The Reproducibility of Global Electrical Heterogeneity ECG Measurements

Erick A. Perez-Aldav, Christopher Hamilton, Annabel Li-Pershing, Jose M. Monroy-Trujillo, Michelle Estrella, Stephen M. Sozio, Bernard Jaar, Rulan Parekh, Larisa Tereshchenko

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish (US)
    Title of host publicationComputing in Cardiology Conference, CinC 2018
    PublisherIEEE Computer Society
    ISBN (Electronic)9781728109589
    DOIs
    StatePublished - Sep 1 2018
    Event45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands
    Duration: Sep 23 2018Sep 26 2018

    Publication series

    NameComputing in Cardiology
    Volume2018-September
    ISSN (Print)2325-8861
    ISSN (Electronic)2325-887X

    Conference

    Conference45th Computing in Cardiology Conference, CinC 2018
    CountryNetherlands
    CityMaastricht
    Period9/23/189/26/18

    Fingerprint

    Electrocardiography
    African Americans
    Renal Dialysis
    Cohort Studies
    Prospective Studies

    ASJC Scopus subject areas

    • Computer Science(all)
    • Cardiology and Cardiovascular Medicine

    Cite this

    Perez-Aldav, E. A., Hamilton, C., Li-Pershing, A., Monroy-Trujillo, J. M., Estrella, M., Sozio, S. M., ... Tereshchenko, L. (2018). The Reproducibility of Global Electrical Heterogeneity ECG Measurements. In Computing in Cardiology Conference, CinC 2018 [8744039] (Computing in Cardiology; Vol. 2018-September). IEEE Computer Society. https://doi.org/10.22489/CinC.2018.162

    The Reproducibility of Global Electrical Heterogeneity ECG Measurements. / Perez-Aldav, Erick A.; Hamilton, Christopher; Li-Pershing, Annabel; Monroy-Trujillo, Jose M.; Estrella, Michelle; Sozio, Stephen M.; Jaar, Bernard; Parekh, Rulan; Tereshchenko, Larisa.

    Computing in Cardiology Conference, CinC 2018. IEEE Computer Society, 2018. 8744039 (Computing in Cardiology; Vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Perez-Aldav, EA, Hamilton, C, Li-Pershing, A, Monroy-Trujillo, JM, Estrella, M, Sozio, SM, Jaar, B, Parekh, R & Tereshchenko, L 2018, The Reproducibility of Global Electrical Heterogeneity ECG Measurements. in Computing in Cardiology Conference, CinC 2018., 8744039, Computing in Cardiology, vol. 2018-September, IEEE Computer Society, 45th Computing in Cardiology Conference, CinC 2018, Maastricht, Netherlands, 9/23/18. https://doi.org/10.22489/CinC.2018.162
    Perez-Aldav EA, Hamilton C, Li-Pershing A, Monroy-Trujillo JM, Estrella M, Sozio SM et al. The Reproducibility of Global Electrical Heterogeneity ECG Measurements. In Computing in Cardiology Conference, CinC 2018. IEEE Computer Society. 2018. 8744039. (Computing in Cardiology). https://doi.org/10.22489/CinC.2018.162
    Perez-Aldav, Erick A. ; Hamilton, Christopher ; Li-Pershing, Annabel ; Monroy-Trujillo, Jose M. ; Estrella, Michelle ; Sozio, Stephen M. ; Jaar, Bernard ; Parekh, Rulan ; Tereshchenko, Larisa. / The Reproducibility of Global Electrical Heterogeneity ECG Measurements. Computing in Cardiology Conference, CinC 2018. IEEE Computer Society, 2018. (Computing in Cardiology).
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    abstract = "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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    AU - Hamilton, Christopher

    AU - Li-Pershing, Annabel

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    AU - Estrella, Michelle

    AU - Sozio, Stephen M.

    AU - Jaar, Bernard

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    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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