Critical analysis of the estimated glomerular filtration rate

Kidney function is primarily assessed through glomerular filtration rate (GFR), with serum creatinine being the most commonly used marker in clinical practice. However, creatinine levels can be influenced by factors such as age, sex, muscle mass, and diet, which may affect the accuracy of estimated GFR (eGFR). The CKD-EPI formula is widely used due to its performance across various stages of kidney function, and the 2021 update removed race correction. While this change is important, contributing to minimizing longstanding healthcare disparities, it may still lead to challenges in interpreting results, particularly in certain populations. Estimated GFR based on the combination of serum creatinine and cystatin C was associated with greater accuracy compared with the use of each biomarker alone, and is beneficial for patients with conditions that affect creatinine levels. It should be noted that cystatin C may also be influenced by factors such as inflammation and thyroid dysfunction. In the future, it is possible that such formulas include multiple biomarkers to further improve accuracy. However, widespread adoption of these approaches will require validation and evaluation of cost-effectiveness. When interpreting eGFR results, it is crucial to account for individual factors such as muscle mass, age, and comorbid conditions. In cases of extreme muscle mass or other complicating factors, measured GFR may be necessary. Ultimately, eGFR is a useful screening tool, but it is an estimation of GFR, then clinical judgement and individualized approaches remain essential for accurate assessment and management of kidney function.

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Publication Details

Journal
Brazilian Journal of Nephrology
Published
2025-09-15
DOI
https://doi.org/10.1590/2175-8239-jbn-2025-0107en
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
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article

Critical analysis of the estimated glomerular filtration rate

Farid Samaan, Roberto Pecoits‐Filho, Viviane Cálice-Silva, Gianna Mastroianni Kirsztajn
Brazilian Journal of Nephrology
Chronic Kidney Disease and Diabetes
article

Critical analysis of the estimated glomerular filtration rate

Farid Samaan, Roberto Pecoits‐Filho, Viviane Cálice-Silva, Gianna Mastroianni Kirsztajn
article en

Abstract

Kidney function is primarily assessed through glomerular filtration rate (GFR), with serum creatinine being the most commonly used marker in clinical practice. However, creatinine levels can be influenced by factors such as age, sex, muscle mass, and diet, which may affect the accuracy of estimated GFR (eGFR). The CKD-EPI formula is widely used due to its performance across various stages of kidney function, and the 2021 update removed race correction. While this change is important, contributing to minimizing longstanding healthcare disparities, it may still lead to challenges in interpreting results, particularly in certain populations. Estimated GFR based on the combination of serum creatinine and cystatin C was associated with greater accuracy compared with the use of each biomarker alone, and is beneficial for patients with conditions that affect creatinine levels. It should be noted that cystatin C may also be influenced by factors such as inflammation and thyroid dysfunction. In the future, it is possible that such formulas include multiple biomarkers to further improve accuracy. However, widespread adoption of these approaches will require validation and evaluation of cost-effectiveness. When interpreting eGFR results, it is crucial to account for individual factors such as muscle mass, age, and comorbid conditions. In cases of extreme muscle mass or other complicating factors, measured GFR may be necessary. Ultimately, eGFR is a useful screening tool, but it is an estimation of GFR, then clinical judgement and individualized approaches remain essential for accurate assessment and management of kidney function.

Brazilian Journal of NephrologyVol. 47(4)
Pontifícia Universidade Católica do Paraná (BR), Universidade da Região de Joinville (BR), Instituto Dante Pazzanese de Cardiologia (BR), Universidade Federal de São Paulo (BR)
Openalex Percentile: Top 74%
Chronic Kidney Disease and Diabetes
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