P252 Gold Category And Optimal Management : A Canadian Perspective
Bibliographic record
Abstract
<h3>Hypothesis</h3> Current Canadian guidelines and GOLD strategy for COPD management provide a treatment algorithm based on current symptoms and exacerbation history. We wished to assess COPD patient current objective, subjective symptoms, quality of life and exacerbation history of a random sample in primary care and office based chest medicine clinics. A convenience sample of 500 was selected. <h3>Results</h3> We report the characteristics of the first 250 COPD patients from our ongoing 500 patient survey. <h3>Basic demographics</h3> 55% Male, 45% Female. Mean age patients 68 ± 12 yrs, all patients were previous smokers with 56 ± 10 pkt/yrs smoking history. 34% remain current smokers. Mean FEV1 48% ± 10%, Mean FEV1/FVC ratio 49% ± 10. Median mMRC dyspnea score 2. Mean CAT score 18 ± 10 (Range 0–38). GOLD Stage Classification 13% GOLD Stage A, 67% GOLD Stage B, 1% GOLD Stage C and 19% GOLD Stage D. <h3>Current treatment</h3> LAMA (long-acting muscarinic antagonist) was prescribed to over 90% of all patients in groups B, C and D whereas monotherapy with LABA (long acting beta-agonist) or dual bronchodilation with LABA/LAMA therapy was prescribed to less than 5%. There was significant overtreatment with ICS/LABA in all categories with high dose ICS (inhaled corticosteroid) being preferred. 20% of patients in GOLD Stage A where receiving Triple therapy (LAMA + ICS/LABA) and a further 20% where receiving monotherapy with ICS/LABA, yet had no history of exacerbations. 30% of patients in GOLD Stage B where receiving Triple therapy (LAMA + ICS/LABA) yet had no history of exacerbations. <h3>Conclusion</h3> Current Canadian Guidelines and the GOLD strategy focus on symptom relief and striving to prevent exacerbations with step-wise prescription of short and long-acting bronchodilators with individual or combinations of LAMA, LABA, LAMA/LABA or ICS/LABA inhalers. Patients in GOLD Group C are rare. Current prescription choices in our survey does not reflect current evidence or guidelines. We report a heavy reliance on ICS/LABA along with over prescription of triple therapy at all stages of disease.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".