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Updated: Feb 5, 2026

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Published on: October 21, 2018
Performance of creatinine-based equations for estimating glomerular filtration rate changes over time
Marieke H C van Rijn1,2, Marie Metzger2, Martin Flamant3,4
1Department of Nephrology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Creatinine-based equations for estimating glomerular filtration rate (GFR) show poor precision for tracking chronic kidney disease (CKD) progression over time. Bias in GFR slope estimation significantly varies with patient age, impacting clinical care and research.
Area of Science:
- Nephrology
- Clinical Chemistry
- Biostatistics
Background:
- Glomerular filtration rate (GFR) is a key marker for monitoring chronic kidney disease (CKD).
- The accuracy of creatinine-based equations for estimating GFR slope over time needs comprehensive evaluation.
- Assessing GFR slope performance across patient demographics and CKD types is crucial.
Purpose of the Study:
- To evaluate the performance of creatinine-based equations (CKD-EPI and MDRD) in estimating GFR slope.
- To determine how patient characteristics and CKD diagnoses affect the accuracy of GFR slope estimation.
- To assess the clinical utility of eGFR slopes for tracking kidney function changes.
Main Methods:
- Utilized the NephroTest cohort study data with 5324 GFR measurements from 1955 adult CKD patients (Stages 1-4).
- Measured GFR using chromium 51-labeled ethylenediamine tetraacetic acid renal clearance.
- Simultaneously estimated GFR using CKD-EPI and MDRD equations and calculated absolute/relative GFR slopes via linear mixed models.
Main Results:
- Mean absolute GFR decline was 1.6 mL/min/1.73 m²/year (mGFR), 1.5 (CKD-EPI), and 1.3 (MDRD).
- Mean relative GFR decline was 5.9%/year (mGFR), 5.3 (CKD-EPI), and 4.8 (MDRD).
- CKD-EPI and MDRD slopes showed poor precision (52-55% within 30% of mGFR) and age-dependent bias, overestimating in younger and underestimating in older patients.
Conclusions:
- Creatinine-based GFR slope estimation exhibits limited bias but poor precision.
- Age-related bias in GFR slope estimation is significant, potentially linked to muscle mass variations.
- Findings highlight the need for caution when using eGFR slopes for clinical decisions and research, especially concerning age.
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