Abstract 15758: Platelet Aggregation is Elevated in Psoriasis and Associated With Cardiovascular Risk
Bibliographic record
Abstract
Introduction: Psoriasis is associated with increased CV risk the mechanisms and prevention of which are not fully known. We evaluated the platelet phenotype (implicated in atherothrombosis) and in vitro response to aspirin in patients with psoriasis and its association with vascular stiffness and coronary atherosclerosis. Methods: Patients with psoriasis (n = 64, age 47.9 ± 15 years, 65% male), percent body surface area (BSA) of psoriasis 3%, were compared to controls (n = 40, age 40.8 ± 16 years, 45% male). Percent platelet aggregation in response to agonists adenosine diphosphate (ADP), collagen (Col), and arachidonic acid (AA - with and without aspirin) was measured in freshly isolated platelet-rich plasma via light transmission aggregometry (LTA). Vascular stiffness (via pulse wave velocity [PWV]) and CT coronary angiography were each performed as readouts of CV risk. Results: Compared to controls, psoriasis patients were older, of Caucasian ethnicity (Figure 1A), and overweight, but otherwise similar. Platelet aggregation after treatment with Col (p=0.01), ADP (p < 0.01), and AA (p = 0.05) were all higher in psoriasis vs. control (Figure 1B-D). Platelet aggregation after activation with high dose AA was similar between groups (Figure 1E) however co-incubation with high dose AA plus aspirin displayed incomplete platelet inhibition of psoriasis platelets vs. controls (Figure 1F). Platelet aggregation to low dose AA and high dose AA plus aspirin co-incubation were each higher in those with enhanced vascular stiffness (figure 1G/1H) and the presence of coronary plaque (Figure 1I/1J). Conclusion: Platelet aggregation is consistently elevated in psoriasis across a variety of agonists, incompletely inhibited by aspirin, and associated with biomarkers of CV risk such as vascular stiffness and the presence of coronary plaque. These findings highlight the need to evaluate various anti-platelet strategies to reduce atherothrombotic risk in patients with psoriasis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".