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Using CHADS(2) and CHA(2)DS(2)-VASc scores for mortality prediction in patients with chronic kidney disease
Chronic kidney disease (CKD) is a public health issue and is associated with high morbidity and mortality. How to identify the high-risk CKD patients is very important to improve the long-term outcome. CHADS(2) and CHA2DS2-VASc scores are clinically useful scores to evaluate the risk of stroke in pa...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609539/ https://www.ncbi.nlm.nih.gov/pubmed/33144647 http://dx.doi.org/10.1038/s41598-020-76098-y |
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author | Hsu, Po-Chao Lee, Wen-Hsien Chen, Szu-Chia Tsai, Yi-Chun Chen, Ying-Chih Chu, Chun-Yuan Lin, Tsung-Hsien Voon, Wen-Chol Lai, Wen-Ter Sheu, Sheng-Hsiung Su, Ho-Ming |
author_facet | Hsu, Po-Chao Lee, Wen-Hsien Chen, Szu-Chia Tsai, Yi-Chun Chen, Ying-Chih Chu, Chun-Yuan Lin, Tsung-Hsien Voon, Wen-Chol Lai, Wen-Ter Sheu, Sheng-Hsiung Su, Ho-Ming |
author_sort | Hsu, Po-Chao |
collection | PubMed |
description | Chronic kidney disease (CKD) is a public health issue and is associated with high morbidity and mortality. How to identify the high-risk CKD patients is very important to improve the long-term outcome. CHADS(2) and CHA2DS2-VASc scores are clinically useful scores to evaluate the risk of stroke in patients with atrial fibrillation. However, there was no literature discussing about the usefulness of CHADS(2) and CHA2DS2-VASc scores for cardiovascular (CV) and all-cause mortality prediction in CKD patients. This longitudinal study enrolled 437 patients with CKD. CHADS(2) and CHA2DS2-VASc scores were calculated for each patient. CV and all-cause mortality data were collected for long-term outcome prediction. The median follow-up to mortality was 91 (25th–75th percentile: 59–101) months. There were 66 CV mortality and 165 all-cause mortality. In addition to age and heart rate, CHADS(2) and CHA(2)DS(2)-VASc scores (both P value < 0.001) were significant predictors of CV and all-cause mortality in the multivariate analysis. Besides, in direct comparison of multivariate model, basic model + CHA(2)DS(2)-VASc score had a better additive predictive value for all-cause mortality than basic model + CHADS(2) score (P = 0.031). In conclusion, our study showed both of CHADS(2) and CHA(2)DS(2)-VASc scores were significant predictors for long-term CV and all-cause mortality in CKD patients and CHA(2)DS(2)-VASc score had a better predictive value than CHADS(2) score for all-cause mortality in direct comparison of multivariate model. Therefore, using CHADS(2) and CHA(2)DS(2)-VASc scores to screen CKD patients may be helpful in identifying the high-risk group with increased mortality. |
format | Online Article Text |
id | pubmed-7609539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76095392020-11-05 Using CHADS(2) and CHA(2)DS(2)-VASc scores for mortality prediction in patients with chronic kidney disease Hsu, Po-Chao Lee, Wen-Hsien Chen, Szu-Chia Tsai, Yi-Chun Chen, Ying-Chih Chu, Chun-Yuan Lin, Tsung-Hsien Voon, Wen-Chol Lai, Wen-Ter Sheu, Sheng-Hsiung Su, Ho-Ming Sci Rep Article Chronic kidney disease (CKD) is a public health issue and is associated with high morbidity and mortality. How to identify the high-risk CKD patients is very important to improve the long-term outcome. CHADS(2) and CHA2DS2-VASc scores are clinically useful scores to evaluate the risk of stroke in patients with atrial fibrillation. However, there was no literature discussing about the usefulness of CHADS(2) and CHA2DS2-VASc scores for cardiovascular (CV) and all-cause mortality prediction in CKD patients. This longitudinal study enrolled 437 patients with CKD. CHADS(2) and CHA2DS2-VASc scores were calculated for each patient. CV and all-cause mortality data were collected for long-term outcome prediction. The median follow-up to mortality was 91 (25th–75th percentile: 59–101) months. There were 66 CV mortality and 165 all-cause mortality. In addition to age and heart rate, CHADS(2) and CHA(2)DS(2)-VASc scores (both P value < 0.001) were significant predictors of CV and all-cause mortality in the multivariate analysis. Besides, in direct comparison of multivariate model, basic model + CHA(2)DS(2)-VASc score had a better additive predictive value for all-cause mortality than basic model + CHADS(2) score (P = 0.031). In conclusion, our study showed both of CHADS(2) and CHA(2)DS(2)-VASc scores were significant predictors for long-term CV and all-cause mortality in CKD patients and CHA(2)DS(2)-VASc score had a better predictive value than CHADS(2) score for all-cause mortality in direct comparison of multivariate model. Therefore, using CHADS(2) and CHA(2)DS(2)-VASc scores to screen CKD patients may be helpful in identifying the high-risk group with increased mortality. Nature Publishing Group UK 2020-11-03 /pmc/articles/PMC7609539/ /pubmed/33144647 http://dx.doi.org/10.1038/s41598-020-76098-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hsu, Po-Chao Lee, Wen-Hsien Chen, Szu-Chia Tsai, Yi-Chun Chen, Ying-Chih Chu, Chun-Yuan Lin, Tsung-Hsien Voon, Wen-Chol Lai, Wen-Ter Sheu, Sheng-Hsiung Su, Ho-Ming Using CHADS(2) and CHA(2)DS(2)-VASc scores for mortality prediction in patients with chronic kidney disease |
title | Using CHADS(2) and CHA(2)DS(2)-VASc scores for mortality prediction in patients with chronic kidney disease |
title_full | Using CHADS(2) and CHA(2)DS(2)-VASc scores for mortality prediction in patients with chronic kidney disease |
title_fullStr | Using CHADS(2) and CHA(2)DS(2)-VASc scores for mortality prediction in patients with chronic kidney disease |
title_full_unstemmed | Using CHADS(2) and CHA(2)DS(2)-VASc scores for mortality prediction in patients with chronic kidney disease |
title_short | Using CHADS(2) and CHA(2)DS(2)-VASc scores for mortality prediction in patients with chronic kidney disease |
title_sort | using chads(2) and cha(2)ds(2)-vasc scores for mortality prediction in patients with chronic kidney disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609539/ https://www.ncbi.nlm.nih.gov/pubmed/33144647 http://dx.doi.org/10.1038/s41598-020-76098-y |
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