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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 c...

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Autores principales: Oemrawsingh, Rohit M., Akkerhuis, K. Martijn, Van Vark, Laura C., Redekop, W. Ken, Rudez, Goran, Remme, Willem J., Bertrand, Michel E., Fox, Kim M., Ferrari, Roberto, Danser, A.H. Jan, de Maat, Moniek, Simoons, Maarten L., Brugts, Jasper J., Boersma, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943245/
https://www.ncbi.nlm.nih.gov/pubmed/27021566
http://dx.doi.org/10.1161/JAHA.115.002688
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author Oemrawsingh, Rohit M.
Akkerhuis, K. Martijn
Van Vark, Laura C.
Redekop, W. Ken
Rudez, Goran
Remme, Willem J.
Bertrand, Michel E.
Fox, Kim M.
Ferrari, Roberto
Danser, A.H. Jan
de Maat, Moniek
Simoons, Maarten L.
Brugts, Jasper J.
Boersma, Eric
author_facet Oemrawsingh, Rohit M.
Akkerhuis, K. Martijn
Van Vark, Laura C.
Redekop, W. Ken
Rudez, Goran
Remme, Willem J.
Bertrand, Michel E.
Fox, Kim M.
Ferrari, Roberto
Danser, A.H. Jan
de Maat, Moniek
Simoons, Maarten L.
Brugts, Jasper J.
Boersma, Eric
author_sort Oemrawsingh, Rohit M.
collection PubMed
description 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.
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spelling pubmed-49432452016-07-20 Individualized Angiotensin‐Converting Enzyme (ACE)‐Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model Oemrawsingh, Rohit M. Akkerhuis, K. Martijn Van Vark, Laura C. Redekop, W. Ken Rudez, Goran Remme, Willem J. Bertrand, Michel E. Fox, Kim M. Ferrari, Roberto Danser, A.H. Jan de Maat, Moniek Simoons, Maarten L. Brugts, Jasper J. Boersma, Eric J Am Heart Assoc Original Research 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. John Wiley and Sons Inc. 2016-03-28 /pmc/articles/PMC4943245/ /pubmed/27021566 http://dx.doi.org/10.1161/JAHA.115.002688 Text en © 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research
Oemrawsingh, Rohit M.
Akkerhuis, K. Martijn
Van Vark, Laura C.
Redekop, W. Ken
Rudez, Goran
Remme, Willem J.
Bertrand, Michel E.
Fox, Kim M.
Ferrari, Roberto
Danser, A.H. Jan
de Maat, Moniek
Simoons, Maarten L.
Brugts, Jasper J.
Boersma, Eric
Individualized Angiotensin‐Converting Enzyme (ACE)‐Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model
title Individualized Angiotensin‐Converting Enzyme (ACE)‐Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model
title_full Individualized Angiotensin‐Converting Enzyme (ACE)‐Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model
title_fullStr Individualized Angiotensin‐Converting Enzyme (ACE)‐Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model
title_full_unstemmed Individualized Angiotensin‐Converting Enzyme (ACE)‐Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model
title_short Individualized Angiotensin‐Converting Enzyme (ACE)‐Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model
title_sort individualized angiotensin‐converting enzyme (ace)‐inhibitor therapy in stable coronary artery disease based on clinical and pharmacogenetic determinants: the perindopril genetic (pergene) risk model
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943245/
https://www.ncbi.nlm.nih.gov/pubmed/27021566
http://dx.doi.org/10.1161/JAHA.115.002688
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