CKD-EPI 2021 Equation (India):
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The CKD-EPI 2021 India equation is a modified version of the CKD-EPI formula specifically validated for the Indian population. It estimates glomerular filtration rate (GFR) from serum creatinine, age, and sex without race adjustment, providing more accurate kidney function assessment for Indian patients.
The calculator uses the CKD-EPI 2021 India equation:
Where:
Explanation: This equation is specifically calibrated for the Indian population and does not include race adjustment factors, making it more appropriate for use in India and South Asian populations.
Details: Accurate GFR estimation is crucial for diagnosing chronic kidney disease in Indian populations, determining disease stage, and guiding appropriate treatment and medication dosing specific to regional demographics.
Tips: Enter serum creatinine in mg/dL, age in years, and select gender. All values must be valid (creatinine > 0, age between 1-120). This calculator is specifically designed for Indian population without race adjustment.
Q1: Why use the India-specific CKD-EPI equation?
A: The India-specific equation is validated for Indian populations and provides more accurate GFR estimates without race adjustment, which is more appropriate for the genetic diversity in India.
Q2: What are normal eGFR values for Indian population?
A: Normal is generally ≥90 mL/min/1.73m², though values may vary slightly based on regional and demographic factors. Below 60 for 3+ months indicates CKD.
Q3: Why is there no race adjustment in this equation?
A: The equation was developed and validated specifically for Indian populations, eliminating the need for race adjustment factors used in other versions.
Q4: Can this equation be used for other South Asian populations?
A: While developed for Indian populations, it may be applicable to other South Asian groups, though local validation is recommended for specific populations.
Q5: How does this compare to the original CKD-EPI equation?
A: This version uses different coefficients (142 vs 141, different exponents) and excludes race factor, making it more suitable for Indian demographic characteristics.