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WHO cardiovascular disease risk prediction model performance in 10 regions, China
OBJECTIVE: To validate the World Health Organization (WHO) non-laboratory-based cardiovascular disease risk prediction model in regions of China. METHODS: We performed an external validation of the WHO model for East Asia using the data set of China Kadoorie Biobank, an ongoing cohort study with 512...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
World Health Organization
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042093/ https://www.ncbi.nlm.nih.gov/pubmed/37008262 http://dx.doi.org/10.2471/BLT.22.288645 |
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author | Yang, Songchun Ding, Yinqi Yu, Canqing Guo, Yu Pang, Yuanjie Sun, Dianjianyi Pei, Pei Yang, Ling Chen, Yiping Du, Huaidong Schmidt, Dan Stevens, Rebecca Bennett, Derrick Clarke, Robert Chen, Junshi Chen, Zhengming Li, Liming Lv, Jun |
author_facet | Yang, Songchun Ding, Yinqi Yu, Canqing Guo, Yu Pang, Yuanjie Sun, Dianjianyi Pei, Pei Yang, Ling Chen, Yiping Du, Huaidong Schmidt, Dan Stevens, Rebecca Bennett, Derrick Clarke, Robert Chen, Junshi Chen, Zhengming Li, Liming Lv, Jun |
author_sort | Yang, Songchun |
collection | PubMed |
description | OBJECTIVE: To validate the World Health Organization (WHO) non-laboratory-based cardiovascular disease risk prediction model in regions of China. METHODS: We performed an external validation of the WHO model for East Asia using the data set of China Kadoorie Biobank, an ongoing cohort study with 512 725 participants recruited from 10 regions of China from 2004–2008. We also recalculated the recalibration parameters for the WHO model in each region and evaluated the predictive performance of the model before and after recalibration. We assessed discrimination performance by Harrell’s C index. FINDINGS: We included 412 225 participants aged 40–79 years. During a median follow-up of 11 years, 58 035 and 41 262 incident cardiovascular disease cases were recorded in women and men, respectively. Harrell's C of the WHO model was 0.682 in women and 0.700 in men but varied among regions. The WHO model underestimated the 10-year cardiovascular disease risk in most regions. After recalibration in each region, discrimination and calibration were both improved in the overall population. Harrell’s C increased from 0.674 to 0.749 in women and from 0.698 to 0.753 in men. The ratios of predicted to observed cases before and after recalibration were 0.189 and 1.027 in women and 0.543 and 1.089 in men. CONCLUSION: The WHO model for East Asia yielded moderate discrimination for cardiovascular disease in the Chinese population and had limited prediction for cardiovascular disease risk in different regions in China. Recalibration for diverse regions greatly improved discrimination and calibration in the overall population. |
format | Online Article Text |
id | pubmed-10042093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | World Health Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-100420932023-04-01 WHO cardiovascular disease risk prediction model performance in 10 regions, China Yang, Songchun Ding, Yinqi Yu, Canqing Guo, Yu Pang, Yuanjie Sun, Dianjianyi Pei, Pei Yang, Ling Chen, Yiping Du, Huaidong Schmidt, Dan Stevens, Rebecca Bennett, Derrick Clarke, Robert Chen, Junshi Chen, Zhengming Li, Liming Lv, Jun Bull World Health Organ Research OBJECTIVE: To validate the World Health Organization (WHO) non-laboratory-based cardiovascular disease risk prediction model in regions of China. METHODS: We performed an external validation of the WHO model for East Asia using the data set of China Kadoorie Biobank, an ongoing cohort study with 512 725 participants recruited from 10 regions of China from 2004–2008. We also recalculated the recalibration parameters for the WHO model in each region and evaluated the predictive performance of the model before and after recalibration. We assessed discrimination performance by Harrell’s C index. FINDINGS: We included 412 225 participants aged 40–79 years. During a median follow-up of 11 years, 58 035 and 41 262 incident cardiovascular disease cases were recorded in women and men, respectively. Harrell's C of the WHO model was 0.682 in women and 0.700 in men but varied among regions. The WHO model underestimated the 10-year cardiovascular disease risk in most regions. After recalibration in each region, discrimination and calibration were both improved in the overall population. Harrell’s C increased from 0.674 to 0.749 in women and from 0.698 to 0.753 in men. The ratios of predicted to observed cases before and after recalibration were 0.189 and 1.027 in women and 0.543 and 1.089 in men. CONCLUSION: The WHO model for East Asia yielded moderate discrimination for cardiovascular disease in the Chinese population and had limited prediction for cardiovascular disease risk in different regions in China. Recalibration for diverse regions greatly improved discrimination and calibration in the overall population. World Health Organization 2023-04-01 2023-02-01 /pmc/articles/PMC10042093/ /pubmed/37008262 http://dx.doi.org/10.2471/BLT.22.288645 Text en (c) 2023 The authors; licensee World Health Organization. https://creativecommons.org/licenses/by/3.0/igo/This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode (https://creativecommons.org/licenses/by/3.0/igo/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL. |
spellingShingle | Research Yang, Songchun Ding, Yinqi Yu, Canqing Guo, Yu Pang, Yuanjie Sun, Dianjianyi Pei, Pei Yang, Ling Chen, Yiping Du, Huaidong Schmidt, Dan Stevens, Rebecca Bennett, Derrick Clarke, Robert Chen, Junshi Chen, Zhengming Li, Liming Lv, Jun WHO cardiovascular disease risk prediction model performance in 10 regions, China |
title | WHO cardiovascular disease risk prediction model performance in 10 regions, China |
title_full | WHO cardiovascular disease risk prediction model performance in 10 regions, China |
title_fullStr | WHO cardiovascular disease risk prediction model performance in 10 regions, China |
title_full_unstemmed | WHO cardiovascular disease risk prediction model performance in 10 regions, China |
title_short | WHO cardiovascular disease risk prediction model performance in 10 regions, China |
title_sort | who cardiovascular disease risk prediction model performance in 10 regions, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042093/ https://www.ncbi.nlm.nih.gov/pubmed/37008262 http://dx.doi.org/10.2471/BLT.22.288645 |
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