A Unique Case Series of Novel Biomarkers of Cardiac Damage in Cyclists Completing the 4800 km Race Across America (RAAM)
Bibliographic record
Abstract
Prolonged strenuous exercise is associated with the appearance of biomarkers of cardiac cell damage and a decline in cardiac function during recovery. Few studies have assessed repeated bouts of prolonged exercise and whether this results in further biomarker accumulation and greater dysfunction. Further, it may be useful to describe the changes in a range of biomarkers that may provide additional insight into the clinical significance of cardiac biomarker release. Four highly trained cyclists completed the 4800 km Race Across America (RAAM) in 7 days. Venous blood samples and echocardiograms were taken prior to, every 24 hours during and immediately after the RAAM. Venous blood was analysed for cardiac troponin I (cTnI), creatine kinase MB (CK-MB), fatty acid binding protein (HFABP), glycogen phosphorylase BB (GPBB) and N-Terminal Brain Natriuretic Peptide (NTproBNP). Echocardiograms allowed analysis of septal, left ventricular free wall and right ventricular free wall tissue velocities during systole and diastole. Before the RAAM cTnI levels were below the assay detection level (0.02 ng.ml⁻¹). In three riders cTnI peaked on day one (0.03 ng.ml⁻¹) and returned below detection levels post race. In the 4th rider cTnI peaked on day 5 (0.08 ng.ml⁻¹) and was still elevated post-race. Both CK-MB and H-FABP were increased during the RAAM in all 4 cyclists. In three riders H-FABP peaked on day one (3.49 to 5.09 ng.ml⁻¹) and declined over the rest of the RAAM. In the final rider H-FABP peaked on day two (5.90 ng.ml⁻¹) and then dropped back to baseline by the post-RAAM assessment. Interestingly, changes in H-FABP mirrored, temporally, changes in CK-MB in places and this may reflect an association with skeletal muscle damage. Data for GPBB value to (2.9 - 149.6 ng.ml⁻¹) and NTproBNP value to (27.3 - 310.0 ng.L⁻¹) were variable but again was elevated in all riders during the course of the RAAM. Changes in ventricular wall tissue velocities were minor and not cumulative. Peak atrial diastolic tissue velocity in the left ventricular free wall increased (P < 0.05) from 11 to 18 cm.s⁻¹ over the last two race days but this did not significantly impact the ratio of early to late diastolic wall motion. Cardiac biomarkers were elevated during the completion of the RAAM in all 4 cyclist but changes were not cumulative which suggest that the hearts of the cyclists coped well with the extreme cardiac work demanded by this ultra-endurance exercise challenge.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".