» Articles » PMID: 22796711

Evaluation of a Novel Sphygmomanometer, Which Estimates Central Aortic Blood Pressure from Analysis of Brachial Artery Suprasystolic Pressure Waves

Overview
Journal J Hypertens
Date 2012 Jul 17
PMID 22796711
Citations 23
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Central arterial pressure is a better predictor of adverse cardiovascular outcomes than brachial blood pressure, but noninvasive measurement by applanation tonometry is technically demanding.

Method: Pulsecor R6.5 is a novel device adapted from a standard sphygmomanometer which estimates the central aortic pressure from analysis of low-frequency suprasystolic waveforms at the occluded brachial artery. A physics-based model, which simulates the arterial system using elastic, thin-walled tube elements and Navier-Stokes equations, is used to calculate arterial pressure and flow propagation. To determine the reliability of the device, we compared 94 central systolic pressures estimated by Pulsecor to the simultaneous directly measured central aortic pressures at the time of coronary angiography in 37 individuals.

Results: There was good correlation in central SBP between catheter measurements and Pulsecor estimates by either invasive or noninvasive calibration methods (r = 0.99, P < 0.0001 and r = 0.95, P < 0.0001, respectively). The mean difference in central systolic pressure was 2.78 (SD 3.90) mmHg and coefficient of variation was 0.03 when the invasive calibration method was used.When the noninvasive calibration method was used, the mean difference in central systolic pressure was 0.25 (SD 6.31) mmHg and coefficient of variation was 0.05.

Conclusion: We concluded that Pulsecor R6.5 provides a simple and easy method to noninvasively estimate central SBP, which has highly acceptable accuracy.

Citing Articles

New Hemodynamic Parameters in Peri-Operative and Critical Care-Challenges in Translation.

Bogatu L, Turco S, Mischi M, Schmitt L, Woerlee P, Bezemer R Sensors (Basel). 2023; 23(4).

PMID: 36850819 PMC: 9961222. DOI: 10.3390/s23042226.


Automated model calibration with parallel MCMC: Applications for a cardiovascular system model.

Argus F, Zhao D, Gamage T, Nash M, Maso Talou G Front Physiol. 2022; 13:1018134.

PMID: 36439250 PMC: 9683692. DOI: 10.3389/fphys.2022.1018134.


Measurement, Analysis and Interpretation of Pressure/Flow Waves in Blood Vessels.

Mynard J, Kondiboyina A, Kowalski R, Cheung M, Smolich J Front Physiol. 2020; 11:1085.

PMID: 32973569 PMC: 7481457. DOI: 10.3389/fphys.2020.01085.


Effects of robotic-assisted gait training on the central vascular health of individuals with spinal cord injury: A pilot study.

Faulkner J, Martinelli L, Cook K, Stoner L, Ryan-Stewart H, Paine E J Spinal Cord Med. 2019; 44(2):299-305.

PMID: 31525137 PMC: 7952073. DOI: 10.1080/10790268.2019.1656849.


Non-invasive assessment of ventriculo-arterial coupling using aortic wave intensity analysis combining central blood pressure and phase-contrast cardiovascular magnetic resonance.

Bhuva A, DSilva A, Torlasco C, Nadarajan N, Jones S, Boubertakh R Eur Heart J Cardiovasc Imaging. 2019; 21(7):805-813.

PMID: 31501858 PMC: 7306860. DOI: 10.1093/ehjci/jez227.