The Role of Deconditioning in the End-Stage Renal Disease Myopathy: Physical Exercise Improves Altered Resting Muscle Oxygen Consumption
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Bibliographic record
Abstract
BACKGROUND: Skeletal muscle dysfunction and poor exercise tolerance are hallmarks of end-stage renal disease (ESRD). Noninvasively measured (near-infrared spectroscopy, NIRS) resting muscle oxygen consumption (rmVO2) is a biomarker of muscle dysfunction, which can be applied to study the severity and the reversibility of ESRD myopathy. We tested the hypothesis that deconditioning is a relevant factor in ESRD myopathy. METHODS: The whole dialysis population (n = 59) of two of the eight centers participating into the EXCITE study (ClinicalTrials.gov NCT01255969), a randomized trial evaluating the effect of a home-based exercise program on the functional capacity of these patients was studied. Thirty-one patients were in the active arm (exercise group) and 28 in the control arm (no intervention). Normative data for rmVO2 were obtained from a group of 19 healthy subjects. RESULTS: rmVO2 was twice higher (p < 0.001) in ESRDs patients (0.083 ± 0.034 ml/100 g/min) than in healthy subjects (0.041 ± 0.020 ml/100 g/min) indicating substantial skeletal muscle dysfunction in ESRD. rmVO2 correlated with resting heart rate (r = 0.34, p = 0.009) but was independent of age, dialysis vintage, biochemical, vascular and nutrition parameters. After the 6-month exercise program, rmVO2 reduced to 0.064 ± 0.024 ml/100 g/min (-23%, p < 0.001) in the exercise group indicating that skeletal muscle dysfunction is largely reversible but remained identical in the control group (0.082 ± 0.032 to 0.082 ± 0.031 ml/100 g/min). CONCLUSION: Deconditioning has a major role in ESRD myopathy. rmVO2 is a marker of physical deconditioning and has the potential for monitoring re-conditioning programs based on physical exercise in the ESRD population.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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 it