Ann Lab Med.  2016 Nov;36(6):521-528. 10.3343/alm.2016.36.6.521.

Comparing Results of Five Glomerular Filtration Rate-Estimating Equations in the Korean General Population: MDRD Study, Revised Lund-Malmö, and Three CKD-EPI Equations

Affiliations
  • 1Department of Laboratory Medicine, Veterans Health Service Medical Center, Seoul, Korea.
  • 2Korea Association of Health Promotion, Seoul, Korea.
  • 3Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea. dearmina@hanmail.net
  • 4Department of Cardiovascular Medicine, Konkuk University School of Medicine, Seoul, Korea.
  • 5Department of Medical Sciences and Translational Medicine, University of Rome Sapienza, Sant'Andrea Hospital, Rome, Italy.

Abstract

BACKGROUND
Estimated glomerular filtration rate (eGFR) is a widely used index of kidney function. Recently, new formulas such as the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations or the Lund-Malmö equation were introduced for assessing eGFR. We compared them with the Modification of Diet in Renal Disease (MDRD) Study equation in the Korean adult population.
METHODS
The study population comprised 1,482 individuals (median age 51 [42-59] yr, 48.9% males) who received annual physical check-ups during the year 2014. Serum creatinine (Cr) and cystatin C (CysC) were measured. We conducted a retrospective analysis using five GFR estimating equations (MDRD Study, revised Lund-Malmö, and Cr and/or CysC-based CKD-EPI equations). Reduced GFR was defined as eGFR <60 mL/min/1.73 m2.
RESULTS
For the GFR category distribution, large discrepancies were observed depending on the equation used; category G1 (≥90 mL/min/1.73 m2) ranged from 7.4-81.8%. Compared with the MDRD Study equation, the other four equations overestimated GFR, and CysC-based equations showed a greater difference (-31.3 for CKD-EPI(CysC) and -20.5 for CKD-EPI(Cr-CysC)). CysC-based equations decreased the prevalence of reduced GFR by one third (9.4% in the MDRD Study and 2.4% in CKD-EPI(CysC)).
CONCLUSIONS
Our data shows that there are remarkable differences in eGFR assessment in the Korean population depending on the equation used, especially in normal or mildly decreased categories. Further prospective studies are necessary in various clinical settings.

Keyword

Estimated glomerular filtration rate; MDRD Study equation; CKD-EPI equation; Revised Lund-Malmö equation

MeSH Terms

Adult
Aged
*Algorithms
Creatinine/blood
Cystatin C/blood
Female
Glomerular Filtration Rate/*physiology
Humans
Male
Middle Aged
Renal Insufficiency, Chronic/physiopathology
Retrospective Studies
Creatinine
Cystatin C

Figure

  • Fig. 1 Bland-Altman plots of estimated glomerular filtration rate (eGFR) calculated by the MDRD Study equation and others (n=1,482). (A) CKD-EPICr equation. (B) LMRevised equation. (C) CKD-EPICysC equation. (D) CKD-EPICr-CysC equation. The solid gray lines represent the mean difference and dashed lines depict±1.96 SD. A negative difference suggests an overestimation of GFR by each equation compared with the value obtained by the MDRD Study equation. For ease of display, the maximum scale on the vertical axis of (A) and (B) was limited to 30, while that on (C) and (D) was limited to 90 depending on the distribution of the eGFR difference between equations.


Cited by  1 articles

Biomarker-Guided Risk Assessment for Acute Kidney Injury: Time for Clinical Implementation?
Christian Albert, Michael Haase, Annemarie Albert, Antonia Zapf, Rüdiger Christian Braun-Dullaeus, Anja Haase-Fielitz
Ann Lab Med. 2021;41(1):1-15.    doi: 10.3343/alm.2021.41.1.1.


Reference

1. Levey AS, Atkins R, Coresh J, Cohen EP, Collins AJ, Eckardt KU, et al. Chronic kidney disease as a global public health problem: approaches and initiatives - a position statement from Kidney Disease Improving Global Outcomes. Kidney Int. 2007; 72:247–259. PMID: 17568785.
2. Levey AS, Becker C, Inker LA. Glomerular filtration rate and albuminuria for detection and staging of acute and chronic kidney disease in adults: a systematic review. JAMA. 2015; 313:837–846. PMID: 25710660.
3. Carville S, Wonderling D, Stevens P. Guideline Development Group. Early identification and management of chronic kidney disease in adults: summary of updated NICE guidance. BMJ. 2014; 349:g4507. PMID: 25059691.
4. Kidney Disease: Improving Global Outcomes (KDIGO). KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Updated on Jan 2013. http://www.kdigo.org/clinical_practice_guidelines/pdf/CKD/KDIGO_2012_CKD_GL.pdf.
5. Inker LA, Astor BC, Fox CH, Isakova T, Lash JP, Peralta CA, et al. KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD. Am J Kidney Dis. 2014; 63:713–735. PMID: 24647050.
6. Akbari A, Clase CM, Acott P, Battistella M, Bello A, Feltmate P, et al. Canadian Society of Nephrology commentary on the KDIGO clinical practice guideline for CKD evaluation and management. Am J Kidney Dis. 2015; 65:177–205. PMID: 25511161.
7. College of American Pathologists. Practices and recommendations for reporting estimated glomerular filtration rate (eGFR). Accessed on Apr 1, 2016. http://www.cap.org/ShowProperty?nodePath=/UCMCon/Contribution%20Folders/Web-Content/pdf/current-status-reporting-egfr-2013.pdf.
8. 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. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999; 130:461–470. PMID: 10075613.
9. Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med. 2006; 145:247–254. PMID: 16908915.
10. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009; 150:604–612. PMID: 19414839.
11. Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T, et al. Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med. 2012; 367:20–29. PMID: 22762315.
12. Delanaye P, Cavalier E, Cristol JP, Delanghe JR. Calibration and precision of serum creatinine and plasma cystatin C measurement: impact on the estimation of glomerular filtration rate. J Nephrol. 2014; 27:467–475. PMID: 24711159.
13. Björk J, Grubb A, Sterner G, Nyman U. Revised equations for estimating glomerular filtration rate based on the Lund-Malmö Study cohort. Scand J Clin Lab Invest. 2011; 71:232–239. PMID: 21391777.
14. Björk J, Jones I, Nyman U, Sjöström P. Validation of the Lund-Malmö, Chronic Kidney Disease Epidemiology (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations to estimate glomerular filtration rate in a large Swedish clinical population. Scand J Urol Nephrol. 2012; 46:212–222. PMID: 22250974.
15. Nyman U, Grubb A, Larsson A, Hansson LO, Flodin M, Nordin G, et al. The revised Lund-Malmö GFR estimating equation outperforms MDRD and CKD-EPI across GFR, age and BMI intervals in a large Swedish population. Clin Chem Lab Med. 2014; 52:815–824. PMID: 24334413.
16. Ohsawa M, Tanno K, Itai K, Turin TC, Okamura T, Ogawa A, et al. Concordance of CKD stages in estimation by the CKD-EPI equation and estimation by the MDRD equation in the Japanese general population: the Iwate KENCO Study. Int J Cardiol. 2013; 165:377–379. PMID: 22995411.
17. Jeong TD, Lee W, Chun S, Lee SK, Ryu JS, Min WK, et al. Comparison of the MDRD study and CKD-EPI equations for the estimation of the glomerular filtration rate in the Korean general population: the fifth Korea National Health and Nutrition Examination Survey (KNHANES V-1),2010. Kidney Blood Press Res. 2013; 37:443–450. PMID: 24247487.
18. Shin SY, Kwon MJ, Park H, Woo HY. Comparison of chronic kidney disease prevalence examined by the chronic kidney disease epidemiology collaboration equation with that by the modification of diet in renal disease equation in Korean adult population. J Clin Lab Anal. 2014; 28:320–327. PMID: 24578261.
19. Shafi T, Matsushita K, Selvin E, Sang Y, Astor BC, Inker LA, et al. Comparing the association of GFR estimated by the CKD-EPI and MDRD study equations and mortality: the third national health and nutrition examination survey (NHANES III). BMC Nephrol. 2012; 13:42. PMID: 22702805.
20. Delanaye P, Cavalier E, Moranne O, Lutteri L, Krzesinski JM, Bruyère O. Creatinine-or cystatin C-based equations to estimate glomerular filtration in the general population: impact on the epidemiology of chronic kidney disease. BMC Nephrol. 2013; 14:57. PMID: 23496839.
21. Taylor R. Interpretation of the correlation coefficient: a basic review. J Diagn Med Sonogr. 1990; 6:35–39.
22. Altman DG. Practical statistics for medical research. New York: Chapman and Hall;1991.
23. Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Inter (Suppl). 2012; 2:1–138. Updated on Mar 2012. http://www.kdigo.org/clinical_practice_guidelines/pdf/KDIGO%20AKI%20Guideline.pdf.
24. Levey AS, Inker LA, Coresh J. GFR estimation: from physiology to public health. Am J Kidney Dis. 2014; 63:820–834. PMID: 24485147.
25. Jeong TD, Lee W, Yun YM, Chun S, Song J, Min WK. Development and validation of the Korean version of CKD-EPI equation to estimate glomerular filtration rate. Clin Biochem. 2016; 49:713–719. PMID: 26968101.
26. Pottel H, Hoste L, Dubourg L, Ebert N, Schaeffner E, Eriksen BO, et al. An estimated glomerular filtration rate equation for the full age spectrum. Nephrol Dial Transplant. 2016; 31:798–806. PMID: 26932693.
27. Björk J, Grubb A, Larsson A, Hansson LO, Flodin M, Sterner G, et al. Accuracy of GFR estimating equations combining standardized cystatin C and creatinine assays: a cross-sectional study in Sweden. Clin Chem Lab Med. 2015; 53:403–414. PMID: 25274955.
28. Lujambio I, Sottolano M, Luzardo L, Robaina S, Krul N, Thijs L, et al. Estimation of glomerular filtration rate based on serum cystatin C versus creatinine in a Uruguayan population. Int J Nephrol. 2014; 2014:837106. PMID: 25215234.
29. Grams ME, Juraschek SP, Selvin E, Foster MC, Inker LA, Eckfeldt JH, et al. Trends in the prevalence of reduced GFR in the United States: a comparison of creatinine- and cystatin C-based estimates. Am J Kidney Dis. 2013; 62:253–260. PMID: 23619125.
Full Text Links
  • ALM
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr