The Korean journal of internal medicine

The Korean Association of Internal Medicine (대한내과학회)
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Validation of the Korean coefficient for the modification of diet in renal disease study equation

  • Oh, Yun Jung (Department of Internal Medicine, Cheju Halla General Hospital) ;
  • Cha, Ran-hui (Department of Internal Medicine, National Medical Center) ;
  • Lee, Seung Hwan (Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine) ;
  • Yu, Kyung Sang (Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine) ;
  • Kim, Satbyul Estella (Department of Epidemiology and Biostatistics, Seoul National University School of Public Health) ;
  • Kim, Ho (Department of Epidemiology and Biostatistics, Seoul National University School of Public Health) ;
  • Kim, Yon Su (Department of Internal Medicine, Seoul National University College of Medicine)
  • Received : 2014.07.28
  • Accepted : 2014.10.30
  • Published : 2016.03.01
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Abstract

Background/Aims: Race and ethnicity are important determinants when estimating glomerular filtration rate (GFR). The Korean coefficients for the isotope dilution mass spectrometry (IDMS) Modification of Diet in Renal Disease (MDRD) Study equations were developed in 2010. However, the coefficients have not been validated. The aim of this study was to validate the performance of the Korean coefficients for the IDMS MDRD Study equations. Methods: Equation development and validation were performed in separate groups (development group, n = 147 from 2008 to 2009; validation group, n = 125 from 2010 to 2012). We compared the performance of the original IDMS MDRD equations and modified equations with Korean coefficients. Performance was assessed by comparing correlation coefficients, bias, and accuracy between estimated GFR and measured GFR, with systemic inulin clearance using a single injection method. Results: The Korean coefficients for the IDMS MDRD equations developed previously showed good performance in the validation group. The new Korean coefficients for the four- and six-variable IDMS MDRD equations using both the development and validation cohorts were 1.02046 and 0.97300, respectively. No significant difference was detected for the new Korean coefficients, in terms of estimating GFR, between the original and modified IDMS MDRD Study equations. Conclusions: The modified equations with Korean coefficients for the IDMS MDRD Study equations were not superior to the original equations for estimating GFR. Therefore, we recommend using the original IDMS MDRD Study equation without ethnic adjustment in the Korean population.

Keywords

Acknowledgement

Supported by : Ministry for Health, Welfare, and Family Affairs

References

  1. Eknoyan G, Lameire N, Barsoum R, et al. The burden of kidney disease: improving global outcomes. Kidney Int 2004;66:1310-1314. https://doi.org/10.1111/j.1523-1755.2004.00894.x
  2. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 2004;351:1296-1305. https://doi.org/10.1056/NEJMoa041031
  3. Lina CY, WeiLinaa J. Association of Framingham Risk Score with chronic kidney disease: insight from National Health and Nutrition Examination Survey 2003-2006. Kidney Res Clin Pract 2012;31:A52.
  4. Huisman RM. The deadly risk of late referral. Nephrol Dial Transplant 2004;19:2175-2180. https://doi.org/10.1093/ndt/gfh409
  5. 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. https://doi.org/10.7326/0003-4819-130-6-199903160-00002
  6. Levey AS, Coresh J, Greene T, 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. https://doi.org/10.7326/0003-4819-145-4-200608150-00004
  7. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002;39(2 Suppl 1):S1-S266. https://doi.org/10.1016/S0272-6386(02)70081-4
  8. 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;67:2089-2100. https://doi.org/10.1111/j.1523-1755.2005.00365.x
  9. Wang V, Maciejewski ML, Hammill BG, et al. Recognition of CKD after the introduction of automated reporting of estimated GFR in the Veterans Health Administration. Clin J Am Soc Nephrol 2014;9:29-36. https://doi.org/10.2215/CJN.02490213
  10. Kagoma YK, Weir MA, Iansavichus AV, et al. Impact of estimated GFR reporting on patients, clinicians, and health-care systems: a systematic review. Am J Kidney Dis 2011;57:592-601. https://doi.org/10.1053/j.ajkd.2010.08.029
  11. Ma YC, Zuo L, Chen JH, et al. Modified glomerular filtration rate estimating equation for Chinese patients with chronic kidney disease. J Am Soc Nephrol 2006;17:2937-2944. https://doi.org/10.1681/ASN.2006040368
  12. 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. https://doi.org/10.1007/s10157-006-0453-4
  13. Matsuo S, Imai E, Horio M, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis 2009;53:982-992. https://doi.org/10.1053/j.ajkd.2008.12.034
  14. Imai E, Horio M, Nitta K, et al. Modification of the Modification of Diet in Renal Disease (MDRD) Study equation for Japan. Am J Kidney Dis 2007;50:927-937. https://doi.org/10.1053/j.ajkd.2007.09.004
  15. Lee CS, Cha RH, Lim YH, et al. Ethnic coefficients for glomerular filtration rate estimation by the Modification of Diet in Renal Disease study equations in the Korean population. J Korean Med Sci 2010;25:1616-1625. https://doi.org/10.3346/jkms.2010.25.11.1616
  16. Prescott LF, Freestone S, McAuslane JA. Reassessment of the single intravenous injection method with inulin for measurement of the glomerular filtration rate in man. Clin Sci (Lond) 1991;80:167-176. https://doi.org/10.1042/cs0800167
  17. Pastore A, Bernardini S, Dello Strologo L, Rizzoni G, Cortese C, Federici G. Simultaneous determination of inulin and p-aminohippuric acid in plasma and urine by reversed- phase high-performance liquid chromatography. J Chromatogr B Biomed Sci Appl 2001;751:187-191. https://doi.org/10.1016/S0378-4347(00)00444-8
  18. Du Bois D, Du Bois EF. A formula to estimate the approximate surface area if height and weight be known. 1916. Nutrition 1989;5:303-311.
  19. Duan N. Smearing estimate: a nonparametric retransformation method. J Am Stat Assoc 1983;78:605-610. https://doi.org/10.1080/01621459.1983.10478017
  20. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307-310.
  21. Teo BW, Xu H, Wang D, et al. GFR estimating equations in a multiethnic Asian population. Am J Kidney Dis 2011;58:56-63. https://doi.org/10.1053/j.ajkd.2011.02.393
  22. Waller DG, Keast CM, Fleming JS, Ackery DM. Measurement of glomerular filtration rate with technetium-99m DTPA: comparison of plasma clearance techniques. J Nucl Med 1987;28:372-377.
  23. Perrone RD, Steinman TI, Beck GJ, et al. Utility of radioisotopic filtration markers in chronic renal insufficiency: simultaneous comparison of 125I-iothalamate, 169Yb-DTPA, 99mTc-DTPA, and inulin: the Modification of Diet in Renal Disease Study. Am J Kidney Dis 1990;16:224-235. https://doi.org/10.1016/S0272-6386(12)81022-5
  24. van Rossum LK, Cransberg K, de Rijke YB, Zietse R, Lindemans J, Vulto AG. Determination of inulin clearance by single injection or infusion in children. Pediatr Nephrol 2005;20:777-781. https://doi.org/10.1007/s00467-004-1782-8
  25. van Rossum LK, Mathot RA, Cransberg K, Vulto AG. Optimal sampling strategies to assess inulin clearance in children by the inulin single-injection method. Clin Chem 2003;49:1170-1179. https://doi.org/10.1373/49.7.1170
  26. Vervoort G, Willems HL, Wetzels JF. Assessment of glomerular filtration rate in healthy subjects and normoalbuminuric diabetic patients: validity of a new (MDRD) prediction equation. Nephrol Dial Transplant 2002;17:1909-1913. https://doi.org/10.1093/ndt/17.11.1909
  27. Rossing P, Rossing K, Gaede P, Pedersen O, Parving HH. Monitoring kidney function in type 2 diabetic patients with incipient and overt diabetic nephropathy. Diabetes Care 2006;29:1024-1030. https://doi.org/10.2337/dc05-2201
  28. Poggio ED, Wang X, Greene T, Van Lente F, Hall PM. Performance of the modification of diet in renal disease and Cockcroft-Gault equations in the estimation of GFR in health and in chronic kidney disease. J Am Soc Nephrol 2005;16:459-466. https://doi.org/10.1681/ASN.2004060447
  29. Hsu CY, Chertow GM, Curhan GC. Methodological issues in studying the epidemiology of mild to moderate chronic renal insufficiency. Kidney Int 2002;61:1567-1576. https://doi.org/10.1046/j.1523-1755.2002.00299.x
  30. White CA, Akbari A, Doucette S, Fergusson D, Knoll GA. Estimating glomerular filtration rate in kidney transplantation: is the new chronic kidney disease epidemiology collaboration equation any better? Clin Chem 2010;56:474-477. https://doi.org/10.1373/clinchem.2009.135111
  31. Murata K, Baumann NA, Saenger AK, Larson TS, Rule AD, Lieske JC. Relative performance of the MDRD and CKDEPI equations for estimating glomerular filtration rate among patients with varied clinical presentations. Clin J Am Soc Nephrol 2011;6:1963-1972. https://doi.org/10.2215/CJN.02300311

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