Purpose: We have investigated the association between markers of renal function [serum urea nitrogen, creatinine, and estimated glomerular filtration rate (eGFR)] and age and lipid profile in an Iranian population sample of 4,567 subjects.
Materials/methods: Serum creatinine and urea nitrogen, together with anthropometric parameters and lipid profile were determined in all the subjects. eGFR was calculated using the modification of diet in renal disease formula.
Objective: The global prevalence of metabolic syndrome (MetS) appears to be increasing and the impact of this condition on potential comorbidities such as cardiovascular disease is high. Chronic kidney disease (CKD) is also a potential comorbidity of MetS but the method of screening for this is somewhat controversial. Thus, predictive markers that can predict the risk of developing CKD are warranted for identification of patients with MetS at an increased risk.
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