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Updated: Feb 1, 2026

Measuring the Carotid to Femoral Pulse Wave Velocity Cf-PWV to Evaluate Arterial Stiffness
05:51

Measuring the Carotid to Femoral Pulse Wave Velocity Cf-PWV to Evaluate Arterial Stiffness

Published on: May 3, 2018

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Brachial-ankle pulse wave velocity, cardio-ankle vascular index, and prognosis

Dai Ato1

  • 1Gakujutsu Shien Co., Ltd, Tokyo, Japan, ato.dai1@wind.ocn.ne.jp.

Vascular Health and Risk Management
|December 1, 2018
PubMed

Insights

The number of patients and inclusion of dialysis populations significantly impact the prognostic prediction success of arterial stiffness indices like brachial-ankle pulse wave velocity (baPWV) and cardio-ankle vascular index (CAVI). Arteriosclerosis obliterans exclusion criteria are also important.

Area of Science:

  • Cardiovascular Research
  • Biomedical Engineering
  • Clinical Diagnostics

Background:

  • Arterial stiffness is a key indicator of cardiovascular risk.
  • Brachial-ankle pulse wave velocity (baPWV) and cardio-ankle vascular index (CAVI) are established measures of arterial stiffness.
  • A comprehensive review of their prognostic significance is lacking.

Purpose of the Study:

  • To systematically review the prognostic significance of baPWV and CAVI.
  • To identify factors influencing the success of prognostic prediction using these indices.
  • To evaluate the impact of arteriosclerosis obliterans (ASO) exclusion criteria.

Main Methods:

  • Systematic review of studies assessing prognostic significance of baPWV and CAVI.
  • Definition of "successful" studies as those showing independent significance in multivariate Cox proportional hazards analysis.
  • Comparison of success rates using Fisher's exact test and logistic regression for determinant analysis.

Main Results:

  • The success rate for baPWV (65.7%) was higher than for CAVI (40.0%).
  • Larger patient numbers (log) and inclusion of dialysis populations were independent determinants of successful prognostic prediction.
  • Exclusion criteria for ASO showed a statistical tendency to influence prognostic prediction success.

Conclusions:

  • Study participant numbers and the inclusion of dialysis populations are critical for successful prognostic prediction with baPWV and CAVI.
  • Proper application of ASO exclusion criteria is important for accurate interpretation.
  • Further large-scale prospective studies are needed to confirm the superiority of these indices in prognostic prediction.
Abstract

Keywords:
ankle–brachial indexcardio-vascular eventsdiabeteshemodialysisperipheral arterial disease

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