Affiliation:
1. Department of Medical Engineering California Institute of Technology Pasadena CA USA
Abstract
Background
Noninvasive pulse waveform analysis is valuable for central cardiovascular assessment, yet controversies persist over its validity in peripheral measurements. Our objective was to compare waveform features from a cuff system with suprasystolic blood pressure hold with an invasive aortic measurement.
Methods and Results
This study analyzed data from 88 subjects undergoing concurrent aortic catheterization and brachial pulse waveform acquisition using a suprasystolic blood pressure cuff system. Oscillometric blood pressure (BP) was compared with invasive aortic systolic BP and diastolic BP. Association between cuff and catheter waveform features was performed on a set of 15 parameters inclusive of magnitudes, time intervals, pressure–time integrals, and slopes of the pulsations. The evaluation covered both static (subject‐averaged values) and dynamic (breathing‐induced fluctuations) behaviors. Peripheral BP values from the cuff device were higher than catheter values (systolic BP–residual, 6.5 mm Hg; diastolic BP–residual, 12.4 mm Hg). Physiological correction for pressure amplification in the arterial system improved systolic BP prediction (
r
2
=0.83). Dynamic calibration generated noninvasive BP fluctuations that reflect those invasively measured (systolic BP Pearson
R
=0.73,
P
<0.001; diastolic BP Pearson
R
=0.53,
P
<0.001). Static and dynamic analyses revealed a set of parameters with strong associations between catheter and cuff (Pearson
R
>0.5,
P
<0.001), encompassing magnitudes, timings, and pressure–time integrals but not slope‐based parameters.
Conclusions
This study demonstrated that the device and methods for peripheral waveform measurements presented here can be used for noninvasive estimation of central BP and a subset of aortic waveform features. These results serve as a benchmark for central cardiovascular assessment using suprasystolic BP cuff‐based devices and contribute to preserving system dynamics in noninvasive measurements.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Cited by
1 articles.
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