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• TITLE: High Sensitivity CRP Predicts Long-Term Mortality in Patients with Atrial Fibrillation and Evident Acute Coronary Syndrome

  AUTHORS: Christoph Liebetrau Liebetrau, Luise Gaede, Sebastian Szardien, Johannes Rixe, Oliver Doerr, Matthias Willmer, Michael Weber, Andreas Rolf, Helge Möllmann, Albrecht Elsässer, Christian Hamm, Holger Nef

  KEYWORDS: Acute Coronary Syndrome; Atrial Fibrillation; Risk Stratification; High-Sensitivity CRP

  JOURNAL NAME: International Journal of Clinical Medicine, Vol.4 No.3, March 18, 2013

  ABSTRACT: Background: Atrial fibrillation (AF) is a frequent arrhythmia associated with an adverse prognostic value in patients with ACS. Risk stratification as well as diagnosis of ACS is strongly supported by biomarkers. High sensitivity CRP (hs-CRP) is known to be elevated in patients presenting with ACS as well as with AF.Methods: In total, 2034 consecutive patients with an ACS were analysed. The incidence of AF in the setting of ACS, the prognostic value of hs-CRP and the clinical outcome within 6 months were subject of the study. Death after 6 months was considered as primary endpoint. Results: The frequency of AF among patients admitted with suspected ACS was 124 (6.1%). During 6-month follow-up the mortality rate among patients with AF was significantly higher (20 [16.1%] vs 133 [6.9%]; log-rank 13.72; p 0.001) compared to patients without AF. Cox regression analysis revealed an increased risk for ACS patients with AF with an adjusted HR of 2.63 (95% CI 1.48 - 3.78; p 0.001). Patients with AF showed significant higher levels of hs-CRP than patients without AF (6.01mg/dl IQR [1.7 - 17.8] vs 3.3mg/dl IQR [1.37 - 9.83]; p = 0.003). By the use of multivariate Cox regression analysis, risk of mortality was higher when AF patients had higher concentrations of hs-CRP (HR 1.076; 95% CI 1.02 - 1.13; p = 0.002).Conclusions: AF is a strong and independent indicator for increased mortality in patients presenting with ACS. hs-CRP predicts mortality in AF patients and should be considered for risk stratification in clinical routine.