Abstract Background Since patient survival after kidney transplantation is significantly improved with a shorter time on dialysis, it is recommended to start the transplant workup in a timely fashion. Methods This retrospective study analyses the chronology of actions taken during the care for patients with chronic kidney disease (CKD) stage 5 who were waitlisted for a first kidney transplant at the Antwerp University Hospital between 2016 and 2019. We aimed to identify risk factors for a delayed start of the transplant workup (i.e. after dialysis initiation) and factors that prolong its duration. Results Of the 161 patients included, only 43% started the transplant workup before starting dialysis. We identified the number of hospitalization days {odds ratio [OR] 0.79 [95% confidence interval (CI) 0.69–0.89]; P < 0.001}, language barriers [OR 0.20 (95% CI 0.06–0.61); P = 0.005] and a shorter nephrology follow-up before CKD stage 5 [OR 0.99 (95% CI 1.0–0.98); P = 0.034] as factors having a significant negative impact on the probability of starting the transplant screening before dialysis. The workup took a median of 8.6 months (interquartile range 5–14) to complete. The number of hospitalization days significantly prolonged its duration. Conclusion The transplant workup was often started too late and the time needed to complete it was surprisingly long. By starting the transplant workup in a timely fashion and reducing the time spent on the screening examinations, we should be able to register patients on the waiting list before or at least at the start of dialysis. We believe that such an internal audit could be of value for every transplant centre.

BACKGROUND:The Kidney Donor Risk Index (KDRI) is a quantitative evaluation of the quality of donor organs and is implemented in the US allocation system. This single-centre study investigates whether the implementation of the KDRI in our decision-making process to accept or decline an offered deceased donor kidney, increases our acceptance rate. METHODS:From April 2015 until December 2016, we prospectively calculated the KDRI for all deceased donor kidney offers allocated by Eurotransplant to our centre. The number of the transplanted versus declined kidney offers during the study period were compared to a historical set of donor kidney offers. RESULTS:After implementation of the KDRI, 26.1% (75/288) of all offered donor kidneys were transplanted, compared with 20.7% (136/657) in the previous period (P < 0.001). The median KDRI of all transplanted donor kidneys during the second period was 0.97 [Kidney Donor Profile Index (KDPI) 47%], a value significantly higher than the median KDRI of 0.85 (KDPI 34%) during the first period (P = 0.047). A total of 68% of patients for whom a first-offered donor kidney was declined during this period were transplanted after a median waiting time of 386 days, mostly with a lower KDRI donor kidney. CONCLUSIONS:Implementing the KDRI in our decision-making process increased the transplantation rate by 26%. The KDRI can be a supportive tool when considering whether to accept or decline a deceased donor kidney offer. More data are needed to validate this score in other European centres.

AIM:To compare the performance of 3 published delayed graft function (DGF) calculators that compute the theoretical risk of DGF for each patient.METHODS:This single-center, retrospective study included 247 consecutive kidney transplants from a deceased donor. These kidney transplantations were performed at our institution between January 2003 and December 2012. We compared the occurrence of observed DGF in our cohort with the predicted DGF according to three different published calculators. The accuracy of the calculators was evaluated by means of the c-index (receiver operating characteristic curve).RESULTS:DGF occurred in 15.3% of the transplants under study. The c index of the Irish calculator provided an area under the curve (AUC) of 0.69 indicating an acceptable level of prediction, in contrast to the poor performance of the Jeldres nomogram (AUC = 0.54) and the Chapal nomogram (AUC = 0.51). With the Irish algorithm the predicted DGF risk and the observed DGF probabilities were close. The mean calculated DGF risk was significantly different between DGF-positive and DGF-negative subjects (P < 0.0001). However, at the level of the individual patient the calculated risk of DGF overlapped very widely with ranges from 10% to 51% for recipients with DGF and from 4% to 56% for those without DGF. The sensitivity, specificity and positive predictive value of a calculated DGF risk ≥ 30% with the Irish nomogram were 32%, 91% and 38%.CONCLUSION:Predictive models for DGF after kidney transplantation are performant in the population in which they were derived, but less so in external validations.

The influence of race on renal allograft survival is disputed. We studied 16 cadaveric renal transplants in 14 Maghrebian patients, each matched with two controls of local origin. Patient survival at 12 months was 93% in the Maghreb group and 97% in the control group (NS). Graft survivals at 3 months for these two groups were 73% and 97%, respectively (P<0.01). At 6 months, graft survival in the control group remained unchanged at 97%, whereas in the case group it declined further to 59% (P<0.01). Overall graft failure in the Maghreb group amounted to 44% (seven of 16 transplants). In each case, failure was due to biopsyproven acute rejection. Overall graft failure amongst the controls was only 6% (two of 32 transplants) (P=0.004) (only one case of acute rejection, or 3%) (P=0.01). This study provides evidence for significantly lower short-term renal graft survival in Maghrebian recipients of a Caucasian graft. Acute rejection seems to play a major causative role in graft loss in this group.