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Assessment of Kidney Function in Mouse Models of Glomerular Disease
Published on: June 30, 2018
The need for robust validation for MDRD-based glomerular filtration rate estimation in various CKD populations
Kearkiat Praditpornsilpa1, Natavudh Townamchai, Tawatchai Chaiwatanarat
1Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. kearkiat@hotmail.com
Insights
Estimated glomerular filtration rate (eGFR) equations require validation in diverse populations. This study found that existing eGFR equations are inaccurate for Thai patients, necessitating population-specific equation development for reliable kidney function assessment.
Area of Science:
- Nephrology
- Biostatistics
- Clinical Chemistry
Background:
- Estimated glomerular filtration rate (eGFR) equations are crucial for assessing kidney function but have primarily been validated in Caucasian and African-American populations.
- Previous studies indicate that existing eGFR equations may not be accurate for Asian populations, highlighting the need for race/ethnicity-specific validation.
- The Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations are widely used but require prospective validation in diverse groups.
Purpose of the Study:
- To evaluate the accuracy of existing eGFR equations (MDRD, CKD-EPI, Chinese, and Japanese) in a Thai population with chronic kidney disease (CKD).
- To determine the applicability of current eGFR estimation formulas in a non-Caucasian, non-African-American demographic.
- To develop and propose a new eGFR equation tailored for the Thai population based on study findings.
Main Methods:
- A cohort of 350 adult Thai CKD patients was studied.
- Glomerular filtration rate (GFR) was measured using (99m)Tc-DTPA plasma clearance as the reference standard.
- Serum creatinine levels were measured using both IDMS-traceable enzymatic methods (Cr(Enz)) and Jaffe's kinetic assay (Cr(Jaffe)) according to the requirements of each eGFR equation.
Main Results:
- Significant discrepancies were observed between the reference GFR and eGFR values calculated using existing equations, with the Japanese equation showing the largest disagreement (20.9 mL/min/1.73 m²).
- The reexpressed MDRD equation yielded a disagreement of 9.6 mL/min/1.73 m², and the CKD-EPI equation showed 8.0 mL/min/1.73 m².
- A new Thai-specific MDRD equation was derived using a Thai coefficient (1.129), and a novel Thai eGFR formula was developed through stepwise multiple regression analysis.
Conclusions:
- Race and ethnicity significantly influence the accuracy of MDRD-based eGFR calculations, underscoring the limitations of applying non-validated equations.
- It is imperative to validate eGFR equations within specific populations before their clinical or epidemiological application to ensure accurate kidney function assessment.
- The findings support the development and use of population-specific eGFR equations, such as the newly proposed Thai formula, for improved clinical utility in Thailand.
Background:
Currently, estimated glomerular filtration rate (eGFR) equations have been validated only in Caucasians and African-Americans and is not applicable to people of other races/ethnicities as shown in studies conducted in two Asian populations: Chinese and Japanese. Because of this, it is important that eGFR equations are validated in its prospective population before applying it in the clinical setting and in epidemiologic studies. Therefore, we examined all eGFR equations available: reexpressed isotope dilution mass spectroscopy (IDMS)-traceable Modification of Diet in Renal Disease (MDRD) equation, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation, Chinese equation and Japanese equation.
Methods:
A total of 350 adult Thai CKD patients were studied. The (99m)Tc-DTPA plasma clearance was used as a reference for glomerular filtration rate (GFR). The serum creatinine was determined by IDMS reference enzymatic methods (Cr(Enz)) and Jaffe's kinetic assay (Cr(Jaffe)) as indicated in each equation.
Results:
The disagreement between the reference GFR and eGFR (reference GFR minus eGFR) was 9.6 mL/min/1.73 m(2) for the reexpressed IDMS-traceable MDRD equation, 8.0 mL/min/1.73 m(2) for CKD-EPI equation, 1.9 mL/min/1.73 m(2) for eGFR equation from the Chinese study and 20.9 mL/min/1.73 m(2) for the eGFR equation from the Japanese study. The Thai coefficient for the reexpressed MDRD was 1.129. The reexpressed MDRD equation for Thais is as follows: 175 × Cr(Enz) ((-1.154)) × Age ((-0.203)) × 0.742 (if female) × 1.129 (if Thai). When stepwise multiple regression analysis was used, the Thai eGFR formula is: 375.5 × Cr(Enz) ((-0.848)) × Age ((-0.364)) × 0.712 (if female).
Conclusions:
Differences in race/ethnicity can significantly affect the results obtained from MDRD-based eGFR equation. It is highly recommended that each population should validate eGFR equations before applying the equation in epidemiologic studies or clinical use.
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