Inhaled Corticosteroid Treatment in Chronic Obstructive Pulmonary Disease (COPD): Boon or Bane?
Bibliographic record
Abstract
Inhaled corticosteroid (ICS)-based therapy is often used for patients with chronic obstructive pulmonary disease (COPD). However, this approach is under scrutiny because of ICS overuse in patients for whom it is not recommended and because of concerns about adverse events, particularly pneumonia, with long-term ICS use. Evidence suggests ICS may be beneficial in specific patients, namely, those with high blood eosinophil counts (eg, ≥300 cells/µL) or who are at a high risk of exacerbations. According to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2020 ABCD assessment tool, these patients belong in group D. For these patients, recommended initial treatment includes ICS in combination with long-acting β2-agonists (LABAs) when blood eosinophil counts are ≥300 cells/µL or LABA + long-acting muscarinic antagonist (LAMA) when patients are highly symptomatic, that is, with greater dyspnea and/or exercise limitation. Follow-up treatments for patients with persistent dyspnea and/or exacerbations may include LABA + ICS, LABA + LAMA, or LABA + LAMA + ICS, with use of ICS being guided by blood eosinophil counts. In this review, differences in the inflammatory mechanism underlying COPD and asthma and the role of ICS treatment in COPD are summarized. Furthermore, findings from recent clinical trials where use of ICS-based dual or triple therapy in COPD was compared with LABA + LAMA therapy and trials in which ICS withdrawal was evaluated in patients with COPD are reviewed. Finally, a step-by-step guide for ICS withdrawal in patients who are unlikely to benefit from this treatment is proposed. A video of the author discussing the overall takeaway of the review article could be downloaded from the link provided: https://www.youtube.com/watch?v=Uq7Sr5jqPDI.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".