102 Clinical and genetic predictors of anti-platelet therapy selection in coronary artery disease patients undergoing percutaneous coronary intervention

Wednesday, May 18, 2016
Nicholas Varunok, M.D. Candidate1, Kasey Hamrick, Pharm.D. Candidate2, Melissa Polasek, Pharm.D.2, John Andrew Lee, Pharm.D.2, Mr. Michael Wells, PharmD Candidate3, Alexandra Cervantes, Pharm.D. Candidate2, Vindhya B. Sriramoju, M.D.1, Lucius Howell, M.D.1, George A. Stouffer, M.D.1 and Craig Lee, Pharm.D., Ph.D., FCCP2
1Division of Cardiology, UNC School of Medicine, Chapel Hill, NC
2Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, Chapel Hill, NC
3UNC Eshelman School of Pharmacy

Introduction: Our institution implemented an algorithm incorporating clinical factors and CYP2C19 genotype to guide P2Y12 inhibitor selection (clopidogrel, prasugrel, or ticagrelor) in high-risk patients undergoing percutaneous coronary intervention (PCI).

Objectives: We aimed to evaluate algorithm use following its first year of implementation and identify key predictors of P2Y12 inhibitor selection.

Study Design: This single-center, retrospective cohort study included 597 consecutive patients undergoing PCI from July 2012-June 2013.

Methods: Demographic and clinical characteristics, CYP2C19 genotype, and anti-platelet therapy were abstracted from the medical record. Predictors of anti-platelet therapy (clopidogrel versus either prasugrel or ticagrelor) were identified by logistic regression.

Results: Selection of clopidogrel maintenance therapy (69.8%) was more common than prasugrel (26.6%) or ticagrelor (3.5%). A CYP2C19 genotype was obtained in 433 patients (72.5%); of these, 127 (29.3%) carried 1 or 2 loss-of-function alleles (LOF carrier). Prasugrel or ticagrelor was prescribed in 101/127 (79.5%) LOF carriers. In contrast, clopidogrel was prescribed in 243/306 (79.4%) of those without a LOF allele. In addition to CYP2C19 genotype, several clinical factors were significantly associated with P2Y12 inhibitor selection (see table).

Predictors of prasugrel/ticagrelor selection

Clopidogrel

(n=269)

Prasugrel/Ticagrelor

(n=164)

Adjusted odds ratio

(95% CI)

LOF carrier

26 (9.7%)

101 (61.6%)

21.8 (12.2-41.3)

Acute myocardial infarction

98 (36.4%)

82 (50.0%)

2.10 (1.25-3.55)

Prior clopidogrel use

65 (24.1%)

14 (8.5%)

0.34 (0.15-0.71)

Age ³75

56 (20.8%)

16 (9.7%)

0.27 (0.12-0.57)

Previous stroke

23 (8.6%)

3 (1.8%)

0.14 (0.03-0.54)

End-stage renal disease

15 (5.6%)

3 (1.8%)

0.17 (0.03-0.72)

Conclusions: When available, CYP2C19 genotype is the strongest predictor of P2Y12 inhibitor selection following PCI. However, acute myocardial infarction, prior clopidogrel use, contraindications to prasugrel use and end-stage renal disease are also independently associated with drug selection. Observational studies evaluating the relationship between CYP2C19 genotype and P2Y12 inhibitor use will need to account for clinical factors that influence anti-platelet agent selection.