title: Histologic assessment of donor kidneys and graft outcome: multivariate analyses.
abstract: We performed a multivariate analysis to evaluate the importance of histologic parameters in donor kidney biopsies as predictors of graft outcome.
  
  
  METHODS
  Wedge protocol biopsies from a single center were analyzed for glomerulosclerosis (GS), interstitial fibrosis (IF), tubular atrophy (TA), arteriosclerosis (AS), and arteriolar hyalinosis (AH). Alterations were quantified as percentage (GS, IF) or semiquantified according to Banff criteria (IF, TA, AS, AH). We calculated creatinine clearance (CrCl) at 1, 2, and 3 years posttransplant. Donor data included age, gender, and type: non-heart-beating donor or brain dead donors. Recipient data included age, gender, cold ischemia time, number of HLA mismatches, peak level of the panel reactive antibody (PRA), number of acute rejection episodes (ARE), and presence or absence of cytomegalovirus (CMV) disease. Univariate and multivariate analyses were performed. Follow-up range was 1 to 4.2 years.
  
  
  RESULTS
  GS, IF, TA, and AH were associated with graft survival in the multivariate analysis. The histologic parameters were associated with CrCl at several posttransplant time intervals, but the significance of association was lost in the multivariate analysis. Donor age showed a better correlation with graft function. In the univariate analyses adjusting for donor age, only IF and AH were associated with graft function.
  
  
  CONCLUSIONS
  Histologic parameters showed a modest association with graft function. In our study, donor age is the better predictor of graft function. IF and AH may be similar to or better than GS as predictors of graft outcome.
authors.affiliation: Department of Pathology, University of Antioguia, Carrera SID No. 62-29, Medellin, Antiquia, Colombia. luisfer_uda@yahoo.com
authors.forename: L F
authors.initials: LF
authors.lastname: Arias
authors.forename: J
authors.initials: J
authors.lastname: Blanco
authors.forename: A
authors.initials: A
authors.lastname: Sanchez-Fructuoso
authors.forename: D
authors.initials: D
authors.lastname: Prats
authors.forename: E
authors.initials: E
authors.lastname: Duque
authors.forename: M
authors.initials: M
authors.lastname: Sáiz-Pardo
authors.forename: J
authors.initials: J
authors.lastname: Ruiz
authors.forename: A
authors.initials: A
authors.lastname: Barrientos
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D002102:Cadaver; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007668:Kidney / Q000166:cytology / Q000502:physiology; D007674:Kidney Diseases / Q000145:classification / Q000601:surgery*; D016030:Kidney Transplantation / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D013997:Time Factors; D014019:Tissue Donors; D016896:Treatment Outcome