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LETTER TO THE EDITOR
The shear produced by hyperemic blood flow is proposed to be the most important mechanical stimuli that evokes the vasodilatory response (4). Given that the magnitude of the shear stimulus generated with reactive hyperemia is influenced by several factors and may vary among subjects, correcting (normalizing) the FMD for shear is imperative. Recently, Pyke and Tschakovsky (5) investigated the independent contributions of the shear stress profile following cuff release and proposed that the shear stimulus area under the curve (AUC) is the determinant of the peak FMD response. In essence, normalization of FMD to shear is accomplished by dividing FMD by shear (in this case shear AUC). For all intents and purposes this correction 1) is simple, 2) provides an arbitrary unit of measurement, 3) converts the endpoint value to a different scale that may be difficult to interpret, and 4) may not be the most appropriate method to control for the shear stress stimuli.
It is no surprise that there is a strong association between the shear stimulus and the vasodilatory response. In statistical terms, the ancillary information provided by shear is known as a concomitant variable or covariate. If in fact there is a modest correlation between the dependent variable (FMD) and the covariate (shear), the proper method to control FMD for shear is through an analysis of covariance (ANCOVA; Ref. 6). The three main uses of ANCOVA are to 1) lessen the effects of the covariate despite losing a statistical degree of freedom, 2) reduce the unexplained variability in the experimental design, and 3) improve power by incorporating the relationship of the dependent variable and the covariate (3), in this case FMD and shear, respectively. Specifically, the ANCOVA tests the differences in regression equations among levels of the independent variable (group and/or time). If either the slope or intercept of the general linear model are different among levels, the adjusted means will reflect the statistical removal of the covariate's (shear) influence on the dependent variable (FMD). Providing ANCOVA statistically controls for the shear effect on FMD, it may be the proper technique to normalize FMD for shear.
In conclusion, given that both FMD and shear stress data are routinely collected and that there undoubtedly exists a correlation between the two, we encourage investigators to, at the minimum, compare normalization of FMD (dividing by shear) vs. ANCOVA when performing FMD comparisons. As different interpretations of the data will arise between the two statistical solutions and since an abundance of studies use FMD, it is imperative at this time to understand this measurement dilemma.
FOOTNOTES
Address for reprint requests and other correspondence: R. A. Harris, Indiana Univ., Dept. of Kinesiology, School of Health Physical Education and Recreation Rm. 070, 1025 E. 7th St., Bloomington, IN 47404 (e-mail: harrisra{at}indiana.edu)
REFERENCES
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