Recovery of the ability to perform activities of daily living (ADL) following an acute exacerbation of COPD (AECOPD)
Bibliographic record
Abstract
Background : AECOPD decreases lung function, increases dyspnea and muscle weakness and makes physical activity difficult. Performing ADL can be difficult during recovery. Purpose: An observational study to objectively measure the ability to perform ADL following AECOPD. Methods : Subjects with AECOPD completed the 10 item Physical Functional Performance Test (PFP) and CRQ quality of life questionnaire, at hospital discharge and at 1 and 2 months post-discharge. The PFP assesses 5 physical capacity domains based on the time and weight carried during 10 typical ADL, including the 6 minute walk test (6MWT). Results shown are the mean +/- (SD). Results : 24 subjects (13 males), age 72.5 (9.5) years, FEV1 %predicted 45 (20), were recruited during hospital admission for AECOPD. 88% had > 2 co-morbidities. All were community dwelling: 17 lived with a spouse or family member, 7 lived alone.14 subjects had a new AECOPD during the 2-month follow-up (f/u). 10 subjects completed both f/u assessments, 4 lived alone. In these 10 subjects, spirometry and lung volumes were stable throughout the study. The PFP score increased from discharge to the 1 st f/u visit and then plateaued. At discharge, 5/10 subjects attempted the 6MWT. All completed the test at the 1 st f/u. The distance increased from 174 (118) m to 233 (109) m at the 1 st f/u and then plateaued. Clinically significant improvements in the CRQ scores occurred between discharge and the 1st f/u. Conclusion : At our institution, community dwelling elderly subjects admitted to hospital with AECOPD were frail and prone to re-exacerbation. In this group, recovery of the ability to perform ADL plateaued at 1 month after discharge.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".