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  • 入职时间:2024-09-11
  • 所在单位:湘雅公共卫生学院
  • 职务:讲师
  • 学历:研究生(博士后)
  • 办公地点:湖南省长沙市岳麓区桐梓坡路172号中南大学湘雅公共卫生学院
  • 性别:
  • 联系方式:yangsongchun@csu.edu.cn
  • 学位:博士学位
  • 毕业院校:北京大学
  • 学科:公共卫生与预防医学
论文成果
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Development of a Model to Predict 10-Year Risk of Ischemic and Hemorrhagic Stroke and Ischemic Heart Disease Using the China Kadoorie Biobank
  • 点击次数:
  • 影响因子:11.8
  • DOI码:10.1212/WNL.0000000000200139
  • 发表刊物:Neurology
  • 关键字:Risk prediction model; Hemorrhagic Stroke; Ischemic Stroke; Ischemic Heart Disease; Chinese
  • 摘要:Background and objectives: Contemporary cardiovascular disease (CVD) risk prediction models are rarely applied in routine clinical practice in China due to substantial regional differences in absolute risks of major CVD types within China. Moreover, the inclusion of blood lipids in most risk prediction models also limits their use in the Chinese population. We developed 10-year CVD risk prediction models excluding blood lipids that may be applicable to diverse regions of China. Methods: We derived sex-specific models separately for ischemic heart disease (IHD), ischemic stroke (IS), and hemorrhagic stroke (HS) in addition to total CVD in the China Kadoorie Biobank. Participants were age 30-79 years without CVD at baseline. Predictors included age, systolic and diastolic blood pressure, use of blood pressure-lowering treatment, current daily smoking, diabetes, and waist circumference. Total CVD risks were combined in terms of conditional probability using the predicted risks of 3 submodels. Risk models were recalibrated in each region by 2 methods (practical and ideal) and risk prediction was estimated before and after recalibration. Results: Model derivation involved 489,596 individuals, including 45,947 IHD, 43,647 IS, and 11,168 HS cases during 11 years of follow-up. In women, the Harrell C was 0.732 (95% CI 0.706-0.758), 0.759 (0.738-0.779), and 0.803 (0.778-0.827) for IHD, IS, and HS, respectively. The Harrell C for total CVD was 0.734 (0.732-0.736), 0.754 (0.752-0.756), and 0.774 (0.772-0.776) for models before recalibration, after practical recalibration, and after ideal recalibration. The calibration performances improved after recalibration, with models after ideal recalibration showing the best model performances. The results for men were comparable to those for women. Discussion: Our CVD risk prediction models yielded good discrimination of IHD and stroke subtypes in addition to total CVD without including blood lipids. Flexible recalibration of our models for different regions could enable more widespread use using resident health records covering the overall Chinese population. Classification of evidence: This study provides Class I evidence that a prediction model incorporating accessible clinical variables predicts 10-year risk of IHD, IS, and HS in the Chinese population age 30-79 years.
  • 合写作者:Yuting Han, Canqing Yu, Yu Guo, Yuanjie Pang, Dianjianyi Sun, Pei Pei, Ling Yang, Yiping Chen, Huaidong Du, Hao Wang, M. Sofia Massa, Derrick Bennett, Robert Clarke, Junshi Chen, Zhengming Chen, Liming Li, China Kadoorie Biobank Collaborative Group
  • 第一作者:Songchun Yang
  • 论文类型:期刊论文
  • 通讯作者:Jun Lv
  • 论文编号:PMID: 35410902
  • 学科门类:医学
  • 一级学科:公共卫生与预防医学
  • 文献类型:J
  • 卷号:98
  • 期号:23
  • 页面范围:e2307-e2317
  • ISSN号:0028-3878
  • 是否译文:
  • 发表时间:2022-04-11
  • 收录刊物:SCI
  • 发布期刊链接:https://www.neurology.org/doi/10.1212/WNL.0000000000200139