Ecological footprint of salbutamol administration by metered-dose inhaler versus nebulisation in acute asthma: a life-cycle assessment
Why this work is in the frame
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Bibliographic record
Abstract
Objective The scientific evidence indicates little or no difference in the effectiveness or cost of using of metered-dose inhalers (MDIs) versus nebulisation to treat acute asthma in the emergency department (ED). However, the use of MDIs raises questions of environmental impact. Our objective was to compare the ecological footprint of salbutamol administered by MDI versus nebulisation. Design Life cycle assessment in which we inventoried and quantified the resources extracted and pollutants emitted by each therapeutic option, from the manufacturing of medication and equipment to their disposal by incineration. Setting EDs of the CHU de Québec-Université Laval (Canada). Participants Not applicable. Main outcome measures Each item of life cycle inventory data was translated into CO 2 -equivalent emissions (CO 2 eq) using the IPCC2021/GWP100 method. Results were estimated for the administration of one and three treatments of 800 µg of salbutamol by MDI and 5 mg by nebulisation (standard doses for adults and children ≥ 24 kg). Results One and three ED-administered treatments with salbutamol emit respectively 1.9 and 4.0 kg of CO 2 eq via MDI versus 0.9 and 1.0 kg via nebulisation, which corresponds to 5.5 and 11.6 km and to 2.7 and 2.8 km travelled in a subcompact car. Each series of eight inhalations from an MDI releases 1.1 kg of CO 2 eq due to emission of the hydrofluoroalkane propellant. Conclusions Considering the absence or minimal difference in clinical effectiveness, this study suggests that nebulisation may be a more eco-efficient administration route than MDIs in the emergency treatment of asthma. Trail registration: N/A
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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