Purpose: To show some preliminary results about the possibility to exploit a cardiovascular mathematical model - made patient-specific by noninvasive data routinely measured during ordinary clinical examinations - in order to obtain sufficiently accurate central blood pressure (BP) estimates. Methods: A closed-loop multiscale (0D and 1D) model of the cardiovascular system is made patient-specific by using as model inputs the individual mean heart rate and left-ventricular contraction time, weight, height, age, sex and mean/pulse brachial BPs. The resulting framework is used to determine central systolic, diastolic, mean and pulse pressures, which are compared with the beat-averaged invasive pressures of 12 patients aged 72±6.61 years. Results: Errors in central systolic, diastolic, mean and pulse pressures by the model are 4.26±2.81 mmHg, 5.86±4.38 mmHg, 4.98±3.95 mmHg and 3.51±2.38 mmHg, respectively. Conclusion: The proposed modeling approach shows a good patient-specific response and appears to be potentially useful in clinical practice. However, this approach needs to be evaluated in a larger cohort of patients and could possibly be improved through more accurate oscillometric BP measurement methods.
@article{arxiv.2101.08752,
title = {Testing a patient-specific in-silico model to noninvasively estimate central blood pressure},
author = {Caterina Gallo and Joakim Olbers and Luca Ridolfi and Stefania Scarsoglio and Nils Witt},
journal= {arXiv preprint arXiv:2101.08752},
year = {2021}
}