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Economic Evaluation of Cardio inCode(®), a Clinical-Genetic Function for Coronary Heart Disease Risk Assessment

BACKGROUND: A clinical–genetic function (Cardio inCode(®)) was generated using genetic variants associated with coronary heart disease (CHD), but not with classical CHD risk factors, to achieve a more precise estimation of the CHD risk of individuals by incorporating genetics into risk equations [Fr...

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Autores principales: Ramírez de Arellano, A., Coca, A., de la Figuera, M., Rubio-Terrés, C., Rubio-Rodríguez, D., Gracia, A., Boldeanu, A., Puig-Gilberte, J., Salas, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3825137/
https://www.ncbi.nlm.nih.gov/pubmed/24078223
http://dx.doi.org/10.1007/s40258-013-0053-x
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author Ramírez de Arellano, A.
Coca, A.
de la Figuera, M.
Rubio-Terrés, C.
Rubio-Rodríguez, D.
Gracia, A.
Boldeanu, A.
Puig-Gilberte, J.
Salas, E.
author_facet Ramírez de Arellano, A.
Coca, A.
de la Figuera, M.
Rubio-Terrés, C.
Rubio-Rodríguez, D.
Gracia, A.
Boldeanu, A.
Puig-Gilberte, J.
Salas, E.
author_sort Ramírez de Arellano, A.
collection PubMed
description BACKGROUND: A clinical–genetic function (Cardio inCode(®)) was generated using genetic variants associated with coronary heart disease (CHD), but not with classical CHD risk factors, to achieve a more precise estimation of the CHD risk of individuals by incorporating genetics into risk equations [Framingham and REGICOR (Registre Gironí del Cor)]. OBJECTIVE: The objective of this study was to conduct an economic analysis of the CHD risk assessment with Cardio inCode(®), which incorporates the patient’s genetic risk into the functions of REGICOR and Framingham, compared with the standard method (using only the functions). METHODS: A Markov model was developed with seven states of health (low CHD risk, moderate CHD risk, high CHD risk, CHD event, recurrent CHD, chronic CHD, and death). The reclassification of CHD risk derived from genetic information and transition probabilities between states was obtained from a validation study conducted in cohorts of REGICOR (Spain) and Framingham (USA). It was assumed that patients classified as at moderate risk by the standard method were the best candidates to test the risk reclassification with Cardio inCode(®). The utilities and costs (€; year 2011 values) of Markov states were obtained from the literature and Spanish sources. The analysis was performed from the perspective of the Spanish National Health System, for a life expectancy of 82 years in Spain. An annual discount rate of 3.5 % for costs and benefits was applied. RESULTS: For a Cardio inCode(®) price of €400, the cost per QALY gained compared with the standard method [incremental cost-effectiveness ratio (ICER)] would be €12,969 and €21,385 in REGICOR and Framingham cohorts, respectively. The threshold price of Cardio inCode(®) to reach the ICER threshold generally accepted in Spain (€30,000/QALY) would range between €668 and €836. The greatest benefit occurred in the subgroup of patients with moderate–high risk, with a high-risk reclassification of 22.8 % and 12 % of patients and an ICER of €1,652/QALY and €5,884/QALY in the REGICOR and Framingham cohorts, respectively. Sensitivity analyses confirmed the stability of the study results. CONCLUSIONS: Cardio inCode(®) is a cost-effective risk score option in CHD risk assessment compared with the standard method.
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spelling pubmed-38251372013-11-21 Economic Evaluation of Cardio inCode(®), a Clinical-Genetic Function for Coronary Heart Disease Risk Assessment Ramírez de Arellano, A. Coca, A. de la Figuera, M. Rubio-Terrés, C. Rubio-Rodríguez, D. Gracia, A. Boldeanu, A. Puig-Gilberte, J. Salas, E. Appl Health Econ Health Policy Original Research Article BACKGROUND: A clinical–genetic function (Cardio inCode(®)) was generated using genetic variants associated with coronary heart disease (CHD), but not with classical CHD risk factors, to achieve a more precise estimation of the CHD risk of individuals by incorporating genetics into risk equations [Framingham and REGICOR (Registre Gironí del Cor)]. OBJECTIVE: The objective of this study was to conduct an economic analysis of the CHD risk assessment with Cardio inCode(®), which incorporates the patient’s genetic risk into the functions of REGICOR and Framingham, compared with the standard method (using only the functions). METHODS: A Markov model was developed with seven states of health (low CHD risk, moderate CHD risk, high CHD risk, CHD event, recurrent CHD, chronic CHD, and death). The reclassification of CHD risk derived from genetic information and transition probabilities between states was obtained from a validation study conducted in cohorts of REGICOR (Spain) and Framingham (USA). It was assumed that patients classified as at moderate risk by the standard method were the best candidates to test the risk reclassification with Cardio inCode(®). The utilities and costs (€; year 2011 values) of Markov states were obtained from the literature and Spanish sources. The analysis was performed from the perspective of the Spanish National Health System, for a life expectancy of 82 years in Spain. An annual discount rate of 3.5 % for costs and benefits was applied. RESULTS: For a Cardio inCode(®) price of €400, the cost per QALY gained compared with the standard method [incremental cost-effectiveness ratio (ICER)] would be €12,969 and €21,385 in REGICOR and Framingham cohorts, respectively. The threshold price of Cardio inCode(®) to reach the ICER threshold generally accepted in Spain (€30,000/QALY) would range between €668 and €836. The greatest benefit occurred in the subgroup of patients with moderate–high risk, with a high-risk reclassification of 22.8 % and 12 % of patients and an ICER of €1,652/QALY and €5,884/QALY in the REGICOR and Framingham cohorts, respectively. Sensitivity analyses confirmed the stability of the study results. CONCLUSIONS: Cardio inCode(®) is a cost-effective risk score option in CHD risk assessment compared with the standard method. Springer International Publishing 2013-09-28 2013 /pmc/articles/PMC3825137/ /pubmed/24078223 http://dx.doi.org/10.1007/s40258-013-0053-x Text en © The Author(s) 2013 https://creativecommons.org/licenses/by-nc/2.5/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Research Article
Ramírez de Arellano, A.
Coca, A.
de la Figuera, M.
Rubio-Terrés, C.
Rubio-Rodríguez, D.
Gracia, A.
Boldeanu, A.
Puig-Gilberte, J.
Salas, E.
Economic Evaluation of Cardio inCode(®), a Clinical-Genetic Function for Coronary Heart Disease Risk Assessment
title Economic Evaluation of Cardio inCode(®), a Clinical-Genetic Function for Coronary Heart Disease Risk Assessment
title_full Economic Evaluation of Cardio inCode(®), a Clinical-Genetic Function for Coronary Heart Disease Risk Assessment
title_fullStr Economic Evaluation of Cardio inCode(®), a Clinical-Genetic Function for Coronary Heart Disease Risk Assessment
title_full_unstemmed Economic Evaluation of Cardio inCode(®), a Clinical-Genetic Function for Coronary Heart Disease Risk Assessment
title_short Economic Evaluation of Cardio inCode(®), a Clinical-Genetic Function for Coronary Heart Disease Risk Assessment
title_sort economic evaluation of cardio incode(®), a clinical-genetic function for coronary heart disease risk assessment
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3825137/
https://www.ncbi.nlm.nih.gov/pubmed/24078223
http://dx.doi.org/10.1007/s40258-013-0053-x
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