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A Long-term Estimated Glomerular Filtration Rate Plot Analysis Permits the Accurate Assessment of a Decline in the Renal Function by Minimizing the Influence of Estimated Glomerular Filtration Rate Fluctuations

Authors :
Jun Nakazawa
Satoru Yamanaka
Shohei Yoshida
Mamoru Yoshibayashi
Miho Yoshioka
Takamasa Ito
Shin-ichi Araki
Shinji Kume
Hiroshi Maegawa
Source :
Internal medicine (Tokyo, Japan). 61(12)
Publication Year :
2022

Abstract

Objective:Evaluating the rate of decline in the estimated glomerular filtration rate (eGFR) may help identify patients with occult chronic kidney disease (CKD). We herein report that eGFR fluctuation complicates the assessment of the rate of decline and propose a long-term eGFR plot analysis as a solution.<br />Methods:In 142 patients with persistent eGFR decline in a single hospital, we evaluated the factors influencing the rate of eGFR decline, calculated over the long term (≥3 years) and short term (<br />Results:The difference between the rate of eGFR decline calculated using short- and long-term plots increased as the time period considered in the short-term plots became shorter. A regression analysis revealed that eGFR fluctuation was the only factor that explained the difference and that the fluctuation exceeded the annual eGFR decline in all participants. Furthermore, the larger the eGFR fluctuation, the more difficult it became to detect eGFR decline using a short-term eGFR analysis. Obesity, a high eGFR at baseline, and faster eGFR decline were associated with larger eGFR fluctuations. To circumvent the issue of eGFR fluctuation in the assessment of the rate of eGFR decline, we developed a system that generates a long-term eGFR plot using all eGFR values for a participant, which enabled the detection of occult CKD, facilitating early therapeutic intervention.<br />Conclusion:The construction of long-term eGFR plots is useful for identifying patients with progressive eGFR decline, as it minimizes the effect of eGFR fluctuation.

Details

ISSN :
13497235
Volume :
61
Issue :
12
Database :
OpenAIRE
Journal :
Internal medicine (Tokyo, Japan)
Accession number :
edsair.doi.dedup.....0cef6a6a02eaca1a5d10a104ab21e480