Prediction at First Year of Incident New-Onset Diabetes After Kidney Transplantation by Risk Prediction Models  

Oleh:

Rodrigo, Emilio ; Pinera, Celestino ; Santos, Lidia ; Millan, Juan Carlos Ruiz San ; Aritonang, John V.L.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Diabetes Care vol. 35 no. 03 (Mar. 2012), page 471-473 .
Topik: Clinical Care; Nutrition Diabetes

Ketersediaan

Perpustakaan FK Nomor Panggil: D05.K Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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.

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