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

BACKGROUND: Patients 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 RESULTS: Clinical, 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. CONCLUSIONS: Both 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.

Perindopril and ß-blocker for the prevention of cardiac events and mortality in stable coronary artery disease patients: A EUropean trial on Reduction Of cardiac events with Perindopril in stable coronary Artery disease (EUROPA) subanalysis.

BACKGROUND: ß-Blockers relieve angina/ischemia in stable coronary artery disease (CAD), and angiotensin-converting enzyme inhibitors prevent CAD outcomes. In EUROPA, the angiotensin-converting enzyme inhibitor perindopril reduced cardiovascular outcomes in low-risk stable CAD patients over 4.2 years. This post hoc analysis examined whether the addition of perindopril to ß-blocker in EUROPA had additional benefits on outcomes compared with standard therapy including ß-blocker. METHODS: EUROPA was a multicenter, double-blind, placebo-controlled, randomized trial in patients with documented stable CAD. Randomized EUROPA patients who received ß-blocker at baseline were identified, and the effect on cardiovascular outcomes of adding perindopril or placebo was analyzed. Endpoints were the same as those in EUROPA. RESULTS: At baseline, 62% (n = 7534 [3789 on perindopril and 3745 on placebo]) received ß-blocker. Treatment with perindopril/ß-blocker reduced the relative risk of the primary end point (cardiovascular death, nonfatal myocardial infarction, and resuscitated cardiac arrest) by 24% compared with placebo/ß-blocker (HR, 0.76; 95% CI, 0.64-0.91; P = .002). Addition of perindopril also reduced fatal or nonfatal myocardial infarction by 28% (HR, 0.72; 95% CI, 0.59-0.88; P = .001) and hospitalization for heart failure by 45% (HR, 0.55; 95% CI, 0.33-0.93; P = .025). Serious adverse drug reactions were rare in both groups, and cardiovascular death and hospitalizations occurred less often with perindopril/ß-blocker. CONCLUSIONS: The addition of perindopril to ß-blocker in stable CAD patients was safe and resulted in reductions in cardiovascular outcomes and mortality compared with standard therapy including ß-blocker.

Prediction of absolute risk reduction of cardiovascular events with perindopril for individual patients with stable coronary artery disease - results from EUROPA.

BACKGROUND: Angiotensin-converting-enzyme inhibition reduces the risk of cardiovascular events at a group level. Presumably, the absolute effect of treatment varies between individuals. We sought to develop multivariable prediction scores to estimate individual treatment effect of perindopril in patients with stable coronary artery disease (sCAD). METHODS: In EUROPA trial participants, we estimated the individual patient 5-year absolute risk reduction (ARR) of major adverse cardiovascular events(MACE) by perindopril. Predictions were based on a new Coxproportional-hazards model with clinical characteristics and an external risk score in combination with the observed relative risk reduction. Second, a genetic profile modifying the relative efficacy of perindopril was added. The individual patient ARR was defined as the difference in MACE risk with and without treatment. The group level impact of selectively treating patients with the largest predicted treatment effect was evaluated using net benefit analysis. RESULTS: The risk score combining clinical and genetic characteristics estimated the 5-year absolute treatment effect to be absent or adverse in 27% of patients. On the other hand, the risk score estimated a small 5-year ARR of ≤2% (NNT5≥50) in 20% of patients, a modest ARR of 2-4% (NNT5 25-50) in 26%, and a large ARR of ≥4% (NNT5≤25) in 28%. The external risk score yielded similar predictions. Selective prediction-based treatment resulted in higher net benefit compared to treat everyone at any treatment threshold. CONCLUSION: A prediction score combining clinical characteristics and genetic information can quantify the ARR of MACE by perindopril for individual patients with sCAD and may be used to guide treatment decisions. TRIAL REGISTRATION NUMBER: ISRCTN37166280.

Development and validation of a cardiovascular risk assessment model in patients with established coronary artery disease.

Appropriate risk stratification of patients with established, stable coronary artery disease could contribute to the prevention of recurrent cardiovascular events. The purpose of the present study was to develop and validate risk prediction models for various cardiovascular end points in the EURopean trial On reduction of cardiac events with Perindopril in stable coronary Artery disease (EUROPA) database, consisting of 12,218 patients with established coronary artery disease, with a median follow-up of 4.1 years. Cox proportional hazards models were used for model development. The end points examined were cardiovascular mortality, noncardiovascular mortality, nonfatal myocardial infarction, coronary artery bypass grafting, percutaneous coronary intervention, resuscitated cardiac arrest, and combinations of these end points. The performance measures included Nagelkerke's R², time-dependent area under the receiver operating characteristic curves, and calibration plots. Backward selection resulted in a prediction model for cardiovascular mortality (464 events) containing age, current smoking, diabetes mellitus, total cholesterol, body mass index, previous myocardial infarction, history of congestive heart failure, peripheral vessel disease, previous revascularization, and previous stroke. The model performance was adequate for this end point, with a Nagelkerke R² of 12%, and an area under the receiver operating characteristic curve of 0.73. However, the performance of models constructed for nonfatal and combined end points was considerably worse, with an area under the receiver operating characteristic curve of about 0.6. In conclusion, in patients with established coronary artery disease, the risk of cardiovascular mortality during longer term follow-up can be adequately predicted using the clinical characteristics available at baseline. However, the prediction of nonfatal outcomes, both separately and combined with fatal outcomes, poses major challenges for clinicians and model developers.