Non-COVID-19 cardiovascular pathology from return-to-play screening in college athletes after COVID-19
Bibliographic record
Abstract
OBJECTIVE: Concerns for cardiac involvement after SARS-CoV-2 infection led to widespread cardiac testing in athletes. We examined incidental non-COVID-19 cardiovascular pathology in college athletes undergoing postinfection return-to-play screening. METHODS: The Outcomes Registry for Cardiac Conditions in Athletes was a nationwide prospective multicentre observational cohort study that captured testing and outcomes data from 45 institutions (September 2020-June 2021). Athletes with an ECG and transthoracic echocardiogram (TTE) and no pre-existing conditions were included. Findings were defined as major (associated with sudden cardiac death or requiring intervention), minor (warrants surveillance), incidental (no follow-up needed) or uncertain significance (abnormal with subsequent normal testing). RESULTS: Athletes with both ECG and TTE (n=2900, mean age 20±1, 32% female, 27% black) were included. 35 (1.2%) had ECG abnormalities. Of these, 2 (5.7%) had TTE abnormalities indicating cardiomyopathy (hypertrophic-1, dilated-1), and 1 with normal TTE had atrial fibrillation. Of 2865 (98.8%) athletes with a normal ECG, 54 (1.9%) had TTE abnormalities: 3 (5.6%) with aortic root dilatation ≥40 mm, 15 (27.8%) with minor abnormalities, 25 (46.3%) with incidental findings and 11 (20.4%) with findings of uncertain significance. Overall, 6 (0.2%) athletes had major conditions; however, coronary anatomy and aortic dimensions were inconsistently reported and pathology may have been missed. CONCLUSION: Major non-COVID-19 cardiovascular pathology was identified in 1/500 college athletes undergoing return-to-play screening. In athletes without ECG abnormalities, TTE's added value was limited to pathological aortic root dilatation in 1/1000 athletes and minor abnormalities warranting surveillance in 1/160 athletes. Two-thirds of findings were incidental or of uncertain significance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".