Cargando…
Coronary Risk Assessment by Point-Based vs. Equation-Based Framingham Models: Significant Implications for Clinical Care
BACKGROUND: US cholesterol guidelines use original and simplified versions of the Framingham model to estimate future coronary risk and thereby classify patients into risk groups with different treatment strategies. We sought to compare risk estimates and risk group classification generated by the o...
Autores principales: | , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2947646/ https://www.ncbi.nlm.nih.gov/pubmed/20824362 http://dx.doi.org/10.1007/s11606-010-1454-2 |
_version_ | 1782187387440332800 |
---|---|
author | Gordon, William J. Polansky, Jesse M. John Boscardin, W. Fung, Kathy Z. Steinman, Michael A. |
author_facet | Gordon, William J. Polansky, Jesse M. John Boscardin, W. Fung, Kathy Z. Steinman, Michael A. |
author_sort | Gordon, William J. |
collection | PubMed |
description | BACKGROUND: US cholesterol guidelines use original and simplified versions of the Framingham model to estimate future coronary risk and thereby classify patients into risk groups with different treatment strategies. We sought to compare risk estimates and risk group classification generated by the original, complex Framingham model and the simplified, point-based version. METHODS: We assessed 2,543 subjects age 20–79 from the 2001–2006 National Health and Nutrition Examination Surveys (NHANES) for whom Adult Treatment Panel III (ATP-III) guidelines recommend formal risk stratification. For each subject, we calculated the 10-year risk of major coronary events using the original and point-based Framingham models, and then compared differences in these risk estimates and whether these differences would place subjects into different ATP-III risk groups (<10% risk, 10–20% risk, or >20% risk). Using standard procedures, all analyses were adjusted for survey weights, clustering, and stratification to make our results nationally representative. RESULTS: Among 39 million eligible adults, the original Framingham model categorized 71% of subjects as having “moderate” risk (<10% risk of a major coronary event in the next 10 years), 22% as having “moderately high” (10–20%) risk, and 7% as having “high” (>20%) risk. Estimates of coronary risk by the original and point-based models often differed substantially. The point-based system classified 15% of adults (5.7 million) into different risk groups than the original model, with 10% (3.9 million) misclassified into higher risk groups and 5% (1.8 million) into lower risk groups, for a net impact of classifying 2.1 million adults into higher risk groups. These risk group misclassifications would impact guideline-recommended drug treatment strategies for 25–46% of affected subjects. Patterns of misclassifications varied significantly by gender, age, and underlying CHD risk. CONCLUSIONS: Compared to the original Framingham model, the point-based version misclassifies millions of Americans into risk groups for which guidelines recommend different treatment strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11606-010-1454-2) contains supplementary material, which is available to authorized users. |
format | Text |
id | pubmed-2947646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-29476462010-11-22 Coronary Risk Assessment by Point-Based vs. Equation-Based Framingham Models: Significant Implications for Clinical Care Gordon, William J. Polansky, Jesse M. John Boscardin, W. Fung, Kathy Z. Steinman, Michael A. J Gen Intern Med Original Research BACKGROUND: US cholesterol guidelines use original and simplified versions of the Framingham model to estimate future coronary risk and thereby classify patients into risk groups with different treatment strategies. We sought to compare risk estimates and risk group classification generated by the original, complex Framingham model and the simplified, point-based version. METHODS: We assessed 2,543 subjects age 20–79 from the 2001–2006 National Health and Nutrition Examination Surveys (NHANES) for whom Adult Treatment Panel III (ATP-III) guidelines recommend formal risk stratification. For each subject, we calculated the 10-year risk of major coronary events using the original and point-based Framingham models, and then compared differences in these risk estimates and whether these differences would place subjects into different ATP-III risk groups (<10% risk, 10–20% risk, or >20% risk). Using standard procedures, all analyses were adjusted for survey weights, clustering, and stratification to make our results nationally representative. RESULTS: Among 39 million eligible adults, the original Framingham model categorized 71% of subjects as having “moderate” risk (<10% risk of a major coronary event in the next 10 years), 22% as having “moderately high” (10–20%) risk, and 7% as having “high” (>20%) risk. Estimates of coronary risk by the original and point-based models often differed substantially. The point-based system classified 15% of adults (5.7 million) into different risk groups than the original model, with 10% (3.9 million) misclassified into higher risk groups and 5% (1.8 million) into lower risk groups, for a net impact of classifying 2.1 million adults into higher risk groups. These risk group misclassifications would impact guideline-recommended drug treatment strategies for 25–46% of affected subjects. Patterns of misclassifications varied significantly by gender, age, and underlying CHD risk. CONCLUSIONS: Compared to the original Framingham model, the point-based version misclassifies millions of Americans into risk groups for which guidelines recommend different treatment strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11606-010-1454-2) contains supplementary material, which is available to authorized users. Springer-Verlag 2010-09-08 2010-11 /pmc/articles/PMC2947646/ /pubmed/20824362 http://dx.doi.org/10.1007/s11606-010-1454-2 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This 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 source are credited. |
spellingShingle | Original Research Gordon, William J. Polansky, Jesse M. John Boscardin, W. Fung, Kathy Z. Steinman, Michael A. Coronary Risk Assessment by Point-Based vs. Equation-Based Framingham Models: Significant Implications for Clinical Care |
title | Coronary Risk Assessment by Point-Based vs. Equation-Based Framingham Models: Significant Implications for Clinical Care |
title_full | Coronary Risk Assessment by Point-Based vs. Equation-Based Framingham Models: Significant Implications for Clinical Care |
title_fullStr | Coronary Risk Assessment by Point-Based vs. Equation-Based Framingham Models: Significant Implications for Clinical Care |
title_full_unstemmed | Coronary Risk Assessment by Point-Based vs. Equation-Based Framingham Models: Significant Implications for Clinical Care |
title_short | Coronary Risk Assessment by Point-Based vs. Equation-Based Framingham Models: Significant Implications for Clinical Care |
title_sort | coronary risk assessment by point-based vs. equation-based framingham models: significant implications for clinical care |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2947646/ https://www.ncbi.nlm.nih.gov/pubmed/20824362 http://dx.doi.org/10.1007/s11606-010-1454-2 |
work_keys_str_mv | AT gordonwilliamj coronaryriskassessmentbypointbasedvsequationbasedframinghammodelssignificantimplicationsforclinicalcare AT polanskyjessem coronaryriskassessmentbypointbasedvsequationbasedframinghammodelssignificantimplicationsforclinicalcare AT johnboscardinw coronaryriskassessmentbypointbasedvsequationbasedframinghammodelssignificantimplicationsforclinicalcare AT fungkathyz coronaryriskassessmentbypointbasedvsequationbasedframinghammodelssignificantimplicationsforclinicalcare AT steinmanmichaela coronaryriskassessmentbypointbasedvsequationbasedframinghammodelssignificantimplicationsforclinicalcare |