The relationship of renal function to segmental vascular stiffness, ankle-brachial index, and peripheral artery

Yueh-Hung Lin1,2, Kuo-Tzu Sung1,2, Cheng-Ting Tsai1,2

  • 1Department of Medicine, Mackay Medical College, New Taipei City, Taiwan.

Insights

Early kidney insufficiency is linked to vascular stiffness and peripheral artery disease (PAD). Lower estimated glomerular filtration rate (eGFR) and ankle-brachial index (ABI) indicate higher PAD risk.

Area of Science:

  • Cardiovascular Medicine
  • Nephrology
  • Vascular Biology

Background:

  • Peripheral artery disease (PAD) is a common manifestation of atherosclerosis.
  • Cardiovascular risk factors often coexist with impaired renal function.
  • Vascular stiffness is an independent predictor of cardiovascular events.

Purpose of the Study:

  • To investigate the association between renal function and vascular stiffness indices, including pulse-wave velocity (PWV) and ankle-brachial index (ABI).
  • To determine if reduced estimated glomerular filtration rate (eGFR) is an independent predictor of PAD risk.

Main Methods:

  • Cross-sectional study of 2309 outpatients with at least one cardiovascular risk factor.
  • Assessment of various pulse-wave velocity (PWV) indices and ankle-brachial index (ABI) using an automatic device.
  • Multivariate regression analysis to identify independent associations between eGFR, ABI, PWV, and PAD risk.

Main Results:

  • Worse renal function (lower eGFR) was associated with higher brachial-ankle PWV, heart-carotid PWV, heart-femoral PWV (hf-PWV), and lower ABI (all P < .001).
  • Lower eGFR and ABI, and higher hf-PWV were independently associated with greater PAD risk (P < .05).
  • An eGFR cutoff of 77 mL/min/1.73m² demonstrated utility in identifying PAD (P for ΔAUROC: .009).

Conclusions:

  • Early renal insufficiency is significantly linked to region-specific vascular stiffness and PAD.
  • Reduced eGFR is an independent risk factor for PAD.
  • ABI and PWV measurements, in conjunction with eGFR, may aid in early PAD detection in at-risk populations.

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