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Lower Lean Mass Is Associated with Greater Arterial Stiffness in Patients with Lower Extremity Artery Disease.

Research output: Contribution to journalResearch article

4 Citations (Web of Science)

Abstract

BACKGROUND: Arterial stiffness is independently associated with lower extremity artery disease (LEAD). Although obesity is already known as an independent cardiovascular risk factor, it was found that, paradoxically, in patients diagnosed with cardiovascular disease, an increase in body mass index (BMI) was associated with a decrease in mortality. However, the underlying mechanism of this paradoxical association remain uncertain. In this study, we firstly hypothesize that arterial stiffness correlates with body mass; secondly, the underlying mechanism of the association for patients with LEAD is individual body composition, in particular, lean mass.

METHODS: The present study was performed as a single-center, prospective, observational analysis. A total of 412 patients with current or previously diagnosed LEAD (Rutherford Classification 2-4) were included, the cfPWV and AIx were measured as indices of arterial stiffness, and a body composition assessment was performed.

RESULTS: In male patients, there was a significantly negative correlation between the AIx and lean mass coefficient (p = 0.004, 95% CI: -0.28 (-0.48-0.09)).

CONCLUSION: For patients with peripheral arterial disease, our data show that lower lean mass in male patients is associated with increased arterial stiffness as measured by the AIx. Therefore, progressive resistance training may be beneficial for the reduction in arterial stiffness in PAD patients in secondary prevention.

Original languageEnglish
Article number911
Number of pages10
JournalJournal of Personalized Medicine
Volume11
Issue number9
DOIs
Publication statusPublished - 13 Sept 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Branches of science

  • 101 Mathematics
  • 102 Computer Sciences
  • 301 Medical-Theoretical Sciences, Pharmacy
  • 302 Clinical Medicine
  • 305 Other Human Medicine, Health Sciences

Research Fields

  • Metabolism and Circulation

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