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Assessment of Kidney Function Discrepancies in Pediatric CAKUT Patients Using Bedside Schwartz Equation and Renal
Ruxandra Maria Steflea1,2,3, Geethiikha Jammula4, Akhila Kanka4
1Department of Pediatrics, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Insights
Bedside Schwartz equation eGFR may be inaccurate for children with congenital kidney abnormalities (CAKUT). Further research is needed to develop precise diagnostic tools for pediatric renal health management.
Area of Science:
- Pediatric Nephrology
- Diagnostic Imaging
- Biomarkers
Background:
- Congenital kidney and urinary tract abnormalities (CAKUT) affect pediatric renal health.
- Accurate assessment of kidney function is crucial for managing CAKUT.
- Existing methods for estimating glomerular filtration rate (eGFR) may have limitations in pediatric populations.
Purpose of the Study:
- To investigate the correlation between bedside Schwartz equation eGFR and renal scintigraphy in pediatric CAKUT patients.
- To analyze kidney size-function relationships in children with CAKUT.
- To identify potential inaccuracies in standard eGFR measurements for this demographic.
Main Methods:
- Retrospective observational study of 94 pediatric CAKUT patients.
- Evaluation of kidney function using the Schwartz equation, renal scintigraphy, and iohexol clearance.
- Statistical analysis including t-tests and Pearson correlation coefficients.
Main Results:
- Significant variances in eGFR were observed across different body surface area (BSA) percentiles.
- The right kidney showed a higher eGFR compared to the left kidney overall (p=0.02).
- A strong positive correlation (r=0.80, p=0.02) was found between scintigraphy and ultrasound measures for left renal percentiles.
Conclusions:
- Standard bedside eGFR measurements may be inaccurate for pediatric CAKUT patients.
- A complex relationship exists between eGFR values and kidney size in this population.
- There is a need for accurate, pediatric-specific diagnostic tools and integrated diagnostic approaches for improved clinical management.
Background And Objectives:
This research explores the correlation between estimated glomerular filtration rates (eGFR) obtained using the bedside Schwartz equation, and renal scintigraphy in children with congenital kidney and urinary tract abnormalities (CAKUT). The objective is to enhance understanding and management of renal health in this demographic by analyzing kidney size-function relationships.
Methods:
A retrospective observational analysis was performed on 94 pediatric CAKUT patients at the "Louis Turcanu" Emergency Hospital for Children, Timisoara. Kidney function data, extracted from medical records, were evaluated using the Schwartz equation, renal scintigraphy, and the gold standard iohexol clearance. Ethical approval was secured for the study, which employed descriptive and inferential statistical methods, including t-tests and correlation coefficients, to compare eGFR values.
Results:
Significant variances were found in eGFRs across different body surface area (BSA) percentiles. For instance, the eGFR for the right kidney in the 25th-50th BSA percentile (102.02 ± 41.52 mL/min/BSA) was notably higher than that of the left (35.60 ± 26.05 mL/min/BSA; p = 0.01). The overall sample reflected a higher eGFR in the right kidney (76.03 ± 40.91 mL/min/BSA) compared to the left (57.46 ± 35.91 mL/min/BSA; p = 0.02). Additionally, a strong positive Pearson correlation (r = 0.80, p = 0.02) was found between scintigraphy and ultrasound measures in the 50th-75th percentiles for left renal percentiles, demonstrating consistent patterns across different evaluations of kidney function.
Conclusions:
This comparison indicates a complex relationship between eGFR values and kidney size, suggesting potential inaccuracies in standard bedside eGFR measurements for pediatric CAKUT patients. The findings underscore the necessity for accurate diagnostic tools specifically designed for pediatric applications and advocate for the integration of multiple diagnostic techniques to improve clinical management.
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