| Summary: | Phuong-Thu T Pham,1 Kari L Edling,2 Harini A Chakkera,3 Phuong-Chi T Pham,4 Phuong-Mai T Pham51Department of Medicine, Nephrology Division, Kidney Transplant Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; 2Department of Medicine, Division of Endocrinology, Diabetes and Hypertension, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; 3Department of Medicine, Nephrology Division Kidney Transplant Program, Mayo Clinic Hospital, Phoenix, AZ, USA; 4Department of Medicine, Nephrology Division, UCLA-Olive View Medical Center, Sylmar, CA, USA; 5Department of Medicine, Greater Los Angeles, Veterans Administration Health Care System, CA, USAAbstract: New-onset diabetes mellitus after transplantation (NODAT) is a serious and common complication following solid organ transplantation. NODAT has been reported in 2% to 53% of all solid organ transplants. Kidney transplant recipients who develop NODAT have variably been reported to be at increased risk of fatal and nonfatal cardiovascular events and other adverse outcomes including infection, reduced patient survival, graft rejection, and accelerated graft loss compared with those who do not develop diabetes. Limited clinical studies in liver, heart, and lung transplants similarly suggested that NODAT has an adverse impact on patient and graft outcomes. Early detection and management of NODAT must, therefore, be integrated into the treatment of transplant recipients. Studies investigating the best screening or predictive tool for identifying patients at risk for developing NODAT early after transplantation, however, are lacking. We review the clinical predictive values of fasting plasma glucose, oral glucose tolerance test, and A1C in assessing the risk for NODAT development and as a screening tool. Simple diabetes prediction models that incorporate clinical and/or metabolic risk factors (such as age, body mass index, hypertriglyceridemia, or metabolic syndrome) are also presented.Keywords: new-onset diabetes after transplantation, impaired fasting glucose, impaired glucose tolerance, oral glucose tolerance test, NODAT screening, diabetes prediction models
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