Literature DB >> 8165698

Early death or retransplantation in adults after orthotopic liver transplantation. Can outcome be predicted?

H R Doyle1, I R Marino, N Jabbour, G Zetti, J McMichael, S Mitchell, J Fung, T E Starzl.   

Abstract

Early, reliable outcome prediction after a liver transplant would help improve organ use by minimizing unnecessary retransplantations. At the same time, early intervention in those cases destined to fail may ameliorate the high morbidity and mortality associated with retransplantation. The purpose of this study was to analyze several parameters that have been identified in the past as being associated with patient and graft outcome, and to try to develop a model that would allow us to make predictions based on data available in the early postoperative period. A total of 148 patients were followed in a prospective, observational study. Graft failure was defined as patient death or retransplantation within 3 months of surgery. Preoperative variables studied included patient demographics, need for life support, presence of ascites, serum bilirubin, serum albumin, prothrombin time, serum creatinine, and the results of the cytotoxic crossmatch. During the first 5 postoperative days, standard measurements included serum transaminases, serum bilirubin, ketone body ratio, prothrombin time, factor V, and serum lactate. Oxygen consumption was measured shortly after surgery, once the patients had rewarmed to 36 degrees C. There were 131 successful transplants (88.5%) and 17 failures (11.5%). Most of the variables studied were found to be associated with outcome (by univariate analysis) at different points in the early postoperative period. However, receiver operating characteristic curve analysis showed that the predictive ability of even the best parameter was not adequate to make decisions on individual patients. Multivariate analysis, using stepwise logistic regression, yielded a model with an overall accuracy of 92.7%. Again, receiver operating characteristic curve analysis suggested that this model did not achieve the discriminating power needed for routine clinical use. We are still not able to accurately predict outcome in the early posttransplant period. We must be very careful when evaluating parameters, or scoring systems, that are said to accomplish this. It is especially important in this era of cost containment, with its renewed pressures to guide therapy based on our perceived understanding of a patient's future clinical course.

Entities:  

Mesh:

Substances:

Year:  1994        PMID: 8165698      PMCID: PMC3018883          DOI: 10.1097/00007890-199404150-00008

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  37 in total

1.  Receiver operating characteristic (ROC) analysis of the ability of arterial ketone body ratio to predict graft outcome after liver transplantation--its sensitivity and specificity.

Authors:  Y Takada; N Ozaki; B Ringe; K Mori; G Gubernatis; M Oellerich; T Yamaguchi; T Kiuchi; Y Shimahara; Y Yamaoka
Journal:  Transpl Int       Date:  1992-03       Impact factor: 3.782

2.  Changes in renal function after liver transplantation under FK 506.

Authors:  J McCauley; J J Fung; S Todo; A Jain; P Deballi; T E Starzl
Journal:  Transplant Proc       Date:  1991-12       Impact factor: 1.066

Review 3.  American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference: definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis.

Authors: 
Journal:  Crit Care Med       Date:  1992-06       Impact factor: 7.598

Review 4.  Liver transplantation: a 31-year perspective. Part III.

Authors:  T E Starzl; A J Demetris
Journal:  Curr Probl Surg       Date:  1990-04       Impact factor: 1.909

5.  Significance of arterial ketone body ratio measurement in human liver transplantation.

Authors:  Y Taki; G Gubernatis; Y Yamaoka; M Oellerich; Y Yamamoto; B Ringe; R Okamoto; H Bunzendahl; M Beneking; M Burdelski
Journal:  Transplantation       Date:  1990-03       Impact factor: 4.939

6.  Mortality during intensive care after orthotopic liver transplantation.

Authors:  G R Park; J Gomez-Arnau; M J Lindop; J R Klinck; R Williams; R Y Calne
Journal:  Anaesthesia       Date:  1989-12       Impact factor: 6.955

7.  Stratifying the causes of death in liver transplant recipients. An approach to improving survival.

Authors:  B W Shaw; R P Wood; R J Stratta; T J Pillen; A N Langnas
Journal:  Arch Surg       Date:  1989-08

8.  Acute and chronic renal failure in liver transplantation.

Authors:  J McCauley; D H Van Thiel; T E Starzl; J B Puschett
Journal:  Nephron       Date:  1990       Impact factor: 2.847

9.  The adverse impact on liver transplantation of using positive cytotoxic crossmatch donors.

Authors:  S Takaya; O Bronsther; Y Iwaki; K Nakamura; K Abu-Elmagd; A Yagihashi; A J Demetris; M Kobayashi; S Todo; A G Tzakis
Journal:  Transplantation       Date:  1992-02       Impact factor: 4.939

10.  The clinical significance of the arterial ketone body ratio as an early indicator of graft viability in human liver transplantation.

Authors:  K Asonuma; S Takaya; R Selby; R Okamoto; Y Yamamoto; T Yokoyama; S Todo; K Ozawa; T E Starzl
Journal:  Transplantation       Date:  1991-01       Impact factor: 4.939

View more
  16 in total

1.  Multivariate regression analysis on early mortality after orthotopic liver transplantation.

Authors:  Ye-Ben Qian; Gui-Hua Cheng; Jie-Fu Huang
Journal:  World J Gastroenterol       Date:  2002-02       Impact factor: 5.742

2.  A prognostic model for the outcome of liver transplantation in patients with cholestatic liver disease.

Authors:  P Ricci; T M Therneau; M Malinchoc; J T Benson; J L Petz; G B Klintmalm; J S Crippin; R H Wiesner; J L Steers; J Rakela; T E Starzl; E R Dickson
Journal:  Hepatology       Date:  1997-03       Impact factor: 17.425

3.  Indocyanine green elimination test in orthotopic liver recipients.

Authors:  T Tsubono; S Todo; N Jabbour; A Mizoe; V Warty; A J Demetris; T E Starzl
Journal:  Hepatology       Date:  1996-11       Impact factor: 17.425

4.  Long-term survival after liver transplantation in 4,000 consecutive patients at a single center.

Authors:  A Jain; J Reyes; R Kashyap; S F Dodson; A J Demetris; K Ruppert; K Abu-Elmagd; W Marsh; J Madariaga; G Mazariegos; D Geller; C A Bonham; T Gayowski; T Cacciarelli; P Fontes; T E Starzl; J J Fung
Journal:  Ann Surg       Date:  2000-10       Impact factor: 12.969

5.  Preoperative assessment of risk in liver transplantation: a multivariate analysis in 2376 cases of the UW era.

Authors:  I R Marino; F Morelli; C Doria; T Gayowski; J McMichael; J J Fung; T E Starzl; H R Doyle
Journal:  Transplant Proc       Date:  1997 Feb-Mar       Impact factor: 1.066

6.  Low serum factor V level: early predictor of allograft failure and death following liver transplantation.

Authors:  Mauricio C Zulian; Marcio F Chedid; Aljamir D Chedid; Tomaz J M Grezzana Filho; Ian Leipnitz; Alexandre de Araujo; Mario R Alvares-da-Silva; Mario G Cardoni; Luciano S Guimaraes; Cleber D P Kruel; Cleber R P Kruel
Journal:  Langenbecks Arch Surg       Date:  2015-02-24       Impact factor: 3.445

7.  A cost analysis of alprostadil in liver transplantation.

Authors:  D G Smith; K S Henley; C S Remmert; S L Hass; I D McLaren
Journal:  Pharmacoeconomics       Date:  1996-06       Impact factor: 4.981

8.  Hepatic retransplantation in cholestatic liver disease: impact of the interval to retransplantation on survival and resource utilization.

Authors:  W R Kim; R H Wiesner; J J Poterucha; T M Therneau; M Malinchoc; J T Benson; J S Crippin; G B Klintmalm; J Rakela; T E Starzl; R A Krom; R W Evans; E R Dickson
Journal:  Hepatology       Date:  1999-08       Impact factor: 17.425

9.  Decision for retransplantation of the liver: an experience- and cost-based analysis.

Authors:  Daniel Azoulay; Marcello M Linhares; Emmanuel Huguet; Valérie Delvart; Denis Castaing; René Adam; Philippe Ichai; Faouzi Saliba; Antoinette Lemoine; Didier Samuel; Henri Bismuth
Journal:  Ann Surg       Date:  2002-12       Impact factor: 12.969

10.  Hepatic Retransplantation--an analysis of risk factors associated with outcome.

Authors:  H R Doyle; F Morelli; J McMichael; C Doria; L Aldrighetti; T E Starzl; I R Marino
Journal:  Transplantation       Date:  1996-05-27       Impact factor: 4.939

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.