Karakas Mahir, Koenig Wolfgang
Department of Internal Medicine II - Cardiology, University of Ulm Medical Center, Ulm, Germany.
Herz. 2009 Dec;34(8):607-13. doi: 10.1007/s00059-009-3305-7.
In primary prevention, traditional risk factors are a useful first step in determining who is at cardiovascular risk, however, it has been noted that a considerable number of those at risk cannot be identified on the basis of traditional risk factors alone. Among blood biomarkers, C-reactive protein (CRP), measured by high-sensitivity assays (hsCRP), has received widespread interest and a large database has been accumulated on its potential role as a predictor of cardiovascular risk, although observed associations between circulating CRP and coronary heart disease (CHD) are unlikely to be causal, as recently indicated by various Mendelian randomization studies. In a meta-analysis of 22 prospective studies, the multivariable adjusted, combined odds ratio for CRP to predict CHD, comparing extreme tertiles, was 1.58 (95% confidence interval, 1.48-1.68). Several recent studies showed a significant contribution of CRP to coronary risk prediction independent of the Framingham Risk Score, with better discrimination, calibration and improved, albeit modest reclassification of subjects at risk. To test the hypothesis whether or not subjects with normal low-density lipoprotein cholesterol but elevated CRP represent a population at increased risk that might benefit from statin treatment, the JUPITER trial randomized 17,802 apparently healthy persons to either 20 mg rosuvastatin daily or placebo. Rosuvastatin significantly reduced the incidence of major cardiovascular events. The rates of the primary endpoint (composite of nonfatal myocardial infarction, nonfatal stroke, hospitalization for unstable angina, revascularization, and confirmed death from cardiovascular causes) were 0.77 and 1.36 per 100 person-years of follow-up in the rosuvastatin and placebo groups, respectively. Relative risk reduction was 44%. CRP may have more accurately selected high-risk subjects due to its association with very many risk factors, thus representing an integrative marker of the total inflammatory burden of an individual. JUPITER has revitalized the discussion on CRP in clinical practice and will make it more difficult in the future to neglect the evidence built around CRP and cardiovascular risk.
在一级预防中,传统风险因素是确定心血管疾病风险人群的有用的第一步,然而,已经注意到相当数量的风险人群不能仅根据传统风险因素来识别。在血液生物标志物中,通过高敏检测法(hsCRP)测量的C反应蛋白(CRP)受到广泛关注,并且已经积累了大量关于其作为心血管疾病风险预测指标潜在作用的数据库,尽管最近各种孟德尔随机化研究表明,循环CRP与冠心病(CHD)之间观察到的关联不太可能是因果关系。在一项对22项前瞻性研究的荟萃分析中,比较极端三分位数时,CRP预测冠心病的多变量调整合并比值比为1.58(95%置信区间,1.48 - 1.68)。最近的几项研究表明,CRP对冠心病风险预测有显著贡献,独立于弗明汉姆风险评分,具有更好的区分度、校准度,并且尽管对风险受试者的重新分类幅度不大,但有所改善。为了检验正常低密度脂蛋白胆固醇但CRP升高的受试者是否代表可能从他汀类药物治疗中获益的风险增加人群这一假设,JUPITER试验将17802名看似健康的人随机分为每日服用20毫克瑞舒伐他汀或安慰剂两组。瑞舒伐他汀显著降低了主要心血管事件的发生率。在瑞舒伐他汀组和安慰剂组中,主要终点(非致命性心肌梗死、非致命性中风、不稳定型心绞痛住院、血运重建以及心血管原因确诊死亡的综合)发生率分别为每100人年随访0.77和1.36。相对风险降低了44%。由于CRP与众多风险因素相关,它可能更准确地筛选出高危受试者,因此代表了个体总炎症负担的综合标志物。JUPITER试验重新激发了临床实践中对CRP的讨论,并且未来将更难忽视围绕CRP和心血管疾病风险建立的证据。