Female liver transplant recipients with the same GFR as male recipients have lower MELD scores - A systematic bias

American Journal of Transplantation

Volumn 7, Issue 3, 2007, Pages 685-692

  Cholongitas, E ^a   Marelli, L ^a   Kerry, A ^a   Goodier, D W ^a   Nair, D ^a   Thomas, M ^a   Patch, D ^a   Burroughs, A K ^a  

^a ROYAL FREE HOSPITAL   (United Kingdom)

Author keywords

Creatinine; Gender; GFR; Liver transplantation; MELD score

Indexed keywords

CREATININE; EDETATE CHROMIUM CR 51;

ADULT; AGE DISTRIBUTION; AGED; ALCOHOL LIVER CIRRHOSIS; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; CREATININE BLOOD LEVEL; FEMALE; GLOMERULUS FILTRATION RATE; GRAFT RECIPIENT; HUMAN; LIVER DISEASE; LIVER FUNCTION TEST; LIVER TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; SCORING SYSTEM; SEX DIFFERENCE;

ADULT; AGED; AGED, 80 AND OVER; BIAS (EPIDEMIOLOGY); CREATININE; FEMALE; GLOMERULAR FILTRATION RATE; HUMANS; KIDNEY FUNCTION TESTS; LIVER FAILURE; LIVER TRANSPLANTATION; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; SEVERITY OF ILLNESS INDEX; SEX FACTORS; WAITING LISTS;

EID: 33847766231     PISSN: 16006135     EISSN: 16006143     Source Type: Journal    
DOI: 10.1111/j.1600-6143.2007.01666.x     Document Type: Article

References (34)

1. Wiesner RH. Patient selection in an era of donor liver shortage: Current US policy. Nature Clinical Practice in Gastroenterology and Hepatology 2005; 2: 24-30.
2. Wiesner R, Edwards E, Freeman R et al. Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology 2003; 124: 91-96.
3. Said A, Williams J,Holden J et al. Model for end stage liver disease score predicts mortality across a broad spectrum of liver disease. J Hepatol 2004; 40: 897-903.
4. Arjal R, Mcashland T, Smith D, Brimhall B, Trotter J. Variation in model for end liver disease (MELD) score between transplant centres based on laboratory method for determination of international normalized ratio (INR). Hepatology 2005; 42: 205A.
5. Trotter JF, Brimhall B, Arjal R, Phillips C. Specific laboratory methodologies achieve higher model for endstage liver disease (MELD) scores for patients listed for liver transplantation. Liver Transpl 2004; 10: 995-1000.
6. Cholongitas E, Marelli L, Kerry A et al. Different methods of creatinine measurement significantly affect MELD scores. Liver Transpl 2006; in press.
7. Fraley DS, Burr R, Bernardini J, Angus D, Kramer DJ, Johnson JP. Impact of acute renal failure on mortality in end-stage liver disease with or without transplantation. Kidney Int 1998; 54: 518-524.
8. Cholongitas E, Papatheodoridis GV, Vangeli M, Terreni N, Patch D, Burroughs AK. Systematic review: The model for end-stage liver disease - should it replace Child-Pugh's classification for assessing prognosis in cirrhosis? Aliment Pharmacol Ther 2005; 22: 1079-1089.
9. Levey AS, Perrone RD, Madias NE. Serum creatinine and renal function. Annu Rev Med 1988; 39: 465-490.
10. Lamb EJ, O'Riordan SE, Delaney MP. Kidney function in older people: Pathology, assessment and management. Clin Chim Acta 2003; 334: 25-40.
11. Perrone RD, Madias NE, Levey AS. Serum creatinine as an index of renal function: New insights into old concepts. Clin Chem 1992; 38: 1933-1953.
12. Miller WG, Myers GL, Ashwood ER, Killeen AA, Wang E, Thienpont LM, Siekmann L. Creatinine measurement: State of the art in accuracy and interlaboratory harmonization. Arch Pathol Lab Med 2005; 129: 297-304.
13. Lamb EJ, Tomson CR, Roderick PJ. Estimating kidney function in adults using formulae. Ann Clin Biochem 2005; 42: 321-345.
14. Poggio ED,Wang X, Greene T, Van Lente F, Hall PM. Performance of the modification of diet in renal disease and Cockcroft-Gault equations in the estimation of GFR in health and in chronic kidney disease. J Am Soc Nephrol 2005; 16: 459-466.
15. 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: 301-309.
16. Poge U, Gerhardt T, Stoffel-Wagner B, Klehr HU, Sauerbruch T, Woitas RP. Calculation of glomerular filtration rate based on cystatin C in cirrhotic patients. Nephrol Dial Transplant 2006; 21: 660-664.
17. Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 2006; 145: 247-254.
18. Sherman DS, Fish DN, Teitelbaum I. Assessing renal function in cirrhotic patients: Problems and pitfalls. Am J Kidney Dis 2003; 41: 269-278.
19. Skluzacek PA, Szewc RG, Nolan CR III, Riley DJ, Lee S, Pergola PE. Prediction of GFR in liver transplant candidates. Am J Kidney Dis 2003; 42: 1169-1176.
20. Freeman RB. MELD: The holy grail of organ allocation? J Hepatol 2005; 42: 16-20.
21. Malinchoc M, Kamath PS, Gordon FD, Peine CJ, Rank J, ter Borg PC. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology 2000; 31: 864-871.
22. Freeman RB,Wiesner RH, Edwards E, Harper A, Merion R,Wolfe R. Results of the first year of the new liver allocation plan. Liver Transpl 2004; 10: 7-15.
23. Cooper GS, Bellamy P, Dawson NV, Desbiens N, Fulkerson WJ Jr, Goldman L et al. A prognostic model for patients with end-stage liver disease. Gastroenterology 1997; 113: 1278-1288.
24. Durand F, Valla D. Assessment of the prognosis of cirrhosis: Child-Pugh versus MELD. J Hepatol 2005; 42(Suppl):S100-S107.
25. Zucker S, Horn P, Sherman K. Serum Bilirubin Levels in the U.S. Population: Gender Effect and Inverse Correlation With Colorectal Cancer. Hepatology 2004; 40: 827-835.
26. Swedko PJ, Clark HD, Paramsothy K, Akbari A. Serum creatinine is an inadequate screening test for renal failure in elderly patients. Arch Intern Med 2003; 163: 356-360.
27. Duncan L, Heathcote J, Djurdjev O, Levin A. Screening for renal disease using serum creatinine: Who are we missing? Nephrol Dial Transplant 2001; 16: 1042-1046.
28. Christensen E. Prognostic models including the Child-Pugh, MELD and Mayo risk scores-where are we and where should we go? J Hepatol 2004; 41: 344-350.
29. Kanwal F, Dulai G, Gralnek I, Han S, Spiegel B. The impact of gender on access to liver transplnatation in the MELD era [abstract]. Gastroenterology 2005; 128: A701.
30. Gonwa TA, McBride MA, Anderson K, Mai ML,Wadei H, Ahsan N. Continued Influence of Preoperative Renal Function on Outcome of Orthotopic Liver Transplant (OLTX) in the US:Where Will MELD Lead Us? Am J Transplant 2006 (in press).
31. Baliga P, Merion RM, Turcotte JG, Ham JM, Henley KS, Lucey MR et al. Preoperative risk factor assessment in liver transplantation. Surgery 1992; 112: 704-710.
32. Dharnidharka VR, Kwon C, Stevens G. Serum cystatin C is superior to serum creatinine as a marker of kidney function: A meta-analysis. Am J Kidney Dis 2002; 40: 221-226.
33. Massey D. Commentary: Clinical diagnostic use of cystatin C. J Clin Lab Anal 2004; 18: 55-60.
34. Mazur MJ, Heilman RL. Early detection of acute renal failure by serum cystatin C: A new opportunity for a hepatologist. Liver Transpl 2005; 11: 705-707.