Estimation of Aortic Stiffness with Bramwell-Hill Equation: A Comparative Analysis with Carotid-Femoral Pulse Wave Velocity.
Luca MesinLuca FlorisPiero PolicastroStefano AlbaniPaolo ScacciatellaNicola Riccardo PuglieseStefano MasiAndrea GrilloBruno FabrisFrancesco Antonini-CanterinPublished in: Bioengineering (Basel, Switzerland) (2022)
Aortic stiffness is an important clinical parameter for predicting cardiovascular events. Carotid-femoral pulse wave velocity (cf-PWV) has been proposed for performing this evaluation non-invasively; however, it requires dedicated equipment and experienced operators. We explored the possibility of measuring aortic stiffness using ultrasound scans of the abdominal aorta coupled with the Bramwell-Hill equation. Healthy subjects were investigated; measurements of cf-PWV were taken by arterial tonometry and aortic systo-diastolic pressure difference was estimated using a validated model. Pulsatility of an abdominal tract of aorta was assessed by automated processing of ultrasound scans. Through a Bland-Altmann analysis, we found large biases when estimating each parameter by applying the Bramwell-Hill equation to the measured values of the other two paramters (bias, ± 1.96 SD; PWV, about 2.1 ± 2.5 m/s; pulsatility, 12 ± 14%; pressure jump, 47 ± 55 mmHg). These results indicate that the two measures are not interchangeable, and that a large part of the bias is attributable to blood pressure estimation. Further studies are needed to identify the possible sources of bias between cf-PWV and aortic pulsatility.
Keyphrases
- aortic valve
- blood pressure
- pulmonary artery
- left ventricular
- cardiovascular events
- aortic dissection
- cystic fibrosis
- magnetic resonance imaging
- computed tomography
- coronary artery
- pulmonary hypertension
- coronary artery disease
- pulmonary arterial hypertension
- cardiovascular disease
- heart failure
- machine learning
- heart rate
- hypertensive patients
- deep learning
- skeletal muscle
- blood flow
- high throughput
- metabolic syndrome
- blood glucose
- contrast enhanced
- single cell
- atomic force microscopy
- single molecule