Abstract 5008: Effect of Clopidogrel Discontinuation on Platelet Function
Bibliographic record
Abstract
Objective: Clopidogrel discontinuation is associated with increased incidence of ischemic events, which may signal a pharmacological rebound. We evaluated the impact of clopidogrel discontinuation on platelet function in CAD patients. Methods: Platelet aggregation was measured by VerifyNow ® P2Y 12 and by light transmission aggregometry (LTA) in response to ADP 1, 2, 3, 5, 10, and 20 μ M, in 37 CAD patients scheduled to discontinue clopidogrel treatment (aspirin treated patients clinically stable 1 year after clopidogrel initiation), and 37 CAD patients not taking clopidogrel. Platelet function was assessed the day before clopidogrel cessation and 1, 3, 7, 14, 21, 28 days after. Results: Subjects were on average 65±10 years old, and presented classic CAD risk factors similarly treated between groups. Subjects discontinuing clopidogrel were more likely to have undergone stenting. VerifyNow ® P2Y 12 did not detect any rebound platelet activity, but ADP-induced LTA showed significant increase in platelet aggregation, particularly at low ADP levels, suggestive of platelet hypersensitivity (Fig ). Rebound platelet activity was detectable at 7 days after clopidogrel cessation, and remained higher than in controls 28 days of discontinuation. No clinical events were seen at 28 days in either group. Conclusion: Platelet sensitization to ADP as a consequence of chronic clopidogrel administration may partially explain the recrudescence of ischemic events following clopidogrel discontinuation in otherwise stable CAD patients. Further research into the pathophysiological processes of platelet function recovery is required. Figure: Platelet aggregation as a function of time
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.003 | 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".