Reliability Of Quadriceps Isokinetic Endurance Test In Patients With Chronic Obstructive Pulmonary Disease (COPD): A Comparison Of Angular Velocities
Bibliographic record
Abstract
Rationale: Although quadriceps isokinetic endurance tests are useful to study the mechanisms of lower limb muscle dysfunction in COPD, data on their reliability when performed at different angular velocities are still lacking in patients with COPD. Objectives: to determine and compare the test-retest reliability of quadriceps isokinetic endurance testing at two knee angular velocities in patients with COPD. Methods: After one familiarization session, 15 patients with moderate to severe COPD (age = 65 ± 1 years; FEV = 55 ± 5 % predicted) 1 performed two quadriceps isokinetic endurance tests, on two separate occasions within a 7-days interval. Quadriceps isokinetic endurance tests consisted in 30 maximal knee-extensions at angular velocities of 90°/s and 180°/s, performed in random order. Test-retest reliability was assessed for muscle endurance (muscle total work), work fatigue index (ratio of the muscle work performed during the last 10 repetitions to the work during the first 10 repetitions) and variations in dyspnea and leg fatigue Borg score from rest to end of the test. Relative reliability was determined by intraclass correlation coefficient (ICC), whereas absolute reliability was calculated from the coefficients of variation (CV) and limits of agreement expressed in % of mean difference. Results: High relative (ICC > 0.9) and absolute test-retest reliability were identified for muscle total work at both velocities. Work fatigue index was considered reliable at 90°/s but not at 180°/s (see table 1). A lower reliability was identified for dyspnea and leg fatigue scores at both angular velocities. Conclusions: In patients with COPD, isokinetic total work of the lower limb muscles was consistent and reproducible across the two velocities of contraction. However, work fatigue index was only reliable at the lower contraction velocity. Therefore, our results support the assessment of quadriceps endurance at an angular velocity of 90°/s in isokinetic endurance tests. Irrespective of angular velocity applied, reliability of dyspnea and leg fatigue perception was low, making their assessment during isokinetic endurance tests more uncertain. This abstract is funded by: Fondation JD Bégin de l'Université Laval Canadian Lung Association / Canadian Respiratory Health Professionals
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".