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Abstract Background: Post-transplant infection is one of the main complications in the early stage of kidney transplantation. However, there is a lack of risk prediction tools to identify those at high risk of infection. Objective: To investigate the risk factors for invasive fungal infections (IFIs) after kidney transplantation in a single center in Guangxi region and to construct a predictive model.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
