Prognostic significance of blood markers of inflammation in patients with ST-segment elevation myocardial infarction undergoing primary angioplasty and effects of pexelizumab, a C5 inhibitor: a substudy of the COMMA trial
Bibliographic record
Abstract
AIMS: Pexelizumab, a monoclonal antibody inhibiting C5, reduced 90 day mortality and shock in the COMplement inhibition in Myocardial infarction treated with Angioplasty (COMMA) trial without apparent reductions in infarct size. Inflammation is a critical component of ST-elevation myocardial infarction (STEMI); this substudy examines prognostic values of selected markers and treatment effects. METHODS AND RESULTS: C-reactive protein, interleukin-6 (IL-6), and tumour necrosis factor-alpha (TNF-alpha) serum levels were assessed in 337 patients enrolled in either the placebo or the pexelizumab 24 h infusion group. Higher C-reactive protein and IL-6 levels at baseline, 24 h, and 72 h were strongly associated with increased subsequent death (P<0.002 at baseline and 24 h, P<0.02 at 72 h); and all baseline marker levels with death or cardiogenic shock (P<0.03) within 90 days. C-reactive protein and IL-6 levels were similar at baseline, but significantly lower 24 h later with pexelizumab, when compared with placebo (17.1 vs. 25.5 mg/L, P=0.03 and 51.0 vs. 63.8 pg/mL, P=0.04, respectively). At 72 h, corresponding levels were similar, whereas TNF-alpha was slightly higher (P=0.04) in the treated group. CONCLUSION: Inflammation markers and their serial changes predict death and shock in patients with STEMI undergoing primary angioplasty. Pexelizumab reduced C-reactive protein and IL-6, suggesting treatment benefits mediated through anti-inflammatory effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".