INTRODUCTION: Atrial fibrillation (AF) is associated not only with inflammation but also with structural remodelling and altered endothelial activation which may contribute to clot formation, embolization and mortality. We aimed to determine the predictive value of single-time biomarker analysis for prediction of outcome in patients with AF. METHODS AND RESULTS: We conducted a prospective study to evaluate if biomarkers of structural, electrical or endothelial remodelling are predictive of cardiovascular events (composite primary endpoint of myocardial infarction, stroke, peripheral embolism or death). Secondary endpoint was all-cause mortality. Patients with any type of AF and without active inflammatory conditions were eligible. Plasma samples were collected for ELISA analysis of biomarkers (inflammation [hsCRP, sCD40L], structural [MMP-2] and endothelial remodelling [vWF, sVCAM-1]) at enrolment. Patients (n = 278) were followed for 28 ± 12 (median 32) months. Eighty-eight individuals (32%) experienced a primary outcome event, including 8 (2.9%) with myocardial infarction, 13 (4.8%) with stroke and 4 (1.5%) with peripheral embolism. Predictors of the primary endpoint were age >75 years, CHADS(2)-score >2, LVEF <35%, diabetes, presence of an ICD/pacemaker, elevated vWF, sVCAM-1 and MMP-2 levels. On multivariate regression analysis, only age >75 years, sVCAM-1 and MMP-2 levels remained independently associated with the endpoint. There were 75 deaths during follow-up. Age >75 years, reduced LVEF, elevated sVCAM-1 and MMP-2 levels were predictors of all-cause mortality. CONCLUSION: In this cohort of AF patients, old age, elevated sVCAM-1 and MMP-2 levels were associated with cardiovascular events. Our data indicate that single-time biomarker assessment may be a useful tool to improve risk stratification schemes.
INTRODUCTION:Atrial fibrillation (AF) is associated not only with inflammation but also with structural remodelling and altered endothelial activation which may contribute to clot formation, embolization and mortality. We aimed to determine the predictive value of single-time biomarker analysis for prediction of outcome in patients with AF. METHODS AND RESULTS: We conducted a prospective study to evaluate if biomarkers of structural, electrical or endothelial remodelling are predictive of cardiovascular events (composite primary endpoint of myocardial infarction, stroke, peripheral embolism or death). Secondary endpoint was all-cause mortality. Patients with any type of AF and without active inflammatory conditions were eligible. Plasma samples were collected for ELISA analysis of biomarkers (inflammation [hsCRP, sCD40L], structural [MMP-2] and endothelial remodelling [vWF, sVCAM-1]) at enrolment. Patients (n = 278) were followed for 28 ± 12 (median 32) months. Eighty-eight individuals (32%) experienced a primary outcome event, including 8 (2.9%) with myocardial infarction, 13 (4.8%) with stroke and 4 (1.5%) with peripheral embolism. Predictors of the primary endpoint were age >75 years, CHADS(2)-score >2, LVEF <35%, diabetes, presence of an ICD/pacemaker, elevated vWF, sVCAM-1 and MMP-2 levels. On multivariate regression analysis, only age >75 years, sVCAM-1 and MMP-2 levels remained independently associated with the endpoint. There were 75 deaths during follow-up. Age >75 years, reduced LVEF, elevated sVCAM-1 and MMP-2 levels were predictors of all-cause mortality. CONCLUSION: In this cohort of AFpatients, old age, elevated sVCAM-1 and MMP-2 levels were associated with cardiovascular events. Our data indicate that single-time biomarker assessment may be a useful tool to improve risk stratification schemes.
Authors: Hua Cai; Zongming Li; Andreas Goette; Fernando Mera; Clegg Honeycutt; Kristian Feterik; Josiah N Wilcox; Samuel C Dudley; David G Harrison; Jonathan J Langberg Journal: Circulation Date: 2002-11-26 Impact factor: 29.690
Authors: Carl van Walraven; Robert G Hart; George A Wells; Palle Petersen; Peter J Koudstaal; Annette L Gullov; Beppie S P Hellemons; Birgitte G Koefed; Andreas Laupacis Journal: Arch Intern Med Date: 2003-04-28
Authors: Andreas Goette; Alicja Bukowska; Uwe Lendeckel; Michaela Erxleben; Matthias Hammwöhner; Denis Strugala; Jan Pfeiffenberger; Friedrich-Wilhelm Röhl; Christof Huth; Matthias P A Ebert; Helmut U Klein; Christoph Röcken Journal: Circulation Date: 2008-01-28 Impact factor: 29.690
Authors: Reza Wakili; Sebastian Clauss; Viola Schmidt; Michael Ulbrich; Anton Hahnefeld; Franziska Schüssler; Johannes Siebermair; Stefan Kääb; Heidi L Estner Journal: Clin Res Cardiol Date: 2013-10-06 Impact factor: 5.460
Authors: Jeffrey J Goldberger; Rishi Arora; David Green; Philip Greenland; Daniel C Lee; Donald M Lloyd-Jones; Michael Markl; Jason Ng; Sanjiv J Shah Journal: Circulation Date: 2015-07-28 Impact factor: 29.690
Authors: Nelson Jen; Fei Yu; Juhyun Lee; Steve Wasmund; Xiaohu Dai; Christina Chen; Pai Chawareeyawong; Yongmo Yang; Rongsong Li; Mohamed H Hamdan; Tzung K Hsiai Journal: Biomech Model Mechanobiol Date: 2012-09-15
Authors: Karin Willeit; Raimund Pechlaner; Peter Willeit; Philipp Skroblin; Bernhard Paulweber; Christiana Schernthaner; Thomas Toell; Georg Egger; Siegfried Weger; Martin Oberhollenzer; Ludmilla Kedenko; Bernhard Iglseder; Enzo Bonora; Georg Schett; Manuel Mayr; Johann Willeit; Stefan Kiechl Journal: JAMA Cardiol Date: 2017-05-01 Impact factor: 14.676