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Vectorcardiography-derived index allows a robust quantification of ventricular electrical synchrony

Fernández, Juan Manuel Francisco et al · Nature Research · 2022

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Alteration of muscle activation sequence is a key mechanism in heart failure with reduced ejection fraction. Successful cardiac resynchronization therapy (CRT), which has become standard therapy in these patients, is limited by the lack of precise dyssynchrony quantification. We implemented a computational pipeline that allows assessment of ventricular dyssynchrony by vectorcardiogram reconstruction from the patient’s electrocardiogram. We defined a ventricular dyssynchrony index as the distance between the voltage and speed time integrals of an individual observation and the linear fit of these variables obtained from a healthy population. The pipeline was tested in a 1914-patient population. The dyssynchrony index showed minimum values in heathy controls and maximum values in patients with left bundle branch block (LBBB) or with a pacemaker (PM). We established a critical dyssynchrony index value that discriminates electrical dyssynchronous patterns (LBBB and PM) from ventricular synchrony. In 10 patients with PM or CRT devices, dyssynchrony indexes above the critical value were associated with high time to peak strain standard deviation, an echocardiographic measure of mechanical dyssynchrony. Our index proves to be a promising tool to evaluate ventricular activation dyssynchrony, potentially enhancing the selection of candidates for CRT, device configuration during implantation, and post-implant optimization. Fil: Fernández, Juan Manuel Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina Fil: Spagnuolo, Damián N.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina

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APA 7

Fernández, J. M. F. E. A. (2022). Vectorcardiography-derived index allows a robust quantification of ventricular electrical synchrony. http://hdl.handle.net/11336/212648

MLA

Fernández, Juan Manuel Francisco et al. "Vectorcardiography-derived index allows a robust quantification of ventricular electrical synchrony." 2022. http://hdl.handle.net/11336/212648.

Chicago

Fernández, Juan Manuel Francisco et al. 2022. "Vectorcardiography-derived index allows a robust quantification of ventricular electrical synchrony.". http://hdl.handle.net/11336/212648.

Harvard

Fernández, J. M. F. E. A. 2022, Vectorcardiography-derived index allows a robust quantification of ventricular electrical synchrony, Nature Research, available at: http://hdl.handle.net/11336/212648 [Accessed 8 Aug. 2026].

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Title
Vectorcardiography-derived index allows a robust quantification of ventricular electrical synchrony
Author / contributors
Fernández, Juan Manuel Francisco et al
Publisher
Nature Research
Publication year
2022
ISSN
2045-2322
ISSN
2045-2322
Language
English

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