eGFR Creatinine Cystatin C Equation:
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The eGFR Creatinine Cystatin C equation estimates glomerular filtration rate (GFR) using both serum creatinine and serum cystatin C biomarkers, along with age and sex. This combined approach provides improved accuracy in assessing kidney function compared to equations using either biomarker alone.
The calculator uses the eGFR Creatinine Cystatin C equation:
Where:
Explanation: This equation combines the strengths of both creatinine and cystatin C biomarkers, accounting for their different relationships with GFR and providing more accurate estimates across diverse populations.
Details: Accurate GFR estimation using both creatinine and cystatin C is particularly valuable for patients where creatinine-based estimates may be unreliable, such as those with muscle wasting, obesity, or unusual dietary patterns.
Tips: Enter serum creatinine in mg/dL, serum cystatin C in mg/L, age in years, and select gender. All values must be valid (creatinine > 0, cystatin C > 0, age between 1-120).
Q1: Why use both creatinine and cystatin C?
A: Combining both biomarkers reduces bias and improves accuracy, as cystatin C is less affected by muscle mass and diet compared to creatinine.
Q2: What are the advantages over creatinine-only equations?
A: Better accuracy, especially in elderly patients, those with reduced muscle mass, and populations where creatinine production varies significantly.
Q3: When should cystatin C be measured?
A: Consider cystatin C testing when creatinine-based estimates are questionable, in elderly patients, or when precise GFR estimation is clinically important.
Q4: Are there limitations to this equation?
A: May be less accurate in extremes of age, pregnant women, and those with rapidly changing kidney function or certain medical conditions affecting cystatin C metabolism.
Q5: How does this compare to measured GFR?
A: The combined equation provides estimates closer to measured GFR than either biomarker alone, but direct measurement remains the gold standard for critical decisions.