External validation of the estimated posttransplant survival score for allocation of deceased donor kidneys in the United States

American Journal of Transplantation

Volumn 14, Issue 8, 2014, Pages 1922-1926

  Clayton, P A ^a,b,c   McDonald, S P ^a,d   Snyder, J J ^e   Salkowski, N ^e   Chadban, S J ^a,b,c  

^a Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry   (Australia)

^b ROYAL PRINCE ALFRED HOSPITAL   (Australia)

^c UNIVERSITY OF SYDNEY   (Australia)

^d UNIVERSITY OF ADELAIDE   (Australia)

^e MINNEAPOLIS MEDICAL RESEARCH FOUNDATION   (United States)

Author keywords

Deceased donor; kidney allocation; kidney transplantation; patient survival

Indexed keywords

ADULT; AGE; ARTICLE; AUSTRALIA AND NEW ZEALAND; CADAVER DONOR; EXTERNAL VALIDITY; FEMALE; FOLLOW UP; GRAFT SURVIVAL; HUMAN; HUMAN TISSUE; HYPERTENSION; KIDNEY DONOR; KIDNEY GRAFT; KIDNEY TRANSPLANTATION; MALE; PATIENT RISK; POSTTRANSPLANT SURVIVAL SCORE; PRIORITY JOURNAL; REGISTER; RENAL GRAFT DYSFUNCTION; RISK FACTOR; SCORING SYSTEM; SURVIVAL; UNITED STATES; VALIDATION STUDY; ALGORITHM; AUSTRALIA; DONOR; IMMUNOLOGY; KAPLAN MEIER METHOD; MIDDLE AGED; MORTALITY; NEW ZEALAND; PROPORTIONAL HAZARDS MODEL; RENAL INSUFFICIENCY; STATISTICAL MODEL; TREATMENT OUTCOME;

HLA DR ANTIGEN;

ADULT; AGE FACTORS; ALGORITHMS; AUSTRALIA; FEMALE; FOLLOW-UP STUDIES; HLA-DR ANTIGENS; HUMANS; KAPLAN-MEIER ESTIMATE; KIDNEY TRANSPLANTATION; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEW ZEALAND; PROPORTIONAL HAZARDS MODELS; REGISTRIES; RENAL INSUFFICIENCY; TISSUE DONORS; TREATMENT OUTCOME; UNITED STATES;

EID: 84904673638     PISSN: 16006135     EISSN: 16006143     Source Type: Journal    
DOI: 10.1111/ajt.12761     Document Type: Article

References (9)

1. Proposal to substantially revise the national kidney allocation system. Organ Procurement and Transplantation Network, 2012, pp. 1-59. Available at: http://optn.transplant.hrsa.gov/PublicComment/pubcommentPropSub311.pdf. Accessed August 22, 2013.
2. Rao PS, Schaubel DE, Guidinger MK, et al. A comprehensive risk quantification score for deceased donor kidneys: The kidney donor risk index. Transplantation 2009; 88: 231-236.
3. OPTN policy 3.5-Allocation of deceased kidneys. United Network for Organ Sharing, 2013, pp. 1-33. Available at: http://optn.transplant.hrsa.gov/ PoliciesandBylaws2/policies/pdfs/policy7.pdf. Accessed August 26, 2013.
4. Harrell FEJ, Califf RM, Pryor DB, Lee KL., Evaluating the yield of medical tests. J Am Med Assoc 247: 2543-2546.
5. Newson R., SOMERSD: Stata module to calculate Kendall's tau-a, Somers'D and median differences. Statistical Software Components, Boston College Department of Economics, 1998.
6. Organ Procurement and Transplantation Network (OPTN) and Scientific Registry of Transplant Recipients (SRTR). OPTN/SRTR 2011 annual data report. Rockville, MD: Department of Health and Human Services Health Resources and Services Administration, Healthcare Systems; Bureau, Division of Transplantation, 2012.
7. Altman DG, Royston P., What do we mean by validating a prognostic model ? Stat Med 2000; 19: 453-473.
8. Clayton P., 35th report. Chapter 9. Kidney donation. Australia and New Zealand Dialysis and Transplant Registry, 2013, pp. 1-7. Available at: http://www.anzdata.org.au. Accessed April 22, 2014.
9. OPTN/UNOS concepts for kidney allocation. Organ Procurement and Transplantation Network, 2011, pp. 1-40. Available at: http://optn.transplant. hrsa.gov/SharedContentDocuments/KidneyConceptDocument.PDF. Accessed April 4, 2011.