The Effects of Fluticasone with or without Salmeterol on Systemic Biomarkers of Inflammation in Chronic Obstructive Pulmonary Disease
Bibliographic record
Abstract
RATIONALE: Small studies have suggested that inhaled corticosteroids can suppress systemic inflammation in chronic obstructive pulmonary disease (COPD). OBJECTIVES: To determine the effect of inhaled corticosteroids with or without long-acting beta(2)-adrenergic agonist on systemic biomarkers of inflammation. METHODS: We conducted a double-blind randomized placebo-controlled trial across 11 centers (n = 289 patients with FEV(1) of 47.8 +/- 16.2% of predicted) to compare the effects of inhaled fluticasone alone or in combination with salmeterol against placebo on circulating biomarkers of systemic inflammation over 4 weeks. The primary endpoint was C-reactive protein (CRP) level. Secondary molecules of interest were IL-6 and surfactant protein D (SP-D). MEASUREMENTS AND MAIN RESULTS: Neither fluticasone nor the combination of fluticasone/salmeterol had a significant effect on CRP or IL-6 levels. There was, however, a significant reduction in SP-D levels with fluticasone and fluticasone/salmeterol compared with placebo (P = 0.002). Health status also improved significantly in both the fluticasone and fluticasone/salmeterol groups compared with placebo, driven mostly by improvements in the symptom scores. Changes in the circulating SP-D levels were related to changes in health status scores. FEV(1) improved significantly only in the fluticasone/salmeterol group compared with placebo. CONCLUSIONS: ICS in conjunction with long-acting beta(2)-adrenergic agonist do not reduce CRP or IL-6 levels in serum of patients with COPD over 4 weeks. They do, however, significantly reduce serum SP-D levels. These data suggest that these drugs reduce lung-specific but not generalized biomarkers of systemic inflammation in COPD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| 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".