Correlation Of Left Ventricular Ejection Fraction And Spatial QRS-T Angle In Old Myocardial Infarct Patient
Abstract
Objective: Spatial QRS-T angle (the angle between the QRS and T vectors) is a strong independent predictor of cardiovascular death. Spatial QRS-T angle calculations can be obtained from the ECG 12 lead with Kors visual transform applications closest to Frank lead system. Half of patients with coronary artery disease (CAD) died from sudden cardiac death (SCD) with Left Ventricular Ejection Fraction (LVEF) as a predictor. The aim of this study was to correlate spatial QRS-T with LVEF in patients with old myocardial infarction (OMI).
Methods: This is a cross-sectional study in patients with OMI that have not undergone revascularization and have achieved medical therapy. 12-lead electrocardiography (ECG) and echocardiography were done simultaneously. Spatial QRS-T angle was measured by Kors visual transform applications. Statistical analysis was performed using Pearson correlation and multivariate analysis with linear regression.
Results: 46 patients meet the inclusion criteria. Baseline characteristics: mean age 58 ± 8 years, 89% male, mean spatial QRS-T was 108.72 ± 43° with mean LVEF 39.39 ± 10%. The spatial QRS-T angle and LVEF was strong negative correlation (r=-0.66, p<0.01) after adjusted with left ventricular mass index (LVMI) correlation between spatial QRS-T angle and LVEF decreasing (r=-0.57, p<0.01). The Spatial QRS-T angle and LVEF of patients with OMI is negative correlation.
Conclusion: The spatial QRS-T angle and LVEF of patients with OMI had negative correlation. Spatial QRS-T angle may be an easier index for assessing cardiac dysfunction in patients with OMI.
Downloads
References
2. Aro AL, Huikuri HV, Tikkanen JT, Junttila MJ, Rissanen HA, Reunanen A, Anttonen O. QRS-T angle as a predictor of sudden cardiac death in a middle-aged general population. Europace. 2012 Jun 1;14(6):872-6.
3. Kardys I, Kors JA, van der Meer IM, Hofman A, van der Kuip DA, Witteman JC. Spatial QRS-T angle predicts cardiac death in a general population. European heart journal. 2003 Jul 1;24(14):1357-64.
4. Oehler A, Feldman T, Henrikson CA, Tereshchenko LG. QRS‐T angle: a review. Annals of Noninvasive Electrocardiology. 2014 Nov;19(6):534-42.
5. Cortez D, Sharma N, Devers C, Devers E, Schlegel TT. Visual transform applications for estimating the spatial QRS–T angle from the conventional 12-lead ECG: Kors is still most Frank. Journal of electrocardiology. 2014 Jan 1;47(1):12-9.
6. Cortez DL, Schlegel TT. When deriving the spatial QRS-T angle from the 12-lead electrocardiogram, which transform is more Frank: regression or inverse Dower?. Journal of Electrocardiology. 2010 Jul 1;43(4):302-9.
7. ter Haar CC, Maan AC, Warren SG, Ringborn M, Horáček BM, Schalij MJ, Swenne CA. Difference vectors to describe dynamics of the ST segment and the ventricular gradient in acute ischemia. Journal of electrocardiology. 2013 Jul 1;46(4):302-11.
8. Li YH, Ren XJ, Han ZH, Wang YL, Wang Y, Zhang JR, Chen F. Value of the frontal planar QRS-T angle on cardiac dysfunction in patients with old myocardial infarction. International journal of clinical and experimental medicine. 2013;6(8):688.
9. Brown RA, Schlegel TT. Diagnostic utility of the spatial versus individual planar QRS-T angles in cardiac disease detection. Journal of Electrocardiology. 2011 Jul 1;44(4):404-9.
10. Zhang X, Zhu Q, Zhu L, Jiang H, Xie J, Huang W, Xu B. Spatial/frontal QRS-T angle predicts all-cause mortality and cardiac mortality: a meta-analysis. PLoS One. 2015 Aug 18;10(8):e0136174.
11. Wellens HJ, Schwartz PJ, Lindemans FW, Buxton AE, Goldberger JJ, Hohnloser SH, Huikuri HV, Kääb S, La Rovere MT, Malik M, Myerburg RJ. Risk stratification for sudden cardiac death: current status and challenges for the future. European heart journal. 2014 Jul 1;35(25):1642-51.
12. Zapolski T, Jaroszyński A, Drelich-Zbroja A, Wysocka A, Furmaga J, Wysokiński A, Książek A, Szczerbo-Trojanowska M, Rudzki S. Aortic stiffness, left ventricle hypertrophy, and homogeneity of ventricle repolarization in adult dialyzed patients. The Scientific World Journal. 2012 Jan 1;2012.
13. Voulgari C, Moyssakis I, Perrea D, Kyriaki D, Katsilambros N, Tentolouris N. The association between the spatial QRS‐T angle with cardiac autonomic neuropathy in subjects with Type 2 diabetes mellitus. Diabetic medicine. 2010 Dec;27(12):1420-9.
14. Akar FG, Rosenbaum DS. Transmural electrophysiological heterogeneities underlying arrhythmogenesis in heart failure. Circulation research. 2003 Oct 3;93(7):638-45.
15. Borleffs CJ, Scherptong RW, Man SC, van Welsenes GH, Bax JJ, van Erven L, Swenne CA, Schalij MJ. Predicting ventricular arrhythmias in patients with ischemic heart disease: clinical application of the ECG-derived QRS-T angle. Circulation: Arrhythmia and Electrophysiology. 2009 Oct 1;2(5):548-54.
PDF downloads: 1992
Copyright (c) 2021 Indonesian Journal of Cardiology

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).








