BACKGROUND: Brachial artery ultrasound has been proposed as an inexpensive, accurate way to assess cardiovascular risk in populations. However, analysis and interpretation of these data are not uniform. METHODS: We analysed the relationship between relative and absolute changes in brachial artery diameter in response to flow-mediated dilation and age, gender and baseline diameter among 4,040 ultrasound examinations from subjects aged 14 to 98 years. RESULTS: Reproducibility studies demonstrated intra- and interreader and intrasubject correlations from 0.67 to 0.84 for repeated measures of per cent change in diameter. Per cent change in diameter after flow stimulus was 3.58 +/- 0.10% (mean +/- standard deviation). Corresponding values for baseline diameter and absolute change in diameter were 4.43 +/- 0.87 mm and 0.15 +/- 0.01 mm, respectively. Baseline diameter and its variance were inversely related to per cent change in diameter (P< 0.001). In contrast, absolute change in diameter was more uniform throughout the range of baseline diameters. Baseline diameter was directly related, and per cent change in diameter inversely related, to age (P < 0.001 for all three measures). Time to maximum vasodilator response increased with age (P < 0.001). Women (n=2,315) had significantly larger per cent change in diameter than men (n=1,725) (P < 0.001). However, after adjustment for age and baseline diameter, per cent and absolute change were 5% smaller in women than men (P < 0.05 for both). In multivariate analysis, age was overwhelmingly the most important determinant of absolute change in diameter (P < 0.001). CONCLUSIONS: Automated analysis of brachial flow-mediated vasodilator responses is both feasible and reproducible in large-scale clinical and population-based research.
BACKGROUND: Brachial artery ultrasound has been proposed as an inexpensive, accurate way to assess cardiovascular risk in populations. However, analysis and interpretation of these data are not uniform. METHODS: We analysed the relationship between relative and absolute changes in brachial artery diameter in response to flow-mediated dilation and age, gender and baseline diameter among 4,040 ultrasound examinations from subjects aged 14 to 98 years. RESULTS: Reproducibility studies demonstrated intra- and interreader and intrasubject correlations from 0.67 to 0.84 for repeated measures of per cent change in diameter. Per cent change in diameter after flow stimulus was 3.58 +/- 0.10% (mean +/- standard deviation). Corresponding values for baseline diameter and absolute change in diameter were 4.43 +/- 0.87 mm and 0.15 +/- 0.01 mm, respectively. Baseline diameter and its variance were inversely related to per cent change in diameter (P< 0.001). In contrast, absolute change in diameter was more uniform throughout the range of baseline diameters. Baseline diameter was directly related, and per cent change in diameter inversely related, to age (P < 0.001 for all three measures). Time to maximum vasodilator response increased with age (P < 0.001). Women (n=2,315) had significantly larger per cent change in diameter than men (n=1,725) (P < 0.001). However, after adjustment for age and baseline diameter, per cent and absolute change were 5% smaller in women than men (P < 0.05 for both). In multivariate analysis, age was overwhelmingly the most important determinant of absolute change in diameter (P < 0.001). CONCLUSIONS: Automated analysis of brachial flow-mediated vasodilator responses is both feasible and reproducible in large-scale clinical and population-based research.
Authors: Christopher T Dibble; Daichi Shimbo; R Graham Barr; Emilia Bagiella; Harjit Chahal; Corey E Ventetuolo; David M Herrington; Joao A C Lima; David A Bluemke; Steven M Kawut Journal: Chest Date: 2012-12 Impact factor: 9.410
Authors: Isha Agarwal; Alice Arnold; Nicole L Glazer; Eddy Barasch; Luc Djousse; Annette L Fitzpatrick; John S Gottdiener; Joachim H Ix; Richard A Jensen; Jorge R Kizer; Eric B Rimm; David S Siscovick; Russell P Tracy; Tien Y Wong; Kenneth J Mukamal Journal: Atherosclerosis Date: 2015-02-16 Impact factor: 5.162
Authors: Tim S Nawrot; Jan A Staessen; Robert H Fagard; Luc M Van Bortel; Harry A Struijker-Boudier Journal: Eur J Epidemiol Date: 2005 Impact factor: 8.082
Authors: Joel D Trinity; H Jonathan Groot; Gwenael Layec; Matthew J Rossman; Stephen J Ives; Sean Runnels; Ben Gmelch; Amber Bledsoe; Russell S Richardson Journal: J Physiol Date: 2012-02-06 Impact factor: 5.182
Authors: Joseph Yeboah; Kim Sutton-Tyrrell; Mary Ann Mcburnie; Gregory L Burke; David M Herrington; John R Crouse Journal: Atherosclerosis Date: 2007-08-21 Impact factor: 5.162
Authors: Devon A Dobrosielski; Frank L Greenway; David A Welsh; S Michal Jazwinski; Michael A Welsch Journal: Med Sci Sports Exerc Date: 2009-07 Impact factor: 5.411