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

被引：31

作者：

Rodrigo, Emilio ^{[1
]}

Santos, Lidia ^{[2
]}

Pinera, Celestino ^{[1
]}

Ruiz San Millan, Juan Carlos ^{[1
]}

Estrella Quintela, Maria ^{[1
]}

Toyos, Carmen ^{[1
]}

Allende, Natalia ^{[1
]}

Gomez-Alamillo, Carlos ^{[1
]}

Arias, Manuel ^{[1
]}

机构：

[1] Univ Cantabria, Hosp Marques de Valdecilla, ISCIII REDINREN 06 16, Fdn Marques de Valdecilla IFIMAV,Nephrol Dept, E-39005 Santander, Spain

[2] Rainha Santa Isabel Hosp, Dept Nephrol, Torres Novas, Portugal

来源：

DIABETES CARE | 2012年 / 35卷 / 03期

关键词：

CARDIOVASCULAR RISK; MELLITUS;

D O I：

10.2337/dc11-2071

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页码：471 / 473

页数：3

共 10 条

[1] Pretransplant Risk Score for New-Onset Diabetes After Kidney Transplantation [J].