Impact of Procedural Bleeding in Peripheral Artery Disease
Bibliographic record
Abstract
BACKGROUND: The relationship between invasive vascular procedures and bleeding in patients with peripheral artery disease has not been well described in the literature. This post hoc analysis from the EUCLID trial (Examining Use of Ticagrelor in Peripheral Artery Disease) aimed to describe the incidence of major and minor postprocedural bleeding and characterize the timing and severity of bleeding events relative to the procedure. METHODS: EUCLID was a multicenter, randomized controlled trial of 13 885 patients with symptomatic peripheral artery disease that tested the efficacy and safety of ticagrelor compared with clopidogrel for the prevention of major adverse cardiovascular events. A total of 2661 patients underwent 3062 coronary revascularization, peripheral revascularization, and amputation during the study. The primary safety end point was Thrombolysis in Myocardial Infarction major or minor bleeding. All bleeding events were formally adjudicated by a clinical end point classification group. RESULTS: Major bleeding events most often occurred ≤7 days following the procedure. The incidence of Thrombolysis in Myocardial Infarction major or minor bleeding ≤7 days following peripheral revascularization (3.3%; 95% CI, 2.5%-4.1%) was similar to rates after coronary revascularization (4.0%; 95% CI, 2.6%-5.4%) and lower extremity amputation (2.3%; 95% CI, 0.8%-3.8%). The severity of bleeding events (as graded by drop in hemoglobin, need for transfusion, bleeding in a critical location, and fatal bleeding) was also similar following peripheral, coronary revascularization, and lower extremity amputation. CONCLUSIONS: The incidence of Thrombolysis in Myocardial Infarction major/minor bleeding following peripheral revascularization is comparable to rates after coronary revascularization and lower extremity amputation, and the majority of bleeding events occur within 7 days following the procedure. The severity of periprocedural bleeding is also similar after procedures, with the most frequently adjudicated reason being a drop in hemoglobin ≥2 g/dL. Future studies should be performed to enhance our understanding of bleeding risk related to revascularization and amputation procedures in peripheral artery disease patients.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".