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      Methodological Approaches to Optimize Reproducibility and Power in Clinical Studies of Flow-Mediated Dilation

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          Abstract

          Our aim was to determine reproducibility of the flow-mediated dilation (FMD) response profile, and discriminatory ability of the components. Brachial FMD is widely used to study conduit artery endothelial function. Automated B-mode image edge detection (B-ED) provides a full response profile. Reproducibility and biological relevance of these additional components have not been fully explored. Forty-two healthy adults underwent FMD using B-ED repeated at fixed time intervals up to 3 months. The FMD profile was assessed for diameter changes, area under the curve, and time course. Measures were compared in 25 adults with hypercholesterolemia, 25 subjects with diabetes, and 50 matched control subjects. The maximum change in FMD was the most reproducible (coefficient of variation = 9.8%, 10.6%, 6.6%, and 9.2% at 4 to 6 h, 1 week, 1 month, and 3 months, respectively). Most of the variability occurred between subjects rather than within. All FMD measures except time course were significantly reduced in hypercholesterolemia and diabetes. Power curves were generated to indicate the appropriate number of subjects for parallel and crossover study designs. Maximum FMD percentage change from baseline is the most reproducible of the response curve measures and best identifies those with risk factors. Flow-mediated dilation measured by B-ED is robust and practical to assess the effect of interventions on endothelial function in clinical trials.

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          Author and article information

          Journal
          Journal of the American College of Cardiology
          Journal of the American College of Cardiology
          Elsevier BV
          07351097
          May 2008
          May 2008
          : 51
          : 20
          : 1959-1964
          Article
          10.1016/j.jacc.2008.02.044
          18482664
          fb56360e-577b-4d13-8547-0bf6d74a169c
          © 2008

          https://www.elsevier.com/tdm/userlicense/1.0/

          https://www.elsevier.com/open-access/userlicense/1.0/

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