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Porcine Liver Transplantation Without Veno-Venous Bypass As an Extended Criteria Donor Model
Published on: August 17, 2022
Prediction of survival after liver transplantation by pre-transplant parameters
Tobias J Weismüller1, Jana Prokein, Thomas Becker
1Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany.
Insights
Predicting liver transplant survival is crucial. A new score using age, creatinine, and cholinesterase accurately identifies high-risk patients, improving clinical management and decision-making for liver transplantation outcomes.
Area of Science:
- Hepatology
- Transplantation Medicine
- Medical Statistics
Background:
- Current liver transplantation (OLT) urgency criteria can lead to complications and reduced survival.
- Improved preoperative patient selection and management are needed to enhance post-transplant outcomes.
Purpose of the Study:
- To develop and validate a predictive model for patient survival after liver transplantation.
- To identify key clinical parameters for predicting short-term post-OLT survival.
Main Methods:
- Retrospective analysis of 133 adult patients undergoing OLT.
- Univariate and multivariate analyses to identify predictors of 12-month mortality.
- Validation of a predictive score in an independent cohort of 87 OLT patients.
Main Results:
- 12-month patient survival was 81.2%.
- MELD score >16 was associated with significantly lower survival (71.7% vs 86.2%, p=0.041).
- Age, serum creatinine, and cholinesterase levels were significant predictors of mortality. The validated score distinguished high-risk (47.4% survival) from low-risk (91.2% survival) groups (p<0.001).
Conclusions:
- Pre-transplant age, creatinine, and cholinesterase are reliable predictors of short-term post-OLT survival.
- A bedside score incorporating these factors can aid in clinical management, outcome prediction, and decision-making for liver transplantation.
Objective:
Score-based medical urgency criteria are used for necessity-oriented liver transplantation (OLT) but lead to an increasing number of complications in patients with reduced post-OLT survival. A prediction of outcome would improve preoperative patient selection and management.
Material And Methods:
One-hundred-and-thirty-three consecutive adult patients (63.9% men, mean age 47.4+/-11.2 years) given transplants between May 2004 and November 2005 at the Hannover Medical School were analysed retrospectively using univariate and multivariate methods.
Results:
Indications were: 27.1% viral hepatitis, 19.6% primary sclerosing cholangitis, 15.0% alcoholic liver disease, 7.5% metabolic liver disease, 6.8% primary biliary cirrhosis. Overall, 12-month patient survival was 81.2%. The mean MELD score at OLT was 14.5+/-5.3 and 12-month survival with MELD >16 (71.7%) and <16 (86.2%) differed significantly (p=0.041). Predictors of 12-month mortality included age (53.2+/-9.4 versus 46.1+/-11.2 years; p=0.004), lower cholinesterase (2.9+/-1.88 versus 3.7+/-2.02 kU/l; p=0.026) and serum creatinine (160.4+/-186.8 versus 77.7+/-31.6 micromol/l; p=0.007), with creatinine and cholinesterase as independent parameters. Based on these parameters, a model for predicting patient survival after liver transplantation was calculated and validated in a second independent cohort of 87 OLT patients. This score identified a high-risk group and a low-risk group (overall survival 47.4 versus 91.2%; p<0.001) with a specificity of 87.3% and a sensitivity of 68.75%.
Conclusion:
Age, pre-OLT creatinine and cholinesterase are predictors of short-term post-OLT survival and may be helpful as a bedside score in pre-OLT clinical management, outcome prediction and decision-making.
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