Elective Liver Transplant List Mortality: Development of a United Kingdom End-Stage Liver Disease Score

被引:130
作者
Barber, Kerri [1 ]
Madden, Susanna [1 ]
Allen, Joanne [1 ]
Collett, Dave [1 ]
Neuberger, James [1 ]
Gimson, Alexander [2 ]
机构
[1] NHS Blood & Transplant, Bristol BS34 8RR, Avon, England
[2] Cambridge Univ Hosp Fdn NHS Trust, Hepatobiliary & Liver Transplant Unit, Cambridge, England
关键词
Liver transplantation; Transplant list mortality; Allocation; UKELD score; SERUM SODIUM CONCENTRATION; MELD SCORE; PREDICTS MORTALITY; WAITING-LIST; SURVIVAL; MODEL; HYPONATREMIA; CIRRHOSIS; IMPACT; RISK;
D O I
10.1097/TP.0b013e318225db4d
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background. Prediction of short-term survival probability is important in the selection and allocation of patients for liver transplantation, and the Mayo End-Stage Liver Disease (MELD) score has been used in these contexts. The aim of this study was to develop and validate a model for estimation of short-term prognosis of patients selected for elective liver transplantation in the United Kingdom. Methods. A modeling dataset was based on 1103 adult patients registered for a first elective liver transplant in the United Kingdom between April 1, 2003, and March 31, 2006, and a validation dataset based on 452 patients registered between April 1, 2006, and March 31, 2007. The final model (United Kingdom End-Stage Liver Disease) included international normalized ratio, serum creatinine, bilirubin, and sodium. Results. The model, based on the modeling dataset, accurately predicted mortality on the transplant list in the validation dataset and proved to be a better predictor than MELD or MELD-Na. The United Kingdom End-Stage Liver Disease score was not associated with overall posttransplant survival but was associated with both the duration of intensive care unit stay and overall initial hospital stay. Conclusion. This model, developed specifically for patients awaiting liver transplantation, provides a useful tool for the selection of patients for liver transplantation and the allocation of donor livers.
引用
收藏
页码:469 / 476
页数:8
相关论文
共 28 条
[1]  
[Anonymous], 2003, Modelling Survival Data in Medical Research
[2]   PROGNOSTIC VALUE OF SPONTANEOUS HYPONATREMIA IN CIRRHOSIS WITH ASCITES [J].
ARROYO, V ;
RODES, J ;
GUTIERREZLIZARRAGA, MA ;
REVERT, L .
AMERICAN JOURNAL OF DIGESTIVE DISEASES, 1976, 21 (03) :249-256
[3]  
Bahirwani R, 2008, LIVER TRANSPLANT, V14, P665, DOI 10.1002/lt.21367
[4]   Predicting survival among patients listed for liver transplantation: An assessment of serial MELD measurements [J].
Bambha, K ;
Kim, WR ;
Kremers, WK ;
Therneau, TM ;
Kamath, PS ;
Wiesner, R ;
Rosen, CB ;
Thostenson, J ;
Benson, JT ;
Dickson, ER .
AMERICAN JOURNAL OF TRANSPLANTATION, 2004, 4 (11) :1798-1804
[5]   Evidence-based incorporation of serum sodium concentration into MELD [J].
Biggins, Scott W. ;
Kim, W. Ray ;
Terrault, Norah A. ;
Saab, Sammy ;
Balan, Vijay ;
Schiano, Thomas ;
Benson, Joanne ;
Therneau, Terry ;
Kremers, Walter ;
Wiesner, Russell ;
Kamath, Patrick ;
Klintmalm, Goran .
GASTROENTEROLOGY, 2006, 130 (06) :1652-1660
[6]   Serum sodium predicts mortality in patients listed for liver transplantation [J].
Biggins, SW ;
Rodriguez, HJ ;
Bacchetti, P ;
Bass, NM ;
Roberts, JP ;
Terrault, NA .
HEPATOLOGY, 2005, 41 (01) :32-39
[7]   A systematic review of the performance of the Model for End-Stage Liver Disease (MELD) in the setting of liver transplantation [J].
Cholongitas, Evangelos ;
Marelli, Laura ;
Shusang, Vibhakorn ;
Senzolo, Marco ;
Rolles, Keith ;
Patch, David ;
Burroughs, Andrew K. .
LIVER TRANSPLANTATION, 2006, 12 (07) :1049-1061
[8]   The impact of serum sodium concentration on mortality after liver transplantation: A cohort Multicenter study [J].
Dawwas, Muhammad F. ;
Lewsey, James D. ;
Neuberger, James M. ;
Gimson, Alexander E. .
LIVER TRANSPLANTATION, 2007, 13 (08) :1115-1124
[9]   Predicting the prognosis of chronic liver disease: An evolution from child to MELD [J].
Forman, LM ;
Lucey, MR .
HEPATOLOGY, 2001, 33 (02) :473-475
[10]   Concordance probability and discriminatory power in proportional hazards regression [J].
Gönen, M ;
Heller, G .
BIOMETRIKA, 2005, 92 (04) :965-970