The Potential of Chronic Hypoxia Biomarkers to Guide Home Oxygen Therapy Prescription in COPD
Bibliographic record
Abstract
Long-term oxygen therapy (LTOT), that is, home oxygen prescribed for at least 15–18 hours per day, improves survival in patients with COPD and severe hypoxemia. LTOT does not benefit all severely hypoxemic patients, however, a large proportion of patients who receive home oxygen do not benefit from therapy, whereas a number of patients who would benefit from home oxygen are denied therapy because they do not meet the current prescription criteria that are accepted worldwide. To overcome this problem, we suggest that the practice of LTOT prescription be individualized. Biomarkers of cellular or vascular dysfunction should complement the mere measurement of P aO 2 or S p O 2 to decide who should receive LTOT. In this article, we present clinical vignettes to illustrate the application of this proposal and describe a protocol for a clinical trial designed to test its validity.
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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 | 0.001 |
| 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".