The routine method for measuring glomerular filtration rate (GFR) typically involves using serum creatinine to calculate the estimated GFR (eGFR). The most used formula for this calculation is CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration). This method uses serum creatinine levels, age, sex, and race to calculate the eGFR. The CKD-EPI formula is more accurate than older methods, such as MDRD, especially at higher eGFR values. The calculation allows for earlier and more precise detection of chronic kidney disease, aiding in better management and treatment of the condition. However, the calculation of GFR based on creatinine has certain limitations, which means it is not always the most accurate. Therefore, other possible parameters for assessing GFR need to be explored.
The aim of this study was to evaluate another biomarker for kidney function, beta-2-microglobulin (β2M). In a group of patients, we used two formulas for serum β2M to calculate glomerular filtration. We then compared the GFR results with the calculation results (CKD-EPI) based on creatinine concentration. We examined whether both calculations provided the same assessment regarding the stage of kidney impairment. For the purposes of the research, we collected data on 610 patients who were admitted over a three-month period. Among them, the majority had kidney impairment stage G1, while the least had stage G4. Correlations within the groups varied significantly (0.53, 0.04, 0.39, 0.33, and 0.36). The overall correlation obtained using both formulas was 0.84.
On the other hand, the discrepancy rate of results obtained using both formulas for β2M was quite high. Using the first formula, the overall discrepancy rate was 50,8 %, while with the second formula it was 45 %. The obtained results indicate a discrepancy between β2M and the standard methods for determining GFR using creatinine. Conversely, in practice, we often find that the creatinine-based eGFR calculation tends to be skewed towards a lower range of kidney impairment, and therefore, those results which are classified in an earlier stage with β2M might not be incorrect but could place these patients somewhere in between.
The conclusion of the study is that β2M is a promising marker, but we should focus on investigating the causes of the discrepancy between it and the standard methods. Improving diagnostic accuracy could be achieved by combining β2M with other indicators or methods (e.g. cystatin C, albuminuria, urea, MRI, etc.).
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