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1 LIVER TRANSPLANTATION 16: , 2010 ORIGINAL ARTICLE Inaccuracies of Creatinine and Creatinine- Based Equations in Candidates for Liver Transplantation with Low Creatinine: Impact on the Model for End-Stage Liver Disease Score Claire Francoz, 1 Dominique Prié, 4 Wael AbdelRazek, 1 Richard Moreau, 1,2 Ameet Mandot, 1 Jacques Belghiti, 3 Dominique Valla, 1,2 and François Durand 1,2 1 Hepatology and Liver Intensive Care Unit, 2 Institut National de la Santé et de la Recherche Médicale, U773, Centre de Recherche Biomédicale Bichat Beaujon CRB3; and 3 Hepatobiliary Surgery and Liver Transplantation, Hôpital Beaujon, Clichy, France; and 4 Explorations Fonctionnelles, Hôpital Necker, Paris, France Renal function has a significant impact on early mortality in patients with cirrhosis. However, creatinine and creatinine-based equations are inaccurate markers of renal function in cirrhosis. The aim of this study was to reassess correlations between creatinine-based equations and measured glomerular filtration rate (GFR) and to investigate the impact of inaccuracies on the Model for End-Stage Liver Disease (MELD) score. GFR was measured using iohexol clearance and calculated with creatinine-based equations in 157 patients with cirrhosis during pretransplant evaluation. We compared the accuracy of creatinine to that of true GFR in a prognostic score also including bilirubin and the international normalized ratio. In patients with creatinine below 1 mg/dl, true GFR ranged from ml/minute/1.73 m 2. Cockcroft and Modification of Diet in Renal Disease (MDRD) significantly overestimated true GFR. On multivariate analysis, younger age and ascites were significantly correlated with the overestimation of true GFR by 20% or more. Body mass index was an independent risk factor of overestimation of GFR with Cockcroft but not with MDRD. The accuracy of a prognostic score combining bilirubin, international normalized ratio, and true GFR was superior to that of MELD, whether creatinine was rounded to 1 mg/dl when lower than 1 mg/dl or not (c-statistic of 0.8 versus 0.75 and 0.73, respectively). Creatinine-based formulas overestimate true GFR, especially in patients younger than 50 years or with ascites. In patients with serum creatinine below 1 mg/dl, the spectrum of true GFR is large. True GFR seems to have a better prognostic value than creatinine and creatinine-based equations. Specific equations are needed in patients with cirrhosis to improve prognostic scores. Liver Transpl 16: , VC 2010 AASLD. Received March 29, 2010; accepted June 14, Impaired renal function is a relatively common finding in candidates for transplantation with decompensated cirrhosis, especially those with major impairment in liver function and/or large volume ascites. 1 4 A number of mechanisms may be involved, including renal vasoconstriction (leading to hepatorenal syndrome at the most advanced stages) and superimposed intrinsic lesions. 5 7 An important finding is that serum creatinine is an independent predictor for early mortality in patients with cirrhosis. 8 Pretransplant serum creatinine is also a predictor of posttransplant mortality and posttransplant renal function. 9,10 Serum creatinine has been included into the widely used Model for End-Stage Liver Disease (MELD) score, along with Abbreviations: BMI, body mass index; CKD-EPI, chronic kidney disease epidemiology; GFR, glomerular filtration rate; HBV, hepatitis B virus; HCC, hepatocellular carcinoma; HCV, hepatitis C virus; INR, international normalized ratio; IQR, interquartile range; MDRD, Modification of Diet in Renal Disease; MELD, Model for End-Stage Liver Disease; ROC, receiver operating characteristic. Address reprint requests to François Durand, M.D., Service d Hépatologie, Hôpital Beaujon, 100 Boulevard du Général Leclerc, 92110, Clichy, France. Telephone: þ ; FAX: þ ; francois.durand@bjn.aphp.fr DOI /lt View this article online at wileyonlinelibrary.com. LIVER TRANSPLANTATION.DOI /lt. Published on behalf of the American Association for the Study of Liver Diseases VC 2010 American Association for the Study of Liver Diseases.

2 1170 FRANCOZ ET AL. LIVER TRANSPLANTATION, October 2010 bilirubin and the international normalized ratio (INR). 11,12 Although serum creatinine is not an index of liver function, it weights heavily on the MELD score. As an example, in a patient with a bilirubin level of 50 lmol/l and an INR of 1.1, a 30 lmol/l (0.3 mg/dl) increase in serum creatinine results in a 22% increase in the MELD score. It has been argued recently that serum creatinine may be too heavily weighted in the existing MELD formula. 12 In addition, the bounding of creatinine to 1 mg/dl for values less than 1 mg/dl in order to avoid negative values after logarithmic transformation is questionable. 11 Indeed, the hypothesis can be raised that a sizable proportion of patients with cirrhosis with creatinine below 1 mg/dl have a significant impairment in renal function and that mortality is not constant for creatinine below 1 mg/dl. An updated MELD score including log e (1 þ creatinine [mg/dl]) instead of log e (creatinine [mg/dl]), without bounding creatinine to 1 mg/dl, has been proposed to overcome this limitation. 12 In a large population, this re-weighted score proved more accurate than the existing MELD score. 12 However, the improvement was relatively modest. More data is needed on true renal function in patients with cirrhosis with low serum creatinine level. It can be reasonably assumed that the glomerular filtration rate (GFR) might be a more accurate marker of mortality than creatinine. Creatinine-based formulas are widely used to estimate GFR in the general population. 13,14 However, both the Cockcroft and the Modification of Diet in Renal Disease (MDRD) formulas may be inaccurate in patients with cirrhosis Indeed, protein-calorie malnutrition is common in cirrhosis, which contributes to a reduction in creatinine production and creatinine level. A decrease in creatinine production might result in overly high estimates of GFR using the Cockcroft and MDRD formulas. In practice, disagreement still exists as to whether creatinine-based methods overestimate 16,17,22,23 or underestimate 15 true GFR in patients with cirrhosis. Furthermore, the factors associated with inaccuracies in the estimation of renal function have not been clearly documented in patients with cirrhosis. The potential impact of these inaccuracies on the MELD score must also be determined. The aims of this study were to reassess creatininebased estimates of renal function in candidates for transplantation with cirrhosis, focusing on those with a serum creatinine value of less than 1 mg/dl and to determine the impact of inaccuracies in the estimation of renal function on the MELD score. PATIENTS AND METHODS From January 2004 to December 2007, 157 consecutive patients with cirrhosis who were evaluated for a first liver transplantation in a single institution were included in the study. These patients comprised 116 males (74%) and 41 females (26%). The mean age was years (range: years). The main cause of cirrhosis was alcohol in 74 (47%), hepatitis B virus TABLE 1. Baseline Characteristics of the Patients in the Study Population Patients 157 Age (years) (20-69) Sex (M/F,%) 74/26 BMI* (kg/m 2 ) ( ) Serum creatinine (lmol/l) (35-305) Hepatocellular carcinoma (%) 36 Bilirubin (lmol/l) (7-291) Serum albumin (g/l) (14-46) Prothrombin index (% of normal) (26-112) International normalized ratio ( ) History of ascites (%) 61 Refractory ascites (%) 23 Encephalopathy (%) 28 Platelet count (10 9 /L) Child-Pugh grade (A/B/C; %) 31/36/33 MELD score (6-26) MELD-Na score (6-27) Updated MELD score* 66 1 (4-9) *According to Sharma et al. 12 (HBV) infection in 16 (10%), hepatitis C virus (HCV) infection in 44 (28%), primary biliary cirrhosis in 2, primary sclerosing cholangitis in 5, autoimmune hepatitis in 5, genetic hemochromatosis in 3, and unknown in 8. In addition to cirrhosis, 57 of these patients (36%) had hepatocellular carcinoma (HCC). All patients with HCC met the Milan criteria, namely, a single nodule less than 5 cm or 2 or 3 nodules each less than 3 cm. 24 The characteristics of the patients at evaluation are shown in Table 1. At the time of evaluation for transplantation, in addition to standard workup, all patients underwent direct measurement of GFR using plasma clearance of iohexol, an exogenous marker, as previously described. 25 All patients received a 5 ml intravenous dose of iohexol. Each patient then simultaneously ingested 150 ml of tap water within 30 minutes. Blood samples were taken at 0, 60, 120, 180, 240, and 300 minutes after injection. Examples of decrease in plasma iohexol concentrations are shown in Fig. 1. Clearance of iohexol was calculated by the following formula: Clearance ¼ Dose/AUC, where AUC is the area under the plasma concentration curve. At evaluation, demographic, biochemical, and anthropometric variables required for the calculation of GFR according to Cockcroft and MDRD equations were systematically collected. The Cockcroft estimation was calculated according to the following equation: GFR (ml/minute) ¼ (140 age [years] body weight [kg])/ (serum creatinine [lmol/l] k), with k ¼ 1.04 if female and k ¼ 1.23 if male. 13 GFR was normalized in ml/minute/1.73 m 2 by using the Dubois formula for the calculation of body surface area. The simplified MDRD equation using 4 variables was calculated as follows: GFR (ml/minute/1.73 m 2 ) ¼ 186 (serum creatinine [mg/dl]) (age [year]) (0.762 if patient is female) (1.21 if patient is black). 26 We also computed

3 LIVER TRANSPLANTATION, Vol. 16, No. 10, 2010 FRANCOZ ET AL Figure 1. Examples of kinetics of serum iohexol concentration after a single 5 ml intravenous administration in patients with cirrhosis. Clearance was calculated according to the following formula: Clearance ¼ Dose/AUC, where AUC is the area under the plasma concentration curve. the CKD-EPI (chronic kidney disease epidemiology) creatinine-based equation, which was recently proposed as an alternative to the Cockcroft and MDRD equations (Table 2). 27 The MELD score was calculated according to the following equation: 9.6 log e (serum creatinine [mg/dl]) þ 3.8 log e (serum bilirubin [mg/dl]) þ 11.2 log e (INR) þ In patients with serum creatinine below 1 mg/dl, values were rounded off to 1 mg/dl. The MELD-Na score was calculated according to the following equation: MELD-Na (0.025 MELD [140 Na]) þ 140, where serum sodium concentration was bound between 125 and 140 mmol/l. 28 The updated MELD score was calculated according to the following equation: log e (1 þ serum creatinine [mg/dl]) þ log e (1 þ serum bilirubin [mg/dl]) þ log e (1 þ INR). 12 During the study, 110 of 157 patients (70%) underwent transplantation months on average after listing. Fifteen patients (10%) died on the waiting list, months on average after listing. Twenty-seven patients (17%) were removed from the waiting list due to improvement (n ¼ 12), progression of HCC (n ¼ 9), or for other reasons (n ¼ 6). For the analysis of outcome, the patients who were removed from the waiting list due to tumor progression were censored at the time of dropout from the waiting list. Therefore, patients who died due to tumor progression were not included in the group of patients who died on the waiting list due to end-stage liver insufficiency. Patients who were removed for other reasons were also censored. Finally, 5 patients (3%) were still awaiting a liver allograft at the end of this study. Up to March 2007, allocation of allograft to recipients was essentially based on waiting time. From March 2007, the MELD score based allocation policy was implemented. The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the local ethics committee. Results for continuous variables are expressed as means 6 standard deviation. Student t test, chisquared test, Fisher s exact test, Mann-Whitney test, logistic regression analysis, and Cox regression analysis were used where appropriate. GFR estimates according to the Cockcroft and MDRD equations were compared to plasma iohexol clearance by using a paired-samples t test. Pearson s correlation analysis was used for correlation between measured GFR with plasma iohexol clearance and calculated GFR according to the Cockcroft and MDRD formulas. Cox regression analysis was used to compare the prognostic value of a score including log e serum creatinine (mg/dl) along with log e serum bilirubin (mg/dl) and log e INR (the same variables as those of the MELD score) to that of a score including log e true GFR (ml/minute/1.73 m 2 ) along with log e serum bilirubin (mg/dl) and log e INR. The resulting scores were compared using receiver operating characteristic (ROC) curve analysis and the TABLE 2. The CKD-EPI Equation for Estimating GFR Race and Sex Creatinine, lmol/l (mg/dl) Equation Black Female 62 ( 0.7) GFR¼ 166 (creatinine [mg/dl]/0.7) (0.993) Age > 62 (> 0.7) GFR¼ 166 (creatinine [mg/dl]/0.7) (0.993) Age Male 80 ( 0.9) GFR¼ 163 (creatinine [mg/dl]/0.9) (0.993) Age > 80 (> 0.9) GFR¼ 163 (creatinine [mg/dl]/0.9) (0.993) Age White or other Female 62 ( 0.7) GFR¼ 144 (creatinine [mg/dl]/0.7) (0.993) Age > 62 (> 0.7) GFR¼ 144 (creatinine [mg/dl]/0.7) (0.993) Age Male 80 ( 0.9) GFR¼ 141 (creatinine [mg/dl]/0.7) (0.993) Age > 80 (> 0.9) GFR¼ 141 (creatinine [mg/dl]/0.7) (0.993) Age GFR is expressed as milliliter/minute/1.73m 2 Adapted from Levey et al. 27

4 1172 FRANCOZ ET AL. LIVER TRANSPLANTATION, October 2010 derived c-statistic. For all tests, P < 0.05 was considered statistically significant. Analysis was performed using SPSS (Chicago, IL) and SAS (Cary, NC) software. Figure 2. Performance of (A) Cockcroft formula, (B) MDRD 4 formula, and (C) CKD-EPI formula as an estimate of GFR compared to direct measurement of glomerular filtration rate using iohexol clearance according to Bland-Altman plot method (Broken lines represent 95% limits of agreement, where upper limit of agreement is þ1.96 standard deviation and lower limit of agreement is 1.96 standard deviation from mean difference (solid line). RESULTS Comparison Between Direct Measurement of GFR Using Plasma Iohexol Clearance and Creatinine-Based Estimates of Renal Function In the study population, the mean value of GFR measured by plasma iohexol clearance was ml/ minute/1.73 m 2 (median: 87, range: , interquartile range [IQR]: 38). Mean serum creatinine was lmol/l (median: 73, range: , IQR: 30). Mean values of GFR estimated by Cockcroft and MDRD equations were ml/minute/1.73 m 2 (median: 97, range: , IQR: 43) and ml/minute/1.73 m 2 (median: 99, range: , IQR: 42), respectively. Mean values of GFR estimated by CKD-EPI was ml/minute/1.73 m 2 (median: 98, range: , IQR: 30). There was a statistically significant although relatively weak correlation between serum creatinine and measured GFR with an R 2 value of 0.6 (P < 0.001). The correlations between estimated GFR according to Cockcroft and MDRD equations on the one hand and true GFR on the other hand were also relatively weak (R 2 values of 0.5 and 0.6, respectively) but statistically significant (P < for both). The correlation between estimated GFR according to the CKD-EPI equation and true GFR (R 2 of 0.48) was weaker than that of Cockcroft and MDRD with true GFR, although it was statistically significant (P < ). Overall, both Cockcroft and MDRD formulas tended to overestimate measured GFR (Fig. 2A,B). The mean difference between estimated GFR according to Cockcroft formula and measured GFR using iohexol clearance was ml/minute/1.73 m 2 (P < 0.001). The mean difference between estimated GFR according to the MDRD formula and measured GFR was ml/minute/1.73 m 2 (P < 0.001). CKD-EPI also tended to overestimate true GFR with a mean difference of ml/minute/1.73 m 2 (P < 0.001) (Fig. 2C). The average difference between true GFR and CKD-EPI was numerically lower compared to Cockcroft and MDRD formulas. However, in patients with true GFR lower or equal to 70 ml/minute/1.73 m 2, the difference between CKD-EPI and true GFR was ml/minute/1.73 m 2 (P < ). On univariate analysis using the Cox regression model, true GFR was an independent factor of waiting list mortality (P ¼ 0.001; hazard ratio ¼ 0.97; 95% confidence interval ¼ ). On multivariate analysis, when true GFR, log e bilirubin (mg/dl), and log e INR were entered in the model, true GFR and log e INR (P ¼ and 0.003, respectively) but not log e bilirubin were independent predictors of waiting list mortality. Similarly, patients with true GFR lower or equal to 60 ml/minute/ 1.73 m 2 (n ¼ 33) were at higher risk of death on the waiting list compared to patients with true GFR greater than 60 ml/minute/1.73 m 2 (n ¼ 124; P ¼ 0.02).

5 LIVER TRANSPLANTATION, Vol. 16, No. 10, 2010 FRANCOZ ET AL TABLE 3. Factors Associated with an Overestimation of GFR by 20% or More with Cockcroft Formula on Univariate Analysis Overestimation of Measured GFR by 20% or More with Cockcroft Formula Characteristic yes n ¼ 68 (43%) No n ¼ 89 (57%) P Value Age (years) Sex (M/F) 51/17 65/24 ns Body mass index (kg/m 2 ) Body surface area (m 2 ) HCV/HBV-related cirrhosis 23/68 (34%) 37/89 (42%) ns Alcoholic cirrhosis 36/68 (53%) 37/89 (42%) ns HCC 11/68 (16%) 46/89 (52%) < Child-Pugh grade (A/B/C) 9/26/33 39/31/19 < MELD score MELD-Na score INR Bilirubin (lmol/l) Albumin (g/l) Creatinine (lmol/l) ns Platelets count (10 9 /L) Serum sodium ns Episodes of ascites 56/68 (82%) 39/89 (44%) < Refractory ascites 20/68 (29%) 16/89 (18%) ns Episodes of encephalopathy 29/68 (43%) 15/89 (17%) Factors Associated with the Overestimation of Calculated GFR with Cockcroft Formula Compared to True GFR Cockcroft formula overestimated true GFR by 30% or more in 59 patients (37.6%) and by 20% or more in 68 patients (43.3%). Table 3 shows that on univariate analysis, age, body mass index (BMI), body surface area, HCC, Child-Pugh grade, MELD score, MELD-Na, INR, bilirubin, albumin, platelet count, ascites (past or present), and encephalopathy (past or present) were significantly correlated with the overestimation of GFR by 20% or more using the Cockcroft formula. Serum sodium was not significantly related with the risk of misclassification. On multivariate analysis, only age (P ¼ ), BMI (P ¼ ), and ascites (P < ) were significantly and independently related to an overestimation of true GFR by 20% or more. The rate of overestimation was 63% for patients below 50 years old, 39% for patients between 50 and 60 years old and 25% for patients older than 60 years old. Similarly, the rate of overestimation was 3% for patients with a BMI lower than 20 (n ¼ 13) compared to 34% for those with a BMI between 20 and 25 (n ¼ 59), 31% for those with a BMI between 25 and 29 (n ¼ 45) and 32% for those with a BMI over 29 (n ¼ 50). Factors Associated with the Overestimation of Calculated GFR with MDRD Formula Compared to True GFR The MDRD formula overestimated true GFR by 30% or more in 58 patients (36.9%) and by 20% or more in 72 patients (45.8%). Table 4 shows that on univariate analysis, age, HCC, Child-Pugh grade, MELD, INR, bilirubin, albumin, creatinine, ascites (past or present), refractory ascites, and encephalopathy (past or present) were significantly correlated with the overestimation of GFR by 20% or more using the MDRD formula. Neither serum sodium nor MELD-Na was significantly related to overestimation. In contrast to the Cockcroft formula, neither BMI nor body surface area were significantly correlated to overestimation by the MDRD formula. On multivariate analysis, only age (P ¼ 0.003) and ascites (P < ) were significantly and independently correlated with the overestimation of true GFR by 20% or more using the MDRD formula. The rate of misclassification was 63% below 50 years old, 40% between 50 and 60 years old, and 34% for those more than 60 years old. Impact on the Accuracy of the MELD and MELD-Na Scores In this population, the c-statistic derived from the ROC curve analysis for predicting waiting list mortality was 0.75, 0.72 and 0.73 for MELD, MELD-Na and "updated MELD" scores, 12 respectively. For the calculation of the MELD score (as well as the MELD-Na), a serum creatinine value below 1 mg/dl (88 lmol/l) is rounded off to 1 mg/dl. 11 In the study population, 116 patients (74%) had a serum creatinine value lower than or equal to 1 mg/dl. In this group of patients, mean indexed GFR was ml/minute/1.73 m 2 with a range ml/minute/1.73 m 2. Sixteen of these 116 patients (14%) had true GFR below 70 ml/minute/1.73 m 2. The distribution of

6 1174 FRANCOZ ET AL. LIVER TRANSPLANTATION, October 2010 TABLE 4. Factors Associated with an Overestimation of GFR by 20% or More with MDRD Formula on Univariate Analysis Overestimation of Measured GFR by 20% or More with MDRD Formula Characteristic Yes n ¼ 72 (46%) No n ¼ 85 (54%) P Value Age (years) Sex (M/F) 54/18 62/23 ns Body mass index (kg/m 2 ) ns Body surface area (m 2 ) ns HCV/HBV-related cirrhosis 25/72 (35%) 35/85 (41%) ns Alcoholic cirrhosis 36/72 (50%) 37/85 (43%) ns HCC 16/72 (22%) 41/85 (48%) Child Pugh grade (A/B/C) 13/29/30 35/28/ MELD score MELD-Na score ns INR Bilirubin (lmol/l) Albumin (g/l) Creatinine (lmol/l) Platelets count (10 9 /L) ns Serum sodium ns Episode of ascites 56/72 (78%) 39/85 (46%) < Refractory ascites 22/72 (31%) 14/85 (16%) 0.03 Episodes of encephalopathy 26/72 (36%) 18/85 (21%) 0.03 GFR in patients with serum creatinine lower than, or equal to 1 mg/dl is shown in Fig. 3. Table 5 shows some examples from the study cohort illustrating the discrepancies between serum creatinine and true GFR and showing that patients with low serum creatinine and low GFR may be disadvantaged by the MELD score. Among the 116 patients with serum creatinine below or equal to 1 mg/dl (5 88 lmol/l), refractory ascites was significantly more frequent in those with true GFR below 70 ml/minute/1.73 m 2 (44%) compared to those with true GFR over 70 ml/minute/ 1.73 m 2 (10%, P ¼ ). In contrast, serum sodium was not significantly different between groups ( mmol/l compared to mmol/l, respectively). In order to compare the prognostic value of serum creatinine (according to the MELD score equation) to that of true GFR, we created two distinct prognostic models based on Cox regression analysis in the study population. In the first model (Score 1) we entered the same variables as those of the MELD score; namely, log e bilirubin (mg/dl), log e INR and log e creatinine (mg/dl), where creatinine was bounded to 1 when below 1 mg/dl and capped to 4 mg/dl. In the second model (Score 2), we entered log e bilirubin (mg/dl), log e INR and log e GFR (ml/minute/1.73 m 2 ) (instead of log e creatinine [mg/dl]). Each variable entered in the score was weighted by the regression coefficients obtained by the Cox regression analysis. The equation for Score 1 was as follows: (0.43 log e bilirubin [mg/ dl]) þ (2.01 log e INR) þ (1.51 log e creatinine [mg/ dl]). The equation for Score 2 was as follows: (0.5 log e bilirubin [mg/dl]) þ (2.23 log e INR) (1.67 log e GFR [ml/minute/1.73 m 2 ]). A comparison between Score 1 and Score 2 was used instead of a comparison between the MELD score and Score 2 because this latter score was directly derived from our study population. Indeed, the superiority of Score 2 over the MELD score could have resulted from overfitting rather than from a difference in the prognostic value of creatinine compared to that of true GFR. However, as shown in Table 6, the accuracy of the MELD score was similar to that of Score 1 (0.75 for both). Both Score 1 and Score 2 were significantly correlated to waiting list mortality. The P values Figure 3. Distribution of indexed GFR among the 116 patients with a serum creatinine value below 1 mg/dl (88 lmol/l).

7 LIVER TRANSPLANTATION, Vol. 16, No. 10, 2010 FRANCOZ ET AL TABLE 5. Examples from the Study Population Illustrating the Disadvantage of Patients with Low Creatinine and Low GFR Compared to Patients with High Creatinine and Similarly Low GFR Creatinine Creatinine Bounded for True GFR Bilirubin MELD Patients (mg/dl) the MELD score (mg/dl) (ml/minute/1.73 m 2 ) (mg/dl) INR Score Patient Patient Patient Patient Patients 1 and 2 have a comparable MELD score, comparable values of bilirubin and INR and are given the same creatinine value while in patient 2, true GFR is 167% higher compared to Patient 1. Patient 3 has a higher MELD score than Patient 1 with comparable values of bilirubin and INR while, in Patient 3, true GFR is 158% higher than in Patient 1. Eventually, the MELD score is markedly higher in Patient 4 than in Patient 1 while these two patients have comparable true GFR because serum creatinine better reflects true GFR in Patient 4 than in Patient 1. corresponding to the Hosner-Lemshow goodness of concordance fit test were of 0.22 and 0.96 for Score 1 and Score 2, respectively, both markedly over However, as shown in Fig. 4, Score 2 (log e GFR-based score) was superior to Score 1 (log e creatinine-based score) for predicting outcome, with a c statistic of 0.8 compared to The updated MELD score based on log e (1 þ creatinine [mg/dl]) was not superior to the MELD score (Table 6). The size of the study population was not powered for identifying statistically significant differences. DISCUSSION The results of this study strongly suggest that true GFR has a better prognostic value than serum creatinine and creatinine-based formulas in patients with cirrhosis. These findings are in line with preliminary results showing that the MELD score was improved when log e creatinine (mg/dl) was changed for log e GFR (ml/minute/1.73 m 2 ). 29 Unfortunately, direct measurement of GFR using exogenous agents such as iohexol or inulin is costly and time consuming. The MELD score which includes simple and readily available variables can be easily updated according to the patient s status. Although it can be reasonably proposed that direct measurement of GFR is performed systematically during pretransplant workup in order to assess more precisely baseline renal function, true GFR is impractical for routine use if a score must be updated. Therefore, more accurate indirect assessment is still needed. It has been pointed out that bounding serum creatinine to 1 mg/dl in patients with creatinine below 1 mg/dl may represent a significant limitation of the existing MELD score. 11,12 In keeping with other studies, 16,17,22,23 we found that a substantial proportion of patients with cirrhosis with serum creatinine within the normal range had impaired renal function. An "updated" MELD score including log e (1 þ creatinine [mg/dl]), without bounding values below 1 mg/dl to 1 mg/dl, instead of log e creatinine [mg/dl] has been proposed to overcome this limitation. 12 However, the improvement in the accuracy of the updated score was relatively limited, with an index of concordance for predicting 90-day waiting list mortality of 0.73 compared to 0.75 for the existing MELD score. The results of our study (Fig. 2) show that the range of true GFR in patients with serum creatinine below 1 mg/dl is quite broad. Therefore, even when variations in serum creatinine below 1 mg/dl are taken into account, a number of patients with impaired renal function and who are possibly at higher risk of early mortality are underscored. Again, creatinine alone is an inaccurate marker of renal function in cirrhosis, which could explain that the updated MELD score still has limitations. The results of this study confirm that, in patients with cirrhosis, Cockcroft and MDRD equations overestimate true GFR (by and ml/minute/1.73 m 2, respectively). The recently proposed CKD-EPI equation 27 also overestimates true GFR, especially in those with impaired renal function. Several reasons may explain that creatinine-based TABLE 6. Accuracy of Different Prognostic Scores, Based on ROC Curve Analysis and c Statistic, for Predicting Early Mortality in the Study Population Score c-statistic The MELD score 0.75 The MELD-Na score 0.72 The updated MELD* 0.73 Score 1 based upon log e 0.75 creatinine (mg/dl) in the study population** Score 2 based upon true 0.80 GFR (ml/min/1.73m 2 ) in the study population *According to Sharma P. et al. Gastroenterology 2008; 135: **Score 1 included the same variables as MELD score (log e creatinine [mg/dl], log e bilirubin [mg/dl] and log e INR), where each variable was weighted according to Cox regression analysis in the study population. Score 2 included log e true GFR [ml/min1.73m 2 ], log e bilirubin [mg/dl] and log e INR, where each variable was weighted according to Cox regression analysis in the study population.

8 1176 FRANCOZ ET AL. LIVER TRANSPLANTATION, October 2010 Figure 4. Comparison of a score based on the same variables to that of the MELD score (log e bilirubin [mg/dl], log e INR, and log e creatinine [mg/dl]) to a score based on log e bilirubin [mg/dl], log e INR, and log e GFR [ml/minute/1.73 m2] for predicting waiting list mortality. The c-statistic corresponding to the GFRbased score (upper curve; 0.8) was superior to that of the creatinine-based score (lower curve; 0.75). equations tend to overestimate true GFR in patients with cirrhosis. First, creatinine is synthesized by the liver before being stored by skeletal muscle and eliminated after conversion to creatinine. 16 Patients with impaired liver function have a lower production of creatinine. Second, muscle waste which is common during cirrhosis may also contribute to a decreased production of creatinine. 30,31 Third, patients with cirrhosis have an increased rate of tubular excretion of creatinine. 17,32 Considered together, these factors contribute to misleading values of serum creatinine level and/or an increase in the ratio between creatinine secreted by the tubule and creatinine filtered by the glomerulus. In turn, these changes in creatinine levels result in inaccuracies in creatinine-based equations. It has been suggested that creatinine-based equations may underestimate true GFR in patients with cirrhosis with relatively preserved liver function whereas, in patients with more advanced liver disease, GFR may be overestimated. 15 A similar trend was observed in our population; for patients with a high MELD score, true GFR was more often overestimated by both the Cockcroft and MDRD formulas compared to patients with low MELD score (Tables 3 and 4). However, it must be noted that in this population which included candidates for transplantation with HCC, the mean "physiological" MELD score was relatively low (14 6 4). Therefore, overestimation of GFR by creatinine-based equations was possible at an early stage in the course of cirrhosis. In this population, we found that not all patients with cirrhosis had the same level of discordance between estimated GFR and true GFR. Patients with a high MELD score were more likely to have an overestimation of true GFR when the Cockcroft and MDRD equations were used. However, with multivariate analysis, the MELD score had no significant impact on the level of discordance. Ascites and younger age were independently and significantly associated with a higher rate of overestimation of true GFR by creatinine-based equations. Interestingly, overestimation was more pronounced for patients less than 50 years old. Both the Cockcroft and MDRD equations take into account the age of the patient. 13,26 However, the results of this study suggest that, for a given value of serum creatinine, the impact of age on true renal function is markedly different in patients with cirrhosis compared to the general population and/or patients with chronic kidney diseases. The weight given to age by Cockcroft and MDRD formulas is clearly inappropriate for patients with cirrhosis, and it should be reassessed for this population. Independent of ascites, BMI had a significant impact on the rate of overestimation by the Cockcroft equation. The rate of overestimation was markedly different in patients with a BMI below or over 20, patients with a BMI over 20 being at higher risk of overestimation compared to true GFR. In contrast to MDRD, the Cockcroft equation takes into account body weight. This difference could explain why BMI had a significant influence on the risk of overestimation of GFR with the Cockcroft equation but not with the MDRD equation. These findings suggest that the influence of weight and/or BMI on creatinine and creatinine-based equations is markedly different in patients with cirrhosis compared to the general population, probably due, at least in part, to ascites and edemas. Overall, creatinine-based equations should be interpreted with caution in patients with cirrhosis below 50 years old and/or with ascites. Independent of ascites, the MDRD formula should be used in preference to the Cockcroft formula for patients with a BMI of over 20. In this population, there was no significant interaction between serum sodium and the accuracy of the Cockcroft and MDRD equations. In conclusion, the results of this study strongly suggest that a score including GFR instead of serum creatinine would be more accurate at predicting early mortality in patients with cirrhosis, even if serum creatinine is not rounded off to 1 mg/dl when below 1 mg/dl. Indeed, patients with cirrhosis with normal serum creatinine may have a markedly impaired renal function. Direct measurement of GFR using exogenous agents is inappropriate for routine use as it is costly and complex. Unfortunately, creatinine-based equations are inaccurate in patients with cirrhosis and tend to result in overestimation compared to true GFR. The use of the existing equations instead of serum creatinine may not improve prognostic scores. Efforts should be made to create and validate specific equations for assessing renal function in patients with cirrhosis. Based on the results of this study, it can be anticipated that more specific equations, either based on creatinine or other markers such as cystatin C, should take into account factors which significantly correlated with overestimation of true GFR, including age below 50 years old, ascites, and BMI. The results of the Cockcroft and MDRD equations should be interpreted with caution in patients with cirrhosis below 50 years old, with ascites and/or or with a BMI over 20.

9 LIVER TRANSPLANTATION, Vol. 16, No. 10, 2010 FRANCOZ ET AL ACKNOWLEDGMENTS The authors are indebted to Dr. Hélène Voitot and Dr. Marie Christine Guimont, Department of Biochemistry and Molecular Genetics, Hôpital Beaujon, Clichy, France, for their advice. The authors are also indebted to Claire Worledge for her helpful assistance in the preparation of the manuscript. REFERENCES 1. Fernandez-Esparrach G, Sanchez-Fueyo A, Gines P, Uriz J, Quinto L, Ventura PJ, et al. A prognostic model for predicting survival in cirrhosis with ascites. J Hepatol 2001;34: Gines A, Escorsell A, Gines P, Salo J, Jimenez W, Inglada L, et al. Incidence, predictive factors, and prognosis of the hepatorenal syndrome in cirrhosis with ascites. Gastroenterology 1993;105: Llach J, Gines P, Arroyo V, Rimola A, Tito L, Badalamenti S, et al. Prognostic value of arterial pressure, endogenous vasoactive systems, and renal function in cirrhotic patients admitted to the hospital for the treatment of ascites. 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Hepatology 2000;31: Ojo AO, Held PJ, Port FK, Wolfe RA, Leichtman AB, Young EW, et al. Chronic renal failure after transplantation of a nonrenal organ. N Engl J Med 2003;349: Nair S, Verma S, Thuluvath PJ. Pretransplant renal function predicts survival in patients undergoing orthotopic liver transplantation. Hepatology 2002;35: Wiesner R, Edwards E, Freeman R, Harper A, Kim R, Kamath P, et al. Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology 2003;124: Sharma P, Schaubel DE, Sima CS, Merion RM, Lok AS. Re-weighting the model for end-stage liver disease score components. Gastroenterology 2008;135: Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron 1976;16: 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: Gonwa TA, Jennings L, Mai ML, Stark PC, Levey AS, Klintmalm GB. Estimation of glomerular filtration rates before and after orthotopic liver transplantation: evaluation of current equations. Liver Transpl 2004;10: Sherman DS, Fish DN, Teitelbaum I. Assessing renal function in cirrhotic patients: problems and pitfalls. Am J Kidney Dis 2003;41: Caregaro L, Menon F, Angeli P, Amodio P, Merkel C, Bortoluzzi A, et al. Limitations of serum creatinine level and creatinine clearance as filtration markers in cirrhosis. Arch Intern Med 1994;154: MacAulay J, Thompson K, Kiberd BA, Barnes DC, Peltekian KM. Serum creatinine in patients with advanced liver disease is of limited value for identification of moderate renal dysfunction: are the equations for estimating renal function better? Can J Gastroenterol 2006;20: Pirlich M, Schutz T, Spachos T, Ertl S, Weiss ML, Lochs H, et al. Bioelectrical impedance analysis is a useful bedside technique to assess malnutrition in cirrhotic patients with and without ascites. Hepatology 2000;32: Prijatmoko D, Strauss BJ, Lambert JR, Sievert W, Stroud DB, Wahlqvist ML, et al. Early detection of protein depletion in alcoholic cirrhosis: role of body composition analysis. Gastroenterology 1993;105: Figueiredo FA, Dickson ER, Pasha TM, Porayko MK, Therneau TM, Malinchoc M, et al. Utility of standard nutritional parameters in detecting body cell mass depletion in patients with end-stage liver disease. Liver Transpl 2000;6: Roy L, Legault L, Pomier-Layrargues G. Glomerular filtration rate measurement in cirrhotic patients with renal failure. Clin Nephrol 1998;50: Orlando R, Floreani M, Padrini R, Palatini P. Evaluation of measured and calculated creatinine clearances as glomerular filtration markers in different stages of liver cirrhosis. Clin Nephrol 1999;51: Mazzaferro V, Regalia E, Doci R, Andreola S, Pulvirenti A, Bozzetti F, et al. Liver transplantation for the treatment of small hepatocellular carcinomas in patients with cirrhosis. N Engl J Med 1996;334: Gaspari F, Perico N, Ruggenenti P, Mosconi L, Amuchastegui CS, Guerini E, et al. Plasma clearance of nonradioactive iohexol as a measure of glomerular filtration rate. J Am Soc Nephrol 1995;6: K/DOQI. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002;39(2 Suppl 1):S1 S 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: Kim WR, Biggins SW, Kremers WK, Wiesner RH, Kamath PS, Benson JT, et al. Hyponatremia and mortality among patients on the liver-transplant waiting list. N Engl J Med 2008;359: Lim Y-S, Larson TS, Benson JT, Kamath PS, Kremers WK, Therneau TM, et al. Serum sodium, renal function, and survival of patients with end-stage liver disease. J Hepatol 2010;52: Stephenson GR, Moretti EW, El-Moalem H, Clavien PA, Tuttle-Newhall JE. Malnutrition in liver transplant patients: preoperative subjective global assessment is predictive of outcome after liver transplantation. Transplantation 2001;72: Selberg O, Bottcher J, Tusch G, Pichlmayr R, Henkel E, Muller MJ. Identification of high- and low-risk patients before liver transplantation: a prospective cohort study of nutritional and metabolic parameters in 150 patients. Hepatology 1997;25: DeSanto NG, Anastasio P, Loguercio C, Spitali L, Del Vecchio Blanco C, Corvinelli M, et al. Creatinine clearance: an inadequate marker of renal filtration in patients with early posthepatitic cirrhosis (Child A) without fluid retention and muscle wasting. Nephron 1995;70:

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