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Masters Athlete Screening Study (MASS): incidence of cardiovascular disease and major adverse cardiac events over five years of screening

2021· article· en· W3208618824 on OpenAlexaffabout
B Morrison, S. Isserow, Mackenzie MacDonald, Carlee Cater, Ingrid Zwaiman, Jack Taunton, Darren E. R. Warburton, James McKinney

Bibliographic record

VenueEuropean Heart Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineMaceCoronary artery diseaseIncidence (geometry)Internal medicineCohortBlood pressureBody mass indexPhysical therapyCardiologyMyocardial infarctionPercutaneous coronary intervention

Abstract

fetched live from OpenAlex

Abstract Background The long-term implications of cardiovascular disease (CVD) in masters athletes, and whether screening decreases their risk of major adverse cardiac events (MACE) is unknown. Purpose To evaluate the incidence of CVD and MACE over five years of a screening study. Methods Masters athletes (≥35 years) from a variety of sports without previous history of coronary artery disease (CAD) underwent yearly cardiovascular screening. The screen consisted of anthropometrics, blood pressure, resting electrocardiogram, modified American Heart Association 14-element recommendations, cardiovascular event questionnaire, physical examination (year 1) and Framingham Risk Score (years 1–3). Participants with an abnormal screen according to the European Association of Cardiovascular Prevention and Canadian Cardiology Society Guidelines underwent further evaluations (computed coronary tomography angiography was not included for all athletes but based on clinical assessment). Participants who withdrew during the study received a follow-up questionnaire to determine MACE and vital status. Results In the first year of the Masters Athlete Screening Study, 798 masters athletes (62.7% male, 54.6±9.5 years) were screened; 91 (11.4%) of the cohort were found to have CVD. CAD was the most common diagnosis (69.2%). During the following four years, there were an additional 89 CVD diagnoses with an incidence rate of 3.58/100, 4.14/100, 3.74/100, 1.19/100, for years two to five, respectively. Fifteen participants had more than one diagnosis. The most common diagnoses over the five years were arrhythmias (n=33; 37.1%), aortic dilatation (n=20; 22.5%), CAD (n=18; 20.2% (5 obstructive, 13 non-obstructive)) and other (n=7; 7.9%) (myocarditis (n=2), myocardial bridging (n=1), cerebrovascular disease (n=1), dilated cardiomyopathy (n=1), probable Long QT syndrome (n=1), papillary fibroelastoma (n=1)). A total of 10 MACE occurred (two cardiovascular deaths, five myocardial infarctions and three cerebrovascular accidents). All events occurred in male athletes (63.6±12.5 years). Out of the 136 participants that received the lost to follow-up questionnaire, 101 (74.3%) completed it. Of those, one male athlete underwent percutaneous coronary intervention. The incidence of MACE over the study period was 0.30/100 athletes per year. Conclusion Yearly cardiovascular screening of masters athletes identified ∼3 new diagnoses per 100 athletes per year. Ten MACE occurred despite yearly screening and high CV fitness of masters athletes. Funding Acknowledgement Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): MITACs and CIHR

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.078
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.267
Teacher spread0.247 · 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 teacher head, 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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Citations0
Published2021
Admission routes2
Has abstractyes

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