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A six question screen to facilitate primary cardiovascular disease prevention

BACKGROUND: European guidelines on primary prevention of cardiovascular disease (CVD) recommend the SCORE risk charts for determining CVD risk, which include blood pressure and serum cholesterol as risk parameters. To facilitate cost-effective large-scale screening, we aimed to construct a risk scor...

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Autores principales: van der Hoeven, Niels V., Niessen, Maurice A. J., Stroes, Erik S. G., Burdorf, Lex, Kraaijenhagen, Roderik A., van den Born, Bert-Jan H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4628315/
https://www.ncbi.nlm.nih.gov/pubmed/26518623
http://dx.doi.org/10.1186/s12872-015-0131-0
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author van der Hoeven, Niels V.
Niessen, Maurice A. J.
Stroes, Erik S. G.
Burdorf, Lex
Kraaijenhagen, Roderik A.
van den Born, Bert-Jan H.
author_facet van der Hoeven, Niels V.
Niessen, Maurice A. J.
Stroes, Erik S. G.
Burdorf, Lex
Kraaijenhagen, Roderik A.
van den Born, Bert-Jan H.
author_sort van der Hoeven, Niels V.
collection PubMed
description BACKGROUND: European guidelines on primary prevention of cardiovascular disease (CVD) recommend the SCORE risk charts for determining CVD risk, which include blood pressure and serum cholesterol as risk parameters. To facilitate cost-effective large-scale screening, we aimed to construct a risk score with ‘non-invasive’ parameters as a first screening step to identify persons at increased CVD risk requiring further risk assessment. METHODS: We used data of Dutch employees from 25 organisations participating in a health risk assessment between August 2007 and January 2013. Backward multivariate logistic regression analysis was employed to select non-invasive, independent predictors of high CVD risk, defined as the 10-year risk of fatal CVD of ≥5 % based on the SCORE formula. The total CVD risk score was calculated as the summed coefficients of the retained variables. RESULTS: Data of 6189 male participants was used for the development and validation of the risk score. Age, tobacco use, history of hypertension, alcohol consumption, BMI, and waist circumference were independent predictors of high CVD risk. Ten-fold cross-validation resulted in an area under the curve of 0.95 (SE 0.01, 95 % confidence interval 0.94–0.96). A cut-off score ≥45 on the CVD risk score yielded a sensitivity of 0.93, and a specificity of 0.85. CONCLUSIONS: We developed a simple, non-invasive risk score that accurately identifies persons at increased CVD risk according to the SCORE formula in a population of working men. The risk score enables a stepwise approach in large screening programmes, strongly reducing the number of persons that require full risk estimation including blood pressure and cholesterol measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12872-015-0131-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-46283152015-11-01 A six question screen to facilitate primary cardiovascular disease prevention van der Hoeven, Niels V. Niessen, Maurice A. J. Stroes, Erik S. G. Burdorf, Lex Kraaijenhagen, Roderik A. van den Born, Bert-Jan H. BMC Cardiovasc Disord Research Article BACKGROUND: European guidelines on primary prevention of cardiovascular disease (CVD) recommend the SCORE risk charts for determining CVD risk, which include blood pressure and serum cholesterol as risk parameters. To facilitate cost-effective large-scale screening, we aimed to construct a risk score with ‘non-invasive’ parameters as a first screening step to identify persons at increased CVD risk requiring further risk assessment. METHODS: We used data of Dutch employees from 25 organisations participating in a health risk assessment between August 2007 and January 2013. Backward multivariate logistic regression analysis was employed to select non-invasive, independent predictors of high CVD risk, defined as the 10-year risk of fatal CVD of ≥5 % based on the SCORE formula. The total CVD risk score was calculated as the summed coefficients of the retained variables. RESULTS: Data of 6189 male participants was used for the development and validation of the risk score. Age, tobacco use, history of hypertension, alcohol consumption, BMI, and waist circumference were independent predictors of high CVD risk. Ten-fold cross-validation resulted in an area under the curve of 0.95 (SE 0.01, 95 % confidence interval 0.94–0.96). A cut-off score ≥45 on the CVD risk score yielded a sensitivity of 0.93, and a specificity of 0.85. CONCLUSIONS: We developed a simple, non-invasive risk score that accurately identifies persons at increased CVD risk according to the SCORE formula in a population of working men. The risk score enables a stepwise approach in large screening programmes, strongly reducing the number of persons that require full risk estimation including blood pressure and cholesterol measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12872-015-0131-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-30 /pmc/articles/PMC4628315/ /pubmed/26518623 http://dx.doi.org/10.1186/s12872-015-0131-0 Text en © van der Hoeven et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
van der Hoeven, Niels V.
Niessen, Maurice A. J.
Stroes, Erik S. G.
Burdorf, Lex
Kraaijenhagen, Roderik A.
van den Born, Bert-Jan H.
A six question screen to facilitate primary cardiovascular disease prevention
title A six question screen to facilitate primary cardiovascular disease prevention
title_full A six question screen to facilitate primary cardiovascular disease prevention
title_fullStr A six question screen to facilitate primary cardiovascular disease prevention
title_full_unstemmed A six question screen to facilitate primary cardiovascular disease prevention
title_short A six question screen to facilitate primary cardiovascular disease prevention
title_sort six question screen to facilitate primary cardiovascular disease prevention
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4628315/
https://www.ncbi.nlm.nih.gov/pubmed/26518623
http://dx.doi.org/10.1186/s12872-015-0131-0
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