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Clinical outcomes and temporal trends of immunological and non-immunological rare diseases in adult kidney transplant

Abstract

Background

Rare diseases (RDs) encompass many difficult-to-treat conditions with different characteristics often associated with end-stage renal disease (ESRD). However, data about transplant outcomes in adult patients are still lacking and limited to case reports/case series without differentiation between immunological/non-immunological RDs.

Methods

Retrospective analysis among all adult kidney transplanted patients (KTs) with RDs (RDsKT group) performed in our high-volume transplantation center between 2005 and 2016. RDs were classified according to the Orphanet code system differentiating between immunological and non-immunological diseases, also comparing clinical outcomes and temporal trends to a control population without RDs (nRDsKT).

Results

Among 1381 KTs, 350 patients (25.3%) were affected by RDs (RDsKTs). During a f/up > 5 years [median 7.9 years (4.8–11.1)], kidney function and graft/patient survival did not differ from nRDsKTs. Considering all post-transplant complications, RDsKTs (including, by definition, patients with primary glomerulopathy except on IgA nephropathy) have more recurrent and de-novo glomerulonephritis (14.6% vs. 9.6% in nRDsKTs; p = 0.05), similar rates of de-novo cancers, post-transplant diabetes, dysmetabolism, hematologic disorders, urologic/vascular problems, and lower infectious episodes than nRDsKTs (63.7% vs 72.7%; p = 0.013). Additional stratification for immunological and non-immunological RDsKTs or transplantation periods (before/after 2010) showed no differences or temporal trends between groups.

Conclusions

Kidney transplant centers are deeply involved in RDs management. Despite their high-complex profile, both immunological and non-immunological RDsKTs experienced favorable patients’ and graft survival.

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Background

A medical condition in Europe is classified as a rare disease (RDs) if its prevalence is less than one case per 2000 (0,05%) with an estimated incidence of two cases/100,000 inhabitants/year. According to this assumption, 5000–7000 RDs affect approximately 27 to 36 million people (6–8%) of the European population [1]. Most of these conditions are genetically inherited and affect patients for his/her entire lifetime [2, 3], posing both clinical and welfare issues (availability, affordability, and costs for diagnosis and treatment combined with adverse outcomes) [1, 4, 5].

All these considerations pave the way for international initiatives to improve the healthcare needs of patients with RDs. In this context, the European Commission strongly suggests adopting the Orphanet classification system (ORPHA code) to classify RDs [6]. The Orpanet database encompasses more than 6700 RDs [7], including, beyond a classification system, much information about causative genes and possible therapeutic strategies (i.e., with orphan drugs).

In the nephrological setting, most glomerulonephritis could be classified as RDs; at the same time, many RDs could directly determine end-stage renal disease (ESRD) or be a crucial part of the clinical picture of ESRD patients. To date, the overall prevalence of renal replacement therapy (RRT) in Europe is estimated at 1000 per million population [8], but data about RDs in this population are scarce and outdated [9, 10]. In the most recent paper by Wuhl et al. [3], derived from the ERA-EDTA Registry analysis, 12.4% of all RRT patients in the Euro area would be affected by RDs. Interestingly, although RDs have been frequently identified during the pediatric lifetime, only 5.8% of RRT patients were younger than 20 years [3].

Not surprisingly, epidemiological or survival analyses about kidney transplantation (KT) in RDs are still lacking; most of the available studies described case reports/case series focusing on specific disease [11,12,13,14].

Our study aimed to (I) determine the prevalence of RDs in our population of adult KT recipients over time and (II) define whether and how the presence of RDs, also differentiating between immunological and non-immunological conditions, influences the KT outcomes comparing this subgroup to the overall population.

Methods

Study design and included population

We conducted a retrospective analysis including all consecutive adult KTs performed at the Renal Transplant Center “A. Vercellone,” AOU Città Della Salute e Della Scienza Hospital, Turin, in the period between 01/01/2005–31/12/2016. All pediatric KTs and patients without a determined cause of ESRD were excluded.

Based on the absence of a specific classification for RDs in RRT, we identified RDs in our population (RDsKT group) adopting the Orphanet database codification system (Table S1, Additional information). Therefore, all primary glomerulopathies were included except on IgA nephropathy (incidence rate 2.5/100000/year) [15]; patients without any histological assessment on native kidneys but with clinically documented hypertensive kidney disease and/or no features of immunological damage (i.e., no history of nephritic/nephrotic syndrome, hypocomplementemia, c- or p-ANCA, ANA, ENA, Ab anti-PLA2R or anti-GBM) were defined as “chronic glomerulopathy” and eventually included in the control group. CAKUT group merged patients with congenital renal dysplasia or hypoplasia with or without urinary tract malformation, chronic pyelonephritis due to congenital obstructive uropathy, or vesical-ureteric reflux without obstruction, and Prune-Belly syndrome. KTs with ESRD due to primary/secondary amyloidosis and the familial Mediterranean fever were all encompassed in the amyloidosis group.

To appropriately analyze this population’s clinical characteristics and functional outcomes, we compared RDsKT to a control group of KTs without RDs (nRDsKT group) matched through a propensity score model (ratio 1:1; the decade of age at KT, number of living-donor, and previous kidney transplants as dependent variables). Figure 1a illustrates the selection process’s flowchart.

Fig. 1
figure 1

Flow chart and graphical schematization of (a) selection criteria for the studied population (b) disease classification in both groups. RDsKT: rare diseases kidney transplant. nRDsKT: non-rare diseases kidney transplant. CAKUT: congenital anomalies of the kidneys and the urinary tract. FSGS: focal segmental glomerulosclerosis MGN: membranous glomerulonephritis. MPGN: membranoproliferative glomerulonephritis. RPGN: rapidly progressive glomerulonephritis. MCKD: medullary cystic kidney disease. ADPKD: autosomal dominant polycystic kidney disease

We retrospectively analyzed the demographic and clinical characteristics of each group. All patient data were registered in our database and collected until 01/05/2019.

Evaluation of renal functional outcomes included serum creatinine (sCr) and proteinuria (uPt) at discharge and 1, 2, and 5 years after KT. Information about immunosuppressive therapy (also including induction protocol) was also collected.

Data about allograft biopsies, primarily performed for cause (i.e., significant or unexplained increase of sCr > 25% from baseline, proteinuria, or both) were analyzed and reviewed according to the 2017 Banff classification [16]. Post-transplant glomerulonephritis cases were stratified as recurrent/de novo or undetermined cause based on available pre-transplant histological data.

For both groups, post-transplant complications (infectious episodes, de-novo cancers, post-transplant diabetes, dysmetabolism, hematologic disorders, urologic/vascular problems), and patient/graft survival (including the cause of patients’ death or allograft failure) were investigated.

The study was performed in adherence to the last version of the Helsinki Declaration and the Principles of the Declaration of Istanbul on Organ Trafficking and Transplant Tourism. All KT recipients signed informed consent, including their permission to have data from their medical records used in research. All the methods are approved by the institutional Ethical Committee (Comitato Etico Interaziendale A.O.U. Città Della Salute e Della Scienza di Torino - A.O. Ordine Mauriziano - A.S.L. Città di Torino) approval, resolution number 1449/2019 on 11/08/2019 (“TGT observational study”).

Statistical analysis

Statistical analysis was performed with SPSS (IBM SPSS Statistics, vers. 25.0.0). Continuous variables are presented, according to their distribution, as mean ± SD or as median (min-max). Inter-group differences were analyzed with t-test or Mann-Whitney test, respectively.

We expressed categorical variables as fractions, and Pearson’s χ2 or, for small samples, Fisher’s exact test was adopted to compare groups. The odds ratios (OR) with 95% CI were used as a measure of relative risk.

Survival analysis was performed with the Kaplan-Meier method, comparing groups with the Log Rank test. The significance level (α) was set at p < 0.05 for all tests.

Results

Prevalence of RDs and characteristics of the studied population

During the studied period, 350/1381 KTs (25.3%) were performed in patients with RDs. The leading causes of ESRD in RDsKTs were CAKUT syndrome, focal segmental glomerulosclerosis, and rapidly progressive glomerulonephritis (Fig. 1b).

Table 1 shows baseline characteristics in RDsKTs and nRDsKTs, including the immunosuppressive regimen at transplantation (data stratified for RDs are available in Table S2, Additional information). No significant demographic difference was observed between groups, except for the higher number of combined KTs in the nRDsKT group, primarily determined by diabetic nephropathy and adult polycystic kidney disease (ADPKD) patients necessitating pancreas/kidney and liver/kidney transplant, respectively.

Table 1 Demographic characteristics of the studied population at kidney transplant

The mean recipient age and M/F ratio were similar among groups (48.8 ± 13.4 years in RDsKTs vs. 50.7 ± 13.0 in nRDsKTs, and 59.4% males vs. 62.7%, respectively). Interestingly, RDsKTs experienced a long time between the first evaluation at our pre-transplant unit and the final admission on the active waiting list [6.0 months (3.5–10.1) vs. 4.3 (2.3–8.2); p = 0.038].

Kidney function and immunosuppressive regimens at discharge and 1, 2, and 5 years post-KT are summarized in Table 2. Median sCr at discharge was slightly better in RDsKTs (1.58 mg/dL vs. 1.72 mg/dL in RDsKT group; p = 0.026); during the f/up time [7.9 years (4.8–11.1) in RDsKTs vs. 8.5 (5.3–11.5) in nRDsKTs] no significant differences in kidney function tests were observed at any time-point. No difference in maintenance immunosuppressive medications was even documented, also considering Mycophenolate Mofetil/Azathioprine and Steroids.

Table 2 Kidney function and maintenance immunosuppressive therapy in studied population during the follow-up

Analysis of post-transplant complications and patient/graft survival

Clinical complications after KT are reported in Table 3. As expected, considering the adopted classification system, RDsKT group has a higher rate of recurrent and de-novo glomerulonephritis (14.6% vs. 9.6%; p = 0.05), mainly determined by patients with membranous nephropathy and focal-segmental glomerulosclerosis (57.9 and 11.1% of recurrency, respectively) in RDs group and IgA nephropathy in nRDS group (71.4%). Infectious episodes occurred more frequently in nRDsKTs (p = 0.013), mainly due to increased viral events in this group. Moreover, biopsy-proven rejection episodes (also stratifying for T-Cell/antibody-mediated subtypes), neoplasia (including skin, solid, and hematolymphoid tumors), post-transplant diabetes, and hematologic complications occurred without differences between RDsKTs and nRDsKTs.

Table 3 Post-transplant complications and kidney transplant outcomes in the studied population

Both patients and graft survival were strictly similar between groups (Fig. 2), also differentiating for RDs (Fig. 3) or between immunological and non-immunological conditions (Fig. 4). Similar trends were also observed comparing patients who received KTs before and after the median f/up time (Fig. 5). As expected, patients with recurrent/de-novo glomerulonephritis have a reduced graft survival, with a significant difference in RDs group (Fig. 6). No difference was already noted stratifying between recurrent and de novo conditions (Fig. 7).

Fig. 2
figure 2

Kaplan-Meier curves for (a) all studied population, (b) overall graft survival (c) death-censored graft survival. Patient and kidney survivals showed no differences between RDsKTs and nRDsKT [p = 0.156 in (a); p = 0.245 in (b); p = 0.488 in (c)]

Fig. 3
figure 3

Kaplan-Meier curves according to RDs for (a) patients (b) graft (death-censored). Patient and kidney survivals did not differ according to the type of rare disease and compared with the nRDsKT group

Fig. 4
figure 4

Kaplan-Meier curves according to immunological and non-immunological RDs for (a) patients (b) graft (death-censored). Patient and kidney survivals did not differ between immunological and non-immunological RDs and compared with the nRDsKT group

Fig. 5
figure 5

Kaplan-Meier curves according to immunological and non-immunological RDs for (a,c) patients (b,d) graft (death-censored) stratified for different time-points. Patient and kidney survivals did not differ between immunological, non-immunological RDs and nRDsKT group, also differentiating for KTs performed before (a, c) and after (b, d) the median f/up time

Fig. 6
figure 6

Kaplan-Meier curves according to recurrent/de novo glomerulonephritis for (a, c) patients (b,d) graft (death-censored). Negative graft survival was observed in patients with recurrent/de novo glomerulonephritis (GN) vs. nGN among the RDsKT group (p < 0.001)

Fig. 7
figure 7

Kaplan-Meier curves in recurrent and de novo glomerulonephritis for (a, c) patients (b,d) graft (death-censored). Patient and kidney survivals did not differ between recurrent and de novo glomerulonephritis in RDsKT and nRDsKT groups

At least 58 patients in the RDsKT group and 57 nRDsKTs experienced transplant failure; the leading causes were recurrent glomerulonephritis and chronic antibody-mediated rejection. Death with functioning graft occurred with similar percentages in both groups (6.6% vs. 8.7%; p = 0.300). Deaths were mainly dependent on septic events, cardiovascular or neoplastic complications without differences between RDsKTs and nRDsKTs.

Discussion

Identification, management, and treatment of RDs represent a challenging question for every health care system [5, 17, 18]. First of all, the heterogeneity of classification systems limited the generalizability of literature data. Furthermore, the difference in the availability of specific diagnostic testing (i.e., genetic analysis) reflects the high variability in RDs incidence, such as for Alport Syndrome [19].

All these considerations appear crucial in RRT patients considering that many ESRD causes could be categorizable as RDs. However, to the best of our knowledge, no study has to date specifically investigated the prevalence of RDs in adult KTs focusing on renal and patient outcomes and comparing them to the overall transplanted population.

Our analysis found that a significant number of KTs (25% of all consecutive transplanted patients between January 2005 and December 2016) have a documented RDs (classified according to ORPHA code) as ESRD cause or significant medical condition. The prevalence of RDs, similar to Wuhl et al. [3], dramatically differs from those reported in the general population [7, 20, 21] (Table 4).

Table 4 RDs prevalence in our kidney transplanted population compared to available data in the general population

During the significant f/up time, RDsKTs experienced a favorable clinical course without differences in graft/patient survival and kidney function tests compared to nRDsKTs, even stratifying for immunological and non-immunological conditions. Recurrent and de novo glomerulonephritis were effectively diagnosed in both groups, with a prevalent incidence of FSGS and MGN in RDs and IgA nephropathy in nRDs. All these conditions have a detrimental impact on graft survival [22, 23] which was more evident in RDs due to the higher occurrence and the more pronounced effect of some diseases (i.e., FGSG, MGN, and MPGN) on short-time graft outcomes [24,25,26].

Post-transplant complications apart from the expected higher rate of recurrent glomerulonephritis also occur similarly in both groups. We noted the absence of UTI increase in nRDs patients, which included subjects with CAKUT syndrome (normally exposed to increase UTI risk) [27]. Exploring this finding, we identified specific attention in this subgroup to antibiotic prophylaxis (which was generally prolonged to up to 1 week) and to a rapidly ureteral catheter/double J ureteral stent removal to prevent colonization.

However, although patients have similar rates of complications, the pre-transplant balance of RDs patients was longer, reflecting the need for a specific and time-consuming multidisciplinary approach (i.e., for correct pre-transplant diagnosis, analysis of all comorbid conditions, evaluation of possible recurrence rate on KT, limitation in living donor transplantation for hereditary forms).

Conclusions

Transplant units are at the crossroads of not-so-rare RDs, resulting in significant involvement in their challenging management. However, RDs patients who received KTs have favorable outcomes with comparable complications and graft failure rates to those observed in nRDsKTs patients. Our data also strengthen the importance of an accurate monitorization to prevent/identify recurrent glomerulonephritis in those conditions at high risk (i.e., FSGS, MGN, MPGN) and rapidly diagnose de novo cases.

Further analyses (for example, introducing a tailored Transplant Registry for RDs within the Italian and international transplant community and implementing electronic health records [28]) are highly needed to expand and confirm our positive results.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

RDs:

Rare diseases

ESRD:

End-stage renal disease

KTs:

Kidney transplanted patients

RDsKT:

Kidney transplanted patients with rare diseases

nRDsKT:

Kidney transplanted patients without rare diseases (control group)

RRT:

Renal replacement therapy

ADPKD:

Adult polycystic kidney disease (ADPKD)

References

  1. Commission of the European Community: COMMUNICATION FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT, THE COUNCIL, THE EUROPEAN ECONOMIC AND SOCIAL COMMITTEE AND THE COMMITTEE OF THE REGIONS on Rare Diseases: Europe’s challenges. Available at: https://ec.europa.eu/health/ph_threats/non_com/docs/rare_com_en.pdf, Aug 17 2020.

  2. Piano nazionale Malattie rare, Italian Health Department. Available at: http://www.salute.gov.it/portale/temi/p2_6.jsp?lingua=italiano&id=3296&area=Malattie%20rare&menu=vuoto , Jul 08 2020.

  3. Wühl E, Van Stralen KJ, Wanner C, Ariceta G, Heaf JG, Bjerre AK, et al. Renal replacement therapy for rare diseases affecting the kidney: An analysis of the ERA-EDTA Registry. Nephrol Dial Transplant. 2014;29:iv1–8.

    Article  Google Scholar 

  4. Forman J, Taruscio D, Llera VA, Barrera LA, Coté TR, Edfjäll C, et al. The need for worldwide policy and action plans for rare diseases. Acta Paediatr Int J Paediatr. 2012;101:805–7.

    Article  Google Scholar 

  5. Aymé S, Bockenhauer D, Day S, Devuyst O, Guay-Woodford LM, Ingelfinger JR, et al. Common elements in rare kidney diseases: conclusions from a kidney disease: improving global outcomes (KDIGO) controversies conference. Kidney Int. 2017;92:796–808.

    Article  Google Scholar 

  6. Rath A, Olry A, Dhombres F, Brandt MM, Urbero B, Ayme S. Representation of rare diseases in health information systems: the orphanet approach to serve a wide range of end users. Hum Mutat. 2012;33:803–8.

    Article  Google Scholar 

  7. The portal for rare diseases and orphan drugs. Available at: www.orpha.net, Aug 17 2020.

  8. Kramer A, Pippias M, Stel VS, Bonthuis M, Diez JMA, Afentakis N, et al. Renal replacement therapy in Europe: a summary of the 2013 ERA-EDTA registry annual report with a focus on diabetes mellitus. Clin Kidney J. 2016;9:457–69.

    Article  Google Scholar 

  9. Nissenson AR, Port FK. Outcome of end-stage renal disease in patients with rare causes of renal failure. I inherited and metabolic disorders. Q J Med. 1989;74:1055–62.

    Google Scholar 

  10. Nissenson AR, Port FK. Outcome of end-stage renal disease in patients with rare causes of renal failure. III Systemic/vascular disorders. Q J Med. 1990;74:63–74.

    CAS  PubMed  Google Scholar 

  11. Moray G, Tezcaner T, Özçay F, Baskın E, Akdur A, Kırnap M, et al. Liver and kidney transplant in primary hyperoxaluria: a single center experience. Exp Clin Transplant. 2015;13:145–7.

    PubMed  Google Scholar 

  12. Madiwale C, Murlidharan P, Hase N. Recurrence of primary hyperoxaluria: an avoidable catastrophe following kidney transplant. J Postgrad Med. 2008;54:206–8.

    Article  CAS  Google Scholar 

  13. Dallos G, Chmel R, Alföldy F, Török S, Telkes G, Diczházi C, et al. Bourneville-Pringle disease for kidney transplantation: a single-center experience. Transplant Proc. 2006;38:2823–4.

    Article  CAS  Google Scholar 

  14. Thibaud V, Rioux-Leclercq N, Vigneau C, Morice S. Recurrence of Goodpasture syndrome without circulating anti-glomerular basement membrane antibodies after kidney transplant, a case report 11 medical and health sciences 1103 clinical sciences. BMC Nephrol. 2019;20:4–8.

    Article  Google Scholar 

  15. McGrogan A, Franssen CFM, De Vries CS. The incidence of primary glomerulonephritis worldwide: a systematic review of the literature. Nephrol Dial Transplant. 2011;26:414–30.

    Article  Google Scholar 

  16. Haas M, Loupy A, Lefaucheur C, Roufosse C, Glotz D, Seron D, et al. The Banff 2017 kidney meeting report: revised diagnostic criteria for chronic active T cell–mediated rejection, antibody-mediated rejection, and prospects for integrative endpoints for next-generation clinical trials. Am J Transplant. 2018;18:293–307.

    Article  CAS  Google Scholar 

  17. Taruscio D, Vittozzi L, Choquet R, Heimdal K, Iskrov G, Kodra Y, et al. National registries of rare diseases in europe: an overview of the current situation and experiences. Public Health Genomics. 2015;18:20–5.

    Article  Google Scholar 

  18. Horgan D, Moss B, Boccia S, Genuardi M, Gajewski M, Capurso G, et al. Time for change? The why, what and how of promoting innovation to tackle rare diseases – is it time to update the EU’s orphan regulation? And if so, what should be changed? Biomed Hub. 2020;5:1–11.

    PubMed  PubMed Central  Google Scholar 

  19. Rogowski WH, Grosse SD, Khoury MJ. Challenges of translating genetic tests into clinical and public health practice. Nat Rev Genet. 2009;10:489–95. https://doi.org/10.1038/nrg2606.

    Article  CAS  PubMed  Google Scholar 

  20. Hogg R, Middleton J, Vehaskari VM. Focal segmental glomerulosclerosis - epidemiology aspects in children and adults. Pediatr Nephrol. 2007;22:183–6.

    Article  Google Scholar 

  21. Nicolaou N, Renkema KY, Bongers EMHF, Giles RH, Knoers NVAM. Genetic, environmental, and epigenetic factors involved in CAKUT. Nat Rev Nephrol. 2015;11:720–31.

    Article  CAS  Google Scholar 

  22. Infante B, Rossini M, Di Lorenzo A, Coviello N, Giuseppe C, Gesualdo L, et al. Recurrence of immunoglobulin a nephropathy after kidney transplantation: a narrative review of the incidence, risk factors, pathophysiology and management of immunosuppressive therapy. Clin Kidney J. 2020;13:758–67.

    Article  CAS  Google Scholar 

  23. Lim WH, Shingde M, Wong G. Recurrent and de novo glomerulonephritis after kidney transplantation. Front Immunol. 2019;10:1–20.

    Article  Google Scholar 

  24. De Souza L, Prunster J, Chan D, Chakera A, Lim WH. Recurrent glomerulonephritis after kidney transplantation. Curr Opin Organ Transplant. 2021; Publish Ahead of Print.

  25. Uffing A, Pérez-Sáez MJ, Mazzali M, Manfro RC, Bauer AC. Drumond F de S, et al. recurrence of FSGS after kidney transplantation in adults. Clin J Am Soc Nephrol. 2020;15:247–56.

    Article  Google Scholar 

  26. Wilson GJ, Cho Y, Teixiera-Pinto A, Isbel N, Campbell S, Hawley C, et al. Long-term outcomes of patients with end-stage kidney disease due to membranoproliferative glomerulonephritis: an ANZDATA registry study. BMC Nephrol. 2019;20:1–9.

    Article  Google Scholar 

  27. Monteverde ML, Paz M, Ibáñez JP, Chaparro AB, Solernou V, Sager C, et al. Kidney transplantation in children with CAKUT and non-CAKUT causes of chronic kidney disease: do they have the same outcomes? Pediatr Transplant. 2020;24:1–12.

    Article  Google Scholar 

  28. Garcelon N, Burgun A, Salomon R, Neuraz A. Electronic health records for the diagnosis of rare diseases. Kidney Int. 2020;97:676–86.

    Article  Google Scholar 

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Acknowledgments

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Funding

The authors declare that no funding was received for this study.

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Authors and Affiliations

Authors

Contributions

EG, SM, AM, RP, and LB contributed to the conception, design, analysis of the data and wrote the main manuscript text; FF performed the statistical analysis; MB, EB, MCT, RG, GL, AL, PG, OS, AB, AV, CD revised the work critically for important intellectual content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Luigi Biancone.

Ethics declarations

Ethics approval and consent to participate

The study was performed in adherence to the last version of the Helsinki Declaration and the Principles of the Declaration of Istanbul on Organ Trafficking and Transplant Tourism. All KT recipients signed informed consent, including their permission to have data from their medical records used in research. All the methods are approved by the institutional Ethical Committee (Comitato Etico Interaziendale A.O.U. Città Della Salute e Della Scienza di Torino - A.O. Ordine Mauriziano - A.S.L. Città di Torino) approval, resolution number 1449/2019 on 11/08/2019 (“TGT observational study”).

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The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Table S1.

Rare disease classification (according to Orpha-code) in the studied population. Table S2. Baseline characteristics and renal function tests among the most frequent RDs subgroups of the studied population.

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Gallo, E., Mingozzi, S., Mella, A. et al. Clinical outcomes and temporal trends of immunological and non-immunological rare diseases in adult kidney transplant. BMC Nephrol 22, 386 (2021). https://doi.org/10.1186/s12882-021-02571-z

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