Abstract

Objectives The prevalence and the incidence of end-stage renal disease (ESRD) are increasing every day. Data from the International Society of Nephrology (ISN) confirm that in 10 years they will be duplicated, confirming a catastrophic situation. The aim of our study was to identify early the subjects with high risk for developing CKD and to intervene in time to prevent later consequences of these diseases. Methods In the study, which was cross-sectional, 807 subjects of both genders, over 20 years old were included. The subjects were divided into four groups as regards the presence of proteinuria: group 1, proteinuria negative; group 2, proteinuria in range 1–30 mg; group 3, proteinuria in range 31–150 mg, group 4, proteinuria>150 mg. Results Prevalence of proteinuria was: negative in group 1, 1–30 mg in group 2, 31–150 mg in group 3 and more than 150 mg in group 4. Only in groups 3 and 4 was significant difference between proteinuria and systolic blood pressure (SBP) and diastolic blood pressure (DBP) (P=0.01, P<0.01) observed. There was a correlation between proteinuria and glomerular filtration rate (GFR) in four groups: the differences were significant between group 1 and group 4, and between group 2 and group 4. Conclusions Microalbuminuria at our population is 9.3%. It has correlation with SBP, DBP and GFR. Early identification of microalbuminuria will be an indicator for detecting and treating subjects with high risk for CKD in an early stage. Objectives The prevalence and the incidence of end-stage renal disease (ESRD) are increasing every day. Data from the International Society of Nephrology (ISN) confirm that in 10 years they will be duplicated, confirming a catastrophic situation. The aim of our study was to identify early the subjects with high risk for developing CKD and to intervene in time to prevent later consequences of these diseases. Methods In the study, which was cross-sectional, 807 subjects of both genders, over 20 years old were included. The subjects were divided into four groups as regards the presence of proteinuria: group 1, proteinuria negative; group 2, proteinuria in range 1–30 mg; group 3, proteinuria in range 31–150 mg, group 4, proteinuria>150 mg. Results Prevalence of proteinuria was: negative in group 1, 1–30 mg in group 2, 31–150 mg in group 3 and more than 150 mg in group 4. Only in groups 3 and 4 was significant difference between proteinuria and systolic blood pressure (SBP) and diastolic blood pressure (DBP) (P=0.01, P<0.01) observed. There was a correlation between proteinuria and glomerular filtration rate (GFR) in four groups: the differences were significant between group 1 and group 4, and between group 2 and group 4. Conclusions Microalbuminuria at our population is 9.3%. It has correlation with SBP, DBP and GFR. Early identification of microalbuminuria will be an indicator for detecting and treating subjects with high risk for CKD in an early stage.

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