Differences in the ankle-brachial index in the general population after 4 years of follow-up

Vasa. 2013 Mar;42(2):112-9. doi: 10.1024/0301-1526/a000254.

Abstract

Background: Variation in the ankle-brachial index (ABI) is related to the progression of atherosclerosis in the lower extremities and is associated with mid-term cardiovascular morbidity and mortality. The aim of this study was to investigate the changes in ABI after four years of follow-up of individuals in the general population, and the factors associated with relevant variations observed.

Patients and methods: The study was performed in 750 volunteers (mean age 69.9 years) men without any evidence of peripheral artery disease, who attended a primary care centre. A complete physical examination, together with standard blood tests and ABI were performed. Four years later a new clinical evaluation was done. Variations in ABI values were considered relevant if > 10 %.

Results: Mean ABI in the second visit was 1.07 ± 0.15, which represented 0.02 ± 0.12 points lower than in the first visit (P < 0.001). Of these subjects, 157 (21.6 %) had an ABI decrease > 10 %. Multivariate analysis showed that the change was associated with male gender, cardiovascular history, no intake of blockers of the renin-angiotensin system, and the presence of atherogenic dyslipidaemia. A relevant increase in ABI was observed in 117 subjects (16.1 %), but was not associated with any of the studied factors.

Conclusions: ABI values tend to decrease in the general population, although one sixth of the studied subjects had a relevant increase in this parameter.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Ankle Brachial Index*
  • Cardiovascular Diseases / diagnosis*
  • Cardiovascular Diseases / epidemiology
  • Cardiovascular Diseases / mortality
  • Cardiovascular Diseases / physiopathology
  • Chi-Square Distribution
  • Dyslipidemias / epidemiology
  • Female
  • Follow-Up Studies
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Predictive Value of Tests
  • Prevalence
  • Primary Health Care
  • Prognosis
  • Risk Factors
  • Sex Factors
  • Spain / epidemiology
  • Time Factors