Literature DB >> 12691933

Operative parameters that predict the outcomes of hepatic transplantation.

James F Markmann1, Joseph W Markmann, Niraj M Desai, Angeles Baquerizo, Jennifer Singer, Hasan Yersiz, Curtis Holt, Rafik M Ghobrial, Douglas G Farmer, Ronald W Busuttil.   

Abstract

BACKGROUND: A growing discrepancy between the number of patients awaiting liver transplantation and the number of organs available mandates the use of even marginal organ donors in whom there is major risk of suboptimal graft function. A comprehensive analysis of operative parameters on the outcomes of liver transplantation has not been reported. STUDY
DESIGN: We analyzed the impact of 24 operative variables on the survival of 942 consecutive primary liver allografts performed at a single center from June 1992 through December 1997. Univariate and Cox proportional hazards analysis was used to identify those variables with independent prognostic significance in graft survival. Resource utilization for variables with multivariate significance was also analyzed.
RESULTS: Of 12 intraoperative variables found to have significance in univariate analysis, three were significant by Cox multivariate analysis: 1) lack of immediate bile production by the graft intraoperatively, 2) platelet transfusion > or = 20 U, and 3) recipient urine output < or =2.0 mL/kg/h intraoperatively. Each of the three variables was associated with marked increases in hospital and Intensive Care Unit length of stay and hospital charges accrued during the admission for transplantation.
CONCLUSION: We identified three operative parameters that predict a poor outcome after liver transplantation. The presence of these indicators suggests that early retransplantation should be considered. Early identification of grafts likely to have poor function might also provide an opportunity for therapeutic intervention to salvage graft function.

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Year:  2003        PMID: 12691933     DOI: 10.1016/S1072-7515(02)01907-5

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  6 in total

1.  Using Bayesian networks to predict survival of liver transplant patients.

Authors:  Nathan Hoot; Dominik Aronsky
Journal:  AMIA Annu Symp Proc       Date:  2005

2.  Physician predictions of graft survival following liver transplantation.

Authors:  Nathan R Hoot; Irene D Feurer; Mary T Austin; Michael K Porayko; J Kelly Wright; Nancy M Lorenzi; C Wright Pinson; Dominik Aronsky
Journal:  HPB (Oxford)       Date:  2007       Impact factor: 3.647

Review 3.  Current concepts in transplant surgery: liver transplantation today.

Authors:  A Mehrabi; H Fonouni; S A Müller; J Schmidt
Journal:  Langenbecks Arch Surg       Date:  2008-02-29       Impact factor: 3.445

4.  Postoperative Insulin-Like Growth Factor 1 Levels Reflect the Graft's Function and Predict Survival after Liver Transplantation.

Authors:  Daniele Nicolini; Federico Mocchegiani; Gioia Palmonella; Martina Coletta; Marina Brugia; Roberto Montalti; Giammarco Fava; Augusto Taccaliti; Andrea Risaliti; Marco Vivarelli
Journal:  PLoS One       Date:  2015-07-17       Impact factor: 3.240

5.  Criteria for viability assessment of discarded human donor livers during ex vivo normothermic machine perfusion.

Authors:  Michael E Sutton; Sanna op den Dries; Negin Karimian; Pepijn D Weeder; Marieke T de Boer; Janneke Wiersema-Buist; Annette S H Gouw; Henri G D Leuvenink; Ton Lisman; Robert J Porte
Journal:  PLoS One       Date:  2014-11-04       Impact factor: 3.240

6.  Time spent in hospital after liver transplantation: Effects of primary liver disease and comorbidity.

Authors:  Chutwichai Tovikkai; Susan C Charman; Raaj K Praseedom; Alexander E Gimson; Jan van der Meulen
Journal:  World J Transplant       Date:  2016-12-24
  6 in total

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