Estimated Glomerular Filtration Rates Show Minor but Significant Differences Between the Single and Subgroup Creatinine-Based Chronic Kidney Disease Epidemiology Collaboration Equations
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
The creatinine-based Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation can be calculated according to race, sex, and creatinine concentration (subgroup equation) or in the form expressed by one equation (single equation). Minor differences in the constants used in the CKD-EPI equations (subgroup vs single equations) could result in a significant difference in the estimated glomerular filtration rate (eGFR). We evaluated the impact of this difference in 79,709 Korean patients. The eGFR was calculated as an integer using the single and subgroup CKD-EPI equations. The differences in eGFR and GFR categories between the equations were analyzed. eGFR was higher in the subgroup equation than the single equation by 1 mL/min/1.73 m2 for 12,476 (27.4%) Korean females. The GFR category based on the subgroup equation was reclassified using the single equation for 352 (0.77%) females. Based on the results, the constant of the single equation was optimized. There was no difference in eGFR values between equations using a multiplier of 1.0213 instead of 1.018 for the “white or other” females constant in the single CKD-EPI equation. Clinicians should carefully apply the CKD-EPI equation because eGFR values may differ by 1 mL/min/1.73 m2 depending on the manner of calculation. To minimize these differences, the constants of the single equation should be revised.
Abstract
The creatinine-based Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation can be calculated according to race, sex, and creatinine concentration (subgroup equation) or in the form expressed by one equation (single equation). Minor differences in the constants used in the CKD-EPI equations (subgroup vs single equations) could result in a significant difference in the estimated glomerular filtration rate (eGFR). We evaluated the impact of this difference in 79,709 Korean patients. The eGFR was calculated as an integer using the single and subgroup CKD-EPI equations. The differences in eGFR and GFR categories between the equations were analyzed. eGFR was higher in the subgroup equation than the single equation by 1 mL/min/1.73 m2 for 12,476 (27.4%) Korean females. The GFR category based on the subgroup equation was reclassified using the single equation for 352 (0.77%) females. Based on the results, the constant of the single equation was optimized. There was no difference in eGFR values between equations using a multiplier of 1.0213 instead of 1.018 for the “white or other” females constant in the single CKD-EPI equation. Clinicians should carefully apply the CKD-EPI equation because eGFR values may differ by 1 mL/min/1.73 m2 depending on the manner of calculation. To minimize these differences, the constants of the single equation should be revised.
참고문헌 (17)
- Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group, "KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease", Kidney Inter Suppl, 3, pp.1~150 (2013)
- Levey AS, "A new equation to estimate glomerular filtration rate", Ann Intern Med, 150, pp.604~612 (2009)
- 고대현, "Proposed Imprecision Quality Goals for Urinary Albumin", Creatinine Ratio, 2018, pp.38(5), 420~424[DOI]
- Katzmann JA, "Serum free light chain specificity and sensitivity : a reality check", Clin Chem, 52, pp.1638~1639 (2006)
- Jeong TD, "A new strategy for calculating the risk of ovarian malignancy algorithm(ROMA)", Clin Chem Lab Med, 55, pp.1209~1214 (2017)
- Müller-Plathe O, "Computational"blood oxygen status : requirements and limitations", Scand J Clin Lab Invest Suppl, 203, pp.129~133 (1990)
- "The National Institute of Diabetes and Digestive and Kidney Diseases" (2018)[URL]
- "National Kidney Foundation" (2018)[URL]
- Levey AS, "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, 130, pp.461~470 (1999)
- Joffe M, "Variability of creatinine measurements in clinical laboratories : results from the CRIC study", Am J Nephrol, 31, pp.426~434 (2010)
- Murthy K, "Variation in the serum creatinine assay calibration : a practical application to glomerular filtration rate estimation", Kidney Int, 68, pp.1884~1887 (2005)
- Gowans EM, "Biological variation of serum and urine creatinine and creatinine clearance : ramifications for interpretation of results and patient care", Ann Clin Biochem, 25, pp.259~263 (1988)
- Stevens LA, "Assessing kidney function--measured and estimated glomerular filtration rate", N Engl J Med, 354, pp.2473~2483 (2006)
- Stevens LA, "Evaluation of the Chronic Kidney Disease Epidemiology Collaboration equation for estimating the glomerular filtration rate in multiple ethnicities", Kidney Int, 79, pp.555~562 (2011)
- Jeong TD, "Development and validation of the Korean version of CKD-EPI equation to estimate glomerular filtration rate", Clin Biochem, 49, pp.713~719 (2016)
- 정태동, "Accuracy Assessment of Five Equations Used for Estimating the Glomerular Filtration Rate in Korean Adults", Annals of Laboratory Medicine, 37(5), pp.371~380 (2017), 대한진단검사의학회
- Inker LA, "KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD", Am J Kidney Dis, 63, pp.713~735 (2014)