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Transplantation ; 99(2): 360-6, 2015 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-25594552

RESUMEN

BACKGROUND: Most pediatric kidney transplant recipients eventually require retransplantation, and the most advantageous timing strategy regarding deceased and living donor transplantation in candidates with only 1 living donor remains unclear. METHODS: A patient-oriented Markov decision process model was designed to compare, for a given patient with 1 living donor, living-donor-first followed if necessary by deceased donor retransplantation versus deceased-donor-first followed if necessary by living donor (if still able to donate) or deceased donor (if not) retransplantation. Based on Scientific Registry of Transplant Recipients data, the model was designed to account for waitlist, graft, and patient survival, sensitization, increased risk of graft failure seen during late adolescence, and differential deceased donor waiting times based on pediatric priority allocation policies. Based on national cohort data, the model was also designed to account for aging or disease development, leading to ineligibility of the living donor over time. RESULTS: Given a set of candidate and living donor characteristics, the Markov model provides the expected patient survival over a time horizon of 20 years. For the most highly sensitized patients (panel reactive antibody > 80%), a deceased-donor-first strategy was advantageous, but for all other patients (panel reactive antibody < 80%), a living-donor-first strategy was recommended. CONCLUSIONS: This Markov model illustrates how patients, families, and providers can be provided information and predictions regarding the most advantageous use of deceased donor versus living donor transplantation for pediatric recipients.


Asunto(s)
Técnicas de Apoyo para la Decisión , Selección de Donante , Trasplante de Riñón/métodos , Donadores Vivos/provisión & distribución , Adolescente , Adulto , Factores de Edad , Niño , Simulación por Computador , Determinación de la Elegibilidad , Femenino , Supervivencia de Injerto , Antígenos HLA/inmunología , Histocompatibilidad , Humanos , Isoanticuerpos/sangre , Trasplante de Riñón/efectos adversos , Trasplante de Riñón/mortalidad , Masculino , Cadenas de Markov , Persona de Mediana Edad , Análisis Multivariante , Modelos de Riesgos Proporcionales , Sistema de Registros , Reoperación , Factores de Riesgo , Procesos Estocásticos , Factores de Tiempo , Resultado del Tratamiento , Estados Unidos , Listas de Espera , Adulto Joven
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