| Autor: |
Rodrigo E, Santos L, Piñera C, Ruiz San Millán JC, Quintela ME, Toyos C, Allende N, Gómez-Alamillo C, Arias M, Rodrigo, Emilio, Santos, Lidia, Piñera, Celestino, Millán, Juan Carlos Ruiz San, Quintela, Maria Estrella, Toyos, Carmen, Allende, Natalia, Gómez-Alamillo, Carlos, Arias, Manuel |
| Zdroj: |
Diabetes Care; Mar2012, Vol. 35 Issue 3, p471-473, 3p |
| Abstrakt: |
Objective: Our aim was to analyze the performance of two scores developed for predicting diabetes in nontransplant populations for identifying kidney transplant recipients with a higher new-onset diabetes mellitus after transplantation (NODAT) risk beyond the first year after transplantation.Research Design and Methods: We analyzed 191 kidney transplants, which had at least 1-year follow-up posttransplant. First-year posttransplant variables were collected to estimate the San Antonio Diabetes Prediction Model (SADPM) and Framingham Offspring Study-Diabetes Mellitus (FOS-DM) algorithm.Results: Areas under the receiver operating characteristic curve of FOS-DM and SADPM scores to predict NODAT were 0.756 and 0.807 (P < 0.001), respectively. FOS-DM and SADPM scores over 75 percentile (hazard ratio 5.074 and 8.179, respectively, P < 0.001) were associated with NODAT.Conclusions: Both scores can be used to identify kidney recipients at higher risk for NODAT beyond the first year. SADPM score detects some 25% of kidney transplant patients with an eightfold risk for NODAT. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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