Literature DB >> 34508626

Atherothrombotic factors and atherosclerotic cardiovascular events: the multi-ethnic study of atherosclerosis.

Andrew P DeFilippis1, Patrick J Trainor2, George Thanassoulis3, Lyndia C Brumback4, Wendy S Post5, Michael Y Tsai6, Sotirios Tsimikas7.   

Abstract

AIMS: Traditional atherosclerotic cardiovascular disease (ASCVD) risk factors fail to address the full spectrum of the complex interplay of atherosclerotic and atherothrombotic factors integral to ASCVD events. This study sought to examine the association between atherothrombotic biomarkers and ASCVD events. METHODS AND
RESULTS: The association between atherothrombotic biomarkers and 877 ASCVD events with and without adjustment for traditional risk factors was evaluated via Cox proportional hazards models and factor analysis in 5789 Multi-Ethnic Study of Atherosclerosis participants over a median follow-up of 14.7 years. Factor analysis accounted for multidimensional relationship and shared variance among study biomarkers, which identified two new variables: a thrombotic factor (Factor 1), principally defined by shared variance in fibrinogen, plasmin-antiplasmin complex, factor VIII, D-dimer, and lipoprotein(a), and a fibrinolytic factor (Factor 2), principally defined by shared variance of plasminogen and oxidized phospholipids on plasminogen. In a model including both factors, the thrombotic factor was associated with the higher risk of ASCVD events [hazard ratio (HR) 1.57, 95% confidence interval (CI) 1.45, 1.70], while the fibrinolytic factor was associated with the lower risk of ASCVD events (HR 0.76, 95% CI 0.70, 0.82), with estimated ASCVD free survival highest for low atherothrombotic Factor 1 and high atherothrombotic Factor 2.
CONCLUSION: Two atherothrombotic factors, one representative of thrombotic propensity and the other representative of fibrinolytic propensity, were significantly and complementarily associated with incident ASCVD events, remained significantly associated with incident ASCVD after controlling for traditional risk factors, and have promise for identifying patients at high ASCVD event risk specifically due to their atherothrombotic profile. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Atherosclerotic cardiovascular disease; Atherothrombosis; Factor analysis; Fibrinolysis; Risk prediction

Mesh:

Substances:

Year:  2022        PMID: 34508626      PMCID: PMC8899529          DOI: 10.1093/eurheartj/ehab600

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   35.855


  40 in total

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Authors:  S van Buuren; H C Boshuizen; D L Knook
Journal:  Stat Med       Date:  1999-03-30       Impact factor: 2.373

2.  Multiple imputation of discrete and continuous data by fully conditional specification.

Authors:  Stef van Buuren
Journal:  Stat Methods Med Res       Date:  2007-06       Impact factor: 3.021

Review 3.  Myocardial Infarction as a Clinical End Point in Research.

Authors:  Andrew P DeFilippis; Khurram Nasir; Michael J Blaha
Journal:  Circ Res       Date:  2019-06-06       Impact factor: 17.367

4.  Evaluation of the value of rapid D-dimer test in conjunction with cardiac troponin I test for early risk stratification of myocardial infarction.

Authors:  Shy-Shin Chang; Si-Huei Lee; Jiunn-Yih Wu; Hsiao-Chen Ning; Te-Fa Chiu; Feng-Lin Wang; Jung Hsiang Chen; Chih-Huang Li; Chien-Chang Lee; Rai-Chi Chan
Journal:  J Thromb Thrombolysis       Date:  2010-11       Impact factor: 2.300

5.  Factor analysis by minimizing residuals (minres).

Authors:  H H Harman; W H Jones
Journal:  Psychometrika       Date:  1966-09       Impact factor: 2.500

6.  Fibrinolytic activation markers predict myocardial infarction in the elderly. The Cardiovascular Health Study.

Authors:  M Cushman; R N Lemaitre; L H Kuller; B M Psaty; E M Macy; A R Sharrett; R P Tracy
Journal:  Arterioscler Thromb Vasc Biol       Date:  1999-03       Impact factor: 8.311

7.  Fibrinogen as a cardiovascular risk factor: a meta-analysis and review of the literature.

Authors:  E Ernst; K L Resch
Journal:  Ann Intern Med       Date:  1993-06-15       Impact factor: 25.391

8.  Interleukin-6, fibrin D-dimer, and coagulation factors VII and XIIa in prediction of coronary heart disease.

Authors:  Gordon D O Lowe; Ann Rumley; Alex D McMahon; Ian Ford; Denis St J O'Reilly; Christopher J Packard
Journal:  Arterioscler Thromb Vasc Biol       Date:  2004-06-17       Impact factor: 8.311

9.  Multi-Ethnic Study of Atherosclerosis: objectives and design.

Authors:  Diane E Bild; David A Bluemke; Gregory L Burke; Robert Detrano; Ana V Diez Roux; Aaron R Folsom; Philip Greenland; David R Jacob; Richard Kronmal; Kiang Liu; Jennifer Clark Nelson; Daniel O'Leary; Mohammed F Saad; Steven Shea; Moyses Szklo; Russell P Tracy
Journal:  Am J Epidemiol       Date:  2002-11-01       Impact factor: 4.897

10.  Prediction of Recurrent Events by D-Dimer and Inflammatory Markers in Patients with Normal Cardiac Troponin I (PREDICT) Study.

Authors:  Ian B A Menown; Thomas P Mathew; Helen M Gracey; G Selby Nesbitt; Pamela Murray; Ian S Young; A A Jennifer Adgey
Journal:  Am Heart J       Date:  2003-06       Impact factor: 4.749

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