Use of Imputation and Decision Modeling to Improve Diagnosis and Management of Patients at Risk for New-Onset Diabetes After Transplantation

Vidit N. Munshi; Soroush Saghafian; Curtiss B. Cook; Sumhith Veda Aradhyula; Harini A. Chakkera

doi:10.12659/AOT.928624

16 March 2021 : Original article

Use of Imputation and Decision Modeling to Improve Diagnosis and Management of Patients at Risk for New-Onset Diabetes After Transplantation

Vidit N. Munshi^1ACDEF*, Soroush Saghafian^2AEG, Curtiss B. Cook^3BE, Sumhith Veda Aradhyula^2C, Harini A. Chakkera^4BE

DOI: 10.12659/AOT.928624

Ann Transplant 2021; 26:e928624

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Figure 1 A Markov Chain Model of NODAT. Graft rejection state is possible for all 3 organs; Dialysis only represents kidney transplant recipients; dead state can be reached from any of the other 5 states.

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Use of Imputation and Decision Modeling to Improve Diagnosis and Management of Patients at Risk for New-Onset Diabetes After Transplantation

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