Efficacy and safety of de novo or early everolimus with low cyclosporine in deceased-donor kidney transplant recipients at specified risk of delayed graft function: 12-month results of a randomized, multicenter trial



This article is corrected by:

  1. Errata: Corrigendum Volume 25, Issue 1, 138, Article first published online: 16 December 2011

Jacques Dantal MD, Service de Néphrologie et Transplantation Rénale, Hôpital Hôtel Dieu, 44093 Nantes, France. Tel.: +33 2 40 08 74 53; fax: +33 2 40 08 74 48; e-mail: jacques.dantal@chu-nantes.fr(ClinicalTrials.gov number: NCT00154297)


Immediate or early use of proliferation signal inhibitor (PSI)/mammalian target of rapamycin (mTOR) inhibitor therapy can avoid high exposure to calcineurin inhibitors but concerns exist relating to the risk of delayed graft function (DGF) and impaired wound healing with the mTOR sirolimus. CALLISTO was a 12-month, prospective, multicenter, open-label study. Deceased-donor kidney transplant patients at protocol-specified risk of DGF were randomized to start everolimus on day 1 (immediate everolimus, IE; = 65) or week 5 (delayed everolimus, DE; = 74). Incidence of the primary endpoint (biopsy-proven acute rejection, BPAR; graft loss, death, DGF, wound healing complications related to transplant surgery or loss to follow-up) was 64.6% and 66.2% in the IE and DE groups, respectively, at month 12 (= 0.860). The overall incidence of BPAR was 20.1%. Median estimated glomerular filtration rate was 48 ml/min/1.73 m2 and 49 ml/min/1.73 m2 in the IE and DE groups, respectively, at month 12. DGF and wound healing complications were similar between groups. Adverse events led to study drug discontinuation in 17 IE patients (26.2%) and 28 DE patients (37.8%) (NS). In conclusion, introduction of everolimus immediately or early posttransplant in DGF-risk patients is associated with good efficacy, renal function and safety profile. There seems no benefit in delaying initiation of everolimus.


Everolimus, a proliferation signal inhibitor (PSI)/mammalian target of rapamycin (mTOR) inhibitor, offers potent immunosuppression coupled with an antiproliferative action that inhibits vascular smooth muscle cell proliferation [1], restricting vascular remodelling and neointimal growth in preclinical models [2–5]. The different mode of action of everolimus and calcineurin inhibitors (CNIs) [1] permits CNI exposure to be minimized in de novo kidney transplant without compromising efficacy [6–10]. Such an approach could be expected to ameliorate the CNI-related nephrotoxicity observed with CNI exposure in the early posttransplant phase and minimize irreversible histological damage [11].

However, PSI therapy is often reserved for CNI minimization in the maintenance phase (often in patients who have already developed symptoms of chronic allograft nephropathy) instead of being initiated as primary immunosuppression. This is partly due to reports from single-center studies that the mTOR inhibitor sirolimus is associated with an increased incidence or duration of delayed graft function (DGF) [12,13], and evidence that the rate of wound healing complications may be higher in kidney transplant patients receiving sirolimus [14–18]. However, introduction of PSIs in the maintenance phase after extended exposure to CNI treatment may be of only limited benefit. The CONVERT study, in which 830 kidney transplant patients were converted from CNI therapy to sirolimus at between 6 and 120 months posttransplant, led to an improvement in glomerular filtration rate (GFR) only in those patients with good function at the time of conversion (GFR > 40 m/min) [19]. When conversion from CNI to PSI takes place earlier (<6 months posttransplant), the benefit for renal function is more consistent and sizeable with no loss of efficacy [20–23]. In the recent ZEUS study, in which 300 kidney transplant patients were randomized to convert from cyclosporine (CsA) to everolimus at 4.5 months posttransplant or remain on CsA, calculated GFR was significantly higher in the everolimus cohort at one year posttransplant (72.3 ml/min/1.732 vs. 61.9 ml/min/1.73 m2, P < 0.001) [21], with a similar rate of biopsy-proven acute rejection (BPAR) in both treatment arms [24]. Such results have re-ignited interest in use of de novo PSI therapy in an attempt to minimize early CNI exposure to an even greater extent. When PSI therapy is used from day 1 posttransplant with reduced-exposure CNI, studies have consistently reported good renal function and low rejection rates with everolimus [6,9,10,25–27] or sirolimus [28] but potential concerns about aggravation of renal ischemia-reperfusion injury or impaired wound healing still need to be addressed.

To date no controlled trial has assessed the use of immediate or early administration of everolimus in patients at risk of DGF. CALLISTO was a randomized, multicenter trial in which kidney transplant patients at protocol-specified DGF risk received everolimus from either day 1 or week 5 posttransplant. Three-month results relating to the primary analysis have been published previously [29]. Final results from this 12-month study are described here.


CALLISTO was a prospective, multicenter, open-label study undertaken at 17 transplant centers in France from June 2005 to June 2008.

Adult recipients of a kidney transplant from a deceased donor were eligible to take part in the study if they had one or more risk factor for DGF, defined as donor age >55 years, cold ischemia time ≥24 h but <40 h, and retransplantation. Additionally, while not a criterion for inclusion, recipient age >60 years was considered by the investigators to be a risk factor for DGF. Patients were excluded if they had received a multiorgan transplant or a previous nonkidney transplant, if the donor was nonheart-beating or was ABO incompatible or T-cell cross-match positive, if panel reactive antibodies were ≥30%, body mass index >32 kg/m2, if they had chronic active hepatitis C infection or were HIV or hepatitis B surface antigen positive, or if the donor was positive for hepatitis B surface antigen or hepatitis C.

Patients were randomized on day 1 posttransplant using an automated scratch-card system. The two randomized groups comprised immediate everolimus (IE) or delayed everolimus (DE). In the IE group, everolimus (Certican®, Novartis Pharma AG, Basel, Switzerland) was started on the first day after transplantation (day 1) at 0.75 mg b.i.d., adjusted to target everolimus C0 in the range 3–8 ng/ml using locally measured values recorded with Innofluor® Certican® immunoassay (Seradyn, IN, USA) or HPLC. In the DE group, mycophenolic acid (MPA) was started on day 1 as enteric-coated mycophenolate sodium or mycophenolate mofetil (MMF), dosed according to local practice. MPA was discontinued at week 5 and everolimus was started at 0.75 mg b.i.d., again to target C0 3–8 ng/ml. All patients were given CsA (Neoral®, Novartis Pharma SAS, Rueil-Malmaison, France) within 24 h posttransplant, targeting a locally-measured C2 level of 500–700 ng/ml during weeks 0–8 and 350–450 ng/ml thereafter in the IE group, and 1100–1500 ng/ml during weeks 0–4, 500–700 ng/ml during weeks 5–8 and 350–450 ng/ml thereafter in the DE group. Thus, after week 4 all patients received the same immunosuppressive regimen.

Intravenous prednisone (or equivalent) was administered peri-operatively according to center practice, with oral corticosteroids started at ≥20 mg/day. Corticosteroid doses were tapered according to local practice but discontinuation was not permitted. Interleukin-2 receptor antibody induction was administered to both groups according to local practice.

Unless both recipient and donor were cytomegalovirus (CMV) negative, CMV prophylaxis was strongly recommended at least until the end of month 3. Prophylaxis for Pneumocystis jiroveci pneumonia was also strongly recommended throughout the study, to be administered according to local practice.

Glomerular filtration rate was estimated using the Nankivell formula [30] excluding creatinine values during dialysis or on the day after dialysis.

The primary efficacy endpoint was a composite of the following events: DGF, BPAR, graft loss, death, wound healing complications related to initial transplant surgery or loss to follow-up. DGF was defined as ≥1 dialysis session during days 2–7 posttransplant. The primary analysis for this endpoint was performed at month 3. The sample size calculation assumed that the primary efficacy endpoint would occur in 55% of IE patients by month 3, and in 25% fewer patients in the DE group. A minimum sample size of 122 randomized patients was estimated to have a power of 80% to detect a difference between groups (alpha level 0.05). Statistical comparisons between the two treatment groups were performed using the Fisher’s exact test for categorical variables and unpaired Wilcoxon rank-sum tests for continuous variables. Unpaired Wilcoxon test was used to analyze the duration of DGF and time to nadir serum creatinine. Time-to-event analyses used Kaplan–Meier estimates and log-rank tests. Continuous variables are presented as mean ± standard deviation (SD) unless otherwise stated. Efficacy analyses were performed based on the intent-to-treat population (defined as randomized and treated patients, from whom at least one postbaseline measurement was obtained); safety analyses were performed based on the safety population (defined as randomized and treated patients who provided at least one safety/tolerability assessment).

Conduct of the study complied with the ICH Harmonized Tripartite Guidelines for Good Clinical Practice and the Declaration of Helsinki and amendments. Written informed consent was obtained from all patients following approval from the Comité de Protection des Personnes in France.


Study population

The study population comprised 139 randomized patients (IE 65, DE 74), all of whom received at least one dose of study drug, and were included in both the intent-to-treat and safety populations. Of these, 124 patients (89.2%) completed the 12-month study, 82 of whom (59.0%) remained on study drug (Fig. 1). In the DE group, 15/36 patients who discontinued study drug did so before conversion to everolimus, i.e. they stopped MPA during weeks 0–4. Demographics and baseline characteristics were similar between treatment groups, and there were no significant differences in risk factors for DGF (Table 1). In total, 67 patients (49.6%) had one risk factor for DGF, 56 patients (40.3%) had two risk factors and 14 (10.1%) had three risk factors, as described previously [29].

Figure 1.

 Patient disposition. Patients who discontinued study drug were followed to the last study visit where possible.

Table 1.   Baseline characteristics.
 IE (= 65)DE (= 74)All patients (= 139)
Recipient age (years)
 Mean ± SD57.3 ± 10.558.4 ± 9.9 57.9 ± 10.1
 >6028 (43.1%)41 (55.4%) 69 (49.6%)
Recipient >60 years and donor >55 years23 (35.4%)35 (47.3%) 58 (41.7%)
Male gender46 (70.8%)54 (73.0%)100 (71.9%)
White race59 (90.8%)70 (94.6%)129 (92.8%)
Body mass index (kg/m2) (mean ± SD)24.0 ± 3.424.6 ± 3.5 24.3 ± 3.5
Cause of end-stage renal disease
 Glomerulonephritis/glomerular disease/IgA nephropathy23 (35.4%)17 (23.0%) 40 (28.8%)
 Polycystic disease12 (18.5%)14 (18.9%) 26 (18.7%)
 Hypertension/nephrosclerosis  8 (12.3%)14 (18.9%) 22 (15.8%)
 Diabetes mellitus 6 (9.2%)10 (13.5%) 16 (11.5%)
 Interstitial nephritis 3 (4.6%) 6 (8.1%)  9 (6.5%)
 Other/unknown13 (20.0%)13 (17.6%) 26 (18.7%)
Panel reactive antibodies >10% 3 (4.6%) 2 (2.7%)  5 (3.6%)
Retransplantation 7 (10.8%) 2 (2.7%)  9 (6.5%)
Donor age (years)
 Mean ± SD59.7 ± 12.762.8 ± 10.5 61.4 ± 11.7
 >55 years52 (80.0%)67 (90.5%)119 (85.6%)
Male gender33 (50.8%)44 (59.5%) 77 (55.4%)
HLA mismatches
 0 0 (0.0%) 3 (4.1%)  3 (2.2%)
 1 2 (3.1%) 2 (2.7%)  4 (2.9%)
 ≥263 (96.9%)69 (93.2%)132 (95.0%)
CMV R−/D+10 (15.4%)13 (17.6%) 23 (16.5%)
Cold ischemia time (hours)
 Mean ± SD21.5 ± 6.822.3 ± 6.9 21.9 ± 6.8
 <2445 (69.2%)49 (66.2%) 94 (67.6%)
 ≥2420 (30.8%)25 (33.8%) 45 (32.4%)


All but one patient in each group received IL-2 receptor antibody induction (131 basiliximab, 6 daclizumab). Mean everolimus C0 remained within the target range 3–8 ng/ml at all timepoints in the IE group, with a mean value over the 12-month study of 6.7 ± 2.4 ng/ml. In the DE group, everolimus C0 was within range except during month 2 (9.1 ± 4.4 ng/ml) and the mean value during the 12-month study was 6.5 ± 1.7 ng/ml. Mean CsA C2 level was above target during months 0–6 in the IE group, and during months 2–6 in the DE group (i.e. after introduction of everolimus). At week 1, month 1, month 3, month 6 and month 12 the mean CsA C2 level in the IE group was 909 ± 323, 815 ± 390, 535 ± 219, 468 ± 268 and 390 ± 152 ng/ml. Corresponding values in the DE group were 1181 ± 480, 1213 ± 608, 663 ± 292, 480 ± 214 and 368 ± 117 ng/ml. Except during month 1 in the DE arm, a high percentage of patients had a CsA C2 level above target range: weeks 1–4, IE 78.1% and DE 10.8%; weeks 5–8, IE 48.6% and DE 86.1%; months 3–12, IE 49.0% and DE 57.4%. Both groups showed similar mean CsA C2 levels at month 6 (IE 468 ± 268 ng/ml, DE 480 ± 214 ng/ml) and month 12 (IE 390 ± 152 ng/ml, DE 368 ± 117 ng/ml). Median steroid dose decreased from month 1 [IE 13.9 mg/day (range 5.0–178.6), DE 14.4 mg/day (6.2–99.6)] and month 3 (IE 8.4 mg/day [(5.0–62.3), DE 9.4 mg/day (5.0–875)] to month 6 [IE 7.1 mg/day (0.4–85.8), DE 6.8 mg/day (2.5–378)] and month 12 [IE 5.0 mg/day (2.5–28.6), DE 5.0 mg/day (2.5–10.0)]. Eleven IE patients (16.9%) and 15 DE patients (20.3%) received steroids for treatment of rejection.

Efficacy and graft function

At month 12, patient survival was 92.3% and 97.3% in the IE and DE groups, respectively, and death-censored graft survival was 90.7% and 93.0%. There were six graft losses in the IE group [infection [2], antibody-mediated rejection, renal vein thrombosis, immunosuppression withdrawal due to septic shock (everolimus was withdrawn on the day before the event) and trauma to the graft following a fall] and five graft losses in the DE group (renal artery thrombosis [2], renal vein thrombosis, urological complications and vascular rejection). Five deaths (7.7%) were reported among IE patients, including two patients who had previously lost their graft (i.e. three deaths with a functioning graft), due to septic shock [2], disseminated aspergillosis infection, hemorrhage of the iliac artery and cardiac failure. There were two deaths (2.7%) in the DE group, caused by sudden death at home and cerebrovascular accident.

The primary endpoint, occurrence of BPAR, graft loss, death, DGF, wound healing complications related to transplant surgery or loss to follow-up, was similar between treatment groups at month 3 [IE 36 (55.4%), DE 47 (63.5%); P = 0.387] and month 12 [IE 42 (64.6%), DE 49 (66.2%), P = 0.860]. Kaplan–Meier estimates showed that the endpoint occurred earlier in the DE group than the IE cohort during the first 6 months of the study but thereafter the two curves are similar with no significant difference over the 12-month study (log-rank test, P = 0.505; Fig. 2a). Additionally, there were no significant differences in the incidence of the primary endpoint between the IE and DE groups at any time point from month 1 to 12 in the subpopulation of patients with at least two risk factors of DGF (as defined above; data not shown).

Figure 2.

 (a) Time to primary endpoint (log-rank test P = 0.505) and (b) freedom from first BPAR (log-rank test P = 0.889) (Kaplan–Meier estimates).

There were no significant differences between the IE and DE arms for any component of the primary endpoint (Table 2). Overall, DGF occurred in 24.5% of these high-risk patients, with no difference between groups (Table 2). The overall incidence of BPAR at 12 months was 20.1%, with no significant difference between groups (Fig. 2b) and no increase in the rate of BPAR after conversion from MPA to everolimus in the DE group. The incidence of BPAR was similar in both treatment arms after week 4 (i.e. the time of conversion). The majority of the episodes (28/31) were categorized as Grade I or IIA (Banff 1997 classification [30]) (Table 2).

Table 2.   Efficacy endpoints at month 12 posttransplant. All between-group differences were nonsignificant.
 IE (= 65)DE (= 74)All patients (= 139)
  1. *DGF (defined as ≥1 dialysis session in the first week posttransplantation excluding day 1), BPAR, graft loss, death or loss to follow-up, or occurrence of wound healing complications related to transplant surgery.

  2. †Defined as ≥1 dialysis session in the first week posttransplantation excluding day 1.

  3. ‡Lymphocele, hematoma, seroma.

Primary endpoint*42 (64.6%)49 (66.2%)91 (65.5%)
DGF†16 (24.6%)18 (24.3%)34 (24.5%)
BPAR13 (20.0%)15 (20.3%)28 (20.1%)
 Grade 1A9413
 Grade 1B6410
 Grade IIA145
 Grade IIB033
Graft loss6 (9.2%)5 (6.8%)11 (7.9%)
Death5 (7.7%)2 (2.7%)7 (5.0%)
Wound healing complication related to initial transplant surgery26 (40.0%)28 (37.8%)54 (38.8%)
 Fluid collection‡24 (36.9%)25 (33.8%)49 (35.2%)
 Wound dehiscence02 (2.7%)2 (1.4%)
 Incisional hernia2 (3.1%)02 (1.4%)
 Urine leak2 (3.1%)2 (2.7%)4 (2.9%)
 Delayed scar cicatrisation02 (2.7%)2 (1.4%)
Loss to follow-up0 (0.0%)3 (4.1%)3 (2.2%)

Median (range) estimated GFR (eGFR) was similar between treatment groups at baseline [IE 17.0 (0–36.0) ml/min/1.73 m2, DE 18.0 (0–33.5) ml/min/1.73 m2, P = 0.534] and month 12 [IE 48.0 (0–106) ml/min/1.73 m2, DE 49.0 (0–95) ml/min/1.73 m2, P = 0.724]. The corresponding mean values were 17.6 ± 8.7 ml/min/1.73 m2 and 18.3 ± 9.1 ml/min/1.73 m2 at baseline and 48.4 ± 21.3 ml/min/1.73 m2 and 49.0 ± 22.2 ml/min/1.73 m2 at month 12 (Fig. 3). Median time from transplantation to serum creatinine <180 μmol/l was similar in both groups [IE 11 (2–187) days, DE 9 (2–193) days; P = 0.50], as was the median time from transplantation to eGFR > 50 ml/min/1.73 m2 [IE 16 (2–269) days, DE 11 (3–193) days; P = 0.17]. Median values for nadir serum creatinine and time to nadir serum creatinine were similar between groups (Table 3).

Figure 3.

 Estimated GFR (Nankivell). Values shown are mean ± SD.

Table 3.   Graft function parameters. All between-group differences were nonsignificant. Continuous variables are shown as median (range).
 IE (= 65)DE (= 74)
  1. *Nankivell formula.

  2. †Data missing in remaining patients.

  3. ‡During months 0–12, excluding day 1.

Estimated GFR at month 12 (ml/min/1.73 m2)*48 (0–106)49 (0–95)
Serum creatinine at month 12 (μmol/l)159 (72–1044)168 (70–920)
Nadir serum creatinine (μmol/l)138 (57–637)133 (51–695)
Time to nadir serum creatinine (days)90 (2–378)85 (1–421)
 24-hour proteinuria at  month 12 (mg/24 h)280 (0–2340) (= 22†)265 (0–2340) (= 20†)
 Urine proteinuria/creatinine  ratio at month 12 (g/mmol)0.2 (0–1.3) (= 33†)0.3 (0–4.5) (= 31†)
Incidence of posttransplant dialysis, n (%)‡16 (24.6%)24 (32.4%)
Number of dialysis sessions per patient5 (1–26)3 (1–12)
Duration of dialysis (days)11.5 (1–28) 5.5 (1–29)

In the DGF cohort, mean eGFR after month 3 (when renal function stabilized) ranged from 32–49 ml/min/1.732, compared to 51–59 ml/min/1.732 in the patients without DGF. As for the total study population, the median time from transplantation to serum creatinine <180 μmol/l was similar in both treatment groups [IE 20 (4–187) days; DE 28 (7–193) days; P = 0.35] among patients with DGF, as was the median time from transplantation to eGFR > 50 ml/min/1.73 m2 [IE 91 (22–257) days, DE 91.5 (31–193) days; P = 0.96].

No marked between-group differences were observed for any other measured renal function parameter at month 12 including urine proteinuria/creatinine ratio, 24-h proteinuria and requirement for dialysis (Table 3). Proteinuria was reported as an adverse event in 15 patients (10.8%) (8 IE, 7 DE). At month 12, the incidence of dialysis (excluding dialysis after graft loss) was 24.6% in the IE group versus 32.4% in the DE group (P = 0.35). Other than six IE patients who required dialysis for DGF, no IE patient required dialysis while having a functioning graft. In the DE group, six patients required dialysis who had not experienced DGF: five during the first three months posttransplant, and one after month 3. The latter patient required one session due to fluid overload secondary to acute pulmonary edema during the period months 6–9. The median duration of dialysis (including dialysis for DGF) throughout the 12-month study was 11.5 days (range 1–28) and 5.5 days (1–29 days) in the IE and DE groups respectively (P = 0.55); the median number of dialysis sessions was 5 (1–26) and 3 (1–12). There were no significant differences in the mean duration of DGF (IE 10.2 ± 5.8 days, DE 7.6 ± 8.0 days; P = 0.746) between groups.

Adverse events

All patients experienced one or more adverse event during the study. The most frequent of these were peripheral edema, anemia, urinary tract infection and complications of the transplanted kidney (Table 4).

Table 4.   Adverse events occurring in ≥15% of patients in either treatment group by month 12.
  IE (= 65)DE (= 74)All patients (= 139)
  1. *Mainly represented by DGF and slow graft function reported as adverse events.

  2. †As reported by investigators as adverse events; these differ from the incidence as reported on specific wound healing case report forms (see text and Table 2).

Any adverse event65 (100.0%)74 (100.0%)139 (100.0%)
Anemia28 (43.1%)34 (45.9%)62 (44.6%)
Peripheral edema26 (40.0%)42 (56.8%)68 (48.9%)
Urinary tract infection25 (38.5%)29 (39.2%)54 (38.8%)
Complications of kidney graft*20 (30.8%)20 (27.0%)40 (28.8%)
Hypertension17 (26.2%)21 (28.4%)38 (27.3%)
Lymphocele*13 (20.0%)10 (13.5%)23 (16.5%)
Dyslipidemia12 (18.5%)15 (20.3%)27 (19.4%)
Constipation12 (18.5%)14 (18.9%)26 (18.7%)
Renal impairment10 (15.4%)8 (10.8%)18 (12.9%)
Hematoma†7 (10.8%)12 (16.2%)19 (13.7%)
Hypokalemia5 (7.7%)13 (17.6%)18 (12.9%)

Thrombocytopenia and hyperlipidemia were reported as adverse events in fewer than 5% of patients in both treatment arms. In the IE and DE groups at month 12, mean total cholesterol was 6.2 ± 1.7 mmol/l and 6.0 ± 1.3 mmol/l, mean triglyceride level was 2.3 ± 1.5 mmol/l and 2.1 ± 1.1, and lipid modifying agents were used in 34 patients (52.3%) and 37 patients (50.0%), respectively. Mean blood pressure at baseline and month 12 was 141/78 mmHg and 146/81 mmHg in the IE group, and 135/75 mmHg and 142/75 mmHg in the DE group, respectively.

Adverse events considered by the investigator to be related to study drug occurred in 46 IE patients (70.8%) and 44 DE patients (59.5%). One or more infection was reported in 44 IE patients (67.7%) and 44 DE patients (59.5%) by month 12. Bacterial infections occurred in 33 IE patients (50.8%) and 33 DE patients (44.6%), viral infections in 8 IE patients (12.3%) and 14 DE patients (18.9%), fungal infections in 6 IE patients (9.2%) and 4 DE patients (5.4%) and infections of unknown type in 12 IE patients (18.5%) and 15 DE patients (20.3%). CMV infection occurred in one patient (1.5%) in the IE group and in five patients (6.8%) in the DE cohort.

Serious adverse events were reported in 102 patients (73.4%), with a similar distribution in each group [IE 45 (69.2%,) DE 57 (77.0%)]. Serious adverse events included those related to the transplant (acute renal failure [11], increased serum creatinine [11], rejection [9], renal impairment [7] and complications of the transplanted kidney [6]), as well as pyelonephritis/acute pyelonephritis [11], urinary tract infection [12], sepsis/septic shock [9], hypertension [6], lymphocele [7] and pyrexia [6]. Malignancy was reported in one patient in the IE group (basal cell carcinoma diagnosed at 1 year posttransplant during everolimus and CsA therapy), and four patients in the DE group (basal cell carcinoma diagnosed on day 107 during everolimus/CsA therapy; Kaposi’s sarcoma in a man aged 63 years of black race, diagnosed on day 59 posttransplant and 30 days after everolimus therapy initiation and which may have existed prior to transplant; leukemia diagnosed on day 15 which may have been present pretransplant; and prostate cancer diagnosed on day 11 which again may have been preexisting).

At month 12, adverse events or infections led to discontinuation of study medication in 17 IE patients (26.2%) and 26 DE patients (35.1%) (NS). Most study drug discontinuations occurred within the first three months [13 IE patients (20.0%) and 17 DE patients (23.0%); 12/17 of these DE patients discontinued before conversion to everolimus, while receiving MPA]. The most frequent of these were rejection [7 (2 IE, 5 DE)], infection [7 (5 IE, of whom a relation to study drug was suspected in 2 cases, 2 DE)] and renal impairment [4 (3 IE, 1 DE)]. Two patients in the DE cohort discontinued study medication due to proteinuria while receiving MPA. One patient in the IE arm discontinued due to thrombocytopenia; no patient discontinued due to dyslipidemia.

Wound healing

There was a similar incidence of wound healing complications in both treatment groups at month 12 for events related to initial transplant surgery [IE 26 (40.0%), DE 28 (37.8%), P = 0.86], and for all events [IE 28 (43.1%), DE 32 (43.2%), P = 1.00], and consistent with results reported previously at months 1 and 3 [29]. Very few new wound healing complications occurred after month 3 (2 in the IE group that were both reported as related to transplant surgery, and one in the DE group that was unrelated to the transplant procedure). Table 2 summarizes the type of wound healing complications occurring in relation to initial transplant surgery. For all wound healing events, regardless of relation to the transplant procedure, fluid collections (i.e. seroma, lymphocele or hematoma) also accounted for most complications (IE 26/28, DE 28/32), usually occurring within the first month posttransplant; in addition there were five cases of urine leak (IE 2, DE 3), two incisional hernias (both in the IE group) and two cases of wound dehiscence (both in the DE group).


The use of immediate or early everolimus with reduced CsA resulted in good graft and patient survival and a BPAR rate of ∼20% with appropriate renal function in this population of kidney transplant patients preselected for risk of DGF. These results are encouraging, indicating that the high CsA levels which are associated with the acute phase of nephrotoxicity in the first few months after transplantation [31] can be avoided by concomitant use of everolimus and low CsA without compromising efficacy.

In our population, de novo use of everolimus from the time of transplant was not associated with any disadvantage in terms of delaying graft recovery, even though patients were selected to have one or more risk factor for DGF. The rate and duration of DGF was similar with or without IE treatment from day 1 posttransplant. The observed DGF incidence of ∼25% in this at-risk population was, as expected, somewhat higher than in standard-risk kidney transplant populations receiving everolimus in combination with low-exposure CNI therapy and corticosteroids, in which the rate of DGF has been reported to range from 8.7% [9] to 20% [6]. It is interesting to note, for comparison, that the large SYMPHONY study recently reported a DGF incidence of 32–36% in deceased-donor kidney transplant patients receiving CNI therapy [18]. Of note, deceased-donor patients receiving low-dose sirolimus with MPA in that study showed only a 21% rate of DGF, raising questions about the validity of findings from single-center studies suggesting that DGF is more likely in PSI-treated individuals [12,13,32–34]. Recently, it has been proposed that a BMI greater than 30–32 kg/m2 is the most significant variable related to delayed wound healing in sirolimus-treated individuals and that a systematic program of wound care can produce wound healing complications comparable with that reported with other agents [35]. In the current trial, the discrepancy in CsA target levels means that no robust comparison of everolimus versus no everolimus can be performed since the difference in CNI exposure may have exerted an effect.

There was no evidence that IE incurred a penalty in terms of wound healing, since the occurrence of wound healing complications was virtually identical in both treatment groups. This is consistent with a recent pooled analysis of data from four studies in which no difference was observed for the incidence or severity of wound healing complications in kidney transplant patients receiving either MMF or everolimus as de novo immunosuppression [36]. Given the relatively robust indications in the literature that sirolimus may lead to an increased rate of wound healing complications following kidney transplantation [14–18,37], the intriguing question arises as to why a difference may potentially exist between these two PSIs. Contributing factors could be the known pharmacokinetic variations between everolimus and sirolimus [38] and the use of loading doses of sirolimus at some centers, but these possibilities are as yet unexplored.

Renal function stabilized between months 1 and 12 in both treatment groups. eGFR was similar between treatment groups at the end of the 12-month study. Renal function was less good than in standard-risk kidney transplant recipients, probably due to the high proportion of older recipients and donors in our population. Additionally, while everolimus levels remained within target, at least 45% of patients exceeded the target CsA C2 range at all points other than in the DE group in month 1, and this overexposure would be expected to have impaired renal function. The higher-than-planned CsA exposure in both arms of the trial may also have influenced other endpoints, such as the BPAR rate, which should be borne in mind when interpreting the study results.

It is interesting to note that CMV infection was reported as an adverse event in only one patient who received everolimus immediately posttransplant, compared to five of the patients given MPA for the first four weeks. While these numbers are of course very low, and are not as robust as prospective collection of CMV data, they are consistent with larger-scale data from kidney [39] and heart [40] transplant populations.

The rate of study drug discontinuation due to adverse events was lower in the IE arm (26.2%) than in the DE arm (35.1%), for reasons that are not clear. During months 0–3, when the DE group were receiving MPA for the first four weeks and subsequently experiencing higher everolimus levels than in the IE group, there was little difference in the number of patients discontinuing because of adverse events [IE 12 (18.5%), DE 15 (20.3%)] and variations in discontinuation after month 3 cannot be attributed to the immunosuppression regimen since this was identical. The relatively high rate of discontinuation during the first four weeks of MPA treatment may have been influenced by the unexpectedly high CNI exposure during this period. The rate of drug discontinuation for adverse events in the IE group was not markedly higher than in other recent studies in PSI-free regimens [18,34]. Proteinuria, while reported as an adverse event in approximately 11% of patients, required study drug discontinuation in only two individuals.

In conclusion, introduction of everolimus either immediately or early after kidney transplantation in patients known to be at risk of DGF is associated with good efficacy, renal function and safety profile at 12 months when administered with a regimen of low-CsA, corticosteroids and IL-2R antibody induction. These results indicate that immediate introduction of everolimus is not associated with any disadvantage in terms of graft recovery or wound healing compared to initiation at week 4, even in patients at risk of DGF.


JD, CL, LR, M-C M, FdG contributed to the design of the study. JD, FB, M-C M, LR, CL, RG, OT, BM, PM, J-P R, FB, PFW, DG, NK, NL, BC and EC performed the study and undertook data collection. SQ was the study statistician. JD, CL, LR, EC, SQ and FdG analyzed the data. All authors reviewed and approved the manuscript.

Funding support

The study was supported by Novartis Pharma AG (Basel, Switzerland) and Novartis Pharma SAS (Rueil-Malmaison, France).


The authors would like to thank the CALLISTO Study Group (see Appendix) and Professors Eric Rondeau (Paris) and Guy Touchard (Poitiers) for their participation in the Data Monitoring Committee. A medical writer funded by Novartis contributed to development of the manuscript.


Appendix. The CALLISTO Study Group

Prof Eric Alamartine, Saint Etienne; Dr Laetitia Albano, Nice; Dr Dany Anglicheau, Paris; Dr François Bayle, Grenoble; Dr Séverine Beaudreuil, Kremlin-Bicêtre; Prof François Berthoux, Saint Etienne; Prof Bernard Bourbigot, Brest; Dr Bruno Bourgeon, Saint-Denis-La Réunion; Dr Laura Braun-Parvez, Strasbourg; Dr Maria Brunet, Lyon; Dr Sophie Caillard, Strasbourg; Dr Elisabeth Cassuto, Nice; Prof Bernard Charpentier, Kremlin-Bicêtre; Prof Jacques Dantal, Nantes; Prof Antoine Durrbach, Kremlin-Bicêtre; Dr Jean-Pierre de Filippis, Saint-Etienne; Dr Hélène François, Kremlin-Bicêtre; Dr Carlos Frangie, Kremlin-Bicêtre; Dr Robert Genin, Saint-Denis-La Réunion; Prof Denis Glotz, Paris; Dr Bénédicte Janbon, Grenoble; Dr Nassim Kamar, Toulouse; Dr Niloufar Kossari, Paris; Dr Sylvie Lavaud, Reims; Dr Nicole Lefrançois, Lyon; Prof Christophe Legendre, Paris; Prof Yannick Le Meur, Brest; Prof Christophe Mariat, Saint-Etienne; Dr Hakim Mazouz, Amiens; Prof Pierre Merville, Bordeaux; Prof Françoise Mignon, Paris; Dr Marie-Christine Moal, Brest; Dr Delphine Morel, Bordeaux; Prof Emmanuel Morelon, Lyon; Prof Bruno Moulin, Strasbourg; Prof Marie Noëlle Peraldi, Paris; Dr Evangeline Pillebout, Paris; Dr Christine Randoux, Paris; Dr Jean-Phillipe Rerolle, Limoges; Prof Lionel Rostaing, Toulouse; Prof Jean-Paul Soulillou, Nantes; Dr Olivier Toupance, Reims; Dr Pierre François Westeel, Amiens. All participating centers were located in France.