Literature DB >> 30025560

Validation of the China-PAR Equations for Cardio-cerebrovascular Risk Prediction in the Inner Mongolian Population.

Ni Mei Zeng1, Xiao Wei Zheng1, Hao Peng1, Yang Jiao2, Hong Mei Li1, Ming Zhi Zhang1, Ai Li Wang1, Yong Hong Zhang1.   

Abstract

The objective of this study was to evaluate the usefulness of the China-PAR equations in predicting the 10-year risk of cardiovascular disease (CVD) in the Inner Mongolians population. A population-based, prospective cohort of 2,589 Mongolians were followed up from 2003 to 2012. Participants were categorized into 4 subgroups according to their 10-year CVD risks calculated using the China-PAR equations: < 5%, 5%-9.9%, 10%-19.9%, and ⪖ 20%. The China-PAR equations discriminated well with good C statistics (range, 0.76-0.86). The adjusted hazard ratios for CVD showed an increasing trend among the 4 subgroups (P for trend < 0.01). However, the China-PAR equations underestimated the 10-year CVD risk in Mongolians, and the calibration was unsatisfactory (Hosmer-Lemeshow χ2 = 19.98, P < 0.01 for men, χ2 = 46.58, P < 0.001 for women). The performance of the China-PAR equations warrants further validation in other ethnic groups in China.
Copyright © 2018 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.

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Year:  2018        PMID: 30025560     DOI: 10.3967/bes2018.061

Source DB:  PubMed          Journal:  Biomed Environ Sci        ISSN: 0895-3988            Impact factor:   3.118


  4 in total

1.  Cardiovascular disease risk prediction models in the Chinese population- a systematic review and meta-analysis.

Authors:  Guo Zhiting; Tang Jiaying; Han Haiying; Zhang Yuping; Yu Qunfei; Jin Jingfen
Journal:  BMC Public Health       Date:  2022-08-24       Impact factor: 4.135

2.  Deconstruction of Risk Prediction of Ischemic Cardiovascular and Cerebrovascular Diseases Based on Deep Learning.

Authors:  Yan Xu; Lingwei Meng
Journal:  Contrast Media Mol Imaging       Date:  2022-09-30       Impact factor: 3.009

3.  Chinese ASCVD risk equations rather than pooled cohort equations are better to identify macro- and microcirculation abnormalities.

Authors:  Qiaowei Li; Fan Lin; Zhonghai Gao; Feng Huang; Pengli Zhu
Journal:  BMC Cardiovasc Disord       Date:  2020-03-24       Impact factor: 2.298

4.  Validating World Health Organization cardiovascular disease risk charts and optimizing risk assessment in China.

Authors:  Jianxin Li; Fangchao Liu; Xueli Yang; Jie Cao; Shufeng Chen; Jichun Chen; Keyong Huang; Chong Shen; Xiaoqing Liu; Ling Yu; Yingxin Zhao; Xianping Wu; Liancheng Zhao; Xigui Wu; Ying Li; Dongsheng Hu; Jianfeng Huang; Xiangfeng Lu
Journal:  Lancet Reg Health West Pac       Date:  2021-02-05
  4 in total

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