Estimated Pulse Wave Velocity Calculated from Age and Mean Arterial Blood Pressure

Sara V Greve1, Stephan Laurent2, Michael H Olsen3

  • 1Department of Endocrinology, Cardiovascular and Metabolic Preventive Clinic, Centre for Individualized Medicine in Arterial Diseases, Odense University Hospital, Odense, Denmark.

Pulse (Basel, Switzerland)
|February 24, 2017
PubMed

Insights

Estimated pulse wave velocity (ePWV) effectively predicts cardiovascular disease (CVD) risk, matching the accuracy of measured carotid-femoral pulse wave velocity (cfPWV). This suggests ePWV may offer a simpler alternative to the traditional cfPWV measurement for CVD risk assessment.

Area of Science:

  • Cardiovascular medicine
  • Biomedical engineering
  • Clinical diagnostics

Background:

  • Cardiovascular disease (CVD) remains a leading cause of mortality worldwide.
  • Pulse wave velocity (PWV) is a key indicator of arterial stiffness and a predictor of CVD risk.
  • Carotid-femoral PWV (cfPWV) is the gold standard for measuring PWV but requires specialized equipment and time.

Purpose of the Study:

  • To evaluate if estimated PWV (ePWV), calculated via an equation using age and blood pressure, predicts CVD risk comparably to measured cfPWV.
  • To explore the potential of ePWV as a more accessible alternative to cfPWV in clinical practice.

Main Methods:

  • The study reviews findings comparing the predictive performance of ePWV against cfPWV for cardiovascular events.
  • Analysis focuses on the accuracy and clinical utility of ePWV derived from established formulas.

Main Results:

  • The estimated PWV (ePWV) demonstrates a predictive capacity for cardiovascular disease (CVD) that is equivalent to that of measured carotid-femoral PWV (cfPWV).
  • This indicates that ePWV is a viable surrogate for cfPWV in assessing CVD risk.

Conclusions:

  • Estimated PWV (ePWV) offers a comparable predictive value for cardiovascular disease (CVD) as measured carotid-femoral PWV (cfPWV).
  • ePWV presents a potentially simpler and more cost-effective method for CVD risk stratification in clinical settings, reducing the need for expensive cfPWV measurements.

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