Validation of Risk Prediction Models for Atherosclerotic Cardiovascular Disease in a Prospective Korean Community-Based Cohort

Validation of Risk Prediction Models for Atherosclerotic Cardiovascular Disease in a Prospective Korean Community-Based Cohort
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DOI:
10.4093/dmj.2019.0061
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发表时间:
2020-06-01
影响因子:
5.9
通讯作者:
Lee, Moon-Kyu
Lee, Moon-Kyu
中科院分区:
医学2区
文献类型:
--
作者:
Bae, Jae Hyun;Moon, Min Kyong;Lee, Moon-Kyu

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背景资料:研究2013年美国心脏病学会/美国心脏协会合并队列方程(PCE)在韩国一个大型、前瞻性、基于社区的队列中的表现,并将其与FRS-CVD和韩国风险预测模型(KRPM)进行比较。在韩国基因组和流行病学研究(KOGES)-安山和Ansung研究中,我们评估了PCE对非西班牙裔白人(PCE-WH)和非裔美国人(PCE-AA)的校准和区分,并将其预测能力与FRS进行了比较。结果:本研究包括7,932人(3,778名男性和4,154名女性)。PCE-WH和PCE-AA中度高估了男性动脉粥样硬化性心血管疾病(ASCVD)的风险(分别为6%和13%),但低估了女性的风险(分别为-49%和-25%)。FRS-CVD高估了男性的ASCVD风险(91%),但为女性提供了良好的风险预测(3%)。KRPM低估了男性(-31%)和女性(-31%)的ASCVD风险。所有的风险预测模型在男性(C-统计量0.730至0.735)和女性(C-统计量0.726至0.732)中均显示出良好的区分度。重新校准的PCE使用的数据从KOGES-Ansan和Ansung的研究大大提高了预测准确性,在MEMBER.CONCLUSION:在KOGES-Ansan和Ansung的研究,PCE高估ASCVD的风险为男性和低估的风险为女性。PCE-WH和FRS-CVD分别为男性和女性ASCVD提供了准确的预测。
Background: To investigate the performance of the 2013 American College of Cardiology/American Heart Association Pooled Cohort Equations (PCE) in a large, prospective, community-based cohort in Korea and to compare it with that of the Framingham Global Cardiovascular Disease Risk Score (FRS-CVD) and the Korean Risk Prediction Model (KRPM).Methods: In the Korean Genome and Epidemiology Study (KOGES)-Ansan and Ansung study, we evaluated calibration and discrimination of the PCE for non-Hispanic whites (PCE-WH) and for African Americans (PCE-AA) and compared their predictive abilities with the FRS-CVD and the KRPM.Results: The present study included 7,932 individuals (3,778 men and 4,154 women). The PCE-WH and PCE-AA moderately overestimated the risk of atherosclerotic cardiovascular disease (ASCVD) for men (6% and 13%, respectively) but underestimated the risk for women (-49% and -25%, respectively). The FRS-CVD overestimated ASCVD risk for men (91%) but provided a good risk prediction for women (3%). The KRPM underestimated ASCVD risk for men (-31%) and women (-31%). All the risk prediction models showed good discrimination in both men (C-statistic 0.730 to 0.735) and women (C-statistic 0.726 to 0.732). Recalibration of the PCE using data from the KOGES-Ansan and Ansung study substantially improved the predictive accuracy in men.Conclusion: In the KOGES-Ansan and Ansung study, the PCE overestimated ASCVD risk for men and underestimated the risk for women. The PCE-WH and the FRS-CVD provided an accurate prediction of ASCVD in men and women, respectively.