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A tool for decision-making in kidney transplant candidates with poor prognosis to receive deceased donor transplantation in the United States.
Schold, Jesse D; Huml, Anne M; Poggio, Emilio D; Reese, Peter P; Mohan, Sumit.
Afiliación
  • Schold JD; Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA; Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA. Electronic address: scholdj@ccf.org.
  • Huml AM; Department of Kidney Medicine, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Poggio ED; Department of Kidney Medicine, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Reese PP; Renal Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Mohan S; Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA; The Columbia University Renal Epidemiology Group, Columbia University, New York, New York, USA.
Kidney Int ; 102(3): 640-651, 2022 09.
Article en En | MEDLINE | ID: mdl-35760150
The primary outcomes for kidney transplant candidates are receipt of deceased or living donor transplant, death or removal from the waiting list. Here, we conducted a retrospective analysis of national Scientific Registry of Transplant Recipients data to evaluate outcomes for 208,717 adult kidney transplant candidates following the 2014 Kidney Allocation System in the United States. Competing risks models were utilized to evaluate Time to Equivalent Risk (TiTER) of deceased donor transplantation (DDTX) and death versus waitlist removal. We also evaluated TiTER based on kidney donor profile index (KDPI) and donor age. For all groups, the cumulative incidence of DDTX was initially higher from time of listing than death or waitlist removal. However, following accrued time on the waiting list, the cumulative incidence of death or waitlist removal exceeded DDTX for certain patient groups, particularly older, diabetic, blood type B and O and shorter pre-listing dialysis time. TiTER for all candidates aged 65-69 averaged 41 months and for 70 and older patients 28 months. Overall, 39.6% of candidates were in risk groups with TiTER under 72 months and 18.5% in groups with TiTER under 24 months. Particularly for older candidates, TiTER for kidneys was substantially shorter for younger donors or lower KDPI. Thus, our findings reveal that a large proportion of wait-listed patients in the United States have poor prognoses to ever undergo DDTX and our data may improve shared decision-making for candidates at time of waitlist placement. Hence, for specific patient groups, TiTER may be a useful tool to disseminate and quantify benefits of accepting relatively high risk donor organs.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Obtención de Tejidos y Órganos / Trasplante de Riñón Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans País/Región como asunto: America do norte Idioma: En Revista: Kidney Int Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Obtención de Tejidos y Órganos / Trasplante de Riñón Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans País/Región como asunto: America do norte Idioma: En Revista: Kidney Int Año: 2022 Tipo del documento: Article