Usefulness of ventricular premature complexes to predict coronary heart disease events and mortality (from the Atherosclerosis Risk In Communities cohort)
- PMID: 17145219
- DOI: 10.1016/j.amjcard.2006.06.061
Usefulness of ventricular premature complexes to predict coronary heart disease events and mortality (from the Atherosclerosis Risk In Communities cohort)
Abstract
The clinical relevance of ventricular premature complexes (VPCs) in apparently healthy patients is not clear and is typically not considered when evaluating risk. We conducted a prospective longitudinal study of the population-based Atherosclerosis Risk In Communities (ARIC) study of 15,070 Caucasians and African-Americans, 45 to 64 years of age, to assess the risks of coronary heart disease (CHD) events and mortality associated with VPCs among participants with and without prevalent CHD at baseline. VPCs on a single 2-minute electrocardiogram were identified in 940 participants (6.2%). After a follow-up of >10 years, 1,762 participants died, with 366 deaths related to CHD, and 1,736 had cardiac events. The percentage of participants with CHD mortality was >3 times greater for those with VPCs compared with those without VPCs. After controlling for cardiovascular risk factors and therapy with proportional hazards regression, participants with VPCs were >2 times as likely to die due to CHD than were those without VPCs. Increased risk was found for participants with and without baseline CHD. In conclusion, a clinical finding of VPCs on electrocardiography of even apparently healthy patients may warrant a heightened awareness of and attention to cardiovascular risk assessment and management.
Comment in
-
Comment on massing report on premature ventricular complexes and coronary artery disease: historical reflection.Am J Cardiol. 2007 Sep 1;100(5):911. doi: 10.1016/j.amjcard.2007.04.008. Epub 2007 Jun 8. Am J Cardiol. 2007. PMID: 17719346 No abstract available.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Molecular Biology Databases
