Selecting an optimal cutoff value for creatinine in the model for end-stage liver disease equation

Clinical Transplantation

Volumn 24, Issue 2, 2010, Pages 157-163

  Huo, Teh Ia ^a,b   Hsu, Chia Yang ^a,b   Lin, Han Chieh ^a,b   Lee, Pui Ching ^a   Lee, Jing Yi ^b   Lee, Fa Yauh ^a,b   Hou, Ming Chih ^a,b   Lee, Shou Dong ^a,b  

^a TAIPEI VETERANS GENERAL HOSPITAL   (Taiwan)

^b NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

Creatinine; Liver cirrhosis; Liver transplantation; Model for end stage liver disease

Indexed keywords

CREATININE;

ACCURACY; ADULT; AGED; ARTICLE; CLINICAL EVALUATION; CONTROLLED STUDY; CREATININE BLOOD LEVEL; DISEASE SEVERITY; FEMALE; HUMAN; LIVER CIRRHOSIS; LIVER TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; MODEL FOR END STAGE LIVER DISEASE; MORTALITY; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RECEIVER OPERATING CHARACTERISTIC; REFERENCE VALUE; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SURVIVAL TIME;

AGED; AREA UNDER CURVE; CREATININE; FEMALE; HUMANS; INTERNATIONAL NORMALIZED RATIO; LIVER CIRRHOSIS; LIVER TRANSPLANTATION; MALE; MIDDLE AGED; ROC CURVE; SEVERITY OF ILLNESS INDEX; TISSUE AND ORGAN PROCUREMENT;

EID: 77952936487     PISSN: 09020063     EISSN: 13990012     Source Type: Journal    
DOI: 10.1111/j.1399-0012.2009.01099.x     Document Type: Article

References (29)

1. Wiesner R, Edwards E, Freeman R. Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology 2003, 124:91.
2. Olthoff KM, Brown RS, Delmonico FL. Summary report of a national conference: evolving concepts in liver allocation in the MELD and PELD era. Liver Transpl 2004, 10(Suppl 2):A6.
3. Freeman RB, Wiesner RH, Edwards E. United Network for Organ Sharing Organ Procurement and Transplantation Network Liver and Transplantation Committee. Results of the first year of the new liver allocation plan. Liver Transpl 2004, 10:7.
4. Huo TI, Lin HC, Wu JC. Different model for end-stage liver disease score block distributions may have a variable ability for outcome prediction. Transplantation 2005, 80:1414.
5. Huo SC, Huo TI, Lin HC. Is the corrected-creatinine model for end-stage liver disease a feasible strategy to adjust gender difference in organ allocation for liver transplantation? Transplantation 2007, 84:1406.
6. Huo TI, Lin HC, Huo SC. Comparison of four model for end-stage liver disease-based prognostic systems for cirrhosis. Liver Transpl 2008, 14:837.
7. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982, 143:29.
8. Freeman RB, Wiesner RH, Roberts JP. Improving liver allocation: MELD and PELD. Am J Transplant 2004, 4(Suppl 9):114.
9. Freeman RB. The model for end-stage liver disease comes of age. Clin Liver Dis 2007, 11:249.
10. Merion RM, Schaubel DE, Dykstra DM. The survival benefit of liver transplantation. Am J Transplant 2005, 5:307.
11. Durand F, Valla D. Assessment of prognosis of cirrhosis. Semin Liver Dis 2008, 28:110.
12. Brandão A, Fuchs SC, Gleisner AL. Model for the end-stage liver disease and death prediction in a cohort of Brazilian patients on the waiting list for liver transplantation. Clin Transplant 2008, 22:651.
13. Bruno S, Zuin M, Crosignani A. Predicting mortality risk in patients with compensated HCV-induced cirrhosis: a long-term prospective study. Am J Gastroenterol 2009, 104:1147.
14. Farnsworth N, Fagan SP, Berger DH. Child-Turcotte-Pugh versus MELD score as a predictor of outcome after elective and emergent surgery in cirrhotic patients. Am J Surg 2004, 188:580.
15. Befeler AS, Palmer DE, Hoffman M. The safety of intra-abdominal surgery in patients with cirrhosis: model for end-stage liver disease score is superior to Child-Turcotte-Pugh classification in predicting outcome. Arch Surg 2005, 140:650.
16. Brandão A, Fuchs SC, Gleisner AL. MELD and other predictors of survival after liver transplantation. Clin Transplant 2009, 23:220.
17. Huo TI, Lin HC, Hsia CY. The model for end-stage liver disease based cancer staging systems are better prognostic models for hepatocellular carcinoma: a prospective sequential survey. Am J Gastroenterol 2007, 102:1920.
18. Huo TI, Lin HC, Huang YH. The model for end-stage liver disease-based Japan Integrated Scoring system may have a better predictive ability for patients with hepatocellular carcinoma undergoing loco-regional therapy. Cancer 2006, 107:141.
19. Freeman RB, Edwards EB, Harper AM. Waiting list removal rates among patients with chronic and malignant liver diseases. Am J Transplant 2006, 6:1416.
20. Huo TI, Huang YH, Su CW. Validation of the HCC-MELD for dropout probability in patients with small hepatocellular carcinoma undergoing locoregional therapy. Clin Transplant 2008, 22:469.
21. du Cheyron D, Bouchet B, Parienti JJ. The attributable mortality of acute renal failure in critically ill patients with liver cirrhosis. Intensive Care Med 2005, 31:1693.
22. Terra C, Guevara M, Torre A. Renal failure in patients with cirrhosis and sepsis unrelated to spontaneous bacterial peritonitis: value of MELD score. Gastroenterology 2005, 129:944.
23. Serra MA, Puchades MJ, Rodríguez F. Clinical value of increased serum creatinine concentration as predictor of short-term outcome in decompensated cirrhosis. Scand J Gastroenterol 2004, 39:1149.
24. Moreau R, Lebrec D. Acute renal failure in patients with cirrhosis: perspectives in the age of MELD. Hepatology 2003, 37:233.
25. Longheval G, Vereerstraeten P, Thiry P. Predictive models of short- and long-term survival in patients with nonbiliary cirrhosis. Liver Transpl 2003, 9:260.
26. Malinchoc M, Kamath PS, Gordon FD. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology 2000, 31:864.
27. Huo TI, Wu JC, Lin HC. Evaluation of the increase in model for end-stage liver disease (deltaMELD) score over time as a prognostic predictor in patients with advanced cirrhosis: risk factor analysis and comparison with initial MELD and Child-Turcotte-Pugh score. J Hepatol 2005, 42:826.
28. Huo TI, Lin HC, Wu JC. Limitation of the model for end-stage liver disease for outcome prediction in patients with cirrhosis-related complications. Clin Transplant 2006, 20:188.
29. Chan HL, Chim AM, Lau JT. Evaluation of model for end-stage liver disease for prediction of mortality in decompensated chronic hepatitis B. Am J Gastroenterol 2006, 101:1516.