Preview

Medical alphabet

Advanced search

Heart electrical axis assessment: results of a survey of physicians in the Russian Federation. Analysis and discussion of the visual axis assessment method

https://doi.org/10.33667/2078-5631-2026-6-40-46

Abstract

Background. Determination of the QRS axis (axQRS) plays a significant role in electrocardiograms’ (ECG) interpretation. Although multiple techniques have been introduced for estimating of axQRS, the frequency of their use by practicing physicians unknown. The study aimed to explore the frequency of usage of different axQRS assessment methods and evaluate physicians’ attitudes toward the accuracy of automatic axQRS determinations. Materials and methods. A web-based questionnaire was administered via Yandex Forms between June 24th and July 6th, 2025. Respondents included functional diagnostics physicians and cardiologists invited through specialized groups on the Telegram messenger. The obtained data underwent statistical analysis using R software. Key Findings. Analysis of 689 completed questionnaires indicated that the most common approach for axQRS estimation is the visual approximation method, which is favored by the majority of surveyed physicians (56%). Only 10% of respondents reported relying exclusively on precise table-based or calculator-assisted calculations. According to the consensus view of most participants, an acceptable level of accuracy for axQRS determination lies within approximately ±8 degrees. A substantial proportion of doctors expressed overall satisfaction with the accuracy of automated axQRS evaluations. Conclusion. The visual method has emerged as the preferred choice among physicians owing to its ease and practicality. Published evidence supports its high concordance with more exact computational approaches for determining axQRS position. Furthermore, many physicians find the outcomes provided by automated axQRS calculations satisfactory. The visual method for determining axQRS positions in Gertsch – Mueller-Leisse variant is described and recommended for practical use.

About the Authors

D. V. Drozdov
National Medical Research Center for Cardiology named after Academician E.I. Chazov of the Ministry of Health of the Russian Federation
Russian Federation

Drozdov Dmitrii V. – PhD, Leading Researcher, Head of the ECG Laboratory

Moscow



Yu. E. Teregulov
Kazan State Medical Academy – a Branch Campus of the FSBEI FPE RMACPE MOH Russia
Russian Federation

Teregulov Yu.E. – MD, PhD, Head of the Department of Functional Diagnostics

Kazan



D. V. Shutov
State Budget-Funded Heath Care Institution of the City of Moscow "Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department"
Russian Federation

Shutov D.V. – MD, Clinical Physiologist, Organizational and Methodological Department for Radiology and Instrumental Diagnostics

Moscow



References

1. R Core Team (2025). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Электронный ресурс. https://www.R-project.org/ (дата обращения: 02.12.2025).

2. Petri A., Sabin K. Naglyadnaya medicinskaya statistika; uchebnoe posobie [Visual medical statistics: manual]. Moscow, GEOTAR-Media.2021, 232p.

3. Rakhmanova Yu.V. Methods of Sociological Research Moscow: Herzen State Pedagogical University of Russia, 2021. – 124 p.

4. Beresten N. F., Sobolev K. E., Kakorina E. P. Analysis of the results of the work of departments and offices of functional diagnostics. Medical alphabet. 2022;(20):8–15. https://doi.org/10.33667/2078–5631–2022–20–8–15.

5. Lukogorskaya N.N., Vishnyakov N.I., Barsukova I.M. Current state of functional diagnostics divisions in the Russian Federation // Current problems of health care and medical statistics. – 2024. – №. 3. – P. 615–627. DOI 10.24412/2312-2935-2024-3-615-627.

6. Gertsch M. The ECG manual: an evidence-based approach. – London: Springer London. – 2009.

7. Mueller-Leisse J., Syrbius G., Hillmann, H.A.K. et al. Determining the QRS axis: visual estimation is equal to calculation. Herzschr Elektrophys 36, 70–74 (2025). DOI 10.1007/s00399-025-01065-x.

8. Zhang (2016) A vector-based algorithm to differentiate septal and free wall sites of origin of ventricular arrhythmias in the right ventricular outflow tract. Int J Heart Rhythm1:43–49. DOI 10.4103/2352-4197.191481.

9. Gao Q, Dai Z, Hu Y, Bie F, Yang B. A new method to determine the QRS axis—QRS axis determination. Clin Cardiol. 2020; 43: 1534–1538. DOI 10.1002/clc.23477.


Review

For citations:


Drozdov D.V., Teregulov Yu.E., Shutov D.V. Heart electrical axis assessment: results of a survey of physicians in the Russian Federation. Analysis and discussion of the visual axis assessment method. Medical alphabet. 2026;(6):40-46. (In Russ.) https://doi.org/10.33667/2078-5631-2026-6-40-46

Views: 655

JATS XML


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


ISSN 2078-5631 (Print)
ISSN 2949-2807 (Online)