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Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study
Objectives To investigate the performance of classic risk factors, and of some new biomarkers, in predicting cardiovascular mortality in very old people from the general population with no history of cardiovascular disease. Design The Leiden 85-plus Study (1997-2004) is an observational prospective...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BMJ Publishing Group Ltd.
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2615548/ https://www.ncbi.nlm.nih.gov/pubmed/19131384 http://dx.doi.org/10.1136/bmj.a3083 |
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author | de Ruijter, Wouter Westendorp, Rudi G J Assendelft, Willem J J den Elzen, Wendy P J de Craen, Anton J M le Cessie, Saskia Gussekloo, Jacobijn |
author_facet | de Ruijter, Wouter Westendorp, Rudi G J Assendelft, Willem J J den Elzen, Wendy P J de Craen, Anton J M le Cessie, Saskia Gussekloo, Jacobijn |
author_sort | de Ruijter, Wouter |
collection | PubMed |
description | Objectives To investigate the performance of classic risk factors, and of some new biomarkers, in predicting cardiovascular mortality in very old people from the general population with no history of cardiovascular disease. Design The Leiden 85-plus Study (1997-2004) is an observational prospective cohort study with 5 years of follow-up. Setting General population of the city of Leiden, the Netherlands. Participants Population based sample of participants aged 85 years (215 women and 87 men) with no history of cardiovascular disease; no other exclusion criteria. Main measurements Cause specific mortality was registered during follow-up. All classic risk factors included in the Framingham risk score (sex, systolic blood pressure, total and high density lipoprotein cholesterol, diabetes mellitus, smoking and electrocardiogram based left ventricular hypertrophy), as well as plasma concentrations of the new biomarkers homocysteine, folic acid, C reactive protein, and interleukin 6, were assessed at baseline. Results During follow-up, 108 of the 302 participants died; 32% (35/108) of deaths were from cardiovascular causes. Classic risk factors did not predict cardiovascular mortality when used in the Framingham risk score (area under receiver operating characteristic curve 0.53, 95% confidence interval 0.42 to 0.63) or in a newly calibrated model (0.53, 0.43 to 0.64). Of the new biomarkers studied, homocysteine had most predictive power (0.65, 0.55 to 0.75). Entering any additional risk factor or combination of factors into the homocysteine prediction model did not increase its discriminative power. Conclusions In very old people from the general population with no history of cardiovascular disease, concentrations of homocysteine alone can accurately identify those at high risk of cardiovascular mortality, whereas classic risk factors included in the Framingham risk score do not. These preliminary findings warrant validation in a separate cohort. |
format | Text |
id | pubmed-2615548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BMJ Publishing Group Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-26155482009-01-09 Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study de Ruijter, Wouter Westendorp, Rudi G J Assendelft, Willem J J den Elzen, Wendy P J de Craen, Anton J M le Cessie, Saskia Gussekloo, Jacobijn BMJ Research Objectives To investigate the performance of classic risk factors, and of some new biomarkers, in predicting cardiovascular mortality in very old people from the general population with no history of cardiovascular disease. Design The Leiden 85-plus Study (1997-2004) is an observational prospective cohort study with 5 years of follow-up. Setting General population of the city of Leiden, the Netherlands. Participants Population based sample of participants aged 85 years (215 women and 87 men) with no history of cardiovascular disease; no other exclusion criteria. Main measurements Cause specific mortality was registered during follow-up. All classic risk factors included in the Framingham risk score (sex, systolic blood pressure, total and high density lipoprotein cholesterol, diabetes mellitus, smoking and electrocardiogram based left ventricular hypertrophy), as well as plasma concentrations of the new biomarkers homocysteine, folic acid, C reactive protein, and interleukin 6, were assessed at baseline. Results During follow-up, 108 of the 302 participants died; 32% (35/108) of deaths were from cardiovascular causes. Classic risk factors did not predict cardiovascular mortality when used in the Framingham risk score (area under receiver operating characteristic curve 0.53, 95% confidence interval 0.42 to 0.63) or in a newly calibrated model (0.53, 0.43 to 0.64). Of the new biomarkers studied, homocysteine had most predictive power (0.65, 0.55 to 0.75). Entering any additional risk factor or combination of factors into the homocysteine prediction model did not increase its discriminative power. Conclusions In very old people from the general population with no history of cardiovascular disease, concentrations of homocysteine alone can accurately identify those at high risk of cardiovascular mortality, whereas classic risk factors included in the Framingham risk score do not. These preliminary findings warrant validation in a separate cohort. BMJ Publishing Group Ltd. 2009-01-08 /pmc/articles/PMC2615548/ /pubmed/19131384 http://dx.doi.org/10.1136/bmj.a3083 Text en © Ruijter et al 2009 http://creativecommons.org/licenses/by-nc/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research de Ruijter, Wouter Westendorp, Rudi G J Assendelft, Willem J J den Elzen, Wendy P J de Craen, Anton J M le Cessie, Saskia Gussekloo, Jacobijn Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study |
title | Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study |
title_full | Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study |
title_fullStr | Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study |
title_full_unstemmed | Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study |
title_short | Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study |
title_sort | use of framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2615548/ https://www.ncbi.nlm.nih.gov/pubmed/19131384 http://dx.doi.org/10.1136/bmj.a3083 |
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