Department of Public Health, University of Amsterdam, The Netherlands.
Department of Cardiology, University of Amsterdam, The Netherlands.
Eur J Prev Cardiol. 2019 Nov;26(17):1888-1896. doi: 10.1177/2047487319853354. Epub 2019 Jun 1.
European guidelines recommend estimating cardiovascular disease risk using the Systematic COronary Risk Evaluation (SCORE) algorithm. Two versions of SCORE are available: one based on the total cholesterol/high-density lipoprotein cholesterol ratio, and one based on total cholesterol alone. Cardiovascular risk classification between the two algorithms may differ, particularly among ethnic minority groups with a lipid profile different from the ethnic majority groups among whom the SCORE algorithms were validated. Thus in this study we determined whether discrepancies in cardiovascular risk classification between the two SCORE algorithms are more common in ethnic minority groups relative to the Dutch.
Using HELIUS study data (Amsterdam, The Netherlands), we obtained data from 7572 participants without self-reported prior cardiovascular disease of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish and Moroccan ethnic origin. For both SCORE algorithms, cardiovascular risk was estimated and used to categorise participants as low (<1%), medium (1-5%), high (5-10%) or very high (≥10%) risk. Odds of differential cardiovascular risk classification were determined by logistic regression analyses.
The percentage of participants classified differently between the algorithms ranged from 8.7% to 12.4% among ethnic minority men versus 11.4% among Dutch men, and from 1.9% to 5.5% among ethnic minority women versus 6.2% among Dutch women. Relative to the Dutch, only Turkish and Moroccan women showed significantly different (lower) odds of differential cardiovascular risk classification.
We found no indication that discrepancies in cardiovascular risk classification between the two SCORE algorithms are consistently more common in ethnic minority groups than among ethnic majority groups.
欧洲指南建议使用系统性冠状动脉风险评估(SCORE)算法来估计心血管疾病风险。SCORE 有两种版本:一种基于总胆固醇/高密度脂蛋白胆固醇比值,另一种基于总胆固醇。两种算法之间的心血管风险分类可能不同,尤其是在血脂谱与 SCORE 算法验证的主要族群不同的少数民族群体中。因此,本研究旨在确定两种 SCORE 算法在心血管风险分类方面的差异是否在少数民族群体中比在荷兰人中更为常见。
利用 HELIUS 研究数据(荷兰阿姆斯特丹),我们从 7572 名无自述既往心血管疾病的荷兰人、南亚苏里南人、非洲苏里南人、加纳人、土耳其人和摩洛哥人获得数据。对于两种 SCORE 算法,我们估计了心血管风险,并将参与者分为低(<1%)、中(1-5%)、高(5-10%)或极高(≥10%)风险。通过逻辑回归分析确定差异心血管风险分类的可能性。
在少数民族男性中,两种算法之间的分类差异百分比范围为 8.7%至 12.4%,而荷兰男性为 11.4%;在少数民族女性中,两种算法之间的分类差异百分比范围为 1.9%至 5.5%,而荷兰女性为 6.2%。与荷兰人相比,只有土耳其和摩洛哥女性的差异心血管风险分类的可能性显著降低。
我们没有发现迹象表明两种 SCORE 算法在心血管风险分类方面的差异在少数民族群体中始终比在主要族群中更为常见。