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独立的代谢综合征变异可预测新发冠状动脉疾病。

Independent metabolic syndrome variants predict new-onset coronary artery disease.

机构信息

Department of Medicine, Division of General Internal Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.

出版信息

Diabetes Care. 2010 Jun;33(6):1376-8. doi: 10.2337/dc09-2211. Epub 2010 Mar 18.

Abstract

OBJECTIVE

Any combination of metabolic abnormalities may constitute the metabolic syndrome (MetS), conferring coronary artery disease (CAD) risk, but the independent effect of different combinations on CAD onset remains unknown. RESEARCH DESIGN AND METHODS" Healthy adult siblings (n = 987) of premature CAD (<60 years) case subjects were followed for 9.8 +/- 3.8 years. Baseline MetS variables (insulin sensitivity index, waist circumference, systolic blood pressure, HDL cholesterol, and triglycerides) were recombined into five principal components (PC1-5), and risk factor-adjusted proportional hazards for CAD onset of median-dichotomized PCs were estimated.

RESULTS

The significant hazard ratios were as follows: for PC1 (all abnormalities except blood pressure) 1.66 (P = 0.036), PC2 (high blood pressure levels, high HDL cholesterol) 1.71 (P = 0.016), and PC4 (low HDL cholesterol, high insulin sensitivity, low triglycerides) 2.0 (P = 0.001). Traditionally defined MetS had a hazard ratio of 1.32 (P = 0.18).

CONCLUSIONS

Independent MetS variants identified by PC analysis may explain metabolic mechanisms that increase CAD risk better than the presence of traditional MetS.

摘要

目的

任何代谢异常的组合都可能构成代谢综合征(MetS),从而增加患冠状动脉疾病(CAD)的风险,但不同组合对 CAD 发病的独立影响尚不清楚。

研究设计和方法

对早发 CAD(<60 岁)病例受试者的健康成年兄弟姐妹(n=987)进行了 9.8+/-3.8 年的随访。将基线代谢综合征变量(胰岛素敏感指数、腰围、收缩压、HDL 胆固醇和甘油三酯)重新组合成五个主要成分(PC1-5),并估计中值二分法 PCs 的 CAD 发病风险因素调整后的比例风险。

结果

以下是显著的危险比:PC1(除血压外的所有异常)为 1.66(P=0.036),PC2(高血压水平、高 HDL 胆固醇)为 1.71(P=0.016),PC4(低 HDL 胆固醇、高胰岛素敏感性、低甘油三酯)为 2.0(P=0.001)。传统定义的代谢综合征的危险比为 1.32(P=0.18)。

结论

通过 PC 分析确定的独立代谢综合征变量可能比传统代谢综合征更能解释增加 CAD 风险的代谢机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4cb/2875458/77632c0cac13/zdc0061082820001.jpg

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