Terminated Swedish Study Explored Pulse Wave Velocity and Machine Learning to Predict Coronary Artery Disease — Lessons for Australian Clinicians
247 Health News Editorial
·19 Apr 2026
·4 min read
·clinical-trialsThe terminated Heart Waves Study explored combining pulse wave velocity measurements with machine learning to improve coronary artery disease prediction in patients undergoing coronary CT angiography. Despite early termination, the research approach offers valuable insights for Australian clinicians managing suspected coronary disease.
Originally reported by ClinicalTrials.gov
References
- 1.Ben-Shlomo, Y., Spears, M., Boustred, C., May, M., Anderson, S. G., Benjamin, E. J., Boutouyrie, P., Cameron, J., Chen, C. H., Cruickshank, J. K., Hwang, S. J., Lakatta, E. G., Laurent, S., Maldonado, J., Mitchell, G. F., Najjar, S. S., Newman, A. B., Ohishi, M., Pannier, B., ... McEniery, C. M. (2014). Aortic pulse wave velocity improves cardiovascular event prediction. Journal of the American College of Cardiology, 63(7), 636-646. https://doi.org/10.1016/j.jacc.2013.09.063
- 2.Cury, R. C., Abbara, S., Achenbach, S., Agatston, A., Berman, D. S., Budoff, M. J., Dill, K. E., Jacobs, J. E., Maroules, C. D., Rubin, G. D., Rybicki, F. J., Schoepf, U. J., Shaw, L. J., Stillman, A. E., White, C. S., Woodard, P. K., & Leipsic, J. A. (2016). CAD-RADS: Coronary Artery Disease - Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography. Journal of Cardiovascular Computed Tomography, 10(4), 269-281. https://doi.org/10.1016/j.jcct.2016.04.005
- 3.Danderyd Hospital. (2024). Pulse Wave Velocity and Machine Learning for Prediction of Coronary Artery Disease by Coronary CT Angiography - The Heart Waves Study. ClinicalTrials.gov. NCT06734247. https://clinicaltrials.gov/study/NCT06734247
- 4.Knuuti, J., Wijns, W., Saraste, A., Capodanno, D., Barbato, E., Funck-Brentano, C., Prescott, E., Storey, R. F., Deaton, C., Cuisset, T., Agewall, S., Dickstein, K., Edvardsen, T., Escaned, J., Gersh, B. J., Svitil, P., Gilard, M., Hasdai, D., Hatala, R., ... ESC Scientific Document Group. (2020). 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. European Heart Journal, 41(3), 407-477. https://doi.org/10.1093/eurheartj/ehz425
- 5.Roth, G. A., Mensah, G. A., Johnson, C. O., Addolorato, G., Ammirati, E., Baddour, L. M., Barengo, N. C., Beaton, A. Z., Benjamin, E. J., Benziger, C. P., Bonny, A., Brauer, M., Brodmann, M., Cahill, T. J., Carapetis, J., Catapano, A. L., Chugh, S. S., Cooper, L. T., Coresh, J., ... GBD-NHLBI-JACC Global Burden of Cardiovascular Diseases Writing Group. (2020). Global burden of cardiovascular diseases and risk factors, 1990-2019. Journal of the American College of Cardiology, 76(25), 2982-3021. https://doi.org/10.1016/j.jacc.2020.11.010
- 6.Vlachopoulos, C., Aznaouridis, K., & Stefanadis, C. (2010). Prediction of cardiovascular events and all-cause mortality with arterial stiffness: a systematic review and meta-analysis. Journal of the American College of Cardiology, 55(13), 1318-1327. https://doi.org/10.1016/j.jacc.2009.10.061
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