2.8 INVASIVE STUDY FOR TESTING NON-INVASIVE METHODS OF AORTIC PRESSURE ESTIMATION
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- 10.1016/j.artres.2017.10.030How to use a DOI?
- Abstract
Purpose: Aortic blood pressure has a superior prognostic value with respect to the brachial pressure [ 1]. Nonetheless, the low efficacy of the most used non-invasive methods (i.e., approaches based on the generalized transfer function (GTF)) may hamper the detection of this superiority in population studies [2]. In this sense, low-order, patient-specific whole-body mathematical models might help to bridge brachial to aortic pressure waveforms. We aimed to compare (i) GTF, (ii) a patient-specific 1D-0D mathematical model, and (iii) brachial blood pressure in the estimation of invasive aortic pressure measured through catheter.
Method: One-hundred patients referred to diagnostic coronary angiography were included in this study. Brachial pressure was measured with a validated automatic oscillometric device simultaneously to invasive aortic pressure, which was measured with a calibrated fluid-filled catheter. End-systolic and end-diastolic left ventricular volumes, carotid-femoral pulse wave velocity and tonometric radial waveform were measured immediately prior to the invasive procedure and were used to set GTF and the mathematical model.
Results: Oscillometric brachial pressure overestimated both systolic (2.4 ± 12.6 mmHg, R2 = 0.71) and diastolic (3.7 ± 9.8 mmHg, R2 = 0.48) aortic pressure. GTF method underestimated systolic (9.4 ± 11 mmHg, R2 = 0.71) and overestimated diastolic (4.5 ± 10.2 mmHg, R2 = 0.4) aortic pressure. Mathematical model underestimated both systolic (4 ± 16.5 mmHg, R2 = 0.47) and diastolic (3.9 ± 10.4 mmHg, R2 = 0.62) aortic pressure. Brachial pressure and GTF methods presented trends toward systolic and diastolic pressure overestimation for higher aortic pressure, while mathematical modeling not.
Conclusions: Systolic and diastolic oscillometric brachial pressures give a better predictor of aortic pressure extremes with respect to both GTF- and mathematical model-based methods.
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TY - JOUR AU - Andrea Guala AU - F. Tosello AU - D. Leone AU - L. Sabia AU - F. D’Ascenzo AU - T. Crea AU - C. Moretti AU - F. Gaita AU - F. Veglio AU - L. Ridolfi AU - A. Milan PY - 2017 DA - 2017/12/06 TI - 2.8 INVASIVE STUDY FOR TESTING NON-INVASIVE METHODS OF AORTIC PRESSURE ESTIMATION JO - Artery Research SP - 52 EP - 52 VL - 20 IS - C SN - 1876-4401 UR - https://doi.org/10.1016/j.artres.2017.10.030 DO - 10.1016/j.artres.2017.10.030 ID - Guala2017 ER -