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A High-throughput Method for Measurement of Glomerular Filtration Rate in Conscious Mice
Published on: May 10, 2013
Comparison of methods to estimate glomerular filtration rate in paediatric oncology patients
Carolina C Llanos-Paez1, Christine Staatz1, Rachael Lawson2
1School of Pharmacy, University of Queensland, Brisbane, Queensland, Australia.
Insights
Estimating glomerular filtration rate (GFR) in children with cancer is crucial. The Flanders metadata and univariate Schwartz equations showed the best performance for estimating GFR in this population.
Area of Science:
- Pediatric Nephrology
- Oncology
- Clinical Chemistry
Background:
- Glomerular filtration rate (GFR) estimation is vital for pediatric oncology patients.
- Limited evaluation exists for GFR equations, especially those not relying on serum creatinine, in this specific demographic.
- Accurate GFR assessment is critical for drug dosing and monitoring renal function in children undergoing cancer treatment.
Purpose of the Study:
- To compare the predictive performance of various equations for estimating GFR in pediatric oncology patients.
- To identify the most accurate and precise GFR estimation methods for this vulnerable population.
- To evaluate equations that do not require serum creatinine levels.
Main Methods:
- Measured GFR (mGFR) was determined using a chromium 51-labeled ethylene diamine tetraacetic acid excretion test.
- Estimated GFR (eGFR) was calculated using 22 different equations from existing literature.
- Comparative analysis of mGFR and eGFR values, assessing bias, precision, and accuracy of each equation.
Main Results:
- 124 mGFR values from 73 children were analyzed, with a range of 7 to 146 mL/min.
- The Flanders metadata equation demonstrated the lowest absolute bias (0.9 mL/min) and highest precision (RMSE 13.1 mL/min).
- The univariate Schwartz equation achieved the highest percentage of eGFR values within 30% of mGFR (81.5%), while the Rhodin fat-free mass equation had the highest percentage within 10% (37.1%).
Conclusions:
- Several equations can estimate renal function in pediatric oncology patients, but none achieved high accuracy.
- The Flanders metadata and univariate Schwartz equations performed best in this study.
- These two equations are suggested for cautious use in clinical decision-making for pediatric oncology patients, acknowledging their inherent limitations.
Aims:
Glomerular filtration rate (GFR) is estimated daily in paediatric oncology patients; however, few equations, particularly ones that do not include serum creatinine, have been evaluated in this population. We aimed to compare the predictive performance of different equations available to estimate GFR in paediatric oncology patients.
Methods:
GFR was measured (mGFR) in paediatric oncology patients based on a chromium 51-labeled ethylene diamine tetraacetic acid excretion test. GFR was estimated (eGFR) in these same patients using equations identified from the literature. mGFR and eGFR values were compared, and the predictive performance of various eGFR equations was assessed in terms of their bias, precision and accuracy.
Results:
In total, 124 mGFR values ranging from 7 to 146 mL/min were available for analysis from 73 children. Twenty-two equations were identified from the literature. The Flanders metadata equation displayed the lowest absolute bias (mean error of 0.9 mL/min) and the greatest precision (root mean square error of 13.1 mL/min). The univariate Schwartz equation predicted the highest percentage (81.5%) of eGFR values within 30% of mGFR values, and the Rhodin fat-free mass equation predicted the highest percentage (37.1%) of eGFR values within 10% of mGFR values.
Conclusions:
A number of equations were identified that could be used to estimate renal function in paediatric oncology patients; however, none was found to be highly accurate. The Flanders metadata equation and univariate Schwartz performed the best in this study, and we would suggest that these two equations may be used cautiously in paediatric oncology patients for clinical decision making, understanding their limitations.
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