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. 2021 Nov-Dec:69:96-104.
doi: 10.1016/j.jelectrocard.2021.09.014. Epub 2021 Oct 2.

Reproducibility of global electrical heterogeneity measurements on 12-lead ECG: The Multi-Ethnic Study of Atherosclerosis

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Reproducibility of global electrical heterogeneity measurements on 12-lead ECG: The Multi-Ethnic Study of Atherosclerosis

Kazi T Haq et al. J Electrocardiol. 2021 Nov-Dec.

Abstract

Objective: Vectorcardiographic (VCG) global electrical heterogeneity (GEH) metrics showed clinical usefulness. We aimed to assess the reproducibility of GEH metrics.

Methods: GEH was measured on two 10-s 12‑lead ECGs recorded on the same day in 4316 participants of the Multi-Ethnic Study of Atherosclerosis (age 69.4 ± 9.4 y; 2317(54%) female, 1728 (40%) white, 1138(26%) African-American, 519(12%) Asian-American, 931(22%) Hispanic-American). GEH was measured on a median beat, comprised of the normal sinus (N), atrial fibrillation/flutter (S), and ventricular-paced (VP) beats. Spatial ventricular gradient's (SVG's) scalar was measured as sum absolute QRST integral (SAIQRST) and vector magnitude QT integral (VMQTi).

Results: Two N ECGs with heart rate (HR) bias of -0.64 (95% limits of agreement [LOA] -5.68 to 5.21) showed spatial area QRS-T angle (aQRST) bias of -0.12 (95%LOA -14.8 to 14.5). Two S ECGs with HR bias of 0.20 (95%LOA -15.8 to 16.2) showed aQRST bias of 1.37 (95%LOA -33.2 to 35.9). Two VP ECGs with HR bias of 0.25 (95%LOA -3.0 to 3.5) showed aQRST bias of -1.03 (95%LOA -11.9 to 9.9). After excluding premature atrial or ventricular beat and two additional beats (before and after extrasystole), the number of cardiac beats included in a median beat did not affect the GEH reproducibility. Mean-centered log-transformed values of SAIQRST and VMQTi demonstrated perfect agreement (Bias 0; 95%LOA -0.092 to 0.092).

Conclusion: GEH measurements on N, S, and VP median beats are reproducible. SVG's scalar can be measured as either SAIQRST or VMQTi.

Significance: Satisfactory reproducibility of GEH metrics supports their implementation.

Keywords: Global electrical heterogeneity; QRS-T angle; Reproducibility; Spatial ventricular gradient; Vectorcardiogram.

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Conflict of interest statement

Declaration of Competing Interest None.

Figures

Figure 1.
Figure 1.
GEH measurements. (A) Spatial ventricular gradient (SVG) vector (blue) obtained as a vector sum of QRS (green) and T vector (red). Spatial QRS-T angle is the 3D angle between QRS and T vector. (B) Orientation of the angles (azimuth and elevation) in 3D space. (C) Sum absolute QRST integral (SAIQRST). (D) Vector magnitude QT integral.
Figure 2.
Figure 2.
Study flowchart.
Figure 3.
Figure 3.
Bland-Altman plots demonstrating agreement of spatial area QRS-T angle on two ECGs. Median beats were constructed in (A) normal sinus (N) rhythm, (B) atrial fibrillation/flutter, (C) ventricular pacing, including (D) ≤6 N beats, (E) 7–9 N beats, (F) ≥10 N beats. The scatterplot presents paired differences (Y-axis), plotted against pair-wise means (X-axis). The reference line indicates the perfect average agreement, Y = 0. The central green line indicates the mean difference between the two measurements, or mean bias. Upper and lower lines represent the mean ± 2 standard deviations (SD), or 95% limits of agreement.
Figure 4.
Figure 4.
(A). Bland-Altman plot demonstrating agreement of mean-centered log-transformed SAIQRST and VMQTi. Definitions given in Figure 3 legend. (B). Concordance scatterplot of the mean-centered log-transformed SAIQRST and VMQTi. The reduced major axis of the data (green) goes through the intersection of the means and has the slope given by the sign of Pearson’s r and the ratio of the standard deviations. The reference red line shows the perfect concordance, Y = X.

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