Switching to the Dry Powder Inhaler: Disease Control with a Lower Carbon Footprint
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Dry powder inhalers (DPIs) have a 20-40-fold lower carbon footprint compared to pressurized metered-dose inhalers (pMDIs). Switching from pMDI to DPI is therefore beneficial from an environmental perspective, but many health care professionals are concerned that this may worsen treatment outcomes in asthma and chronic obstructive pulmonary disease (COPD). METHODS: We analyzed patient outcomes and carbon footprints of switching inhaler treatment from pMDI to DPI. We performed a post hoc analysis on clinical outcomes data from a 12-week real-world, non-interventional study of adult patients with asthma or COPD who switched treatment from pMDI to the budesonide-formoterol Easyhaler DPI. Clinical end points included asthma control test (ACT), Mini-Asthma Quality of Life Questionnaire (Mini-AQLQ), lung function tests, and reliever use (asthma), and COPD assessment test (CAT), and modified Medical Research Council dyspnea scale (mMRC) (COPD). In the carbon footprint calculation, we used estimates from the Montreal Protocol for pMDI and for DPI the estimate as reported. RESULTS: e annually. This is of similar magnitude, as individual high-impact environmental actions such as eating a plant-based diet or purchasing green energy. CONCLUSIONS: Our results show that disease control was maintained among patients with asthma or COPD when they switched from pMDI to DPI, while the carbon footprint of inhaler treatment was reduced.
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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 it