Association of ventricular premature complexes with electrocardiographic-estimated left ventricular mass in a population of African-American and white men and women (the atherosclerosis risk in communities [ARIC] study)

Ross J. Simpson, Wayne E. Cascio, Richard S. Crow, Pamela J Schreiner, Pentti M. Rautaharju, Gerardo Heiss

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Increased left ventricular (LV) mass is often found in adults and is a powerful predictor of cardiovascular mortality. To test the hypothesis that an electrocardiographic estimate of LV mass - the Cornell voltage - is associated with ventricular premature complexes (VPCs) in free-living adults, a cross-sectional analysis of the predictors of VPCs on a 2-minute rhythm strip in a population-based sample of 13,606 middle-aged, African-American and white men and women from 4 US communities in the Atherosclerosis Risk in Communities Study baseline examinations was performed. In adults without known coronary artery disease, the prevalence of VPCs increases monotonically with increasd Cornell voltages within ethnicity and gender groups. Independent of systemic hypertension, serum electrolytes, age, heart rate, educational attainment, gender, and ethnicity, a millivolt increase in Cornell voltage was associated with a 20% to 30% increase in the prevalence odds ratio of VPCs on the 2-minute electrocardiogram. Thus, Cornell voltage is associated with VPCs on a 2-minute electrocardiogram. The association is consistent in African-Americans, whites, men, and women.

Original languageEnglish (US)
Pages (from-to)49-53
Number of pages5
JournalAmerican Journal of Cardiology
Volume87
Issue number1
DOIs
StatePublished - Jan 1 2001

Fingerprint Dive into the research topics of 'Association of ventricular premature complexes with electrocardiographic-estimated left ventricular mass in a population of African-American and white men and women (the atherosclerosis risk in communities [ARIC] study)'. Together they form a unique fingerprint.

Cite this