Individualized Angiotensin‐Converting Enzyme (ACE)‐Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model

Abstract

BackgroundPatients with stable coronary artery disease (CAD) constitute a heterogeneous group in which the treatment benefits by angiotensin‐converting enzyme (ACE)‐inhibitor therapy vary between individuals. Our objective was to integrate clinical and pharmacogenetic determinants in an ultimate combined risk prediction model. Methods and ResultsClinical, genetic, and outcomes data were used from 8726 stable CAD patients participating in the EUROPA/PERGENE trial of perindopril versus placebo. Multivariable analysis of phenotype data resulted in a clinical risk score (range, 0–21 points). Three single‐nucleotide polymorphisms (rs275651 and rs5182 in the angiotensin‐II type I‐receptor gene and rs12050217 in the bradykinin type I‐receptor gene) were used to construct a pharmacogenetic risk score (PGXscore; range, 0–6 points). Seven hundred eighty‐five patients (9.0%) experienced the primary endpoint of cardiovascular mortality, nonfatal myocardial infarction or resuscitated cardiac arrest, during 4.2 years of follow‐up. Absolute risk reductions ranged from 1.2% to 7.5% in the 73.5% of patients with PGXscore of 0 to 2. As a consequence, estimated annual numbers needed to treat ranged from as low as 29 (clinical risk score ≥10 and PGXscore of 0) to 521 (clinical risk score ≤6 and PGXscore of 2). Furthermore, our data suggest that long‐term perindopril prescription in patients with a PGXscore of 0 to 2 is cost‐effective. ConclusionsBoth baseline clinical phenotype, as well as genotype determine the efficacy of widely prescribed ACE inhibition in stable CAD. Integration of clinical and pharmacogenetic determinants in a combined risk prediction model demonstrated a very wide range of gradients of absolute treatment benefit.

Keywords

• angiotensin‐converting enzyme inhibitor
• coronary artery disease
• individualized therapy
• pharmacogenetics
• risk model