Vext - A Virtual Exercise Training Program For Pediatric Solid Organ Transplant Recipients: A Feasibility Study.
Bibliographic record
Abstract
Pediatric solid organ transplant (SOT) recipients report lower strength and physical activity levels than their healthy peers. Virtual exercise programs may reduce barriers to exercise and allow for additional access to specialized care. PURPOSE: To determine the feasibility of an 8-week virtual exercise program (VEXT) in pediatric solid organ transplant recipients. METHODS: A strength-based program was designed by a clinical exercise physiologist (AD). A treadmill exercise stress test was completed prior to starting the program. Self-report surveys were used to assess quality of life (Pediatric Quality of Life Inventory, PedsQL), fatigue (Pediatric Quality of Life Multidimensional Fatigue Scale, PedsQL-Fatigue), and physical activity (Physical Activity Questionnaire for Children and Adolescents, PAQ-C/A) prior to and after completion of the program. The strength sub-test of the Bruininks-Oseretsky Test of Motor Proficiency (BOT-2) was administered virtually. Classes were conducted via Zoom (Zoom Video Communications Inc, San Jose, CA), 3 times per week for 30 minutes. Weekly engagement with the study team was provided by a web-based text messaging platform (WelTel Inc., Vancouver, BC). Medians (inter-quartile range, IQR) are reported. RESULTS: Baseline findings are reported for 12 participants (4 liver, 5 kidney, 3 heart SOT recipients; 58% females). The median age was 12 (11-14) years. PedsQL score was [69.57 (55.98-79.89); Normal: 85.66 ± 11.99]. PedsQL-Fatigue score was [66.67 (45.84-76.89); Normal: 82.19 ± 12.27]. PAQ-C/A score was [Females: 1.72 (1.27-2.11); Normal: 2.70 ± 0.63, Males: 2.87 (2.60-2.87); Normal: 3.01 ± 0.72]. The median strength subtest Z-score was -1.00 (-1.35 to -0.60). Exercise times for 10 of the participants who followed the BCCH protocol was 7.04 minutes [(5.68 - 8.86); Controls: 15.25 (13.82 - 16.75)]. The remaining 2 participants followed a modified protocol due to physical limitations. CONCLUSIONS: At baseline, pediatric SOT recipients report a lower quality of life, higher fatigue, and lower physical activity levels than healthy children. Eleven of twelve participants have a low strength score. A virtual exercise program may help to increase strength, increase physical activity levels and, in turn, may improve quality of life in these children.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".