Sebastião Rodrigues Ferreira-Filho, Camila Caetano Cardoso, Luiz Augusto Vieira de Castro, Ricardo Mendes Oliveira, and Renata Rodrigues Sá

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SAGE-Hindawi Access to Research International Nephrology Volume 211, Article ID 626178, 4 pages doi:1.461/211/626178 Research Article Comparison of Measured Creatinine Clearance and Clearances Estimated by Cockcroft-Gault and MDRD Formulas in Patients with a Single Kidney Sebastião Rodrigues Ferreira-Filho, Camila Caetano Cardoso, Luiz Augusto Vieira de Castro, Ricardo Mendes Oliveira, and Renata Rodrigues Sá Medical School, Federal University of Uberlândia, Uberlândia MG, Brazil Correspondence should be addressed to SebastiãoRodrigues Ferreira-Filho, ferreirafilho1952@gmail.com Received 12 January 211; Revised 7 April 211; Accepted 12 April 211 Academic Editor: Jaime Uribarri Copyright 211 Sebastião Rodrigues Ferreira-Filho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. There are doubts about whether the values obtained from the Cockroft-Gault (Cl CG ) and Modification of Diet in Renal Disease (GFR MDRD ) formulas are comparable to the more traditional formula used to obtain the creatinine clearance from a 24-hour urine collection (ClCr m ), particularly in patients with only one kidney. The present study aimed to compare these formulas in individuals with one remaining kidney after previous nephrectomy (Nx) and to verify which estimated formula correlates more closely with ClCr m. Thirty-six patients who had undergone Nx had their renal filtration analyzed with Cl CG,GFR MDRD and by ClCr m.the average time after Nx was 11.6 ± 9. years, and the average age at the time of the study was 5.7 ± 1.6 years old(x ± SD). The results of three clearances were 81.1±35.6mL min m 2 for ClCr m,7.4±24.ml min m 2 for ClCr CG,and71.2±19.2mL min m 2 for GFR MDRD (with ClCr m > ClCr CG and GFR MDRD ; P<.1). No difference was found between the ClCr CG and GFR MDRD values (P =.72). The data demonstrated that both estimate formulas were strongly correlated with ClCr m, although ClCr CG was more closely associated with ClCr m than GFR MDRD (ClCr CG with r 2 :.64 and GFR MDRD with r 2 :.34; P<.1). In conclusion, for people with only one kidney remaining after NX, our data showed that glomerular filtration rate estimation by ClCr CG is more related to the values obtained with the traditional clearance measurement based on a 24-hour urine collection test. 1. Introduction The Kidney Disease Outcomes Quality Initiative guidelines from the National Kidney Foundation classify stages of Chronic Kidney Disease according to the estimated glomerular filtration rate (GFR), which is considered the best index of function in both healthy and diseased kidneys [1]. GFR is a direct measurement of kidney function; it is reduced before the onset of kidney failure symptoms [2]. Healthy individuals who submitted to unilateral nephrectomy for donation or other causes experience an abrupt 5% reduction in total kidney mass; theoretically, their initial GFR could decrease by the same percentage. This fact is supported by the concept that GFR levels are the product of the single nephron filtration rate multiplied by the number of functioning nephrons in the remaining kidney. It is important to recognize that the GFR can be insensitive in detecting the number of lost nephron number because of compensatory increases in the single-nephron GFR secondary to increased glomerular capillary pressure or glomerular hypertrophy [3]. Experimental and clinical studies of solitary kidneys have detected such modifications in glomerular function after renalmassisreduced[4, 5]. Numerous formulas have been developed to estimate GFR or creatinine clearance from serum creatinine and other sources. One widely used formula for predicting creatinine clearance was proposed by Cockcroft and Gault Gault. More recently, the Modification of Diet in Renal Disease (MDRD) study formula, which uses four or six variable equations, has been used to evaluate GFR in clinical practice. However, there are concerns about whether the values obtained from the CG and MDRD formulas are comparable to the measured

2 International Nephrology Table 1: Characteristics of the studied population (n = 36). Male gender (n [%]) 11 (3.5) Black race (n [%]) 14 (38) Age (years; mean ± SD, range) 5.7 ± 1.6 (29 79) Time after nephrectomy (years; mean ± SD, range) 11.6 ± 9. (2 m 38 y) Body weight (kg; mean ± SD, range) 72.8 ± 16.4 (43 119) BSA (m 2 ;mean± SD, range) 1.74 ±.22 (1.27 2.24) Plasma creatinine (mg/dl; mean ± SD, range) 1.3 ±.67 (.8 4.1) Plasma creatinine >2mg%(n [%]) 3 (8.3%) Measured creatinine clearance: First day (ml min m 2 ) 79.8 ± 4.4 Second day (ml min m 2 ) 81.6 ± 4.4 BSA: Body surface area; first versus second day (P >.7). (ml min 1.73 m 2 ) 1 8 6 4 2 P<.5 ClCr m ClCr CG GFR MDRD ns Figure 1: A comparison of the measured (ClCr m )andestimated (ClCr CG ) creatinine clearances and glomerular filtration rate (GFR MDRD ) in patients with a single kidney. creatinine clearance values obtained traditionally from a 24-hour urine collection test, particularly in patients with only one kidney. The present study aimed to compare these formulas with measured GFRs in individuals with one kidney remaining after unilateral nephrectomy. 2. Patients and Methods In this cross-sectional study, thirty-six individuals who underwent unilateral nephrectomy were enrolled. The mean age was 5.7 ± 1.6 years. Overall, 11 subjects were male and 15 were female. Other clinical characteristics are presented in Table 1. The reasons for unilateral nephrectomy were organ donation (n = 28) and treatment of renal stones with hydronephrosis (n = 8). Three methods were used to measure and estimate glomerular filtration rates (GFR) and creatinine clearances (ClCr): creatinine clearance using 24-hour collected urine on two different days (ClCr m )and ClCr by the Cockcroft-Gault formula (ClCr CG )andbythe MDRD formula (GFR MDRD ). The value obtained for serum creatinine on day 1 was used to calculate the ClCr m,clcr CG, and GFR MDRD. The same was performed for day 2. Because all measurements and formulas were conducted in duplicate (on day 1 and day 2) for each individual, a total of 72 results were obtained for each clearance. The abbreviated GFR MDRD was calculated with the following formula: 175 plasma creatinine 1.154 age.23 (.742 if female; 1.21 if black) [6]. The ClCr CG was calculated with the following formula: (14 age) body weight/plasma creatinine 72 (.85 for females) [7]. The measured creatinine clearance was calculated with the traditional equation: U V/P; whereu is urine creatinine levels, V is the volume of urine by minute, and P is the plasma levels of creatinine [8]. The patients were orientated to rid themselves of the first urine on the first day of the test and then to collect in appropriate containers all the diuresis volume of the next 24 hours. The diuresis collected in the morning of the following morning was included in the total volume. This orientation was given by the doctor and referred to all the specimens. Values of expected creatinine excretion in the 24 h urine were considered to be from 2 to 25 mg/kg/24 hs (men), and from 15 to 2 mg/kg/24 hs (women). All measurements and estimation formulas were corrected for body surface area (ml min per 1.73 m 2 ). 2.1. Statistics. All values were evaluated for normality using D Agostinho and Pearson tests. If a Gaussian distribution was confirmed, ANOVA and Tukey post tests were applied. Linear regression was calculated between the variables. The slopes of each curve were compared for equality using the F-test. P <.5 was considered significant. Results were reported as mean ± standard error (X ± SD). 3. Results The participants clinical characteristics are shown in Table 1. The urinary excretion of creatinine in the samples did not indicate any inadequacy in the 24 h collection of urine. When the three clearances were compared, we obtained 81.1 ± 35.6mL min m 2 for ClCr m,7.4 ± 24.mL min m 2 for ClCr CG, and 71.2 ± 19.2mL min m 2 for GFR MDRD (Figure 1). We obtained significant differences for CrCl m versus CrCl CG (P<.1) and CrCl m versus GFR MDRD (P<.1), but the values for GFR MDRD and CrCl CG were similar (P =.56). The correlation between ClCr m and CLCr CG was positive and significant (r 2 =.62, P <.1; Figure 2). Additionally, the correlation between ClCr m and GFR MDRD was positive and significant (r 2 =.36; P<.1; Figure 3). WhentheslopeofCrCl CG (.4456 to.6375) was compared with the slope of GFR MDRD (.2247 to.435) in relation to ClCr m,different values were obtained (F = 9.21718; DFn = 1DFd = 14; P =.286; Figure 4). 4. Discussion The most commonly used formulas to calculate creatinine clearance and glomerular filtration rate are the Cockcroft- Gault and Modification of Diet in Renal Disease formulas,

International Nephrology 3 15 15 ClCrCG (ml min m 2 ) 1 5 5 1 15 r 2 =.657 P<.1 2 25 GFRMDRD (ml min m 2 ) 1 5 5 1 15 r 2 =.36 P<.1 2 25 Figure 2: The correlation between measured (ClCr m )andestimated (CLCr CG ) creatinine clearances in patients with a single kidney. Figure 3: The correlation between measured creatinine clearance (ClCr m )andtheestimatedgfr MDRD formula in patients with a single kidney. which tend to underestimate renal function by approximately 25% to 3% at its upper limit in normal individuals as well as patientswith CKD [9]. It is important to recognize that each of these simplified methods has its own limitations and only provides reliable estimates if all variables and techniques are performed exactly as stipulated. On the other hand, the creatinine clearance measured by 24-hour urine collection is associated with problems in determining glomerular filtration. Improper urine collection is one of the factors that can affect the final result; nonetheless, this method is commonly used in many clinical centers and hospitals to investigate renal function. The present study compared the ClCr m,clcl CG,andGFR MDRD for the same patient using the same serum creatinine values. This work is not aimed to establish the clearance measured by 24-hour urine collection as the gold standard because, as described above, this method has inherent errors. Rather, we aimed to determine which of the formulas produces results closest to those obtained via the traditional method (i.e., 24-hour urine collection) in patients with a single kidney. The results of this study showed that the estimated clearance values (ClCr CG and GFR MDRD )insingle-kidney patients were not different from each other, but both differed from the ClCr m (on the order of 5% for ClCr CG and 4% for GFR MDRD )(Figure 1). When the estimated values were correlated with CLCr m, we observed significant correlations between ClCr CG (Figure 2) andgfr MDRD (Figure 3). Using the determination coefficient (r 2 ) to quantify the correlation between the variables, we could conclude that the r 2 value for ClCr CG was larger than the r 2 value for GRF MDRD. Accordingly, for the same creatinine levels and the same patient, the ClCr CG was more strongly correlated with CLCr m than with GFR MDRD (.67 versus.34; P<.1) in singlekidney patients. In Figure 4, we can see that the clearance values estimated by the CG equation are nearer to the values of the ClCr m both in hyper- and in hypofiltration (slope.4 to.6; r 2 :.66; P <.1), and that the GFR MDRD distances itself (ml min 1.73 m 2 ) 15 1 5 5 1 15 Cl GG GFR MDRD Figure 4: The ClCr CG and GFR MDRD slopes in relation to measured creatinine clearance (CLCr m ). more from CICr m in any situation (slope.2 to.4; r 2 :.36; P =.1). Figure4 also manifests that there is a common point where the straight lines meet (filtration level 9 ml min m 2 ) evidencing that from this point on there are distinct modifications in the estimated values in relation to the measured clearance values. Both the ClCr CG and the GFR MDRD,iftheyareover9mL min m 2, they underestimate the values in relation to the CICr m,andif they are under that, they overestimate them in relation to the values of the CICr m. It was possible to conclude that CICr CG is the estimate formula that most closely matches the CICr m. It should be noted that our data included a large range of values for age, BSA, and time after nephrectomy (Table 1). The correlations demonstrated by our data may not be the same for specific subgroups of single-kidney patients, including the obese or very young or elderly people. More studies with large sample should be completed to permit more precise conclusions. 2

4 International Nephrology References [1] A. S. Levey, Measurement of renal function in chronic renal disease, Kidney International, vol.38, no. 1, pp. 167 184, 199. [2]G.Manjunath,M.J.Sarnak,andA.S.Levey, Estimatingthe glomerular filtration rate. Dos and don ts for assessing kidney function, Postgraduate Medicine, vol. 11, no. 6, pp. 55 62, 21. [3]B.M.Brenner,E.V.Lawler,andH.S.Mackenzie, Thehyperfiltration theory: a paradigm shift in nephrology, Kidney International, vol. 49, no. 6, pp. 1774 1777, 1996. [4] B. M. Brenner, Nephron adaptation to renal injury or ablation, The American Physiology, vol. 249, no. 3 Pt 2, pp. F324 337, 1985. [5] T. Shimamura and A. B. Morrison, A progressive glomerulosclerosis occurring in partial five sixths nephrectomized rats, American Pathology, vol. 79, no. 1, pp. 95 14, 1975. [6] A. S. Levey, J. Coresh, T. Greene et al., Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate, Annals of Internal Medicine, vol. 145, no. 4, pp. 247 254, 26. [7] D. W. Cockcroft and M. H. Gault, Prediction of creatinine clearance from serum creatinine, Nephron, vol. 16, no. 1, pp. 31 41, 1976. [8] S. Lavender, P. J. Hilton, and N. F. Jones, The measurement of glomerular filtration-rate in renal disease, Lancet,vol.2,no. 7632, pp. 1216 1218, 1969. [9] J. C. Verhave, P. Fesler, J. Ribstein, G. Du Cailar, and A. Mimran, Estimation of renal function in subjects with normal serum creatinine levels: influence of age and body mass index, American Kidney Diseases, vol. 46, no. 2, pp. 233 241, 25.

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