Development of a functional point-of-need diagnostic for myeloperoxidase detection to identify neutrophilic bronchitis
Bibliographic record
Abstract
With over 4.8 million Canadians suffering from chronic airway diseases, respiratory exacerbations are currently the leading cause of hospitalization in Canada. In cases of bacterial infection, neutrophil cell density increases from ∼10 million cells per gram to over 15 million cells per gram. As sputum is a direct discharge from the primarily affected areas of respiratory diseases, quantification of granulocytes (including neutrophils) can be used to effectively determine a course of patient treatment. Unfortunately this quantification is currently limited to labour-intensive and time-consuming cell counts. In the present study, we describe a simple one-step lateral flow test (LFT) that can semi-quantitatively determine myeloperoxidase (MPO), a biomarker found in neutrophils, in minimally-processed sputum samples. This point-of-need (PON) diagnostic device provides positive results observable to the naked eye after 15 minutes. 37 human sputum samples were quantified for MPO using the developed LFT and compared to neutrophil levels quantified through traditional cell counting. A trend between sputum MPO concentration and total neutrophils was observed, suggesting that the LFT has the potential to replace cell counting for neutrophil approximation to aid in directing therapies quickly at the point of need.
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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".