Predicting Kidney Transplantation Outcomes from Donor and Recipient Characteristics at Time Zero: Development of a Mobile Application for Nephrologists.

(1) Background: We report on the development of a predictive tool that can estimate kidney transplant survival at time zero. (2) Methods: This was an observational, retrospective study including 5078 transplants. Death-censored graft and patient survivals were calculated. (3) Results: Graft loss was associated with donor age (hazard ratio [HR], 1.021, 95% confidence interval [CI] 1.018-1.024, p < 0.001), uncontrolled donation after circulatory death (DCD) (HR 1.576, 95% CI 1.241-2.047, p < 0.001) and controlled DCD (HR 1.567, 95% CI 1.372-1.812, p < 0.001), panel reactive antibody percentage (HR 1.009, 95% CI 1.007-1.011, p < 0.001), and previous transplants (HR 1.494, 95% CI 1.367-1.634, p < 0.001). Patient survival was associated with recipient age (> 60 years, HR 5.507, 95% CI 4.524-6.704, p < 0.001 vs. < 40 years), donor age (HR 1.019, 95% CI 1.016-1.023, p < 0.001), dialysis vintage (HR 1.0000263, 95% CI 1.000225-1.000301, p < 0.01), and male sex (HR 1.229, 95% CI 1.135-1.332, p < 0.001). The C-statistics for graft and patient survival were 0.666 (95% CI: 0.646, 0.686) and 0.726 (95% CI: 0.710-0.742), respectively. (4) Conclusions: We developed a mobile app to estimate survival at time zero, which can guide decisions for organ allocation.

¿Predice el Kidney Donor Profile Index (KDPI) la supervivencia del injerto y del paciente en una población española? / Does the Kidney Donor Profile Index (KDPI) predict graft and patient survival in a Spanish population?

ANTECEDENTES Y OBJETIVO: El Kidney Donor Profile Index (KDPI), junto a otras variables del donante y receptor, puede optimizar el proceso de asignación de órganos. Este estudio tiene como objetivo comprobar la aplicabilidad del KDPI en una población española, así como su capacidad de predicción de la supervivencia del injerto y del paciente. MATERIALES Y MÉTODOS: Se estudiaron 2.734 trasplantes renales llevados a cabo en Andalucía entre enero de 2006 y diciembre de 2015. Los casos se agruparon por edad del receptor y cuartil del KDPI y se compararon entre grupos tanto la supervivencia del injerto como la del paciente. RESULTADOS: El KDPI discrimina con precisión los órganos óptimos de los subóptimos o marginales. Para receptores entre 18 y 59 años presenta un hazard ratio de 1,013 (p < 0,001) para supervivencia de injerto censurada para muerte y de 1,013 (p = 0,007) para supervivencia del paciente. Para receptores mayores de 60años el hazard ratio es de 1,016 (p = 0,001) para supervivencia del injerto censurada para muerte y de 1,011 (p = 0,007) para supervivencia del paciente. Un análisis multivariante identificó como factores predictivos de la supervivencia del injerto el KDPI, la edad del donante, la donación tras muerte circulatoria, la edad y el sexo del receptor. CONCLUSIONES: El KDPI permite relacionar, a grandes rasgos, las características del donante con la mayor o menor supervivencia del injerto y del paciente en la población española. No obstante, debido a ciertas limitaciones, convendría elaborar un índice propio a partir de los datos españoles o europeos. En este trabajo se identifican algunos factores predictivos de la supervivencia del injerto que pueden servir como primer paso en esa línea

BACKGROUND AND OBJECTIVE: The Kidney Donor Profile Index (KDPI), together with other donor and recipient variables, can optimise the organ allocation process. This study aims to check the feasibility of the KDPI for a Spanish population and its predictive ability of graft and patient survival. MATERIALS AND METHODS: Data from 2,734 kidney transplants carried out in Andalusia between January 2006 and December 2015 were studied. Cases were grouped by recipient age, categorised by KDPI quartile and both graft and patient survival were compared among groups. RESULTS: The KDPI accurately discriminated optimal organs from suboptimal or marginal ones. For adult recipients (aged: 18-59 years) it presents a hazard ratio of 1.013 (P < .001) for death-censored graft survival and of 1.013 (P = .007) for patient survival. For elderly recipients (aged: 60+ years), KDPI presented a hazard ratio of 1.016 (P = .001) for death-censored graft survival and of 1.011 (P = .007) for patient survival. A multivariate analysis identified the KDPI, donor age, donation after circulatory death, recipient age and gender as predictive factors of graft survival. CONCLUSIONS: The results obtained show that the KDPI makes it possible to relate the donor's characteristics with the greater or lesser survival of the graft and the patient in the Spanish population. However, due to certain limitations, a new index for Spain based on Spanish or European data should be created. In this study, some predictive factors of graft survival are identified that may serve as a first step in this path

Does the Kidney Donor Profile Index (KDPI) predict graft and patient survival in a Spanish population? / ¿Predice el Kidney Donor Profile Index (KDPI) la supervivencia del injerto y del paciente en una población española?

BACKGROUND AND OBJECTIVE: The Kidney Donor Profile Index (KDPI), together with other donor and recipient variables, can optimise the organ allocation process. This study aims to check the feasibility of the KDPI for a Spanish population and its predictive ability of graft and patient survival. MATERIALS AND METHODS: Data from 2,734 kidney transplants carried out in Andalusia between January 2006 and December 2015 were studied. Cases were grouped by recipient age, categorised by KDPI quartile and both graft and patient survival were compared among groups. RESULTS: The KDPI accurately discriminated optimal organs from suboptimal or marginal ones. For adult recipients (aged: 18-59years) it presents a hazard ratio of 1.013 (P<.001) for death-censored graft survival and of 1.013 (P=.007) for patient survival. For elderly recipients (aged: 60+years), KDPI presented a hazard ratio of 1.016 (P=.001) for death-censored graft survival and of 1.011 (P=.007) for patient survival. A multivariate analysis identified the KDPI, donor age, donation after circulatory death, recipient age and gender as predictive factors of graft survival. CONCLUSIONS: The results obtained show that the KDPI makes it possible to relate the donor's characteristics with the greater or lesser survival of the graft and the patient in the Spanish population. However, due to certain limitations, a new index for Spain based on Spanish or European data should be created. In this study, some predictive factors of graft survival are identified that may serve as a first step in this path.

Progression of urinary protein excretion after kidney transplantation: A marker for poor long-term prognosis.

INTRODUCTION: Post-transplantation proteinuria is a risk factor for graft failure. A progressive decline in renal graft function is a predictor for mortality in kidney transplant patients. OBJECTIVES: To assess the development and the progression of urinary protein excretion (UPE) in the first year post-transplant in recipients of kidney transplants and its effect on patient and graft outcomes. MATERIALS AND METHODS: We analysed 1815 patients with 24-h UPE measurements available at 3 and 12 months post-transplant. Patients were divided based on their UPE level: below 300 mg, 300-1000 mg and over 1000 mg (at 3 and 12 months), and changes over time were analysed. RESULTS: At 3 months, 65.7% had UPE below 300 mg/24 h, 29.6% 300-1000 mg/24 h and 4.7% over 1000 mg/24h. At one year, 71.6% had UPE below 300 mg/24 h, 24.1% 300-1000 mg/24 h and 4.4% over 1000 mg/24 h. In 208 patients (12%), the UPE progressed, in 1233 (70.5%) it remained stable and in 306 (17.5%) an improvement was observed. We found that the level of UPE influenced graft survival, particularly if a progression occurred. Recipient's age and renal function at one year were found to be predictive factors for mortality, while proteinuria and renal function were predictive factors for graft survival. CONCLUSIONS: Proteinuria after transplantation, essentially when it progresses, is a marker of a poor prognosis and a predictor for graft survival. Progression of proteinuria is associated with poorer renal function and lower graft survival rates.

Progression of urinary protein excretion after kidney transplantation: A marker for poor long-term prognosis / Progresión de la excreción urinaria de proteínas después del trasplante renal: un marcador de mal pronóstico a largo plazo

Introduction: Post-transplantation proteinuria is a risk factor for graft failure. A progressive decline in renal graft function is a predictor for mortality in kidney transplant patients. Objectives: To assess the development and the progression of urinary protein excretion (UPE) in the first year post-transplant in recipients of kidney transplants and its effect on patient and graft outcomes. Materials and methods: We analysed 1815 patients with 24-h UPE measurements available at 3 and 12 months post-transplant. Patients were divided based on their UPE level: below 300mg, 300–1000mg and over 1000mg (at 3 and 12 months), and changes over time were analysed. Results: At 3 months, 65.7% had UPE below 300mg/24h, 29.6% 300–1000mg/24h and 4.7% over 1000mg/24h. At one year, 71.6% had UPE below 300mg/24h, 24.1% 300–1000mg/24h and 4.4% over 1000mg/24h. In 208 patients (12%), the UPE progressed, in 1233 (70.5%) it remained stable and in 306 (17.5%) an improvement was observed. We found that the level of UPE influenced graft survival, particularly if a progression occurred. Recipient's age and renal function at one year were found to be predictive factors for mortality, while proteinuria and renal function were predictive factors for graft survival. Conclusions: Proteinuria after transplantation, essentially when it progresses, is a marker of a poor prognosis and a predictor for graft survival. Progression of proteinuria is associated with poorer renal function and lower graft survival rates (AU)

Introducción: La proteinuria después de un trasplante renal constituye un factor de riesgo para el fallo del injerto. Una disminución progresiva de la función del injerto renal es un predictor de la mortalidad en los pacientes trasplantados renales. Objetivos: Analizar la aparición y la progresión de una excreción urinaria de proteínas (EUP) en el primer año siguiente al trasplante en pacientes trasplantados renales, y su efecto sobre la evolución del paciente y del injerto. Material y métodos: Analizamos un total de 1815 pacientes en los que se dispuso de determinaciones de la EUP de 24 horas a los 3 y a los 12 meses del trasplante. Dividimos a los pacientes según el nivel de EUP, de la siguiente forma: inferior a 300mg, 300-1000mg y más de 1000mg (a los 3 y 12 meses), y analizamos los cambios a lo largo del tiempo. Resultados: A los 3 meses, el 65,7% presentaban una EUP inferior a 300mg/24h, el 29,6% 300-1000mg/24h y el 4,7% más de 1000mg/24h. A un año, el 71,6% tenían una EUP inferior a 300mg/24h, el 24,1% 300-1000mg/24h y el 4,4% más de 1000mg/24h. En 208 pacientes (12%), la EUP mostró una progresión, en 1233 (70,5%) se mantuvo estable y en 306 (17,5%) se observó una mejoría. Observamos que el nivel de EUP influía en la supervivencia del injerto, en especial si se producía una progresión. La edad y la función renal del receptor al año del trasplante fueron factores predictivos de la mortalidad, mientras que la proteinuria y la función renal lo fueron de la supervivencia del injerto. Conclusiones: La proteinuria después del trasplante, fundamentalmente cuando muestra una progresión, es un marcador de mal pronóstico y un factor predictivo de la supervivencia del injerto. La progresión de la proteinuria se asocia a una peor función renal y a una tasa de supervivencia del injerto inferior (AU)