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Application of GFR estimation equations in elderly patients with measured GFR below 60 mL/min/1.73 m2

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Abstract

Background

Estimated glomerular filtration rate (eGFR) equations can be inaccurate when applied to elderly patients. Newly, the full-age-spectrum (FAS) equation was developed for use in elderly patients.

Aim

We compared the available eGFR equations in elderly Chinese patients with mGFRs < 60 mL/min/1.73 m2.

Methods

Measured glomerular filtration rates (mGFRs) were obtained using 99mTc-DTPA (diethylene-triamine-pentaacetic acid) scans, 220 patients ≥ 80 years with mGFRs < 60 mL/min/1.73 m2 were enrolled. Serum creatinine (SCr) levels were measured simultaneously, and eGFRs based on SCr were calculated using four formulas: the modification of diet in renal disease (MDRD), chronic kidney disease epidemiology collaboration (CKD-EPI-SCr), Berlin initiative study (BIS1), and the FAS-SCr equations.

Results

All the equations tended to overestimate GFR. The FAS-SCr equation provided the least bias (1.84), the highest proportion of eGFR within 30% of mGFR (P30, 72.7%), the bias and P30 of the BIS1 equation were 3.45 and 72.3%, respectively. In patients with mGFRs of 30–60 mL/min/1.73 m2, the BIS1 and FAS-SCr equations demonstrated better performances than the MDRD and CKD-EPI-SCr equations. While in patients with mGFR < 30 mL/min/1.73 m2, the accuracy of all equations was poor.

Discussion

In older patients with mGFRs of 30–60 mL/min/1.73 m2, the BIS1 and the FAS-SCr equations exhibited good performance, none of the equations based on SCr were suitable for older subjects with mGFRs < 30 mL/min/1.73 m2.

Conclusions

The BIS1 and FAS-SCr equations may be optimal for older patients with moderately reduced kidney function.

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References

  1. Zhang L, Wang F, Wang L et al (2012) Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet 379:815–822. https://doi.org/10.1016/s0140-6736(12)60033-6

    Article  PubMed  Google Scholar 

  2. Chadban SJ, Briganti EM, Kerr PG et al (2003) Prevalence of kidney damage in Australian adults: the AusDiab kidney study. J Am Soc Nephrol 14:S131–S138

    Article  Google Scholar 

  3. Coresh J, Selvin E, Stevens LA et al (2007) Prevalence of chronic kidney disease in the United States. JAMA 298:2038–2047. https://doi.org/10.1001/jama.298.17.2038

    Article  CAS  PubMed  Google Scholar 

  4. Yamagata K, Yagisawa T, Nakai S et al (2015) Prevalence and incidence of chronic kidney disease stage G5 in Japan. Clin Exp Nephrol 19:54–64. https://doi.org/10.1007/s10157-014-0978-x

    Article  CAS  PubMed  Google Scholar 

  5. Levey AS, Coresh J, Greene T et al (2006) Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 145:247–254

    Article  CAS  Google Scholar 

  6. Levey AS, Stevens LA, Schmid CH et al (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150:604–612

    Article  Google Scholar 

  7. Flamant M, Haymann JP, Vidal-Petiot E et al (2012) GFR estimation using the Cockcroft-Gault, MDRD study, and CKD-EPI equations in the elderly. Am J Kidney Dis 60:847–849. https://doi.org/10.1053/j.ajkd.2012.08.001

    Article  PubMed  Google Scholar 

  8. Liu X, Cheng MH, Shi CG et al (2012) Variability of glomerular filtration rate estimation equations in elderly Chinese patients with chronic kidney disease. Clin Interv Aging 7:409–415. https://doi.org/10.2147/cia.s36152

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Kilbride HS, Stevens PE, Eaglestone G et al (2013) Accuracy of the MDRD (modification of diet in renal disease) study and CKD-EPI (CKD epidemiology collaboration) equations for estimation of GFR in the elderly. Am J Kidney Dis 61:57–66. https://doi.org/10.1053/j.ajkd.2012.06.016

    Article  PubMed  Google Scholar 

  10. Schaeffner ES, Ebert N, Delanaye P et al (2012) Two novel equations to estimate kidney function in persons aged 70 years or older. Ann Intern Med 157:471–481. https://doi.org/10.7326/0003-4819-157-7-201210020-00003

    Article  PubMed  Google Scholar 

  11. Pottel H, Hoste L, Dubourg L et al (2016) An estimated glomerular filtration rate equation for the full age spectrum. Nephrol Dial Transplant 31:798–806. https://doi.org/10.1093/ndt/gfv454

    Article  PubMed  PubMed Central  Google Scholar 

  12. Koppe L, Klich A, Dubourg L et al (2013) Performance of creatinine-based equations compared in older patients. J Nephrol 26:716–723. https://doi.org/10.5301/jn.5000297

    Article  CAS  PubMed  Google Scholar 

  13. Changjie G, Xusheng Z, Feng H et al (2017) Evaluation of glomerular filtration rate by different equations in Chinese elderly with chronic kidney disease. Int Urol Nephrol 49:133–141. https://doi.org/10.1007/s11255-016-1359-z

    Article  PubMed  Google Scholar 

  14. Chai L, Wang M, Cai K et al (2018) Full age spectrum equation may be an alternative method to estimate the glomerular filtration rate in Chinese patients with chronic kidney disease. Clin Nephrol 89:413–421. https://doi.org/10.5414/cn109256

    Article  CAS  PubMed  Google Scholar 

  15. Wiggins J (2009) Podocytes and glomerular function with aging. Semin Nephrol 29:587–593. https://doi.org/10.1016/j.semnephrol.2009.07.012

    Article  PubMed  PubMed Central  Google Scholar 

  16. Lindeman RD, Tobin J, Shock NW (1985) Longitudinal studies on the rate of decline in renal function with age. J Am Geriatr Soc 33:278–285

    Article  CAS  Google Scholar 

  17. Liu BC, Wu XC, Wang YL et al (2008) Investigation of the prevalence of CKD in 13,383 Chinese hospitalised adult patients. Clin Chim Acta 387:128–132. https://doi.org/10.1016/j.cca.2007.09.020

    Article  CAS  PubMed  Google Scholar 

  18. Rigalleau V, Beauvieux MC, Gonzalez C et al (2011) Estimation of renal function in patients with diabetes. Diabetes Metab 37:359–366. https://doi.org/10.1016/j.diabet.2011.05.002

    Article  CAS  PubMed  Google Scholar 

  19. Ye X, Wei L, Pei X et al (2014) Application of creatinine- and/or cystatin C-based glomerular filtration rate estimation equations in elderly Chinese. Clin Interv Aging 9:1539–1549. https://doi.org/10.2147/cia.s68801

    Article  PubMed  PubMed Central  Google Scholar 

  20. Sjostrom P, Tidman M, Jones I (2005) Determination of the production rate and non-renal clearance of cystatin C and estimation of the glomerular filtration rate from the serum concentration of cystatin C in humans. Scand J Clin Lab Invest 65:111–124

    Article  CAS  Google Scholar 

  21. Knight EL, Verhave JC, Spiegelman D et al (2004) Factors influencing serum cystatin C levels other than renal function and the impact on renal function measurement. Kidney Int 65:1416–1421. https://doi.org/10.1111/j.1523-1755.2004.00517.x

    Article  CAS  PubMed  Google Scholar 

  22. Pottel H, Delanaye P, Schaeffner E et al (2017) Estimating glomerular filtration rate for the full age spectrum from serum creatinine and cystatin C. Nephrol Dial Transplant 32:497–507. https://doi.org/10.1093/ndt/gfw425

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Funding

This study was supported by the Capital Health Project of Beijing Science Committee (Grant no: Z131100004013042). The funding body had no role in study design, data collection, data interpretation, or manuscript writing.

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Authors and Affiliations

Authors

Contributions

AC designed the experiments, performed the experiments, collected the data, performed the formal analysis and wrote the manuscript. YS, LW, LS, ZY, JJ and JY performed the experiments and collected the data. YS designed experiments. JY designed experiments and reviewed/edited the manuscript. All authors reviewed the results and approved the final version of the manuscript.

Corresponding author

Correspondence to Jihong Yang.

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The authors declare that they have no competing interests.

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All procedures performed in studies involving human participants were in accordance with the Declaration of Helsinki and approved by the ethics committee of Beijing Hospital. (Ethical approval number: LLKYPJ 2012041).

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Written informed consent was obtained from all participants.

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Chen, A., Sun, Y., Li, W. et al. Application of GFR estimation equations in elderly patients with measured GFR below 60 mL/min/1.73 m2. Aging Clin Exp Res 32, 415–422 (2020). https://doi.org/10.1007/s40520-019-01218-2

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  • DOI: https://doi.org/10.1007/s40520-019-01218-2

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