Usefulness of the KDPI in Spain: A comparison with donor age and definition of standard/expanded criteria donor.

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Title: Usefulness of the KDPI in Spain: A comparison with donor age and definition of standard/expanded criteria donor.
Alternate Title: Utilidad del índice KDPI en España: una comparación con la edad del donante y la definición de donante con criterios de selección estándar/ampliados.
Authors: Arias-Cabrales, Carlos1,2, Pérez-Sáez, María José1,2, Redondo-Pachón, Dolores1,2, Buxeda, Anna1,2, Burballa, Carla1,2, Bermejo, Sheila1,2, Sierra, Adriana1,2, Mir, Marisa1,2, Zapatero, Ana1,2, Crespo, Marta1,2, Pascual, Julio1,2, Burón, Andrea1,2,3,4
Source: Nefrologia. 2018, Vol. 38 Issue 5, p503-513. 11p.
Subjects: KIDNEY transplantation, HEALTH outcome assessment, ORGAN donors, GRAFT rejection -- Risk factors, MEDICAL care
Geographic Terms: SPAIN
Abstract (English): Introduction: Kidney donor shortage requires expanding donor selection criteria, as well as use of objective tools to minimize the percentage of discarded organs. Some donor pretransplant variables such as age, standard/expanded criteria donor (SCD/ECD) definition and calculation of the Kidney Donor Profile Index (KDPI), have demonstrated correlations with patient and graft outcomes. We aimed to establish the accuracy of the three models to determine the prognostic value of kidney transplantation (KT) major outcomes. Material and methods: We performed a retrospective study in deceased donor KTs at our institution. Unadjusted Cox and Kaplan--Meier survival, and multivariate Cox analyses were fitted to analyze the impact of donor age, SCD/ECD and KDPI on outcomes. Results: 389 KTs were included. Mean donor age was 53.6 ± 15.2 years; 163 (41.9%) came from ECD; mean KDPI was 69.4 ± 23.4%. Median follow-up was 51.9 months. The unadjusted Cox and Kaplan--Meier showed that the three prognostic variables of interest were related to increased risk of patient death, graft failure and death-censored graft failure. However, in the multivariate analysis only KDPI was related to a higher risk of graft failure (HR 1.03 [95% CI 1.01-1.05]; p = 0.014). Conclusions: SCD/ECD classification did not provide significant prognostic information about patient and graft outcomes. KDPI was linearly related to a higher risk of graft failure, providing a better assessment. More studies are needed before using KDPI as a tool to discard or accept kidneys for transplantation. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): Introducción: La escasez de donantes de riñón requiere una ampliación de los criterios de selección de donantes, así como el uso de herramientas objetivas para minimizar el porcentaje de órganos descartados. Algunas variables pretrasplante del donante, como la edad, la definición de donante con criterios de selección estándar/ampliados (standard/expanded criteria donor [SCD/ECD]) y el cálculo del índice del perfil de donante renal (Kidney Donor Profile Index [KDPI]) han demostrado correlación con los resultados del paciente y el injerto. Nuestro objetivo fue evaluar la precisión de 3 modelos diferentes para determinar el valor pronostico en los resultados del trasplante renal. Materiales y métodos: Llevamos a cabo un estudio retrospectivo de TR de donantes fallecidos en nuestro centro. Se realizó un analisis de supervivencia mediante curvas de Kaplan-Meir y Cox no ajustado, ai como un analisis multivariante de Cox para analizar el impacto de la edad del donante, la definición SCD/ECD y el índice KDPI sobre los resultados. Resultados: Se incluyeron 389 TR. La media de edad de los donantes era de 53,6 ± 15,2 años; 163 (41,9%) procedían de donantes ECD; el índice KDPI medio era de 69,4 ± 23,4%. La mediana de seguimiento era de 51,9 meses. Los análisis de Kaplan-Meier y de Cox no ajustado mostraron que las 3 variables pronósticas de interés estaban relacionadas con un mayor riesgo de muerte del paciente, fracaso del injerto y fracaso del injerto censurado por la muerte. Sin embargo, en el análisis multivariable solamente el índice KDPI estuvo relacionado con un mayor riesgo de fracaso del injerto (HR: 1,03 [IC 95%: 1,01-1,05]; p = 0,014). Conclusiones: La clasificación SCD/ECD no proporcionó información pronóstica significativa sobre los desenlaces del paciente y el injerto. El índice KDPI estuvo linealmente relacionado con un mayor riesgo de fracaso del injerto, por lo que ofrecía una mejor evaluación. Es necesario realizar más estudios antes de usar el índice KDPI como herramienta para descartar o aceptar riñones para trasplante. [ABSTRACT FROM AUTHOR]
Copyright of Nefrologia is the property of Revista Nefrologia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Usefulness of the KDPI in Spain: A comparison with donor age and definition of standard/expanded criteria donor.
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  Data: Utilidad del índice KDPI en España: una comparación con la edad del donante y la definición de donante con criterios de selección estándar/ampliados.
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  Data: <searchLink fieldCode="JN" term="%22Nefrologia%22">Nefrologia</searchLink>. 2018, Vol. 38 Issue 5, p503-513. 11p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22KIDNEY+transplantation%22">KIDNEY transplantation</searchLink><br /><searchLink fieldCode="DE" term="%22HEALTH+outcome+assessment%22">HEALTH outcome assessment</searchLink><br /><searchLink fieldCode="DE" term="%22ORGAN+donors%22">ORGAN donors</searchLink><br /><searchLink fieldCode="DE" term="%22GRAFT+rejection+--+Risk+factors%22">GRAFT rejection -- Risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22MEDICAL+care%22">MEDICAL care</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22SPAIN%22">SPAIN</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: Introduction: Kidney donor shortage requires expanding donor selection criteria, as well as use of objective tools to minimize the percentage of discarded organs. Some donor pretransplant variables such as age, standard/expanded criteria donor (SCD/ECD) definition and calculation of the Kidney Donor Profile Index (KDPI), have demonstrated correlations with patient and graft outcomes. We aimed to establish the accuracy of the three models to determine the prognostic value of kidney transplantation (KT) major outcomes. Material and methods: We performed a retrospective study in deceased donor KTs at our institution. Unadjusted Cox and Kaplan--Meier survival, and multivariate Cox analyses were fitted to analyze the impact of donor age, SCD/ECD and KDPI on outcomes. Results: 389 KTs were included. Mean donor age was 53.6 ± 15.2 years; 163 (41.9%) came from ECD; mean KDPI was 69.4 ± 23.4%. Median follow-up was 51.9 months. The unadjusted Cox and Kaplan--Meier showed that the three prognostic variables of interest were related to increased risk of patient death, graft failure and death-censored graft failure. However, in the multivariate analysis only KDPI was related to a higher risk of graft failure (HR 1.03 [95% CI 1.01-1.05]; p = 0.014). Conclusions: SCD/ECD classification did not provide significant prognostic information about patient and graft outcomes. KDPI was linearly related to a higher risk of graft failure, providing a better assessment. More studies are needed before using KDPI as a tool to discard or accept kidneys for transplantation. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: Introducción: La escasez de donantes de riñón requiere una ampliación de los criterios de selección de donantes, así como el uso de herramientas objetivas para minimizar el porcentaje de órganos descartados. Algunas variables pretrasplante del donante, como la edad, la definición de donante con criterios de selección estándar/ampliados (standard/expanded criteria donor [SCD/ECD]) y el cálculo del índice del perfil de donante renal (Kidney Donor Profile Index [KDPI]) han demostrado correlación con los resultados del paciente y el injerto. Nuestro objetivo fue evaluar la precisión de 3 modelos diferentes para determinar el valor pronostico en los resultados del trasplante renal. Materiales y métodos: Llevamos a cabo un estudio retrospectivo de TR de donantes fallecidos en nuestro centro. Se realizó un analisis de supervivencia mediante curvas de Kaplan-Meir y Cox no ajustado, ai como un analisis multivariante de Cox para analizar el impacto de la edad del donante, la definición SCD/ECD y el índice KDPI sobre los resultados. Resultados: Se incluyeron 389 TR. La media de edad de los donantes era de 53,6 ± 15,2 años; 163 (41,9%) procedían de donantes ECD; el índice KDPI medio era de 69,4 ± 23,4%. La mediana de seguimiento era de 51,9 meses. Los análisis de Kaplan-Meier y de Cox no ajustado mostraron que las 3 variables pronósticas de interés estaban relacionadas con un mayor riesgo de muerte del paciente, fracaso del injerto y fracaso del injerto censurado por la muerte. Sin embargo, en el análisis multivariable solamente el índice KDPI estuvo relacionado con un mayor riesgo de fracaso del injerto (HR: 1,03 [IC 95%: 1,01-1,05]; p = 0,014). Conclusiones: La clasificación SCD/ECD no proporcionó información pronóstica significativa sobre los desenlaces del paciente y el injerto. El índice KDPI estuvo linealmente relacionado con un mayor riesgo de fracaso del injerto, por lo que ofrecía una mejor evaluación. Es necesario realizar más estudios antes de usar el índice KDPI como herramienta para descartar o aceptar riñones para trasplante. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Nefrologia is the property of Revista Nefrologia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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