| Objective:To explore the effect of the traditional cardiovascular risk factors (Gender, age, BMI, smoking, hypertension, diabetes, hyperlipidemia, hyperuricemia) on the kidney damage index in the chronic renal disease (proteinuria, microalbuminuria, and GFR) among the healthy physical examination population in The Third xiangya hospital.Methods:33308cases older than18years were enrolled who received healthy physical examination in the health management center of central south university third xiangya hospital from June2013to February2014. With the method of cross-sectional survey, we collected the general materials, biological materials, urine sediment, urine microalbumin, kidney ultrasound and GFR calculated according to the MDRD of the study population. Queue analysis, logistic regression analysis of single factor and multiple factors Logstic stepwise regression analysis method were used to analyze the correlation between gender, age, BMI, smoking, hypertension, diabetes, hyperlipidemia, hyperuricemia and proteinuria, microalbuminuria, GFRResults:1、In the33308cases, the detection rates of proteinuria, renal hypofunction, hematuria and abnormal renal ultrasound were6.4%,1.1%,3.7%and0.8%, respectively. In the4750cases who had urine microalbumin test, the prevalences of albuminuria was33.5%;2、The queue analysis showed that:Among33308cases, male59.7%, female40.3%. Comparison between the two groups, detection rates of proteinuria and renal hypofunction were statistical different, men are significantly higher than women; The average age of our study population was44.7±14.5, in which the young, middle-aged and elderly accounted for41.9%,40.8%and17.3%, respectively. Each two comparison between the three groups, proteinuria and renal hypofunction detection rate were statistical different. With the linear trend test of ordered data in both directions, we got that with the increase of age, the degree of proteinuria and renal hypofunction were increased; Smokers accounted for34.8%of the sum, we grouped them according to the number of daily smoking,<10/day,10～20/day,20～40/day,>40/day, each group accounted for11.8%,16.8%,5.8%,0.5%, respectively. Proteinuria detection rate was statistically different between the5groups. All smoking group were significantly higher than the no smoking group.20～40cigarettes/day got the highest and had statistically difference when compared with the <10/day group and the10～20/day group. Kidney function decline rate had no statistical difference between the5groups; the three groups <24,24～27.9,≥28divided by BMI were52.1%,36.9%and11.0%respectively. Detection rate comparison between each two groups of proteinuria and renal hypofunction were statistical different. The linear trend test of ordered data in both directions showed that with the increase of BMI, proteinuria and renal hypofunction degree increase; Detection rate of hypertension is19.9%, in which thel,2and3grand of blood pressure accounted for15.5%,3.7%and0.7%, Proteinuria detection rate and renal hypofunction was statistically different between the3groups. Respectively Detection rate comparison between each two groups of proteinuria were statistical different, Kidney function decline rate had no statistical difference between the2and3groups; Detection rate of diabetes is6.2%, comparison with non-diabetes mellitus, Detection rate of proteinuria and Kidney function decline rate were statistical different; Detection rate of hyperlipidemia is25.7%, comparison with non-hyperlipidemia, Detection rate of proteinuria and Kidney function decline rate were statistical different; Detection rate of hyperuricemia were19.9%, comparison with non-hyperuricemia, Detection rate of proteinuria and Kidney function decline rate were statistical different.3、 The queue analysis among4750cases showed that:Compared between the male group and female group, albuminuria detection rate had statistical differences; among the young, middle-aged and elderly group the albuminuria detection rate comparison between each two groups were statistically significant. The linear trend test of ordered data in both directions showed:with the increase of age, degree of albuminuria increased; Smokers accounted for34.8%, Proteinuria detection rate was statistically difference between the5groups, smoking groups were significantly increased than no smoking group; BMI were grouped to three groups, and the compared between esch two groups, proteinuria rates were statistical differences, The linear trend test of ordered data in both directions showed that with the increase of BMI, proteinuria degree increase; albuminuria detection rate was statistically different between the3groups of hypertension, Respectively Detection rate comparison between2and3groups of albuminuria were had no statistical difference; Respectively compare diabetes and non-diabetes hyperlipidemia and non-hyperlipidemia、hyperuricemia and non-hyperuricemia, albuminuria detection rate had statistical differences.4, Single factor logistic regression analysis showed that:diabetes, male, hypertension, smoking, high TC, hyperuricemia, BMI, low HDL-C, age, high TG, high LDL-C were risk factors for proteinuria; Diabetes, hypertension, gender, high TG, low HDL-C, BMI, high HDL-C, hyperuricemia, high cholesterol, smoking, age were risk factors for albuminuria; Hyperuricemia, age, hypertension, diabetes, high LDL-C, male, low HDL-C, high TG, high TC were risk factors for kidney function decline.5、Multiple factors Logistic stepwise regression analysis showed that:Diabetes, male, hypertension, smoking, hyperuricemia, high TG, age, BMI were independent risk factors for the proteinuria (OR values were2.86,2.606,2.108,1.265,1.235,1.188,1.138,1.102); Diabetes, hypertension, male, BMI, high TG, smoking are independent risk factors for the development of microalbuminuria (OR values were2.359,1.927,1.550,1.253,1.266,1.262); Hyperuricemia, age (every5years), low HDL-C, high LDL-C, hypertension, diabetes were independent risk factor for decline in GFR (OR values were7.455,1.964,1.935,1.706,1.635,1.387).Conclusions:Among traditional cardiovascular risk factors, Diabetes, male, hypertension, smoking, hyperuricemia, high TG, age, BMI were independent risk factors for the proteinuria; Diabetes, hypertension, male, BMI, high TQ smoking are independent risk factors for the development of microalbuminuria; Hyperuricemia, age (every5years), low HDL-C, high LDL-C, hypertension, diabetes were independent risk factor for decline in GFR. in order to detect and management chronic kidney disease earlier, attention should be paid to the risk factors of CKD in population receiveing healthy physical examination... |
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