Abstract:
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.
journal_name
Diabetes Carejournal_title
Diabetes careauthors
Rodrigo E,Santos L,Piñera C,Millán JC,Quintela ME,Toyos C,Allende N,Gómez-Alamillo C,Arias Mdoi
10.2337/dc11-2071subject
Has Abstractpub_date
2012-03-01 00:00:00pages
471-3issue
3eissn
0149-5992issn
1935-5548pii
dc11-2071journal_volume
35pub_type
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