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Enrolling by invitationNCT07625488MARC-3Updated Aug 13, 2026

Measuring Athlete's Risk of Cardiovascular Events 3 (MARC-3)

An observational study in Coronary Artery Disease and Atherosclerosis, sponsored by Radboud University Medical Center. Enrolling by invitation at 2 sites in Netherlands. Open to male participants aged 45 Years and older. Per ClinicalTrials.gov, last updated 2026-08-13.

Sponsored by Radboud University Medical Center · Observational

Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
250
Ages
45 Years and older
Sex
Male
01

Study summary

Regular endurance exercise is widely known to improve cardiovascular health and reduce the risk of heart disease. Yet several imaging studies have shown that male endurance athletes have a higher prevalence of coronary artery calcification (CAC) and calcified plaque than less active individuals. It remains unclear whether this represents harmful progression of coronary artery disease or a more benign, stable form of atherosclerosis. Understanding this distinction is essential, because coronary atherosclerosis is the leading cause of exercise-related cardiac events in athletes >35 years.

The MARC-3 study is the second long-term follow-up of the original Measuring Athlete's Risk of Cardiovascular Events (MARC) cohort and aims to clarify how lifelong exercise training influences coronary artery health.

The study will:

  1. examine how long-term exercise patterns relate to the progression of coronary atherosclerosis;
  2. assess plaque characteristics using artificial-intelligence based quantitative coronary CT angiography (AI-QCT);
  3. identify biological markers that may link exercise to plaque development; and
  4. evaluate long-term clinical outcomes, including all-cause mortality and major adverse cardiovascular events (MACE).

Our working hypothesis is that endurance exercise predominantly leads to more stable, calcified plaque, and that mechanisms such as exercise-induced hypertension, inflammation, lipid regulation, and genetic background may provide an explanation for the unexpected results observed in previous studies.

Read the detailed description

For a detailed description, please see the attached study protocol under 'Documents'.

02

Conditions studied

  • Coronary Artery Disease
  • Atherosclerosis

Keywords

  • Exercise
  • Physical Activity
  • Coronary Artery Calcification
  • Plaque, Atherosclerotic
  • Coronary Computed Tomography Angiography
  • AI-based Quantitative Computed Tomography
  • Pericoronary Adipose Tissue Attenuation
  • Vascular Inflammation
  • Biomarkers
  • Genetic Predisposition to Disease
  • Polygenic Risk Score
  • Major Adverse Cardiovascular Events
03

In context

Coronary Artery Disease

4,857 studies on the registry are indexed under Coronary Artery Disease; 890 are open to participants now.

This study's planned enrollment of 250 is below the median of 320 across 1,687 observational studies indexed under Coronary Artery Disease.

Browse Coronary Artery Disease studies →

Lead sponsor

Radboud University Medical Center is the lead sponsor of 986 studies on the registry; 136 are open to participants now.

Of its 6 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
45 Years and older
Sexes eligible
Male
Sampling method
Non-probability sample

Study population

Participants are invited from the established MARC cohort, which originally included 318 Caucasian, middle-aged (≥45 years) male amateur athletes recruited between 2012 and 2014. At baseline, athletes were eligible if they engaged in regular endurance exercise and were free of known cardiovascular disease. All participants underwent a comprehensive sports medical evaluation without abnormalities prior to enrollment. The initial exclusion criteria included inability to provide informed consent and medical conditions precluding participation in exercise testing or CT imaging.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

- Previous participation in the original MARC study (enrolled between 2012-2014).

Exclusion criteria

Exclusion Criteria:

  • Inability to provide written .
  • Not willing to receive information about potential incidental CT findings.
  • Concurrent participation in an interventional study targeting cardiovascular health.

Additional exclusion criteria for CCTA:

  • Not willing to undergo CCTA with intravenous contrast.
  • History of severe allergic reaction to iodinated contrast agents.
  • Renal dysfunction ( \< 30 mL/min/1.73 m²).

Additional exclusion criteria for maximal exercise testing:

  • Absolute to maximal exercise testing as defined by institutional SOPs, including but not limited to:
  • Recent acute myocardial infarction (3-5 days)
  • Unstable angina
  • Uncontrolled arrhythmias with symptoms or hemodynamic compromise
  • Syncope
  • Active endocarditis
  • Acute myocarditis or pericarditis
  • Uncontrolled heart failure
  • Acute pulmonary embolus or pulmonary infarction
  • Lower extremity thrombosis
  • Suspected aortic dissection
  • Uncontrolled asthma
  • Pulmonary edema
  • Resting room-air oxygen saturation ≤ 85 percent
  • Respiratory failure
  • Acute non-cardiopulmonary disorders that impair or are aggravated by exercise (e.g., infection, renal failure, thyrotoxicosis)
  • Mental impairment preventing cooperation
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

GFR and eGFR (kidney filtering)

GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².

Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
250 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • MARC-3 cohort

    Participants in this cohort are the surviving and traceable members of the original MARC study, which enrolled 318 middle-aged male amateur endurance athletes between 2012 and 2014. In the first follow-up (MARC-2), 291 participants were successfully re-examined. All participants have a lifelong history of regular endurance exercise. In MARC-3, they undergo repeat evaluation of coronary atherosclerosis, cardiopulmonary fitness, exercise exposure, biomarkers, and genetic factors approximately 12.5 years after baseline.

06

What researchers measure

Primary outcomes

  1. Coronary Artery Calcium (CAC) Score

    Total CACS (AU) AU: Agatston units

    Time frame: Baseline

  2. Coronary stenosis and plaque characteristics

    Determine the characteristics (burden, composition, risk features)

    Time frame: Baseline

Secondary outcomes

  1. Quantitative Plaque Phenotype and Burden

    Total plaque volume (mm³); calcified, mixed, non-calcified and low-attenuation plaque (mm³); remodeling index.

    Time frame: Baseline

  2. Pericoronary Adipose Tissue Attenuation (PCATa)

    CCTA-derived PCAT attenuation around proximal coronary arteries (Hounsfield Units, HU).

    Time frame: Baseline

  3. Peripheral Atherosclerosis and Vascular Function

    Carotid artery intima-media thickness (IMT, mm)

    Time frame: Baseline

  4. Long-Term Clinical Outcomes

    All-cause mortality and major adverse cardiac events (MACE)

    Time frame: Through current study baseline, approximately 13 years after initial cohort enrollment

07

Study locations

2 sites
08

References and documents

Publications

  • Braber TL, Mosterd A, Prakken NH, Doevendans PA, Mali WP, Backx FJ, Grobbee DE, Rienks R, Nathoe HM, Bots ML, Velthuis BK. Rationale and design of the Measuring Athlete's Risk of Cardiovascular events (MARC) study : The role of coronary CT in the cardiovascular evaluation of middle-aged sportsmen. Neth Heart J. 2015 Feb;23(2):133-8. doi: 10.1007/s12471-014-0630-0. PubMed 25410576 ↗
  • Braber TL, Prakken NH, Mosterd A, Mali WP, Doevendans PA, Bots ML, Velthuis BK. Identifying Coronary Artery Disease in Asymptomatic Middle-Aged Sportsmen: The Additional Value of Pulse Wave Velocity. PLoS One. 2015 Jul 6;10(7):e0131895. doi: 10.1371/journal.pone.0131895. eCollection 2015. PubMed 26147752 ↗
  • Braber TL, Mosterd A, Prakken NH, Rienks R, Nathoe HM, Mali WP, Doevendans PA, Backx FJ, Bots ML, Grobbee DE, Velthuis BK. Occult coronary artery disease in middle-aged sportsmen with a low cardiovascular risk score: The Measuring Athlete's Risk of Cardiovascular Events (MARC) study. Eur J Prev Cardiol. 2016 Oct;23(15):1677-84. doi: 10.1177/2047487316651825. Epub 2016 May 24. PubMed 27222386 ↗
  • Schurink MM, Braber TL, Prakken NH, Doevendans PA, Backx FJ, Grobbee DE, Rienks R, Nathoe HM, Bots ML, Velthuis BK, Mosterd A. No psychological distress in sportsmen aged 45 years and older after cardiovascular screening, including cardiac CT: The Measuring Athlete's Risk of Cardiovascular events (MARC) study. Neth Heart J. 2017 Apr;25(4):271-277. doi: 10.1007/s12471-017-0948-5. PubMed 28144819 ↗
  • Aengevaeren VL, Mosterd A, Braber TL, Prakken NHJ, Doevendans PA, Grobbee DE, Thompson PD, Eijsvogels TMH, Velthuis BK. Relationship Between Lifelong Exercise Volume and Coronary Atherosclerosis in Athletes. Circulation. 2017 Jul 11;136(2):138-148. doi: 10.1161/CIRCULATIONAHA.117.027834. Epub 2017 Apr 27. PubMed 28450347 ↗
  • Aengevaeren VL, Mosterd A, Sharma S, Braber TL, Thompson PD, Velthuis BK, Eijsvogels TMH. Coronary Atherosclerosis in Athletes: Exploring the Role of Sporting Discipline. JACC Cardiovasc Imaging. 2019 Aug;12(8 Pt 1):1587-1589. doi: 10.1016/j.jcmg.2019.01.002. Epub 2019 Feb 13. No abstract available. PubMed 30772217 ↗
  • Berge K, Aengevaeren VL, Mosterd A, Velthuis BK, Lyngbakken MN, Omland T, Schalkwijk CG, Eijsvogels TMH. Plasma Advanced Glycation End Products and Dicarbonyl Compounds Are Not Associated with Coronary Atherosclerosis in Athletes. Med Sci Sports Exerc. 2023 Jul 1;55(7):1143-1150. doi: 10.1249/MSS.0000000000003152. Epub 2023 Apr 4. PubMed 36849122 ↗
  • Janssen SLJE, de Vries F, Mingels AMA, Kleinnibbelink G, Hopman MTE, Mosterd A, Velthuis BK, Aengevaeren VL, Eijsvogels TMH. Exercise-induced cardiac troponin release in athletes with versus without coronary atherosclerosis. Am J Physiol Heart Circ Physiol. 2024 Apr 1;326(4):H1045-H1052. doi: 10.1152/ajpheart.00021.2024. Epub 2024 Feb 16. PubMed 38363583 ↗
  • Berge K, Janssen SLJE, Velthuis BK, Myhre PL, Mosterd A, Omland T, Eijsvogels TMH, Aengevaeren VL. Predictors of coronary atherosclerosis in middle-aged and older athletes: the MARC-2 study. Eur Heart J Cardiovasc Imaging. 2025 Mar 3;26(3):461-470. doi: 10.1093/ehjci/jeae317. PubMed 39657626 ↗
  • Janssen SLJE, Aengevaeren VL, DE Vries F, Kleinnibbelink G, Mingels AMA, Hopman MTE, Mosterd A, Velthuis BK, Riksen NP, Eijsvogels TMH. Exercise-Induced Changes in Hemodynamics, Hormones, Electrolytes, and Inflammatory Markers in Veteran Athletes with and without Coronary Atherosclerosis. Med Sci Sports Exerc. 2025 Jul 1;57(7):1297-1308. doi: 10.1249/MSS.0000000000003674. Epub 2025 Feb 17. PubMed 39957063 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Yes — Pseudonymised individual participant data underlying published results may be made available to qualified researchers upon reasonable request. Data access will be subject to approval by the study group leaders, compatibility with participant consent, institutional privacy/legal review, and execution of a data sharing agreement. Only data necessary for the approved research question will be shared.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started May 2026 (actual). Primary completion is estimated for Dec 2027, 19 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
May 20, 2026
First posted
Jun 4, 2026
StartActual
May 31, 2026
Primary completionEst.
Dec 31, 2027
CompletionEst.
Dec 31, 2027
Last update
Aug 13, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 13, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07625488
Collaborators
Collaborators within FIT-HEART consortium (e.g. UMC Utrecht, Amsterdam UMC), Cleerly, Inc., Caristo Ltd., Philips Healthcare
Responsible party
Sponsor
First posted
Jun 4, 2026
Start date
May 31, 2026
Primary completion
Dec 31, 2027 (estimated)
Completion
Dec 31, 2027 (estimated)
Last update
Aug 13, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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