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Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases
BACKGROUND: Risk estimates for the same patient can vary substantially among cardiovascular risk calculators and the reasons are not fully explained. We compared the relative risk increases for consistent risk factors changes across different cardiovascular risk calculators. METHODS: Five clinicians...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561470/ https://www.ncbi.nlm.nih.gov/pubmed/26346935 http://dx.doi.org/10.1186/s13104-015-1401-8 |
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author | Allan, G. Michael Nouri, Faeze Korownyk, Christina Kolber, Michael R. Vandermeer, Ben McCormack, James |
author_facet | Allan, G. Michael Nouri, Faeze Korownyk, Christina Kolber, Michael R. Vandermeer, Ben McCormack, James |
author_sort | Allan, G. Michael |
collection | PubMed |
description | BACKGROUND: Risk estimates for the same patient can vary substantially among cardiovascular risk calculators and the reasons are not fully explained. We compared the relative risk increases for consistent risk factors changes across different cardiovascular risk calculators. METHODS: Five clinicians independently selected 16 calculators providing absolute risk estimations. Hypothetical patients were generated using a combination of seven risk factors [age, gender, smoking, blood pressure, high-density lipoprotein (HDL), total cholesterol and diabetes] dichotomized to high and low risk, generating 2(7) patients (128 total). Relative risk increases due to specific risk factors were determined and compared. RESULTS: The 16 selected calculators were from six countries, used 5- and 10-year predictions, and estimated CVD or coronary heart disease risk. Across the different calculators for non-diabetic patients, changing age from 50 to 70 produced average relative risk increases from 82 to 395 %, gender (female to male) 35–225 %, smoking status 31–118 %, systolic blood pressure (120–160 mmHg) 16–124 %, total cholesterol (4–7 mmol/L) 51–302 % and HDL (1.3–0.8 mmol/L) 27–133 %. Similar results were found among diabetic patients. Some calculators appeared to have consistently higher relative risk increases over multiple risk factors. CONCLUSIONS: Cardiovascular risk calculators weigh the same risk factors differently. For each risk factor, the relative risk increase from the calculator with the highest increase was generally three to eight times greater than the relative risk increase from the calculator with lowest increase. This likely contributes to some of the inconsistency in risk calculator estimation. It also limits the use of risk calculators in estimating the benefits of therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-015-1401-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4561470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45614702015-09-08 Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases Allan, G. Michael Nouri, Faeze Korownyk, Christina Kolber, Michael R. Vandermeer, Ben McCormack, James BMC Res Notes Research Article BACKGROUND: Risk estimates for the same patient can vary substantially among cardiovascular risk calculators and the reasons are not fully explained. We compared the relative risk increases for consistent risk factors changes across different cardiovascular risk calculators. METHODS: Five clinicians independently selected 16 calculators providing absolute risk estimations. Hypothetical patients were generated using a combination of seven risk factors [age, gender, smoking, blood pressure, high-density lipoprotein (HDL), total cholesterol and diabetes] dichotomized to high and low risk, generating 2(7) patients (128 total). Relative risk increases due to specific risk factors were determined and compared. RESULTS: The 16 selected calculators were from six countries, used 5- and 10-year predictions, and estimated CVD or coronary heart disease risk. Across the different calculators for non-diabetic patients, changing age from 50 to 70 produced average relative risk increases from 82 to 395 %, gender (female to male) 35–225 %, smoking status 31–118 %, systolic blood pressure (120–160 mmHg) 16–124 %, total cholesterol (4–7 mmol/L) 51–302 % and HDL (1.3–0.8 mmol/L) 27–133 %. Similar results were found among diabetic patients. Some calculators appeared to have consistently higher relative risk increases over multiple risk factors. CONCLUSIONS: Cardiovascular risk calculators weigh the same risk factors differently. For each risk factor, the relative risk increase from the calculator with the highest increase was generally three to eight times greater than the relative risk increase from the calculator with lowest increase. This likely contributes to some of the inconsistency in risk calculator estimation. It also limits the use of risk calculators in estimating the benefits of therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-015-1401-8) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-07 /pmc/articles/PMC4561470/ /pubmed/26346935 http://dx.doi.org/10.1186/s13104-015-1401-8 Text en © Allan 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 Allan, G. Michael Nouri, Faeze Korownyk, Christina Kolber, Michael R. Vandermeer, Ben McCormack, James Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases |
title | Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases |
title_full | Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases |
title_fullStr | Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases |
title_full_unstemmed | Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases |
title_short | Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases |
title_sort | variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561470/ https://www.ncbi.nlm.nih.gov/pubmed/26346935 http://dx.doi.org/10.1186/s13104-015-1401-8 |
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