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. 2009 Mar;75(6):652-60.
doi: 10.1038/ki.2008.638. Epub 2008 Dec 31.

Factors other than glomerular filtration rate affect serum cystatin C levels

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Factors other than glomerular filtration rate affect serum cystatin C levels

Lesley A Stevens et al. Kidney Int. 2009 Mar.

Abstract

Cystatin C is an endogenous glomerular filtration marker hence its serum level is affected by the glomerular filtration rate (GFR). To study what other factors might affect it blood level we performed a cross-sectional analysis of 3418 patients which included a pooled dataset of clinical trial participants and a clinical population with chronic kidney disease. The serum cystatin C and creatinine levels were related to clinical and biochemical parameters and errors-in-variables models were used to account for errors in GFR measurements. The GFR was measured as the urinary clearance of 125I-iothalamate and 51Cr-EDTA. Cystatin C was determined at a single laboratory while creatinine was standardized to reference methods and these were 2.1+/-1.1 mg/dL and 1.8+/-0.8 mg/L, respectively. After adjustment for GFR, cystatin C was 4.3% lower for every 20 years of age, 9.2% lower for female gender but only 1.9% lower in blacks. Diabetes was associated with 8.5% higher levels of cystatin C and 3.9% lower levels of creatinine. Higher C-reactive protein and white blood cell count and lower serum albumin were associated with higher levels of cystatin C and lower levels of creatinine. Adjustment for age, gender and race had a greater effect on the association of factors with creatinine than cystatin C. Hence, we found that cystatin C is affected by factors other than GFR which should be considered when the GFR is estimated using serum levels of cystatin C.

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Figures

Figure 1
Figure 1. Comparison of coefficients of variables predicting log cystatin and log creatinine
Solid diagonal line is the line of identity. For continuous predictor variables the coefficients are expressed as the percent differences in cystatin or creatinine associated with a difference of one interquartile range in the predictor variable (i.e., a change from the 25th to 75th percentile) after adjusting for GFR in models that incorporate measurement error in the GFR assay. For dichotomous predictor variables the coefficients indicate the percent differences in cystatin or creatinine associated with the presence vs. the absence of the factor. Variables that fall along the line of identity have a similar relationship to serum creatinine and cystatin C. Points away from the line of identity represent variables with a different magnitude of association with cystatin C and creatinine. Variables near the origin have a weak relationship with the filtration marker. The plot character colors indicate significance of the relationships between the predictor variable to cystatin C, creatinine, neither or both. Grey dots indicate variables that were not significantly associated with either cystatin C or creatinine. For all variables, the coefficients for cystatin C and creatinine were significantly different from one other (P<0.001). HTN, hypertension; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial blood pressure; WBC, white blood cell count; Na, sodium; K, potassium; Pi, phosphate; Ca, calcium; HCO3, bicarbonate; TC, total cholesterol; alb, albumin; gluc, glucose; UUN, urine urea nitrogen; UCR, urine creatinine; UPI, urine phosphate; UPR, urine protein Panel a: After adjustment for GFR and GFR measurement error Variables that were not significantly associated with either variable (indicated by gray dots) include serum bicarbonate, total calcium and phosphate. Sex is indicated on the margins of the figure as a downward arrow, as the coefficients are bigger than the scale. Panel b: After adjustment for GFR and GFR measurement error, age, sex and race Variables that were not significantly associated with either cystatin C or creatinine (indicated by gray dots) include hypertension, height, diastolic blood pressure, sodium, bicarbonate, total calcium, and total cholesterol.

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References

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    1. Stevens LA, Coresh J, Schmid CH, et al. Estimating GFR using serum cystatin C alone and in combination with serum creatinine: a pooled analysis of 3,418 individuals with CKD. Am J Kidney Dis. 2008;51:395–406. - PMC - PubMed
    1. Madero M, Sarnak MJ, Stevens LA. Serum cystain C as a marker of glomerular filtration rate. Curr Opin Neph Hyper. 2006;15:610–616. - PubMed

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