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Papers on Radial AI

Radial Augmentation Index: A Useful and Easily Obtainable Parameter for Vascular Aging
Katsuhiko Kohara, Yasuharu Tabara, Akira Oshiumi, Yoshinori Miyawaki, Tatsuya Kobayashi, and Tetsuro Miki
DOI: 10.1161/01.CIR.0000105767.94169.E3

Background: It has been shown that the systolic augmentation index (AI) in the central arteries, including the aorta and carotid arteries, changes with age. The AI can also be obtained from the peripheral arteries. The possible usefulness of AI obtained from the radial artery as an index for vascular aging was investigated.


Determinants of Radial Artery Pulse
Wave Analysis in Asymptomatic Individuals

Daniel A. Duprez, Daniel R. Kaiser, Wayne Whitwam, Stanley Finkelstein, Andres Belalcazar, Robert Patterson, Stephen Glasser, and Jay N. Cohn

Background: Noninvasive techniques to evaluate arterial stiffness include noninvasive radial artery pulse contour analysis. Diastolic pulse contour analysis provides a separate assessment of large (C1) and small artery (C2) elasticity. Analysis of the systolic pulse contour identifies two pressure peaks (P1 and P2) that relate to incident and reflected waves. This study aimed to compare indices from systolic and diastolic pulse contour analysis from the radial pressure waveform and to correlate these indices with traditional risk factors in asymptomatic individuals screened for cardiovascular disease.


Augmentation Index in Heart Disease
Kenji Takazawa

New techniques for the evaluation of specific components of blood pressure waveforms have been shown to have broad applications in cardiology. One of the more useful parameters of pressure wave analysis is the augmentation index (AI), which measures the interaction of the forward pressure wave with reflected waves from the distal circulation. Analysis of AI and associated wave functions show differences related to cardiac risk, the presence of disease, and the effects of drug administration. The AI can provide useful additional information in the evaluation of high-risk populations and is a useful research tool in evaluating drug and treatment effects. New techniques have allowed AI to become more widely available and current measurements are convenient and reliable. Am J Hypertens 2005;18: 15S–18S © 2005 American Journal of Hypertension, Ltd.


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