Reduced survival in patients who return to dialysis after kidney allograft failure.

BACKGROUND: The outcome of patients who return to dialysis after Kidney allograft failure (KAF) remains unclear. Our aim was to compare the outcome of KAF patients vs two different types of transplant naive incident dialysis (TNID) patients, those on the waiting list (WL) and those with a kidney transplant contraindication (KTC). METHODS: We performed an observational study using data from the Argentinian Dialysis Registry between 2005 and 2016. We compare mortality between KAF, WL, and KTC. RESULTS: We included 75 722 patients of which 2734 were KAF. Survival between the three cohorts (KAF vs WL (n = 14 630) vs KTC (n = 58 358) revealed a significant difference (log-rank test: P < .0001) indicating worse survival for KTC patients and best survival for WL. We found that KAF patients had as poor outcome as KTC patients after multivariate adjustment. Cox regression showed that age >65 years: HR: 1.845 (1.79-1.89) P < .0001, transient catheter: HR: 1.303 (1.26-1.34) P < .0001, diabetic: HR: 1.273 (1.22-1.31) P < .0001, hepatitis C: HR: 1.156 (1.09-1.22) P < .0001, and albumin: HR: 1.247 (1.21-1.28) P < .0001 were associated with mortality. CONCLUSION: Patients who return to dialysis after KAF have higher mortality than WL patients and similar to KTC patients.

Liver transplantation in adults with acute liver failure: Outcomes from the Argentinean Transplant Registry.

INTRODUCTION AND AIM: Liver transplantation (LT) for acute liver failure (ALF) still has a high early mortality. We aimed to evaluate changes occurring in recent years and identify risk factors for poor outcomes. MATERIAL AND METHODS: Data were retrospectively obtained from the Argentinean Transplant Registry from two time periods (1998-2005 and 2006-2016). We used survival analysis to evaluate risk of death. RESULTS: A total of 561 patients were listed for LT (69% female, mean age 39.5±16.4 years). Between early and later periods there was a reduction in wait-list mortality from 27% to 19% (p<0.02) and 1-month post-LT survival rates improved from 70% to 82% (p<0.01). Overall, 61% of the patients underwent LT and 22% died on the waiting list. Among those undergoing LT, Cox regression analysis identified prolonged cold ischemia time (HR 1.18 [1.02-1.36] and serum creatinine (HR 1.31 [1.01-1.71]) as independent risk factors of death post-LT. Etiologies of ALF were only available in the later period (N=363) with indeterminate and autoimmune hepatitis accounting for 28% and 26% of the cases, respectively. After adjusting for age, gender, private/public hospital, INR, creatinine and bilirubin, and considering LT as the competing event, indeterminate etiology was significantly associated with death (SHR 1.63 [1.06-2.51] and autoimmune hepatitis presented a trend to improved survival (SHR 0.61 [0.36-1.05]). CONCLUSIONS: Survival of patients with ALF on the waiting list and after LT has significantly improved in recent years. Indeterminate cause and autoimmune hepatitis were the most frequent etiologies of ALF in Argentina and were associated with mortality.

Results after the adoption of a MELD/PELD-based liver allocation policy in Argentina.

In July 2005, Argentina switched from a categorical liver allocation system to a MELD/PELD-based policy for patients with CLD. To analyze WL outcomes and survival after LT in children. From January 2000 to December 2010, 923 children were registered. Two consecutive five-yr periods were analyzed and compared: Era I (January 2000-July 2005) (n = 379) and Era II (July 2005-December 31, 2010) (n = 544). All data were prospectively collected and analyzed using the Kaplan-Meier method. After adopting the MELD/PELD system, WL registrations increased by 44% (from 379 to 544) and the number of LT increased by only 24% (from 278 to 365). However, three-month WL mortality rate (32% to 18%, p < 0.0001, HR 2.002 CI 95% 1.5-2.8) decreased significantly. No significant differences were observed between Era 1 and II in one-yr post-LT survival (77.5% vs. 84.1%, p = 0.3053) and in acute re-LT rate (9% vs. 5%, p = 0.1746). Under the MELD/PELD-based allocation system in Argentina, mortality on the WL significantly decreased in children with CLD without affecting post-LT survival, although reduced access to LT was observed.

Improved waiting-list outcomes in Argentina after the adoption of a model for end-stage liver disease-based liver allocation policy.

In July 2005, Argentina became the first country after the United States to introduce the Model for End-Stage Liver Disease (MELD) for organ allocation. In this study, we investigated waiting-list (WL) outcomes (n = 3272) and post-liver transplantation (LT) survival in 2 consecutive periods of 5 years before and after the implementation of a MELD-based allocation policy. Data were obtained from the database of the national institute for organ allocation in Argentina. After the adoption of the MELD system, there were significant reductions in WL mortality [28.5% versus 21.9%, P < 0.001, hazard ratio (HR) = 1.57, 95% confidence interval (CI) = 1.37-1.81] and total dropout rates (38.6% versus 29.1%, P < 0.001, HR = 1.31, 95% CI = 1.16-1.48) despite significantly less LT accessibility (57.4% versus 50.7%, P < 0.001, HR = 1.53, 95% CI = 1.39-1.68). The annual number of deaths per 1000 patient-years at risk decreased from 273 in 2005 to 173 in 2010, and the number of LT procedures per 1000 patient-years at risk decreased from 564 to 422. MELD and Model for End-Stage Liver Disease-Sodium scores were excellent predictors of 3-month WL mortality with c statistics of 0.828 and 0.857, respectively (P < 0.001). No difference was observed in 1-year posttransplant survival between the 2 periods (81.1% versus 81.3%). Although patients with a MELD score > 30 had lower posttransplant survival, the global accuracy of the score for predicting outcomes was poor, as indicated by a c statistic of only 0.523. Patients with granted MELD exceptions (158 for hepatocellular carcinoma and 52 for other reasons) had significantly higher access to LT (80.4%) in comparison with nonexception patients with equivalent listing priority (MELD score = 18-25; 54.6%, P < 0.001, HR = 0.49, 95% CI = 0.40-0.61). In conclusion, the adoption of the MELD model in Argentina has resulted in improved liver organ allocation without compromising posttransplant survival.

Temporal trends in hematopoietic stem cell transplantation in Argentina between 2009 and 2018: A collaborative study by GATMO-TC and INCUCAI.

INTRODUCTION: Hematopoietic stem cell transplantation is the only curative treatment for many disorders and international data shows a growing trend. METHOD: We aimed to evaluate the temporal trends in HSCT transplant rates in Argentina. A time-series analysis was performed for the period 2009 to 2018 using the national database from the National Central Coordinating Institute for Ablations and Implants. Crude and standardized transplant rates were calculated. A permutation joinpoint regression model analysis was used to identify significant changes over time. RESULTS: Altogether, 8,474 transplants were reported to INCUCAI by 28 centers (autologous 67.5%); the main indication was multiple myeloma (30%). The WHO age-sex standardized HSCT rates for the entire country were 153.3 HSCT/10 million inhabitants (95% CI 141.7-165.8) in 2009 and 260.1 HSCT/10 million inhabitants (95% CI 245.5-275.5) in 2018. There was a large gap in HSCT rates among the states and regions. The transplant rate was higher for autologous transplants throughout the years. Within the allogeneic group, the related donor transplant rate was higher than the unrelated donor transplant rate. The joinpoint regression analysis of HSCT rates for the whole country over time showed an observed annual percentage change of 6.3% (95% CI 5.4-7.3; p < 0.01). No changes were observed for unrelated donors during the study period. CONCLUSIONS: Age-sex standardized HSCT rates in Argentina are increasing, mainly due to autologous and family donor allogeneic transplants. A wide variation across the country was found, demonstrating differences in the access to transplantation among Argentine regions.

[COVID-19 infection in chronic dialysis patients in Argentina]. / Infección por COVID-19 en pacientes en diálisis crónica en Argentina.

The report of the preliminary data of the Argentine Registry of COVID in chronic dialysis is presented, from April 10, 2020 to April 9, 2021 and includes all dialysis centers in the country. In the study period, 36 918 prevalent patients on chronic dialysis were registered. COVID-19 infection was confirmed in 3709 patients (10% of prevalent patients), of which 1675 patients (45.2%) required hospitalization, and of these, 39% (550 patients) required ICU admission. 62% of those admitted to the ICU (339 patients) required mechanical ventilation (MV). 1307 patients died (35.24%). Multivariate analysis showed as factors associated with mortality from COVID in dialysis patients, age greater than 60 years (OR 2.6; 95% CI 2.2-3.1); diabetes (OR 1.5; 95% CI 1.3-1.8); time on dialysis greater than 55 months (OR 1.5; 95% CI 1.2-1.7); cerebrovascular disease (OR 1.6; 95% CI 1.1-2.3); neoplasia (OR 1.7; 95% CI 1.1-2.6); hospitalization requirement (OR 3.4; 95% CI 2.8-3.9); ICU admission (OR 1.8; 95% CI 1.3-2.5); need of MV (OR 11.8; 95% CI 6.9-20.2). The population on chronic dialysis in Argentina, as shown in the rest of the world, is highly vulnerable to COVID infection, showing a lethality 12 times higher than the general population. The measures implemented in dialysis units, patient care and their family environment, and above all priority vaccination are essential in this vulnerable population of patients.

Se presentan los datos preliminares del Registro Argentino de COVID en diálisis crónica, desde el 10 de abril de 2020 al 9 de abril 2021 que incluye todos los centros de diálisis crónica del país. En el período de estudio se registraron 36 918 pacientes prevalentes en diálisis crónica. La infección por COVID-19 fue confirmada en 3709 pacientes (10% prevalentes), de los cuales 1675 (45.2%) requirieron internación, y de éstos el 39% (550) internación en UTI. El 62% de los ingresados a UTI (339) requirió asistencia respiratoria mecánica (ARM). Fallecieron 1307 pacientes (35.24 %). El análisis multivariado, mostró como factores asociados a mortalidad por COVID en diálisis crónica, la edad mayor a 60 años (OR 2.6; IC 95% 2.2-3.1); la diabetes (OR 1.5; IC 95% 1.3-1.8); tiempo en diálisis mayor a 55 meses (OR 1.5; IC 95% 1.2-1.7); enfermedad cerebrovascular OR 1.6; IC 95% 1.1-2.3); neoplasia (OR 1.7; IC 95% 1.1-2.6); requerimiento de internación (OR 3.4; IC 95% 2.8-3.9); internación en UTI (OR 1.8; IC 95% 1.3-2.5); necesidad de ARM (OR 11.8; IC 95% 6.9-20.2). La población en diálisis crónica en Argentina, como se muestra en el resto del mundo, es altamente vulnerable a la infección COVID, mostrando una letalidad 12 veces mayor que la población general. Las medidas implementadas en las unidades de diálisis, los cuidados de los pacientes y su entorno familiar, y por sobre todo la vacunación prioritaria, son fundamentales en esta población vulnerable de pacientes.

Validation of the Kidney Donor Profile Index in Argentina.

Kidney Donor Profile Index (KDPI), derived from donor characteristics, was developed in the United States in an effort to devise an objective means of assessing donor organ suitability based on predicted graft survival. The objective of this study is to analyze the utility of KDPI to predict renal graft survival in Argentina. We conducted a retrospective national cohort study of adult patients who received a deceased donor renal transplantation in Argentina between January 2008 and December 2017. The graft survival was estimated according to the KDPI stratified by quartiles. A Kaplan-Meier analysis was used to calculate survival. A Cox regression was performed to estimate the probability of graft loss for each quart of the KDPI adjusted by receptor variables (age, diabetes, sex, and dialysis time) and cold ischemia time. In a Kaplan-Meier analysis, the graft survival decreases as the quartile of KDPI increases. Multivariate analysis shows that the increase in KDPI quartile and recipient's characteristics-such as age ≥60 years, diabetes, and dialysis time-were related to the probability of graft loss. In conclusion, the KDPI system could provide a guide to objectively assess the quality of organs offered for transplantation in Argentina.

Temporal trends in hematopoietic stem cell transplantation in Argentina between 2009 and 2018: A collaborative study by GATMO-TC and INCUCAI

Special Article Introduction Hematopoietic stem cell transplantation is the only curative treatment for many disorders and international data shows a growing trend. Method We aimed to evaluate the temporal trends in HSCT transplant rates in Argentina. A time-series analysis was performed for the period 2009 to 2018 using the national database from the National Central Coordinating Institute for Ablations and Implants. Crude and standardized transplant rates were calculated. A permutation joinpoint regression model analysis was used to identify significant changes over time. Results Altogether, 8,474 transplants were reported to INCUCAI by 28 centers (autologous 67.5%); the main indication was multiple myeloma (30%). The WHO age-sex standardized HSCT rates for the entire country were 153.3 HSCT/10 million inhabitants (95% CI 141.7-165.8) in 2009 and 260.1 HSCT/10 million inhabitants (95% CI 245.5-275.5) in 2018. There was a large gap in HSCT rates among the states and regions. The transplant rate was higher for autologous transplants throughout the years. Within the allogeneic group, the related donor transplant rate was higher than the unrelated donor transplant rate. The joinpoint regression analysis of HSCT rates for the whole country over time showed an observed annual percentage change of 6.3% (95% CI 5.4-7.3; p< 0.01). No changes were observed for unrelated donors during the study period. Conclusions Age-sex standardized HSCT rates in Argentina are increasing, mainly due to autologous and family donor allogeneic transplants. A wide variation across the country was found, demonstrating differences in the access to transplantation among Argentine regions.

Infección por COVID-19 en pacientes en diálisis crónica en Argentina / COVID-19 infection in chronic dialysis patients in Argentina

Resumen Se presentan los datos preliminares del Registro Argentino de COVID en diálisis crónica, desde el 10 de abril de 2020 al 9 de abril 2021 que incluye todos los centros de diálisis crónica del país. En el período de estudio se registraron 36 918 pacientes prevalentes en diálisis crónica. La infección por COVID-19 fue confirmada en 3709 pacientes (10% prevalentes), de los cuales 1675 (45.2%) requirieron internación, y de éstos el 39% (550) internación en UTI. El 62% de los ingresados a UTI (339) requirió asistencia respiratoria me cánica (ARM). Fallecieron 1307 pacientes (35.24 %). El análisis multivariado, mostró como factores asociados a mortalidad por COVID en diálisis crónica, la edad mayor a 60 años (OR 2.6; IC 95% 2.2-3.1); la diabetes (OR 1.5; IC 95% 1.3-1.8); tiempo en diálisis mayor a 55 meses (OR 1.5; IC 95% 1.2-1.7); enfermedad cerebrovascular OR 1.6; IC 95% 1.1-2.3); neoplasia (OR 1.7; IC 95% 1.1-2.6); requerimiento de internación (OR 3.4; IC 95% 2.8-3.9); internación en UTI (OR 1.8; IC 95% 1.3-2.5); necesidad de ARM (OR 11.8; IC 95% 6.9-20.2). La población en diálisis crónica en Argentina, como se muestra en el resto del mundo, es altamente vulnerable a la infección COVID, mostrando una letalidad 12 veces mayor que la población general. Las medidas implementadas en las unidades de diálisis, los cuidados de los pacientes y su entorno familiar, y por sobre todo la vacunación prioritaria, son fundamentales en esta población vulnerable de pacientes.

Abstract The report of the preliminary data of the Argentine Registry of COVID in chronic dialysis is presented, from April 10, 2020 to April 9, 2021 and includes all dialysis centers in the country. In the study period, 36 918 prevalent patients on chronic dialysis were registered. COVID-19 infection was confirmed in 3709 patients (10% of prevalent patients), of which 1675 patients (45.2%) required hospitalization, and of these, 39% (550 patients) required ICU admission. 62% of those admitted to the ICU (339 patients) required mechanical ventilation (MV). 1307 patients died (35.24%). Multivariate analysis showed as factors associated with mortality from COVID in dialysis patients, age greater than 60 years (OR 2.6; 95% CI 2.2-3.1); diabetes (OR 1.5; 95% CI 1.3-1.8); time on dialysis greater than 55 months (OR 1.5; 95% CI 1.2-1.7); cerebrovascular disease (OR 1.6; 95% CI 1.1-2.3); neoplasia (OR 1.7; 95% CI 1.1-2.6); hospitalization requirement (OR 3.4; 95% CI 2.8-3.9); ICU admission (OR 1.8; 95% CI 1.3-2.5); need of MV (OR 11.8; 95% CI 6.9-20.2). The population on chronic dialysis in Argentina, as shown in the rest of the world, is highly vulnerable to COVID infection, showing a lethality 12 times higher than the general population. The measures implemented in dialysis units, patient care and their family environment, and above all priority vaccination are essential in this vulnerable population of patients.

Características de la población incidente en diálisis crónica en Argentina / Characteristics of the incident hemodialysis population in chronic hemodialysis in Argentina

Evaluamos las características de la población incidente en Diálisis Crónica (DC) en Argentina desde 2004 hasta 2008. La tasa de incidencia del total del país fue en 2008 de 143.1 pacientes por millón de habitantes-año (ppm), con cambios significativos entre los años 2006, 2007 y 2008. Existe una gran dispersión de tasas entre provincias de Argentina con un rango de 71-201 ppm. La edad de la población fue envejeciendo significativamente llegando en 2008 a 59.8 años de promedio y aumentando significativamente la población mayor a 64 años, especialmente en varones, cuyas tasas duplican a la de las mujeres a partir de los 70 años. La Nefropatía Diabética es la primer causa de Incidencia a DC representando el 35,5% del total en 2008, en aumento permanente desde 2004. Las comorbilidades cardiovasculares disminuyeron en el tiempo, no obstante se continúa con altos porcentajes. El 67% de los pacientes presentan Hematocrito menor al 30%. El 52% de los pacientes inician DC con Albuminemia menor a 3.5 gramos / decilitros. El 1.4-2.0% de la población ingresa con presencia del anticuerpo de la Hepatitis C. Llegan sin vacunarse contra la Hepatitis B el 61% de los pacientes, con aumento significativo en los años transcurridos. Aumentó la población que comienza Hemodiálisis Crónica (HD) con catéter transitorio, llegando a 2008 a representar el 66% del total. La población que declara no poseer ingresos económicos disminuyó al 22% en 2008. Concluimos que es de importancia fundamental el seguimiento o monitoreo anual de estas variables iniciales en pacientes incidentes en DC porque muchas de ellas demostraron estar directamente relacionadas con peor pronóstico vital.

Sobrevida en diálisis crónica en Argentina: período 2004-2008 / Survival in chronic dialysis in Argentina: period 2004-2008

Se presenta la sobrevida según método de Kaplan-Meier(KM) de pacientes incidentes (01/04/2004 al 31/12/2008) al Registro Argentino de Diálisis Crónica (DC). El seguimiento (N=27.224) tuvo un máximo de 2101 días o 69.07 meses, en ese período fallecieron 9747 pacientes y al 31/12/2009 estaban con vida 10319 pacientes. La mediana de sobrevida fue de 47,9 meses. Se recurrió al Modelo del riesgo proporcional de Cox multivariado para determinar riesgo relativo o Hazard Ratio (HR) entre cada variable independiente al ingreso a DC. Del total de variables tomamos 29 (siempre que no entren en conflicto entre ellas y con casos perdidos <25%). 19 variables se muestran como predictoras significativas : Edad al ingreso (4,1% de mayor riesgo de muerte por cada año), presencia de: Insuficiencia Cardíaca, Angina Persistente o Infartos de Miocardio previos, Enfermedad Cerebrovascular, Insuficiencia Vascular Periférica, Virus C de la Hepatitis+, Arritmia Cardíaca, haber recibido Transfusiones en los últimos 6 meses, Enfermedad Pulmonar Crónica, Neoplasia al ingreso y ser portador de SIDA.