Evolution of kidney allograft loss causes over 40 years (1979-2019).

INTRODUCTION: The improvement of kidney allograft recipient and graft survival showed a decrease over the last 40 years. Long-term graft loss rate remained stable during a 25-year time span. Knowing the changing causes and the risk factors associated with graft loss requires special attention. The present study aimed to assess the causes of graft loss and kidney allograft recipient death. Also, we aimed to compare two different periods (1979-1999 and 2000-2019) to identify changes in the characteristics of the failed allografts and recipient and donors profile. METHODS AND PATIENTS: We performed a single-center cohort study. We included all the kidney transplant recipients at the Hospital del Mar (Barcelona) between May 1979 and December 2019. Graft loss was defined as recipient death with functioning graft and as loss of graft function (return to dialysis or retransplantation). We assessed the causes of graft loss using clinical and histological information. We also analyzed the results of the two different transplant periods (1979-1999 and 2000-2019). RESULTS: Between 1979 and 2019, 1522 transplants were performed. The median follow-up time was 56 (IQR 8-123) months. During follow-up, 722 (47.5%) grafts were lost: 483 (66.9%) due to graft failure and 239 (33.1%) due to death with functioning graft. The main causes of death were cardiovascular (25.1%), neoplasms (25.1%), and infectious diseases (21.8%). These causes were stable between the two periods of time. Only the unknown cause of death has decreased in the last period. The main cause of graft failure (loss of graft function) was the allograft chronic dysfunction (75%). When histologic information was available, antibody-mediated rejection (ABMR) and interstitial fibrosis/tubular atrophy (IF/TA) were the most frequent specific causes (15.9% and 12.6%). Of the graft failures, 213 (29.5%) were early (<1 year of transplantation). Vascular thrombosis was the main cause of early graft failure in the second period (2000-2019) (46.7%) and T-cell-mediated rejection (TCMR) was the main cause (31.3%) in the first period (1979-1999). The causes of late graft loss were similar between the two periods. CONCLUSIONS: The causes of kidney allograft recipient death are still due to cardiovascular and malignant diseases. Vascular thrombosis has emerged as a frequent cause of early graft loss in the most recent years. The evaluation of the causes of graft loss is necessary to improve kidney transplantation outcomes.

Evolución de las causas de pérdida del injerto en trasplante renal durante 40 años (1979-2019) / Evolution of kidney allograft loss causes over 40 years (1979-2019)

Introducción: La mejoría en la supervivencia del receptor y del injerto renal sufre un proceso de deceleración. La tasa de pérdida del injerto a medio y largo plazo permanece estable desde hace 25 años. Es fundamental conocer las causas de pérdida del injerto y los factores relacionados, así como identificar si se han producido cambios en las causas de pérdida del injerto en los últimos años. El objetivo del presente estudio fue evaluar las causas de pérdida del injerto según fallecimiento del receptor o pérdida del injerto con vuelta a diálisis/retrasplante, y analizar las causas específicas de pérdida del injerto en 2 épocas (1979-1999 y 2000-2019) para identificar cambios en el perfil de los injertos perdidos. Pacientes y métodos: Estudio retrospectivo de todos los trasplantes renales (TR) realizados en el Hospital del Mar (Barcelona) entre mayo-1979 y diciembre-2019. Consideramos pérdida del injerto el fallecimiento del paciente con injerto funcionante o el re-inicio de diálisis o retrasplante. Revisamos las causas de pérdida mediante información clínica e histológica, y analizamos los resultados en 2 periodos (1979-1999 y 2000-2019). (AU)

Introduction: The improvement of kidney allograft recipient and graft survival showed a decrease over the last 40 years. Long-term graft loss rate remained stable during a 25-year time span. Knowing the changing causes and the risk factors associated with graft loss requires special attention. The present study aimed to assess the causes of graft loss and kidney allograft recipient death. Also, we aimed to compare two different periods (1979-1999 and 2000-2019) to identify changes in the characteristics of the failed allografts and recipient and donors profile. Methods and patients: We performed a single-center cohort study. We included all the kidney transplant recipients at the Hospital del Mar (Barcelona) between May 1979 and December 2019. Graft loss was defined as recipient death with functioning graft and as loss of graft function (return to dialysis or retransplantation). We assessed the causes of graft loss using clinical and histological information. We also analyzed the results of the two different transplant periods (1979-1999 and 2000-2019). (AU)

Kidney transplantation outcomes from elderly donors after circulatory death: a comparison with elderly brain-dead donors.

BACKGROUND: The use of kidneys from elderly controlled donation after circulatory death (cDCD) donors has increased significantly in recent years. Concerns about outcomes achieved with these elderly cDCD kidneys have arisen. We aimed to compare outcomes from elderly cDCD kidney transplant recipients (KTrs) and elderly donation after brain death donors (DBDs) in KTrs. METHODS: We conducted a single-centre retrospective study including 87 cDCD-KTrs (46 from donors ≥65 years of age and 41 from <65 years) and 126 DBD-KTrs from donors ≥65 years of age from 2013 through 2017). Young cDCD-KTrs were used as controls. The median follow-up was 27.1 months for all cDCD-KTrs and 29.7 months for DBD-KTrs ≥65 years of age. RESULTS: Donors >65 years of age represented more than half of our global cDCD cohort (52.9%). KTs from elderly cDCDs had similar rates of delayed graft function, primary non-function and vascular complications compared with young cDCD-KTrs and elderly DBD-KTrs. Short and medium-term graft survival from elderly cDCD kidneys are excellent and are comparable to those from young cDCD and elderly DBD kidneys (90% young cDCD versus 88% elderly cDCD versus 80% elderly DBD at 36 months, P = 0.962 and 0.180, respectively). Although recipients from cDCDs ≥65 years of age showed lower 3-year patient survival (78% versus 87% in elderly DBD-KTrs; P = 0.01), recipient age was the only determinant of patient survival [hazard ratio 1.10 (95% confidence interval 1.02-1.17); P < 0.01], without any influence of donor characteristics. CONCLUSIONS: The use of kidneys from elderly cDCDs is increasing in Spain. Short- and medium-term graft outcomes are similar when comparing kidneys from elderly cDCDs and DBDs. Recipient age is the only determinant of patient survival. Additional studies are needed to assess long-term outcomes.

Paternal safety of the use of mycophenolic acid in kidney transplant recipients. Results of the EMVARON study.

BACKGROUND: The use of mycophenolic acid (MPA) in women during pregnancy causes an increase in miscarriages and birth defects with a typical embryopathy profile. Although epidemiological data does not suggest a greater risk among the offspring of male kidney transplant recipients, the European Medicines Agency and The Spanish Agency of Medicines and Medical Devices introduced the recommendation of using contraceptive methods. METHODS: We conducted a national retrospective study in 15 Spanish Kidney Transplant Centers to evaluate the frequency of miscarriages and birth defects between the offspring from male kidney transplants recipients. We included 151 males who had fathered 239 offspring, 225 under MPA and 14 without MPA. RESULTS: The results of our study showed an incidence of miscarriages in the MPA group of 9.8%, and of birth defects of 4%. CONCLUSIONS: We observed an incidence of miscarriages between the offspring fathered by kidney transplant males under MPA lower than the general population. The incidence of birth defects was similar to the incidence described in other studies and the fact that we did not find the typical embryopathy profile makes it difficult to associate them to the use of MPA. Because of that, we urge the European and Spanish Agencies to reconsider their recommendations for males.

Clinical Profiles in Renal Patients with COVID-19.

The COVID-19 pandemic has led to frequent referrals to the emergency department on suspicion of this infection in maintenance hemodialysis (MHD) and kidney transplant (KT) patients. We aimed to describe their clinical features comparing confirmed and suspected non-confirmed COVID-19 cases during the Spanish epidemic peak. Confirmed COVID-19 ((+)COVID-19) corresponds to patient with positive RT-PCR SARS-CoV-2 assay. Non-confirmed COVID-19 ((-)COVID-19) corresponds to patients with negative RT-PCR. COVID-19 was suspected in 61 patients (40/803 KT (4.9%), 21/220 MHD (9.5%)). Prevalence of (+)COVID-19 was 3.2% in KT and 3.6% in MHD patients. Thirty-four (26 KT and 8 MHD) were (+)COVID-19 and 27 (14 KT and 13 MHD) (-)COVID-19. In comparison with (-)COVID-19 patients, (+)COVID-19 showed higher frequency of typical viral symptoms (cough, dyspnea, asthenia and myalgias), pneumonia (88.2% vs. 14.3%) and LDH and CRP while lower phosphate levels, need of hospital admission (100% vs. 63%), use of non-invasive mechanical ventilation (36% vs. 11%) and mortality (38% vs. 0%) (p < 0.001). Time from symptoms onset to admission was longer in patients who finally died than in survivors (8.5 vs. 3.8, p = 0.007). In KT and MHD patients, (+)COVID-19 shows more clinical severity than suspected non-confirmed cases. Prompt RT-PCR is mandatory to confirm COVID-19 diagnosis.

Relevance of KDPI value and acute rejection on kidney transplant outcomes in recipients with delayed graft function - a retrospective study.

Delayed graft function (DGF) is associated with poorer graft survival and higher rate of acute rejection (AR). It is unknown whether this negative influence relies on the increased risk of AR or the DGF itself. The different Kidney Donor Profile Index (KDPI) values may also play a role in this interaction. Retrospective study aimed to evaluate the impact of DGF on graft function and graft survival in a subset of KT recipients (2004-2017). We also analyzed the relationship between KDPI and DGF. The study includes 601 KT, 226 of them (37%) developed DGF. Graft survival was lower in patients with DGF compared with non-DGF patients. Multivariable analysis revealed DGF as risk factor for graft loss, independently of the presence or not of acute rejection. Between DGF patients, we observed poorer graft survival in patients with higher KDPI value (>85%). We observed a trend of a greater impact of KDPI in patients with DGF, although this interaction was not statistically significant. Additionally, we observed poorer 12-month graft function in DGF patients. DGF is related to poorer graft survival independently of the developed acute rejection. This negative impact might be influenced by high KDPI values.

COVID-19 in elderly kidney transplant recipients.

The SARS-Cov-2 infection disease (COVID-19) pandemic has posed at risk the kidney transplant (KT) population, particularly the elderly recipients. From March 12 until April 4, 2020, we diagnosed COVID-19 in 16 of our 324 KT patients aged ≥65 years old (4.9%). Many of them had had contact with healthcare facilities in the month prior to infection. Median time of symptom onset to admission was 7 days. All presented with fever and all but one with pneumonia. Up to 33% showed renal graft dysfunction. At infection diagnosis, mTOR inhibitors or mycophenolate were withdrawn. Tacrolimus was withdrawn in 70%. The main treatment combination was hydroxychloroquine and azithromycin. A subset of patients was treated with anti-retroviral and tocilizumab. Short-term fatality rate was 50% at a median time since admission of 3 days. Those who died were more frequently obese, frail, and had underlying heart disease. Although a higher respiratory rate was observed at admission in nonsurvivors, symptoms at presentation were similar between both groups. Patients who died were more anemic, lymphopenic, and showed higher D-dimer, C-reactive protein, and IL-6 at their first tests. COVID-19 is frequent among the elderly KT population and associates a very early and high mortality rate.

Luminex screening first vs. direct single antigen bead assays: Different strategies for HLA antibody monitoring after kidney transplantation.

MAIN PROBLEM: Luminex panel and single antigen beads (SAB) are used for screening and DSA specificity determination respectively. The cost of SAB may limit its general use, so some labs perform SAB tests only after positive screening. METHODS: We compared both strategies: 1) SAB only if positive screening with kits from manufacturer A, and 2) direct SAB from manufacturer B, and correlate their sensitivity with histological findings. RESULTS: We selected 118 kidney transplant recipients with a normal biopsy (n = 19), histological antibody-mediated damage (ABMR, n = 52) or interstitial fibrosis/tubular atrophy (IFTA, n = 47) following Banff 2015 and 2017 classification. Direct SAB detected DSA in 13 patients missed by screening. Strategy 1 detected DSA in 0% normal, 61.5% ABMR and 8.5% IFTA patients; percentages with strategy 2 were 5.2%, 78.8% and 14.8% (p=0.004). Strategy 2 identified DSA allowing full ABMR diagnosis in 17% cases missed by strategy 1. Thereafter, direct SAB from manufacturer A confirmed DSA in 46% DSA-positive cases with strategy 2 (55.5% ABMR cases). CONCLUSIONS: Luminex screening failed to identify clinically relevant HLA antibodies, hampering DSA detection in patients with possible ABMR. Direct SAB testing should be the chosen strategy for post-transplantation monitoring, albeit direct SAB from the two existing manufacturers may diverge in as much as 50% of cases.

Gender differences in cancer risk after kidney transplantation.

Kidney transplant (KT) recipients are at greater risk of developing some cancers than the general population. Moreover, cancer is the only cause of death that is currently increasing after kidney transplantation. We analyzed incidence, risk factors and characteristics of post-transplant malignancies (solid organ tumors and lymphoproliferative disorders) at our center in 925 KT recipients (1979-2014). Sex differences were particularly assessed. One hundred and eight patients (11.7%) developed solid organ tumors (76.9%) or lymphoma (23.1%). Twenty-one percent of patients who reached 20 years after KT developed cancer, with a median post-KT time to diagnosis of 7.4 years. Most common solid organs affected were lung (30.1%), prostate (10.8%), bladder (9.6%), and native kidney (7.2%). When analyzing standardized incidence ratios (SIR) by gender compared to the general population, relative risk was increased in women (SIR = 1.81; 95%CI, 1.28-2.45) but not significantly increased in men (SIR = 1.22; 0.95-2.52). Regarding specific types, gynecological (SIR = 11.6; 4.2-22.7) and lung (SIR = 10.0; 4.3-18.2) in women, and bladder (SIR = 16.3; 5.9-32.1) in men were the most affected locations. Thymoglobulin, a polyclonal antibody that has been used as an immunosuppressive agent in kidney transplantation over the last decades, was a significant risk factor for developing cancer in adjusted regression analysis [IRR = 1.62, 1.02-2.57; p = 0.041], and was associated with lower patient survival. Compared with the general population, the incidence of post-KT non-skin cancer is almost two-fold higher in women but not significantly higher in men. Lung is the most common solid organ affected. Thymoglobulin induction therapy is associated with a greater risk.

Peripheral blood lymphocyte subsets change after steroid withdrawal in renal allograft recipients: a prospective study.

Several studies have assessed clinical outcomes after steroid withdrawal (SW) in kidney transplant (KT) recipients, but little is known about its potential impact on lymphocyte subpopulations. We designed a prospective study to evaluate the long-term impact of SW in 19 KT recipients compared to 16 KT recipients without changes in immunosuppression (steroid maintenance, SM). We assessed renal function, presence of HLA antibodies and peripheral blood lymphocyte subsets at time of inclusion, and 3, 12 and 24 months later. The immunophenotype of 20 healthy subjects was also analyzed. Serum creatinine and proteinuria remained stable in SW and SM patients. SW did not associate with generation of de novo donor-specific antibodies. SW patients showed decreases in T-lymphocytes (p < 0.001), and in the CD4+ T cell subpopulation (p = 0.046). The proportion of B-lymphocytes (p = 0.017), and both naïve and transitional B cells increased compared to SM patients (p < 0.001). Changes in B cell subsets were detected 3 months after SW and persisted for 24 months. No changes were observed in NK cells related to steroid withdrawal. SW patients displayed significant changes in peripheral T and B cell subsets, transitioning to the phenotype detected in healthy subjects. This may be considered as a maintained positive effect of SW previously unnoticed.

Usefulness of the KDPI in Spain: A comparison with donor age and definition of standard/expanded criteria donor / Utilidad del índice KDPI en España: una comparación con la edad del donante y la definición de donante con criterios de selección estándar/ampliados

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 pre-transplant 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

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

Factores asociados a la compensación de la función renal tras la nefrectomía para donación / Factors associated with renal function compensation after donor nephrectomy

INTRODUCCIÓN: Los donantes renales pierden la mitad de su masa renal tras la nefrectomía. Se estima que el riñón remanente compensa idóneamente un 70% de la función renal previa a la donación. Los factores asociados con el grado de compensación posdonación no están bien establecidos. MÉTODOS: Análisis retrospectivo de 66 donantes renales consecutivos. Edad media 48,8 años; 74,2% mujeres. Se estudiaron los potenciales factores asociados con la compensación del riñón remanente comparando donantes según su tasa de compensación renal (TCR) (grupo A, infra-compensación [< 70%]; grupo B compensación normal [> 70%]). RESULTADOS: Comparamos los grupos A (n = 38) y B (n = 28). Los factores predictores de una TCR > 70% fueron una mayor creatinina basal (A vs. B 0,73 ± 0,14 vs. 0,82 ± 0,11; p = 0,03) y menor filtrado glomerular (FG), tanto estimado mediante MDRD-4 (A vs. B 97,7 ± 18,8 vs. 78,6 ± 9,6ml/min; p < 0,001) como por CKD-EPI (A vs. B 101,7 ± 15 vs. 88,3 ± 11,7 ml/min; p ≤ 0,001). La edad, el sexo, el tabaquismo, la hipertensión o el FG medido con Tcm-DTPA no mostraron asociación con la TCR. El análisis multivariante confirmó el FGe como predictor de compensación: a mayor FG basal menor probabilidad de compensar >70% (MDRD-4, odds ratio [OR] = 0,94 [IC 95%: 0,8-0,9], p = 0,01). La tasa de compensación era 0,4% (p < 0,001) y 0,3% (p = 0,006), menor por cada ml/min de FG basal más, por MDRD-4 y CKD-EPI respectivamente. CONCLUSIONES: Un año después de la donación renal el riñón remanente compensa parcialmente la función renal basal. En nuestra experiencia el FGe basal se asocia de forma inversamente proporcional a la tasa de compensación renal al año

INTRODUCTION: Kidney transplant donors lose 50% of their renal mass after nephrectomy. The remaining kidney compensates for this loss and it is estimated that 70% of the baseline renal function prior to donation is recovered. Factors associated with post-donation renal compensation are not well understood. METHODS: Retrospective study of 66 consecutive kidney donors (mean age 48.8 years, 74.2% women). We analysed the potential factors associated with the compensatory mechanisms of the remaining kidney by comparing donors according to their renal compensation rate (RCR) (Group A, infra-compensation [< 70%]; Group B, normal compensation [> 70%]). RESULTS: We compared Group A (n = 38) and group B (n = 28). Predictors for RCR > 70% were higher baseline creatinine (A vs B: 0.73 ± 0.14 vs 0.82 ± 0.11; P = .03) and a lower baseline glomerular filtration rate (GFR), estimated both by MDRD-4 (A vs B: 97.7 ± 18.8 vs 78.6 ± 9.6ml/min; P<.001) and CKD-EPI (A vs B: 101.7±15 vs. 88.3 ± 11.7 ml/min; P≤.001). Age, gender, smoking, hypertension and GFR measured by Tc-DTPA did not show any correlation with the RCR. The multivariate analysis confirmed baseline estimated glomerular filtration rate (eGFR) to be a predictor of compensation: the higher the baseline eGFR, the lower the likelihood of > 70% compensation (MDRD-4, OR = 0.94 [95% CI 0.8-0.9], P = .01). The compensation rate decreased by 0.4% (P < .001) and 0.3% (P = .006) for every ml/min increase in baseline eGFR estimated by MDRD-4 and CKD-EPI, respectively. CONCLUSIONS: One year after living donor nephrectomy, the remaining kidney partially compensates baseline renal function. In our experience, baseline eGFR is inversely proportional to the one-year renal compensation rate

Maintenance low dose systemic glucocorticoids have limited impact on bone strength and mineral density among incident renal allograft recipients: A pilot prospective cohort study.

Soon after kidney transplant (KT), a decrease in parathormone and bone mineral density (BMD) occur, but little is known on the impact of KT on novel bone quality parameters including trabecular bone score (TBS) and bone material strength index (BMSi). We aimed to study BMD, TBS and BMSi in the first year after KT, in patients not treated with any bone therapy. A cohort including 36 patients underwent KT on a low-glucocorticoid-dose protocol (5 mg daily-prednisone from post-operative-day 42 onwards) and was observed for 12 months prospectively. At 3 months, phosphorus and parathormone decreased, while calcium increased. We also observed at 3 months a transient mild 2.9% bone loss at femoral neck (BMD change 0.752 ±â€¯0.15 vs 0.730 ±â€¯0.15; p = 0.004), but no change at either spine or total hip. Both TBS and BMSi remained stable. At 12 months, lumbar (but not total hip or femoral neck) BMD slightly decreased by 2.1% vs baseline (0.950 ±â€¯0.15 vs 0.930 ±â€¯0.5; p = 0.046), while TBS and BMSi remained unmodified. In KT patients on low-dose glucocorticoids and no bone therapy, there were small BMD decreases at femoral neck (at 3 months) and lumbar spine (at 12 months), but no change in either TBS or BMSi. Low-dose post-KT glucocorticoid treatment shows limited impact on bone, supporting steroid-restrictive protocols.

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

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 pre-transplant 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.

Factors associated with renal function compensation after donor nephrectomy. / Factores asociados a la compensación de la función renal tras la nefrectomía para donación.

INTRODUCTION: Kidney transplant donors lose 50% of their renal mass after nephrectomy. The remaining kidney compensates for this loss and it is estimated that 70% of the baseline renal function prior to donation is recovered. Factors associated with post-donation renal compensation are not well understood. METHODS: Retrospective study of 66 consecutive kidney donors (mean age 48.8 years, 74.2% women). We analysed the potential factors associated with the compensatory mechanisms of the remaining kidney by comparing donors according to their renal compensation rate (RCR) (Group A, infra-compensation [<70%]; Group B, normal compensation [>70%]). RESULTS: We compared Group A (n=38) and group B (n=28). Predictors for RCR>70% were higher baseline creatinine (A vs B: 0.73±0.14 vs 0.82±0.11; P=.03) and a lower baseline glomerular filtration rate (GFR), estimated both by MDRD-4 (A vs B: 97.7±18.8 vs 78.6±9.6ml/min; P<.001) and CKD-EPI (A vs B: 101.7±15 vs. 88.3±11.7ml/min; P≤.001). Age, gender, smoking, hypertension and GFR measured by Tc-DTPA did not show any correlation with the RCR. The multivariate analysis confirmed baseline estimated glomerular filtration rate (eGFR) to be a predictor of compensation: the higher the baseline eGFR, the lower the likelihood of >70% compensation (MDRD-4, OR=0.94 [95% CI 0.8-0.9], P=.01). The compensation rate decreased by 0.4% (P<.001) and 0.3% (P=.006) for every ml/min increase in baseline eGFR estimated by MDRD-4 and CKD-EPI, respectively. CONCLUSIONS: One year after living donor nephrectomy, the remaining kidney partially compensates baseline renal function. In our experience, baseline eGFR is inversely proportional to the one-year renal compensation rate.

MDRD o CKD-EPI en la estimación del filtrado glomerular del donante renal vivo / MDRD or CKD-EPI for glomerular filtration rate estimation in living kidney donors

Introducción: El estudio del filtrado glomerular medido (FGm) o del estimado (FGe) es el eje de la evaluación adecuada de la función renal en la valoración de un potencial donante vivo renal. Nos planteamos estudiar la correlación entre las fórmulas de estimación del FG y los métodos de medición para determinar la función renal. Material y métodos: Analizamos la relación entre los valores basales de FGm con Tc-99m-DTPA (dietilenolene-triamino-pentaacetato) y aquellos estimados mediante las fórmulas Modification Diet Renal Disease de 4 variables (MDRD4) y Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) en una serie de donantes vivos de nuestra institución. Resultados: Incluimos a 64 donantes (70,6% mujeres; con una edad media de 48,3±11 años). La creatinina basal fue 0,8±0,1 y 1,1±0,2mg/dl un año posdonación. Las ecuaciones infraestiman el FG medido por Tc99m-DTPA (MDRD4 −9,4±25ml/min y p<0,05; CKD-EPI −4,4±21ml/min). La correlación entre las fórmulas estimativas y el método medido fue superior para CKD-EPI (r=0,41; p=0,004) que para MDRD4 (r=0,27; p=0,05). El FGe se redujo a 59,6±11 (MDRD4) y a 66,2±14ml/min (CKD-EPI) al año posdonación. Esto supone una reducción media del FGe de 28,2±16,7ml/min (MDRD4) y de 27,31±14,4ml/min (CKD-EPI) al año. Conclusión: En nuestra experiencia, CKD-EPI es la fórmula que mejor se correlaciona con el FGm-Tc99m-DTPA en la evaluación de la función renal para el cribado de donantes (AU)

Introduction: The evaluation of the measured Glomerular Filtration Rate (mGFR) or estimated Glomerular Filtration Rate (eGFR) is key in the proper assessment of the renal function of potential kidney donors. We aim to study the correlation between glomerular filtration rate estimation equations and the measured methods for determining renal function. Material and methods: We analysed the relationship between baseline GFR values measured by Tc-99m-DTPA (diethylene-triamine-pentaacetate) and those estimated by the four-variable Modification of Diet in Renal Disease (MDRD4) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations in a series of living donors at our institution. Results: We included 64 donors (70.6% females; mean age 48.3±11 years). Baseline creatinine was 0.8±0.1 mg/dl and it was 1.1±0.2 mg/dl one year after donation. The equations underestimated GFR when measured by Tc99m-DTPA (MDRD4-9.4 ± 25ml/min, P<.05, and CKD-EPI-4.4 ± 21ml/min). The correlation between estimation equations and the measured method was superior for CKD-EPI (r=.41; P<.004) than for MDRD4 (r=.27; P<.05). eGFR decreased to 59.6±11 (MDRD4) and 66.2±14ml/min (CKD-EPI) one year after donation. This means a mean eGFR reduction of 28.2±16.7 ml/min (MDRD4) and 27.31±14.4 ml/min (CKD-EPI) at one year. Conclusions: In our experience, CKD-EPI is the equation that better correlates with mGFR-Tc99m-DTPA when assessing renal function for donor screening purposes (AU)

Impact of persistent and cleared preformed HLA DSA on kidney transplant outcomes.

Preformed HLA donor-specific antibodies (DSA) only detected with Luminex have been associated with increased risk of antibody-mediated rejection (ABMR) and graft failure after kidney transplantation (KT). Their evolution after KT may modify this risk. We analyzed postransplant evolution of preformed DSA identified retrospectively and their impact on outcomes of 370 KT performed 2006-2014. Antibodies were monitored prospectively at 1-3-5 years after KT and if any dysfunction. Early acute ABMR was more frequent among patients with preformed DSA class-I or I + II than isolated class-II (29.4% vs 4.5%, p = 0.02). One year post-KT, 20 of 34 patients with functioning KT had persistent DSA. Preformed DSA class-II persisted more frequently than class-I/I + II (66.7% vs 33.3%; p = 0.031). The only risk factor independently associated with persistence was pretransplant MFI. Patients with de novo DSA had the highest risk of ABMR (HR 22.2 [CI 6.1-81.2]). Although recipients with persisting preformed DSA had significantly increased ABMR risk (HR 14.7 [CI 6.5-33.0]), those with cleared preformed DSA also had a higher risk than those without DSA (HR 7.01 [CI 2.2-21.8]). Preformed DSA are a very important risk factor for ABMR and graft loss. Patients who clear preformed DSA still show an increased risk of ABMR and graft loss after KT.

MDRD or CKD-EPI for glomerular filtration rate estimation in living kidney donors. / MDRD o CKD-EPI en la estimación del filtrado glomerular del donante renal vivo.

INTRODUCTION: The evaluation of the measured Glomerular Filtration Rate (mGFR) or estimated Glomerular Filtration Rate (eGFR) is key in the proper assessment of the renal function of potential kidney donors. We aim to study the correlation between glomerular filtration rate estimation equations and the measured methods for determining renal function. MATERIAL AND METHODS: We analysed the relationship between baseline GFR values measured by Tc-99m-DTPA (diethylene-triamine-pentaacetate) and those estimated by the four-variable Modification of Diet in Renal Disease (MDRD4) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations in a series of living donors at our institution. RESULTS: We included 64 donors (70.6% females; mean age 48.3±11 years). Baseline creatinine was 0.8±0.1 mg/dl and it was 1.1±0.2 mg/dl one year after donation. The equations underestimated GFR when measured by Tc99m-DTPA (MDRD4-9.4 ± 25ml/min, P<.05, and CKD-EPI-4.4 ± 21ml/min). The correlation between estimation equations and the measured method was superior for CKD-EPI (r=.41; P<.004) than for MDRD4 (r=.27; P<.05). eGFR decreased to 59.6±11 (MDRD4) and 66.2±14ml/min (CKD-EPI) one year after donation. This means a mean eGFR reduction of 28.2±16.7 ml/min (MDRD4) and 27.31±14.4 ml/min (CKD-EPI) at one year. CONCLUSIONS: In our experience, CKD-EPI is the equation that better correlates with mGFR-Tc99m-DTPA when assessing renal function for donor screening purposes.

Bone Density, Microarchitecture, and Tissue Quality Long-term After Kidney Transplant.

BACKGROUND: Bone mineral density (BMD) measured by dual-energy x-ray absorptiometry is used to assess bone health in kidney transplant recipients (KTR). Trabecular bone score and in vivo microindentation are novel techniques that directly measure trabecular microarchitecture and mechanical properties of bone at a tissue level and independently predict fracture risk. We tested the bone status of long-term KTR using all 3 techniques. METHODS: Cross-sectional study including 40 KTR with more than 10 years of follow-up and 94 healthy nontransplanted subjects as controls. Bone mineral density was measured at lumbar spine and the hip. Trabecular bone score was measured by specific software on the dual-energy x-ray absorptiometry scans of lumbar spine in 39 KTR and 77 controls. Microindentation was performed at the anterior tibial face with a reference-point indenter device. Bone measurements were standardized as percentage of a reference value, expressed as bone material strength index (BMSi) units. Multivariable (age, sex, and body mass index-adjusted) linear regression models were fitted to study the association between KTR and BMD/BMSi/trabecular bone score. RESULTS: Bone mineral density was lower at lumbar spine (0.925 ± 0.15 vs 0.982 ± 0.14; P = 0.025), total hip (0.792 ± 0.14 vs 0.902 ± 0.13; P < 0.001), and femoral neck (0.667 ± 0.13 vs 0.775 ± 0.12; P < 0.001) in KTR than in controls. BMSi was also lower in KTR (79.1 ± 7.7 vs 82.9 ± 7.8; P = 0.012) although this difference disappeared after adjusted model (P = 0.145). Trabecular bone score was borderline lower (1.21 ± 0.14 vs 1.3 ± 0.15; adjusted P = 0.072) in KTR. CONCLUSIONS: Despite persistent decrease in BMD, trabecular microarchitecture and tissue quality remain normal in long-term KTR, suggesting important recovery of bone health.