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

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.

[Quantitative assessment of healthy People's cardiovascular aging and analysis of the relevant law: study in three cities in Northern China].

OBJECTIVE: To quantitatively assess the progress of cardiovascular aging in the healthy people in North China by non-invasive ways, and to analyze the law of cardiovascular aging. METHODS: 855 healthy people randomly sampled from 3 cities in northern China: Shenyang, Dalian, and Beijing, divided into 4 age groups: < or = 44, 45 - 59, 60 - 74, and > or = 75, underwent interview of the life style and dietary structure, measurement of blood pressure, heart and carotid ultrasonography, blood biochemistry, blood routine, urine routine, and detection of micro-inflammation indexes such as C-reactive protein, fibrinogen (FIB), thrombomodulin, and interleukin-6. Totally 70 items were surveyed. Then the cardiovascular aging assessment equation was constructed and cardiovascular biological aging score (CBAS) was calculated to analyze the law of cardiovascular aging. RESULTS: Seven items including pulse pressure, carotid artery intimal-medial thickness, carotid artery end-diastolic velocity, mitral valve anulus anterior wall A, mitral valve anulus lateral wall E, FIB, total cholesterol were correlated with chronological age significantly (r = 0.63, 0.54, -0.41, 0.45, -0.42, 0.43, and 0.46, all P < 0.01). The CBAS was positively correlated with chronological age (r = 0.85, P < 0.05) with the most rapid change rate in the group aged 45 - 59. CONCLUSION: CAS can be used as an objective index to quantitatively assess the cardiovascular aging. With an acceleration of cardiovascular aging rate after the age 45, the speed of cardiovascular aging in healthy people may be inconstant. The age 45 - 59 may be the key threshold for cardiovascular aging.