New possibilities of electrocardiography: evaluation of the vectorcardiographic QRS loop planarity in patients with myocardial infarction
https://doi.org/10.38109/2225-1685-2022-4-90-97
Abstract
The aim of the work is to evaluate the planarity of the QRS loop and its relationship with systolic dysfunction of the left ventricle in patients in the subacute period of myocardial infarction (MI).
Materials and methods. The ECG of 265 patients with a diagnosis of acute myocardial infarction were analyzed. The control group consisted of 55 healthy individuals. The planarity index was calculated as the ratio of the area of the QRS loop projection onto the plane (the polar vector of the QRS loop) and the true area of the QRS loop in space using a synthesized vectorcardiogram.
Results. In patients with MI, the planarity index was significantly lower than in healthy individuals: 0,87 [0,71; 0,94] and 0,96 [0,93; 0,97], respectively, p < 0,0001. Weak but significant correlations between the planarity index and the left ventricular ejection fraction (LVEF, r = 0,41, p < 0,001) and with the number of affected segments of the left ventricle according to echocardiography (r = −0,43, p < 0,001) were found. In patients with MI, the planarity index was lower in the presence of pulmonary edema in the acute period of MI (0,68 [0,54; 0,86]; without pulmonary edema 0,88 [0,76; 0,94], p < 0,001), and in the presence of a history of chronic heart failure (0,79 [0,61; 0,88]; without chronic heart failure 0,88 [0,75; 0,94], p = 0,007). In patients with MI of both anterior and inferior localization, the planarity index was significantly lower with LV EF < 50% compared with LV EF ≥ 50%. The planarity index was significantly lower in anterior MI than in inferior MI. Conclusion. In patients in the subacute period of MI, there is a decrease in the QRS loop planarity index, which correlates with the volume of myocardial damage, a decrease in LV EF, and the presence of acute and chronic heart failure. The QRS loop planarity index was significantly lower in anterior MI than in inferior MI.
About the Authors
E. V. BlinovaRussian Federation
Elena V. Blinova, Cand. of Sci. (Med.), Research Officer, ECG Laboratory
SPIN: 3306-6128
3rd Cherepkovskaya street, 15a, Moscow, 121552
T. A. Sahnova
Russian Federation
Tamara A. Sakhnova, Cand. of Sci. (Med.), Senior Scientist, ECG Laboratory
SPIN: 4206-2550
3rd Cherepkovskaya street, 15a, Moscow, 121552
I. N. Merkulova
Russian Federation
Irina N. Merkulova, Cand. of Sci. (Med.), Senior Research Scientist, Department of Urgent Cardiology
SPIN-код: 8864-5161
3rd Cherepkovskaya street, 15a, Moscow, 121552
E. A.-I. Aidu
Russian Federation
Eduard A.-I. Aidu, Cand. of Sci. (Eng.), Senior Scientist, Laboratory of Information Transmission and Control Theory
B. Karetny, 19, Moscow, 127051
V. G. Trunov
Russian Federation
Vladimir G. Trunov, Cand. of Sci. (Eng.), Senior Research Scientist, Laboratory of Information Transmission and Control Theory
SPIN: 6383-6834
B. Karetny, 19, Moscow, 127051
R. M. Shahnovich
Russian Federation
Roman M. Shahnovich, Dr. of Sci. (Med.), Senior Research Scientist, Department of Urgent Cardiology
SPIN: 9864-1107
3rd Cherepkovskaya street, 15a, Moscow, 121552
T. S. Sukhinina
Russian Federation
Tat’yana S. Sukhinina, Cand. of Sci. (Med.), Senior Scientist, Department of Urgent Cardiology
SPIN: 6629-7608
3rd Cherepkovskaya street, 15a, Moscow, 121552
N. S. Zhukova
Russian Federation
Natalia S. Zhukova, Cand. of Sci. (Med.), Senior Scientist, Department of Urgent Cardiology
SPIN: 9033-7228
3rd Cherepkovskaya street, 15a, Moscow, 121552
N. A. Barysheva
Russian Federation
Natalia A. Barysheva, Cand. of Sci. (Med.), Research Assistant, Department of Urgent Cardiology
SPIN: 5450-6524
3rd Cherepkovskaya street, 15a, Moscow, 121552
I. I. Staroverov
Russian Federation
Igor I. Staroverov, Dr. of Sci. (Med.), Chief Researcher, Department of Urgent Cardiology
3rd Cherepkovskaya street, 15a, Moscow, 121552
References
1. Attia ZI, Kapa S, Yao X, Lopez-Jimenez F, Mohan TL, Pellikka PA, Carter RE, Shah ND, Friedman PA, Noseworthy PA. Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction. J Cardiovasc Electrophysiol. 2019;30(5):668-674. https://doi.org/10.1111/jce.13889
2. Jentzer JC, Kashou AH, Attia ZI, Lopez-Jimenez F, Kapa S, Friedman PA, Noseworthy PA. Left ventricular systolic dysfunction identification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients. Int J Cardiol. 2021;326:114-123. https://doi.org/10.1016/j.ijcard.2020.10.074
3. Schlegel TT, Kulecz WB, Feiveson AH, Greco EC, DePalma JL, Starc V, Vrtovec B, Rahman MA, Bungo MW, Hayat MJ, Bauch T, Delgado R, Warren SG, Núñez-Medina T, Medina R, Jugo D, Arheden H, Pahlm O. Accuracy of advanced versus strictly conventional 12-lead ECG for detection and screening of coronary artery disease, left ventricular hypertrophy and left ventricular systolic dysfunction. BMC Cardiovasc Disord. 2010;10:28. https://doi.org/10.1186/1471-2261-10-28
4. Choudhuri S, Ghosal T, Goswami DP, Sengupta A. Planarity of the spatial QRS loop of vectorcardiogram is a crucial diagnostic and prognostic parameter in acute myocardial infarction. Med Hypotheses. 2019;130:109251. https://doi.org/10.1016/j.mehy.2019.109251
5. Tereshchenko LG, Waks JW, Kabir M, Ghafoori E, Shvilkin A, Josephson ME. Analysis of speed, curvature, planarity and frequency characteristics of heart vector movement to evaluate the electrophysiological substrate associated with ventricular tachycardia. Comput Biol Med. 2015;65:150-160. https://doi.org/10.1016/j.compbiomed.2015.03.001
6. Ray D, Hazra S, Goswami DP, Macfarlane PW, Sengupta A. An evaluation of planarity of the spatial QRS loop by three dimensional vectorcardiography: Its emergence and loss. J Electrocardiol. 2017;50(5):652-660. https://doi.org/10.1016/j.jelectrocard.2017.03.016
7. Yamauchi K. Computer analysis of vectorcardiograms in myocardial infarction with special reference to polar vector and planarity of the QRS and T loops. Jpn Heart J. 1979;20(5):587-601. https://doi.org/10.1536/ihj.20.587
8. Arnaud P, Morlet D, Rubel P. Planarity of the spatial QRS loop. Comparative analysis in normals, infarcts, ventricular hypertrophies, and intraventricular conduction defects. J Electrocardiol. 1989;22(2):143-152. https://doi.org/10.1016/0022-0736(89)90084-8
9. Horinaka S, Yamamoto H, Yagi S. Spatial orientation of the vectorcardiogram in patients with myocardial infarction. Jpn Circ J. 1993 Feb;57(2):109-16. https://doi.org/10.1253/jcj.57.109
10. Güngör B, Özcan KS, Karataş MB, Şahin İ, Öztürk R, Bolca O. Prognostic Value of QRS Fragmentation in Patients with Acute Myocardial Infarction: A Meta-Analysis. Ann Noninvasive Electrocardiol. 2016;21(6):604-612. https://doi.org/10.1111/anec.12357
11. Luo G, Li Q, Duan J, Peng Y, Zhang Z. The Predictive Value of Fragmented QRS for Cardiovascular Events in Acute Myocardial Infarction: A Systematic Review and Meta-Analysis. Front Physiol. 2020;11:1027. https://doi.org/10.3389/fphys.2020.01027
12. Sedaghat G, Ghafoori E, Waks JW, Kabir MM, Shvilkin A, Josephson ME, Tereshchenko LG. Quantitative Assessment of Vectorcardiographic Loop Morphology. J Electrocardiol. 2016;49(2):154-163. https://doi.org/10.1016/j.jelectrocard.2015.12.014
Review
For citations:
Blinova E.V., Sahnova T.A., Merkulova I.N., Aidu E.A., Trunov V.G., Shahnovich R.M., Sukhinina T.S., Zhukova N.S., Barysheva N.A., Staroverov I.I. New possibilities of electrocardiography: evaluation of the vectorcardiographic QRS loop planarity in patients with myocardial infarction. Eurasian heart journal. 2022;(4):90-97. (In Russ.) https://doi.org/10.38109/2225-1685-2022-4-90-97