Purpose: We conducted a survey to determine the stages distribution of chronic kidney disease (CKD) using estimated glomerular filtration rate (eGFR) Study Equation and evaluate the risk factors for these patients.
Methods: All participants completed a questionnaire documenting their social demographic status, personal and family medical history and lifestyle behaviors. Blood and urine samples were collected for laboratory testing. The Chi-square test/analysis of variance and multiple/logistic regression were applied for data analysis. There were 530 CKD patients enrolled in this survey.
Results: The Chi-square analysis showed that there was significant difference among different CKD stages in age, gender, BMI (body mass index), medical insurance and education status. Five factors (age, gender, BMI, hypertension, and hyperuricemia) were associated with decreased kidney function (eGFR<60 mL/min/1.73 m(2)). Five factors (age ≥ 65 years, hypertension, proteinuria, hematuria, and hyperuricemia) were associated with abnormal kidney function (eGFR<90 mL/min/1.73 m(2)). Three factors (low education status, hypertension, and proteinuria) were associated with kidney failure (eGFR<15 mL/min/1.73 m(2)).
Conclusions: Older patients, female with higher BMI, proteinuria and hyperuricemia, complicating with hypertension and diabetes tend to be easier for CKD progression. However, patients with higher education have the lower risk of progressing to end-stage renal disease.
Keywords: Chronic kidney disease; outpatients; risk factors; staging.