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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...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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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. |
format | Text |
id | pubmed-1950873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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