Cohort profile of BIOMArCS: the BIOMarker study to identify the Acute risk of a Coronary Syndrome—a prospective multicentre biomarker study conducted in the Netherlands

Purpose Progression of stable coronary artery disease (CAD) towards acute coronary syndrome (ACS) is a dynamic and heterogeneous process with many intertwined constituents, in which a plaque destabilising sequence could lead to ACS within short time frames. Current CAD risk assessment models, however, are not designed to identify increased vulnerability for the occurrence of coronary events within a precise, short time frame at the individual patient level. The BIOMarker study to identify the Acute risk of a Coronary Syndrome (BIOMArCS) was designed to evaluate whether repeated measurements of multiple biomarkers can predict such ‘vulnerable periods’. Participants BIOMArCS is a multicentre, prospective, observational study of 844 patients presenting with ACS, either with or without ST-elevation and at least one additional cardiovascular risk factor. Methods and analysis We hypothesised that patterns of circulating biomarkers that reflect the various pathophysiological components of CAD, such as distorted lipid metabolism, vascular inflammation, endothelial dysfunction, increased thrombogenicity and ischaemia, diverge in the days to weeks before a coronary event. Divergent biomarker patterns, identified by serial biomarker measurements during 1-year follow-up might then indicate ‘vulnerable periods’ during which patients with CAD are at high short-term risk of developing an ACS. Venepuncture was performed every fortnight during the first half-year and monthly thereafter. As prespecified, patient enrolment was terminated after the primary end point of cardiovascular death or hospital admission for non-fatal ACS had occurred in 50 patients. A case–cohort design will explore differences in temporal patterns of circulating biomarkers prior to the repeat ACS. Future plans and dissemination Follow-up and event adjudication have been completed. Prespecified biomarker analyses are currently being performed and dissemination through peer-reviewed publications and conference presentations is expected from the third quarter of 2016. Should identification of a ‘vulnerable period’ prove to be feasible, then future research could focus on event reduction through pharmacological or mechanical intervention during such periods of high risk for ACS. Trial registration number NTR1698 and NTR1106.

[1]  Patrick W Serruys,et al.  PCSK9 in relation to coronary plaque inflammation: Results of the ATHEROREMO-IVUS study. , 2016, Atherosclerosis.

[2]  P. Serruys,et al.  High-sensitivity Troponin T in relation to coronary plaque characteristics in patients with stable coronary artery disease; results of the ATHEROREMO-IVUS study. , 2016, Atherosclerosis.

[3]  P. Serruys,et al.  Plasma concentrations of molecular lipid species in relation to coronary plaque characteristics and cardiovascular outcome: Results of the ATHEROREMO-IVUS study. , 2015, Atherosclerosis.

[4]  R. Krauss,et al.  Proprotein convertase subtilisin/kexin type 9 inhibition: a new therapeutic mechanism for reducing cardiovascular disease risk. , 2015, Circulation.

[5]  M. Mayr,et al.  Novel methodologies for biomarker discovery in atherosclerosis. , 2015, European heart journal.

[6]  Deepak L. Bhatt,et al.  Troponin and Cardiac Events in Stable Ischemic Heart Disease and Diabetes. , 2015, The New England journal of medicine.

[7]  J. Leipsic,et al.  Do plaques rapidly progress prior to myocardial infarction? The interplay between plaque vulnerability and progression. , 2015, Circulation research.

[8]  P. Serruys,et al.  Von Willebrand factor in relation to coronary plaque characteristics and cardiovascular outcome , 2015, Thrombosis and Haemostasis.

[9]  A. Frigo,et al.  Galectin-3 Predicts Long-Term Cardiovascular Death in High-Risk Patients With Coronary Artery Disease , 2015, Arteriosclerosis, thrombosis, and vascular biology.

[10]  P. Serruys,et al.  Circulating acute phase proteins in relation to extent and composition of coronary atherosclerosis and cardiovascular outcome: results from the ATHEROREMO-IVUS study. , 2014, International journal of cardiology.

[11]  P. Serruys,et al.  Relation of C-reactive protein to coronary plaque characteristics on grayscale, radiofrequency intravascular ultrasound, and cardiovascular outcome in patients with acute coronary syndrome or stable angina pectoris (from the ATHEROREMO-IVUS study). , 2014, The American journal of cardiology.

[12]  P. Serruys,et al.  Circulating chemokines in relation to coronary plaque characteristics on radiofrequency intravascular ultrasound and cardiovascular outcome , 2014, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.

[13]  P. Serruys,et al.  Circulating cytokines in relation to the extent and composition of coronary atherosclerosis: results from the ATHEROREMO-IVUS study. , 2014, Atherosclerosis.

[14]  Evelyn Regar,et al.  In vivo detection of high-risk coronary plaques by radiofrequency intravascular ultrasound and cardiovascular outcome: results of the ATHEROREMO-IVUS study. , 2014, European heart journal.

[15]  Pierre Coste,et al.  Should patients with acute coronary disease be stratified for management according to their risk? Derivation, external validation and outcomes using the updated GRACE risk score , 2014, BMJ Open.

[16]  R. D. de Boer,et al.  Increased soluble ST2 predicts long-term mortality in patients with stable coronary artery disease: results from the Ludwigshafen risk and cardiovascular health study. , 2014, Clinical chemistry.

[17]  P. Serruys,et al.  Near-infrared spectroscopy predicts cardiovascular outcome in patients with coronary artery disease. , 2014, Journal of the American College of Cardiology.

[18]  E. Boersma,et al.  Tools and techniques--statistics: how many variables are allowed in the logistic and Cox regression models? , 2014, EuroIntervention.

[19]  M. Kleber,et al.  Increased Soluble ST 2 Predicts Long-term Mortality in Patients with Stable Coronary Artery Disease : Results from the Ludwigshafen Risk and Cardiovascular Health Study , 2014 .

[20]  W. März,et al.  High-sensitivity cardiac troponin T and N-terminal pro-B-type natriuretic peptide predict mortality in stable coronary artery disease: results from the Ludwigshafen Risk and Cardiovascular Health (LURIC) study , 2013, Clinical chemistry and laboratory medicine.

[21]  Maral Saadati,et al.  Joint Models for Longitudinal and Time-to-Event Data with Applications in R. Dimitris Rizopoulos (2012). Boca Raton: Chapman & Hall/CRC Texts in Statistical Science Series. 261 pages, ISBN: 978-1439872864. , 2013 .

[22]  W. März,et al.  Cystatin C is independently associated with total and cardiovascular mortality in individuals undergoing coronary angiography. The Ludwigshafen Risk and Cardiovascular Health (LURIC) study. , 2013, Atherosclerosis.

[23]  J. Tardif,et al.  Effects of the P-selectin antagonist inclacumab on myocardial damage after percutaneous coronary intervention for non-ST-segment elevation myocardial infarction: results of the SELECT-ACS trial. , 2013, Journal of the American College of Cardiology.

[24]  J. Eikelboom,et al.  Low-dose colchicine for secondary prevention of cardiovascular disease. , 2013, Journal of the American College of Cardiology.

[25]  P. Ridker Closing the loop on inflammation and atherothrombosis: why perform the CIRT and CANTOS trials? , 2013, Transactions of the American Clinical and Climatological Association.

[26]  P. Serruys,et al.  Lipoprotein(a), Interleukin‐10, C‐Reactive Protein, and 8‐Year Outcome After Percutaneous Coronary Intervention , 2012, Clinical cardiology.

[27]  D. Rizopoulos Event Time Event Time , 2012 .

[28]  Patrik Magnusson,et al.  American Journal of Epidemiology Practice of Epidemiology Risk Prediction Measures for Case-cohort and Nested Case-control Designs: an Application to Cardiovascular Disease , 2022 .

[29]  C. Heeschen,et al.  Multimarker risk model containing troponin-T, interleukin 10, myeloperoxidase and placental growth factor predicts long-term cardiovascular risk after non-ST-segment elevation acute coronary syndrome , 2010, Heart.

[30]  G. Hankey,et al.  New Drugs and Technologies , 2011 .

[31]  James A Brink,et al.  Traditional clinical risk assessment tools do not accurately predict coronary atherosclerotic plaque burden: a CT angiography study. , 2009, AJR. American journal of roentgenology.

[32]  E. Boersma,et al.  Tailor-made therapy for the prevention of acute coronary syndromes: future role of biomarkers in risk stratification and disease management , 2008, Expert Review of Cardiovascular Therapy.

[33]  R. Macfadyen,et al.  Developing the utility of blood biomarker associations beyond population sample linkage to events in cardiovascular patients. , 2008, European heart journal.

[34]  Diederick E. Grobbee,et al.  Clinical Epidemiology: Principles, Methods, and Applications for Clinical Research , 2008 .

[35]  A. Wal Coronary artery pathology , 2007, Heart.

[36]  V. Fuster,et al.  Gene therapy and stem cell therapy for cardiovascular diseases today: a model for translational research , 2007, Nature Clinical Practice Cardiovascular Medicine.

[37]  A. C. van der Wal Coronary artery pathology. , 2007, Heart.

[38]  Peter Libby,et al.  Atherosclerosis: disease biology affecting the coronary vasculature. , 2006, The American journal of cardiology.

[39]  P. Libby,et al.  Platelet Expression Profiling and Clinical Validation of Myeloid-Related Protein-14 as a Novel Determinant of Cardiovascular Events , 2006, Circulation.

[40]  G. Nickenig,et al.  Circulating endothelial progenitor cells and cardiovascular outcomes. , 2005, The New England journal of medicine.

[41]  R. D. de Winter,et al.  Plaque Instability Frequently Occurs Days or Weeks Before Occlusive Coronary Thrombosis: A Pathological Thrombectomy Study in Primary Percutaneous Coronary Intervention , 2005, Circulation.

[42]  S. Sans In search of the grail: the never-ending story of biomarkers for coronary risk prediction. , 2004, European heart journal.

[43]  Paul Schoenhagen,et al.  Effect of recombinant ApoA-I Milano on coronary atherosclerosis in patients with acute coronary syndromes: a randomized controlled trial. , 2003, JAMA.

[44]  Antonio Colombo,et al.  From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: Part II. , 2003, Circulation.

[45]  E. Boerwinkle,et al.  From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: Part I. , 2003, Circulation.

[46]  Eric J Topol,et al.  Prevalence of conventional risk factors in patients with coronary heart disease. , 2003, JAMA.

[47]  H. Tunstall-Pedoe,et al.  Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. , 2003, European heart journal.

[48]  A. Becker,et al.  Sudden unexpected death in young adults. Discrepancies between initiation of acute plaque complications and the onset of acute coronary death. , 2002, European heart journal.

[49]  Ana Ivelisse Avilés,et al.  Linear Mixed Models for Longitudinal Data , 2001, Technometrics.

[50]  T Suzuki,et al.  Considerable Time From the Onset of Plaque Rupture and/or Thrombi Until the Onset of Acute Myocardial Infarction in Humans: Coronary Angiographic Findings Within 1 Week Before the Onset of Infarction , 2000, Circulation.

[51]  E. Antman,et al.  The TIMI risk score for unstable angina/non-ST elevation MI: A method for prognostication and therapeutic decision making. , 2000, JAMA.

[52]  E W Steyerberg,et al.  Predictors of outcome in patients with acute coronary syndromes without persistent ST-segment elevation. Results from an international trial of 9461 patients. The PURSUIT Investigators. , 2000, Circulation.

[53]  M. Davies The pathophysiology of acute coronary syndromes , 2000, Indian heart journal.

[54]  T Suzuki,et al.  Process of progression of coronary artery lesions from mild or moderate stenosis to moderate or severe stenosis: A study based on four serial coronary arteriograms per year. , 1999, Circulation.

[55]  D. Levy,et al.  Stratifying the patient at risk from coronary disease: new insights from the Framingham Heart Study. , 1990, American heart journal.