1. Derivation, Validation, and Prognostic Utility of a Prediction Rule for Nonresponse to Clopidogrel
- Author
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Dominick J. Angiolillo, Davide Capodanno, Thomas O. Bergmeijer, Tabassome Simon, Dirk Sibbing, Nicolas Danchin, Jurriën M. ten Berg, Matthew J. Price, Centre de Ressources Biologiques APHP-SU (PASS-CRB-APHP-SU), Unité Mixte de Service Production et Analyse de données en Sciences de la vie et en Santé (PASS), and Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)
- Subjects
MESH: Coronary Thrombosis ,[SDV]Life Sciences [q-bio] ,030204 cardiovascular system & hematology ,outcomes ,MESH: Risk Assessment ,0302 clinical medicine ,P2Y12 ,MESH: Risk Factors ,risk factors ,MESH: Obesity ,030212 general & internal medicine ,Myocardial infarction ,MESH: Treatment Outcome ,2. Zero hunger ,MESH: Aged ,Framingham Risk Score ,MESH: Middle Aged ,Clopidogrel ,MESH: Predictive Value of Tests ,3. Good health ,MESH: Reproducibility of Results ,MESH: Myocardial Infarction ,MESH: Platelet Aggregation Inhibitors ,MESH: Drug Resistance ,MESH: Purinergic P2Y Receptor Antagonists ,Cardiology and Cardiovascular Medicine ,MESH: Percutaneous Coronary Intervention ,medicine.drug ,medicine.medical_specialty ,MESH: Diabetes Mellitus ,MESH: Renal Insufficiency, Chronic ,CYP2C19 ,genetic testing ,MESH: Body Mass Index ,MESH: Clinical Decision Rules ,03 medical and health sciences ,Internal medicine ,Diabetes mellitus ,medicine ,cardiovascular diseases ,MESH: Age Factors ,clopidogrel ,MESH: Pharmacogenomic Variants ,MESH: Humans ,business.industry ,MESH: Time Factors ,MESH: Clopidogrel ,medicine.disease ,MESH: Databases, Factual ,MESH: Male ,MESH: Randomized Controlled Trials as Topic ,MESH: Cytochrome P-450 CYP2C19 ,business ,Body mass index ,MESH: Female ,Kidney disease - Abstract
Objectives The aim of this study was to develop a risk score integrating cytochrome P450 2C19 loss-of-function genotypes with clinical risk factors influencing clopidogrel response that would allow the identification with more precision of subjects at risk for high platelet reactivity (HPR) and adverse clinical outcomes. Background Clopidogrel is the most broadly used platelet P2Y12 inhibitor. However, a considerable number of patients achieve inadequate platelet inhibition, with persistent HPR, an established marker of increased thrombotic risk, underscoring the need for tools to help identify these subjects. Although carriers of loss-of-function alleles of the cytochrome P450 2C19 enzyme have reduced clopidogrel metabolism leading to increased rates of HPR and thrombotic complications, this explains only a fraction of the pharmacodynamic response to clopidogrel, and a number of clinical factors have also been shown to have contributing roles. Methods Three prospective and independent studies were used to: 1) develop a risk score integrating genetic and clinical factors to identify patients with HPR while on clopidogrel; 2) investigate the external validity of the risk score; and 3) define clinical outcomes associated with the risk score in a cohort of patients with myocardial infarction treated with clopidogrel. Results A risk score ABCD-GENE (Age, Body Mass Index, Chronic Kidney Disease, Diabetes Mellitus, and Genotyping) was developed incorporating 5 independent predictors of HPR: 4 clinical (age >75 years, body mass index >30 kg/m2, chronic kidney disease [glomerular filtration rate Conclusions The ABCD-GENE score is a simple tool to identify patients with HPR on clopidogrel and who are at increased risk for adverse ischemic events, including mortality, following an acute myocardial infarction. In patients with a high ABCD-GENE score, long-term oral P2Y12 inhibitors other than clopidogrel should be considered.
- Published
- 2020