PROGNOSTIC VALUE OF CTA IN SMOKERS AND NON-SMOKERS

PROGNOSTIC VALUE OF CTA IN SMOKERS AND NON-SMOKERS

A69.E652 JACC March 9, 2010 Volume 55, issue 10A IMAGING AND DIAGNOSTIC TESTING PROGNOSTIC VALUE OF CTA IN SMOKERS AND NON-SMOKERS ACC Poster Contrib...

64KB Sizes 0 Downloads 41 Views

A69.E652 JACC March 9, 2010 Volume 55, issue 10A

IMAGING AND DIAGNOSTIC TESTING PROGNOSTIC VALUE OF CTA IN SMOKERS AND NON-SMOKERS ACC Poster Contributions Georgia World Congress Center, Hall B5 Sunday, March 14, 2010, 9:30 a.m.-10:30 a.m.

Session Title: Prognostic Value of CCTA Abstract Category: CT Coronary Angiography Presentation Number: 1036-220 Authors: Jaap M. Van Werkhoven, Joanne D. Schuijf, Aju Pazhenkottil, Bernard A. Herzog, J Wouter Jukema, Eric Boersma, Ernst E. Van der Wall, Philipp Kaufman, Jeroen J. Bax, Leiden University Medical Center, Leiden, The Netherlands, University Hospital Zurich, Zurich, Switzerland Background: Smoking is an important risk factor for coronary artery disease (CAD). Using computed tomography coronary angiography (CTA), the presence of CAD can be assessed non-invasively. The purpose of the current study was to determine the prognostic value of CTA in smokers and nonsmokers with suspected or known CAD. Methods: In 1306 patients (58% male, age 57±12 years) referred for further cardiac evaluation with CTA, the following events were recorded: all cause mortality, and non-fatal infarction. The predictive value of CTA in smokers and non-smokers was compared using an interaction term in the Cox proportional hazard regression analysis. Results: In total 323 patients (25%) were smokers. CTA detected significant CAD (>50% luminal narrowing) in 417 (32%) patients. During an average follow-up of 849±380 days, an event occurred in 57 (4.4%) patients. In smokers without significant CAD (n=179), as well as in non-smokers without significant CAD (n=710) the event rate was 2%. The event rate was increased in smokers with significant CAD 17% (n=144), compared to 4% in non-smokers with significant CAD (n=273). After correction for baseline characteristics in a multivariate model, CTA and smoking both emerged as independent predictors of events. Furthermore, a significant interaction was observed between CTA and smoking. Conclusions: The predictive value of significant CAD on CTA was significantly higher in smokers compared to non-smokers.