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Profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease

BACKGROUND: The ankle brachial index (ABI) is an efficient tool for objectively documenting the presence of lower extremity peripheral arterial disease (PAD). However, different methods exist for ABI calculation, which might result in varying PAD prevalence estimates. To address this question, we co...

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Autores principales: Lange, Stefan F, Trampisch, Hans-Joachim, Pittrow, David, Darius, Harald, Mahn, Matthias, Allenberg, Jens R, Tepohl, Gerhart, Haberl, Roman L, Diehm, Curt
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1950873/
https://www.ncbi.nlm.nih.gov/pubmed/18293542
http://dx.doi.org/10.1186/1471-2458-7-147
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author Lange, Stefan F
Trampisch, Hans-Joachim
Pittrow, David
Darius, Harald
Mahn, Matthias
Allenberg, Jens R
Tepohl, Gerhart
Haberl, Roman L
Diehm, Curt
author_facet Lange, Stefan F
Trampisch, Hans-Joachim
Pittrow, David
Darius, Harald
Mahn, Matthias
Allenberg, Jens R
Tepohl, Gerhart
Haberl, Roman L
Diehm, Curt
author_sort Lange, Stefan F
collection PubMed
description BACKGROUND: The ankle brachial index (ABI) is an efficient tool for objectively documenting the presence of lower extremity peripheral arterial disease (PAD). However, different methods exist for ABI calculation, which might result in varying PAD prevalence estimates. To address this question, we compared five different methods of ABI calculation using Doppler ultrasound in 6,880 consecutive, unselected primary care patients ≥65 years in the observational getABI study. METHODS: In all calculations, the average systolic pressure of the right and left brachial artery was used as the denominator (however, in case of discrepancies of ≥10 mmHg, the higher reading was used). As nominators, the following pressures were used: the highest arterial ankle pressure of each leg (method #1), the lowest pressure (#2), only the systolic pressure of the tibial posterior artery (#3), only the systolic pressure of the tibial anterior artery (#4), and the systolic pressure of the tibial posterior artery after exercise (#5). An ABI < 0.9 was regarded as evidence of PAD. RESULTS: The estimated prevalence of PAD was lowest using method #1 (18.0%) and highest using method #2 (34.5%), while the differences in methods #3–#5 were less pronounced. Method #1 resulted in the most accurate estimation of PAD prevalence in the general population. Using the different approaches, the odds ratio for the association of PAD and cardiovascular (CV) events varied between 1.7 and 2.2. CONCLUSION: The data demonstrate that different methods for ABI determination clearly affect the estimation of PAD prevalence, but not substantially the strength of the associations between PAD and CV events. Nonetheless, to achieve improved comparability among different studies, one mode of calculation should be universally applied, preferentially method #1.
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spelling pubmed-19508732007-08-24 Profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease Lange, Stefan F Trampisch, Hans-Joachim Pittrow, David Darius, Harald Mahn, Matthias Allenberg, Jens R Tepohl, Gerhart Haberl, Roman L Diehm, Curt BMC Public Health Research Article BACKGROUND: The ankle brachial index (ABI) is an efficient tool for objectively documenting the presence of lower extremity peripheral arterial disease (PAD). However, different methods exist for ABI calculation, which might result in varying PAD prevalence estimates. To address this question, we compared five different methods of ABI calculation using Doppler ultrasound in 6,880 consecutive, unselected primary care patients ≥65 years in the observational getABI study. METHODS: In all calculations, the average systolic pressure of the right and left brachial artery was used as the denominator (however, in case of discrepancies of ≥10 mmHg, the higher reading was used). As nominators, the following pressures were used: the highest arterial ankle pressure of each leg (method #1), the lowest pressure (#2), only the systolic pressure of the tibial posterior artery (#3), only the systolic pressure of the tibial anterior artery (#4), and the systolic pressure of the tibial posterior artery after exercise (#5). An ABI < 0.9 was regarded as evidence of PAD. RESULTS: The estimated prevalence of PAD was lowest using method #1 (18.0%) and highest using method #2 (34.5%), while the differences in methods #3–#5 were less pronounced. Method #1 resulted in the most accurate estimation of PAD prevalence in the general population. Using the different approaches, the odds ratio for the association of PAD and cardiovascular (CV) events varied between 1.7 and 2.2. CONCLUSION: The data demonstrate that different methods for ABI determination clearly affect the estimation of PAD prevalence, but not substantially the strength of the associations between PAD and CV events. Nonetheless, to achieve improved comparability among different studies, one mode of calculation should be universally applied, preferentially method #1. BioMed Central 2007-07-06 /pmc/articles/PMC1950873/ /pubmed/18293542 http://dx.doi.org/10.1186/1471-2458-7-147 Text en Copyright © 2007 Lange et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lange, Stefan F
Trampisch, Hans-Joachim
Pittrow, David
Darius, Harald
Mahn, Matthias
Allenberg, Jens R
Tepohl, Gerhart
Haberl, Roman L
Diehm, Curt
Profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease
title Profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease
title_full Profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease
title_fullStr Profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease
title_full_unstemmed Profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease
title_short Profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease
title_sort profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1950873/
https://www.ncbi.nlm.nih.gov/pubmed/18293542
http://dx.doi.org/10.1186/1471-2458-7-147
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