Femoral vascular closure device use, bivalirudin anticoagulation, and bleeding after primary angioplasty for STEMI: Results from the <scp>HORIZONS</scp>‐<scp>AMI</scp> trial
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To assess the relationship of femoral vascular closure device (VCD) use to bleeding and ischemic events in patients undergoing primary percutaneous coronary intervention (PCI) for ST-segment elevation myocardial infarction (STEMI) via different anticoagulation strategies. BACKGROUND: It is unknown whether femoral VCD reduce major bleeding after primary PCI for STEMI using bivalirudin anticoagulation. METHODS: We compared VCD-treated patients with propensity-matched controls in the HORIZONS-AMI trial with respect to net adverse clinical events (NACE), defined as the composite of major bleeding unrelated to coronary artery bypass graft surgery (CABG) and major adverse cardiac events (comprised of death, reinfarction, ischemia-driven target vessel revascularization, and stroke), at 30 days and 1 year. RESULTS: Among 3,602 patients enrolled in HORIZONS-AMI, 2,948 underwent primary PCI via femoral arterial access and 896 (30%) received VCDs, of whom 642 were included in our model along with 642 propensity-matched controls. At 30 days, VCD-treated patients had significantly less NACE (6.7% vs. 10.8%, HR: 0.61, 95% CI: 0.42-0.89, P = 0.009), driven by a lower rate of non-CABG related major bleeding (5.0% vs. 8.1%, HR: 0.61, 95% CI: 0.39-0.94, P = 0.02). Bleeding reduction was maintained at one year and consistent in magnitude regardless of randomization to bivalirudin or unfractionated heparin plus a glycoprotein IIb/IIIa inhibitor (P for interaction = 0.84). CONCLUSION: In patients undergoing transfemoral primary PCI for STEMI, VCD use was associated with significantly lower non-CABG major bleeding irrespective of anticoagulation strategy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it