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ABI derived from the highest and lowest ankle pressure. What is the difference?
K Kröger1, E Bock, T Hohenberger
1Department of Angiology, HELIOS Klinikum Krefeld, Lutherplatz 40, Krefeld, Germany. knut.kroeger@helios-kliniken.de
Summary
Calculating ankle-brachial index (ABI) using ABI-low reveals higher peripheral arterial disease (PAD) prevalence than ABI-high. This difference, potentially due to plantar arch anatomy, impacts PAD detection rates across demographics.
Area of Science:
- Vascular Medicine
- Diagnostic Accuracy
- Epidemiology
Background:
- Ankle-brachial index (ABI) is crucial for diagnosing peripheral arterial disease (PAD).
- Different calculation methods for ABI, specifically ABI-low and ABI-high, yield varying prevalence estimates.
- Understanding these differences is vital for accurate PAD detection and risk assessment.
Purpose of the Study:
- To compare the prevalence of PAD estimated using ABI-low versus ABI-high.
- To analyze the influence of age and cardiovascular risk factors on PAD prevalence estimates.
- To investigate the underlying reasons for discrepancies between ABI-low and ABI-high in PAD prevalence.
Main Methods:
- Utilized data from the Arteriomobil Project.
- Calculated ABI using two methods: ABI-low (lowest of four ankle pressures) and ABI-high (highest ankle pressure per leg).
- Defined PAD as ABI < 0.9.
Main Results:
- PAD prevalence was significantly higher with ABI-low (15.7%) compared to ABI-high (8.0%).
- Using ABI-high alone missed 8% of men and 7.5% of women with suspected PAD.
- Prevalence rates remained low when using only posterior or anterior tibial artery pressures.
- ABI-high showed consistently lower prevalence, unaffected by age or common risk factors (smoking, hypertension, hypercholesterolemia, diabetes).
Conclusions:
- The study supports the hypothesis that anatomical variations in the plantar arch explain the differing PAD prevalence rates between ABI-low and ABI-high.
- Angiographic studies are recommended to confirm the role of plantar arch anatomy.
- Accurate ABI calculation method is critical for reliable PAD prevalence estimation.
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