Noninvasive Vascular Function Measurement in the Community

Author:

Schnabel Renate B.1,Schulz Andreas1,Wild Philipp S.1,Sinning Christoph R.1,Wilde Sandra1,Eleftheriadis Medea1,Herkenhoff Stephanie1,Zeller Tanja1,Lubos Edith1,Lackner Karl J.1,Warnholtz Ascan1,Gori Tommaso1,Blankenberg Stefan1,Münzel Thomas1

Affiliation:

1. From the Department of Medicine 2 (R.B.S., A.S., P.S.W., C.R.S., S.W., M.E., S.H., T.Z., E.L., A.W., T.G., S.B., T.F.M.) and Institute of Clinical Chemistry and Laboratory Medicine (K.J.L.), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany, and Department of General and Interventional Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (R.B.S., C.R.S., S.W., T.Z., E.L., S.B.).

Abstract

Background— Several methods of noninvasive vascular function testing have been suggested for cardiovascular risk screening in the community. A direct comparison of the different methods and their relation to classical cardiovascular risk factors in a large cohort is missing. Methods and Results— In 5000 individuals (mean age, 55.5±10.9 years; age range, 35 to 74 years; women, 49.2%) of the population-based Gutenberg Heart Study, we performed simultaneous measurement of flow-mediated dilation (FMD) and peripheral arterial volume pulse determined by infrared photo (reflection index) and pneumatic plethysmography (PAT) and explored their associations. All function measures were recorded at baseline and after reactive hyperemia induced by 5-minute brachial artery occlusion. Correlations between different measures of vascular function were statistically significant but moderate. The strongest association for hyperemic response variables was observed for PAT ratio and FMD (Spearman r =0.17; age- and sex-adjusted partial correlation, 0.068). Classical risk factors explained between 15.8% (baseline reflection index) and 58.4% (brachial artery diameter) of the baseline values but only accounted for 3.2% (reflection index), 15.4% (FMD), and 13.9% (PAT ratio) of the variability of reflective hyperemic response. Regression models varied in their relations to classical risk factors for the individual vascular function measures. Consistently associated with different vascular function methods were age, sex, body mass index, and indicators of hypertension. Peripheral tonometry also showed a relation to fasting glucose concentrations. Conclusions— Noninvasive measures of conduit artery and peripheral arterial function are modestly correlated, differ in their relation to classical cardiovascular risk factors, and may thus reflect different pathologies.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine,Radiology Nuclear Medicine and imaging

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