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This study analyzes the predictors and survival outcomes of new-onset diabetes after transplant (NODAT) in liver transplant recipients using machine learning methods. Key findings indicate that older age, male sex, and obesity significantly increase the risk of NODAT, which adversely affects long-term survival, comparable to preexisting diabetes. The research highlights the need for closer monitoring and aggressive management of diabetes in liver transplant patients to improve their outcomes.

Author

mandez2015

Language

EN