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Record W2030710205 · doi:10.1186/1532-429x-11-s1-o68

Myocardial fibrosis is a prevalent finding in elite high-endurance athletes

2009· article· en· W2030710205 on OpenAlexaff
Myra Cocker, Oliver Strohm, David J. Smith, Craig Butler, Israel Belenkie, Willem Meeuwisse, Matthias G. Friedrich

Bibliographic record

VenueJournal of Cardiovascular Magnetic Resonance · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineAngiologyAthletesElite athletesFibrosisMyocardial fibrosisPhysical therapyInternal medicineCardiology

Abstract

fetched live from OpenAlex

Autopsies in athletes have shown that athletes have diffuse myocardial fibrosis, and epidemiological findings place athletes at a greater relative risk of sudden death due to cardiovascular causes. Electrocardiography abnormalities are well documented in athletes, where it is widely accepted that these are characteristic of the 'athlete's heart'. Furthermore, biochemical markers of collagen breakdown and myocardial fibrosis are elevated in athletes. As such, using CMR late Gadolinium enhancement (LE) imaging, we hypothesized that fibrosis is a feature of the athlete's heart and is associated with reduced cardiac function. 48 elite athletes (25 male, age 32 ± 13 years), and a control group of 8 healthy individuals (4 male, 31 ± 9 years) were prospectively recruited. On a 1.5 T MRI system, standard protocols for assessment for LV function and T1-weighted LE were performed. Two experienced observers assessed LE images visually for the presence of fibrosis. The extent of fibrosis was assessed quantitatively, using semi-automated detection where regions that had signal enhancement above a threshold of 5 standard deviations from the mean signal of healthy myocardium, were considered to represent fibrosis. Areas that had a lack of contrast enhancement were used to define healthy myocardium. Abbreviations utilized: LVEDVI – LV end-diastolic volume indexed-to-height; LVESVI – LV end-systolic volume indexed-to-height; LVSVI – LV stroke volume indexed-to-height; LVEF – LV ejection fraction 37 of 48 (77%) athletes had non-ischemic diffuse LE, compared with 1 of 8 (13%) of controls. The extent of myocardial fibrosis in athletes who had visual evidence for LE was 10.7 ± 3.3%. Athletes with fibrosis had increased LVEDVI (117 ± 19 vs. 98 ± 15 ml/m, p < 0.05), LVESVI (44 ± 11 vs. 34 ± 10 ml/m, p < 0.05), and LVSVI (73 ± 11 vs. 64 ± 7 ml/m, p < 0.05), while LVEF (63 ± 5 vs. 66 ± 6%, p > 0.05) did not differ, when compared to those who did not have fibrosis. Figure 1 . T1-weighted late gadolinium enhancement images . Left panels : Evidence of subepicardial non-ischemic myocardial fibrosis in athletes 1 and 2 (arrows), with none in healthy control. Right panels : Quantification of myocardial fibrosis by manually tracing a region of interest in health remote myocardium (blue outline). Automated computer thresholding set at 5 standard deviations above the mean signal intensity of remote myocardium detects fibrosis (red overlay). The detected extent of fibrosis for athlete 1 is 14.12%, 11.30% for athlete 2 and 0.20% for control. This is the first evidence of myocardial fibrosis being a prevalent finding in elite athletes, and its relation to cardiac morphology with depressed cardiac function. Long-term follow-up is required to assess the impact of fibrosis on outcome and prognosis in the 'athlete's heart'.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.236
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2009
Admission routes1
Has abstractno

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