A coronary heart disease prediction model: the Korean Heart Study.

A coronary heart disease prediction model: the Korean Heart Study.
复制标题

DOI:
10.1136/bmjopen-2014-005025
复制
发表时间:
2014-05-21
期刊:
影响因子:
2.9
通讯作者:
Woodward M
Woodward M
中科院分区:
医学3区
文献类型:
--
作者:
Jee SH;Jang Y;Oh DJ;Oh BH;Lee SH;Park SW;Seung KB;Mok Y;Jung KJ;Kimm H;Yun YD;Baek SJ;Lee DC;Choi SH;Kim MJ;Sung J;Cho B;Kim ES;Yu BY;Lee TY;Kim JS;Lee YJ;Oh JK;Kim SH;Park JK;Koh SB;Park SB;Lee SY;Yoo CI;Kim MC;Kim HK;Park JS;Kim HC;Lee GJ;Woodward M

文献摘要

参考文献

被引文献

相似文献

本研究的目的是在韩国心脏研究(KHS)人群中建立一个冠心病(CHD)风险模型,并将其与Frakorean CHD风险评分进行比较。一项在国家保险系统内进行的前瞻性队列研究。1996年至2001年,韩国全国有18个健康促进中心。268 315名年龄在30 - 74岁之间的韩国人,基线时无CHD。  1997年至2011年期间的非致死性或致死性CHD事件。在11.6年的中位随访期间,队列中发生了2596例CHD事件(1903例非致死性和693例致死性)。通过在基础CHD模型中加入高密度脂蛋白(HDL)-胆固醇、低密度脂蛋白(LDL)-胆固醇和甘油三酯,以受试者工作特征曲线下面积(ROC)和连续净再分类指数(NRI)进行评价,建立最佳CHD模型。男性和女性的最佳CHD模型分别为基础CHD模型的HDL-胆固醇(NRI = 0.284)和甘油三酯(NRI = 0.207)。在韩国队列中使用CHD模型的歧视是高的:ROC下的区域为0.764(95%CI 0.752至0.774)男性和0.815(95%CI 0.795至0.835)女性。Fragrance风险函数预测的CHD事件是观察到的3 - 6倍。使用KHS队列的危险因素和平均CHD发病率的平均值重新校准Fragrance函数,显著改善了KHS队列中Fragrance函数的性能。本研究提供了第一个证据表明,在冠心病发病率较低的韩国人群中,Fracket风险函数高估了冠心病的风险。韩国冠心病风险模型是一个计算良好的交替,可以用来预测一个人的冠心病的风险,并提供了一个有用的指导,以确定在韩国人中的冠心病的高风险群体。
The objectives of this study were to develop a coronary heart disease (CHD) risk model among the Korean Heart Study (KHS) population and compare it with the Framingham CHD risk score. A prospective cohort study within a national insurance system. 18 health promotion centres nationwide between 1996 and 2001 in Korea. 268 315 Koreans between the ages of 30 and 74 years without CHD at baseline. Non-fatal or fatal CHD events between 1997 and 2011. During an 11.6-year median follow-up, 2596 CHD events (1903 non-fatal and 693 fatal) occurred in the cohort. The optimal CHD model was created by adding high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol and triglycerides to the basic CHD model, evaluating using the area under the receiver operating characteristic curve (ROC) and continuous net reclassification index (NRI). The optimal CHD models for men and women included HDL-cholesterol (NRI=0.284) and triglycerides (NRI=0.207) from the basic CHD model, respectively. The discrimination using the CHD model in the Korean cohort was high: the areas under ROC were 0.764 (95% CI 0.752 to 0.774) for men and 0.815 (95% CI 0.795 to 0.835) for women. The Framingham risk function predicted 3–6 times as many CHD events than observed. Recalibration of the Framingham function using the mean values of risk factors and mean CHD incidence rates of the KHS cohort substantially improved the performance of the Framingham functions in the KHS cohort. The present study provides the first evidence that the Framingham risk function overestimates the risk of CHD in the Korean population where CHD incidence is low. The Korean CHD risk model is well-calculated alternations which can be used to predict an individual's risk of CHD and provides a useful guide to identify the groups at high risk for CHD among Koreans.
DOI: 10.1111/j.1365-2141.2009.07778.x
发表时间: 2009-08-01
影响因子: 6.5
作者:
Woodward, Mark;Tunstall-Pedoe, Hugh;Lowe, Gordon D. O.
通讯作者: Lowe, Gordon D. O.
DOI: 10.1161/01.cir.97.18.1837
发表时间: 1998-05-12
期刊: CIRCULATION
影响因子: 37.8
作者:
Wilson, PWF;D'Agostino, RB;Kannel, WB
通讯作者: Kannel, WB
DOI: 10.1002/sim.1802
发表时间: 2004-07-15
影响因子: 2
作者:
Pencina, MJ;D'Agostino, RB
通讯作者: D'Agostino, RB
DOI: 10.1016/s0195-668x(03)00081-2
发表时间: 2003-05-01
影响因子: 39.3
作者:
Hense, HW;Schulte, H;Keil, U
通讯作者: Keil, U
DOI: 10.1136/bmj.39261.471806.55
发表时间: 2007-07-21
影响因子: 105.7
作者:
Hippisley-Cox, Julia;Coupland, Carol;Brindle, Peter
通讯作者: Brindle, Peter