摘要
【目的】γ谷氨酰胺转移酶(GGT)近年来被发现与动脉粥样硬化及冠心病相关,本研究旨在探讨血清GGT水平与十年心脏病危险评分——Framingham危险评分(FRS)之间的相关性,以期能更早期发现心血管疾病的中高危患者。【方法】本研究入组了9 544名40岁及以上的广州社区居民,均来自于一项基于广州社区居民的横断面流行病学研究。GGT根据四分位数分组:Q1<15 U/L(n=2 407例)、Q2 15~19.9 U/L(n=2 302例)、Q3 20~28.9 U/L(n=2 442例)、Q4≥29 U/L(n=2 393例)。GGT与十年心血管疾病中高危风险(FRS≥10%)进行Logistic多重回归分析。【结果】相对于GGT最低四分位数组,随着GGT水平升高,FRS≥10%的比例增高(P<0.01),这种相关关系在校正了混杂因素后仍然存在,最高四分位数组的风险是最低四分位数组的1.72倍(95%置信区间1.28-2.29)。【结论】γ谷氨酰胺转移酶与十年心脏病危险评分FRS存在相关关系,建议常规体检早期重视GGT,有利于早期评估及干预心血管疾病中高危人群。
【Objective】Serum gamma-glutamyltransferase(GGT)has recently been implicated in the pathogenesis of atherosclerosis and coronary heart disease(CHD). We aimed to evaluate the association between the serum GGT level and the 10-year risk score for CHD(Framingham Risk Score,FRS)in a Chinese population.【Methods】We conducted a population-based cross-sectional study in 9,544 Guangzhou residents aged 40 years and older. Participants were divided into four quartiles according to their GGT levels:Quartile 1 <15 U/L(n=2 407),Quartile 2 15~19.9 U/L(n=2 302),Quartile 3 20~28.9 U/L(n=2 442),and Quartile 4 ≥29 U/L(n=2 393). The multivariate logistic regression analysis was used to assess the incidence of intermediate and high risk of developing CHD at 10 years(FRS≥10%)in relation to each quartile increase of serum GGT level.【Results】The incidence of FRS≥10% increased with elevating serum GGT levels(P for trend<0.001). Compared with the lowest quartile of serum GGT level,the adjusted odds ratio in the highest quartile was 1.72(95% confidence interval 1.28 to 2.29).【Conclusion】Serum GGT level is associated with the FRS for CHD,and might be used as an adjuvant marker for identifying patients at increased risk of cardiovascular events and early intervention.
作者
林刁珠
孙侃
黎锋
冯琬婷
张小云
黄楚霖
任萌
严励
LIN Diao-zhu;SUN Kan;LI Feng;FENG Wan-ting;ZHANG Xiao-yun;HUANG Chu-lin;REN Meng;YAN Li(Department of Endocrinology,Sun Yat-sen Memorial Hospital,Sun Yat-sen University,Guangzhou 510120,China)
出处
《中山大学学报(医学版)》
CAS
CSCD
北大核心
2019年第2期264-269,共6页
Journal of Sun Yat-Sen University:Medical Sciences
基金
科技部重点研发计划课题(2016YFC0901204)
公益性行业科研专项(201502007)