Abstract TP415: Coated-Platelet Levels Are Elevated Among Native American Veterans With Vascular Risk Factors and Silent Brain Infarction
Bibliographic record
Abstract
Background: Coated-platelets, a subset of procoagulant platelets observed upon dual agonist stimulation with collagen and thrombin, are elevated in patients with incident and recurrent stroke/TIA and mild cognitive impairment. We now report the association between coated-platelets and brain imaging correlates of vascular cognitive impairment in a pilot study of cognitive impairment among Native Americans Veterans. Methods: Coated-platelets, reported as percentage of cells converted to coated-platelets, were assayed in 60 Native American veterans with ≥2 vascular risk factors. The Montreal Cognitive Assessment (MoCA) and the Beck Depression Inventory-II were administered to screen for cognitive impairment and depression. Brain CT or MRI performed within 12 months of enrollment were reviewed for silent brain infarction (SBI), small vessel disease and/or atrophy. SBI was defined as focal, ≥ 3mm, cavitary lesion with T1 hypointensity and T2 hyperintensity features on MRI or hypodense on CT and not associated with stroke history or focal neurologic findings. Differences in mean coated-platelet levels by imaging results were determined using the Kruskal-Wallis test. Results: MoCA scores were abnormal (<26) in 23 of 51 subjects (44%, 95%CI: 30%-59%) after excluding 9 with depression. Brain imaging was available for 36 subjects (97% male, mean age 63 range 50-86). Twelve (33%, 95%CI: 19%-51%) had normal results, 19 (53%, 35%-70%) had small vessel disease and/or atrophy, and 5 (14%, 5%-30%) had SBI. Median coated-platelets were significantly higher among those with SBI (51%, IQR 48%-59%) versus those without SBI having either normal results (36.5%, IQR 30.5%-48.1%) or small vessel disease and/or atrophy (33.6%, IQR 24.4%-47.3%), overall p=0.045. Conclusion: Platelet procoagulant potential is increased among Native American veterans with vascular risk factors and SBI versus those with normal scans or with small vessel disease and/or atrophy. These results suggest a role for coated-platelets as a biomarker of SBI in vascular cognitive impairment, and are consistent with previous findings of increased risk of ischemic stroke among non-Native Americans. Further studies are warranted to confirm these results and explore mechanisms involved.
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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 | 0.001 | 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".