Clinical performance of the iPREDICTLIVING tool for the prediction of the post-transplant recipient and living donor outcomes in a European cohort.

A living donor kidney transplant (LDKT) is the best treatment for ESRD. A prediction tool based on clinical and demographic data available pre-KT was developed in a Norwegian cohort with three different models to predict graft loss, recipient death, and donor candidate's risk of death, the iPREDICTLIVING tool. No external validations are yet available. We sought to evaluate its predictive performance in our cohort of 352 pairs LKDT submitted to KT from 1998 to 2019. The model for censored graft failure (CGF) showed the worse discriminative performance with Harrell's C of .665 and a time-dependent AUC of .566, with a calibration slope of .998. For recipient death, at 10 years, the model had a Harrell's C of .776, a time-dependent AUC of .773, and a calibration slope of 1.003. The models for donor death were reasonably discriminative, although with a poor calibration, particularly for 20 years of death, with a Harrell's C of .712 and AUC of .694 with a calibration slope of .955. These models have moderate discriminative and calibration performance in our population. The tool was validated in this Northern Portuguese cohort, Caucasian, with a low incidence of diabetes and other comorbidities. It can improve the informed decision-making process at the living donor consultation joining clinical and other relevant information.

Surgical complications and technical failure of simultaneous pancreas-kidney transplantation: A 22-year experience from a single center.

Simultaneous pancreas-kidney transplantation (SPKT) is the best treatment for selected individuals with type 1 diabetes mellitus and end-stage renal disease. Despite advances in surgical techniques, donor and recipient selection, and immunosuppressive therapies, SPKT remains a complex procedure with associated surgical complications and adverse consequences. We conducted a retrospective study that included 263 SPKT procedures performed between May 2000, and December 2022. A total of 65 patients (25%) required at least one relaparotomy, resulting in an all-cause relaparotomy rate of 2.04 events per 100 in-hospital days. Lower donor body mass index was identified as an independent factor associated with reoperation (OR .815; 95% CI:  .725-.917, p = .001). Technical failure (TF) occurred in 9.9% of cases, primarily attributed to pancreas graft thrombosis, intra-abdominal infections, bleeding, and anastomotic leaks. Independent predictors of TF at 90 days included donor age above 36 years (HR 2.513; 95% CI 1.162-5.434), previous peritoneal dialysis (HR 2.503; 95% CI 1.149-5.451), and specific pancreas graft reinterventions. The findings highlight the importance of carefully considering donor and recipient factors in SPKT. The incidence of TF in our study population aligns with the recent series. Continuous efforts should focus on identifying and mitigating potential risk factors to enhance SPKT outcomes, thereby reducing post-transplant complications.

External Validation of the Toulouse-Rangueil Predictive Model to Estimate Donor Renal Function After Living Donor Nephrectomy.

A predictive model to estimate post-donation glomerular filtration rate (eGFR) and risk of CKD at 1-year was developed from a Toulouse-Rangueil cohort in 2017 and showed an excellent correlation to the observed 1-year post-donation eGFR. We retrospectively analyzed all living donor kidney transplants performed at a single center from 1998 to 2020. Observed eGFR using CKD-EPI formula at 1-year post-donation was compared to the predicted eGFR using the formula eGFR (CKD-EPI, mL/min/1.73 m2) = 31.71+ (0.521 × preoperative eGFR) - (0.314 × age). 333 donors were evaluated. A good correlation (Pearson r = 0.67; p < 0.001) and concordance (Bland-Altman plot with 95% limits of agreement -21.41-26.47 mL/min/1.73 m2; p < 0.001) between predicted and observed 1-year post-donation eGFR were observed. The area under the ROC curve showed a good discriminative ability of the formula in predicting observed CKD at 1-year post-donation (AUC = 0.83; 95% CI: 0.78-0.88; p < 0.001) with optimal cutoff corresponding to a predicted eGFR of 65.25 mL/min/1.73 m2 in which the sensibility and specificity to predict CKD were respectively 77% and 75%. The model was successfully validated in our cohort, a different European population. It represents a simple and accurate tool to assist in evaluating potential donors.

Excess Mortality in Kidney and Kidney-Pancreas Transplant Recipients in the COVID-19 Pandemic in Portugal-A Cohort Study.

The COVID-19 pandemic increased morbidity and mortality worldwide, particularly in the Kidney and Kidney-Pancreas Transplant Recipient (KTR/KPTR) population. Aiming at assessing the absolute and relative excess mortality (EM) in a Portuguese KTR/KPTR cohort, we conducted a retrospective observational study of two KTR/KPTRs cohorts: cohort 1 (P1; n = 2,179) between September/2012 and March/2020; cohort 2 (P2; n = 2067) between March/2020, and August/2022. A correlation between relative and absolute EM and age, sex, time from transplantation and cause of death was explored. A total of 145 and 84 deaths by all causes were observed in P1 and P2, respectively. The absolute EM in P2 versus P1 was 19.2 deaths (observed/expected mortality ratio 1.30, p = 0.006), and the relative EM was 1.47/1,000 person-months (95% CI 1.11-1.93, p = 0.006). Compared to the same period in the general population, the standardized mortality rate by age in P2 was 3.86 (95% CI 2.40-5.31), with a peak at 9.00 (95% CI 4.84-13.16) in P2C. The higher EM identified in this population was associated, mainly, with COVID-19 infection, with much higher values during the second seasonal COVID-19 peak when compared to the general population, despite generalized vaccination. These highlight the need for further preventive measures and improved therapies in these patients.

Potential Renal Damage Biomarkers in Alport Syndrome-A Review of the Literature.

Alport syndrome (AS) is the second most common cause of inherited chronic kidney disease. This disorder is caused by genetic variants on COL4A3, COL4A4 and COL4A5 genes. These genes encode the proteins that constitute collagen type IV of the glomerular basement membrane (GBM). The heterodimer COL4A3A4A5 constitutes the majority of the GBM, and it is essential for the normal function of the glomerular filtration barrier (GFB). Alterations in any of collagen type IV constituents cause disruption of the GMB structure, allowing leakage of red blood cells and albumin into the urine, and compromise the architecture of the GFB, inducing inflammation and fibrosis, thus resulting in kidney damage and loss of renal function. The advances in DNA sequencing technologies, such as next-generation sequencing, allow an accurate diagnose of AS. Due to the important risk of the development of progressive kidney disease in AS patients, which can be delayed or possibly prevented by timely initiation of therapy, an early diagnosis of this condition is mandatory. Conventional biomarkers such as albuminuria and serum creatinine increase relatively late in AS. A panel of biomarkers that might detect early renal damage, monitor therapy, and reflect the prognosis would have special interest in clinical practice. The aim of this systematic review is to summarize the biomarkers of renal damage in AS as described in the literature. We found that urinary Podocin and Vascular Endothelial Growth Factor A are important markers of podocyte injury. Urinary Epidermal Growth Factor has been related to tubular damage, interstitial fibrosis and rapid progression of the disease. Inflammatory markers such as Transforming Growth Factor Beta 1, High Motility Group Box 1 and Urinary Monocyte Chemoattractant Protein- 1 are also increased in AS and indicate a higher risk of kidney disease progression. Studies suggest that miRNA-21 is elevated when renal damage occurs. Novel techniques, such as proteomics and microRNAs, are promising.

SARS-CoV-2 infection in kidney transplant recipients: Early report of five cases.

From December 2019 to March 2020, China was the epicenter of the SARS-CoV-2 infection pandemic, but from that moment on, Europe surpassed China in the number of new cases and deaths related to this novel viral respiratory infection. The emergence of this world pandemic is particularly important for solid organ transplant recipients, who might have an increased risk of mortality, not only due to their chronic immunosuppression status, but also to the cardiovascular risk that correlates with several years of chronic kidney disease. To the extent that there is still a lack of knowledge about the clinical characteristics, evolution, and prognosis of SARS-CoV-2 infection in kidney transplant recipients, we will report the first 5 cases diagnosed and followed in our transplant unit, as well as share the therapeutic strategies adopted.

HLA class II eplet mismatch load improves prediction of dnDSA development after living donor kidney transplantation.

HLA donor-specific antibodies developed de novo after transplant remain a major cause of chronic allograft dysfunction. Our study main purpose was to determine whether HLA MM, assessed traditionally and by HLA total and AbVer eplet mismatch load (EptMM and EpvMM) assessed with HLAMatchMaker, had impact on dnDSA development after living donor kidney transplantation (LDKT). We retrospectively analysed a cohort of 96 LDKT between 2008 and 2017 performed in Hospital Santo António. Seven patients developed dnDSA-II and EpvMM and EptMM were greater in dnDSA-II group compared to the no dnDSA-II (18.0 ± 8.7 versus 9.9 ± 7.9, p = .041 and 41.3 ± 18.9 versus 23.1 ± 16.7, p = .018), which is not observed for AgMM (2.29 versus 1.56; p = .09). In a multivariate analysis, we found that preformed DSA (HR = 7.983; p = .023), living unrelated donors (HR = 8.052; p = .024) and retransplantation (HR = 14.393; p = .009) were predictors for dnDSA-II (AUC = 0.801; 0.622-0.981). HLA-II EpvMM (HR = 1.105; p = .028; AUC = 0.856) showed to be a superior predictor of dnDSA-II, when compared to AgMM (HR = 1.740; p = .113; AUC = 0.783), when adjusted for these clinical variables. Graft survival was significantly lower within dnDSA-II patient group (36% versus 88%, p < .001). HLA molecular mismatch analysis is extremely important to minimize risk for HLA-II dnDSA development improving outcome and increasing chance of retransplant lowering allosensitization.

Lower donated kidney volume is associated with increased risk of lower graft function and acute rejection at 1 year after living donor kidney-a retrospective study.

Kidney volume has been proven to be a surrogate marker of nephron mass and renal function. We studied 190 donor and recipient pairs undergoing living donor kidney transplantation at our institution during 9 years. Different metrics of donor kidney volume (DKV) were explored: alone or indexed to recipient's anthropometry, as body surface area (BSA). DKV/BSA (min. 49.7; P33rd 77.7; P67th 95.3; max. 176 cm3 /m2 ) was chosen given its higher correlation with eGFR at 1 year, and recipients were divided according to its tertiles (T). The eGFR at 1 year was lower in T1, when compared with T2 (P = 0.015) and T3 (P < 0.001). In a multivariable model, a regression spline revealed that a DKV/BSA lower than 80 was significantly associated with an eGFR at 1 year <60. In the first 6 years, the overall annual eGFR slope was -0.90 ml/min/year. Acute rejection occurred in 19%, 11%, and 0% of patients in T1, T2, and T3, respectively (P < 0.001). DKV/BSA increased stepwise from cellular- (n = 12) to antibody-mediated (n = 7) AR cases and to those without AR (n = 171; P = 0.002; no AR versus cellular AR). Lower DKV/BSA ratio was associated with significantly worse graft function and higher incidence of AR. Hence, it can be a tool for better selection of donors in order to improve graft outcomes, particularly in the setting of multiple potential living donors or kidney paired exchange programs.

Remaining kidney volume indexed to weight as a strong predictor of estimated glomerular filtration rate at 1 year and mid-term renal function after living-donor nephrectomy - a retrospective observational study.

The donors' estimated glomerular filtration rate (eGFR) after living nephrectomy has been a concern, particularly in donors with smaller kindeys. Therefore, we developed this retrospective observational study in 195 donors to determine the ability remaining kidney volume indexed to weight (RKV/W) to predict eGFR at 1 year through multivariate linear regression and to explore this relationship between annual eGFR change from 1 to 4 years postdonation evaluated by a linear mixed model. Comparing RKV/W tertiles (T1, T2, T3), RKV/W was a good predictor of 1-year eGFR which was significantly better in T3 donors. Gender, predonation eGFR, and RKV/W were independent predictors of eGFR at 1-year. In a subgroup with predonation eGFR < 90mL/min/1.73 m2 , a significant prediction of eGFR < 60mL/min/1.73 m2 was detected in males with RKV/W ≤ 2.51cm3 /kg. Annual eGFR (ml/min/year) change from 1 to 4 years was + 0.77. RKV/W divided by tertiles (T1-T3) was the only significant predictor: T2 and T3 donors had an annual eGFR improvement opposing to T1. RKV/W was a good predictor of eGFR at 1 year, independently from predonation eGFR. A higher RKV/W was associated with improved eGFR at 1 year. A decline in eGFR on the four years after surgery was only noticeable in donors with RKV/W ≤ 2.13cm3 /kg.

Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score.

AIM: Mortality in end-stage renal disease (ESRD) remains high, particularly among elderly, who represents the most rapidly growing segment of the ESRD population in wealthier countries. We developed and validated a risk score in elderly patients to predict 6-month mortality after dialysis initiation. METHODS: We used data from a cohort of 421 patients, aged 65 years and over who started dialysis between 2009 and 2016, in our Nephrology department. The predictive score was developed using a multivariable logistic regression analysis. A bootstrapping technique was used for internal validation. RESULTS: The overall mortality within 6 months was 14.0%. Five independent predictors were identified, and a points system was constructed: age 75 years or older (2 points), coronary artery disease (2), cerebrovascular disease with hemiplegia (2), time of nephrology care before dialysis (<3.0 months [2]; ≥3 to <12 months [1]), and serum albumin levels (3.0-3.49 g/dL [1]; <3.0 g/dL [2]). A score of 6 identified patients with a 70% risk of 6-month mortality. Model performance was good in both discrimination (area under the curve of 0.793; [95% CI 0.73-0.86]) and validation (concordance statistics of 0.791 [95% CI 0.73-0.85]). CONCLUSIONS: We developed a simple prediction score based on readily available clinical and laboratory data that can be a practical and useful tool to assess short-term prognosis in elderly patients starting dialysis. It may help to inform patients and their families about ESRD treatment options and provide a more patient-centered overall approach to care.

Deleterious effect of anti-angiotensin II type 1 receptor antibodies detected pretransplant on kidney graft outcomes is both proper and synergistic with donor-specific anti-HLA antibodies.

AIM: Both donor-specific antibodies (DSA) and anti-angiotensin II type 1 receptor antibodies (AT1R-abs) have been associated with poor graft outcomes after kidney transplantation (KT). We aimed to understand the impact of pretransplant AT1R-abs with or without concomitant DSA on KT outcomes. METHODS: Seventy-six patients transplanted in 2009 were studied. DSA (MFI > 1000) and/or AT1R-abs (>10UI) were detected by solid-phase assays in pre-KT sera. Multivariable Cox regression models were used to determine independent predictors of outcomes: acute rejection (AR) and graft failure. RESULTS: At transplant, 48 patients were AT1R-abs (-)/DSA (-), 12 AT1R-abs (+)/DSA (-), 9 AT1R-abs (-)/DSA (+) and 7 AT1R-abs (+)/DSA (+). Incidence of acute rejection at 1-year increased from 6% in AT1R-abs (-)/DSA (-), to 35% in AT1R-abs (+)/DSA (-), 47% in AT1R-abs (-)/DSA (+) and 43% in AT1R-abs (+)/DSA (+) (P < 0.001). No difference in DSA strength and C1q-binding ability was observed between AT1R-abs (-) /DSA (+) and AT1R-abs (+)/DSA (+) patients. Graft survival at 6-years was the lowest in AT1R-abs (+)/DSA (+) (57%), followed by AT1R-abs (+)/DSA (-) (67%), and higher in AT1R-abs (-)/DSA (-) (94%) and AT1R-abs (-)/DSA (+) (89%) patients (P = 0.012). AT1R-abs (+)/DSA (-) (HR = 6.41, 95% CI: 1.43-28.68; P = 0.015) and AT1R-abs (+)/DSA (+) (HR = 7.75, 95% CI: 1.56-38.46; P = 0.012) were independent predictors of graft failure. CONCLUSION: Acute rejection incidence and graft failure were associated with both DSA and AT1R-abs. These results demonstrate a proper negative effect of AT1R-abs on graft outcomes, besides a synergistic one with DSA. Pretransplant AT1R-abs should be acknowledged to better stratify patients' immunological risk.

Determining donor-specific antibody C1q-binding ability improves the prediction of antibody-mediated rejection in human leucocyte antigen-incompatible kidney transplantation.

Detrimental impact of preformed donor-specific antibodies (DSAs) against human leucocyte antigens on outcomes after kidney transplantation are well documented, however, the value of their capacity to bind complement for predicting antibody-mediated rejection (AMR) and graft survival still needs to be confirmed. We aimed to study DSA characteristics (strength and C1q binding) that might distinguish harmful DSA from clinically irrelevant ones. We retrospectively studied 60 kidney-transplanted patients with preformed DSA detected by single antigen bead (SAB) assays (IgG and C1q kits), from a cohort of 517 kidney graft recipients (124 with detectable anti-HLA antibodies). Patients were divided into DSA strength (MFI < vs. ≥ 15 000) and C1q-binding ability. AMR frequency was high (30%) and it increased with DSA strength (P = 0.002) and C1q+ DSA (P < 0.001). The performance of DSA C1q-binding ability as a predictor of AMR was better than DSA strength (diagnostic odds ratio 16.3 vs. 6.4, respectively). Furthermore, a multivariable logistic regression showed that C1q+ DSA was a risk factor for AMR (OR = 16.80, P = 0.001), while high MFI DSAs were not. Graft survival was lower in high MFI C1q+ DSA in comparison with patients with C1q- high or low MFI DSA (at 6 years, 38%, 83% and 80%, respectively; P = 0.001). Both DSA strength and C1q-binding ability assessment seem valuable for improving pretransplant risk assessment. Since DSA C1q-binding ability was a better predictor of AMR and correlated with graft survival, C1q-SAB may be a particularly useful tool.

Changes in bone mineral density following long-term simultaneous pancreas-kidney transplantation.

The symptoms of chronic renal disease-related mineral and bone disease improve significantly in patients after successful simultaneous pancreas-kidney transplantation (SPKT); however, bone pathology is still present even after many post-transplant years. The aim of this study was to analyze the bone densitometry in different periods after SPKT. Three-point densitometry was performed with the dual-energy X-ray absorptiometry (DXA) technique. Serum levels of alkaline phosphatase (ALP), total serum calcium, phosphate and parathyroid hormone were analyzed as markers of mineral metabolism. The study population consisted of 48 patients (28 females, 20 males) with a mean age of 35 ± 6 years and mean 24 ± 6 years of prior diabetes. Mean period of maintenance dialysis was 36 ± 26 months. The median time from SPKT and DXA measurement was 0.53, 26.2 and 41.9 months, respectively. Based on the DXA technique, 35.4 % of patients were categorized as having osteoporosis at the lumbar spine and 39.6 % at the femoral neck. Patients with diagnosed osteoporosis had significantly higher levels of ALP (OR = 1.5; 95 % CI = 1.1-2.2; p < 0.05 at the lumbar spine; OR = 1.4; 95 % CI = 1.0-1.9; p < 0.05 at the femoral neck). In addition, subjects with lumbar osteoporosis were characterized by a significantly lower body mass index (BMI) (OR = 0.5; 95 % CI = 0.3-0.9; p < 0.05). In the long-term follow-up, BMD increased significantly at the lumbar spine (T-score -1.86 ± 1.07 to -1.08 ± 0.89) and femoral neck (T-score -2.12 ± 0.78 to -1.63 ± 0.65). A multivariate linear model identified a BMI increase as a significant factor associated with improvement in BMD. Results of our study led us to conclude that, according to three-point densitometry, BMD among patients with functioning kidney and pancreas grafts improved. Increased serum levels of ALP were significantly associated with a decrease in BMD, suggesting a higher risk of osteoporosis. BMI gain was predictive of BMD improvement.

Impact of de novo donor-specific anti-HLA antibodies on grafts outcomes in simultaneous pancreas-kidney transplantation.

De novo donor-specific antibodies (dDSA) relevance in simultaneous pancreas-kidney (SPK) transplantation has been scarcely investigated. We analyzed dDSA relationship with grafts outcomes in a long-term follow-up SPK-transplanted cohort. In 150 patients that received SPK transplant between 2000 and 2013, post-transplant anti-human leukocyte antigen (HLA) antibodies were screened and identified using Luminex-based assays in sera collected at 3, 6, and 12 months, then yearly. dDSA were detected in 22 (14.7%) patients at a median 3.1 years after transplant. Pretransplant anti-HLA sensitization (OR = 4.64), full HLA-DR mismatch (OR = 4.38), and previous acute cellular rejection (OR = 9.45) were significant risk factors for dDSA. dDSA were significantly associated with kidney (in association with acute rejection) and pancreas graft failure. In dDSA+ patients, those with at least one graft failure presented more frequently dDSA against class II or I + II (P = 0.011) and locusDQ (P = 0.043) and had a higher median dDSA number (P = 0.014) and strength (P = 0.030). Median time between dDSA emergence and pancreas and kidney graft failure was 5 and 12 months, respectively. Emergence of dDSA increased the risk of grafts failure in SPK-transplanted patients. Full HLA-DR mismatch was associated with dDSA emergence. dDSA characteristics might help identify patients at a higher risk of graft failure.

Health-related quality of life may improve after transplantation in pancreas-kidney recipients.

Pancreas-kidney transplantation (PKT) may significantly improve quality of life (HRQOL) in patients with type 1 diabetes. We have assessed the changes felt by PKT patients, using the Gastrointestinal Quality of Life Index (GIQLI) and EuroQol-5D questionnaires. Patients were asked to compare how their HRQOL had changed from pre-transplantation to the last visit. The 60 men and 66 women enrolled had a mean follow-up of five yr; 84.1% with both grafts, 15.9% with one graft functioning. In all domains of EuroQol-5D scores improved after PKT, as well as the visual analogue scale health state (from 38% to 84%, p < 0.001; effect size 3.34). In GIQLI, physical function was felt better after PKT than before (14.83 ± 3.86 vs. 7.86 ± 4.43, p < 0.001; effect size 1.68); the same was observed for psychological status, social function, and GI complaints. Concerning the burden of medical treatment, the score significantly improved (from 1.31 to 3.63, p < 0.001, effect size 2.02). The rate of unemployed patients decreased after PKT (from 50.8% to 36.5%, p < 0.001). Multivariate analysis showed that having only one functioning graft was associated with worse HRQOL scores (B = -5.157, p = 0.015). In conclusion, for all assessed domains, patients reported a significant improvement in HRQOL after PKT. Maintenance of the two grafts functioning predicted higher improvement of HRQOL scores.

The effect of delayed graft function on graft and patient survival in kidney transplantation: an approach using competing events analysis.

OBJECTIVE: In kidney transplantation, the impact of delayed graft function (DGF) on long-term graft and patient survival is controversial. We examined the impact of DGF on graft and recipient survival by accounting for the possibility that death with graft function may act as a competing risk for allograft failure. STUDY DESIGN AND SETTING: We used data from 1281 adult primary deceased-donor kidney recipients whose allografts functioned at least 1 year. RESULTS: The probability of graft loss occurrence is overestimated using the complement of Kaplan-Meier estimates (1-KM). Both the cause-specific Cox proportional hazard regression model (standard Cox) and the subdistribution hazard regression model proposed by Fine and Gray showed that DGF was associated with shorter time to graft failure (csHR = 2.0, P = 0.002; sHR = 1.57, P = 0.009), independent of acute rejection (AR) and after adjusting for traditional factors associated with graft failure. Regarding patient survival, DGF was a predictor of patient death using the cause-specific Cox model (csHR = 1.57, P = 0.029) but not using the subdistribution model. CONCLUSIONS: The probability of graft loss from competing end points should not be reported with the 1-KM. Application of a regression model for subdistribution hazard showed that, independent of AR, DGF has a detrimental effect on long-term graft survival, but not on patient survival.

Pancreas-Kidney transplantation: Impact of dialysis modality on the outcome.

It remains controversial whether dialysis modality prior to SPKT (simultaneous pancreas-kidney transplantation) affects the outcome. We analyzed outcomes in type 1 diabetic patients undergoing SPKT, comparing peritoneal dialysis (PD) and hemodialysis (HD) groups: 119 had been on HD; 39 on PD. They were comparable except regarding dialysis time, higher in HD patients (30 ± 23 vs. 21 ± 15 months, P = 0.003). Thrombosis-driven relaparotomy was more frequent in PD patients (12.8% vs. 1.7%, P = 0.014). Pancreas loss due to infection was higher in PD patients (12.8% vs. 3.4%, P = 0.042). Thrombosis-related kidney loss was more frequent in PD patients (5.1%, vs. 0% in HD patients, P = 0.058). Thirteen deaths occurred, more within the PD group (17.9% vs. 5%; P = 0.011), being infection the leading cause (13.5%, vs. 1.7% in HD patients, P = 0.010). Patient survival was inferior in PD patients. Besides PD, cardiovascular disease and graft failure were independent predictors of patient death. In conclusion, PD patients more frequently complicated with intra-abominal infection leading to pancreatic loss and with renal thrombosis, with adverse impact on survival. As a PD first strategy in end-stage renal disease patients is generally associated with good outcomes, these gloomier results after SPKT urge for careful adjustment of infection and thrombosis prophylactic protocols in PD patients.

Renal Artery Stenosis in Living Donor Kidney Transplantation: A Rare Cause of "Flash Edema".

Transplant renal artery stenosis (TRAS) is a well-recognized vascular complication after kidney transplantation, with an incidence ranging from 1% to 23%. TRAS often presents with clinical features such as refractory hypertension, de novo hypertension, allograft dysfunction, and the presence of a bruit over the graft. A rare manifestation of TRAS is flash pulmonary edema. Here, we present a case of a 37-year-old male who received a living donor kidney. Four years after the transplant, he presented with acute kidney injury, hypertensive crisis, and flash pulmonary edema. Initially, methylprednisolone pulses were administered due to suspicion of acute rejection, which was later ruled out after a kidney graft biopsy. Computed tomography angiography showed findings suggesting stenosis or thrombus in the renal artery. The patient developed sudden acute pulmonary edema, requiring hemodialysis, with notable clinical improvement. Subsequently, stent placement was performed without complications, resulting in the complete recovery of renal function and effective blood pressure control. The incidence of renal artery stenosis is higher in living donor kidney transplantation, mainly due to technical complexities during surgery. Acute presentations, such as flash edema, are exceptionally rare but can occur years after transplantation. Prompt intervention can lead to favorable outcomes.

Greater Impact of Living Donation Than HLA Mismatching in Short-Term Renal Allograft Survival.

INTRODUCTION: Living donor kidney transplantation (LDKT) is accepted as first-line treatment for patients with end-stage kidney disease with advantages over deceased donor kidney transplantation (DDKT). Still, how the known detrimental effect of HLA mismatch (MM) may hamper these advantages remains unsettled. We sought to determine the effect of the degree of HLA MM, separately in deceased and living donor renal allograft outcomes. METHODS: We evaluated all adults submitted to LDKT and DDKT at our center between 2006 and 2018. Their HLA MM was classified according to the British Society of Transplantation system in low mismatch (LM) (level 1-2) and high mismatch (HM) (level 3-4). Acute rejection (AR) and global or censored graft survival were the outcomes of interest. Recipients were followed up from transplant until death, graft failure or the end of 2020.  Results: One thousand sixty-eight kidney transplant recipients were analyzed, 815 (76%) received a DDKT whereas 253 (24%) received an LDKT. From those submitted to DDKT, 95 (12%) had an LM and 720 (88%) had an HM, whereas in LDKT 32 (13%) had an LM and 221 (87%) had an HM. The AR at one year was 9% in the full cohort. Significant risk factors for AR were HM DDKT (OR:2.3, P=0.047) or HM LDKT (OR:5.6, P=0.003) (LM DDKT as reference), calculated panel-reactive antibody (cPRA) ≥5% (OR:1.9, P=0.040) and delayed graft function (DGF), (OR:3.2, P<0.001). Censored graft survival (CGS) at five years was 96% in the full cohort. Independent predictors for censored graft failure (CGF) were HM LDKT (HR:0.2, P=0.046) (LM DDKT as reference), AR (HR:2.7, P=0.008) and DGF (HR:2.2, P=0.017). Global graft survival (GGS) at five years was 91% in the full cohort. Independent predictors for global graft failure (GGF) were HM LDKT (HR:0.2, P=0.042) (LM DDKT as reference), recipient age (HR:1.8, P<0.001) and DGF (HR:1.8, P=0.006). No AR, CGF or GGF episodes were observed in the LM LDKT group. CONCLUSIONS: In our cohort, the level of HLA MM increased the risk of AR independently of donor type. Considering short graft survival, our results support the advantage of living donor vs deceased donor even with an increased HLA MM. However, its effect on long-term graft survival remains to be settled, emphasizing the need for further studies on this matter.

CT volumetry performs better than nuclear renography in predicting estimated renal function one year after living donation.

The evaluation of split renal function (SRF) is a critical issue in living kidney donations and can be evaluated using nuclear renography (NR) or computerized tomography (CT), with unclear comparative advantages. We conducted this retrospective study in 193 donors to examine the correlation of SRF assessed by NR and CT volumetry and compared their ability to predict remaining donor renal function at 1 year, through multiple approaches. A weak correlation between imaging techniques for evaluating the percentage of the remaining kidney volume was found in the global cohort, with an R2 = 0.15. However, the Bland-Altman plot showed an acceptable agreement (95% of the difference between techniques falling within - 8.51 to 6.11%). The predicted and observed eGFR one year after donation were calculated using the CKD-EPI, and CG/BSA equations. CT volume showed a better correlation than NR for both formulas (adjusted R2 of 0.42. and 0.61 vs 0.37 and 0.61 for CKD-EPI and CG/ BSA equations, respectively). In non-nested modeling tests, CT volumetry was significantly superior to NR for both equations. CT volumetry performed better than NR in predicting the estimated renal function of living donors at 1-year, independently from the eGFR equation.