Abstract
The influence of left ventricular and aortic tissue properties on hemodynamics in patients with aortic regurgitation (AR) is unclear. In this study we aim: (1) to assess the capability of the CircAdapt model of the heart and circulation to simulate hemodynamics in AR; (2) to determine the interaction between aortic compliance and AR using CircAdapt. We simulated three degrees of AR by changing the aortic regurgitant orifice area (ROA) with normal and low aortic compliance. The higher the ROA is, the higher the systolic left ventricular and aortic pressures, the lower the diastolic aortic pressures and the higher the diastolic left ventricular pressures are. For low aortic compliance, those effects are exacerbated, but the regurgitant blood volume is decreased. These simulation data show the capability of CircAdapt to simulate hemodynamics in AR, and suggest that patient-to-patient variability in aortic compliance should be taken into account when assessing AR severity using imaging-based hemodynamic metrics.
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References
Enriquez-Sarano, M., Tajik, A.J.: Aortic regurgitation. N. Eng. J. Med 351, 1539–1546 (2004)
Bonow, R.O.: Aortic Regurgitation: Time to Reassess Timing of Valve Replacement? JACC Cardiovasc. Imaging 4, 223–230 (2011)
Nishimura, R.A., Otto, C.M., Bonow, R.O., Carabello, B.A., et al.: 2014 AHA/ACC guideline for the management of patients with valvular heart disease. JACC 63, e57–e185 (2014)
Detaint, D., Messika-Zeitoun, D., Maalouf, J., Tribouilloy, C., et al.: Quantitative echocardiographic determinants of clinical outcome in asymptomatic patients with aortic regurgitation. JACC Cardiovasc. Imaging 1, 1–11 (2008)
Griffin, B.P., Flachskampf, F.A., Siu, S., Weyman, A.E., et al.: The effects of regurgitant orifice size, chamber compliance, and systemic vascular resistance on aortic regurgitant velocity slope and pressure half-time. Am. Heart J. 122, 1049–1056 (1991)
Arts, T., Delhaas, T., Bovendeerd, P., Verbeek, X., Prinzen, F.W.: Adaptation to mechanical load determines shape and properties of heart and circulation: the CircAdapt model. Am. J. Physiol. Heart Circ. Physiol. 288, H1943–H1954 (2005)
Lumens, J., Delhaas, T., Kirn, B., Arts, T.: Three-wall segment (TriSeg) model describing mechanics and hemodynamics of ventricular interaction. Ann. Biomed. Eng. 37, 2234–2255 (2009)
Arts, T., Reesink, K., Kroon, W., Delhaas, T.: Simulation of adaptation of blood vessel geometry to flow and pressure: implications for arterio-venous impedance. Mech. Re. Commun. 42, 15–21 (2012)
Teague, S.M., Heinsimer, J.A., Anderson, J.L., Sublett, K., et al.: Quantification of aortic regurgitation utilizing continuous wave doppler ultrasound. JACC 8, 592–599 (1986)
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Palau-Caballero, G., Walmsley, J., Rudenick, P., Evangelista, A., Lumens, J., Delhaas, T. (2015). Hemodynamics in Aortic Regurgitation Simulated Using a Computational Cardiovascular System Model. In: van Assen, H., Bovendeerd, P., Delhaas, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2015. Lecture Notes in Computer Science(), vol 9126. Springer, Cham. https://doi.org/10.1007/978-3-319-20309-6_42
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DOI: https://doi.org/10.1007/978-3-319-20309-6_42
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