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以不同SCORE方程预测心血管风险的评估:以荷兰为例。

Evaluation of cardiovascular risk predicted by different SCORE equations: the Netherlands as an example.

作者信息

van Dis Ineke, Kromhout Daan, Geleijnse Johanna M, Boer Jolanda M A, Verschuren W M Monique

机构信息

National Institute for Public Health and Environment (RIVM), Bilthoven, The Netherlands.

出版信息

Eur J Cardiovasc Prev Rehabil. 2010 Apr;17(2):244-9. doi: 10.1097/HJR.0b013e328337cca2.

Abstract

BACKGROUND

In Europe, for primary prevention of cardiovascular diseases (CVD), the Systematic COronary Risk Evaluation (SCORE) risk charts for high-risk and low-risk regions (SCORE-high and SCORE-low, respectively) are used. For the Dutch 'Clinical Practice Guideline for Cardiovascular Risk Management' an adapted SCORE risk chart (SCORE-NL) was developed in collaboration with the SCORE group. We evaluated these three SCORE equations using Dutch risk factor and mortality data.

DESIGN

Prospective cohort study with 10-year follow-up.

METHODS

Baseline data were collected between 1987 and 1997 in 32 885 persons aged 37.5-62.5 years. Vital status was checked and causes of death were obtained from Statistics Netherlands. On the basis of the level of risk factors, the expected number of CVD deaths was calculated by applying the three SCORE equations and compared with the observed number.

RESULTS

The observed CVD mortality was three-fold higher in men (n=242; 1.6%) than in women (n=83; 0.5%). On the basis of SCORE-NL, 8.5% of the men and 0.8% of the women had a CVD mortality risk of 5% or more. The ratio of the observed-to-expected number of CVD deaths was 0.75 for men and 0.55 for women using SCORE-NL, 0.54 and 0.56 using SCORE-high, and 1.11 and 0.95 using SCORE-low.

CONCLUSION

At the population level, SCORE-low predicts the number of CVD deaths well, whereas both SCORE-NL and SCORE-high overestimate the number of CVD deaths by a factor 1.5-2.

摘要

背景

在欧洲,为进行心血管疾病(CVD)的一级预防,使用了针对高风险和低风险地区的系统性冠状动脉风险评估(SCORE)风险图表(分别为SCORE高风险和SCORE低风险)。对于荷兰的“心血管风险管理临床实践指南”,与SCORE小组合作开发了一个适应性的SCORE风险图表(SCORE-NL)。我们使用荷兰的风险因素和死亡率数据评估了这三个SCORE方程。

设计

一项为期10年随访的前瞻性队列研究。

方法

在1987年至1997年期间收集了32885名年龄在37.5 - 62.5岁之间人群的基线数据。检查生命状态,并从荷兰统计局获取死亡原因。根据风险因素水平,应用这三个SCORE方程计算CVD死亡的预期数量,并与观察到的数量进行比较。

结果

观察到的CVD死亡率男性(n = 242;1.6%)是女性(n = 83;0.5%)的三倍。根据SCORE-NL,8.5%的男性和0.8%的女性CVD死亡风险为5%或更高。使用SCORE-NL时,男性和女性观察到的与预期的CVD死亡数量之比分别为0.75和0.55,使用SCORE高风险时为0.54和0.56,使用SCORE低风险时为1.11和0.95。

结论

在人群水平上,SCORE低风险能很好地预测CVD死亡数量,而SCORE-NL和SCORE高风险都将CVD死亡数量高估了1.5至2倍。

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