Skip to main content

Advertisement

Log in

Geriatric assessment of estimated glomerular filtration rate: a cross-sectional study

  • Original article
  • Published:
Clinical and Experimental Nephrology Aims and scope Submit manuscript

Abstract

Background

Estimated glomerular filtration rate (eGFR) is routinely calculated based on the serum creatinine level. However, the validity of such calculation in the geriatric population has not been sufficiently assessed. To examine whether the discrepancies between the eGFR determined based on the serum creatinine (eGFRcr) and that based on the serum cystatin C (eGFRcys) may be influenced to a lesser degree, by factors such as aging and muscle mass.

Methods

We measured the cystatin C and creatinine levels in 19,764 subjects (mean 77.0 years) and the eGFRcys and eGFRcr using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), Japanese, and Berlin Invitation Study (BIS) equations were calculated.

Results

The mean measured eGFRcys and eGFRcr values by the CKD-EPI equation were 48.2 and 66.6 ml/min/1.73 m2 body surface area, respectively. The correlation between the eGFRcr (x) and eGFRcys (y) was y = 0.728x (r = 0.867; p < 0.001). Analysis of the slope among all ages could be shown by the relation, eGFRcys = (0.43 + 0.33/(1 + 10^((82-age)* − 0.046)))*eGFRcr. The correlation between the eGFRcr and eGFRcys by the Japanese equation were also similar. However, when it was calculated by the BIS equation, no drop of the slope of the linear regression line was observed with age.

Conclusions

The eGFRcr was overestimated irrespective of whether the CKD-EPI or the Japanese equation was used. We could convert eGFRcr into eGFRcys by an equation using age. Estimation of eGFR including serum cystatin C was more accurate in elderly people.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. World Health Organization. Good health adds life to years: global brief for world health day 2012. Geneva: World Health Organization; 2012.

    Google Scholar 

  2. Nagata M, Ninomiya T, Doi Y, et al. Trends in the prevalence of chronic kidney disease and its risk factors in a general Japanese population: the Hisayama study. Nephrol Dial Transplant. 2010;25:2557–644.

    Article  Google Scholar 

  3. Corsonello A, Pedone C, Corica F, Mussi C, Carbonin P, Antonelli Incalzi R. Gruppo Italiano di Farmacovigilanza nell'Anziano (GIFA) investigators: concealed renal insufficiency and adverse drug reactions in elderly hospitalized patients. Arch Intern Med. 2005;165:790–5.

    Article  Google Scholar 

  4. Dharnidharka VR, Kwon C, Stevens G. Serum cystatin C is superior to serum creatinine as a marker of kidney function: a meta-analysis. Am J Kidney Dis. 2002;40:221–6.

    Article  CAS  Google Scholar 

  5. Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12.

    Article  Google Scholar 

  6. Inker LA, Schmid CH, Tighiouart H, et al. CKD-EPI investigators: estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med. 2012;367:20–9.

    Article  CAS  Google Scholar 

  7. Matsuo S, Imai E, Horio M, et al. Collaborators developing the Japanese equation for estimated GFR: revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–92.

    Article  CAS  Google Scholar 

  8. Horio M, Imai E, Yasuda Y, Watanabe T, Matsuo S. Collaborators developing the Japanese equation for estimated GFR: GFR estimation using standardized serum cystatin C in Japan. Am J Kidney Dis. 2013;61:197–203.

    Article  CAS  Google Scholar 

  9. Schaeffner ES, Ebert N, Delanaye P, et al. Two novel equations to estimate kidney function in persons aged 70 years or older. Ann Intern Med. 2012;157:471–81.

    Article  Google Scholar 

  10. Levey AS, Coresh J, Bolton K, et al. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002;39:S1–S266.

    Google Scholar 

  11. Levey AS, Coresh J, Greene T, et al. Chronic kidney disease epidemiology collaboration: expressing the modification of diet in renal disease study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem. 2007;53:766–72.

    Article  CAS  Google Scholar 

  12. Grubb A, Blirup-Jensen S, Lindstrom V, Schmidt C, Althaus H, Zegers I. First certified reference material for cystatin C in human serum ERM-DA471/IFCC. Clin Chem Lab Med. 2010;48:1619–21.

    Article  CAS  Google Scholar 

  13. Blirup-Jensen S, Grubb A, Lindstrom V, Schmidt C, Althaus H. Standardization of cystatin C: development of primary and secondary reference preparations. Scand J Clin Lab Invest Suppl. 2008;241:67–70.

    Article  CAS  Google Scholar 

  14. Levey AS, Eckardt KU, Tsukamoto Y, et al. Definition and classification of chronic kidney disease: a position statement from kidney disease: improving global outcomes (KDIGO). Kidney Int. 2005;67:2089–100.

    Article  Google Scholar 

  15. Smith H. The kidney structure and function in health and disease. New York: Oxford University Press; 1951. p. 23–35.

    Google Scholar 

  16. Imai E, Horio M, Nitta K, et al. Estimation of glomerular filtration rate by the MDRD study equation modified for Japanese patients with chronic kidney disease. Clin Exp Nephrol. 2007;11:41–50.

    Article  Google Scholar 

  17. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med. 1999;130:461–70.

    Article  CAS  Google Scholar 

  18. Levey AS, Stevens LA. Estimating GFR using the CKD epidemiology collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions. Am J Kidney Dis. 2010;55:622–7.

    Article  Google Scholar 

  19. Corsonello A, Pedone C, Corica F, et al. Concealed renal failure and adverse drug reactions in older patients with type 2 diabetes mellitus. J Gerontol A Biol Sci Med Sci. 2005;60:1147–51.

    Article  Google Scholar 

  20. Roubenoff R. Sarcopenia: effects on body composition and function. J Gerontol A Biol Sci Med Sci. 2003;58:1012–7.

    Article  Google Scholar 

  21. Cruz-Jentoft AJ, Baeyens JP, et al. Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people. Age Ageing. 2010;39:412–23.

    Article  Google Scholar 

  22. Stevens LA, Schmid CH, Greene T, et al. Comparative performance of the CKD epidemiology collaboration (CKD-EPI) and the modification of diet in renal disease (MDRD) study equations for estimating GFR levels above 60 mL/min/1.73 m2. Am J Kidney Dis. 2010;56:486–95.

    Article  Google Scholar 

  23. Fan L, Levey AS, Gudnason V, et al. Comparing GFR estimating equations using cystatin C and creatinine in elderly individuals. J Am Soc Nephrol. 1999;26:1982–99.

    Article  CAS  Google Scholar 

  24. Koppe L, Klich A, Dubourg L, Ecochard R, Hadj-Aissa A. Performance of creatinine-based equations compared in older patients. J Nephrol. 2013;26:716–23.

    Article  CAS  Google Scholar 

  25. Tetsuka S, Morita M, Ikeguchi K. Creatinine/cystatin C ratio as a surrogate marker of residual muscle mass in amyotrophic lateral sclerosis. Neurol Clin Neurosci. 2013;1:32–7.

    Article  CAS  Google Scholar 

  26. Suzuki K, Furuse H, Tsuda T, et al. Utility of creatinine/cystatin C ratio as a predictive marker for adverse effects of chemotherapy in lung cancer: a retrospective study. J Int Med Res. 2015;43:573–82.

    Article  CAS  Google Scholar 

  27. Afilalo J, Karunananthan S, Eisenberg MJ, et al. Role of frailty in patients with cardiovascular disease. Am J Cardiol. 2009;103:1616–21.

    Article  Google Scholar 

  28. Li G, Prior JC, Leslie WD, et al. Frailty and risk of fractures in patients with type 2 diabetes. Diabetes Care. 2019;42:507–13.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to express our sincere appreciation to all related parties at the Medical Administration Division who cooperated in this study.

Funding

All sources of support for this study were self-funded.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takashi Takei.

Ethics declarations

Conflict of interest

The authors have no competing financial interest to declare.

Ethics approval

The protocol for this study was approved by the Ethics Committee of Tokyo Metropolitan Hospital (IRB approval number 16-06). Collection of patient samples was carried out according to the regulations of our ethics committee.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 54 kb)

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yamaguchi, Y., Itabashi, M., Yumura, W. et al. Geriatric assessment of estimated glomerular filtration rate: a cross-sectional study. Clin Exp Nephrol 24, 216–224 (2020). https://doi.org/10.1007/s10157-019-01797-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10157-019-01797-4

Keywords

Navigation