Journal Logo

Liver Transplantation

Renal Protective Effect of Everolimus in Liver Transplantation: A Prospective Randomized Open-Label Trial

Kadry, Zakiyah MD1; Stine, Jonathan G. MD2; Dohi, Takehiko MD1; Jain, Ashokkumar MD1; Robyak, Kimberly L. BS3; Kwon, Osun MD4; Hamilton, Christopher J. BS3; Janicki, Piotr MD5; Riley, Thomas R. III MD2; Butt, Fauzia MD1; Krok, Karen MD2; Schreibman, Ian R. MD2; Bezinover, Dmitri MD5; Ghahramani, Nasrollah MD4; Campos, Stalin MD1; Hollenbeak, Christopher S. PhD6

Author Information
doi: 10.1097/TXD.0000000000001159



Acute kidney injury and chronic kidney disease (CKD) are known to be associated with poor long-term outcomes and survival after liver transplantation.1-3 Serum creatinine is heavily weighted in the Model for End-Stage Liver Disease (MELD) equation. As a consequence, more patients are reaching liver transplantation with baseline renal dysfunction. Additionally, standard long-term calcineurin inhibitor (CNI)-based immunosuppression has a known nephrotoxic effect.4 Significant renal impairment has been observed in liver transplant recipients at 5 years postoperatively, with up to 18.1% reaching end-stage renal disease.1,5 Deterioration or a decrease in the estimated glomerular filtration rate (eGFR) ≥30% within the first year of liver transplantation has been reported as a strong predictor for CKD and death after 1 year posttransplantation.3,6 The incidence of acute kidney injury after liver transplantation can range from 17% to 94% and has been associated with prolonged hospitalization, a higher risk of developing CKD stage 4–5 and increased mortality.2,4 Given the significant impact of renal dysfunction on patient survival after liver transplantation, new renal protective strategies in long-term immunosuppression are necessary. Mammalian target of rapamycin (mTOR) inhibitors such as everolimus (EVR) promise such an intervention. The following study reports the results of a prospective, randomized, open-label, single-center study that examines the long-term impact of the renal sparing effect of EVR compared with a CNI-based immunosuppressive protocol using both calculated and gold-standard renal function measures.


Study Design

This was a prospective, randomized, open-label single-center study, performed at an Academic University Hospital in the United States (Penn State Health Milton S Hershey Medical Center), assessing the long-term impact and superiority of the renal sparing effect in liver transplantation of EVR (EVR arm) with mycophenolic acid (MPA) compared with CNI immunosuppression with MPA (standard of care [SOC] arm). Steroids were weaned by 3 months after liver transplantation, and patients were randomized to study arms between 90 and 120 days post–liver transplantation.

An Investigational New Drug (IND) application was submitted to the Food and Drug Administration (FDA) on November 11, 2011 because EVR was only approved in the United States for utilization in conjunction with low-dose tacrolimus post–liver transplantation. The IND request was approved (IND # 113882) on April 19, 2012. Institutional review board (IRB) approval for the study protocol (IRB Protocol # 38115) was obtained on August 15, 2012, after the FDA IND assignment. This was an investigator-initiated study; funding by Novartis Pharmaceutical Corporation was finalized on March 1, 2013. The study was registered in ClinicalTrials.Gov (NCT01936519), and it complied with the requirements of the Declaration of Helsinki and the Declaration of Istanbul. Study data were collected and managed using a Research Electronic Data Capture tool (REDCap) at Penn State Health Milton S. Hershey Medical Center and Penn State College of Medicine. REDCap is a secure, web-based application designed to support data capture for research studies, providing an intuitive interface for validated data entry, audit trails for tracking data manipulation and export procedures, automated export procedures for seamless data downloads to common statistical packages, and procedures for importing data from external sources.7 Once a RedCap database was created, subject screening began in May 2013, and the first patient enrollment occurred on December 16, 2013. The last subject study visit was on July 31, 2019. Utilization of the Penn State Clinical and Translational Science Institute resources for this study was supported by the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant UL1TR002014.

Participants and Randomization

Twenty-four liver transplant recipients were included in the study with 12 patients in each arm (EVR versus SOC). A total of 105 liver transplant patients were screened, and those who agreed to participate underwent an initial spot urine protein-creatinine ratio to rule out the presence of proteinuria before signing a written study consent form and randomization. A ratio ≥0.7 g/g was considered exclusionary.

For inclusion in the study, candidates had to be 18 to 70 years of age, recipients of a full deceased donor liver transplant on standard CNI immunosuppression with corticosteroids and MPA during the first 3 months posttransplant, have a functioning liver allograft with liver function tests ≤3× the upper limit of normal value, an abbreviated Modification of Diet in Renal Disease estimated glomerular filtration rate (MDRD eGFR) ≥30 mL/min/1.73 m2, and patients had to be able to take oral medication at the time of randomization.

Exclusion criteria included recipients of multiple organ transplants and partial liver grafts, hepatocellular cancer beyond United Network for Organ Sharing criteria, administration of antibody induction at time of transplant, presence of hypersensitivity to immunosuppressants used, and a hypercoagulable state or need for anticoagulation. Enrollment exclusion criteria included severe hyperlipidemia (hypercholesterolemia >350 mg/dL or hypertriglyceridemia >500 mg/dL), thrombocytopenia <50 000/ mm3, absolute neutrophil count <1000/mm3 or white blood cell count of <2000/mm3, HIV-positive test, presence of a clinically significant systemic infection, renal failure with renal replacement therapy within the past 7 days, hepatic artery thrombosis (HAT), rejection requiring antibody therapy, multiple steroid-sensitive rejection episodes, and presence of proteinuria by spot urine protein-to-creatinine ratio ≥0.7 g/g.

Subjects were randomized 1:1 in each group using a simple randomization procedure by allocation concealment with the primary investigator blindly picking either an EVR or SOC assignment slip from a closed container with a second person present and witnessing the randomization procedure. For arm A, EVR was administered initially at 0.75 mg twice daily, and the CNI was discontinued once a serum EVR level of 6–8 ng/mL was achieved. The mean transition time from the start of EVR to discontinuation of CNI was 31.2 days. The dosing of MPA remained unchanged. Patients in arm B (SOC) continued on their standard CNI with MPA. No subjects were on corticosteroids, which are weaned off by 3 months post–liver transplantation.

Once a patient agreed to participate in the study and fulfilled criteria, a written consent was obtained. Randomization was performed after consent, and patients underwent a baseline study visit, which included the following:

  • 1. Serum creatinine level
  • 2. Calculated Cockcroft-Gault creatinine clearance (CrCl) and eGFR by isotope dilution mass spectrometry-traceable MDRD study equation
  • 3. 24-hour urine CrCl
  • 4. Iothalamate clearance study
  • 5. 24-hour urine protein

Subjects in each arm were then followed for a period of 24 months and underwent repeat study visits at 6, 12, and 24 months.


Iothalamate Clearance Test

The iothalamate clearance test was performed by administering a bolus followed by a continuous pump infusion of 30% iothalamate meglumine (Conray 30 from Mallinckrodt and later Guerbet Company). Iothalamate dosages were based on the patient’s calculated Cockcroft-Gault CrCl on the study day. Urine and blood samples were collected at baseline, and 1 hour after intravenous iothalamate bolus was administered. The urine output was then measured and recorded every 30 minutes while blood and urine samples were collected at the same 30 minute time points. Urine and blood samples were labeled on the basis of their respective time of collection and were assayed for iothalamate concentration using a high-pressure liquid chromatography system with an UV light detector. Effective iothalamate clearance was calculated as the average of 4 individual clearances.

Twenty-four-hour Urine Creatinine Clearance and Protein Level

Each subject was provided a container and brought the total urine collected to their study visit with a documented start and end time of each 24-hour urine collection. This was then sent to the hospital laboratory for 24-hour urine CrCl and protein level.

Calculated Renal Function Parameters

Serum creatinine level was measured on the day of the study visit, and Cockcroft-Gault CrCl and eGFR by isotope dilution mass spectrometry-traceable MDRD study equation were calculated.

Health-related Quality of Life Surveys

Measurements of health-related quality of life (HRQoL) were prospectively collected at each study visit using the Functional Assessment of Cancer Therapy-Hepatobiliary Cancer (FACT-Hep) instrument. FACT-Hep is liver specific and was designed to measure HRQoL in patients with hepatobiliary cancers, including liver, bile duct, and pancreas, but has been successfully applied in populations treated with hepatic resection.8 It is a 45-item, self-report questionnaire that measures quality of life across 4 specific domains: physical well-being, social well-being, emotional well-being, and functional well-being.9 In addition to these domains, the FACT-Hep includes a disease-specific hepatobiliary cancer subscale that assesses quality of life related to pain, gastrointestinal symptoms, weight loss, and jaundice. Two additional summary scores are available in the FACT-Hep: the target of intervention summary combines the results of the hepatobiliary subscale with the physical and functional well-being subscales, and a total FACT-Hep score combines the results of all subscales.


The primary endpoint of this study was to examine the renal sparing impact of implementing a strategy of conversion to EVR from a CNI-based immunosuppressive protocol between 90 and 120 days post–liver transplant. Secondary outcome measures were the evaluation and the incidence of adverse events, and the prospective assessment of subject HRQoL during the 24-month period of follow-up. Primary monitoring was performed by the study team: the principal investigator and study team met on a weekly basis to review real-time accrual of adverse events and any medication dose limiting toxicities or side effects. Oversight was also provided by a Data Safety Monitoring Board, and assessment reports were sent directly to the IRB. An annual FDA report was submitted outlining study results and progress. Per the protocol, serious adverse events that qualified for removal from the study included the following:

  • • Refractory leucopenia ≤500mm3 unresponsive to drug dose reduction/interruption or stimulation by neupogen (filgrastim).
  • • Persistent thrombocytopenia at <50 000/mm3, unresponsive to study medication dose reduction/interruption.
  • • Development of refractory severe hyperlipidemia (cholesterol >350 mg/dL or triglycerides >500 mg/dL) unresponsive to treatment and to study medication dose reduction/interruption.
  • • Refractory anemia (hemoglobin ≤6 g/dL) not related to surgical bleeding, and unresponsive to blood transfusion and to study medication dose reduction/interruption.
  • • Development of hemolytic uremic syndrome.
  • • Development of any thrombotic events such as liver graft hepatic arterial or portal/hepatic venous thrombosis, or thrombotic microangiopathy or thrombotic thrombocytopenic purpura, or radiologically documented pulmonary embolism.
  • • Refractory seizures or neurologic side effects unresponsive to treatment or reduction/interruption of study medication.
  • • Life-threatening infectious complications.

Statistical Analysis

The study was powered to measure significant improvements in renal function. To estimate the required sample size, we assumed that the eGFR would improve from 34 to 43 mL/min/1.73 m2 as reported in a recent study by Fairbanks et al10 This was a conservative estimate because the renal sparing effects of EVR are larger than those of sirolimus. Based on these assumptions, it was determined that a sample size of 12 in each group would have 80% power to detect a difference in means of −9.0 (the difference between a group 1 mean of 34.0 and a group 2 mean of 43.0) assuming that the common SD was 7.5 using a 2-group t test with a 0.05 2-sided significance level.

Because of the relatively small sample size, nonparametric statistical tests were used for all analyses, including the Mann-Whitney U test for continuous outcomes and Pearson’s chi-square test for binary outcomes. In addition, because there were no significant differences in patient characteristics between the 2 groups, univariate statistical tests were used for all comparisons. To provide information about effect size, we also included Cohen’s d for all comparisons. There was some attrition over time, including 2 patients at 12 months and 2 additional patients (a total of 4 patients) at 24 months in the EVR arm, and 1 patient at 12 months (no additional patients at 24 mo, a total of 1 patient) in the SOC arm. As a robustness check, we imputed missing values. Results from imputation were largely the same in terms of both effect and significance, so we report results without imputation of missing values. Imputation results are provided in Table S1 (SDC,

The primary endpoint of the trial was renal function as assessed by 24-hour urine CrCl. CrCl was compared between the 2 arms of the study using the Mann-Whitney U test at baseline and each follow-up period. Comparisons of secondary endpoints (Cockcroft-Gault CrCl, MDRD eGFR, iothalamate clearance, and 24-h urine protein) between the EVR and SOC groups were also made using the Mann-Whitney U test. Serum outcomes (white blood cell count, absolute neutrophil count, and testosterone) were compared using a Mann-Whitney U test.

Safety endpoints included rejection and infection episodes, and medication, gastrointestinal, cardiovascular, neurological, and metabolic side effects. These were compared at baseline and at each follow-up between arms using a Pearson chi-square test.

For assessment of subject HRQoL, FACT-Hep measurements were taken at baseline, while all patients were receiving CNIs, and again after randomization at the 6-, 12-, and 24-month follow-up study visits for subjects in both arms. Comparisons were made between patients in each treatment group (SOC and EVR) at each time period using the Student t test.

The statistical and data analyses were performed by C.S.H. and the primary investigator Z.K. All analyses were performed using Stata software (version 15, College Station, TX).

Oversight of the study was provided by a Data Safety Monitoring Board. The study was registered in ClinicalTrials.Gov (NCT01936519).


One hundred five (105) patients were screened. Patients were excluded for the following reasons: patient refusal (n = 21), need for anticoagulation (n = 18), noncompliance posttransplant (n = 5), renal failure (n = 5), segmental graft (n = 5), combined liver-kidney transplant (n = 5), retransplantation (n = 2), recurrent hepatitis C with liver dysfunction (n = 1), HAT (n = 1), hepatocellular cancer beyond Milan Criteria (n = 1), leukopenia (n = 2), iothalamate allergy (n = 2), rejection (n = 2), age >70 years (n = 1), language barrier (n = 2), neurologic disorder (n = 1), proteinuria (n = 3), and diagnosis of posttransplant lymphoproliferative disease (n = 1). Three patients were screen failures as they opted to withdraw from the study after consent but before randomization. The first patient enrolled in the study on the EVR arm on December 16, 2013, and the study was completed on July 31, 2019, with the last subject study visit.

Twenty-four patients were enrolled and 19 subjects completed the study with follow-up. Four subjects were withdrawn in the EVR arm for noncompliance (n = 1), development of significant proteinuria (n = 1), late HAT (n = 1), and an allergy to MPA (n = 1). In the SOC arm, 1 subject withdrew for foley catheter-related bladder spasms that did not allow iothalamate clearance testing (n = 1). Figure 1 shows the study trial profile summary, and the subject demographics are detailed in Table 1.

TABLE 1. - Subject demographics
Variable Everolimus (N = 12) Standard of care (N = 12) Cohen d P
Age at transplant 56.5 55.1 −0.171 0.488
Age at randomization (y) 56.7 55.1 −0.195 0.142
 18–49 25.0% 16.7%
 50–54 8.3% 33.3%
 55–59 16.7% 25.0%
 60+ 50.0% 25.0%
Sex 0.251 0.217
 Female 8.3% 16.7%
 Male 91.7% 83.3%
MELD score
 Mean 24.1 29.5 0.488 0.308
 Median 27.0 30.0
Dialysis 0.242 0.178
 Yes 16.7% 41.7%
 No 83.3% 58.3%
Diabetes mellitus −0.254 0.537
 Yes 16.7% 8.3%
 No 83.3% 91.7%
Hypertension 0.173 0.673
 Yes 33.3% 41.7%
 No 66.7% 58.3%
 Yes 8.3% 8.3% 0.000 1.000
 No 91.7% 91.7%
Primary diagnosis 0.146 0.312
 Alcohol 33.3% 25.0%
 Fulminant liver failure 0.0% 8.3%
 Hepatocellular carcinoma 50.0% 25.0%
 Hepatitis C 8.3% 33.3%
 NASH 0.0% 8.3%
 Alpha 1 antitrypsin deficiency 8.3% 0.0%
MELD, Model for End-Stage Liver Disease; NASH, nonalcoholic steatohepatitis.

Study trial profile summary. EVR, everolimus; HAT, hepatic artery thrombosis; MPA, mycophenolic acid; SOC, standard of care.

Renal function parameters measured at study visits showed a significantly superior renal function in the EVR cohort at 12 and 24 months (Table 2; Figure 2). At 12 months, serum creatinine (P = 0.024), MDRD eGFR (P = 0.020), and iothalamate clearance (P = 0.049) were significantly better in the EVR arm. At 12 months, the total number of patients in each study arm was 10 in the EVR cohort and 11 in the SOC cohort. At 24 months, the EVR arm showed significantly better renal function based on serum creatinine (P = 0.015), MDRD eGFR (P = 0.013), and 24-hour urine CrCl (P = 0.032). The iothalamate clearance also showed a persistent trend toward better renal function in the EVR arm (P = 0.099). The Cockcroft-Gault CrCl did not show statistical significance at any time point. The incidence of proteinuria was not significantly different between the 2 arms at 24 months. One subject in the EVR arm was removed from the study after 6 months due to the development of significant refractory proteinuria.

TABLE 2. - Summary of renal function results
Everolimus Control
Measure N Mean N Mean Cohen d P
Baseline Creatinine (mg/dL) 12 1.23 12 1.30 0.207 0.686
Cockroft clearance (mL/min) 12 85.15 12 78.11 −0.199 0.773
MDRD clearance 12 69.91 12 61.24 −0.310 0.419
24-h urine clearance (mL/min) 12 59.25 12 64.00 0.132 0.488
Iothalamate clearance (mL/min) 12 58.10 12 60.60 0.066 0.954
24-h urinary protein (g/24 h) 12 0.19 12 0.20 0.041 0.954
6 mo Creatinine (mg/dL) 12 1.02 12 1.29 0.816 0.088
Cockroft clearance (mL/min) 12 100.17 12 79.84 −0.556 0.387
MDRD clearance 12 81.27 12 62.18 −0.731 0.069
24-h urine clearance (mL/min) 12 70.75 11 68.09 −0.094 0.442
Iothalamate clearance (mL/min) 12 74.23 12 67.99 −0.184 0.299
24-h urinary protein (g/24 h) 12 0.88 12 0.26 −0.495 0.030
12 mo Creatinine (mg/dL) 10 0.95 11 1.29 1.069 0.024
Cockroft clearance (mL/min) 10 113.47 11 86.84 −0.562 0.360
MDRD clearance 10 88.01 11 60.63 −1.047 0.020
24-h urine clearance (mL/min) 10 86.80 11 68.09 −0.675 0.181
Iothalamate clearance (mL/min) 10 104.01 11 66.65 −1.034 0.049
24-h urinary protein (g/24 h) 10 0.35 11 0.58 0.292 0.067
24 mo Creatinine (mg/dL) 8 0.95 11 1.51 1.030 0.015
Cockroft clearance (mL/min) 8 108.16 11 80.85 −0.643 0.283
MDRD clearance 8 87.37 11 53.29 −1.445 0.013
24-h urine clearance (mL/min) 8 90.63 11 61.54 −1.062 0.032
Iothalamate clearance (mL/min) 8 79.41 11 57.19 −0.892 0.099
24-h urinary protein (g/24 h) 8 0.32 11 0.47 0.255 0.364
MDRD, Modification of Diet in Renal Disease.

Renal function at 24 mo. GFR, glomerular filtration rate; MDRD, modification of diet in renal disease.

No induction agents were administered to study subjects. Tacrolimus was progressively weaned in the SOC arm per our center’s clinical practice to maximally reduce its nephrotoxic impact over the 24-month follow-up period. Mean serum tacrolimus level was 10.25 ng/mL at baseline/randomization, then 9.98, 7.22, and 5.98 ng/mL at 6, 12, and 24 months, respectively, post–liver transplantation. EVR levels were maintained stable at around 6 ng/mL throughout the study period. Patients were maintained at baseline on the MPA dose they were on at the time of randomization. The median MPA dose in the EVR arm at the start of the study was 360 mg and in the SOC arm was 540 mg (P = 0.244). At the end of the study at 2 years, the median dose of MPA for both arms was 180 mg (P = 0.444). The decrease in MPA dose from baseline to 24 months in both the EVR and the SOC arms was not significant (P = 0.123 and P = 0.0718, respectively).

There was no significant difference in white cell count and absolute neutrophil count on study visit follow-up (Table 3). There was also no significant difference in the overall incidence of leukopenia (SOC n = 7; EV n = 9; P = 0.386) and number of filgrastim doses between the 2 cohorts (SOC mean 4.17; EV mean 2.42; P = 0.356) (Table 4). Serum testosterone levels were significantly lower in the EVR arm at 6 and 12 months (P = 0.041 and P = 0.036, respectively); the trend was maintained but was not significant by 24 months (P = 0.083).

TABLE 3. - White cell counts and serum testosterone levels
Everolimus Control
N Mean N Mean Cohen d P
Baseline White blood cell count (cells/mm3) 12 3.78 12 4.28 0.302 0.795
Absolute neutrophil count (cells/mm3) 11 2.32 12 3.05 0.495 0.460
Serum testosterone (ng/dL) 11 280.36 10 293.50 0.087 0.972
6 mo White blood cell count (cells/mm3) 12 3.71 12 3.76 0.025 0.795
Absolute neutrophil count (cells/mm3) 10 1.91 8 2.30 0.263 0.306
Serum testosterone (ng/dL) 11 169.73 10 283.30 1.223 0.041
12 mo White blood cell count (cells/mm3) 10 4.05 10 4.34 0.233 0.762
Absolute neutrophil count (cells/mm3) 9 2.35 9 2.35 −0.001 0.757
Serum testosterone (ng/dL) 8 209.75 8 319.25 1.111 0.036
24 mo White blood cell count (cells/mm3) 8 4.91 11 5.77 0.626 0.283
Absolute neutrophil count (cells/mm3) 6 2.57 10 3.10 0.671 0.278
Serum testosterone (ng/dL) 7 222.57 8 345.50 1.046 0.083

TABLE 4. - Summary of adverse events
Adverse event EVR (N = 12) SOC (N = 12) Cohen d P
Medication side effects
 Mean filgrastim doses 2.42 4.17 0.402 0.356
 Leucopenia 75.0% 58.3% −0.359 0.386
 Hyperlipidemia 75.0% 58.3% −0.359 0.386
Rejection and infection
 Cellular rejection 25.0% 8.3% −0.459 0.273
 DSA positive 16.7% 8.3% −0.254 0.537
 CMV 16.7% 50.0% 0.756 0.083
 HCV recurrence 8.3% 0.0% −0.426 0.307
 Minor Infection 41.7% 25.0% −0.359 0.386
 Dental infection 8.3% 0.0% −0.426 0.307
C diff 0.0% 8.3% 0.426 0.307
 HSV/HZV 16.7% 8.3% −0.254 0.537
 GI symptoms 33.3% 58.3% 0.518 0.219
 Constipation 8.3% 16.7% 0.254 0.537
 Supraventricular tachycardia 25.0% 8.3% −0.459 0.273
 Hypertension 25.0% 33.3% 0.184 0.653
 Pulmonary hypertension 8.3% 0.0% −0.426 0.307
 Headache 0.0% 8.3% 0.426 0.307
 Depression 8.3% 8.3% 0.000 1.000
 Tremor 0.0% 8.3% 0.426 0.307
 Insomnia 8.3% 0.0% −0.426 0.307
 Mental state changes 0.0% 8.3% 0.426 0.307
 Syncope 8.3% 0.0% −0.426 0.307
 Anemia 16.7% 8.3% −0.254 0.537
 Gout 8.3% 8.3% 0.000 1.000
 Hypomagnesemia 8.3% 41.7% 0.834 0.059
 Hypocalcemia 8.3% 8.3% 0.000 1.000
 Hypokalemia 8.3% 8.3% 0.000 1.000
 Hyperglycemia 0.0% 16.7% 0.632 0.140
 Hyperkalemia 16.7% 25.0% 0.206 0.615
 Fluid retention 16.7% 8.3% −0.254 0.537
 Skin cancer 0.0% 16.7% 0.632 0.140
 Hepatic artery thrombosis 8.3% 0.0% −0.426 0.307
 Hepatic steatosis 0.0% 8.3% 0.426 0.307
C diff, Clostridioides difficile; CMV, cytomegalovirus; DSA, donor-specific antibody; EVR, everolimus; GI, gastrointestinal; HCV, hepatitis C virus; HSV, herpes simplex virus; HZV, herpes zoster virus; SOC, standard of care.

Adverse events are summarized in Table 4. There was a higher incidence of cytomegalovirus infections in the SOC arm (SOC n = 6; EV n = 2), although this did not reach statistical significance (P = 0.083). One case of HAT occurred in the EVR arm. There was no significant difference between the 2 arms in cellular rejection episodes (SOC n = 1; EV n = 3; P = 0.273) or in donor-specific antibody (DSA)-positive antibody-mediated rejection (SOC n = 1; EV n = 2; P = 0.537). All rejection episodes in the EVR arm occurred within the first 4 months after randomization and conversion to EVR.

In terms of the HRQoL, there were no significant differences between the EVR and SOC patients at baseline, or at 6 or 12 months of follow-up. However, at 2 years of follow-up, patients in the EVR arm reported significantly better physical well-being (P = 0.006) and functional well-being (P = 0.03) (Figure 3). The hepatobiliary cancer scale, which focuses on pain, gastrointestinal symptoms, weight loss, and jaundice, showed no significant difference between EVR and SOC patients at any follow-up (Figure 4). However, the trial outcome index, which combines the hepatobiliary cancer scale with the physical and functional well-being scales, also seen in Figure 4, showed that EVR arm patients reported significantly better quality of life on this scale at 24 months of follow-up. This was mostly driven by the improvements observed in physical and functional well-being. By 24 months of follow-up, on the FACT-Hep total score (Figure 4), which combines all 4 well-being scales with the hepatobiliary cancer scale, the EVR group had significantly better overall self-reported quality of life (P = 0.0143). These data are also summarized in Table 5.

TABLE 5. - Summary of health-related quality of life subscales, stratified by treatment group and follow-up
Measure N Mean N Mean P
Baseline Physical well-being 12 23.3 12 20.8 0.1305
Social well-being 12 24.0 12 25.3 0.1539
Emotional well-being 12 21.0 12 19.7 0.2598
Functional well-being 12 19.7 12 17.9 0.4964
FACT-Hep trial outcome index 12 58.3 12 55.7 0.2364
Hepatobiliary cancer 12 88.0 12 83.7 0.3915
FACT-Hep total 12 146.2 12 139.4 0.3169
6 mo Physical well-being 12 23.1 12 21.8 0.4757
Social well-being 12 22.7 12 23.8 0.4042
Emotional well-being 12 20.7 12 21.1 0.6471
Functional well-being 12 19.3 12 17.3 0.4507
FACT-Hep trial outcome index 11 55.8 11 57.2 0.9866
Hepatobiliary cancer 12 85.7 12 84.0 0.6909
FACT-Hep total 11 139.9 11 141.9 0.8044
12 mo Physical well-being 10 24.4 12 22.4 0.1713
Social well-being 10 24.0 12 24.1 0.9329
Emotional well-being 10 21.2 11 21.0 0.8457
Functional well-being 10 20.9 11 18.1 0.2451
FACT-Hep trial outcome index 10 58.6 12 57.5 0.2304
Hepatobiliary cancer 10 90.5 11 85.3 0.6721
FACT-Hep total 10 149.0 11 142.7 0.296
24 mo Physical well-being 8 26.0 11 21.7 0.0066
Social well-being 8 25.0 11 22.4 0.3613
Emotional well-being 8 22.1 11 20.7 0.3271
Functional well-being 8 23.8 11 20.0 0.0335
FACT-Hep trial outcome index 8 61.4 11 58.7 0.0237
Hepatobiliary cancer 8 96.9 11 84.8 0.2832
FACT-Hep total 8 158.2 11 143.5 0.0143
EVR, everolimus; FACT-Hep, Functional Assessment of Cancer Therapy-Hepatobiliary cancer; SOC, standard of care.

Summaries of physical, social, emotional, and functional well-being domains, stratified by treatment arm. SOC, standard of care.
Summaries of disease specific and summary subscales, stratified by treatment arm. FACT-Hep, Functional Assessment of Cancer Therapy-Hepatobiliary cancer; SOC, standard of care.


CKD and renal failure are known to be associated with worse long-term outcomes after liver transplantation.1-3 Reasons for renal dysfunction are multifactorial. In the pretransplant phase, the MELD-based liver allocation system is heavily weighted in terms of renal function, and with the ongoing liver organ shortage, more patients are arriving at liver transplantation with underlying kidney dysfunction. Posttransplant risk factors for chronic renal failure include hypertension, diabetes mellitus, and hepatitis C infection.1 While CNIs have become the mainstay of post–liver transplant immunosuppression given their positive impact on posttransplant survival,1,11 they are associated with nephrotoxicity leading to progressive renal function deterioration.1,4,12 The negative impact of renal dysfunction on liver transplant outcomes has led to examination of strategies that protect and possibly improve long-term renal function. To our knowledge, this is the only study that estimates the potential renal sparing effect of EVR with MPA by performing direct measurements of renal function through scheduled study visits during a 24-month follow-up, compared with a standard CNI immunosuppression arm. To date, published single-center and multicenter trials examining the effect of EVR on renal function have relied solely on calculated estimates, which tend to underestimate the degree of renal dysfunction.13

Additionally, there are little data published on the immunosuppressive combination of EVR with MPA, with the majority of studies comparing EVR alone or EVR with low-dose tacrolimus to standard CNI-based immunosuppression. In the United States, EVR has only been approved for use in combination with low-dose tacrolimus, thus requiring an IND submission and authorization (IND # 113882) from the FDA before we could proceed with our study.

Published single-center and multicenter trials examining the renal protective effect of EVR have also been limited by their retrospective or observational study design, variations in immunosuppressive protocols, and limited long-term follow-up.6,12,14-21 The early H2304 trial in 2012 discontinued the tacrolimus elimination arm due to an observed higher incidence of rejection with EVR, and some studies have only examined EVR combined with low-dose tacrolimus.14,15,21,22

To our knowledge, there are only 2 large studies that have looked the immunosuppressive combination of EVR with MPA: the SIMCER and CERTITUDE trials.12,19 The French multicenter SIMCER trial, published in 2017, examined the combination of EVR with MPA, but patients were also given basiliximab induction for additional renal protective effect, subjects were highly selected with low MELD scores, and unlike our study, follow-up was limited to 6 months.12 The CERTITUDE trial was an extension of the SIMCER study with 2-year follow-up of subjects, but it was observational in design, and physicians were allowed to modify immunosuppressive treatment at any time during the follow-up. This resulted in up to 47.7% of EVR arm subjects receiving tacrolimus at some time point during the 6- to 24-month follow-up, and in the CERTITUDE study, the observed eGFR was only significantly higher at 3–12 months in the EVR group, with a nonsignificant trend to higher GFR thereafter. This was attributed to the extensive changes in maintenance immunosuppression with the utilization of tacrolimus in some of the subjects in the EVR arm. Proteinuria was also only checked in one-third of the subjects in the CERTITUDE observational study, using a urine protein-to-creatinine ratio.

In our study, no induction agents were administered, and subject demographics reflected a patient population more typically seen in transplant practice, with a mean MELD score of 24 in the EVR arm and 29 in the SOC arm. Patients were maintained on the same immunosuppressive protocol with prospective long-term 2-year follow-up, and direct urinary protein measurement using 24-hour urine collection was performed at 4 separate study visits. Finally, unlike the CERTITUDE study, our results showed a significant improvement in renal function at 24 months in the EVR arm by 24-hour urine CrCl (P = 0.032), as well by calculated MDRD eGFR (P = 0.013) and serum creatinine (P = 0.015).

The mean serum creatinine level at baseline was not significantly different between the 2 groups (EVR 1.23; SOC 1.3; P = 0.686), and although the SOC arm had a higher prevalence of dialysis at the time of transplant (41.7% versus 16.7% EVR arm), this was not statistically significant (P = 0.178). The incidence of pretransplant hypertension, diabetes mellitus, and dyslipidemia was also not significantly different in the 2 arms (Table 1). Unlike other studies, renal function was assessed by both gold-standard tests (24-h urine CrCl and iothalamate clearance) and also calculated by Cockcroft-Gault CrCl and MDRD eGFR.

As mentioned, our findings showed a significant improvement in renal function at 24 months in the EVR arm by 24-hour urine CrCl (P = 0.032), MDRD eGFR (P = 0.013), and serum creatinine (P = 0.015). The difference in Cockcroft-Gault eGFR was not statistically significant at any follow-up; however, the MDRD equation has been reported to be a more precise calculated estimate of renal function in liver transplant recipients.13 The iothalamate clearance in the EVR arm showed a strong trend toward renal function improvement but did not reach significance by 24 months (P = 0.099), which may have been due to lower subject numbers by month 24 (n = 8). The mean tacrolimus level was 5.98 ng/mL at 24 months in the SOC arm, and it was particularly important to wean CNIs, per the standard practice of transplant programs, to minimize their nephrotoxic effect, and to provide an appropriate comparison for the renal protective effect of the EVR arm on follow-up. These results provide a clear confirmation of the long-term renal protective effect of EVR.

The combination of EVR and MPA was tolerated in our study and adverse events were not significantly different between the 2 cohorts, including leukopenia (SOC n = 7; EV n = 9; P = 0.386; Table 4), despite the known combined bone marrow suppressive effect of EVR and MPA. Acute cellular rejection episodes (EV n = 3; SOC n = 1; P = 0.273) and DSA-positive antibody-mediated rejection (SOC n = 1; EV n = 2; P = 0.537) were also not significantly different between the 2 cohorts but were higher in the EVR arm. All were treated with steroid bolus and an increase in the maintenance immunosuppression; 1 case in the EVR arm also developed a concomitant DSA that was complement fixing (C1q assay positive) requiring administration of IVIG; all patients responded well to treatment and completed the study with excellent allograft function. Of the 3 cases of antibody-mediated rejection, only 1 required IVIG therapy as described for the 1 case in the EVR arm, while the remaining patients in both the SOC and EVR arm had their baseline immunosuppression increased and maintained normal liver function tests and excellent allograft function throughout the study. No subject withdrawal was undertaken for rejection. All rejection episodes in the EVR arm occurred within the first 4 months after randomization and conversion to EVR. This was consistent with the findings of the SIMCER study, which also showed that biopsy-proven acute rejection was more frequent in the EVR arm between randomization and month 6 (10.0% versus 2.2%; P = 0.026).

EVR has been reported to be protective of cytomegalovirus infections although the exact mechanism is not clear.23,24 In our study, there was a higher incidence of cytomegalovirus infections in the SOC arm (SOC n = 6; EV n = 2), although this did not reach statistical significance (P = 0.083). Low serum testosterone levels have been reported in association with EVR.25 In our study, serum testosterone levels were significantly lower in the EVR arm at 6 and 12 months (P = 0.041 and P = 0.036, respectively; Table 3), and at 24 months, the trend was maintained but was not significant (P = 0.083; Table 3).

A greater number of patients dropped out of the EVR arm (EVR arm n = 4) compared with the SOC arm (SOC arm n = 1) at 24 months. Similar findings were described in other reports looking at EVR immunosuppression, reflecting that not all patients can be maintained long term on EVR. However, in this study, at least 50% of the causes of patient removal in the EVR arm were not directly related to EVR (patient noncompliance n = 1 and allergy to MPA n = 1). There were still 2 patients who dropped out of the EVR arm due to the development of adverse events, and this was higher compared with 1 patient drop out at 12 months on the SOC arm.

One patient in the EVR developed refractory proteinuria as the reason for study removal (n = 1). Proteinuria is an important limiting factor: 3 patients were excluded from enrollment in this study due to the presence of proteinuria at screening, and as mentioned, 1 subject in the EVR arm was removed from the study after 6 months due to the development of significant refractory proteinuria; however, the overall incidence of proteinuria was not significantly different between the 2 arms at 24 months (P = 0.364; Table 2).

HAT did occur in 1 patient on the EVR arm. Although thrombotic complications have led to a black box warning with sirolimus, an earlier mTOR inhibitor, the data behind the perceived increased incidence of HAT with sirolimus remain controversial, with conflicting data, as multiple studies have shown either no statistical difference in the incidence of HAT or an actual reduced incidence of this complication.26 Unlike sirolimus, EVR has not been associated with HAT in liver transplantation in multiple large studies.18,27 However, the occurrence of HAT in our study in 1 patient in the EVR arm at 6 months should be interpreted with caution as the cause was unclear.

The reduced number of subjects by month 24 in the EVR arm does represent a weakness in the study, and to address this, the missing values were further analyzed by imputation (see Table S1, SDC, Results from imputation showed the same outcome in terms of effect and significance of the renal protective effect of EVR, leading us to report data from the full sample (Table 2).

Although a greater number of patients dropped out of the EVR arm, those who remained on the combination of EVR with MPA showed significantly better physical and functional well-being (Figure 3; P = 0.006 and P = 0.03, respectively), which also translated into significantly better overall self-reported quality of life (Figure 4; P = 0.0143) at 24 months. The impact of the side-effect profile of immunosuppressant drugs on quality of life has been examined in the past.28-30 Benzing et al30 compared mTOR-based immunosuppression with standard CNI regimens and concluded that only early (<2 mo) conversion to an mTOR inhibitor combined with another agent, such as mycophenolate mofetil or steroids, produced a statistically significant improvement in patient quality of life.30 Their study, however, was hampered by its retrospective cross-sectional design and the fact that it was based on responses to a single survey that was sent to patients who were at variable time points post–liver transplantation. Our patient population was randomized at 90 days after liver transplantation, and subjects were prospectively followed at the same specific follow-up time points for completion of HRQoL surveys over a 2-year period. Interestingly, our results showed no significant difference between the EVR and SOC study cohorts at 6 and 12 months after randomization, but at 24 months, patients in the EVR group reported significantly better physical and functional well-being and better overall quality of life. This suggests that the combination of EVR with MPA is well tolerated in the long term if patients can be maintained on the combination of EVR and MPA. The renal protective effect observed in the EVR group may also have contributed to the significantly better physical and functional well-being of the EVR cohort, but larger prospective long-term studies are needed to confirm this finding.

In conclusion, there was a significant long-term improvement in renal function in patients receiving EVR with MPA compared with those receiving CNI with MPA; however, patients should be carefully selected. The combination of EVR with MPA appears to be tolerated, with comparable safety and immunosuppressive effect to CNI-based immunosuppression; however, the complication of HAT in 1 subject should be viewed with caution. These results suggest that EVR with MPA, if tolerated, represents a potentially good alternative immunosuppressive regimen to standard CNI-based therapy in liver transplant recipients with underlying renal dysfunction.


1. Ojo AO, Held PJ, Port FK, et al. Chronic renal failure after transplantation of a nonrenal organ. N Engl J Med. 2003; 349:931–940.
2. Trinh E, Alam A, Tchervenkov J, et al. Impact of acute kidney injury following liver transplantation on long-term outcomes. Clin Transplant. 2017; 31:1–5.
3. Cantarovich M, Tchervenkov J, Paraskevas S, et al. Early changes in kidney function predict long-term chronic kidney disease and mortality in patients after liver transplantation. Transplantation. 2011; 92:1358–1363.
4. Gonwa TA, Mai ML, Melton LB, et al. End-stage renal disease (ESRD) after orthotopic liver transplantation (OLTX) using calcineurin-based immunotherapy: risk of development and treatment. Transplantation. 2001; 72:1934–1939.
5. Burra P, Senzolo M, Masier A, et al. Factors influencing renal function after liver transplantation. Results from the MOST, an international observational study. Dig Liver Dis. 2009; 41:350–356.
6. Sterneck M, Kaiser GM, Heyne N, et al. Long-term follow-up of five yr shows superior renal function with everolimus plus early calcineurin inhibitor withdrawal in the PROTECT randomized liver transplantation study. Clin Transplant. 2016; 30:741–748.
7. Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009; 42:377–381.
8. Heffernan N, Cella D, Webster K, et al. Measuring health-related quality of life in patients with hepatobiliary cancers: the functional assessment of cancer therapy-hepatobiliary questionnaire. J Clin Oncol. 2002; 20:2229–2239.
9. Cella D, Butt Z, Kindler HL, et al. Validity of the FACT Hepatobiliary (FACT-Hep) questionnaire for assessing disease-related symptoms and health-related quality of life in patients with metastatic pancreatic cancer. Qual Life Res. 2013; 22:1105–1112.
10. Fairbanks KD, Eustace JA, Fine D, et al. Renal function improves in liver transplant recipients when switched from a calcineurin inhibitor to sirolimus. Liver Transpl. 2003; 9:1079–1085.
11. Iwatsuki S, Starzl TE, Todo S, et al. Experience in 1,000 liver transplants under cyclosporine-steroid therapy: a survival report. Transplant Proc. 1988; 20(suppl 1):498–504.
12. Saliba F, Duvoux C, Gugenheim J, et al. Efficacy and safety of everolimus and mycophenolic acid with early tacrolimus withdrawal after liver transplantation: a multicenter randomized trial. Am J Transplant. 2017; 17:1843–1852.
13. Gonwa TA, Jennings L, Mai ML, et al. Estimation of glomerular filtration rates before and after orthotopic liver transplantation: evaluation of current equations. Liver Transpl. 2004; 10:301–309.
14. De Simone P, Beckebaum S, Koneru B, et al. Everolimus with reduced tacrolimus in liver transplantation. Am J Transplant. 2013; 13:1373–1374.
15. Mocchegiani F, Montalti R, Nicolini D, et al. Tacrolimus and everolimus de novo versus minimization of standard dosage of tacrolimus provides a similar renal function at one year after liver transplantation: a case-control matched-pairs analysis. Ann Transplant. 2014; 19:545–550.
16. Gastaca M, Bilbao I, Jimenez M, et al. Safety and efficacy of early everolimus when calcineurin inhibitors are not recommended in orthotopic liver transplantation. Transplant Proc. 2016; 48:2506–2509.
17. Jiménez-Pérez M, González Grande R, Rando Muñoz FJ, et al. Everolimus plus mycophenolate mofetil as initial immunosuppression in liver transplantation. Transplant Proc. 2015; 47:90–92.
18. Fischer L, Klempnauer J, Beckebaum S, et al. A randomized, controlled study to assess the conversion from calcineurin-inhibitors to everolimus after liver transplantation—PROTECT. Am J Transplant. 2012; 12:1855–1865.
19. Saliba F, Duvoux C, Dharancy S, et al. Early switch from tacrolimus to everolimus after liver transplantation: outcomes at 2 years. Liver Transpl. 2019; 25:1822–1832.
20. Dumortier J, Dharancy S, Calmus Y, et al. Use of everolimus in liver transplantation: the French experience. Transplant Rev (Orlando). 2016; 30:161–170.
21. Chapman WC, Brown RS Jr, Chavin KD, et al. Effect of early everolimus-facilitated reduction of tacrolimus on efficacy and renal function in de novo liver transplant recipients: 24-month results for the North American subpopulation. Transplantation. 2017; 101:341–349.
22. Berger SP, Sommerer C, Witzke O, et al.; TRANSFORM Investigators. Two-year outcomes in de novo renal transplant recipients receiving everolimus-facilitated calcineurin inhibitor reduction regimen from the TRANSFORM study. Am J Transplant. 2019; 19:3018–3034.
23. Tan L, Sato N, Shiraki A, et al. Everolimus delayed and suppressed cytomegalovirus DNA synthesis, spread of the infection, and alleviated cytomegalovirus infection. Antiviral Res. 2019; 162:30–38.
24. Ferreira AN, Felipe CR, Cristelli M, et al. Prospective randomized study comparing everolimus and mycophenolate sodium in de novo kidney transplant recipients from expanded criteria deceased donor. Transpl Int. 2019; 32:1127–1143.
25. Huyghe E, Zairi A, Nohra J, et al. Gonadal impact of target of rapamycin inhibitors (sirolimus and everolimus) in male patients: an overview. Transpl Int. 2007; 20:305–311.
26. McKenna GJ, Trotter JF. Sirolimus—it doesn’t deserve its bad Rap(a). J Hepatol. 2012; 56:285–287.
27. Trotter JF, Lizardo-Sanchez L. Everolimus in liver transplantation. Curr Opin Organ Transplant. 2014; 19:578–582.
28. Kousoulas L, Neipp M, Barg-Hock H, et al. Health-related quality of life in adult transplant recipients more than 15 years after orthotopic liver transplantation. Transpl Int. 2008; 21:1052–1058.
29. Sterneck M, Settmacher U, Ganten T, et al. Improvement in gastrointestinal and health-related quality of life outcomes after conversion from mycophenolate mofetil to enteric-coated mycophenolate sodium in liver transplant recipients. Transplant Proc. 2014; 46:234–240.
30. Benzing C, Krezdorn N, Förster J, et al. Impact of different immunosuppressive regimens on the health-related quality of life following orthotopic liver transplantation. Clin Transplant. 2015; 29:1081–1089.

Supplemental Digital Content

Copyright © 2021 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc.