title: Kidney donation and transplantation in Eurotransplant 2006-2007: minimizing discard rates by using a rescue allocation policy.
abstract: BACKGROUND
  All organ exchange organizations are challenged to maximize the utilization rate of all donors.
  
  
  OBJECTIVE
  To investigate the benefit of a rescue allocation policy and to study the impact of donor factors on the risk of kidney discard.
  
  
  METHODS
  All 4057 donors with kidneys offered for allocation to Eurotransplant between 2006 and 2007 were included. Allocation was patient-oriented, based on a point-score system including recipient and donor factors. If an organ offer was rejected 5 times for medical reasons, allocation was switched to rescue allocation (ie, the organ was then offered in a center-oriented way). A logistic regression model was built to test whether donor factors were predictors of rescue allocation or kidney discard.
  
  
  RESULTS
  Rescue allocation was used for 665 donors (16.4%); within this group, transplant rate was 54.3%, resulting in a donor discard rate of 304 donors (7.5% of total study group). The multivariate model showed that rescue allocation was used significantly more for kidneys from child donors and donors with a high creatinine level. Moreover, testing positive for hepatitis B surface antigen or antibody to hepatitis C virus was associated with an increased probability of rescue allocation. Kidney discard was significantly associated with donation after cardiac death, donor age, serum creatinine level, history of diabetes, and history of hepatitis.
  
  
  CONCLUSIONS
  Rescue allocation is effective in lowering donor discard rates. Even with rescue allocation, several donor factors were significantly associated with a higher discard rate. Use of liberal donor criteria and a rescue allocation policy can reduce kidney discards and thus shorten the waiting list for kidney transplantation.
authors.affiliation: Eurotransplant International Foundation, 2301 CH Leiden, The Netherlands.
authors.forename: Maurits T
authors.initials: MT
authors.lastname: Vinkers
authors.forename: Jacqueline M
authors.initials: JM
authors.lastname: Smits
authors.forename: Ineke C
authors.initials: IC
authors.lastname: Tieken
authors.forename: Jan
authors.initials: J
authors.lastname: de Boer
authors.forename: Dirk
authors.initials: D
authors.lastname: Ysebaert
authors.forename: Axel O
authors.initials: AO
authors.lastname: Rahmel
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D017598:Efficiency, Organizational; D005060:Europe; D005260:Female; D006801:Humans; D016030:Kidney Transplantation / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D018579:Patient Selection; D040841:Resource Allocation / Q000379:methods*; D014019:Tissue Donors / Q000145:classification* / Q000706:statistics & numerical data; D009927:Tissue and Organ Procurement / Q000458:organization & administration*