Access to preemptive registration on the waiting list for renal transplantation: a hierarchical modeling approach

Preemptive kidney transplantation is associated with both longer patient and graft survival. This study was carried out to estimate the association between the renal units and preemptive registration on the waiting list for first deceased donor renal transplantation in a French network of care. From 2008 to 2012, 1529 adult patients followed in 48 units of the French North‐West network and registered on the waiting list for a first deceased donor renal allograft were included. We used a mixed logistic regression with renal units as random‐effects term for statistical analysis. Of the 1529 patients included, 407 were placed on the waiting list preemptively. There was a significant variability across renal units (variance 0.452). In multivariate analysis, factors independently associated with preemptive registration were cardiovascular disease (odds ratio (OR) 0.57, [95% CI: 0.42–0.79]), social deprivation (OR 0.73, [95% CI 0.57–0.94]), and renal units' characteristics (ownership of the facility: academic hospital, reference—community hospital, OR 0.44, [95% CI 0.24–0.80]—private hospital, OR 0.35, [95% CI 0.18–0.69] and transplant center; P < 0.10]. Variability between renal units was reduced after taking into account their characteristics but was not influenced by patient characteristics. Preemptive registration is associated with renal units, transplant centers, and social deprivation and can be partly explained by disparities in practices.     

Differences in perceived health status between kidney transplant recipients and dialyzed patients are based mainly on the selection process

Rosenberger J, van Dijk JP, Prihodova L, Majernikova M, Nagyova I, Madarasova Geckova A, Roland R, van den Heuvel WJA, Groothoff JW. Differences in perceived health status between kidney transplant recipients and dialyzed patients are based mainly on the selection process.
Clin Transplant 2010: 24: 358–365. © 2009 John Wiley & Sons A/S. Abstract: Kidney transplantation offers longer survival, less morbidity and lower costs than dialysis. It is also believed to improve quality of life. The aim of this study was to compare prospectively the perceived health status (PHS) of dialyzed patients on a waiting list with kidney transplant recipients after transplantation, matched for age, gender and comorbidity. The sample consisted of 93 dialyzed patients on a waiting list for deceased‐donor kidney transplantation and 87 incident transplant recipients. A total of 62 dialyzed patients were matched for age, gender and comorbidity with 62 transplant recipients. PHS was measured using the SF‐36 questionnaire. Data from baseline and after 12 months were compared between the groups. Patients on dialysis had worse physical (49 ± 21) and mental (59 ± 18) PHS than transplant recipients (56 ± 21 and 64 ± 18, p ≤ 0.05), but when matched pairs were compared, no differences in PHS were found. After 12 months, PHS did not change significantly in either group. The PHS of patients after kidney transplantation is better than that of those on dialysis. However, this fact is significantly influenced by the selection procedure, as only some dialyzed patients are put onto the waiting list while others were actually transplanted. The differences disappear with matching.     

Local Variation in Inclusion on Kidney Transplant Waiting Lists: Analysis in the Reference Area of a Kidney Transplant Center

Background

Access for end-stage renal disease (ESRD) patients to the renal transplant (RT) waiting list can vary depending on the criteria used and how they are applied in each dialysis unit.

Recipient's unemployment restricts access to renal transplantation

Equitable distribution of a scarce resource such as kidneys for transplantation can be a challenging task for transplant centers. In this study, we evaluated the association between recipient's employment status and access to renal transplantation in patients with end‐stage renal disease (ESRD). We used data from the United States Renal Data System (USRDS). The primary variable of interest was employment status at ESRD onset. Two outcomes were analyzed in Cox model: (i) being placed on the waiting list for renal transplantation or being transplanted (whichever occurred first); and (ii) first transplant in patients who were placed on the waiting list. We analyzed 429 409 patients (age of ESRD onset 64.2 ± 15.2 yr, 55.0% males, 65.1% White). Compared with patients who were unemployed, patients working full time were more likely to be placed on the waiting list/transplanted (HR 2.24, p < 0.001) and to receive a transplant once on the waiting list (HR 1.65, p < 0.001). Results indicate that recipient's employment status is strongly associated with access to renal transplantation, with unemployed and partially employed patients at a disadvantage. Adding insurance status to the model reduces the effect size, but the association still remains significant, indicating additional contribution from other factors.     

Renal transplantation in elderly patients older than 70 years of age: results from the Scientific Registry of Transplant Recipients

BACKGROUND: Elderly patients (ages 70 yr and older) are among the fastest-growing group starting renal-replacement therapy in the United States. The outcomes of elderly patients who receive a kidney transplant have not been well studied compared with those of their peers on the waiting list. METHODS: Using the Scientific Registry of Transplant Recipients, we analyzed data from 5667 elderly renal transplant candidates who initially were wait-listed from January 1, 1990 to December 31, 2004. Of these candidates, 2078 received a deceased donor transplant, and 360 received a living donor transplant by 31 December 2005. Time-to-death was studied using Cox regression models with transplant as a time-dependent covariate. Mortality hazard ratios (RRs) of transplant versus waiting list were adjusted for recipient age, sex, race, ethnicity, blood type, panel reactive antibody, year of placement on the waiting list, dialysis modality, comorbidities, donation service area, and time from first dialysis to first placement on the waiting list. RESULTS: Elderly transplant recipients had a 41% lower overall risk of death compared with wait-listed candidates (RR=0.59; P<0.0001). Recipients of nonstandard, that is, expanded criteria donor, kidneys also had a significantly lower mortality risk (RR=0.75; P<0.0001). Elderly patients with diabetes and those with hypertension as a cause of end-stage renal disease also experienced a large benefit. CONCLUSIONS: Transplantation offers a significant reduction in mortality compared with dialysis in the wait-listed elderly population with end-stage renal disease.     

Factors Influencing Short-Term Patient Survival in Elderly Kidney Transplant Recipients

BackgroundFor the average patient with end-stage renal disease, kidney transplantation improves quality of life and prolongs survival compared with patients on the transplant waiting list who remain on dialysis. Patients ≥65 years of age represent an increasing proportion of adults with end-stage renal disease, and kidney transplantation outcomes remain controversial in this population. The aim of this study was to evaluate factors that may increase 1-year mortality after renal transplantation in older recipients.MethodsA retrospective study that included 147 patients (75.5% men) ≥65 years old (mean age 67.5 ± 2 years) who were transplanted between January 2011 and December 2020. The mean follow-up was 52.6 ± 27.2 months.ResultsRehospitalization (<1 year) occurred in 39.5% of patients. Infectious complications were present in 18.4% of patients. The overall mortality rate was 23.1%, and 1-year mortality was 6.8%. As 1-year mortality predictors, we found a positive correlation with factors related to kidney transplant, such as cold ischemia time (P = .003), increasing donor age (P = .001); and factors related to the receptor such as pretransplantation dialysis modality as peritoneal dialysis (P = .04), cardiovascular disease (P = .004), delayed graft function (P = .002), early cardiovascular complications after kidney transplant (P < .001), and early rehospitalizations (P < .001). No correlation was found between 1-year mortality and age, sex, race, body mass index, and type of kidney transplant.ConclusionA more rigorous pretransplant evaluation, focusing on cardiovascular disease and strict exclusion criteria, is recommended for patients ≥65 years old.     

Live and Deceased Donor Kidney Transplantation in Patients Aged 75 years and Older in the United States

Objective: To examine the outcomes of geriatric ESRD patients selected for kidney transplantation. Design: Data were extracted from the USRDS Standard Analysis Files (SAF). All persons ages 75 and over who received a kidney transplant from 1994 to 2000 were compared with those remaining on dialysis or on a transplant waiting list. Data on mortality or removal from the waiting list were obtained from the United Network for Organ Sharing (UNOS). The main outcome measure was patient and kidney transplant survival. Results: Superior five year survival after kidney transplantation was attained by the geriatric cohort given a live donor transplant (59.9%), compared with recipients of deceased donor kidneys (40.3%), dialysis patients waiting for transplant (29.7%), and those who were not selected for kidney transplantation and remained on dialysis (12.5%). The likelihood of being removed from the waiting list for any reason was higher in this group (over 75) (30.3%) than in the 66–75 age group (26.8%). Their average annual mortality rate on the waiting list was 7.9, compared to 6.6% for those 66–75. Conclusion: Even after the age of 75 years, kidney transplantation provides substantial life prolongation and excellent graft survival. USRDS Disclaimer: The data reported here have been supplied by the United States Renal Data System (USRDS) and the United Network for Organ Sharing (UNOS). The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as official policy or interpretation of the US government.     

Qui sont ces patients en dialyse non inscrits sur liste d’attente de greffe rénale ?

Access to kidney transplants for patients with end-stage chronic renal disease is a major challenge in France. Registration on the transplant waiting list is a mandatory step to be able to access this technique. The Haute Autorité de santé (HAS) updated, in 2015, the contraindications to access this list. In this context, we wanted to make an inventory of the reasons for non-registration on the renal transplant waiting list in patients on dialysis for at least a year, aged less than 80 years, in France. All patients included in the Epidemiology and Nephrology Information Register (REIN), who were supposed to have their annual monitoring point from August 1 to November 30, 2016 meeting the criteria, were included and a dedicated questionnaire was completed by their dialysis center. Thus, 3172 patients were analyzed: 2302 (73%) had a medical contraindication to transplant, most often (33%) vascular, 458 (14%) refused to be registered, with proportionately more women in this category, and finally in 412 patients (13%), there was no reason given in our questionnaire. However, for 65% of patients in the latter category, an assessment for registration had started. There were therefore, in our cohort, only 144 patients (4.5%) without explanation for the non-registration. This national study is the first to give a view of the reasons for non-registration on the renal transplant list in France. Unsurprisingly, medical contraindication is the primary reason in this population of chronic patients. The high refusal rate should be emphasized and analyzed more precisely, in particular with the patient's point of view. And finally, very few patients have no informed reason or current assessment.     

Comparison of time on the deceased donor kidney waitlist versus time on the kidney paired donation registry in the Australian program

In the Australian kidney paired donation (KPD) program matching is based on acceptable mismatches, whereas deceased donor waitlist (DDWL) patients are allocated kidneys based on HLA antigen matching rules. Herein, we compared waiting time for a KPD match to the waiting time on the DDWL and the occurrence of matching in the DDWL for patients who were registered in both programs. Data on first dialysis, matches on the DDWL, KPD program entry, matches and transplant dates were assessed in 26 KPD recipients of the Australian program. There were 22 recipients who were listed in the DDWL and received kidney transplants by KPD. Time on dialysis until KPD transplantation was 808 ± 646 days. Eleven patients had never been matched with a deceased donor (waiting time 345 ± 237 days) and 11 had been matched on average 3 ± 5 times (waiting time 1227 ± 615 days, P < 0.0001 vs. never matched), but did not progress to transplantation because of positive crossmatch or class II donor‐specific antibody. Mean time from registration in the KPD program until kidney transplantation was 153 ± 92 days (P < 0.0001 vs. DDWL). KPD allocation using the acceptable mismatch approach is effective in identifying suitable live donors for some recipients within a relatively short time‐frame.     

Survival Benefit From Kidney Transplantation Using Kidneys From Deceased Donors Aged ≥75 Years: A Time‐Dependent Analysis

Patients with end‐stage renal disease have longer survival after kidney transplantation than they would by remaining on dialysis; however, outcome with kidneys from donors aged ≥75 years and the survival of recipients of these organs compared with their dialysis counterparts with the same probability of obtaining an organ is unknown. In a longitudinal mortality study, 2040 patients on dialysis were placed on a waiting list, and 389 of them received a first transplant from a deceased donor aged ≥75 years. The adjusted risk of death and survival were calculated by non–proportional hazards analysis with being transplanted as a time‐dependent effect. Projected years of life since placement on the waiting list was almost twofold higher for transplanted patients. Nonproportional adjusted risk of death after transplantation was 0.44 (95% confidence interval [CI] 0.61–0.32; p < 0.001) in comparison with those that remained on dialysis. Stratifying by age, adjusted hazard ratios for death were 0.17 (95% CI 0.47–0.06; p = 0.001) for those aged <65 years, 0.56 (95% CI 0.92–0.34; p = 0.022) for those aged 65–69 years and 0.82 (95% CI 1.28–0.52; p = 0.389) for those aged ≥70 years. Although kidney transplantation from elderly deceased donors is associated with reduced graft survival, transplanted patients have lower mortality than those remaining on dialysis.     

2017 Annual Report Digest of the Renal Epidemiology Information Network (REIN) registry

The French Renal Epidemiology and Information Network (REIN) registry started in 2002 with the goal to provide a tool to evaluate renal replacement therapy (RRT) practices and outcomes, to provide data for research and to support public health decisions related to end‐stage renal disease ESRD. This summary presents the incidence and prevalence of RRT including kidney transplantation and wait‐listing activity in 2017, and patients’ survival and trends over 5 years. In 2017, 11 543 patients started RRT for ESRD, that is, incidence of 172 pmp. Between 2012 and 2017, the incidence of RRT increased by 1% per year [CI 95% (0.0; +2.0)]. On 31 December 2017, 87 275 patients were receiving RRT, that is, prevalence of 1294 pmp, 55% on dialysis, 45% with a functioning transplant. In 2017, 3782 kidney transplantations have been performed including 16% from a living donor, 13% being retransplantations and 15% pre‐emptive transplantations. The median time on the waiting list was 19.7 months when only taking into account active waiting periods on the list. In 2017, 5280 new patients were registered on the renal transplant waiting list (i.e. 78.7 pmp). The number of patients considered as ‘inactive’ represented 45% of the patients on the list.     

Medical and non-medical determinants of access to renal transplant waiting list in a French community-based network of care.

BACKGROUND: Evaluation of adult candidates for kidney transplantation diverges from one centre to another. Concurrently, ethnic background, female gender, late referral to a nephrologist, distance from transplantation department and private ownership of a dialysis facility have been associated with poor access to kidney transplantation. We assessed determinants of access to a waiting list in a French community-based network of care. METHODS: From July 1997 to June 2003, 1725 adults living in Lorraine, who started renal replacement therapy in one of the 13 facilities of the network, were included. We compared, first, the patients registered on the waiting list with those not registered and, second, the patients registered before starting dialysis with those registered after. RESULTS: Using logistic regression, registration on the waiting list was exclusively associated with age and medical factors, except for one variable: medical follow-up in the department performing transplantation [odds ratio (OR): 1.67 (95%CI: 1.05-2.67)]. Registration before starting dialysis was not associated with medical factors but with age [OR of patients younger than 45 years vs those older than 65 years: 3.85 (95%CI: 1.05-24.92)] and medical follow-up in the department performing transplantation [OR: 3.56 (95%CI: 1.98-6.67)]. CONCLUSIONS: In a French community-based network, patients followed by the nephrology department performing transplantation are more likely to be registered on the transplant waiting list early in the course of chronic kidney disease. Age over 55 per se is a considerable barrier to access to kidney transplantation. Medical guidelines should allow a standardization of criteria for registration.     

Residual urinary volume is a risk factor for primary nonfunction in kidney transplantation

Primary nonfunction is a severe complication after kidney transplantation. Residual renal function could be a risk factor for this complication in the current era of kidney transplantation from extended criteria donors (ECD). This is a single‐center case–control study. Between 2000 and 2012, 1112 patients received a kidney transplant from a deceased donor. We identified 56 cases of early graft loss (kidney that never recover renal function and/or graft thrombosis <48 h after kidney transplantation). As controls we used patients receiving the contralateral kidney. Donor age was 55 ± 17 years with 57% fulfilling ECD criteria. Among the 56 cases, 14 were due to vascular rejection and 42 to primary nonfunction. Risk factors for early graft loss due to vascular rejection were previous transplant, time on dialysis, and HLA sensitization. Risk factors for primary nonfunction were first transplant, short period on dialysis, mainly peritoneal dialysis, and a residual urinary volume ≥500 ml/24 h. Conditional logistic regression analysis showed that residual urinary volume (OR = 20.01) rather than the dialysis modality was a major risk factor for primary nonfunction. In conclusion, residual urinary volume seems to be a risk factor for primary nonfunction in the current era of kidney transplantation.     

Effect of the iChoose Kidney decision aid in improving knowledge about treatment options among transplant candidates: A randomized controlled trial

We previously developed a mobile‐ and web‐based decision aid (iChoose Kidney) that displays individualized risk estimates of survival and mortality, for the treatment modalities of dialysis versus kidney transplantation. We examined the effect of iChoose Kidney on change in transplant knowledge and access to transplant in a randomized controlled trial among patients presenting for evaluation in three transplant centers. A total of 470 patients were randomized to standard transplantation education (control) or standard education plus iChoose Kidney (intervention). Change in transplant knowledge (primary outcome) among intervention versus control patients was assessed using nine items in pre‐ and postevaluation surveys. Access to transplant (secondary outcome) was defined as a composite of waitlisting, living donor inquiries, or transplantation. Among 443 patients (n = 226 intervention; n = 216 control), the mean knowledge scores were 5.1 ± 2.1 pre‐ and 5.8 ± 1.9 postevaluation. Change in knowledge was greater among intervention (1.1 ± 2.0) versus control (0.4 ± 1.8) patients (P < .0001). Access to transplantation was similar among intervention (n = 168; 74.3%) versus control patients (n = 153; 70.5%; P = .37). The iChoose Kidney decision aid improved patient knowledge at evaluation, but did not impact transplant access. Future studies should examine whether combining iChoose Kidney with other interventions can increase transplantation. (Clinicaltrials.gov NCT02235571)     

Transplant social worker and donor financial assistance to increase living donor kidney transplants among African Americans: The TALKS Study,a randomized comparative effectiveness trial

Lack of donors hinders living donor kidney transplantation (LDKT) for African Americans. We studied the effectiveness of a transplant social worker intervention (TALK SWI) alone or paired with living donor financial assistance to activate African Americans’ potential living kidney donors. African Americans (N = 300) on the transplant waiting list were randomly assigned to usual care; TALK SWI; or TALK SWI plus Living Donor Financial Assistance. We quantified differences in live kidney donor activation (composite rate of live donor inquiries, completed new live donor evaluations, or live kidney donation) after 12 months. Participants’ mean age was 52 years, 56% were male, and 43% had annual household income less than $40,000. Most previously pursued LDKT. Participants were highly satisfied with TALK social workers, but they rarely utilized Financial Assistance. After 12 months, few (n = 39, 13%) participants had a new donor activation event (35 [12%] new donor inquiries; 17 [6%] new donor evaluations; 4 [1%] LDKT). There were no group differences in donor activation events (subdistribution hazard ratio [95% CI]: 1.09 [0.51–2.30] for TALK SWI and 0.92 [0.42–2.02] for TALK SWI plus Financial Assistance compared to Usual Care, p = 91). Alternative interventions to increase LDKT for African Americans on the waiting list may be needed. Trial registration: ClinicalTrials.gov (NCT02369354).     

Covid-19 en transplantation rénale,leçons du registre français

The Covid-19 pandemic hits the French transplant population on March 3, 2020. Very quickly, a French registry was set up on behalf of the French Society of Transplantation allowing the collection of confirmed cases of Covid-19 occurring in kidney transplant recipients in almost all French centers. The analysis of this registry in conjunction with the data from the Agence de la Biomédecine (Cristal) has enabled us to obtain instructive results. We first showed that the incidence of severe forms among transplant patients hospitalized for Covid-19 was 46% and that their mortality was 22.8%. The risk factors for severe forms and mortality are described. Then we showed, by comparing transplant patients with immunocompetent patients matched for the main severity factors of the disease, that mortality among transplant patients was higher (17.9% vs 11.4%; P < 0.001). In multivariate analysis, a creatinine level at admission above 115 μmol/L was associated with death, whereas being transplanted was not. Finally, comparing the transplant cohort with patients on the kidney transplant waiting list during the period from February to June 2020, we found that patients on the waiting list had a higher Covid-19-related excess mortality than transplant patients, mainly in areas of low viral circulation. In conclusion, the French Registry of transplant patients with Covid-19, which was rapidly set up at the beginning of the epidemic, has already enabled us to draw several lessons about this initially unknown infection, particularly in kidney transplant patients, a population which appeared to be particularly at risk.     

Impact of Covid-19 on kidney transplant and waiting list patients: Lessons from the first wave of the pandemic

BackgroundThe first wave of the Covid-19 pandemic resulted in a drastic reduction in kidney transplantation and a profound change in transplant care in France. It is critical for kidney transplant centers to understand the behaviors, concerns and wishes of transplant recipients and waiting list candidates.MethodsFrench kidney patients were contacted to answer an online electronic survey at the end of the lockdown.ResultsAt the end of the first wave of the pandemic in France (11 May 2020), 2112 kidney transplant recipients and 487 candidates answered the survey. More candidates than recipients left their home during the lockdown, mainly for health care (80.1% vs. 69.4%; P < 0.001). More candidates than recipients reported being exposed to Covid-19 patients (2.7% vs. 1.2%; P = 0.006). Many recipients and even more candidates felt inadequately informed by their transplant center during the pandemic (19.6% vs. 54%; P < 0.001). Among candidates, 71.1% preferred to undergo transplant as soon as possible, 19.5% preferred to wait until Covid-19 had left their community, and 9.4% were not sure what to do.ConclusionsDuring the Covid-19 pandemic in France, the majority of candidates wished to receive a transplant as soon as possible without waiting until Covid-19 had left their community. Communication between kidney transplant centers and patients must be improved to better understand and serve patients’ needs.     

Survival of Patients on the Kidney Transplant Wait List: Relationship to Cardiac Troponin T

Patients waiting for a kidney transplant have high mortality despite careful preselection. Herein, we assessed whether cardiac troponin T (cTnT) can help stratify risk in patients selected for kidney transplantation. cTnT levels were measured in all kidney transplant candidates but the results were not used for patient selection. Among 644 patients placed on the kidney waiting list from 9/2004 to 12/2006, 61% had elevated cTnT levels (>0.01 ng/mL). Higher levels related to diabetes, longer time on dialysis, history of cardiovascular disease and low serum albumin. High cTnT also related to cardiac anomalies, including left ventricular hypertrophy (LVH), wall motion abnormalities and stress‐inducible ischemia by dobutamine echo (DSE). However, 54% of patients without these cardiac findings had elevated cTnT. Increasing cTnT levels were associated with reduced survival (HR = 1.729, CI (1.25–2.39), p = 0.01) independently of low serum albumin (0.449 (0.24–0.83), p = 0.011) and history of stroke (3.368 (1.47–7.73), p = 0.0004). The results of the DSE and/or coronary angiography did not relate significantly to survival. However, high cTnT identified patients with abnormal echo findings and poor survival. Wait listed patients with normal cTnT have excellent survival irrespective of other factors. In contrast, high cTnT levels are strongly predictive of poor survival in the kidney transplant waiting list.     

Survival Advantage of Pediatric Recipients of a First Kidney Transplant Among Children Awaiting Kidney Transplantation

The mortality rate in children with ESRD is substantially lower than the rate experienced by adults. However, the risk of death while awaiting kidney transplantation and the impact of transplantation on long‐term survival has not been well characterized in the pediatric population. We performed a longitudinal study of 5961 patients under age 19 who were placed on the kidney transplant waiting list in the United States. Of these, 5270 received their first kidney transplant between 1990 and 2003. Survival was assessed via a time‐varying nonproportional hazards model adjusted for potential confounders. Transplanted children had a lower mortality rate (13.1 deaths/1000 patient‐years) compared to patients on the waiting list (17.6 deaths/1000 patient‐years). Within the first 6 months of transplant, there was no significant excess in mortality compared to patients remaining on the waiting list (adjusted Relative Risk (aRR) = 1.01; p = 0.93). After 6 months, the risk of death was significantly lower: at 6–12 months (aRR = 0.37; p < 0.001) and at 30 months (aRR 0.26; p < 0.001). Compared to children who remain on the kidney transplant waiting list, those who receive a transplant have a long‐term survival advantage. With the potential for unmeasured bias in this observational data, the results of the analysis should be interpreted conservatively.