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Published on: July 26, 2015
Introduction of the CKD-EPI equation to estimate glomerular filtration rate in a Caucasian population
Jan A J G van den Brand1, Gerben A J van Boekel, Hans L Willems
1Department of Nephrology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands. a.vandenbrand@nier.umcn.nl
Insights
The new CKD-EPI equation estimates higher kidney function in younger individuals and lower in older adults compared to the MDRD4 formula. This impacts chronic kidney disease staging and necessitates revised diagnostic criteria.
Area of Science:
- Nephrology
- Epidemiology
- Clinical Chemistry
Background:
- Chronic kidney disease (CKD) diagnosis relies on kidney damage, albuminuria, or reduced glomerular filtration rate (GFR).
- The CKD-EPI equation is a newer method for estimating GFR, potentially differing from the MDRD4 formula.
- Assessing the impact of CKD-EPI in a specific population is crucial for clinical practice.
Purpose of the Study:
- To evaluate the consequences of implementing the CKD-EPI equation in a West European Caucasian population.
- To compare estimated GFR (eGFR) values derived from CKD-EPI versus MDRD4.
- To analyze how the CKD-EPI equation affects CKD staging across different age groups.
Main Methods:
- Utilized data from 6097 Caucasian participants in the Nijmegen Biomedical Study.
- Measured serum creatinine using the Jaffe method, calibrated against mass spectrometry.
- Calculated eGFR using both CKD-EPI and MDRD4 equations and analyzed demographic and health data.
Main Results:
- The CKD-EPI equation altered the age-related eGFR curve, showing higher values in younger individuals and a steeper decline with age.
- Younger participants were more frequently classified into higher GFR stages.
- Older participants, particularly males, were more often classified into lower GFR stages.
Conclusions:
- CKD-EPI yields higher eGFRs in the young and lower eGFRs in the elderly compared to MDRD4.
- Population-level kidney function estimates may increase, but clinical practice with elderly populations might see lower estimates.
- Revising CKD definitions and considering age-dependent thresholds or urinary albumin excretion is recommended for improved risk stratification.
Background:
Chronic kidney disease (CKD) is defined as the presence of kidney damage, albuminuria or a reduction in glomerular filtration rate (GFR). A GFR <60 mL/min/1.73 m(2) alone is sufficient to diagnose CKD Stages III-V. Recently, the new chronic kidney disease epidemiology collaboration (CKD-EPI) equation was introduced. It has been suggested to result in higher estimated glomerular filtration rates (eGFRs) than the Modification of Diet in Renal Disease (MDRD(4)) formula. Here, we assess consequences of introducing the CKD-EPI equation in a West European Caucasian population.
Methods:
Data were obtained from 6097 Caucasian participants of the Nijmegen Biomedical Study (2823 males and 3274 females). Serum creatinine values were determined using the Jaffe method, calibrated against mass spectrometry and were used to calculate eGFR(MDRD4) and eGFR(CKD-EPI). Demographic data, health status and information on medication use for all participants was obtained with a postal questionnaire.
Results:
The introduction of the CKD-EPI equation changed the curve of eGFR by age, with higher values in the younger age groups and a steeper decline of eGFR with ageing. As a consequence, younger people were more often classified to a higher GFR stage and older people, especially males, to a lower GFR stage.
Conclusions:
In comparison with the MDRD(4) formula, the CKD-EPI equation leads to higher estimates of GFR in young people and lower estimates in the elderly. On a population level, this may lead to higher estimates of kidney function. However, in routine clinical practice where the population is predominantly elderly, the opposite may be true. The introduction of eGFR(CKD-EPI) necessitates reconsidering the definition of CKD. We suggest introducing age-dependent threshold values and/or the use of urinary albumin excretion to improve risk stratification.
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