Cited by 398Cardiovascular Effects of ExerciseCardiac Imaging and DiagnosticsCardiovascular and exercise physiology

Prevalence of subclinical coronary artery disease in masters endurance athletes with a low atherosclerotic risk profile

Open access
Merghani, Ahmed, Maestrini, Viviana, Rosmini, Stefania, Cox, Andrew T., Dhutia, Harshil, Bastiaenan, Rachel, David, Sarojini, Yeo, Tee Joo +8 more·2017·Circulation

Abstract

Background: Studies in middle-age and older (masters) athletes with atherosclerotic risk factors for coronary artery disease report higher coronary artery calcium (CAC) scores compared with sedentary individuals. Few studies have assessed the prevalence of coronary artery disease in masters athletes with a low atherosclerotic risk profile. Methods: We assessed 152 masters athletes 54.4±8.5 years of age (70% male) and 92 controls of similar age, sex, and low Framingham 10-year coronary artery disease risk scores with an echocardiogram, exercise stress test, computerized tomographic coronary angiogram, and cardiovascular magnetic resonance imaging with late gadolinium enhancement and a 24-hour Holter. Athletes had participated in endurance exercise for an average of 31±12.6 years. The majority (77%) were runners, with a median of 13 marathon runs per athlete. Results: Most athletes (60%) and controls (63%) had a normal CAC score. Male athletes had a higher prevalence of atherosclerotic plaques of any luminal irregularity (44.3% versus 22.2%; P =0.009) compared with sedentary males, and only male athletes showed a CAC ≥300 Agatston units (11.3%) and a luminal stenosis ≥50% (7.5%). Male athletes demonstrated predominantly calcific plaques (72.7%), whereas sedentary males showed predominantly mixed morphology plaques (61.5%). The number of years of training was the only independent variable associated with increased risk of CAC >70th percentile for age or luminal stenosis ≥50% in male athletes (odds ratio, 1.08; 95% confidence interval, 1.01–1.15; P =0.016); 15 (14%) male athletes but none of the controls revealed late gadolinium enhancement on cardiovascular magnetic resonance imaging. Of these athletes, 7 had a pattern consistent with previous myocardial infarction, including 3(42%) with a luminal stenosis ≥50% in the corresponding artery. Conclusions: Most lifelong masters endurance athletes with a low atherosclerotic risk profile have normal CAC scores. Male athletes are more likely to have a CAC score >300 Agatston units or coronary plaques compared with sedentary males with a similar risk profile. The significance of these observations is uncertain, but the predominantly calcific morphology of the plaques in athletes indicates potentially different pathophysiological mechanisms for plaque formation in athletic versus sedentary men. Coronary plaques are more abundant in athletes, whereas their stable nature could mitigate the risk of plaque rupture and acute myocardial infarction.

Integrity signals

Registry

Crossref · 10.1161/circulationaha.116.026964

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Prior studies only looked at the relative distribution of plaque type in individuals with evidence of plaque, but did not report differences in the absolute prevalence of calcified, mixed, and non-calcified plaques.

    “these prior studies only looked at the relative distribution of plaque type in individuals with evidence of plaque, but differences in the absolute prevalence of calcified, mixed, and non-calcified plaques were not reported.”
  • In 2017, two other studies reported that athletes presenting with coronary plaques were more likely to have calcified plaques, whereas non-athletes with plaques more frequently had mixed plaques.

    “In 2017, two other studies added a relevant nuance that athletes presenting with coronary plaques were more likely to have calcified plaques, whereas non-athletes with plaques more frequently had mixed plaques.3,4”
  • Non-athletes in Master@Heart exhibited a higher METmin/week than controls by Aengevaeren et al. (888 vs. 669 METmin/week) and a greater average percentage predicted VO2peak of 122% compared to 96% reported by Merghani et al.

    “our non-athletes exhibited a higher level of fitness with a higher METmin/week than the controls by Aengevaeren et al. (888 vs. 669 METmin/week) and a greater average percentage predicted VO2peak of 122% compared to 96% reported by Merghani et al.3,4”
  • A lower prevalence of cardiac risk factors with low physical activity levels is associated with reduced coronary atherosclerosis but unfavourable plaque characteristics.

    “a lower prevalence of cardiac risk factors with low physical activity levels is associated with reduced coronary atherosclerosis but unfavourable plaque characteristics.3,4”
  • The final sample size of Master@Heart remains twice as large as that of previous studies.

    “the final sample size of the Master@Heart study remains twice as large as that of previous studies.2–4”

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Oxborough D, Zaidi A, Gati S, Papadakis M, Sheikh N, Sharma S. A guideline for the practice of echocardiography in the cardiovascular screening of sports participants: a joint policy statement of the British Society of Echocardiography and Cardiac Risk in the Young. ECHO – J Br Soc Echocardiogr. 2013;1:1–8.

Cited by

Sorted by citations

Authors
Merghani, A., Maestrini, V., Rosmini, S., Cox, A. T., Dhutia, H., Bastiaenan, R., David, S., Yeo, T. J., Narain, R., Malhotra, A., Papadakis, M., Wilson, M. G., Tome, M., AlFakih, K., Moon, J. C., & Sharma, S.
Affiliations
St George's, University of London (GB)
Venue
Circulation
Published
2017-07-11
Volume
136
Issue
2
Pages
126-137
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2611722420
Cited by
398
References
45
Citations by year
2026: 26 · 2025: 43 · 2024: 42 · 2023: 43 · 2022: 52 · 2021: 56 · 2020: 47 · 2019: 41 · 2018: 36 · 2017: 11
FWCI
24.57
Type
journal article
Language
en
Open access
Locations
  • Circulation (publishedVersion)
  • PubMed (publishedVersion)
  • St George's Online Research Archive (St George's University of London) (acceptedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion, other-oa)
Funders
  • National Institute for Health and Care Research (CL-2017-16-001, CL-2014-16-002, CL-2011-16-501)
  • British Heart Foundation (FS/14/16/30671)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Effects of Exercise
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
Keywords
subclinical coronary artery disease, masters athletes, endurance athletes, coronary artery calcium, atherosclerotic plaque morphology, luminal stenosis, late gadolinium enhancement, myocardial infarction, training duration, sex differences, cardiovascular magnetic resonance imaging, coronary CT angiography, exercise stress testing, marathon runners, sedentary controls
MeSH terms
Adult, Aged, Aged, 80 and over, Bicycling, Coronary Artery Disease, Exercise Test, Female, Humans, Male, Middle Aged, Physical Endurance, Risk Factors, Running, Cohort Studies, Prevalence, Athletes, Plaque, Atherosclerotic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review