Normal Response to Aspirin in Healthy Individuals: Cross-Comparison of Light Transmission Aggregometry, VerifyNow™ System, Platelet Count Drop, Thrombelastography (TEG®) and Urinary 11-dehydrothromboxane B2.
Bibliographic record
Abstract
Abstract Aspirin resistance is often defined as failure to demonstrate an inhibitory effect of aspirin on standard platelet function assays. Although many studies have been published on this phenomenon, the performance of individual assays to detect actual aspirin effects is poorly defined. The aim of this study is to define the sensitivity and potential limitations of five different assays of platelet function on detecting aspirin effects. A prospective cohort of 45 healthy volunteers consented to taking 80 mg of non-coated aspirin for 8–10 days. Participants were selected if they were non-smokers, did not present any significant medical condition and were excluded if they had ingested any potential drug / supplement known to effect platelet function in the past 10 days or were found to have abnormal blood counts. Samples were collected immediately prior to the first aspirin dose and repeated after 8 to 10 days of aspirin therapy. The study population consisted of 16 males and 29 females, 19 to 59 years of age without acquired cardiovascular risk factors and a mean BMI of 24,1 (range: 18,8–32,5). Study drug intake was carefully monitored by patient questionnaire and unused pill count at the second study visit. Partial non compliance was identified in 4 participants (1–2 missed doses) although no missed doses occurred in the last 3 days of the study. Mean delay between the last aspirin dose and the post study sample was 221 minutes (range 60 to 720 min, 5 patients with delays over 6 hours). Test characteristics and performances in detecting aspirin intake in our population are resumed in the table below. Conclusion: Although aspirin clearly has an effect in all the assays tested, the broad distribution of values with LTA-ADP, platelet count drop, TEG-MA(AA) and urinary dTxB2 does not allow accurate discrimination of aspirin effects in healthy individuals. Considering their adequate distinction between subjects on and off aspirin, we suggest that LTA-AA and the VerifyNow assay should be preferred in studies evaluating aspirin effect and potential resistance to this drug. Findings such as ours should serve to better define the limitations of laboratory studies of platelet function for the assessment of aspirin effects. Table 1. Test performance characteristics LTA-AA 1,6 mM (%) LTA-ADP 10 umol (%) VerifyNow (ARU) Platelet count drop (%) TEG-MAAA(%) dTxB2 (pg/ml) * 95% confidence intervals; **paired t-test, ***as suggested by Gum et al, ¤as suggested by manufacturer, 2best fit on ROC curve Prior to ASA 61,2 (33,9;88,4)* 74,2 (35,1;113,3) 634,5 (564,8;704,3) 74,9 (35,3;114,4) 100,6 (27,2;174) 240,8 (0;821) After ASA 2,4 (0;7,9) 40,4 (0;85,8) 407,9 (355,7;460,1) 41,5 (8,8;74,3) 53,2 (−44,4;150,8) 115 (0;407,9) p value** <10e-29 <10e-13 <10e-32 <10e-10 <10e-7 <10e-6 Proposed cut-off values < 20%*** < 70%*** <550 ARU¤ <55%2 < 90%2 < 602 Sensitivity 100 % 84,4 % 100 % 82,2 % 82,9 % 62,2% Specificity 95,6 % 77,8 % 95,6 % 86,7 % 75,8 % 82,2%
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".