TY - GEN
T1 - The Reproducibility of Global Electrical Heterogeneity ECG Measurements
AU - Perez-Aldav, Erick A.
AU - Hamilton, Christopher
AU - Li-Pershing, Annabel
AU - Monroy-Trujillo, Jose M.
AU - Estrella, Michelle
AU - Sozio, Stephen M.
AU - Jaar, Bernard
AU - Parekh, Rulan
AU - Tereshchenko, Larisa
N1 - Publisher Copyright:
© 2018 Creative Commons Attribution.
PY - 2018/9
Y1 - 2018/9
N2 - Background: Global electrical heterogeneity (GEH) is a useful predictor of adverse clinical outcomes. However, reproducibility of GEH measurements on 10-second routine clinical ECG is unknown. Methods: Data of the prospective cohort study of incident hemodialysis patients (n=253; mean age 54.6± 13.5y; 56% male; 79% African American) were analysed. Two random 10-second segments of 5-minute ECG recording in sinus rhythm were compared. GEH was measured as spatial QRS-T angle, spatial ventricular gradient (SVG) magnitude and direction (azimuth and elevation), and a scalar value of SVG measured by (1) sum absolute QRST integral (SAI QRST), and (2) QT integral on vector magnitude signal (iVMQT). Bland-Altman analysis was used to calculate agreement. Results: For all studied vectorcardiographic metrics, agreement was substantial (Lin's concordance coefficient >0.98), and precision was perfect (>99.99%). 95% limits of agreement were ± 14 for spatial QRS-T angle, ± 13° for SVG azimuth ± 4° for SVG elevation, ± 14 mVms for SVG magnitude, and ± 17 mVms for SAI QRST. SAI QRST and iVMQT were in substantial agreement with each other. Conclusion: Reproducibility of a 10-second automated GEH ECG measurements was substantial, and precision was perfect.
AB - Background: Global electrical heterogeneity (GEH) is a useful predictor of adverse clinical outcomes. However, reproducibility of GEH measurements on 10-second routine clinical ECG is unknown. Methods: Data of the prospective cohort study of incident hemodialysis patients (n=253; mean age 54.6± 13.5y; 56% male; 79% African American) were analysed. Two random 10-second segments of 5-minute ECG recording in sinus rhythm were compared. GEH was measured as spatial QRS-T angle, spatial ventricular gradient (SVG) magnitude and direction (azimuth and elevation), and a scalar value of SVG measured by (1) sum absolute QRST integral (SAI QRST), and (2) QT integral on vector magnitude signal (iVMQT). Bland-Altman analysis was used to calculate agreement. Results: For all studied vectorcardiographic metrics, agreement was substantial (Lin's concordance coefficient >0.98), and precision was perfect (>99.99%). 95% limits of agreement were ± 14 for spatial QRS-T angle, ± 13° for SVG azimuth ± 4° for SVG elevation, ± 14 mVms for SVG magnitude, and ± 17 mVms for SAI QRST. SAI QRST and iVMQT were in substantial agreement with each other. Conclusion: Reproducibility of a 10-second automated GEH ECG measurements was substantial, and precision was perfect.
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U2 - 10.22489/CinC.2018.162
DO - 10.22489/CinC.2018.162
M3 - Conference contribution
AN - SCOPUS:85068780938
T3 - Computing in Cardiology
BT - Computing in Cardiology Conference, CinC 2018
PB - IEEE Computer Society
T2 - 45th Computing in Cardiology Conference, CinC 2018
Y2 - 23 September 2018 through 26 September 2018
ER -