Pischon Tobias, Hu Frank B, Rexrode Kathryn M, Girman Cynthia J, Manson Joann E, Rimm Eric B
Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany.
Atherosclerosis. 2008 Mar;197(1):392-9. doi: 10.1016/j.atherosclerosis.2007.06.022. Epub 2007 Aug 2.
This study examined whether inflammation adds to the prediction of coronary heart disease (CHD) beyond metabolic syndrome (MetS), and whether these associations differ between sexes.
Among 30,111 women from the Nurses' Health Study and 16,695 men from the Health Professionals Follow-up Study without prior cardiovascular disease, 249 women and 266 men developed non-fatal myocardial infarction or fatal CHD during 8 and 6 years of follow-up, respectively. Controls were selected 2:1 within each cohort matched on age, smoking, and date of blood draw. Subjects with MetS had a significantly increased relative risk (RR) of CHD compared to individuals without MetS, and this RR was significantly higher in women (3.01; 95%-CI 1.98-4.57) than in men (1.62; 95%-CI 1.13-2.33; p interaction=0.03). Adjustment for most inflammatory markers did not substantially attenuate the risk estimates, although the association was no longer significant in men after adjustment for CRP. Vice versa, associations of inflammatory markers with CHD risk among women were no longer significant after further adjustment for MetS. Among men, CRP and sICAM remained significant predictors of CHD independent of MetS.
MetS is a stronger predictor of CHD in women than in men. Most inflammatory markers did not add appreciable information beyond MetS to predict CHD; only CRP and sICAM remained independently predictive of CHD among men. The basis for these sex-based differences warrants further study.
本研究旨在探讨炎症是否能在代谢综合征(MetS)之外增加对冠心病(CHD)的预测能力,以及这些关联在性别之间是否存在差异。
在护士健康研究中的30111名女性和健康专业人员随访研究中的16695名男性中,这些人之前均无心血管疾病,在8年和6年的随访期间,分别有249名女性和266名男性发生了非致命性心肌梗死或致命性冠心病。在每个队列中,按照年龄、吸烟情况和采血日期以2:1的比例选取对照。与无MetS的个体相比,患有MetS的受试者患冠心病的相对风险(RR)显著增加,且该RR在女性(3.01;95%可信区间1.98 - 4.57)中显著高于男性(1.62;95%可信区间1.13 - 2.33;p交互作用 = 0.03)。对大多数炎症标志物进行调整后,风险估计值并未大幅减弱,尽管在调整CRP后男性中的关联不再显著。反之,在进一步调整MetS后,女性中炎症标志物与冠心病风险的关联不再显著。在男性中,CRP和sICAM仍然是独立于MetS的冠心病显著预测指标。
MetS在女性中比在男性中是更强的冠心病预测指标。大多数炎症标志物在MetS之外并未增加可观的信息来预测冠心病;只有CRP和sICAM在男性中仍然独立预测冠心病。这些基于性别的差异的基础值得进一步研究。