Key result
Using Bayesian classification, 25% to 45% of healthy subjects receiving a 300 mg clopidogrel loading dose were objectively classified as pharmacodynamic poor responders.
Why the study?
How can pharmacodynamic poor response to clopidogrel be objectively defined using Bayesian classification?
Population
112 healthy subjects from an integrated database of three Phase 1 clinical pharmacology studies
Comparison
Clopidogrel 300 mg loading dose vs Drug-free baseline
Design
Cohort
Follow-up
24 hours
Authors
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Bayesian classification may standardize clopidogrel response assessment in research; leaves open clinical translation and outcome relevance in patients.
How can pharmacodynamic poor response to clopidogrel be objectively defined using Bayesian classification?
Bayesian classification provides an objective method to define clopidogrel poor responders based on agonist concentration, which may help standardize pharmacodynamic assessments.
Weerakkody et al. (2007) studied Healthy (n=112). Clopidogrel vs. Drug-free baseline was evaluated on Clopidogrel poor responder status based on platelet aggregation. Using Bayesian classification, 25% to 45% of healthy subjects receiving a 300 mg clopidogrel loading dose were objectively classified as pharmacodynamic poor responders.
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