Preview

Medical alphabet

Advanced search

QT interval duration at a stable heart rate of 60 bpm is a new assessment parameter for Holter monitoring

https://doi.org/10.33667/2078-5631-2025-31-14-18

Abstract

The relevance of the study is due to the limitations in the calculation and evaluation of the corrected QT interval (QTc) in patients with Holter monitoring (Holter ECG).

Aim: to formulate an algorithm for determining the duration of the QT interval at a stable heart rate of 60 beats per minute during Holter monitoring, and to determine its advantages and limitations.

Material and research methods. The study included 90 patients, the average age of which was 54,48±14,8 (M±σ) years, including 42 men and 48 women, who underwent Holter ECG for 24 hours.

Research results. The developed method for measuring QT60 consists of the fact that during post-processing of daily Holter ECG data, a stable heart rhythm with a heart rate of 60±3 beats per minute is found, at the end of a 10-second period of which the QT value is measured, which is the QT60 interval. The closest in value to QT60 was the Sagie method (p=0.386), while the Bazett and Fridericia formulas showed reliable differences from QT60. The average values of QTc scatter during the entire registration period, calculated by the Sagie formula (QTсS), are statistically significantly less than the scatter of values by Bazett and Fridericia, which shows the best stability of QTсS to changes in heart rate.

Conclusion. 1. The proposed QT60 parameter is free from the disadvantages associated with the use of various calculation formulas and does not require the use of automatic analysis, which leads to significant errors, especially when the patient has various rhythm disturbances, and we propose using the QT60 value as an additional parameter for assessing the QT interval in clinical practice. 2. If it is not possible to find a stable heart rhythm with a heart rate of 60 beats per minute during Holter ECG, we recommend evaluating the average daily QTc value calculated using the Sagie formula.

About the Authors

Yu. E. Teregulov
KSMA-Branch Campus of the FSBEI FPE RMACPE MOH Russia; FSBEI HE Kazan SMU MOH Russia; Republican Clinical Hospital Ministry of health Republic of Tatarstan
Russian Federation

Yury E. Teregulov – MD, DSc, Associate Professor, Head of the Department of Functional Diagnostics, Associate Professor of the Department of Hospital Therapy, Head of the Functional Diagnostics Unit

Kazan



M. S. Maksimova
KSMA-Branch Campus of the FSBEI FPE RMACPE MOH Russia
Russian Federation

Maria S. Maksimova – MD, PhD, Associate Professor, Department of Functional Diagnostics

Kazan



M. M. Mangusheva
FSBEI HE Kazan SMU MOH Russia
Russian Federation

Marziya M. Mangusheva – MD, PhD, Associate Professor, Department of Hospital Therapy

Kazan



E. A. Atzel
KSMA-Branch Campus of the FSBEI FPE RMACPE MOH Russia
Russian Federation

Evgeniya A. Atsel – MD, DSc, Associate Professor, Professor of the Department of Therapy, Geriatrics and Family Medicine

Kazan



L. F. Salyamova
KSMA-Branch Campus of the FSBEI FPE RMACPE MOH Russia; Republican Clinical Hospital Ministry of health Republic of Tatarstan
Russian Federation

Liliya F. Salyamova – Assistant Lecturer, Department of Functional Diagnostics

Kazan



A. Yu. Teregulov
Kazan Federal University; epublican Clinical Hospital Ministry of health Republic of Tatarstan
Russian Federation

Andrey Yu. Teregulov – MD, PhD, Associate Professor, Department of Surgical Diseases of Postgraduate Education, Head of Interventional Radiology Unit No. 1

Kazan



I. I. Milyutina
KSMA-Branch Campus of the FSBEI FPE RMACPE MOH Russia; Republican Clinical Hospital Ministry of health Republic of Tatarstan
Russian Federation

Irina I. Milyutina – Laboratory Assistant, Functional Diagnostics Physician, Department of Functional Diagnostics

Kazan



References

1. Nielsen J.B. et al. Risk prediction of cardiovascular death based on the QTc interval: evaluating age and gender differences in a large primary care population. / Nielsen JB, Graff C, Rasmussen PV, Pietersen A, Lind B, Olesen MS, Struijk JJ, Haunsø S, Svendsen JH, Køber L, Gerds TA, Holst AG // European Heart Journal. – 2014. – № 35 (20). – P. 1335–1344. doi: 10.1093/eurheartj/ehu081.

2. Gaita F. et al. Short QT Syndrome: a familial cause of sudden death. / Gaita F, Giustetto C, Bianchi F, Wolpert C, Schimpf R, Riccardi R, Grossi S, Richiardi E, Borggrefe M. // Circulation. – 2003. – № 108 (8). – P. 965–970. doi: 10.1161/01.CIR.0000085071.28695.C4.

3. Teregulov Yu.E. Evaluation of the QT interval during stress tests / Yu.E. Teregulov, L.F. Salyamova, N.V. Maksumova, A.F. Gizatullina // Practical medicine/ – 2018.– № 1 (112). – P. 30–36.

4. Bazett H.C. An analysis of the time-relations of electrocardiograms // Heart. – 1920. – № 7. – P. 353–370. https://doi.org/10.1111/j.1542-474X.1997.tb00325.x.

5. Fridericia LS. The duration of systole in the electrocardiogram of normal subjects and of patients with heart disease // Ann Noninvasive Electrocardiol. 2003 Sep 30;8(4):343–351. doi: 10.1046/j.1542-474X.2003.08413.x.

6. ICH guideline E14/S7B: clinical and nonclinical evaluation of QT/QTc interval prolongation and proarrhythmic potential – questions and answers – Scientific guideline. Update 2022 Esc 2022. https://www.ema.europa.eu/en/ich-guideline-e14-s7b-clinical-nonclinical-evaluation-qt-qtc-interval-prolongation-proarrhythmic-potential-questions-answers-scientific-guideline (дата обращения 28.06.2025).

7. Sagie A. An improved method for adjusting the QT interval for heart rate (the Framingham Heart Study) / A. Sagie, M.G. Larson, R.J. Goldberg, J.R. Bengston, D. Levy // Am J Cardiol. – 1992. – № 70 (7). – P. 797–801. doi: 10.1016/0002-9149(92)90562-d.

8. Kalatsei L. V., Snezhitskiy V. A. Methodological approaches to measuring and estimating the duration of QT interval of a standard electrocardiogram // Journal of Grodno State Medical University. – 2019. – Vol. 17, No. 1 – P. 99–105. doi: 10.25298/2221-8785-2019-17-1-99-105.

9. Komolyatova V.N., Shablinova T.S., Drozdov D.V., Karpova I.E., Kozlovskaya I.L., Makarov L.M. QT interval on resting electrocardiogram: its role and measurement methods. Journal of Arrhythmology. 2024;31(2):е15–е23. https://doi.org/10.35336/VA-1301.

10. Макаров Л.М. Холтеровское мониторирование. 4-е издание – М.: ИД «МЕДПРАКТИКА-М». – 2017. – 504 с.

11. Ardashev A.V., Snezhitskiy V.A., Kalatsei L.V. Non-invasive electrophysiological markers associated with long QT syndrome. // Cardiac Arrhythmias – 2022. – V2 (1). – Р. 13–22. doi.org/10.17816/cardar100224.


Review

For citations:


Teregulov Yu.E., Maksimova M.S., Mangusheva M.M., Atzel E.A., Salyamova L.F., Teregulov A.Yu., Milyutina I.I. QT interval duration at a stable heart rate of 60 bpm is a new assessment parameter for Holter monitoring. Medical alphabet. 2025;(31):14-18. (In Russ.) https://doi.org/10.33667/2078-5631-2025-31-14-18

Views: 434

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)