Risk factors for development of new-onset diabetes mellitus in pediatric renal transplant recipients: an analysis of the OPTN/UNOS database. 2010

Hung-Tien Kuo, and Neda Poommipanit, and Marcelo Sampaio, and Pavani Reddy, and Yong W Cho, and Suphamai Bunnapradist
Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.

BACKGROUND The objective of this study was to identify the risk factors for new-onset diabetes mellitus (NODM) after kidney transplant in pediatric renal transplant recipients using Organ Procurement Transplant Network/United Network of Organ Sharing database. METHODS A total of 2726 nondiabetic primary kidney transplant recipients (age 2-20 years, transplanted between July 2004 and December 2007) in the Organ Procurement Transplant Network/United Network of Organ Sharing database as of August 2008 with at least one follow-up report were included. We examined the risk factors for NODM using multivariate Cox regression analysis using the time to NODM reported as a time-varying endpoint. In recipients with functional graft at 1 year after transplant, the graft survivals during subsequent 24 months were compared according to the presence of NODM within first year of transplant. RESULTS NODM was reported in 4.6% (median follow-up time: 693 days). Independent risk factors for NODM included increased age (>10 years vs. <10 years, hazard ratio [HR]=2.143, P=0.015), abnormal body mass index percentile (<5% or >85% vs. 5%-85%, HR=1.697, P=0.01), and steroid use at discharge (yes vs. no, HR=3.573, P=0.03). Living donor transplant was associated with a decreased risk of NODM (living vs. deceased, HR=0.629, P=0.05). NODM within first year of transplant was not associated with inferior graft survival during subsequent 24 months. CONCLUSIONS Some of the identified risk factors for NODM are potentially modifiable, including abnormal body mass index percentile and the use of steroid. Prospective clinical trials are needed to assess whether modifying these risk factors will prevent NODM.

UI MeSH Term Description Entries
D008297 Male Males
D008487 Medical History Taking Acquiring information from a patient on past medical conditions and treatments. Medical History, Previous,Past Medical History, Family,Previous Medical History,Family Health History,Family History, Health,Family History, Medical,Family Medical History,History Taking, Medical,Family Health Histories,Family Medical Histories,Health Family Histories,Health Family History,Health History, Family,History, Previous Medical,Medical Family Histories,Medical Family History,Medical Histories, Previous,Medical History, Family,Previous Medical Histories
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D003920 Diabetes Mellitus A heterogeneous group of disorders characterized by HYPERGLYCEMIA and GLUCOSE INTOLERANCE.
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor

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