Moderate-intensity exercise improves the thromboelastography coagulation index in children with severe hemophilia A
Bibliographic record
Abstract
This pilot study explored the effect of moderate-intensity exercise on factor VIII (FVIII) activity and global hemostatic status of the children with severe hemophilia A. Eleven children aged 6 to 15 years with severe hemophilia A participated in a moderate-intensity exercise test by using Recumbent Cross Trainer (NuStep, T5XR) for at least 10 min after reaching the target heart rate or until volitional exhaustion within a safety framework. Blood samples were collected pre and postexercise for plasma FVIII: C and thromboelastography (TEG) parameters and coagulation index. The average duration of exercise was 11.8 min (10-13 min). There was no report on bleeding events or adverse symptoms requiring termination of the exercise test. The average FVIII activity of the 11 children was 0.66 (0.5-0.8) IU/dl before and 0.93 (0.5-2.3) IU/dl after exercise. The increase of FVIII in the 11 children as a group was not statistically significant (P = 0.052). There were significant changes of TEG measurements, with shortening of R (P < 0.05), and increase in K decrease (P < 0.05), alpha angle (P < 0.05), maximum amplitude (P < 0.05), and coagulation index (P < 0.01). Among the 11 children, the relative coagulation index increase after exercise was greater than 50% in seven (63.6%), less than 20% in three (27.3%), and less than 10% in one (9.1%). TEG analysis showed that the global hemostatic function for the children with severe hemophilia A can be enhanced after moderate-intensity exercise.
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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) | 0.001 | 0.000 |
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.
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".