biomarcs study

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  • 8/12/2019 Biomarcs Study

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    BIOMarker study to identify the A cute r isk of a Coronary S yndrome

    Eric Boersma

    Erasmus MC, Rotterdam, The Netherlands

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    Epidemiology of ACS

    Annually, in The Netherlands 90,000 subjects are

    admitted for an Acute Coronary SyndromeThe annual number of fatal coronary eventsamounts 15,000

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    Rotterdam Study

    0

    1.5

    0.5

    De Torbal, et al. Eur Heart J 2006;27:729-36

    1.0

    9060

    Recognised MIs per 100 person years

    Age (years)

    807050

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    Euro Heart Survey - Stable Angina

    0

    6

    2

    4

    123

    Death or MI (%)

    Follow-up (months)

    960

    Daly C, et al. BMJ 2006;332:262-267

    4.8 events per 100 patient years

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    Challenge

    How to reduce the incidence of ACS?

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    Classical approach

    How to reduce the incidence of ACS?

    1. Identification of individuals who belong to a groupthat is are at high risk of a coronary event in theperiod (years) ahead

    2. Installation of preventive measures , such as life-style changes, medication (e.g. aspirin, statins),revascularisation

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    Clinical characteristics and risk

    Clinical characteristics are usefull to identify high-risk groups

    Most events occur as the result of a sudden,unexpected progression and destabilisation of anonocclusive, asymptomatic coronary lesion

    Therefore, clinical baseline characteristics largelyfail to identify episodes of coronary vulnerability in

    individual patients

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    Challenge

    How to reduce the incidence of ACS?

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    Alternative approach

    How to reduce the incidence of ACS?

    1. Identification of vulnerable episodes in the lifetimeof individuals, during which they are at high risk ofan imminent coronary event

    2. Timely installation of (intensified) preventivetherapy

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    The role of (non)invasive imaging

    Several imaging techniques are available toanalyse plaque composition and indicate its

    stability level (e.g. IVUS, MS-CT, MRI)However, atherosclerosis is a dynamic process -lesions that are stable today, might be destabilised

    tomorrowLong-term and permanent risk-monitoring byinvasive imaging techniques is infeasible

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    Hypothesis

    Inflammation plays a central role in coronaryplaque progression resulting in an ACS

    Vascular inflammation becomes activated severaldays or weeks before the coronary event

    Biomarkers of inflammation and hypercoagulabilitywill be elevated before the event

    Hence, serial biomarker measurements might be

    used to identify vulnerable episodes in the lifetimeof individuals, during which they are at high risk ofan imminent ACS

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    Biomarkers during follow-up

    1 2 3 4 5 6

    Biomarker pattern associatedwith a stable coronary period

    Regular blood samplesduring follow-up

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    Biomarkers during follow-up

    Vulnerable episode

    1 2 3 4 5 6Regular blood samples

    during follow-up

    Biomarker pattern associatedwith a high risk of an ACSevent in the vulnerableepisode between samples 4-6

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    Research Program - Perspective

    The long-term perspective of the ResearchProgram is to develop treatment strategies, based

    on frequent biomarker evaluation, to preventcoronary events that are about to occur

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    Research Program - Short-term goal

    The short-term goal (5 year horizon) of theResearch Program is to unravel the relation

    between biomarkers patterns and the incidence ofcoronary events during prolonged follow-up in(post)ACS patients

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    Research Program

    1. Selection of candidate biomarkers - Literature2. Variability in biomarker patterns after admission

    for ACS - BIOMArCS-pilot3. Biomarker patterns and coronary events during

    long-term follow-up in ACS patients - BIOMArCS4. Development of a dynamic risk model to

    recognise episodes of coronary vulnerability in(post)ACS patients, combining serial clinical andbiomarker data

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    Time schedule

    2008 2009 2010 2011 2012

    Project 1

    Project 2A

    Project 2B

    Project 3

    Project 4

    PhD

    PhD

    PhD

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    Project 3 - BIOMArCS

    Relation between biomarker patterns duringfollow-up and incident coronary events in ACSpatientsPatients admitted for ACS

    2 risk factors

    N=70021 sampling moments

    admission, discharge, each 14 days until 6 months,then each month until 1 year

    Analysis: 70 cases (i.e. patients with repeat ACS;10%) + 210 controls * 15 samples (on average)

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    Project 3 - BIOMArCS

    Sponsorship: Dutch Heart Foundation, ICIN,Erasmus MC

    Academic hospitals (ICIN)Rotterdam, Maastricht, Utrecht, Amsterdam (AMC),Groningen

    Non-academic hospitals (WCN) Alkmaar, Den Haag (MCH Westeinde), Goes,Harderwijk, Heerlen, Nijmegen, Rotterdam (MCRZand Havenziekenhuis), Zoetermeer

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    What is our request?

    Active participation in a nationwide jointcollaboration between ICIN and WCN.

    Inclusion of 50 patients within 1.5 yearsInvestment in infrastructure

    Efforts to carefully complete the protocol for eachpatient(strictly observational and nurse driven study)

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    Contact Details

    Eric Boersma, principal investigator [email protected]

    Martijn Akkerhuis, cardiologist

    [email protected]

    Rohit Oemrawsingh, PhD [email protected]