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Prognostic model for early acute rejection after liver transplantation
N Gómez-Manero1, J I Herrero, J Quiroga
1Liver Unit, Clínica Universitaria de Navarra, Av Pio XII SIN, 31008 Pamplona, Spain.
Summary
Identifying patients at high risk for early acute rejection after liver transplantation is crucial. A predictive model using recipient age, liver disease type, and Child
Area of Science:
- Transplantation Immunology
- Hepatology
- Medical Statistics
Background:
- Hepatic graft rejection is a frequent complication following liver transplantation (LT).
- Early acute rejection (EAR) occurs most commonly within the initial weeks post-LT.
- Identifying high-risk patients can optimize clinical management and post-transplant care.
Purpose of the Study:
- To identify predisposing factors for early acute rejection (EAR) after liver transplantation.
- To develop a predictive mathematical model for individual EAR risk assessment.
- To aid clinicians in stratifying patients based on their risk for EAR.
Main Methods:
- Retrospective analysis of 133 liver graft recipients on calcineurin inhibitors.
- Multivariate analysis to determine independent predictors of EAR.
- Development of a risk score incorporating recipient age, liver disease etiology, and Child's class.
Main Results:
- The incidence of EAR (<=45 days post-LT) was 35.3%.
- Recipient age, underlying liver disease (hepatitis C virus, immunologic, metabolic cirrhosis), and Child's class were independently associated with EAR.
- A validated risk score was developed to predict the probability of EAR.
Conclusions:
- Recipient age, liver disease etiology, and Child's class are significant predictors of EAR post-LT.
- The developed risk score can assist in predicting individual patient risk for early acute rejection.
- This model may facilitate personalized post-transplant monitoring strategies.