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 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 | 0.001 |
| 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 | 0.000 | 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".