Kozhemyakina E.S., Tereshchenko S.N., Skvortsov A.A. Prognostically significant parameters of vector electrocardiography in patients with acute decompensation of heart failure with reduced left ventricular ejection fraction. Ultrasound & Functional Diagnostics. 2024;(3):34-45. (In Russ.) https://doi.org/10.24835/1607-0771-275

Views: 320


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1607-0771 (Print)
ISSN 2408-9494 (Online)