Journal
JOURNAL OF THROMBOSIS AND HAEMOSTASIS
Volume 10, Issue 8, Pages 1500-1507Publisher
WILEY
DOI: 10.1111/j.1538-7836.2012.04812.x
Keywords
atrial fibrillation; interleukin 6; risk stratification; troponin T
Categories
Funding
- Sociedad Espanola de Cardiologia
- (RECAVA) from ISCIII
- Beca Cajamurcia-FFIS
- ISCIII [PI11/1256]
- Bayer
- Bristol-Myers-Squibb
- Boehringer Ingelheim
- Astra Zeneca
- Astellas
- Sanofi-Aventis
- Daiichi-Sankyo
- [RD06/0014/039]
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. There are limited data on the prognostic role of biomarkers in anticoagulated patients with atrial fibrillation (AF). We evaluated the prognostic value of high sensitivity TnT (hsTnT) and high-sensitivity interleukin-6 (hsIL6) in a large cohort of AF patients taking oral anticoagulant therapy (OAC) as both biomarkers have been associated with adverse cardiovascular events. Methods: We studied 930 patients (51% male; median age 76) with permanent/ paroxysmal AF who were stabilized (for at least 6 months) on OAC (INRs 2.03.0). Plasma hsTnT and hsIL6 levels were quantified by electrochemiluminescense immunoassay at baseline. Patients were followed-up for up to 2 years, and adverse events (thrombotic and vascular events, mortality and major bleeding) were recorded. Results: At follow-up, 96 patients (3.97%/year) died whilst 107 had an adverse cardiovascular event (3.14%/year). On multivariate analysis, high hsTnT and high hsIL6 remained significantly associated with prognosis even after adjusting for CHADS2 score: HR 2.21 (1.463.35, P < 0.001) for high hsTnT and 1.97 (1.293.02, P = 0.002) for high hsIL6, for adverse cardiovascular events. For all-cause mortality, the HRs were 1.79 (1.132.83, P = 0.013) and 2.48 (1.603.85, P < 0.001), respectively. The integrated discrimination index (IDI) values of clinical scores (CHADS2 and CHA2DS2-VASc) were improved by the addition of hsTnT and/or hsIL6 (all P < 0.05). Conclusion: In a large real world cohort of anticoagulated AF patients, both hsTnT and hsIL6 levels provided prognostic information that was complementary to clinical risk scores for prediction of long-term cardiovascular events and death, suggesting that these biomarkers may potentially be used to refine clinical risk stratification in AF.
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