Literature DB >> 12725875

The intra- and interobserver variability of ankle-arm blood pressure index according to its mode of calculation.

Victor Aboyans1, Philippe Lacroix, Arnaud Lebourdon, Pierre-Marie Preux, Jean Ferrières, Mare Laskar.   

Abstract

To propose a standardization of calculus of the ankle-arm index as a diagnostic tool in the clinical setting and epidemiology of peripheral arterial disease, we aimed to study the reproducibility of its measurement through 15 different modes of calculation. The study was performed in a group of 194 vascular laboratory outpatients of a tertiary center. The intra- and interobserver variability was assessed by the intraclass correlation coefficient of agreement and the Bland & Altman method. Methods where the numerator was calculated by the average of posterior tibial and dorsalis pedis artery systolic pressures revealed to be the best reproducible. According to this study and former researches on this topic, we recommend the use of the average of posterior tibial and dorsalis pedis artery systolic pressures of the weakest limb for the numerator and the average of systolic pressures of humeral arteries for the denominator of the ankle-arm index.

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Year:  2003        PMID: 12725875     DOI: 10.1016/s0895-4356(02)00584-x

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  8 in total

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Authors:  Evan S Dellon; Karen J Fritchie; Tara C Rubinas; John T Woosley; Nicholas J Shaheen
Journal:  Dig Dis Sci       Date:  2009-10-15       Impact factor: 3.199

3.  The relevance of different methods of calculating the ankle-brachial index: the multi-ethnic study of atherosclerosis.

Authors:  Matthew A Allison; Victor Aboyans; Tanya Granston; Mary M McDermott; Aruna Kamineni; Hanyu Ni; Michael H Criqui
Journal:  Am J Epidemiol       Date:  2009-12-30       Impact factor: 4.897

4.  Ankle brachial index measurement in primary care: are we doing it right?

Authors:  Saskia P A Nicolaï; Lotte M Kruidenier; Ellen V Rouwet; Marie-Louise E L Bartelink; Martin H Prins; Joep A W Teijink
Journal:  Br J Gen Pract       Date:  2009-06       Impact factor: 5.386

5.  Prevalence and risk factors of lower extremity disease in high risk groups in Malawi: a stratified cross-sectional study.

Authors:  Stephen Kasenda; Amelia Crampin; Justine Davies; Jullita Kenala Malava; Stella Manganizithe; Annie Kumambala; Becky Sandford
Journal:  BMJ Open       Date:  2022-08-10       Impact factor: 3.006

6.  Perceptions of the ankle brachial index amongst podiatrists registered in Western Australia.

Authors:  Naiya Shah; Julie Pham; Virginia M Bower; Pamela Y Chen; Kaye M Lawford
Journal:  J Foot Ankle Res       Date:  2012-07-30       Impact factor: 2.303

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

Authors:  Stefan F Lange; Hans-Joachim Trampisch; David Pittrow; Harald Darius; Matthias Mahn; Jens R Allenberg; Gerhart Tepohl; Roman L Haberl; Curt Diehm
Journal:  BMC Public Health       Date:  2007       Impact factor: 3.295

8.  Accuracy of Peripheral Arterial Disease Registers in UK General Practice: Case-Control Study.

Authors:  Daniel Kyle; Luke Boylan; Lesley Wilson; Shona Haining; Crispian Oates; Andrew Sims; Ina Guri; John Allen; Scott Wilkes; Gerry Stansby
Journal:  J Prim Care Community Health       Date:  2020 Jan-Dec
  8 in total

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