Abstract 1654: Reduced Left Ventricular Diastolic Function Follows Prolonged Strenuous Exercise In Middle-aged Male Athletes
Bibliographic record
Abstract
Introduction: A number of studies have demonstrated LV diastolic dysfunction after prolonged strenuous exercise. However, data remain conflicting in part because of uncontrolled and disparate experimental conditions. Hypothesis: We assessed the hypothesis that a decline in LV diastolic function follows prolonged exercise among middle aged male athletes. Methods: Eight middle aged recreational male athletes (ages 47–59, mean 52.4± 1.3 years) were recruited. On separate days at least one week apart, subjects performed continuous running of 150 min duration at low and high intensities (55% vs 80% VO2 max, respectively). On each day of exercise, subjects underwent echocardiographic assessments immediately before and 60 min following exercise. Diastolic function was assessed by standard pulsed wave Doppler and tissue Doppler techniques. Efforts were made to maintain hydration throughout, and hematocrit was checked with each echocardiographic assessment. Results: Sixty minutes following prolonged exercise, the mean resting heart rate was significantly elevated compared to baseline (81±5 vs 63±3 bpm, p<0.01) and a drop in systolic blood pressure was observed (115±4 vs 132±5mmHg, p=0.02). Baseline and post-exercise hematocrit were similar (43.3%±0.8 vs 43.4%±0.8). Mean (±sem) indices of diastolic function are summarized below and included a significant decline in peak mitral inflow E velocity, accompanied by an increase in mitral inflow A velocity which was significant after high intensity exercise. The decline in both the E/A and e’/a’ ratio was significant for both high and low exercise intensities. A significant prolongation in the IVRT and the mitral inflow E wave deceleration time were seen following low intensity exercise. Conclusions: In middle aged men, prolonged exercise is associated with diminished resting LV diastolic performance, detectable one hour following exercise. These changes appear to be independent of hydration state.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".