Abstract
Hypertrophic cardiomyopathy (HCM) can only be diagnosed when it is in an advanced stage, through the use of imaging methods. However, these methods are only available in third level health institutions. In addition, no specific markers have been determined for its evolutionary diagnosis, as would an electrocardiographic test. In this work, we present several biomarkers that aim to predict the potential development of the pathology, computed from the study of cardiac vector dynamics, specifically the linear and angular velocities. The study includes 161 patients with more than one-year follow-up until their HCM diagnosis and 91 control subjects. Significant decreases in angular velocity are observed during the early cardiac repolarization phase and increases in linear velocity in ventricular depolarization. These biomarkers could complement the electrocardiographic study in cardiological patients, and strongly contribute of diagnosis of the pathology at an early stage.
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References
Bai, Y., Zheng, J., Lu, F., et al.: Prevalence, incidence and mortality of hypertrophic cardiomyopathy based on a population cohort of 21.9 million in China. Sci. Rep. 12(1), 18799 (2022). https://doi.org/10.1038/s41598-022-20042-9
Barsky, B.: Rethinking Quaternions. Theory and Computation (2010)
Cruces, P.D., Arini, P.D.: A novel normalization of vectorcardiogram to enhance markers of differences between hERG and multichannel drugs (2022)
Horacio, C.J.: Consenso de Miocardipatía Hipertrófica. Revista Argentina de Cardiología 77, 1–28 (2009). https://doi.org/10.1007/s10554-017-1161-8. https://www.redalyc.org/articulo.oa?id=305327028015
Isla, A.D., Jiménez, P.M., et al.: Valor diagnóstico del índice de Sokolow-Lyon en la hipertrofia ventricular izquierda. CorSalud 13(2), 135–141 (2021). https://www.medigraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=106763
Kors, J.A., Herpen, G.V., Bemmel, J.H.V.: Recostruction of the Frank vectorcardiogram from standard electrocardiographic leads: diagnostic of different methods. Eur. Heart J. 11, 1083–1092 (1990)
Llamedo, M.: ECGkit, a Matlab toolbox for cardiovascular signal processing. https://ecg-kit.readthedocs.io/en/master/
Maron, B.J.: Clinical course and management of hypertrofic cardiomyopathy. N. Engl. J. Med. 379(7), 655–668 (2018). https://doi.org/10.1056/NEJMra1710575
Viliani, D., Pozo, E.: Helical distribution of hypertrophy in patients with hypertrophic cardiomyopathy: prevalence and clinical implications. Int. J. Cardiovasc. Imaging 33, 1771–1780 (2017). https://doi.org/10.1007/s10554-017-1161-8
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Gómez, M. et al. (2024). Predictive Diagnosis of Hypertrophic Cardiomyopathy Using Novel Dynamic Vectorcardiogram Markers. In: Ballina, F.E., Armentano, R., Acevedo, R.C., Meschino, G.J. (eds) Advances in Bioengineering and Clinical Engineering. SABI 2023. IFMBE Proceedings, vol 114. Springer, Cham. https://doi.org/10.1007/978-3-031-61973-1_6
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DOI: https://doi.org/10.1007/978-3-031-61973-1_6
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