Resource Use Study in COPD (RUSIC): A prospective Study to Quantify the Effects of COPD Exacerbations on Health Care Resource Use Among COPD Patients
Bibliographic record
Abstract
BACKGROUND: There is increasing interest in health care resource use (HRU) in Canada, particularly in resources associated with acute exacerbations of chronic obstructive pulmonary disease (COPD). OBJECTIVE: To identify HRU due to exacerbations of COPD. METHODS: A 52-week, multicentre, prospective, observational study of HRU due to exacerbations in patients with moderate to severe COPD was performed. Patients were recruited from primary care physicians and respirologists in urban and rural centres in Canada. RESULTS: In total, 524 subjects (59% men) completed the study. Their mean age was 68.2+/-9.4 years, with a forced expiratory volume in 1 s of 1.01+/-0.4 L. Patients had significant comorbidities. There were 691 acute exacerbations of COPD, which occurred in 53% of patients: 119 patients (23%) experienced one acute exacerbation, 70 patients (13%) had two acute exacerbations and 89 patients (17%) had three or more acute exacerbations. Seventy-five patients were admitted to hospital, with an average length of stay of 13.2 days. Fourteen of the patients spent time in an intensive care unit (average length of stay 5.6 days). Factors associated with acute exacerbations of COPD included lower forced expiratory volume in 1 s (P<0.001), high number of respiratory medications prescribed (P=0.037), regular use of oral corticosteroids (OCSs) (P=0.008) and presence of depression (P<0.001). Of the 75 patients hospitalized, only 53 received OCSs, four received referral for rehabilitation and 15 were referred for home care. CONCLUSIONS: The present study showed a high prevalence of COPD exacerbations, which likely impacted on HRU. There was evidence of a lack of appropriate management of exacerbations, especially with respect to use of OCSs, and referral for pulmonary rehabilitation and home care.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".