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Updated: Apr 19, 2026

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
Published on: February 7, 2014
Methodological approaches and the clinical utility of noninvasive estimated pulse wave velocity
James R Cox1,2, Farhan Ahmed1, Catherine Liao2,3
1Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, New South Wales, Australia.
Insights
Estimated pulse wave velocity (ePWV) offers a promising, accessible method for monitoring arterial stiffness. While widely studied, further refinement of ePWV algorithms is needed to address individual variability and improve precision for cardiovascular health.
Area of Science:
- Cardiovascular Physiology
- Biomedical Engineering
- Medical Diagnostics
Background:
- Arterial stiffness, measured by carotid-femoral pulse wave velocity (cfPWV), is a key cardiovascular risk factor.
- Traditional cfPWV requires dual-site pulse waveform acquisition, limiting clinical application.
- Estimated PWV (ePWV) offers a solution by using single-site or no pulse measurements for broader cardiovascular monitoring.
Purpose of the Study:
- To systematically review various approaches to ePWV estimation.
- To investigate the clinical utility of ePWV as a surrogate for arterial stiffness.
- To identify trends in ePWV research and highlight areas for future development.
Main Methods:
- Systematic literature review adhering to PRISMA guidelines.
- Searches conducted across Embase, MEDLINE, PubMed, and Scopus databases.
- Analysis of 131 eligible papers focusing on ePWV methodologies and validation.
Main Results:
- Regression-based approaches (69%) and pulse wave analysis (PWA)-based approaches (34%) dominate ePWV research.
- Oscillometric cuffs are frequently used in PWA methods (57%).
- Validation studies (12%) show variable correlations (r=0.35-0.92) and significant standard deviations (±2.54 m/s), indicating individual variability.
Conclusions:
- ePWV is recognized as a viable surrogate for arterial stiffness assessment.
- Substantial individual differences exist within population averages, necessitating algorithm refinement.
- Further research is required to enhance the precision and clinical reliability of ePWV estimation.
Abstract:
Arterial stiffness, as measured by carotid-femoral pulse wave velocity (cfPWV), is an independent cardiovascular risk factor. Arterial stiffness measurement requires the acquisition of pulse waveforms at two arterial sites. This technique is often constrained to clinical or laboratory settings. Estimated PWV (ePWV) addresses these limitations by only requiring the measurement of a single pulse, or no pulse at all, providing a wider application for cardiovascular health monitoring. The aim of this systematic literature review is to investigate the various approaches and clinical utility of ePWV as a surrogate measure of arterial stiffness. The literature search followed the PRISMA guidelines and was conducted in the following databases: Embase, MEDLINE, PubMed, and Scopus. The initial search identified 409 papers: Embase (n = 38), MEDLINE (n = 98), PubMed (n = 93), and Scopus (n = 180). After screening and applying the exclusion criteria, 131 eligible papers remained. Peak topic publication occurred in 2024 (30%). Most papers (69%) used regression-based approaches in ePWV while 34% used a pulse wave analysis (PWA)-based approach. Most PWA approaches (57%) used an oscillometric cuff. There were few validation studies (12%). Validation studies presented correlations (r) from 0.35 to 0.92 and standard deviations reaching ±2.54 m/s. The use of ePWV as a surrogate for arterial stiffness is positively observed across the literature. However, validation studies reveal substantial individual differences hidden within acceptable population averages, underscoring the need to refine estimation algorithms for greater precision.NEW & NOTEWORTHY This structured literature review provides a collective overview of the various indirect approaches that have been used for noninvasive estimation of pulse wave velocity (PWV), along with the various clinical applications they have been used in. It focuses on the vast use of simple regression-based approaches, the individual differences hidden in the population averages, and how the inclusion of pulse wave analysis (PWA), currently underutilized, may enhance the assessment of arterial stiffness.
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