Literature DB >> 19662337

Tissue plasminogen activator antigen predicts medium-term left ventricular end-systolic volume after acute myocardial infarction.

Robin A P Weir1, Sean Balmain, Tracey Steedman, Leong L Ng, Iain B Squire, Anne Rumley, Henry J Dargie, Gordon D O Lowe.   

Abstract

Von Willebrand factor (VWF) and tissue plasminogen activator (t-PA) predict adverse cardiovascular outcome following acute myocardial infarction (AMI) and are weakly associated with pre-discharge left ventricular ejection fraction (LVEF). We examined the relationships between VWF, t-PA antigen, matrix metalloproteinase (MMP)-2,-3, and -9, and B-type natriuretic peptide (BNP), and their predictive effect on serial change in LV volumes in a cohort of patients admitted with AMI. Plasma VWF, t-PA antigen, MMP-2,-3,-9, and BNP were measured at a mean 46 h after AMI in 100 patients (mean age 58.9 +/- 12 years, 77% male) with depressed LVEF. Cardiac magnetic resonance (CMR) imaging was then performed. Biomarker measurement and CMR were repeated at 12 and 24 weeks. Plasma concentrations of VWF, BNP and MMP-9 were elevated while t-PA antigen concentration was at the upper limits of normal; over 24 weeks VWF, t-PA antigen, MMP-9 and BNP decreased significantly. Baseline VWF correlated with BNP (r = 0.35, P < 0.001) and MMP-3 (r = 0.24, P = 0.019) as did t-PA antigen (r = 0.27, P = 0.007 for BNP; r = 0.40, P < 0.001 for MMP-3). t-PA antigen, VWF, MMP-3 and BNP were univariate predictors of LV end-systolic volume at 24 weeks; tPA antigen and BNP remained significant independent predictors on multivariate analysis. t-PA antigen and VWF are related to medium-term LV volumes after AMI, and to MMP-3. This novel link between the coagulation-fibrinolysis system and matrix turnover merits further study in understanding the pathophysiology of adverse ventricular remodeling after AMI.

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Year:  2010        PMID: 19662337     DOI: 10.1007/s11239-009-0383-6

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


  32 in total

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