Development and Validation of a Multiclass Model Defining Molecular Archetypes of Kidney Transplant Rejection: A Large Cohort Study of the Banff Human Organ Transplant Gene Expression Panel.

Gene expression profiling from formalin-fixed paraffin-embedded (FFPE) renal allograft biopsies is a promising approach for feasibly providing a molecular diagnosis of rejection. However, large-scale studies evaluating the performance of models using NanoString platform data to define molecular archetypes of rejection are lacking. We tested a diverse retrospective cohort of over 1400 FFPE biopsy specimens, rescored according to Banff 2019 criteria and representing 10 of 11 United Network of Organ Sharing regions, using the Banff Human Organ Transplant panel from NanoString and developed a multiclass model from the gene expression data to assign relative probabilities of 4 molecular archetypes: No Rejection, Antibody-Mediated Rejection, T Cell-Mediated Rejection, and Mixed Rejection. Using Least Absolute Shrinkage and Selection Operator regularized regression with 10-fold cross-validation fitted to 1050 biopsies in the discovery cohort and technically validated on an additional 345 biopsies, our model achieved overall accuracy of 85% in the discovery cohort and 80% in the validation cohort, with ≥75% positive predictive value for each class, except for the Mixed Rejection class in the validation cohort (positive predictive value, 53%). This study represents the technical validation of the first model built from a large and diverse sample of diagnostic FFPE biopsy specimens to define and classify molecular archetypes of histologically defined diagnoses as derived from Banff Human Organ Transplant panel gene expression profiling data.

Utilizing Social Media to Identify Potential Living Donors: Learning from US Living Donor Programs.

Purpose of Review: Living donor transplantation provides the best possible recipient outcomes in solid organ transplantation. Yet, identifying potential living donors can be a laborious and resource intensive task that heavily relies on the recipient's means and social network. Social media has evolved to become a key tool in helping to bring recipients and potential living donors together given its ease of utilization, widespread access, and improved recipient's comfort with public solicitation. However, in the USA, formal guidelines to direct the use of social media in this context are lacking. Recent Findings: To better inform the landscape and opportunities utilizing social media in living donation, the OPTN Living Donor Committee surveyed US transplant programs to explore programs' experiences and challenges when helping patients use social media to identify potential living donors (September 2019). A large majority of survey participants (N = 125/174, 72%) indicated that their program provided education to use social media to identify potential living donors and most programs tracking referral source confirmed an increase utilization over time. The use of social media was compounded with program and recipient's challenges including concerns about privacy, inadequate technology access, and knowledge gaps. In this review, we discuss the results of this national survey and recent literature, and provide suggestions to inform program practices and guidance provided to patients wishing to use social media to identify potential living donors. Summary: Transplant programs should become competent in the use of social media for potential living donor identification to empower patients interested in using this tool. Social media education should be provided to all patients regardless of voiced interest and, when appropriate, revisited at multiple time points. Programs should consider developing a "team of experts" that can provide focused education and support to patients embarking in social media living donor campaigns. Care should be taken to avoid exacerbating disparities in access to living donor transplantation. Effective and timely guidance to patients in the use of social media could enhance the identification of potential living donors. Supplementary Information: The online version contains supplementary material available at 10.1007/s40472-022-00382-1.

Shifting Clinical Trial Endpoints in Kidney Transplantation: The Rise of Composite Endpoints and Machine Learning to Refine Prognostication.

The measurement of outcomes in kidney transplantation has been more accurately documented than almost any other surgical procedure result in recent decades. With significant improvements in short- and long-term outcomes related to optimized immunosuppression, outcomes have gradually shifted away from conventional clinical endpoints (ie, patient and graft survival) to surrogate and composite endpoints. This article reviews how outcomes measurements have evolved in the past 2 decades in the setting of increased data collection and summarizes recent advances in outcomes measurements pertaining to clinical, histopathological, and immune outcomes. Finally, we discuss the use of composite endpoints and Bayesian concepts, specifically focusing on the integrative box risk prediction score, in conjunction with machine learning to refine prognostication.

Redesigning Kidney Disease Care to Improve Value Delivery.

This article describes the articulation, development, and deployment of a machine learning (ML) model-driven value solution for chronic kidney disease (CKD) in a health system. The ML model activated an electronic medical record (EMR) trigger that alerted CKD patients to seek primary care. Simultaneously, primary care physicians (PCPs) received an alert that a CKD patient needed an appointment. Using structured checklists, PCPs addressed and controlled comorbid conditions, reconciled drug dosing and choice to CKD stage, and ordered prespecified laboratory and imaging tests pertinent to CKD. After completion of checklist prescribed tasks, PCPs referred patients to nephrology. CKD patients had multiple comorbidities and ML recognition of CKD provided a facile insight into comorbid burden. Operational results of this program have exceeded expectations and the program is being expanded to the entire health system. This paradigm of ML-driven, checklist-enabled care can be used agnostic of EMR platform to deliver value in CKD through structured engagement of complexity in health systems.

Application of the iBox prognostication system as a surrogate endpoint in the TRANSFORM randomised controlled trial: proof-of-concept study.

OBJECTIVES: Development of pharmaceutical agents in transplantation is currently limited by long waits for hard endpoints. We applied a validated integrative risk-prognostication system integrative Box (iBox) as a surrogate endpoint to the TRANSFORM Study, a large randomised controlled trial, to project individual patient long-term kidney allograft survival from 1 year to 11 years after randomisation. DESIGN: Post-hoc analysis of a randomised open-label controlled trial. SETTING: Multicentre study including 186 centres in 42 countries worldwide. PARTICIPANTS: 2037 de novo kidney transplant recipients. INTERVENTION: Participants were randomised (1:1) to receive everolimus with reduced-exposure calcineurin inhibitor (EVR+rCNI) or mycophenolic acid with standard-exposure CNI (MPA+sCNI). PRIMARY OUTCOME MEASURE: The iBox scores were computed for each participant at 1 year after randomisation using functional, immunological and histological parameters. Individual long-term death-censored allograft survival over 4, 6 and 11 years after randomisation was projected with the iBox risk-prognostication system. RESULTS: Overall, 940 patients receiving EVR+rCNI and 932 receiving MPA+sCNI completed the 1-year visit. iBox scores generated at 1 year yielded graft survival prediction rates of 90.9% vs 92.1%, 87.9% vs 89.5%, and 80.0% vs 82.4% in the EVR+rCNI versus MPA+sCNI arms at 4, 6, and 11 years post-randomisation, respectively (all differences below the 10% non-inferiority margin defined by study protocol). Inclusion of immunological and histological Banff diagnoses parameters in iBox scores resulted in comparable and non-inferior predicted graft survival for both treatments. CONCLUSIONS: This proof-of-concept study provides the first application of a validated prognostication system as a surrogate endpoint in the field of transplantation. The iBox system, by projecting kidney allograft survival up to 11 years post-randomisation, confirms the non-inferiority of EVR+rCNI versus MPA+sCNI regimen. Given the current process engaged for surrogate endpoints qualification, this study illustrates the potential to fast track development of pharmaceutical agents. TRIAL REGISTRATION NUMBER: TRANSFORM trial: NCT01950819.iBox prognostication system: NCT03474003.

Longitudinal variance of Donor-Derived Cell-Free DNA (dd-cfDNA) in Stable Kidney Transplant (KTx) patients are influenced by donor/recipient variables.

BACKGROUND: The longitudinal time-course of dd-cfDNA after kidney transplant (KTx) is not well-described. The cut off values of dd-cfDNA in KTx derive from biopsy-coupled single measurements. Meaningful interpretation necessitates understanding of: (1) time variance of dd-cfDNA levels post-KTx, (2) factors determining biologic variability, and (3) relationship to donor and recipient characteristics. We hypothesized that an understanding of the aforementioned factors would better inform clinical decision-making using dd-cfDNA. METHODS: One hundred and twenty five KTx patients with dd-cfDNA obtained longitudinally were included. Univariate analyses were directed at inter-patient variability and intra-patient inter-occasion variability of dd-cfDNA. Multivariate linear regression was used in analyses accounting for repeat measures. RESULTS: At 1-month post KTx median dd-cfDNA: (1) were higher in repeat KTx (.57%, P < .001), and dual KTx (1.10%, P = ns) versus a first KTx (.31%); (2) showed a significant difference in donor after cardiac death (DCD [.45%]) versus living related (LRD [.27%]) donors (P = .036). Longitudinal (1-3 months) dd-cfDNA measurements showed a significant downtrend for all donor types. Panel-reactive antibodies (PRA) were positively correlated with dd-cfDNA. CONCLUSIONS: Repeat Tx, dual Tx, DCD, and PRA are associated with a higher dd-cfDNA. Incorporation of donor/recipient variables and time down post transplant is material for rational interpretation of dd-cfDNA.

Non-Adherence to Appointments is a Strong Predictor of Medication Non-Adherence and Outcomes in Kidney Transplant Recipients.

BACKGROUND: Non-adherence is an important aspect of transplantation that affect outcomes. This study aims to investigate the impact of non-adherence to laboratory and clinic appointments on medication non-adherence and outcomes in kidney transplant (KT) recipients. METHODS: We analyzed KT recipients between 2005-14 with a detailed review of the medical records for non-adherence to laboratory and clinic appointments, as well as medication regimens. Baseline characteristics and clinical outcomes were compared between adherent and non-adherent groups. RESULTS: A total of 1413 KT recipients were included: 754 who were adherent and 659 who were non-adherent. Non-adherent recipients tend to be younger, African American, and have private insurance. Adherent patients tend to have a history of DM, heart disease, and receive an ECD kidney. Non-adherence to appointments was a strong predictor of medication non-adherence (OR 3.1), acute rejection (OR 1.4), and subsequent rejection episodes (OR 3.3 and 8.1 respectively for ≥ 1 and ≥ 2 rejection episodes). Subset analysis of patients who had early non-adherence within 1-year post-transplant showed predominance of younger, African American patients. The same patients had higher prevalence of medication non-compliance, overall and ≥ 1-year post-transplant, and mean number of readmissions. Kaplan-Meier analysis showed a trend towards lower graft survival in this group. CONCLUSIONS: Early non-adherence to laboratory and clinic appointments is a strong predictor of late medication non-adherence, acute rejection, and graft loss. Targeting patients that demonstrate early non-adherence to appointments with focused interventions may help improve kidney transplant outcomes in this high risk group.

Type 1 Diabetes incidence among youth in Utah: A geographical analysis.

Type 1 Diabetes (T1D) poses an increasing threat to public health, as incidence rates continue to rise globally. However, the etiology of T1D is still poorly understood, especially from the perspective of geography. The objective of this research is to examine the incidence of T1D among youth and to identify high-risk clusters and their association with socio-demographic and geographic variables. The study area was the entire state of Utah and included youth with T1D from birth to 19 years of age from 1998 to 2015 (n = 4161). Spatial clustering was measured both globally and locally using the Moran's I statistic and spatial scan statistic. Ordinary least squares (OLS) regression was used to measure the association of high-risk clusters with certain risk factors at the Census Block Group (CBG) level. The mean age at diagnosis was 9.3 years old. The mean incidence rate was 25.67 per 100,000 person-years (95% CI, 24.57-26.75). The incidence rate increased by 14%, from 23.94 per100,000 person-years in 1998 to 27.98 per 100,000 person-years in 2015, with an annual increase of 0.80%. The results of the spatial scan statistic found 42 high-risk clusters throughout the state. OLS regression analysis found a significant association with median household income, population density, and latitude. This study provides evidence that incidence rates of T1D are increasing annually in the state of Utah and that significant geographic high-risk clusters are associated with socio-demographic and geographic factors.

Consensus conference on heart-kidney transplantation.

Simultaneous heart-kidney transplant (sHK) has enabled the successful transplantation of patients with end-stage heart disease and concomitant kidney disease, with non-inferior outcomes to heart transplant (HT) alone. The decision for sHK is challenged by difficulties in differentiating those patients with a significant component of reversible kidney injury due to cardiorenal syndrome who may recover kidney function after HT, from those with intrinsic advanced kidney disease who would benefit most from sHK. A consensus conference on sHK took place on June 1, 2019 in Boston, Massachusetts. The conference represented a collaborative effort by experts in cardiothoracic and kidney transplantation from centers across the United States to explore the development of guidelines for the interdisciplinary criteria for kidney transplantation in the sHK candidate, to evaluate the current allocation of kidneys to follow the heart for sHK, and to recommend standardized care for the management of sHK recipients. The conference served as a forum to unify criteria between the different specialties and to forge a pathway for patients who may need dual organ transplantation. Due to the continuing shortage of available donor organs, ethical problems related to multi-organ transplantation were also debated. The findings and consensus statements are presented.

Outcomes of Surgical Mitral and Aortic Valve Replacements Among Kidney Transplant Candidates: Implications for Valve Selection.

Background Limited literature exists that evaluated outcomes of kidney transplant-eligible patients who are having dialysis and who are undergoing valve replacement. Our main objective in this study was to compare mortality, reoperation, and bleeding episodes between bioprosthetic and mechanical valve procedures among kidney transplant-eligible patients who are having dialysis. Methods and Results We studied 887 and 1925 dialysis patients from the United States Renal Data System, who underwent mitral valve replacement and aortic valve replacement (AVR) after being waitlisted for a kidney transplant (2000-2015), respectively. Time to death, time to reoperation, and time to bleeding requiring hospitalizations were compared separately for AVR and mitral valve replacement. Kaplan-Meier survival curves, Cox proportional hazards model for time to death, accelerated time to event model for time to reoperation, and counting process model for time to recurrent bleeding were used. There were no differences in mortality (hazard ratio [HR], 0.92; 95% CI, 0.77-1.09) or risk of reoperation or risk of significant bleeding events between bioprosthetic and mechanical mitral valve replacement. However, mechanical AVR was associated with a modestly significant less hazard of death (HR, 0.83; 95% CI, 0.74-0.94) compared with bioprosthetic AVR. There were no differences in time to reoperation, or time to significant bleeding events between bioprosthetic and mechanical AVR. Conclusions For kidney transplant waitlisted patients who are on dialysis and who are undergoing surgical valve replacement, bioprosthetic and mechanical valves have comparable survival, reoperation rates, and bleeding episodes requiring hospitalizations at both mitral and aortic locations. These findings emphasize that an individualized informed decision is recommended when choosing the type of valve for this special group of patients having dialysis.

Phenotype of immunosuppression reduction after kidney transplantation.

BACKGROUND: Immunosuppressive regimens are delivered without direct measure of the net state of immunosuppression. Besides therapeutic drug monitoring, adjustments in immunosuppressive medications are largely event-driven. METHODS: We studied the clinical phenotype of immunosuppression reduction (ISR) among kidney transplant recipients from 2005 to 2012. Patients were grouped into: no ISR, ISR for infection, or ISR for intolerance. Outcome measures were rejection, rejection-free survival, and IFTA-free survival. RESULTS: 1114 adult kidney transplant recipients were included: 57% had no ISR, 16% had ISR for infection, and 27% had ISR for intolerance. ISR for infection was mainly on MMF, while ISR for intolerance was mainly on FK. ISR was associated with higher rates of acute rejection. The Kaplan-Meier analysis showed increased prevalence of rejection among patients with ISR due to infection (P = .003) or intolerance (P = .05). The risk of interstitial fibrosis and tubular atrophy was increased in patients with ISR due to infection (P = .001) or intolerance (P = .018). CONCLUSION: Immunosuppression reduction is associated with increased prevalence of rejection. The clinical phenotype of ISR is dominated by IFTA remote from the onset of ISR. Solely focusing on acute rejection may underestimate effects of ISR on long-term graft function and survival.

Randomized controlled trial assessing the impact of everolimus and low-exposure tacrolimus on graft outcomes in kidney transplant recipients.

This was a single-center, randomized controlled trial assessing the impact of a 3-month (10-16 weeks) conversion to everolimus with low-exposure tacrolimus, as compared to remaining on full exposure tacrolimus with mycophenolate (NCT02096107). Adult kidney transplant recipients with a functioning graft were eligible for participation. Goal troughs in the intervention arm were 2-5 ng/mL for tacrolimus and 3-8 ng/mL for everolimus, with tacrolimus maintained at 5-12 ng/mL in the control arm; 60 were randomized (30 in each arm) and were well matched at baseline; mean age was 51 years and 57% were African-American. At 12-months, fibrosis scores (27.8% tacrolimus/mycophenolate vs 22.9% tacrolimus/everolimus, P = .391), acute rejection rates (7% tacrolimus/mycophenolate vs 3% tacrolimus/everolimus, P = .554), and graft function (mean eGFR tacrolimus/mycophenolate 56 ± 15 vs tacrolimus/everolimus 59 ± 14 mL/min/1.73 m2 , P = .465) were similar between arms. The everolimus arm had significantly lower rates of CMV infection, severe BK infection, and improved BK viral clearance kinetics, as compared to the MPA arm. In this population, including a significant number of African-Americans, an immunosuppression regimen of everolimus with low-exposure tacrolimus provided similar efficacy to tacrolimus and mycophenolate, with significantly lower rates of BK and CMV.

Evidence-based practice: Guidance for using everolimus in combination with low-exposure calcineurin inhibitors as initial immunosuppression in kidney transplant patients.

The mammalian target of rapamycin (mTOR) inhibitor, everolimus, in combination with reduced-exposure calcineurin inhibitor (CNI), has been demonstrated in clinical trials to have comparable efficacy in low-to-moderate immunological risk kidney transplant recipients to the Standard of Care, mycophenolic acid (MPA) in combination with standard-exposure CNI. Current treatment guidelines consider mTOR inhibitors to be a second-line therapy in the majority of cases; however, given that everolimus-based regimens are associated with a reduced rate of viral infections after transplantation, their wider use could have great benefits for kidney transplant patients. In this evidence-based practice guideline, we consider the de novo use of everolimus in kidney transplant recipients. The main outcomes of our consideration of the available evidence are that: 1. Everolimus, in combination with reduced-exposure CNI and low dose steroids, is a suitable regimen for the prophylaxis of kidney transplant rejection in the majority of low-to-moderate immunological risk adult patients, with individualized management; 2. Induction with either basiliximab or rabbit anti-thymocyte globulin is an effective therapy for kidney transplant recipients when initiating an everolimus-based, reduced-exposure CNI regimen; and 3. An individualized approach should be adopted when managing kidney transplant recipients on everolimus-based therapy.

Two-year outcomes in de novo renal transplant recipients receiving everolimus-facilitated calcineurin inhibitor reduction regimen from the TRANSFORM study.

TRANSFORM (TRANSplant eFficacy and safety Outcomes with an eveRolimus-based regiMen) was a 24-month, prospective, open-label trial in 2037 de novo renal transplant recipients randomized (1:1) within 24 hours of transplantation to receive everolimus (EVR) with reduced-exposure calcineurin inhibitor (EVR + rCNI) or mycophenolate with standard-exposure CNI. Consistent with previously reported 12-month findings, noninferiority of the EVR + rCNI regimen for the primary endpoint of treated biopsy-proven acute rejection (tBPAR) or estimated glomerular filtration rate (eGFR) <50 mL/min per 1.73 m2 was achieved at month 24 (47.9% vs 43.7%; difference = 4.2%; 95% confidence interval = -0.3, 8.7; P = .006). Mean eGFR was stable up to month 24 (52.6 vs 54.9 mL/min per 1.73 m2 ) in both arms. The incidence of de novo donor-specific antibodies (dnDSA) was lower in the EVR + rCNI arm (12.3% vs 17.6%) among on-treatment patients. Although discontinuation rates due to adverse events were higher with EVR + rCNI (27.2% vs 15.0%), rates of cytomegalovirus (2.8% vs 13.5%) and BK virus (5.8% vs 10.3%) infections were lower. Cytomegalovirus infection rates were significantly lower with EVR + rCNI even in the D+/R- high-risk group (P < .0001). In conclusion, the EVR + rCNI regimen offers comparable efficacy and graft function with low tBPAR and dnDSA rates and significantly lower incidence of viral infections relative to standard-of-care up to 24 months. Clinicaltrials.gov number: NCT01950819.

Impact of Pretransplant Donor BK Viruria in Kidney Transplant Recipients.

BACKGROUND: BK virus (BKV) is a significant cause of nephropathy in kidney transplantation. The goal of this study was to characterize the course and source of BKV in kidney transplant recipients. METHODS: We prospectively collected pretransplant plasma and urine samples from living and deceased kidney donors and performed BKV polymerase chain reaction (PCR) and immunoglobulin G (IgG) testing on pretransplant and serially collected posttransplant samples in kidney transplant recipients. RESULTS: Among deceased donors, 8.1% (17/208) had detectable BKV DNA in urine prior to organ procurement. BK viruria was observed in 15.4% (6/39) of living donors and 8.5% (4/47) of deceased donors of recipients at our institution (P = .50). BKV VP1 sequencing revealed identical virus between donor-recipient pairs to suggest donor transmission of virus. Recipients of BK viruric donors were more likely to develop BK viruria (66.6% vs 7.8%; P < .001) and viremia (66.6% vs 8.9%; P < .001) with a shorter time to onset (log-rank test, P < .001). Though donor BKV IgG titers were higher in recipients who developed BK viremia, pretransplant donor, recipient, and combined donor/recipient serology status was not associated with BK viremia (P = .31, P = .75, and P = .51, respectively). CONCLUSIONS: Donor BK viruria is associated with early BK viruria and viremia in kidney transplant recipients. BKV PCR testing of donor urine may be useful in identifying recipients at risk for BKV complications.

Development and future deployment of a 5 years allograft survival model for kidney transplantation.

AIM: Identifying kidney transplant patients at highest risk for graft loss prior to loss may allow for effective interventions to improve 5 years survival. METHODS: We performed a 10 years retrospective cohort study of adult kidney transplant recipients (n = 1747). We acquired data from electronic health records, United Network of Organ Sharing, social determinants of health, natural language processing data extraction, and real-time capture of dynamically evolving clinical data obtained within 1 year of transplant; from which we developed a 5 years graft survival model. RESULTS: Total of 1439 met eligibility; 265 (18.4%) of them experienced graft loss by 5 years. Graft loss patients were characterized by: older age, being African-American, diabetic, unemployed, smokers, having marginal donor kidneys and cardiovascular comorbidities. Predictive dynamic variables included: low mean blood pressure, higher pulse pressures, higher heart rate, anaemia, lower estimated glomerular filtration rate peak, increased tacrolimus variability, rejection and readmissions. This Big Data analysis generated a 5 years graft loss model with an 82% predictive capacity, versus 66% using baseline United Network of Organ Sharing data alone. CONCLUSION: Our analysis yielded a 5 years graft loss model demonstrating superior predictive capacity compared with United Network of Organ Sharing data alone, allowing post-transplant individualized risk-assessed care prior to transitioning back to community care.

The Familiality of Rapid Renal Decline in Diabetes.

Sustained and rapid loss of glomerular filtration rate (GFR) is the predominant clinical feature of diabetic kidney disease and a requisite for the development of end-stage renal disease. Although GFR trajectories have been studied in several cohorts with diabetes and without diabetes, whether rapid renal decline clusters in families with diabetes has not been examined. To determine this, we estimated GFR (eGFR) from serum creatinine measurements obtained from 15,612 patients with diabetes at the University of Utah Health Sciences Center and established their renal function trajectories. Patients with rapid renal decline (eGFR slope < -5 mL/min/1.73 m2/year) were then mapped to pedigrees using extensive genealogical records from the Utah Population Database to identify high-risk rapid renal decline pedigrees. We identified 2,127 (13.6%) rapid decliners with a median eGFR slope of -8.0 mL/min/1.73 m2/year and 51 high-risk pedigrees (ranging in size from 1,450 to 24,501 members) with excess clustering of rapid renal decline. Familial analysis showed that rapid renal decline aggregates in these families and is associated with its increased risk among first-degree relatives. Further study of these families is necessary to understand the magnitude of the influence of shared familial factors, including environmental and genetic factors, on rapid renal decline in diabetes.

Everolimus with Reduced Calcineurin Inhibitor Exposure in Renal Transplantation.

Background Everolimus permits reduced calcineurin inhibitor (CNI) exposure, but the efficacy and safety outcomes of this treatment after kidney transplant require confirmation.Methods In a multicenter noninferiority trial, we randomized 2037 de novo kidney transplant recipients to receive, in combination with induction therapy and corticosteroids, everolimus with reduced-exposure CNI (everolimus arm) or mycophenolic acid (MPA) with standard-exposure CNI (MPA arm). The primary end point was treated biopsy-proven acute rejection or eGFR<50 ml/min per 1.73 m2 at post-transplant month 12 using a 10% noninferiority margin.Results In the intent-to-treat population (everolimus n=1022, MPA n=1015), the primary end point incidence was 48.2% (493) with everolimus and 45.1% (457) with MPA (difference 3.2%; 95% confidence interval, -1.3% to 7.6%). Similar between-treatment differences in incidence were observed in the subgroups of patients who received tacrolimus or cyclosporine. Treated biopsy-proven acute rejection, graft loss, or death at post-transplant month 12 occurred in 14.9% and 12.5% of patients treated with everolimus and MPA, respectively (difference 2.3%; 95% confidence interval, -1.7% to 6.4%). De novo donor-specific antibody incidence at 12 months and antibody-mediated rejection rate did not differ between arms. Cytomegalovirus (3.6% versus 13.3%) and BK virus infections (4.3% versus 8.0%) were less frequent in the everolimus arm than in the MPA arm. Overall, 23.0% and 11.9% of patients treated with everolimus and MPA, respectively, discontinued the study drug because of adverse events.Conclusions In kidney transplant recipients at mild-to-moderate immunologic risk, everolimus was noninferior to MPA for a binary composite end point assessing immunosuppressive efficacy and preservation of graft function.