Global Electrical Heterogeneity: Mechanisms and Clinical Significance

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

    Abstract

    This review summarizes recent findings and discusses a clinical significance of a vectorcardiographic (VCG) Global electrical heterogeneity (GEH). GEH concept is based on the concept of the spatial ventricular gradient (SVG), which is a global measure of the dispersion of total recovery time. We quantify GEH by measuring five features of the SVG vector (SVG magnitude, direction (azimuth and elevation), a scalar value, and spatial QRS-T angle) on orthogonal XYZ ECG. In analysis of more than 20,000 adults we showed that GEH is independently associated with sudden cardiac death (SCD) after adjustment for demographics, cardiovascular disease (time-updated incident non-fatal cardiovascular events [coronary heart disease, heart failure, stroke, atrial fibrillation, use of beta-blockers], and known risk factors [cholesterol, triglycerides, physical activity index, smoking, diabetes, obesity, hypertension, antihypertensive medications, creatinine, alcohol intake, left ventricular ejection fraction, and time-updated ECG metrics (heart rate, QTc, QRS duration, ECG-left ventricular hypertrophy, bundle branch block or interventricular conduction delay)]. This finding suggests that GEH represents an independent electrophysiological substrate of SCD.

    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
    Sudden Cardiac Death
    Bundle-Branch Block
    Electromagnetic Phenomena
    Cholesterol
    Left Ventricular Hypertrophy
    Medical problems
    Stroke Volume
    Atrial Fibrillation
    Antihypertensive Agents
    Coronary Disease
    Creatinine
    Triglycerides
    Alcohols
    Cardiovascular Diseases
    Heart Failure
    Obesity
    Heart Rate
    Smoking
    Stroke

    ASJC Scopus subject areas

    • Computer Science(all)
    • Cardiology and Cardiovascular Medicine

    Cite this

    Tereshchenko, L. (2018). Global Electrical Heterogeneity: Mechanisms and Clinical Significance. In Computing in Cardiology Conference, CinC 2018 [8743667] (Computing in Cardiology; Vol. 2018-September). IEEE Computer Society. https://doi.org/10.22489/CinC.2018.165

    Global Electrical Heterogeneity : Mechanisms and Clinical Significance. / Tereshchenko, Larisa.

    Computing in Cardiology Conference, CinC 2018. IEEE Computer Society, 2018. 8743667 (Computing in Cardiology; Vol. 2018-September).

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

    Tereshchenko, L 2018, Global Electrical Heterogeneity: Mechanisms and Clinical Significance. in Computing in Cardiology Conference, CinC 2018., 8743667, 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.2018.165
    Tereshchenko L. Global Electrical Heterogeneity: Mechanisms and Clinical Significance. In Computing in Cardiology Conference, CinC 2018. IEEE Computer Society. 2018. 8743667. (Computing in Cardiology). https://doi.org/10.22489/CinC.2018.165
    Tereshchenko, Larisa. / Global Electrical Heterogeneity : Mechanisms and Clinical Significance. Computing in Cardiology Conference, CinC 2018. IEEE Computer Society, 2018. (Computing in Cardiology).
    @inproceedings{6300594de48a4f5ea8dbfa7b42848482,
    title = "Global Electrical Heterogeneity: Mechanisms and Clinical Significance",
    abstract = "This review summarizes recent findings and discusses a clinical significance of a vectorcardiographic (VCG) Global electrical heterogeneity (GEH). GEH concept is based on the concept of the spatial ventricular gradient (SVG), which is a global measure of the dispersion of total recovery time. We quantify GEH by measuring five features of the SVG vector (SVG magnitude, direction (azimuth and elevation), a scalar value, and spatial QRS-T angle) on orthogonal XYZ ECG. In analysis of more than 20,000 adults we showed that GEH is independently associated with sudden cardiac death (SCD) after adjustment for demographics, cardiovascular disease (time-updated incident non-fatal cardiovascular events [coronary heart disease, heart failure, stroke, atrial fibrillation, use of beta-blockers], and known risk factors [cholesterol, triglycerides, physical activity index, smoking, diabetes, obesity, hypertension, antihypertensive medications, creatinine, alcohol intake, left ventricular ejection fraction, and time-updated ECG metrics (heart rate, QTc, QRS duration, ECG-left ventricular hypertrophy, bundle branch block or interventricular conduction delay)]. This finding suggests that GEH represents an independent electrophysiological substrate of SCD.",
    author = "Larisa Tereshchenko",
    year = "2018",
    month = "9",
    day = "1",
    doi = "10.22489/CinC.2018.165",
    language = "English (US)",
    series = "Computing in Cardiology",
    publisher = "IEEE Computer Society",
    booktitle = "Computing in Cardiology Conference, CinC 2018",

    }

    TY - GEN

    T1 - Global Electrical Heterogeneity

    T2 - Mechanisms and Clinical Significance

    AU - Tereshchenko, Larisa

    PY - 2018/9/1

    Y1 - 2018/9/1

    N2 - This review summarizes recent findings and discusses a clinical significance of a vectorcardiographic (VCG) Global electrical heterogeneity (GEH). GEH concept is based on the concept of the spatial ventricular gradient (SVG), which is a global measure of the dispersion of total recovery time. We quantify GEH by measuring five features of the SVG vector (SVG magnitude, direction (azimuth and elevation), a scalar value, and spatial QRS-T angle) on orthogonal XYZ ECG. In analysis of more than 20,000 adults we showed that GEH is independently associated with sudden cardiac death (SCD) after adjustment for demographics, cardiovascular disease (time-updated incident non-fatal cardiovascular events [coronary heart disease, heart failure, stroke, atrial fibrillation, use of beta-blockers], and known risk factors [cholesterol, triglycerides, physical activity index, smoking, diabetes, obesity, hypertension, antihypertensive medications, creatinine, alcohol intake, left ventricular ejection fraction, and time-updated ECG metrics (heart rate, QTc, QRS duration, ECG-left ventricular hypertrophy, bundle branch block or interventricular conduction delay)]. This finding suggests that GEH represents an independent electrophysiological substrate of SCD.

    AB - This review summarizes recent findings and discusses a clinical significance of a vectorcardiographic (VCG) Global electrical heterogeneity (GEH). GEH concept is based on the concept of the spatial ventricular gradient (SVG), which is a global measure of the dispersion of total recovery time. We quantify GEH by measuring five features of the SVG vector (SVG magnitude, direction (azimuth and elevation), a scalar value, and spatial QRS-T angle) on orthogonal XYZ ECG. In analysis of more than 20,000 adults we showed that GEH is independently associated with sudden cardiac death (SCD) after adjustment for demographics, cardiovascular disease (time-updated incident non-fatal cardiovascular events [coronary heart disease, heart failure, stroke, atrial fibrillation, use of beta-blockers], and known risk factors [cholesterol, triglycerides, physical activity index, smoking, diabetes, obesity, hypertension, antihypertensive medications, creatinine, alcohol intake, left ventricular ejection fraction, and time-updated ECG metrics (heart rate, QTc, QRS duration, ECG-left ventricular hypertrophy, bundle branch block or interventricular conduction delay)]. This finding suggests that GEH represents an independent electrophysiological substrate of SCD.

    UR - http://www.scopus.com/inward/record.url?scp=85068775244&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85068775244&partnerID=8YFLogxK

    U2 - 10.22489/CinC.2018.165

    DO - 10.22489/CinC.2018.165

    M3 - Conference contribution

    AN - SCOPUS:85068775244

    T3 - Computing in Cardiology

    BT - Computing in Cardiology Conference, CinC 2018

    PB - IEEE Computer Society

    ER -