The performance of two models to predict new-onset diabetes after transplantation (NODAT) has been analyzed in 191 kidney recipients with at least 1-year follow-up after transplantation. The areas under the receiver operating characteristic curve for the Framingham Offspring Study–Diabetes Mellitus algorithm and San Antonio Diabetes Prediction Model to predict NODAT were 0.756 and 0.807, respectively. Patients in the top quartile of both scores had a significantly increased risk of NODAT. As well as having good discrimination, both models were well calibrated to predict NODAT.
ORIGINAL RESEARCH PAPER
Rodrigo, E. et al. Prediction at first year of incident new onset diabetes after kidney transplantation by risk prediction models. Diabetes Care doi:10.2337/dc11-2071
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Two risk prediction models identify patients at risk of NODAT. Nat Rev Nephrol 8, 192 (2012). https://doi.org/10.1038/nrneph.2012.21
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DOI: https://doi.org/10.1038/nrneph.2012.21
