Mental Stress-Induced Platelet Activation Among Patients With Coronary Artery Disease
Bibliographic record
Abstract
Objective: To study patients with coronary artery disease (CAD) scheduled for coronary angioplasty and to examine platelet activation in response to mental stress as a potential mechanism involved in the association between psychosocial factors and cardiac outcomes. Psychosocial factors have been identified as risk factors for CAD and adverse cardiac outcomes, although the underlying mechanisms are poorly understood. Methods: Markers of platelet activation and platelet reactivity in response to experimentally induced mental stress (mental arithmetic and anger recall) were examined, using flow cytometry analysis and β-thromboglobulin (BTG) assays among 249 CAD patients (age = 60.3 ± 9.0 years, 15% women) who were scheduled to undergo elective percutaneous coronary intervention. Results: Mental stress-induced increases in platelet activation (CD41 (GP IIb/IIIa), p = .002; percent of mononuclear cells positive for CD41, p = .01; CD62P (P-selectin) expression, p = .005; and percent platelets positive for CD62P, p < .001). The degree of platelet reactivity was not related to demographic, clinical, or psychological variables, or cardiovascular hemodynamic changes. Conclusions: Experimentally induced mental stress induced platelet activation in patients with CAD. This mechanism may partially explain the link between psychosocial variables and the development of adverse cardiac outcomes in patients with CAD. ACE = angiotensin-converting enzyme; ASA = acetylsalicylic acid; CAD = coronary artery disease; BDI = Beck Depression Inventory; BP = blood pressure; bpm = beats per minute; BTG = β-thromboglobulin; DBP = diastolic blood pressure; FDR = false discovery rate; GP = glycoprotein; HR = heart rate; MLD = minimum lumen diameter; MI = myocardial infarction; MNC = mononuclear cells; NE = norepinephrine; PCI = percutaneous coronary interventions; SBP = systolic blood pressure; STAEI = State-Trait Anger Expression Inventor.
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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) | 0.001 | 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".