Testing a patient-specific in-silico model to noninvasively estimate central blood pressure

TL;DR

This study demonstrates that a patient-specific cardiovascular model, using noninvasive clinical data, can accurately estimate central blood pressure, offering a promising noninvasive tool for clinical assessment.

Contribution

The paper introduces a novel patient-specific multiscale cardiovascular model that estimates central blood pressure from routine noninvasive measurements, showing promising preliminary results.

Findings

Model errors for central pressures are around 4-6 mmHg.

The approach shows good agreement with invasive measurements.

Potential for clinical application with further validation.

Abstract

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$\pm$6.61 years. Results: Errors in central systolic, diastolic, mean and pulse pressures by the model are 4.26$\pm$2.81 mmHg, 5.86$\pm$4.38 mmHg, 4.98$\pm$3.95 mmHg and 3.51$\pm$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.