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.

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