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[健康人群中心血管危险因素与肾小球滤过率的相关性]

[Correlation of cardiovascular risk factors versus glomerular filtration rate in healthy population].

作者信息

Liu Jing, Bai Xiao-Juan, Han Lu-Lu, Zhang Wei-Guang, Zhou Hong-Yu, Dong Shao-Chen, Sun Ying, Chen Xiang-Mei

机构信息

Department of Gerontologe, First Hospital Affiliated to China Medical University, Shenyang 110001, China.

出版信息

Zhonghua Yi Xue Za Zhi. 2009 Jun 23;89(24):1676-80.

PMID:19957524
Abstract

OBJECTIVE

To evaluate the relationship between cardiovascular risk factors and glomerular filtration rate in healthy population.

METHODS

A community-based cross-sectional study was conducted in Shenyang. The Framingham sex-specific risk equation was employed to evaluate the cardiovascular risk factors of 501 healthy study objects, calculate Framingham risk score and estimate the risk of 10-year coronary heart disease (CHD). A total of 501 study subjects were then divided into 3 groups according to 10-year CHD risk: low risk group (< 10%), moderate risk group (10% -20%) and high risk group ( > 20%). Study subjects were also divided into 5 groups according to age: < or = 44 years old; 45 - 54 years old; 55 - 64 years old; 65 - 74 years old and > or = 75 years old. The Cockcroft-Gault equation (GFR(CG)), abbreviated MDRD equation (GFR(MDRD1)) and modified MDRD equation (GFR(MDRD2)) were used to estimate glomerular filtration rate (GFR). Glomerular filtration rate (GFR) were compared among different risk groups and correlation coefficients between Framingham risk score and glomerular filtration rate calculated.

RESULTS

GFR(CC), GFR(MDRD1) and GFR(MDRD2) in the low risk group was [(103 +/- 27) ml x min(-1) GFR(MDRD2) in moderate risk group all decreased [(84 +/- 24) ml x min(-1) x (1.73 m2) (-1), (101 +/- 27) ml x min(-1) x (1.73 m2) (-1), (124 +/- 33)ml x min(-1) (1.73 m2) (-1), all P < 0.01]. GFR(CG), GFR(MDRD1) and GFR(MR(MDRD2) in the high risk group all decreased [(71 +/- 15) ml x min(-1) (1.73 m2) (-1), (88 +/- 15) ml x min(-1) x (1.73 m2)(-1), (109 +/-18)ml x min(-1) x (1.73 m2) (-1), all P < 0.01]. The GFR(CG), GFR(MDRD1) and GFR(MDRD2) in the high risk group all decreased compared with the moderate risk group (P < 0.05). There was a significantly inverse correlation between Framingham risk score and GFR with the Pearson correlation coefficient -0.586 (GFR(CG), P < 0.01) and -0.449 (GFR(MDRD1) and GFR(MDRD2), P < 0.01).

CONCLUSION

There is an inverse correlation between cardiovascular risk factors and GFR in healthy population. With the increasing of risk factors and their severity, Framingham risk score increases and GFR decreases.

摘要

目的

评估健康人群中心血管危险因素与肾小球滤过率之间的关系。

方法

在沈阳开展了一项基于社区的横断面研究。采用弗雷明汉性别特异性风险方程评估501名健康研究对象的心血管危险因素,计算弗雷明汉风险评分并估计10年冠心病(CHD)风险。然后根据10年CHD风险将501名研究对象分为3组:低风险组(<10%)、中度风险组(10% - 20%)和高风险组(>20%)。研究对象还根据年龄分为5组:≤44岁;45 - 54岁;55 - 64岁;65 - 74岁和≥75岁。使用Cockcroft - Gault方程(GFR(CG))、简化MDRD方程(GFR(MDRD1))和改良MDRD方程(GFR(MDRD2))来估计肾小球滤过率(GFR)。比较不同风险组之间的肾小球滤过率(GFR),并计算弗雷明汉风险评分与肾小球滤过率之间的相关系数。

结果

低风险组的GFR(CC)、GFR(MDRD1)和GFR(MDRD2)分别为[(103±27)ml·min⁻¹·(1.73 m²)⁻¹、(101±27)ml·min⁻¹·(1.73 m²)⁻¹、(124±33)ml·min⁻¹·(1.73 m²)⁻¹],中度风险组的GFR(MDRD2)均降低为[(84±24)ml·min⁻¹·(1.73 m²)⁻¹,所有P<0.01]。高风险组的GFR(CG)、GFR(MDRD1)和GFR(MDRD2)均降低为[(71±15)ml·min⁻¹·(1.73 m²)⁻¹、(88±15)ml·min⁻¹·(1.73 m²)⁻¹、(109±18)ml·min⁻¹·(1.73 m²)⁻¹,所有P<0.01]。高风险组的GFR(CG)、GFR(MDRD1)和GFR(MDRD2)与中度风险组相比均降低(P<0.05)。弗雷明汉风险评分与GFR之间存在显著负相关,Pearson相关系数分别为-0.586(GFR(CG),P<0.01)和-0.449(GFR(MDRD1)和GFR(MDRD2),P<0.01)。

结论

健康人群中心血管危险因素与GFR之间存在负相关。随着危险因素及其严重程度的增加,弗雷明汉风险评分升高而GFR降低。

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