OBJECTIVES: The objective of this study was to determine the prognostic value of C-reactive protein (CRP) independent of coronary angiographic findings. BACKGROUND: High sensitivity CRP, a marker of inflammation, predicts risk of cardiovascular events. However, it is uncertain whether it remains predictive once angiographic findings are considered. METHODS: A total of 2,554 patients with angina but without acute myocardial infarction (MI) were studied angiographically; 1,848 patients had coronary artery disease (CAD) and 706 patients did not. Coronary artery disease was quantified in five ways and combined for a CAD score. C-reactive protein was measured and patients were followed for up to five years for death or MI. RESULTS: C-reactive protein correlated with the extent of CAD, but correlation coefficients were low (0.02 to 0.08). Of angiographic measures, the CAD score best predicted future events (hazard ratio [HR] = 1.8 [1.2 to 2.6], p = 0.004, for CAD score > 4). C-reactive protein > or = 1.0 mg/dl was predictive in both patients without CAD (HR = 2.3 [0.9 to 5.5], p = 0.07) and with CAD (HR = 2.1 [1.5 to 3.1], p = 0.0001). Multivariate adjustment resulted in little change in HR. C-reactive protein retained predictive value within each quintile of CAD score. C-reactive protein and CAD independently and additively contributed to the risk prediction: low CRP and lowest CAD score was associated with lowest risk, and high CRP and highest CAD score was associated with the highest risk, with a 10-fold difference between extremes (2.5% vs. 24%). CONCLUSIONS: C-reactive protein correlates with extent of CAD, but the degree of correlation is low. Severity/extent of CAD and CRP are independent and additive predictors of risk. Therapy should target CRP-associated risk as well as angiographically evident stenosis.
OBJECTIVES: The objective of this study was to determine the prognostic value of C-reactive protein (CRP) independent of coronary angiographic findings. BACKGROUND: High sensitivity CRP, a marker of inflammation, predicts risk of cardiovascular events. However, it is uncertain whether it remains predictive once angiographic findings are considered. METHODS: A total of 2,554 patients with angina but without acute myocardial infarction (MI) were studied angiographically; 1,848 patients had coronary artery disease (CAD) and 706 patients did not. Coronary artery disease was quantified in five ways and combined for a CAD score. C-reactive protein was measured and patients were followed for up to five years for death or MI. RESULTS:C-reactive protein correlated with the extent of CAD, but correlation coefficients were low (0.02 to 0.08). Of angiographic measures, the CAD score best predicted future events (hazard ratio [HR] = 1.8 [1.2 to 2.6], p = 0.004, for CAD score > 4). C-reactive protein > or = 1.0 mg/dl was predictive in both patients without CAD (HR = 2.3 [0.9 to 5.5], p = 0.07) and with CAD (HR = 2.1 [1.5 to 3.1], p = 0.0001). Multivariate adjustment resulted in little change in HR. C-reactive protein retained predictive value within each quintile of CAD score. C-reactive protein and CAD independently and additively contributed to the risk prediction: low CRP and lowest CAD score was associated with lowest risk, and high CRP and highest CAD score was associated with the highest risk, with a 10-fold difference between extremes (2.5% vs. 24%). CONCLUSIONS:C-reactive protein correlates with extent of CAD, but the degree of correlation is low. Severity/extent of CAD and CRP are independent and additive predictors of risk. Therapy should target CRP-associated risk as well as angiographically evident stenosis.
Authors: Steven Rosenberg; Michael R Elashoff; Philip Beineke; Susan E Daniels; James A Wingrove; Whittemore G Tingley; Philip T Sager; Amy J Sehnert; May Yau; William E Kraus; L Kristin Newby; Robert S Schwartz; Szilard Voros; Stephen G Ellis; Naeem Tahirkheli; Ron Waksman; John McPherson; Alexandra Lansky; Mary E Winn; Nicholas J Schork; Eric J Topol Journal: Ann Intern Med Date: 2010-10-05 Impact factor: 25.391
Authors: Mary S Beattie; Michael G Shlipak; Haiying Liu; Warren S Browner; Nelson B Schiller; Mary A Whooley Journal: Circulation Date: 2003-01-21 Impact factor: 29.690
Authors: Olivier Gach; Olivier Louis; Jean Paul Chapelle; Sophie Vanbelle; Luc A Pierard; Victor Legrand Journal: Heart Vessels Date: 2009-07-22 Impact factor: 2.037
Authors: Peter R Sinnaeve; Mark P Donahue; Peter Grass; David Seo; Jacky Vonderscher; Salah-Dine Chibout; William E Kraus; Michael Sketch; Charlotte Nelson; Geoffrey S Ginsburg; Pascal J Goldschmidt-Clermont; Christopher B Granger Journal: PLoS One Date: 2009-09-14 Impact factor: 3.240