PERFORMANCE OF CHRONIC KIDNEY DISEASE EPIDEMIOLOGY COLLABORATION (CKD-EPI) FORMULA AND INULIN BASED GLOMERULAR FILTRATION RATE EQUATION (IB-EGFR) AGAINST IOTHALAMATE PLASMA URINE CLEARANCE AND 24 HOUR URINE CREATININE CLEARANCE MEASUREMENT IN LIVE DONOR NEPHRECTOMY EVALUATION

2010 ◽  
Vol 90 ◽  
pp. 347
Author(s):  
B. Tanriover ◽  
M. Ghanta ◽  
D. J. Cohen ◽  
L. Ratner ◽  
T. L. Nicholas
2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Mokhamad Khasun ◽  
Ivan Kayukov, ◽  
Olga Beresneva ◽  
Marina Parastaeva ◽  
Anatoly Kucher ◽  
...  

Abstract Background and Aims Glomerular filtration rate (GFR) is the most important and accurate parameter of kidney function in the course of chronic kidney disease (CKD). Renal or plasma inulin, diethylenetriaminepentaacetate (DTPA), ethylenediaminetetraacetate (EDTA), radiocontrast agents (iohexol, iothalamate) and some other substances clearances are the reference methods for determining GFR. However, these methods cannot be applied routinely because of the inconvenience. Several available methods have been developed to estimate GFR in a simpler manner and at low costs. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation is widely used to evaluate the GFR in practice. However, this equation is not accurate for the full age spectrum. In 2016, the new equation, full age spectrum equation, based on the serum creatinine (FAScr), was developed and can be applicable to all ages. However, data on the benefits of using the FAScr-method in different populations are contradictory. In particular, it is unclear whether the FAScr provides any advantages over the CKD-EPI method in adults. In this regards, we attempted to compare data obtained FAScr method with results some non-reference and reference methods in adult Russian population. Method We examined 120 Caucasian patients (M:F - 52:68; age 18-76 year) with CKD 1 - 5 stages. Patients with nephrotic syndrome and congestive heart failure were excluded. GFR (reference method) measured by plasma clearance of 99mTc-DTPA (CDTPA). CDTPA determined by one- compartment model 2-4 h method using a Chantler-Barratt linear correction. Estimation GFRs (eGFR) were established by Cockcroft-Gault creatinine clearance (CG), CKD-EPI (creatinine), FAScr and Modification of Diet in Renal Disease (MDRD) methods. Also, renal creatinine clearance (Ccr; UV/P method) was measured. Only GFRs values corrected on 1.73 m2 body surface area had been use. Results The values of GFR (Mean(SEM)) are: CDTPA 67.0(2.46); FAS 69.7(2.50); CKD-EPI 64.3(2.54); MDRD 60.9(2.62); CG 77.6(3.31); Ccr 85.2(3.40), мл/мин/1.73 m2. MDRD was significantly lower (paired Student t-test with correction on multiply comparison by Benjamini-Hochberg method) than CDTPA (P=0.0024), CG (P=0.0001) or Ccr (P<0.0001) were significantly higher. The bias (CDTPA minus non reference GFR) were: FAS -2.67(1.71); CKD-EPI 2.72(1.58); MDRD 6.12(1.78); CG -10.57(2.51); Ccr -18.22(2.26), ml/min. All biases are significantly differ between themselves (P from 0.00064 to <0.000001). The percentage of P30 of the FAS 81.6(3.5) was not significant differ from P30 of CKD-EPI (78.3(3.8); P=0.524) or MDRD (71.7(4.1); P=0.071). However, P30 of CG (67.5(4.3),%; P=0.01) or Ccr (54.2(5.42),%; P<0,001) were significant lower, than P30 of FAS. There were significant comparable direct correlations between CDTPA and FAS (r=0.764), CKD-EPI (r=0.801), MDRD (r=0.756), CG (r=0.656), Ccr (r=0.749); P<0.00001 in all cases. Conclusion In adult Russian population FAScr-method of GFR estimation had not any advantage over CKD-EPIcr-method.


2020 ◽  
Vol 13 (4) ◽  
pp. 674-683 ◽  
Author(s):  
Jonas Björk ◽  
Ulf Nyman ◽  
Marie Courbebaisse ◽  
Lionel Couzi ◽  
R Neil Dalton ◽  
...  

Abstract Background The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation is routinely used to assess renal function but exhibits varying accuracy depending on patient characteristics and clinical presentation. The overall aim of the present study was to assess if and to what extent glomerular filtration rate (GFR) estimation based on creatinine can be improved. Methods In a cross-sectional analysis covering the years 2003–17, CKD-EPI was validated against measured GFR (mGFR; using various tracer methods) in patients with high likelihood of chronic kidney disease (CKD; five CKD cohorts, n = 8365) and in patients with low likelihood of CKD (six community cohorts, n = 6759). Comparisons were made with the Lund–Malmö revised equation (LMR) and the Full Age Spectrum equation. Results 7In patients aged 18–39 years old, CKD-EPI overestimated GFR with 5.0–16 mL/min/1.73 m2 in median in both cohort types at mGFR levels <120 mL/min/1.73 m2. LMR had greater accuracy than CKD-EPI in the CKD cohorts (P30, the percentage of estimated GFR within 30% of mGFR, 83.5% versus 76.6%). CKD-EPI was generally the most accurate equation in the community cohorts, but all three equations reached P30 above the Kidney Disease Outcomes Quality Initiative benchmark of 90%. Conclusions None of the evaluated equations made optimal use of available data. Prospects for improved GFR estimation procedures based on creatinine exist, particularly in young adults and in settings where patients with suspected or manifest CKD are investigated.


Author(s):  
Francisco Veríssimo Veronese ◽  
Eduardo C. Gomes ◽  
Joana Chanan ◽  
Maicon A. Carraro ◽  
Eduardo G. Camargo ◽  
...  

AbstractThe Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation seems to correct the overdiagnosis of chronic kidney disease (CKD) provided by Modification of Diet in Renal Disease (MDRD) equation. However, this point has not been tested in some ethnic groups. This study investigated the performance of MDRD and CKD-EPI equations in South Brazilian individuals.This cross-sectional study included 354 individuals including healthy volunteers, diabetic and non-diabetic individuals with or without CKD. Glomerular filtration rate (GFR) was measured by theIn the group as a whole,CKD-EPI reduces GFR underestimation in individuals with GFRs >60, but still presents a quite low accuracy at this GFR range. Moreover, it tends to overestimate GFR in subjects with GFRs <60 mL/min/1.73 m


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