Risk factors of delayed graft function following living donor kidney transplantation: A meta-analysis

INTRODUCTION

Delayed graft function (DGF) is a common condition that necessitates dialysis during the first week after transplantation. Although DGF rarely occurs following living-donor kidney transplantation (LDKT), it may eventually lead to acute or chronic graft rejection. This study aimed to assess the risk factors for DGF in patients who underwent LDKT.

METHODS

A systematic review and meta-analysis of studies published before August 2022 was conducted using the PubMed, Science Direct, Cochrane, and Directory of Open Access Journal (DOAJ) databases. The review included studies that assessed the incidence of DGF following LDKT, and examined its risk factors, while excluding studies involving deceased donors. Potential risk factors were analyzed using pooled mean differences or odds ratios with 95% confidence intervals (CIs). Review Manager 5.3 was used for the meta-analysis.

RESULTS

Among the 13 included studies, 3685 cases of DGF were identified in a total of 113,261 patients (3.25%). Potential risk factors for DGF following LDKT were examined across several aspects, including donor, recipient, donor/recipient relationship, and immunological and intraoperative factors. The identified risk factors included older donors (P = 0.07), male recipients (P < 0.0001), higher recipient body mass index (BMI) (P < 0.0001), non-white recipients (P < 0.0001), pre-existing diabetes (P < 0.0001), pre-existing hypertension (P = 0.01), history of dialysis (P < 0.0001), re-transplantation (P = 0.004), unrelated donor/recipient (P = 0.02), ABO incompatibility (P < 0.0001), higher panel reactive antibody (PRA) levels (P < 0.0001), utilization of right kidney (P < 0.0001), and longer cold ischemia time (CIT) (P = 0.004).

CONCLUSION

Several factors related to the donor, recipient, donor/recipient relationship, and immunological and intraoperative aspects were identified as potential risk factors for the development of DGF following LDKT. Addressing and optimizing these factors may improve the long-term outcomes of LDKT.

Kidney transplantation in Icelandic patients, 2000-2019: are outcomes affected by low volume?

Background

In Iceland, a small number of kidney transplants from living donors (LDs) are performed at Landspitali University Hospital (LUH) in Reykjavik, while deceased donor transplants have until recently invariably been carried out abroad. In this study, we evaluated the outcome of kidney transplantation in Icelandic patients.

Methods

This was a retrospective study that included all Icelandic residents who underwent kidney transplantation between 1 January 2000 and 31 December 2019. Data were obtained from the Icelandic End-Stage Kidney Disease Registry, medical records at LUH, and the Scandiatransplant database. The Chronic Kidney Disease Epidemiology Collaboration equation was used to calculate estimated glomerular filtration rate from serum creatinine for recipients and donors aged >18 years, and the modified Schwartz equation for those aged ≤18 years. Survival was estimated using the Kaplan-Meier method, and the log-rank test was employed for group comparisons.

Results

A total of 229 kidney transplants in 221 patients were performed during the 20-year period, of which 135 (58.9%) were from LDs. Transplants carried out at LUH were 118 (51.5%), of which 116 were from LDs. During a median follow-up of 7.4 years (range 0.1-20), 27 (12.2%) patients died, 20 (74%) of whom had a functioning graft. One-year patient survival was 99.1% [95% confidence interval (CI), 97.9-100], 5-year survival was 95.7% (95% CI, 92.7-98.7), and 10-year survival was 87.7% (95% CI, 82.4-93.4). Death-censored graft survival was 98.3% (95% CI, 96.6-100), 96.8% (95% CI, 94.4-99.2), and 89.2% (95% CI, 84.1-94.7) at 1, 5, and 10 years, respectively.

Conclusions

Patient and graft survival are comparable with those of large transplant centers, demonstrating the feasibility of running a quality kidney transplant program in a small nation in collaboration with a larger center abroad.

The positive efficacy of dexmedetomidine on the clinical outcomes of patients undergoing renal transplantation: evidence from meta-analysis

INTRODUCTION

Whether dexmedetomidine (DEX), an anesthetic adjuvant, can improve renal transplant outcomes is not clear.

METHODS

We systematically identified clinical trials in which DEX was administered in renal transplantation (RT). On November 1, 2022, we searched The Cochrane Library, MEDLINE, EMBASE and https://www.

CLINICALTRIALS

gov/. The main outcomes were delayed graft function and acute rejection.

RESULTS

A total of seven studies were included in the meta-analysis. The results showed that compared with the control, DEX significantly reduced the occurrence of delayed graft function (RR 0.76; 95% CI 0.60-0.98), short-term serum creatinine [postoperative day (POD) 2: (MD -22.82; 95% CI -42.01 - -3.64)] and blood urea nitrogen [POD 2: (MD -2.90; 95% CI -5.10 - -0.70); POD 3: (MD 2.07; 95% CI -4.12 - -0.02)] levels, postoperative morphine consumption (MD -4.27; 95% CI -5.92 - -2.61) and the length of hospital stay (MD -0.85; 95% CI-1.47 - -0.23). However, DEX did not reduce the risk of postoperative acute rejection (RR 0.75; 95% CI 0.45-1.23). The results of the subgroup analysis showed that country type, donor type, and average age had a certain impact on the role of DEX.

CONCLUSIONS

DEX may improve the short-term clinical outcome of RT and shorten the length of hospital stay of patients.

Predictive Value of Camera-based Donor Glomerular Filtration Rate Estimation on the Immediate Renal Allograft Outcome Following Live-related Renal Transplant: A Single-center Retrospective Study

Purpose of the Study

The purpose of this study was to assess the association of measured glomerular filtration rate (mGFR) using camera-based method with early transplant outcomes.

Methodology

Diethylenetriamine pentaacetate renograms of all voluntary kidney donors between January 2016 and December 2022 at Kasturba Hospital, Manipal, India, were retrieved for the study. Recipients' posttransplant biochemical parameters were collected and compared against donors with scaled mGFR >80 ml/min/1.73 m2 (Group 1) and with mGFR between 60 and 80 ml/min/1.73 m2 (Group 2). Donor-recipient pair age, anthropometric parameters, and their differences were also assessed against the immediate transplant outcome. Posttransplant immediate graft function was assessed by posttransplant nadir serum creatinine, day to achieve nadir serum creatinine, the incidence of slow graft or delayed graft function, and serum creatinine at 1-month posttransplantation. Recipients with serum creatinine of >2.5 mg/dl on posttransplant day 7 were taken as slow graft function.

Results

A total of 161 donor-recipient pairs were analyzed in the study. In recipients who showed persistently high serum creatinine posttransplant, older donor age(p < 0.001), higher difference in body mass index among the donor-recipient pair (p= 0.03), and mGFR <80ml/min (p < 0.001) were significantly associated. Slow graft function was significantly more in Group II recipients, with donors having mGFR <80ml/min as compared to Group I with mGFR >80 ml/min (37.3% vs. 10.6%) (P < 0.001).

Conclusions

Camera-based mGFR using Gates' formula is a reliable tool to predict inferior graft outcomes in the immediate posttransplant period. Kidneys from donors with mGFR of 60-80 mL/min/1.73 m2 are likely to experience slow graft function in the immediate posttransplant period.

Effect of glycopyrrolate on the postoperative urine output of patients following kidney transplantation: a retrospective observational study

OBJECTIVES

To compare the urine output and estimated glomerular filtration rate (eGFR) of patients postoperatively administered sugammadex or glycopyrrolate 7 days following kidney transplantation (KT).

METHODS

We retrospectively enrolled 134 consecutive patients who underwent KT under general anesthesia. Their urine output and eGFR were recorded every 24 hours between postoperative day (POD) 1 and 7. We used regression analysis to evaluate the relationship between the reversal agent administered and the outcomes of the participants.

RESULTS

The urine output and eGFR of the participants did not differ between the two groups. Multivariate analysis showed that body mass index (BMI) (odds ratio (OR) 1.21; 95% confidence interval (CI) 1.05-1.40), diabetes mellitus (OR 3.14; 95% CI 1.07-9.16), neurovascular disease (OR 7.00; 95% CI 1.61-30.42), and the duration of surgery (OR 1.01; 95% CI 1.00-1.01) were associated with lower urine output on POD 7. In addition, only BMI (OR 1.25; 95% CI 1.09-1.42) was associated with low eGFR on POD 7.

CONCLUSIONS

The urine output and eGFR of patients administered sugammadex or glycopyrrolate following KT did not differ 7 days later. Moreover, glycopyrrolate does not affect urine output or eGFR on POD 7, according to multivariate regression analysis.

Prediction models for the recipients' ideal perioperative estimated glomerular filtration rates for predicting graft survival after adult living-donor kidney transplantation

Introduction

The impact of the perioperative estimated glomerular filtration rate (eGFR) on graft survival in kidney transplant recipients is yet to be evaluated. In this study, we developed prediction models for the ideal perioperative eGFRs in recipients.

Methods

We evaluated the impact of perioperative predicted ideal and actual eGFRs on graft survival by including 1,174 consecutive adult patients who underwent living-donor kidney transplantation (LDKT) between January 2008 and December 2020. Prediction models for the ideal perioperative eGFR were developed for 676 recipients who were randomly assigned to the training and validation sets (ratio: 7:3). The prediction models for the ideal best eGFR within 3 weeks and those at 1, 2, and 3 weeks after LDKT in 474 recipients were developed using 10-fold validation and stepwise multiple regression model analyzes. The developed prediction models were validated in 202 recipients. Finally, the impact of perioperative predicted ideal eGFRs/actual eGFRs on graft survival was investigated using Fine-Gray regression analysis.

Results

The correlation coefficients of the predicted ideal best eGFR within 3 weeks and the predicted ideal eGFRs at 1, 2, and 3 weeks after LDKT were 0.651, 0.600, 0.598, and 0.617, respectively. Multivariate analyzes for graft loss demonstrated significant differences in the predicted ideal best eGFR/actual best eGFR within 3 weeks and the predicted ideal eGFRs/actual eGFRs at 1, 2, and 3 weeks after LDKT.

Discussion

The predicted ideal best eGFR/actual best eGFR within 3 weeks and the predicted ideal eGFRs/actual eGFRs at 1, 2, and 3 weeks after LDKT were independent prognostic factors for graft loss. Therefore, the perioperative predicted ideal eGFR/actual eGFR may be useful for predicting graft survival after adult LDKT.

Diagnostic and therapeutic strategies for vascular complications after renal transplantation: a single-center experience in 2,304 renal transplantations

Vascular complications after renal transplantation are one of the serious surgical complications, which can affect the transplantation outcome and even endanger life if not treated properly. We performed a retrospective analysis of the 2,304 renal transplantations procedures completed between the period of Jan., 2015 and Jan., 2022, which consisted of 1,658 male patients and 646 female patients. Among the above cases, there were 54 cases of vascular complications after renal transplantation, the incidence of vascular complications in our study was 2.34% (54/2,304), the most common vascular complication was transplanted renal artery stenosis (TRAS, n = 36), followed by external iliac artery dissection (n = 5), renal artery rupture (n = 4), renal vein thrombosis (n = 3), renal artery thrombosis (n = 2), renal artery dissection (n = 1), renal artery pseudoaneurysm (n = 1), and internal iliac artery pseudoaneurysm (n = 1), and renal artery kinking (n = 1). 40 patients were treated by percutaneous transluminal angioplasty (PTA), including 3 balloon catheter dilatation and 37 endovascular stentings, and 14 underwent open surgery. Eventually, 9 patients had graft nephrectomy, resulting in an overall treatment rate of 81.5%. Most vascular complications can be treated satisfactorily with PTA. However, the overall treatment of renal artery rupture, thrombosis, renal artery kinking, and other complications is poor, and the rate of transplanted renal loss is high.

Delayed graft function in pediatric living donor kidney transplantation

BACKGROUND

Pediatric recipients of living donor kidneys have a low rate of delayed graft function (DGF). We examined the incidence, risk factors and outcomes of DGF in pediatric patients who received a living donor allograft.

METHODS

The STARfile was queried to examine all pediatric patients transplanted with a living donor kidney between 2000 and 2020. Donor and recipient demographic data were examined, as were survival and outcomes. Recipients were stratified into DGF and no DGF groups. DGF was defined as the need for dialysis within the first week after transplant.

RESULTS

6480 pediatric patients received a living donor (LD) kidney transplant during the study period. 269 (4.2%) developed DGF post-transplant. Donors were similar in age, creatinine, and cold ischemia time. Recipients of kidneys with DGF were similar in age, sensitization status and HLA mismatch. Focal segmental glomerulosclerosis (FSGS) was the most common diagnosis in recipients with DGF, and allograft thrombosis was the most common cause of graft loss in this group. Small recipients (weight < 15 kg) were found to have a significantly higher rate of DGF. Length of stay doubled in recipients with DGF, and rejection rates were higher post-transplant. Recipients of LD kidneys who developed DGF had significantly worse 1 year allograft survival (67% vs. 98%, p < .0001).

CONCLUSIONS

Pediatric living donor kidney transplant recipients who experience DGF have significantly poorer allograft survival. Optimizing the donor and recipient matching to avoid compounding risks may allow for better outcomes.

Successful ABO and HLA incompatible kidney transplantation in children in the UK

BACKGROUND

There is increasing evidence of good short-term and medium-term outcomes of ABO incompatible (ABOi) and HLA incompatible (HLAi) kidney transplantation with pre-transplant positive crossmatches in paediatric practice. However, there remain concerns regarding the higher risks of infective complications and antibody-mediated rejections. The aim of our study is to show longer-term follow-up on all ABOi and HLAi paediatric kidney transplant recipients (pKTR) in the UK.

METHODS

Questionnaires specifying kidney transplant type, desensitisation requirement and kidney allograft function were sent to 13 paediatric nephrology centres that performed kidney transplantation in children and young people under 18 years of age who received an ABOi and/or HLAi transplant between 1 January 2006 and 31 December 2016. Patient and kidney allograft survival were compared between ABOi, HLAi and ABO/HLA compatible (ABOc/HLAc) groups.

RESULTS

Among 711 living donor kidney transplants performed in the UK, 23 were ABOi and 6 were HLAi. Patient survival was 87%, 100% and 96% in ABOi, HLAi and ABOc/HLAc groups, respectively, at median follow-up of 6.8 (3.6-14.0) years post-transplant. Death-censored kidney allograft survival was 100% in all 3 groups at last follow-up. There were no cases of primary non-function in ABOi or HLAi groups, but 2% in the ABOc/HLAc group. There was one reported case of Epstein-Barr viral-induced post-transplant lymphoproliferative disorder.

CONCLUSION

Longer term follow-up has shown that ABOi and HLAi kidney transplantation are feasible for pKTR where no compatible donors are available, and that minimising desensitisation should be achieved where possible. A higher resolution version of the Graphical abstract is available as Supplementary information.

High Perirenal Fat Volume Affect Negatively Renal Function in Living Renal Transplantation

OBJECTIVE

We aimed to investigate the effect of perirenal fat volume (PFV) on graft functions by calculating the PFV of donor kidney with routine computed tomography before renal transplantation.

METHODS

From May 2019 to December 2020, a total of 54 living donors and recipients who met the criteria for kidney donor were included in the study. Left donor nephrectomy was performed to all donors. Data of age, sex, body mass index (BMI), PFV of the donors, estimated glomerular filtration rate (eGFR), and serum creatinine measurement data of the recipients were recorded. Serum creatinine and eGFR of the recipients were recorded at the 12th month controls. The patients were sorted into 2 groups (G) according to their GFR values. G1, GFR <60 mL/min/1.73 m²; G2, GFR ≥ 60 mL/min/1.73 m².

RESULTS

There was no difference in terms of recipient sex, recipient age, donor sex, recipient BMI, and donor BMI between the 2 groups. The mean of PFV was higher in G1 and was statistically significant (P= 0.01). The ability of the donor BMI and PFV to predict G2 was evaluated by receiver operating characteristic curve analysis. It was determined that PFV predicted G2 to be statistically significant. In the multivariate logistic regression analysis, PFV (odds ratio = 0.988, 95% GA = 0.977-0.999, P = 0.03) was found as an independent predictor of G2.

CONCLUSIONS

In conclusion, our study showed PFV as an independent risk factor for low eGFR, revealing that the previously documented relevance of increased BMI with a low eGFR can be partially explained by PFV.

Postoperative day 1 serum cystatin C level predicts postoperative delayed graft function after kidney transplantation

Background

Delayed graft function (DGF) commonly occurs after kidney transplantation, but no clinical predictors for guiding post-transplant management are available.

Materials and methods

Data including demographics, surgery, anesthesia, postoperative day 1 serum cystatin C (S-CysC) level, kidney functions, and postoperative complications in 603 kidney transplant recipients who met the enrollment criteria from January 2017 to December 2018 were collected and analyzed to form the Intention-To-Treat (ITT) set. All perioperative data were screened using the least absolute shrinkage and selection operator. The discrimination, calibration, and clinical effectiveness of the predictor were verified with area under curve (AUC), calibration plot, clinical decision curve, and impact curve. The predictor was trained in Per-Protocol set, validated in the ITT set, and its stability was further tested in the bootstrap resample data.

Result

Patients with DGF had significantly higher postoperative day 1 S-CysC level (4.2 ± 1.2 vs. 2.8 ± 0.9 mg/L; P < 0.001), serum creatinine level (821.1 ± 301.7 vs. 554.3 ± 223.2 μmol/L; P < 0.001) and dialysis postoperative (74 [82.2%] vs. 25 [5.9%]; P < 0.001) compared with patients without DGF. Among 41 potential predictors, S-CysC was the most effective in the parsimonious model, and its diagnostic cut-off value was 3.80 mg/L with the risk score (OR, 13.45; 95% CI, 8.02–22.57; P < 0.001). Its specificity and sensitivity indicated by AUC was 0.832 (95% CI, 0.779–0.884; P < 0.001) with well fit calibration. S-CysC yielded up to 50% of clinical benefit rate with 1:4 of cost/benefit ratio.

Conclusion

The postoperative day 1 S-CysC level predicts DGF and may be used as a predictor of DGF but warrants further study.

Association Between Side of Living Kidney Donation and Post-Transplant Outcomes

Background: Right-sided living donor kidneys have longer renal arteries and shorter veins that make vascular anastomosis more challenging. We sought to determine whether recipients of right-sided living donor kidneys have worse outcomes than left-sided kidney recipients.

Methods: An observational analysis of the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA) was undertaken. We used adjusted logistic regression to determine the association between side and delayed graft function (DGF) and time-stratified adjusted cox regression models for graft and patient survivals.

Results: Between 2004 and 2018, 4,050 living donor kidney transplants were conducted with 696 (17.2%) using right kidneys. With reference to left kidneys, the adjusted OR (95% CI) for DGF was 2.01 (1.31–3.09) for recipients with right kidneys. Within 30 days, 46 allografts (1.4%) were lost, with major causes of overall graft loss being technical, primary non-function and death. Recipients of right donor kidneys experienced a greater risk of early graft loss (aHR 2.02 [95% CI 1.06–3.86], p = 0.03), but not beyond 30 days (aHR 0.97 [95% CI 0.80–1.19], p = 0.8]).

Conclusion: Technical challenge is the most common cause of early graft loss. The risk of early graft loss among recipients who received right kidneys is doubled compared to those who received left living donor kidneys.

Pretransplant endotrophin predicts delayed graft function after kidney transplantation

Delayed graft function after kidney transplantation is common and increases morbidity and health care costs. There is evidence that endotrophin, a specific fragment of pro-collagen type VI, promotes the inflammatory response in kidney diseases. We tested the hypothesis that pretransplant endotrophin in kidney transplant recipients may be associated with the risk of delayed graft function. Pretransplant plasma endotrophin was assessed using an enzyme-linked immunosorbent assay in three independent cohorts with 806 kidney transplant recipients. The primary outcome was delayed graft function, i.e., the necessity of at least one dialysis session within one-week posttransplant. In the discovery cohort median pretransplant plasma endotrophin was higher in 32 recipients (12%) who showed delayed graft function when compared to 225 recipients without delayed graft function (58.4 ng/mL [IQR 33.4-69.0]; N = 32; vs. 39.5 ng/mL [IQR 30.6-54.5]; N = 225; P = 0.009). Multivariable logistic regression, fully adjusted for confounders showed, that pretransplant plasma endotrophin as a continuous variable was independently associated with delayed graft function in both validation cohorts, odds ratio 2.09 [95% CI 1.30-3.36] and 2.06 [95% CI 1.43-2.97]. Pretransplant plasma endotrophin, a potentially modifiable factor, was independently associated with increased risk of delayed graft function and may be a new avenue for therapeutic interventions.

A retrospective case-control study exploring pre-transplant predictors for loss of kidney transplant function or death among Indigenous kidney transplant recipients

A retrospective case-control study was conducted, to identify risk factors for loss of kidney transplant function or death among the Indigenous kidney transplant recipients, beyond the information available from Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry.

METHODS

Cases were defined as all Australian Indigenous kidney transplant recipients from 1st January 2005 to 31 December 2015 from the major hospitals in the Northern Territory (NT) and South Australia (SA) who experienced graft loss (including patient death) up to two-years post-transplant. Controls (matched 4:1) were defined as all Indigenous kidney transplant recipients during the same period with functioning transplants at two-years post-transplant operation. Matching was done on gender and diabetes status. Regression analysis adjusted for age was used for comparing cases and controls.

RESULTS

There were 17 cases and 68 matched controls. Among cases, the odds ratio for more than one hospital admission episode (compared to ≤1 episode) in the two years pre-transplant period was 6.2 (95% CI, 1.2-32.5). However, there were no significant differences in the frequency of comorbidities at renal replacement therapy start, cardiovascular intervention pre-transplant, pre-transplant infection screening, age and gender of the donors, frequency of admission episodes where an infection was documented, the total length of inpatient stay or admission to intensive care unit during pre-transplant hospital admission between cases and controls.

CONCLUSION

Early graft loss was associated with a higher frequency of hospital admissions in the two-years pre-transplant period. In contrast, other measured factors in the pre-transplant period did not predict these adverse outcomes. This article is protected by copyright. All rights reserved.

Advances in Kidney Preservation Techniques and Their Application in Clinical Practice

The use of cold preservation solutions to rapidly flush and cool the kidney followed by static cold storage in ice has been the standard kidney preservation technique for the last 50 y. Nonetheless, changing donor demographics that include organs from extended criteria donors and donation after circulatory death donors have led to the adoption of more diverse techniques of preservation. Comparison of hypothermic machine perfusion and static cold storage techniques for deceased donor kidneys has long been debated and is still contested by some. The recent modification of hypothermic machine perfusion techniques with the addition of oxygen or perfusion at subnormothermic or near-normothermic temperatures are promising strategies that are emerging in clinical practice. In addition, the use of normothermic regional perfusion to resuscitate abdominal organs of donation after circulatory death donors in situ before cold flushing is also increasingly being utilized. This review provides a synopsis of the different types of preservation techniques including their mechanistic effects and the outcome of their application in clinical practice for different types of donor kidney.

Renal Outcomes After Simultaneous Liver-Kidney Transplantation: Results from the US Multicenter Simultaneous Liver-Kidney Transplantation Consortium

Simultaneous liver-kidney transplantation (SLKT) is increasingly common in the United States. However, little is known about the renal-related outcomes following SLKT, which are essential to maximize the health of these allografts. We examined the factors impacting renal function following SLKT. This is an observational multicenter cohort study from the US Multicenter SLKT Consortium consisting of recipients of SLKT aged ≥18 years of transplantations performed between February 2002 and June 2017 at 6 large US centers in 6 different United Network for Organ Sharing regions. The primary outcome was incident post-SLKT stage 4-5 chronic kidney disease (CKD) defined as <30 mL/minute/1.73 m² or listing for kidney transplant. The median age of the recipients (n = 570) was 58 years (interquartile range, 51-64 years), and 37% were women, 76% were White, 33% had hepatitis C virus infection, 20% had nonalcoholic steatohepatitis (NASH), and 23% had alcohol-related liver disease; 68% developed ≥ stage 3 CKD at the end of follow-up. The 1-year, 3-year, and 5-year incidence rates of post-SLKT stage 4-5 CKD were 10%, 12%, and 16%, respectively. Pre-SLKT diabetes mellitus (hazard ratio [HR], 1.45; 95% CI, 1.00-2.15), NASH (HR, 1.58; 95% CI, 1.01-2.45), and delayed kidney graft function (HR, 1.72; 95% CI, 1.10-2.71) were the recipient factors independently associated with high risk, whereas the use of tacrolimus (HR, 0.44; 95% CI, 0.22-0.89) reduced the risk. Women (β = -6.22 ± 2.16 mL/minute/1.73 m² ; P = 0.004), NASH (β = -7.27 ± 3.27 mL/minute/1.73 m² ; P = 0.027), and delayed kidney graft function (β = -7.25 ± 2.26 mL/minute/1.73 m² ; P = 0.007) were independently associated with low estimated glomerular filtration rate at last follow-up. Stage 4-5 CKD is common after SLKT. There remains an unmet need for personalized renal protective strategies, specifically stratified by sex, diabetes mellitus, and liver disease, to preserve renal function among SLKT recipients.

Long Hemodialysis Duration Predicts Delayed Graft Function in Renal Transplant Recipients From Living Donor: A Single-Center Study

BACKGROUND

This study aims to determine the ratio of delayed graft function in renal transplant recipients from living donors and the predictive value of hemodialysis time before transplant for delayed graft function.

METHODS

We conducted a study on 116 adult patients who were diagnosed with end-stage kidney disease and were treated with hemodialysis and transplanted kidneys from living donors for 2 years (from June 2018 to June 2020). Delayed graft function event was collected for each patient.

RESULTS

The recipients had a median age of 36.5 years old, in which 55.2% of them were men, 4.3% of them had the diabetic mellitus, and the median hemodialysis duration was 6 months. The ratio of positive panel-reactive antibody was 33.6% and vascular reconstruction of the donor's kidney was 16.4%. The ratio of delayed graft function was 12.2% (14 of 116 patients). Delayed graft function significantly related to positive panel-reactive antibody, long duration of hemodialysis before transplant, and vascular reconstruction of donor's kidney with P < .001. Duration of hemodialysis before kidney transplant had a predictive value for delayed graft function (area under the curve, 0.83; P < .001).

CONCLUSION

Delayed graft function was not rare in renal transplant recipients from living donors. Duration of hemodialysis before kidney transplant was a good predictor for delayed graft function.

Incidence Rate and Predictors of Delayed Graft Function Among Adult Kidney Transplant Recipients at a Tertiary Care Hospital in Riyadh, Saudi Arabia

Background

Delayed graft function (DGF) is the most common early postoperative complication of renal transplantation. The occurrence of DGF can lead to both early and late devastating consequences on the allograft’s survival. The risk of developing this complication can increase with certain factors that are related to both the donor and the recipient. In the present study, we aimed to detect the incidence rate of DGF among patients attending a tertiary care hospital in Riyadh, Saudi Arabia, and to investigate potential predictors of DGF.

Materials and methods

This retrospective chart review was conducted at King Abdulaziz Medical City (KAMC), a tertiary care hospital in Riyadh, Saudi Arabia. The inclusion criteria were all patients, 18 years or older, who had renal transplantation from January 1, 2016, to March 31, 2020. Patients who had a second renal transplant, or renal transplantation in a different hospital and were followed up at KAMC were excluded. Patients’ medical records were accessed using the BESTCare electronic system to obtain the patients’ demographic data. A Chi-square test was used to test for the association between a predictor and a delay in graft function.

Results

A total of 344 patients were enrolled in the present study, approximately half of whom were males (56.6%, n=189). Around one-half (49.4%) were aged between 40 and 64 years. The most common cause of renal failure was hypertension, which was found in 117 (35%) patients, followed by diabetes mellitus (DM) in 94 (28.1%) patients. Most organ donors 258 (77.2%) were alive. A total of 23 (6.9%) participants developed DGF. Mycophenolate mofetil (MMF) was found to be significantly associated with DGF (P < 0.001). Those who took MMF (5.9%) had a significantly lower rate of DGF compared to those who did not (36.4%). A significantly higher rate of DGF was seen in patients whose transplants were taken from deceased donors (15.5%) compared to living donor transplants (3.9%). Gender, age, body mass index (BMI), recipient blood type, donor blood type, and cause of renal failure were not associated with DGF.

Conclusions

Only 6.9% of the study’s participants exhibited DGF. The observed rate was lower than the ones detected in the literature. Those who took MMF had a significantly lower rate of DGF compared to those who did not. Transplants of deceased donors (15.5%) showed a significantly higher rate of DGF. Larger multicenter studies are required to further investigate DGF in a region with a high prevalence of organ failure and a higher need for transplantations, such as Saudi Arabia.

Delayed graft function and acute rejection following HLA-incompatible living donor kidney transplantation

Incompatible living donor kidney transplant recipients (ILDKTr) have pre-existing donor-specific antibody (DSA) that, despite desensitization, may persist or reappear with resulting consequences, including delayed graft function (DGF) and acute rejection (AR). To quantify the risk of DGF and AR in ILDKT and downstream effects, we compared 1406 ILDKTr to 17 542 compatible LDKT recipients (CLDKTr) using a 25-center cohort with novel SRTR linkage. We characterized DSA strength as positive Luminex, negative flow crossmatch (PLNF); positive flow, negative cytotoxic crossmatch (PFNC); or positive cytotoxic crossmatch (PCC). DGF occurred in 3.1% of CLDKT, 3.5% of PLNF, 5.7% of PFNC, and 7.6% of PCC recipients, which translated to higher DGF for PCC recipients (aOR = _1.03 1.68_2.72 ). However, the impact of DGF on mortality and DCGF risk was no higher for ILDKT than CLDKT (p interaction > .1). AR developed in 8.4% of CLDKT, 18.2% of PLNF, 21.3% of PFNC, and 21.7% of PCC recipients, which translated to higher AR (aOR PLNF = _1.45 2.09_3.02 ; PFNC = _1.67 2.40_3.46 ; PCC = _1.48 2.24_3.37 ). Although the impact of AR on mortality was no higher for ILDKT than CLDKT (p interaction = .1), its impact on DCGF risk was less consequential for ILDKT (aHR = _1.34 1.62_1.95 ) than CLDKT (aHR = _1.96 2.29_2.67 ) (p interaction = .004). Providers should consider these risks during preoperative counseling, and strategies to mitigate them should be considered.

Risk factors for delayed graft function and their impact on graft outcomes in live donor kidney transplantation

BACKGROUND

Delayed graft function (DGF) is a manifestation of acute kidney injury uniquely framed within the transplant process and a predictor of poor long-term graft function1. It is less common in the setting of living donor (LD) kidney transplantation. However, the detrimental impact of DGF on graft survival is more pronounced in LD2.

PURPOSE

To study the effects of DGF in the setting of LD kidney transplantation.

METHODS

We performed a retrospective analysis of LD kidney transplantations performed between 2010 and 2018 in the UNOS/OPTN database for DGF and its effect on graft survival.

RESULTS

A total of 42,736 LD recipients were identified, of whom 1115 (2.6%) developed DGF. Recipient dialysis status, male gender, diabetes, end-stage renal disease, donor age, right donor nephrectomy, panel reactive antibodies, HLA mismatch, and cold ischemia time were independent predictors of DGF. Three-year graft survival in patients with and without DGF was 89% and 95%, respectively. DGF was the greatest predictor of graft failure at three years (hazard ratio = 1.766, 95% CI: 1.514-2.059, P = 0.001) and was associated with higher rates of rejection (9% vs. 6.28%, P = 0.0003). Among patients with DGF, the graft survival rates with and without rejection were not different.

CONCLUSION

DGF is a major determinant of poor graft functional outcomes, independent of rejection.

Outcomes and surgical complications following living-donor renal transplantation using kidneys retrieved with trans-peritoneal or retro-peritoneal hand-assisted laparoscopic nephrectomy

The best minimally invasive procedure for living-donor kidney retrieval remains debated. Our objective was to assess trans-peritoneal (TP) and retro-peritoneal (RP) hand-assisted laparoscopic donor nephrectomy (HALDN). In this single-center retrospective study, we analyzed results from 317 living-donor renal transplants (RT) performed between 2008 and 2016. Donor and recipient outcomes were compared between TP-HALDN (n = 235) and RP-HALDN (n = 82). Conversion to open nephrectomy (0.4% vs 0%; P = 1.000), intra-operative complications (1.7% vs 1.2%; P = 1.000), and 1-year overall post-operative complications (11.9% vs 17.1%; P = .258) rates were similar in TP-HALDN and RP-HALDN. Overall surgical site infections were higher in RP-HALDN (6.1% vs 1.7%; P = .053), whereas incisional hernias were only recorded following TP-HALDN (3.4% vs 0%; P = .118). The duration of the procedure was 11-minute shorter for TP-HALDN than RP-HALDN (P < .001) but extraction time was equivalent (2, IQR 1.5-2.5 minutes; P = 1.000). RT following TP-HALDN and RP-HALDN showed comparable one-year death-censored allograft survival (97% vs 98.8%; P = .685), primary non-function (0.4% vs 0%; P = .290), delayed graft function (1.3% vs 4.9%; P = .077), and urological complications (2.6% vs 4.9%; P = .290) rates. In our series, donor and recipient outcomes were not substantially affected by the approach used for donor nephrectomy. TP-HALDN and RP-HALDN were both safe and effective.

Deceased vs. living donor kidney transplantation in prediction of acute renal allograft rejection using Tc-99m DTPA renal scan

OBJECTIVES

No data are available regarding different prognostic values of Tc-99m diethylenetriaminepentaacetic acid (DTPA) renal scan in kidney transplantation (KT) recipients according to two distinct donor types: deceased donor KT (DDKT) and living donor KT (LDKT). We evaluated whether the interpretation of Tc-99m DTPA renal scan should be different by the donor type in predicting acute renal allograft rejection (AR).

METHODS

One hundred and seven KT recipients (61 DDKT and 46 LDKT) were included in this study. Tc-99m DTPA renal scan was performed 1 week after KT. AR was defined as pathological evidence of renal allograft rejection during the first 6 months of KT. Clinical factors and Tc-99m DTPA renal scan findings were compared between patients with and without AR. To further analyze the effect of the donor type, they were again compared within DDKT and LDKT recipients, respectively.

RESULTS

AR occurred in 15 patients (7 DDKT and 8 LDKT recipients). Among all patients, time to peak uptake (TTP) of the cortex (TTP_CX) measured by Tc-99m DTPA renal scan was independently predictive of AR. Moreover, TTP_KD (TTP of the whole transplanted kidney) and TTP_CX were the only predictors of AR among DDKT recipients. The most accurate predictors were TTP_CX and kidney area on renal scan for DDKT and LDKT, respectively. However, these parameters could not predict AR for the opposite donor type.

CONCLUSIONS

AR could be effectively predicted by Tc-99m DTPA renal scan obtained at 1 week post-KT. Different parameters should be applied according to the donor type in the prediction of AR.