Abstract 113: Platelet and Monocyte Activity in Carotid Artery Stenosis Treated with Carotid Endarterectomy
Bibliographic record
Abstract
Background: Carotid artery stenosis (CAS) is a marker of atherosclerosis, a disease mediated by abnormalities in platelet and monocyte function, and a significant cause of stroke. Moreover, the effect of carotid artery revascularization via carotid endarterectomy (CEA) on platelet and monocyte markers is unknown. Objective: This study aims to investigate platelet activity, monocyte subsets and monocyte platelet aggregates (MPA) in CAS and changes with CEA. Methods: This prospective cohort study evaluated 48 patients who underwent non emergent CEA. Peripheral venous blood samples were obtained before, immediately postoperative and at 24 hours postoperative. Twenty healthy subjects served as controls. Platelet surface expression of P-selectin and PAC-1, monocyte subsets, and MPA were assessed using flow cytometry. Three distinct monocyte subsets were measured: anti-inflammatory (i.e. classical CD14 ++ CD16 - ) and pro-inflammatory (i.e. intermediate CD14 ++ CD16 + and nonclassical CD14 + CD16 ++ ) monocytes. Differences between two matched samples and between the study and control groups were statistically analyzed. Results: Compared to healthy subjects, CAS subjects had significantly greater markers of platelet activity (P-selectin [p=0.003] and PAC-1 [p=0.01]), pro-inflammatory monocytes (intermediate [p<0.0001] and nonclassical [p=0.009]) and MPA (p=0.0002). Following CEA, anti-inflammatory monocytes increased and pro-inflammatory monocytes decreased (Figure 1A). Platelet expression of P-selectin and MPA did not change, while PAC-1 transiently increased but then returned to baseline by 24 hours postoperative (Figure 1B &C). Conclusions: Subjects with CAS have elevated markers of thrombosis, inflammation, and their interface. However, only the pro-inflammatory monocytes are significantly reduced following CEA. Future studies investigating the clinical consequences of this reduction are warranted.
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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 | 0.000 | 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) | 0.002 | 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".