Improvement in exercise duration and capacity after conversion to nocturnal home haemodialysis
Bibliographic record
Abstract
BACKGROUND: Patients with end-stage renal disease (ESRD) have a reduced exercise capacity as assessed by peak oxygen uptake (VO2peak). Nocturnal haemodialysis (NHD) augments uraemic clearance and vascular responsiveness to nitric oxide and lowers blood pressure (BP) and peripheral resistance. METHODS: To assess the impact of NHD on exercise duration and capacity, 13 consecutive ESRD patients [age: 41 +/- 3; (mean +/- SEM)] and healthy normal subjects (n = 14) matched for age and body mass index exercised to peak effort (VO2peak) as determined by open-circuit spirometry during a graded cycle ergometer test with a ramp increase in work rate (by 17 watts/min). RESULTS: Exercise was performed before, 2 and 3-6 months after conversion from conventional haemodialysis (CHD) (3 sessions per week; 4 h per session) to NHD (5-6 sessions per week; 6-8 h per session). Exercise duration increased progressively [from 617 +/- 50 (CHD) to 634 +/- 47 (NHD 2 months) to 682 +/- 55 [NHD 3-6 months], P = 0.03) as did exercise capacity, expressed as percent of predicted (based on age, sex and body size) VO2peak, [from 66 +/- 8 (CHD) to 72 +/- 6 (NHD 2 months) to 75 +/- 6% (NHD 3-6 months), P < 0.05). CONCLUSION: Enhanced uraemia control by NHD improved both exercise duration and capacity. When coupled with augmented uraemia management, an increase in physical activity, perhaps due to more effective oxygen delivery or improved muscle metabolism, has the potential to improve the quality of life of patients with ESRD.
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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".