Effect of early tirofiban administration on N‐terminal pro‐B‐type natriuretic peptide level in patients treated with primary percutaneous coronary intervention
Bibliographic record
Abstract
OBJECTIVES: To investigate the potential association between early tirofiban treatment and N-terminal pro-B-type natriuretic peptide (NT-proBNP) level after primary percutaneous coronary intervention (PCI). BACKGROUND: Whether the use of adjunctive early glycoprotein IIb/IIIa inhibitors (GPIs) therapy, may affect the level of NT-proBNP after primary PCI is poorly studied. METHODS: Nine hundred and eighty four ST-elevation myocardial infarction (STEMI) patients undergoing primary PCI were randomized to either pre-hospital tirofiban administration or placebo. NT-proBNP levels were evaluated on admission before angiography (baseline) and 18-96 hr after PCI. RESULTS: There were 918 (93.3%) patients with NT-proBNP values available at baseline and 865 (87.9%) post-PCI. Post-PCI NT-proBNP level dichotomized with median value as cut-off (968.8 pg/mL, IQR 430.9-1970.0) was significantly lower in patients treated with early tirofiban as compared to placebo (45.5% vs. 54.2% P = 0.011). At multivariate logistic regression analysis, independent predictors of post-PCI NT-proBNP level above the median were: NT-proBNP baseline level (OR 5.19; 95% CI, 2.92-9.25, P < 0.001), Killip class>I (OR 4.07; 95% CI 1.24-13.36, P = 0.021), anterior infarct location (OR 2.61; 95% CI 1.84-3.70, P < 0.001), age (years) (OR 1.04; 95% CI 1.03-1.06, P < 0.001), male gender (OR 0.38; 95% CI 0.26-0.57, P < 0.001), prior PCI (OR 0.49; 95% CI 0.27-0.90, P = 0.021) and tirofiban administration (OR 0.71; 95% CI 0.51-0.99; P = 0.045). CONCLUSIONS: In a large cohort of STEMI patients, pre-hospital tirofiban administration was independently associate with a lower risk of high NT-proBNP level after primary PCI, supporting the potential benefit of early antithrombotic treatment administration in STEMI patients. The trial is registered under No. ISRCTN06195297.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".