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Comparison of Prognosis in Patients with Liver Cirrhosis and its Correlation with the Model for the End-Stage Liver Disease and Child-Pugh Score in Two Groups of Esophageal and Gastric Variceal Bleeding

 

Mohammadreza Sheikhian1 , Mohsen Ebrahimi2 , Seyedeh Masoumeh Pashai2,3

 

1Department of Internal Medicine, Imam Reza Hospital, Mashhad University of Medical Sciences, Mashhad, Iran

2Department of Emergency Medicine, Imam Reza Hospital, Mashhad University of Medical Sciences, Mashhad, Iran

3Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

 

 

Abstract

 

Background:Variceal bleeding is one of the most serious complications of cirrhosis. Up to now different methods are created for predicting the complications and mortality of cirrhosis. Child- Pugh score and MELD score are two methods for this use. In this study we investigated and compared survival prognosis of cirrhotic patients by the Child-Pugh or MELD score in two groups of esophageal and gastric variceal bleeding. Materials and Methods: In this cross-sectional trial, patients with upper GI bleeding were followed up for a 6 months period. The source of hemorrhage was determined by endoscopy, then patients distributed in two groups of esophageal and gastric variceal hemorrhage. Finally we investigated and compared the relationship between the variables and mortality rates in these two groups by means of the Child-Pugh and the MELD scores. The Student’s t-test and Receiver Operating Characteristic were used for statistical analysis.Results: 34 patients (12 with gastric varices, 22 with esophageal varices) were investigated. No significant difference between these two groups was observed. In this study mean MELD score was 16.67±8.75 and mean Child-Pugh score was 9.37±2.54. Eight patients (5 with gastric varices and 3 with esophageal varices) expired before 6 weeks and 2 patients (one four each group) expired after 6 weeks. The best cut-off points are 15.5 and 10.5 for MELD and Child-Pugh scores respectively (sensitivity and specificity are 0.75 and 0.98, respectively for both scores).Conclusion:Sensitivity and specificity of both scores were the same in prediction of mortality. However, the chance ratio defined that Child-Pugh score was a better predictor of mortality than MELD score, since the chance of death will increase 2.51 and 1.62 fold per each unit increase in the Child-Pugh and the MELD scores, respectively. However, no significant difference found between Child-Pugh and MELD score between two groups of patients.[GMJ. 2013;2(3):106-113]

 

Keywords: Liver Diseases; Esophageal Varices; Gastric Varices; Mortality

 

Correspondence to:

Mohsen Ebrahimi.MD, Department of Emergency Medicine, Imam Reza Hospital, Mashhad University of Medical Sciences, Mashhad, Iran.

Telephone Number: +98511-852-5209

Email Address :Sheikhianmr2@mums.ac.ir

 

 

Introduction

 

Variceal hemorrhage is one of the most serious complications of cirrhosis that leads to 13-30% mortality [1-3]. Variceal hemorrhage’s predisposing factors are size, shape, pressure, and place of varices and also other clinical manifestations of underline diseases [4]. The varices commonly expand in distal portion of esophagus, stomach and rectum; however other parts of the gastrointestinal tract can be affected [5]. Varices in middle portion of esophagus are formed deeply in the sub-mucosal layer and have mucosal support but in distal portion varices are more superficial and have less mucosal support, so they have more susceptibility for bleeding. Gastric varices’ hemorrhages are also common. These varices can be the continuation of esophageal varices in greater or lesser curvature (GOV1=Type 1 gastroesophageal varices) or it can be isolated in fundus (IGV1= type 1 isolated gastric varices) with prevalence of 10% and 90% respectively [6]. The more serious chronic hepatic disease takes place with the more complications and the more mortality because of hypovolumic shock, infections, and hepatic failure [7, 8]. Up to now different methods are created to predict the complications and mortality rate of cirrhosis. One of the most common and usable occupied methods is Child-Pugh score method [9]. However, this method can lead to some restrictions because of having two subjective criteria such as encephalopathy and acites. Recently, MELD (Model for the End-Stage Liver Disease) score is brought up as another prediction method of complications and mortality rates. This score is calculated by 3 biochemical parameters. Nevertheless the complexibility of this formula is regarded as a restriction [10-13]. Many studies have shown that a higher Child-Pugh or MELD score is associated with a greater mortality rate [14]; also some of others have shown the predicting value of these methods [15-17]. The overall results of these studies showed that thirty-day mortality after acute variceal bleeding is 15-20%. However, mortality rates of patients within six weeks after the bleeding was increased but the rate of survival after six weeks bleeding in cirrhotic patients was the same as those without bleeding [2].

In this study we investigated and compared Child-Pugh score versus MELD score in two groups of esophageal variceal bleeding and gastric variceal bleeding patients with cirrhosis and also we compared mortality rates between these two groups. The innovation of our study is this comparison and also the determination of cut-off point value of these methods in Iranian cirrhotic patients.

 

Materials and Methods

 

In our cross-sectional study, all the patients with upper GI (gastrointestinal) bleeding who were referred to Imam Reza Hospital Emergency ward from September 2011 to December 2012 were enrolled according to laboratory evalutions and then patients were followed up for a 6 months period. Our study’s inclusion criteria were: diagnosis of cirrhosis with any etiologies, occurrence of hematemesis or melena within 24 hours with vaiceal source before admission, and the first time incidence of upper GI bleeding. Also patients were excluded if they had GI bleeding with non-cirrhotic source, congestive gastropathy, ectopic varices, and hepatocellular carcinoma. All the participants were allowed to exit the study at any time during the investigations. The variables that were investigated in this study were: age, sex, bilirubin, albumin, INR, creatinine, acites, hepatic encephalopathy, mortality rates in the first 6 weeks after the initial bleeding up to 6 months.

Diagnostic methods for cirrhosis were histological, clinical and biochemical profile results and also sonographic and endoscopic investigations. We determined the source of hemorrhage in cirrhotic patients by endoscopy, so we distributed the patients in two groups of esophageal variceal hemorrhage and gastric variceal hemorrhage.

For calculation of the Child-Pugh score we used the main formula (Table-1) [18].Child-Pugh score consists of 5 parameters: bilirubin, albumin, INR, ascites, and hepatic encephalopathy. MELD score has been calculated using the following formula by the Mayo-Clinic group [19]: MELD SCORE: 10 {0.957 Ln [creatinine (mg/dL)] + 0.378 Ln [bilirubin (mg/dL)] + 1.12 Ln INR + 0.643}

Finally we investigated and compared the relationship between the variables and mortality rates in these two groups.

Mashhad University of Medical Sciences Research Ethics Council approved the project and the consents were freely and knowingly filled by the subjects. Satistical analysis performed by SPSS 17.0 and data explained as mean ± standard deviation and P <0.05 considered as significant. We used Sample T-Test and Mann-Withney test to analyse quantitative variables and also we used χ2 test and Fischer Test to analyse qualitative variables. In order to study the simultaneous effect of the variables in predicting the patient prognosis, we occupied the multiple logistic regressions. Also we used Receiver Operating Characteristic (ROC) curve to determine the appropriate cut-off points with suitable specificity and sensitivity for MELD and Child-Pugh scores.

 

Results

 

During this study 131 patients were enrolled in this study according to inclusion criteria but 97 patients were excluded according to exclusion criteria or exited in the follow up period and at last 34 patients were taken into account. Among those who excluded, 17 patients had congestive gastropathy, 2 patients had ectopic varices, 3 patients had hepatocellular carcinoma, 20 patients exited willingly, 13 patients were not available for the follow up, 42 patients had other bleeding sources. From 34 remained patients, 12 of them had gastric varices and 22 of them had esophageal varices. No significant differences between these two groups were observed regarding the demographic data (Table-2). In this study mean MELD score was 16.67±8.75 and mean Child-Pugh score was 9.37±2.54. Eight patients (5 with gastric varices and 3 with esophageal varices) expired before 6 weeks and 2 patients (one with gastric varices and one with esophageal varices) expired after 6 weeks. Fischer exact test showed that there was no significant relationship between the mortality and the patient groups (P=0.09). From 24 alive patients 16 were men and 8 were women (P=0.08). Also, there was no significant difference regarding the mean age of the expired patinent and the alive ones (P=0.76; t=0.31). Study of two important liver function markers, AST and ALT, showed that there were significant differences between expired and alive groups (P=0.001; P=0.004). MELD and Child-Pugh score were significantly higher in expired groups than the alive ones (P=0.001 and P<0.001, respectively; Table-3). To investigate the mortality predicting power of Child-Pugh or MELD scores, logistic regression analysis was used. Results showed that both MELD and Child-Pugh scores can predict the mortality of the patients along as if MELD scores increase one score, then the mortality rate will be 1.62 fold higher ( P=0.006) and if Child-Pugh scores increase one score, then the mortality rate will be 2.51 fold higher ( P=0.004). To get the appropriate cut-off points for MELD and Child-Pugh scores we used ROC. According to ROC results, 26 is an appropriate cut-off point for MELD score for prediction of mortality with a sensitivity and specificity of 0.75 (95% CI=0.58-0.92) and 0.98 (95% CI=0.55-1), respectively, while it is 11.5 for Child-Pugh score with a sensitivity and specificity of 0.75 (95% CI=0.59-0.91) and 0.98 (95% CI=0.71-1), respectively, (Figure-1, 2). The areas under the curve with 95% CI were 0.72-0.98 for MELD score and 0.81-1 for Child-Pugh score.

 

Discussion

 

One of the most challenging topics for physicians in approach to cirrhosis is the evaluation of the patients’ prognosis. Appropriate determination of liver transplantation time can reduce the mortality rates in patients waiting for transplantation and also may increase the patient survival [20-23].

Patients with cirrhosis who are suffering from variceal bleeding are in higher risk of mortality, so predicting the prognosis of patients helps us to determine appropriate time of their treatments. Nowadays, Child-Pugh score is one of the most usable methods for evaluating the prognosis of cirrhosis, but it has some shortcomings like its subjective factors (ascites and encephalopathy) which can be impressed by physician judgment. Moreover, this model can not distinguish the difference between 2 mg/dL or 4 mg/dL level of bilirubin as an example, because both of them are classified in the same classes and it is not possible to differentiate patients who are classified in a same group. According to this issue, recent studies investigated the impacts of other parameters like plasma sodium and serum creatinine concentrations on improvement of sensitivity of this method [24-26].On the other hand, MELD score was developed after Child-Pugh score to assess the prognosis of cirrhotic patients. MELD scoring is validated model for staging of chronic liver disease and it uses serum bilirubin, serum creatinine, and INR for prediction of patients’ survival and the severity of liver damage. At first, MELD score was created in order to predict mortality in patients with transjugular intrahepatic porto-systemic shunt (TIPS); and after that, it was used in assessing the prognosis of cirrhotic patients with a variety of clinical setting [10-13,27]. Increased MELD scores in cirrhotic patients are associated with hepatic impairment and also mortality rate. Two independent studies which have been conducted in North America, have shown that MELD score is at least as effective as Child-Pugh score in predicting clinical outcomes such as acute variceal bleeding and mortality in patients listed for liver transplantation [28,29]. Our study have confirmed this equivalency and explained the same sensitivity and specificity of 75% and 98% in differentiation of patients’ mortality for both models. In another study which was done by Stojanov et al [30] on cirrhotic patients with variceal hemorrhage, sensitivity was 95% for both scores and specificity of MELD and Child-Pugh scores were 53.8 and 82.5, respectively. In other studies [31] there were no significant difference between AUROC (area under the ROC curve) values of these two methods, and in some other studies both Child-Pugh and MELD scores have equivalent predicting power for mortality; however, in one of these studies which have investigated the cirrhotic patients who were waiting for transplantation, MELD score had a more predicting power than Child-Pugh score [32-39]. Although MELD score calculation is more complicated than Child-Pugh score and needs computer analysis, its usage is becoming more preferred [31]; because this method uses objective variables like serum creatinine which is an important parameter in determining the prognosis of patients sufferind fsom chronic liver diseases. Finally, it seems that, due to the favorable results reported for its high sensitivity and specificity, this preference in its usage is logical and might be beneficial for patients and health care providers.The reasons which might explain the better performance of MELD score in the prediction of mortality in cirrhotic patients with variceal hemorrhage in our study are: 1- Patients who died might have some degree of renal failure previously, 2- By increasing severity of bleeding, some degree of hemodynamic instability and acute renal failure due to hypovolumic shock might be occurred, 3- The patients who died were more likely to have liver function impairments. On the other hand, another point in our study is high mortality rate of cirrhotic patients in the first 6 weeks in comparison with other studies. In our investigation mortality rate for esophageal variceal bleeding was 8.8% and for gastric variceal bleeding was 14.7%, whereas in other studies it was 8% for esophageal varices and 14.2-42.7% for gastric varices [29, 31, 40]. These differences can be caused by different prophylactic antibiotics, usage of different interventions, different inclusion criteria, and the study population.

At last we compared Child-Pugh and MELD scores between groups with esophageal variceal and gastric variceal hemorrhages. Results showed that there were no significant differences between these two groups.

The limitations of this study were the use of different PPI treatments plan and administration methods for the participants by different physicians. The other limitation was the relatively small sample size. Due to this limitation, our findings cannot be generalized to the broader community. Therefore, more prospective surveys using the same methods with larger populations are needed to properly identify the better scoring method for prediction of mortality rate.

Conclusion

The results showed that both the Child-Pugh and MELD scoring method are similar considering the sensitivity and specificity in predicting the mortality. However, the chance ratio defined that, Child-Pugh score is a better predictor of mortality than MELD score, since the chance of death will increase 2.51 and 1.62 fold per each unit increase in the Child-Pugh and the MELD scores, respectively. However, no significant difference was found between Child-Pugh and MELD scores between two groups of patients suffering from esophageal and gastric variceal bleeding.

 

Acknowledgments

 

The authors would like to thank Mashhad University of Medical Sciences for supporting this paper financially. Authors also want to thank Sadra Tech Co., Ms.Nouraei and Dr. Ashkani, for scientific editing of the paper and preparing it for publication.

 

Financial Disclosure

 

This manuscript has been read and approved by all of the Authors and there is not potential conflict of interest.

 

 

Table 1. Child Pugh score parameters

Parameters

1 point

2 point

3 point

Serum bilirubin total (mg/dL)

<34 (<2)

34-50 (2-3)

>50(>3)

Serum albumin (mg/dL)

>35

28-35

<28

INR

<1.7

1.71-2.20

>2.20

Ascites

Non

Suppressed with medication

Refractory

Hepatic encephalopathy

Non

Suppressed with medication

Refractory

 

 

Table 2. Clinical and biochemical characteristics, MELD and Child-Pugh between two

Parameters

Gastric varic

(n=12)

Esophageal varic

(n=22)

Power

P-value

Sex(M/F)‡

8/4

15/7

0.03

>0.99

Age(year)(SD)†

60.75 (19.03)

56.59 (14.18)

0.1

0.47

ALT (mg/dL) [IQR]*

87.5 [80.25]

35.5 [55.25]

0.29

0.34

AST(mg/dL) [IQR]*

84 [97]

52 [53.75]

0.16

0.42

Serum albumin (mg/dL) (SD)†

2.76 (0.37)

2.92 (0.36)

0.21

0.23

Serum bilirubin (mg/dL) [IQR]*

1.15 [3.75]

1.45 [2.32]

0.08

0.69

Serum creatinine (mg/dL) [IQR]*

1.1 [0.60]

1.1 [0.63]

0.05

0.74

Prothrombin time (second) [IQR]*

15.1 [5.87]

16.2 [7.5]

0.4

0.16

INR[IQR]*

1.35 [0.88]

1.5 [1.05]

0.22

0.24

Ascites (N/M/P)1‡

0/5/7

5/10/7

0.39

0.14

Hepatic encephalopathy (N/M/P)2‡

5/3/4

15/2/5

0.29

0.31

MELD score[IQR]*

14 [18]

14 [14.5]

0.08

0.6

Child-Pugh score(SD)†

10.33 (2.39)

9.41 (2.61)

0.17

0.32

 

-Values are presented as mean (standard deviation) or median [Inter quartile range] and compared with Mann-Whitney test (*), T student test (†) or Fisher’s exact test (‡)

-1 & 2: N: No M: Moderate S: Severe

 

 

Table 3. Clinical and biochemical characteristics, MELD and Child-Pugh scores Pugh between two groups of study (Surviving patients vs. Deceased patients)

Parameters

Surviving Patients

(n=24)

Deceased Patients

(n=10)

Power

P-value

Sex(M/F)‡

16/8

7/3

0.03

>0.99

Age(year)(SD)†

57.5 (16.15)

59.4 (16.04)

0.06

0.76

ALT((mg/dL)) [IQR]*

21 [30.5]

87.5 [20]

0.79

0.00

AST((mg/dL)) [IQR]*

33 [47]

92.5 [35.5]

0.55

0.00

Serum albumin (mg/dL) (SD)†

2.9 (0.37)

2.8 (0.36)

0.11

0.36

Serum bilirubin (mg/dL) [IQR]*

1.3 [1.15]

4.4 [4.87]

0.64

0.12

Serum creatinine (mg/dL) [IQR]*

0.95 [0.38]

1.4 [0.95]

0.45

0.00

Prothrombin time (second) [IQR]*

15.3 [4.33]

19.9 [11.55]

0.62

0.03

INR[IQR]*

1.4 [0.57]

2.2 [2.15]

0.75

0.02

Ascites(N/M/P)1‡

5/13/6

0/2/8

0.73

0.01

Hepatic encephalopathy (N/M/P) 2‡

20/2/2

0/3/7

0.99

0.00

MELD score[IQR]*

11.5 [9]

27 [13.75]

0.91

0.00

Child-Pugh score(SD)†

8.67 (1.99)

12.3 (1.77)

0.99

0.00

 

- Values are presented as mean (standard deviation) or median [Inter quartile range] and compared with Mann-Whitney test (*), T student test (†) or Fisher’s exact test (‡)

-1 & 2: N: No M: Moderate S: Severe

 

 

Image6584.PNG 

Figure 1. The Receiver Operating Characteristic (ROC) Curve for MELD Score

Image6591.PNGFigure 2. The Receiver Operating Characteristic (ROC) Curve for Child-Pugh Score

References

  1. 1. Carbonell N, Pauwels A, Serfaty L, Fourdan O, Levy VG, Poupon R. Improved survival after variceal bleeding in patients with cirrhosis over the past two decades. Hepatology. 2004;40(3):652-9.
  2. 2. Chalasani N, Kahi C, Francois F, Pinto A, Marathe A, Bini EJ, et al. Improved patient survival after acute variceal bleeding: a multicenter, cohort study. The American journal of gastroenterology. 2003;98(3):653-9.
  3. 3. Graham DY, Smith JL. The course of patients after variceal hemorrhage. Gastroenterology. 1981;80(4):800-9.
  4. 4. Kumar A, Sharma P, Sarin SK. Adding variceal status to Child-Turcotte-Pugh score improves its performance in predicting early mortality in cirrhosis: the Child-Turcotte-Pugh-Kumar score. European journal of gastroenterology & hepatology. 2012;24(11):1348-9.
  5. 5. Xu L, Ji F, Xu QW, Zhang MQ. Risk factors for predicting early variceal rebleeding after endoscopic variceal ligation. World journal of gastroenterology : WJG. 2011;17(28):3347-52.
  6. 6. Sarin SK, Lahoti D, Saxena SP, Murthy NS, Makwana UK. Prevalence, classification and natural history of gastric varices: a long-term follow-up study in 568 portal hypertension patients. Hepatology. 1992;16(6):1343-9.
  7. 7. D’Amico G, De Franchis R. Upper digestive bleeding in cirrhosis. Post-therapeutic outcome and prognostic indicators. Hepatology. 2003;38(3):599-612.
  8. 8. Park DK, Um SH, Lee JW, Lee JB, Kim YS, Park CH, et al. Clinical significance of variceal hemorrhage in recent years in patients with liver cirrhosis and esophageal varices. Journal of gastroenterology and hepatology. 2004;19(9):1042-51.
  9. 9. Kim MY, Um SH, Baik SK, Seo YS, Park SY, Lee JI, et al. Clinical features and outcomes of gastric variceal bleeding: retrospective Korean multicenter data. Clinical and molecular hepatology. 2013;19(1):36-44.
  10. 10. Perkins L, Jeffries M, Patel T. Utility of preoperative scores for predicting morbidity after cholecystectomy in patients with cirrhosis. Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association. 2004;2(12):1123-8.
  11. 11. Heuman DM, Mihas A. Utility of the MELD score for assessing 3-month survival in patients with liver cirrhosis: one more positive answer. Gastroenterology. 2003;125(3):992-3.
  12. 12. Dunn W, Jamil LH, Brown LS, Wiesner RH, Kim WR, Menon KV, et al. MELD accurately predicts mortality in patients with alcoholic hepatitis. Hepatology. 2005;41(2):353-8.
  13. 13. Terra C, Guevara M, Torre A, Gilabert R, Fernandez J, Martin-Llahi M, et al. Renal failure in patients with cirrhosis and sepsis unrelated to spontaneous bacterial peritonitis: value of MELD score. Gastroenterology. 2005;129(6):1944-53.
  14. 14. de Franchis R, Primignani M. Why do varices bleed? Gastroenterology clinics of North America. 1992;21(1):85-101.
  15. 15. Amitrano L, Guardascione MA, Bennato R, Manguso F, Balzano A. MELD score and hepatocellular carcinoma identify patients at different risk of short-term mortality among cirrhotics bleeding from esophageal varices. Journal of hepatology. 2005;42(6):820-5.
  16. 16. Chalasani N, Kahi C, Francois F, Pinto A, Marathe A, Bini EJ, et al. Model for end-stage liver disease (MELD) for predicting mortality in patients with acute variceal bleeding. Hepatology. 2002;35(5):1282-4.
  17. 17. Lee JY, Lee JH, Kim SJ, Choi DR, Kim KH, Kim YB, et al. Comparison of predictive factors related to the mortality and rebleeding caused by variceal bleeding: Child-Pugh score, MELD score, and Rockall score. Taehan Kan Hakhoe chi = The Korean journal of hepatology. 2002;8(4):458-64.
  18. 18. Pugh RN, Murray-Lyon IM, Dawson JL, Pietroni MC, Williams R. Transection of the oesophagus for bleeding oesophageal varices. The British journal of surgery. 1973;60(8):646-9.
  19. 19. Group MC. The MELD Model, UNOS Modification. 2012 [ 6th Jun 2013]; Available from: http://www.mayoclinic.org/meld/mayomodel6.html.
  20. 20. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143(1):29-36.
  21. 21. Freeman RB, Edwards EB. Liver transplant waiting time does not correlate with waiting list mortality: implications for liver allocation policy. Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society. 2000;6(5):543-5.
  22. 22. Carithers RL. Liver transplantation. American Association for the Study of Liver Diseases. Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society. 2000;6(1):122-35.
  23. 23. Rufat P, Fourquet F, Conti F, Le Gales C, Houssin D, Coste J. Costs and outcomes of liver transplantation in adults: a prospective, 1-year, follow-up study. GRETHECO study group. Transplantation. 1999;68(1):76-83.
  24. 24. Muto P, Freeman RB, Haug CE, Lu A, Rohrer RJ. Liver transplant candidate stratification systems. Implications for third-party payors and organ allocation. Transplantation. 1994;57(2):306-8.
  25. 25. Zauner C, Schneeweiss B, Schneider B, Madl C, Klos H, Kranz A, et al. Short-term prognosis in critically ill patients with liver cirrhosis: an evaluation of a new scoring system. European journal of gastroenterology & hepatology. 2000;12(5):517-22.
  26. 26. Singh N, Gayowski T, Wagener MM, Marino IR. Outcome of patients with cirrhosis requiring intensive care unit support: prospective assessment of predictors of mortality. Journal of gastroenterology. 1998;33(1):73-9.
  27. 27. Srikureja W, Kyulo NL, Runyon BA, Hu KQ. MELD score is a better prognostic model than Child-Turcotte-Pugh score or Discriminant Function score in patients with alcoholic hepatitis. Journal of hepatology. 2005;42(5):700-6.
  28. 28. Abouassi SG, Mihas AA, Williams LM, Gilles HS, Heuman DM. MELD and CTP scores are equivalent predictors of mortality in cirrhotic veterans referred for orthotopic liver transplantation(OLT). Hepatology. 2001;34(4):207.
  29. 29. Chalasani N, Kahl CJ, Francois F, Pinto A, Marathe A, Pandya P, et al. Mayo Clinic end-stage liver disease model (MELD) for predicting patient outcomes following acute variceal bleeding. Hepatology. 2001;34(4):345.
  30. 30. Benedeto-Stojanov D, Nagorni A, Bjelakovic G, Stojanov D, Mladenovic B, Djenic N. The Model for the End-Stage Liver Disease and Child-Pugh score in predicting prognosis in patients with liver cirrhosis and esophageal variceal bleeding. Vojnosanit Pregl. 2009;66(9):724-8.
  31. 31. Flores-Rendon AR, Gonzalez-Gonzalez JA, Garcia-Compean D, Maldonado-Garza HJ, Garza-Galindo AA. Model for end stage of liver disease (MELD) is better than the Child-Pugh score for predicting in-hospital mortality related to esophageal variceal bleeding. Ann Hepatol. 2008;7(3):230-4.
  32. 32. Terra C, Guevara M, Torre A, Gilabert R, Fernandez J, Martin-Llahi M, et al. Renal failure in patients with cirrhosis and sepsis unrelated to spontaneous bacterial peritonitis: Value of MELD score. Gastroenterology. 2005;129(6):1944-53.
  33. 33. Perkins L, Jeffries M, Patel T. Utility of Preoperative Scores for Predicting Morbidity After Cholecystectomy in Patients With Cirrhosis. Clin Gastroenterol H. 2004;2(12):1123-8.
  34. 34. Dunn W, Jamil LH, Brown LS, Wiesner RH, Kim WR, Menon KVN, et al. MELD accurately predicts mortality in patients with alcoholic hepatitis. Hepatology. 2005;41(2):353-8.
  35. 35. Cholongitas E, Marelli L, Shusang V, Senzolo M, Rolles K, Patch D, et al. A systematic review of the performance of the Model for End-Stage Liver Disease (MELD) in the setting of liver transplantation. Liver Transplant. 2006;12(7):1049-61.
  36. 36. Biggins SW, Bambha K. MELD-based liver allocation: Who is underserved? Semin Liver Dis. 2006;26(3):211-20.
  37. 37. Srikureja W, Kyulo NL, Runyon BA, Hu KQ. MELD score is a better prognostic model than Child-Turcotte-Pugh score or Discriminant Function score in patients with alcoholic hepatitis. Journal of hepatology. 2005;42(5):700-6.
  38. 38. Heuman DM, Mihas AA. Utility of the MELD score for assessing 3-month survival in patients with liver cirrhosis: One more positive answer. Gastroenterology. 2003;125(3):992-3.
  39. 39. Malinchoc M, D’Amico G, Wiessner RH, Kamath PS. The Mayo end-stage liver disease model predicts longterm survival among patients with compensated liver disease. Hepatology. 2000;32(4):407.
  40. 40. Carbonell N, Pauwels A, Serfaty L, Fourdan O, Levy VG, Poupon R. Improved survival after variceal bleeding in patients with cirrhosis over the past two decades. Hepatology. 2004;40(3):652-9.