title: Identifying appropriate recipients for CDC infectious risk donor kidneys.
abstract: Over 10% of deceased donors in 2011 met PHS/CDC criteria for infectious risk donor (IRD), and discard rates are significantly higher for kidneys from these donors. We hypothesized that patient phenotypes exist for whom the survival benefit outweighs the infectious risk associated with IRDs. A patient-oriented Markov decision process model was developed and validated, based on SRTR data and meta-analyses of window period risks among persons with IRD behaviors. The Markov model allows patients to see, for their phenotype, their estimated survival after accepting versus declining an IRD offer, graphed over a 5-year horizon. Estimated 5-year survival differences associated with accepting IRDs ranged from -6.4% to +67.3% for a variety of patient phenotypes. Factors most predictive of the survival difference with IRD transplantation were age, PRA, previous transplant, and the expected time until the next non-IRD deceased donor offer. This study suggests that survival benefit derived from IRD kidneys varies widely by patient phenotype. Furthermore, within the inherent limitations of model-based prediction, this study demonstrates that it is possible to identify those predicted to benefit from IRD kidneys, and illustrates how estimated survival curves based on a clinical decision can be presented to better inform patient and provider decision-making.
authors.affiliation: Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
authors.forename: E K H
authors.initials: EK
authors.lastname: Chow
authors.forename: A B
authors.initials: AB
authors.lastname: Massie
authors.forename: A D
authors.initials: AD
authors.lastname: Muzaale
authors.forename: A L
authors.initials: AL
authors.lastname: Singer
authors.forename: L M
authors.initials: LM
authors.lastname: Kucirka
authors.forename: R A
authors.initials: RA
authors.lastname: Montgomery
authors.forename: H P
authors.initials: HP
authors.lastname: Lehmann
authors.forename: D L
authors.initials: DL
authors.lastname: Segev
mesh_terms: D002487:Centers for Disease Control and Prevention, U.S. / Q000706:statistics & numerical data*; D003661:Decision Support Techniques; D046148:Donor Selection / Q000379:methods*; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D007239:Infections / Q000453:epidemiology / Q000635:transmission*; D016030:Kidney Transplantation / Q000401:mortality*; D011634:Public Health; D012307:Risk Factors; D015996:Survival Rate / Q000639:trends; D014019:Tissue Donors; D014481:United States / Q000453:epidemiology