Clinical impact of preemptive pharmacogenomic testing on antiplatelet therapy in a real-world setting.
Amanda MassmannKurt D ChristensenJoel Van HeukelomApril SchultzMuhammad Hamza Saad ShaukatCatherine HajekMax WeaverRobert C GreenAnn Chen WuMadison R HickingbothamEmilie S ZoltickAdam StysTomasz P StysPublished in: European journal of human genetics : EJHG (2024)
CYP2C19 genotyping to guide antiplatelet therapy after patients develop acute coronary syndromes (ACS) or require percutaneous coronary interventions (PCIs) reduces the likelihood of major adverse cardiovascular events (MACE). Evidence about the impact of preemptive testing, where genotyping occurs while patients are healthy, is lacking. In patients initiating antiplatelet therapy for ACS or PCI, we compared medical records data from 67 patients who received CYP2C19 genotyping preemptively (results >7 days before need), against medical records data from 67 propensity score-matched patients who received early genotyping (results within 7 days of need). We also examined data from 140 patients who received late genotyping (results >7 days after need). We compared the impact of genotyping approaches on medication selections, specialty visits, MACE and bleeding events over 1 year. Patients with CYP2C19 loss-of-function alleles were less likely to be initiated on clopidogrel if they received preemptive rather than early or late genotyping (18.2%, 66.7%, and 73.2% respectively, p = 0.001). No differences were observed by genotyping approach in the number of specialty visits or likelihood of MACE or bleeding events (all p > 0.21). Preemptive genotyping had a strong impact on initial antiplatelet selection and a comparable impact on patient outcomes and healthcare utilization, compared to genotyping ordered after a need for antiplatelet therapy had been identified.
Keyphrases
- antiplatelet therapy
- acute coronary syndrome
- percutaneous coronary intervention
- genome wide
- high throughput
- healthcare
- end stage renal disease
- cardiovascular events
- genetic diversity
- coronary artery disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- atrial fibrillation
- acute myocardial infarction
- prognostic factors
- cardiovascular disease
- st elevation myocardial infarction
- electronic health record
- st segment elevation myocardial infarction
- patient reported outcomes
- gene expression
- left ventricular
- emergency department
- heart failure
- coronary artery bypass grafting
- big data
- aortic stenosis
- data analysis
- patient reported
- health insurance
- aortic valve
- medical students