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Published on: March 17, 2010
GFR estimation using cystatin C is not independent of body composition
Jamie Macdonald1, Samuele Marcora, Mahdi Jibani
1School of Sport, Health and Exercise Sciences, University of Wales-Bangor, Gwynedd, LL57 2PZ, UK. j.h.macdonald@bangor.ac.uk
Insights
Lean mass significantly impacts cystatin C levels, a marker for kidney function. Including lean mass in equations improves glomerular filtration rate (GFR) estimation, challenging the assumption that cystatin C is independent of body composition.
Area of Science:
- Nephrology
- Biochemistry
- Clinical Chemistry
Background:
- Cystatin C (CysC) is an endogenous marker used to estimate glomerular filtration rate (GFR).
- It has been widely assumed that CysC levels are independent of body composition.
- This study investigates the influence of body composition on CysC levels and GFR estimation.
Purpose of the Study:
- To test the assumption that cystatin C (CysC) is unaffected by body composition.
- To evaluate the impact of lean mass (LM) on CysC levels and GFR estimation.
- To develop and compare GFR prediction equations based on CysC alone versus CysC with LM.
Main Methods:
- In 77 chronic kidney disease patients, GFR was measured using inulin clearance.
- CysC levels were quantified using a particle-enhanced turbidimetric immunoassay.
- Dual-energy x-ray absorptiometry measured total lean mass (LM) and fat mass. Multiple regression analysis explored relationships between GFR, body composition, and CysC.
Main Results:
- Both absolute GFR and LM were significant predictors of CysC levels.
- An equation incorporating LM explained more GFR variance than one using CysC alone.
- The LM-inclusive equation demonstrated superior performance, especially in patients with extreme body composition, showing improved accuracy (71.4% vs. 51.4% within 30% of true GFR).
Conclusions:
- Lean mass (LM) is a significant, previously unrecognized factor influencing cystatin C (CysC) levels.
- Incorporating LM into GFR estimation equations improves accuracy.
- CysC is not independent of body composition, and accounting for it enhances GFR estimation accuracy.
Background:
Cystatin C (CysC) is an endogenous marker of glomerular filtration rate (GFR) that is claimed to be unaffected by body composition. In this study, we tested this speculation.
Methods:
In 77 patients with chronic kidney disease (mean age, 65.1 +/- 11.9 [SD] years; mean indexed GFR, 45.7 +/- 28.6 mL/min/1.73 m(2) [0.76 +/- 0.48 mL/s]), we evaluated kidney function (GFR) by means of inulin clearance. CysC level was determined by using a particle-enhanced turbidimetric immunoassay. Total lean (LM) and fat masses were measured by means of dual-energy x-ray absorptiometry. Multiple regression was used to analyze relationships between absolute GFR, LM, fat mass, demographic and anthropometric variables (age, sex, height, and weight), and CysC levels. Then prediction equations were built that included only CysC level or CysC level and LM. Their performance to predict absolute GFR was evaluated in a subset of patients with extreme body composition (LM or fat mass > +/-1 SD of the entire sample).
Results:
Only absolute GFR and LM significantly explained variance in CysC levels, and an equation including LM explained more variance in absolute GFR than an equation including CysC level alone. Consequently, the equation including LM performed better than the equation with only CysC level, especially in patients with extreme body composition, showing reduced bias and improved limits of agreement and accuracy (71.4% versus 51.4% of patients' predicted GFR did not deviate by >30% of GFR).
Conclusion:
LM is a previously unrecognized, but important, factor affecting CysC level, and GFR estimation improves when including LM. CysC level is not independent of body composition, as previously assumed, and hence accounting for body composition improves CysC-based GFR estimation.
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