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Framingham Risk Score with Cardiovascular Events in Chronic Kidney Disease
The Framingham Risk Score (FRS) was developed to predict coronary heart disease in various populations, and it tended to under-estimate the risk in chronic kidney disease (CKD) patients. Our objectives were to determine whether FRS was associated with cardiovascular events, and to evaluate the role...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3603980/ https://www.ncbi.nlm.nih.gov/pubmed/23527293 http://dx.doi.org/10.1371/journal.pone.0060008 |
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author | Chen, Szu-Chia Su, Ho-Ming Tsai, Yi-Chun Huang, Jiun-Chi Chang, Jer-Ming Hwang, Shang-Jyh Chen, Hung-Chun |
author_facet | Chen, Szu-Chia Su, Ho-Ming Tsai, Yi-Chun Huang, Jiun-Chi Chang, Jer-Ming Hwang, Shang-Jyh Chen, Hung-Chun |
author_sort | Chen, Szu-Chia |
collection | PubMed |
description | The Framingham Risk Score (FRS) was developed to predict coronary heart disease in various populations, and it tended to under-estimate the risk in chronic kidney disease (CKD) patients. Our objectives were to determine whether FRS was associated with cardiovascular events, and to evaluate the role of new risk markers and echocardiographic parameters when they were added to a FRS model. This study enrolled 439 CKD patients. The FRS is used to identify individuals categorically as “low” (<10% of 10-year risk), “intermediate” (10–20% risk) or “high” risk (≧ 20% risk). A significant improvement in model prediction was based on the −2 log likelihood ratio statistic and c-statistic. “High” risk (v.s. “low” risk) predicts cardiovascular events either without (hazard ratios [HR] 2.090, 95% confidence interval [CI] 1.144 to 3.818) or with adjustment for clinical, biochemical and echocardiographic parameters (HR 1.924, 95% CI 1.008 to 3.673). Besides, the addition of albumin, hemoglobin, estimated glomerular filtration rate, proteinuria, left atrial diameter >4.7 cm, left ventricular hypertrophy or left ventricular ejection fraction<50% to the FRS model significantly improves the predictive values for cardiovascular events. In CKD patients, “high” risk categorized by FRS predicts cardiovascular events. Novel biomarkers and echocardiographic parameters provide additional predictive values for cardiovascular events. Future study is needed to assess whether risk assessment enhanced by using these biomarkers and echocardiographic parameters might contribute to more effective prediction and better care for patients. |
format | Online Article Text |
id | pubmed-3603980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36039802013-03-22 Framingham Risk Score with Cardiovascular Events in Chronic Kidney Disease Chen, Szu-Chia Su, Ho-Ming Tsai, Yi-Chun Huang, Jiun-Chi Chang, Jer-Ming Hwang, Shang-Jyh Chen, Hung-Chun PLoS One Research Article The Framingham Risk Score (FRS) was developed to predict coronary heart disease in various populations, and it tended to under-estimate the risk in chronic kidney disease (CKD) patients. Our objectives were to determine whether FRS was associated with cardiovascular events, and to evaluate the role of new risk markers and echocardiographic parameters when they were added to a FRS model. This study enrolled 439 CKD patients. The FRS is used to identify individuals categorically as “low” (<10% of 10-year risk), “intermediate” (10–20% risk) or “high” risk (≧ 20% risk). A significant improvement in model prediction was based on the −2 log likelihood ratio statistic and c-statistic. “High” risk (v.s. “low” risk) predicts cardiovascular events either without (hazard ratios [HR] 2.090, 95% confidence interval [CI] 1.144 to 3.818) or with adjustment for clinical, biochemical and echocardiographic parameters (HR 1.924, 95% CI 1.008 to 3.673). Besides, the addition of albumin, hemoglobin, estimated glomerular filtration rate, proteinuria, left atrial diameter >4.7 cm, left ventricular hypertrophy or left ventricular ejection fraction<50% to the FRS model significantly improves the predictive values for cardiovascular events. In CKD patients, “high” risk categorized by FRS predicts cardiovascular events. Novel biomarkers and echocardiographic parameters provide additional predictive values for cardiovascular events. Future study is needed to assess whether risk assessment enhanced by using these biomarkers and echocardiographic parameters might contribute to more effective prediction and better care for patients. Public Library of Science 2013-03-20 /pmc/articles/PMC3603980/ /pubmed/23527293 http://dx.doi.org/10.1371/journal.pone.0060008 Text en © 2013 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Chen, Szu-Chia Su, Ho-Ming Tsai, Yi-Chun Huang, Jiun-Chi Chang, Jer-Ming Hwang, Shang-Jyh Chen, Hung-Chun Framingham Risk Score with Cardiovascular Events in Chronic Kidney Disease |
title | Framingham Risk Score with Cardiovascular Events in Chronic Kidney Disease |
title_full | Framingham Risk Score with Cardiovascular Events in Chronic Kidney Disease |
title_fullStr | Framingham Risk Score with Cardiovascular Events in Chronic Kidney Disease |
title_full_unstemmed | Framingham Risk Score with Cardiovascular Events in Chronic Kidney Disease |
title_short | Framingham Risk Score with Cardiovascular Events in Chronic Kidney Disease |
title_sort | framingham risk score with cardiovascular events in chronic kidney disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3603980/ https://www.ncbi.nlm.nih.gov/pubmed/23527293 http://dx.doi.org/10.1371/journal.pone.0060008 |
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