title: Pretransplant risk score for new-onset diabetes after kidney transplantation.
abstract: OBJECTIVE
  New-onset diabetes after kidney transplantation (NODAT) has adverse clinical and economic implications. A risk score for NODAT could help identify research subjects for intervention studies.
  
  
  METHODS
  We conducted a single-center retrospective cohort study using pretransplant clinical and laboratory measurements to construct a risk score for NODAT. NODAT was defined by hemoglobin A(1c) (HbA(1c)) ≥6.5%, fasting serum glucose ≥126 mg/dL, or prescribed therapy for diabetes within 1 year posttransplant. Three multivariate logistic regression models were constructed: 1) standard model, with both continuous and discrete variables; 2) dichotomous model, with continuous variables dichotomized at clinically relevant cut points; and 3) summary score defined as the sum of the points accrued using the terms from the dichotomous model.
  
  
  RESULTS
  A total of 316 subjects had seven pretransplant variables with P < 0.10 in univariate logistic regression analyses (age, planned corticosteroid therapy posttransplant, prescription for gout medicine, BMI, fasting glucose and triglycerides, and family history of type 2 diabetes) that were selected for multivariate models. Areas under receiver operating curves for all three models were similar (0.72, 0.71, and 0.70). A simple risk score calculated as the sum of points from the seven variables performed as well as the other two models in identifying risk of NODAT.
  
  
  CONCLUSIONS
  A risk score computed from seven simple pretransplant variables can identify risk of NODAT.
authors.affiliation: Division of Nephrology, Mayo Clinic, Scottsdale, Arizona, USA. chakkera.harini@mayo.edu
authors.forename: Harini A
authors.initials: HA
authors.lastname: Chakkera
authors.forename: E Jennifer
authors.initials: EJ
authors.lastname: Weil
authors.forename: Christine M
authors.initials: CM
authors.lastname: Swanson
authors.forename: Amylou C
authors.initials: AC
authors.lastname: Dueck
authors.forename: Raymond L
authors.initials: RL
authors.lastname: Heilman
authors.forename: Kunam S
authors.initials: KS
authors.lastname: Reddy
authors.forename: Khaled
authors.initials: K
authors.lastname: Hamawi
authors.forename: Hasan
authors.initials: H
authors.lastname: Khamash
authors.forename: Adyr A
authors.initials: AA
authors.lastname: Moss
authors.forename: David C
authors.initials: DC
authors.lastname: Mulligan
authors.forename: Nitin
authors.initials: N
authors.lastname: Katariya
authors.forename: William C
authors.initials: WC
authors.lastname: Knowler
mesh_terms: D000328:Adult; D003920:Diabetes Mellitus / Q000097:blood / Q000209:etiology*; D005260:Female; D006442:Glycated Hemoglobin / Q000378:metabolism; D006801:Humans; D016030:Kidney Transplantation / Q000009:adverse effects*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012307:Risk Factors
chemical_list: D006442:Glycated Hemoglobin