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Biological variation and reference change value of the estimated glomerular filtration rate in humans: A systematic review and meta-analysis

BACKGROUND: Knowledge of the biological variation of serum or plasma creatinine (Cr) and the estimated glomerular filtration rate (eGFR) is important for understanding disease dynamics in Chronic Kidney Disease (CKD). The aim of our study was to determine the magnitude of random fluctuation of eGFR...

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Detalles Bibliográficos
Autores principales: Thöni, Stefanie, Keller, Felix, Denicolò, Sara, Buchwinkler, Lukas, Mayer, Gert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583397/
https://www.ncbi.nlm.nih.gov/pubmed/36275823
http://dx.doi.org/10.3389/fmed.2022.1009358
Descripción
Sumario:BACKGROUND: Knowledge of the biological variation of serum or plasma creatinine (Cr) and the estimated glomerular filtration rate (eGFR) is important for understanding disease dynamics in Chronic Kidney Disease (CKD). The aim of our study was to determine the magnitude of random fluctuation of eGFR by determining its reference change value (RCV). METHODS: We performed a systematic review and meta-analysis of studies on biological variation of Cr. Relevant studies were identified by systematic literature search on PubMed. Additional studies were retrieved from the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Biological Variation Database. Random-effects meta-analysis was conducted to derive an overall estimate of intra-individual variation of creatinine (CV(ICr)). Based on our estimate of CV(ICr) and RCV for Cr, the RCV for the eGFR was determined. RESULTS: Among identified studies, 37 met our inclusion criteria. Meta-analysis of all studies yielded a CV(ICr) of 5.2% (95% confidence interval [CI] 4.6–5.8%), however high between-study heterogeneity (I(2) = 82.3%) was found. Exclusion of outliers led to a significant reduction of heterogeneity while still including 85% of all studies and resulted in a slightly lower CV(ICr) of 5.0% (95% CI 4.7–5.4%). Assuming an analytical variation of CV(A) 1.1%, we found an overall RCV for eGFR of ±16.5%. After exclusion of outlier studies, we found a minimum conservative RCV for eGFR of ±12.5%. CONCLUSION: The RCV of the eGFR represents a valuable tool for clinicians to discern true changes in kidney function from random fluctuation.