Augmentation index derived from peripheral arterial tonometry correlates with cardiovascular risk factors

Eshan Patvardhan, Kevin S. Heffernan, Jenny Ruan, Michael Hession, Patrick Warner, Richard H. Karas, Jeffrey T. Kuvin

Research output: Contribution to journalArticle

50 Scopus citations

Abstract

Background. Augmentation index (AIx) is traditionally obtained from pressure waveforms via arterial applanation tonometry. We sought to evaluate the association between AIx obtained from peripheral arterial tonometry (PAT) with cardiovascular risk factors (CRF) and coronary artery disease (CAD). Methods. 186 patients were enrolled in the study. The presence or absence of CRFs and CAD was assessed in each subject. AIx was calculated by an automated algorithm averaging pulse wave amplitude data obtained via PAT. Central blood pressures were assessed in a subset of patients undergoing clinically indicated cardiac catheterization. Results. An association was observed between AIx and age, heart rate, systolic blood pressure, mean arterial pressure, pulse pressure, body weight and body mass index. AIx was significantly lower in patients with <3 CRFs compared to those with >5 CRFs (P =.02). CAD+ patients had significantly higher AIx compared to CAD- patients (P =.008). Area under the ROC curve was 0.604 (P <.01). In patients undergoing cardiac catheterization, after adjusting for age, height and heart rate, AIx was a significant predictor of aortic systolic and pulse pressures (P <.05) Conclusion. AIx derived from PAT correlates with cardiac risk factors and CAD. It may be a useful measure of assessing overall risk for coronary artery disease.

Original languageEnglish (US)
Article number253758
JournalCardiology Research and Practice
Volume1
Issue number1
DOIs
StatePublished - Sep 16 2011
Externally publishedYes

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of 'Augmentation index derived from peripheral arterial tonometry correlates with cardiovascular risk factors'. Together they form a unique fingerprint.

  • Cite this