Are there better guidelines for allocation in liver transplantation?: A novel score targeting justice and utility in the model for end-stage liver disease era

Annals of Surgery

Volumn 254, Issue 5, 2011, Pages 745-753

  Dutkowski, Philipp ^a   Oberkofler, Christian E ^a   Slankamenac, Ksenija ^a   Puhan, Milo A ^b   Schadde, Erik ^a   Müllhaupt, Beat ^a   Geier, Andreas ^a   Clavien, Pierre A ^a  

^a UNIVERSITY HOSPITAL ZURICH   (Switzerland)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE DISTRIBUTION; CLINICAL ASSESSMENT TOOL; COLD ISCHEMIA; CONFERENCE PAPER; CONTROLLED STUDY; DATA BASE; DONOR RISK INDEX; END STAGE LIVER DISEASE; FEMALE; HEALTH CARE DISTRIBUTION; HEALTH CARE UTILIZATION; HEART DEATH; HUMAN; LIVER TRANSPLANTATION; LONG TERM CARE; MAJOR CLINICAL STUDY; MALE; MORTALITY; PRACTICE GUIDELINE; PRIORITY JOURNAL; RISK ASSESSMENT; SURVIVAL; UNITED STATES; VALIDATION PROCESS; GRAFT STEATOSIS; GRAFT SURVIVAL; NOTE; QUALITATIVE ANALYSIS; STEATOSIS; MEDICAL DECISION MAKING; PROGNOSIS; TREATMENT OUTCOME;

ADULT; COLD ISCHEMIA; END STAGE LIVER DISEASE; FEMALE; GUIDELINES AS TOPIC; HEALTH CARE RATIONING; HUMANS; LIVER TRANSPLANTATION; LOGISTIC MODELS; MALE; MIDDLE AGED; RESOURCE ALLOCATION; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; TISSUE AND ORGAN PROCUREMENT; UNITED STATES; WAITING LISTS;

EID: 80155133902     PISSN: 00034932     EISSN: 15281140     Source Type: Journal    
DOI: 10.1097/SLA.0b013e3182365081     Document Type: Conference Paper

References (30)

1. 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. (Pubitemid 36055342)
2. Weismuller TJ, Fikatas P, Schmidt J, et al. Multicentric evaluation of model for end-stage liver disease-based allocation and survival after liver transplantation in Germany-limitations of the 'sickest first'-concept. Transpl Int. 24: 91-99.
3. Dutkowski P, Oberkofler CE, Béchir M, et al. The model for end stage liver disease (MELD) allocation system for liver transplantation saves lives, but increases morbidity and cost. A prospective outcome analysis. Liver Transpl. 2011;17:674-684.
4. De la Mata M, Cuende N, Huet J, et al. Model for end stage liver disease score based allocation of donors for liver transplantation: a Spanish multicenter experience. Transplantation. 2006;82:1429-1435. (Pubitemid 44967624)
5. Desai NM, Mange KC, Crawford MD, et al. Predicting outcome after liver transplantation: utility of the model for end-stage liver disease and a newly derived discrimination function. Transplantation. 2004;77:99-106. (Pubitemid 38116879)
6. Brown RS Jr, Kumar KS, Russo MW, et al. Model for end-stage liver disease and Child-Turcotte-Pugh score as predictors of pretransplantation disease severity, posttransplantation outcome, and resource utilization in United Network for Organ Sharing status 2A patients. Liver Transpl. 2002;8: 278-284. (Pubitemid 34257211)
7. Feng S, Goodrich NP, Bragg-Gresham JL, et al. Characteristics associated with liver graft failure: the concept of a donor risk index. Am J Transpl. 2006;6:783-790. (Pubitemid 43345017)
8. Rana A, Hardy MA, Halazun KJ, et al. Survival outcomes following liver transplantation (SOFT) score: a novel method to predict patient survival following liver transplantation. Am J Transpl. 2008;8:2537-2546.
9. Weismuller TJ, Prokein J, Becker T, et al. Prediction of survival after liver transplantation by pre-transplant parameters. Scand J Gastroenterol. 2008;43:736-746. (Pubitemid 351868716)
10. Halldorson JB, Bakthavatsalam R, Fix O, et al. D-MELD, a simple predictor of post liver transplant mortality for optimization of donor/recipient matching. Am J Transpl. 2009;9:318-326.
11. Ghobrial RM, Gornbein J, Steadman R, et al. Pretransplant model to predict posttransplant survival in liver transplant patients. Ann Surg. 2002;236:315322; Discussion 322-323.
12. Donders AR, van der Heijden GJ, Stijnen T, et al. Review: a gentle introduction to imputation of missing values. J Clin Epidemiol. 2006;59:1087-1091 (Pubitemid 44374314)
13. Royston P, Moons KG, Altman DG, et al. Prognosis and prognostic research: Developing a prognostic model. BMJ. 2009;338:b604.
14. Sauerbrei W, Royston P, Binder H. Selection of important variables and determination of functional form for continuous predictors in multivariable model building. Stat Med. 2007;26:5512-5528. (Pubitemid 351193578)
15. Moons KG, Altman DG, Vergouwe Y, et al. Prognosis and prognostic research: application and impact of prognostic models in clinical practice. BMJ. 2009;338:b606.
16. Altman DG, Vergouwe Y, Royston P, et al. Prognosis and prognostic research: validating a prognostic model. BMJ. 2009;338:b605.
17. Moons KG, Royston P, Vergouwe Y, et al. Prognosis and prognostic research: what, why, and how? BMJ. 2009;338:b375.
18. Mantel N. Why stepdown procedures in variable selection. Technometrics. 1970;12:621-625.
19. Copas JB. Using regression models for prediction: shrinkage and regression to the mean. Stat Methods Med Res. 1997;6:167-183. (Pubitemid 127570362)
20. Sullivan LM, Massaro JM, D'Agostino RB Sr. Presentation of multivariate data for clinical use: the Framingham Study risk score functions. Stat Med. 2004;23:1631-1660. (Pubitemid 38660414)
21. Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15:361-387 (Pubitemid 26072233)
22. Dutkowski P, de Rougemont O, Müllhaupt B, et al. Current and future trends in liver transplantation in Europe. Gastroenterology. 2010;138:802-809.
23. Spitzer AL, Lao OB, Dick AA, et al. The biopsied donor liver: incorporating macrosteatosis into high-risk donor assessment. Liver Transpl. 2010;16:874-884.
24. Liu ZJ, Gong JP, yan LN. Quantitative estimation of the degree of hepatic macrovesicular steatosis in a disease-free population: a single-center experience in mainland China. Liver Transpl. 2009;15:1605-1612.
25. Dutkowski P, de Rougemont O, Clavien PA. Machine perfusion for marginal liver grafts. AJT. 2008, 8:917-924. (Pubitemid 351537756)
26. Feng S. The dilemma of high-risk deceased donor livers: who should get them? Liver Transpl. 2010;16:S60-S64.
27. Freeman RB. SOFT endpoints in liver transplantation. AJT. 2008;8:2483-2484.
28. Schaubel DE, Sima CS, Goodrich NP, et al. The survival benefit of deceased donor liver transplantation as a function of candidate disease severity and donor quality. Am J Transpl. 2008;8:419-425. (Pubitemid 351175358)
29. Schaubel DE, Guidinger MK, Biggins SW, et al. Survival benefit-based deceased-donor liver allocation. Am J Transpl. 2009;9:970-981.
30. Neuberger J. What is the real gain after liver transplantation? Liver Transpl. 2009;15:S1-S5.