Literature DB >> 21931704

Calcineurin-inhibitor minimization in liver transplant patients with calcineurin-inhibitor-related renal dysfunction: a meta-analysis.

Yuan Kong1, Dongping Wang, Yushu Shang, Wenhua Liang, Xiaoting Ling, Zhiyong Guo, Xiaoshun He.   

Abstract

BACKGROUND: Introduction of calcineurin-inhibitor (CNI) has made transplantation a miracle in the past century. However, the side effects of long-term use of CNI turn out to be one of the major challenges in the current century. Among these, renal dysfunction attracts more and more attention. Herein, we undertook a meta-analysis to evaluate the efficacy and safety of calcineurin-inhibitor (CNI) minimization protocols in liver transplant recipients with CNI-related renal dysfunction.
METHODS: We included randomized trials with no year and language restriction. All data were analyzed using random effect model by Review Manager 5.0. The primary endpoints were glomerular filtration rate (GFR), serum creatinine level (sCr) and creatinine clearance rate (CrCl), and the secondary endpoints were acute rejection episodes, incidence of infection and patient survival at the end of follow-up.
RESULTS: GFR was significantly improved in CNI minimization group than in routine CNI regimen group (Z = 5.45, P<0.00001; I(2) = 0%). Likely, sCr level was significantly lower in the CNI minimization group (Z = 2.84, P = 0.005; I(2) = 39%). However, CrCl was not significantly higher in the CNI minimization group (Z = 1.59, P = 0.11; I(2) = 0%). Both acute rejection episodes and patient survival were comparable between two groups (rejection: Z = 0.01, P = 0.99; I(2) = 0%; survival: Z = 0.28, P = 0.78; I(2) = 0%, respectively). However, current CNI minimization protocols may be related to a higher incidence of infections (Z = 3.06, P = 0.002; I(2) = 0%).
CONCLUSION: CNI minimization can preserve or even improve renal function in liver transplant patients with renal impairment, while sharing similar short term acute rejection rate and patient survival with routine CNI regimen.

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Year:  2011        PMID: 21931704      PMCID: PMC3170329          DOI: 10.1371/journal.pone.0024387

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

With 1-year liver allograft survival rates now exceeding 80% [1], attention is increasingly being paid on improving long-term morbidity and mortality in liver transplant recipients. Renal dysfunction is the most concerned long-term complication post-liver transplantation, because it was estimated that 18% of recipients would develop chronic renal failure or end-stage renal disease by 5 years post-transplant and renal dysfunction would significantly increase mortality risk [2]–[4]. Multiple factors have been reported to be involved in chronic renal impairment in liver transplant recipients [2], [4], [5]. Among these, high level exposure of calcineurin-inhibitors (CNI), namely cyclosporin A (CsA) and tacrolimus (Tac), is a well recognized risk factor [2], [6], [7]. Importantly, although chronic CNI-induced renal insufficiency is associated with structural changes in the kidney [8]–[10], an improvement in renal function can be observed in patients after CNI reduction [11]–[13]. Nonetheless, the initial attempts to withdraw CNI leaded to increased acute rejection risk [14]. To tip the balance between potent immunosuppression and less CNI exposure, several prospective, randomized, and controlled trials (RCTs) of novel CNI minimization protocols were conducted recently [15]–[23]. However, current knowledge about these protocols is dependent on single institution studies, which was often limited by small sample sizes and individual practice patterns. Herein, we performed a meta-analysis of the available literature to better understand the efficacy and safety of CNI minimization protocols in liver transplant patients with CNI-related renal dysfunction. This data provide important insight capable of better informing clinical physicians regarding the treatment of CNI-related renal dysfunction.

Methods

Study design, search strategy, and study selection

Before data collection, two general protocols were designed to be compared: CNI minimization regimen and routine CNI regimen. To limit publication bias, we included published trials with no language or year restrictions. Initial searches of MEDLINE, EMBASE databases and the Cochrane Database of Systematic Reviews included terms: calcineurin-inhibitor, cyclosporin A, tacrolimus or FK506, minimization, withdrawal, reduction, elimination and liver transplantation. To be included, trials had to be randomized, not confounded by additional therapeutic differences between the two protocols. Trials should compare renal function of liver transplant recipients receiving routine CNI regimen versus CNI minimization regimen for CNI-related renal impairment. To limit the renal function in a comparable range, we only included patients with glomerular filtration rate (GFR) under 60 ml/min, serum creatinine level (sCr) more than 1.5 mg/dl or creatinine clearance rate (CrCl) under 70 ml/min before enrollment according to the National Kidney Foundation (NKF) recommendation for chronic kidney disease (CKD) and the staging index used in clinical practice. To make sure that routine CNI regimen and CNI minimization protocols are practiced as their names, in each trial the CNI dose in the minimization group should be initially reduced by at least 25% of the dose as is used in the routine regimen group to achieve a lower target trough levels, or CNI were completely withdrawn and converted to non-CNI based protocols.

Quality assessment of trials included

A quality assessment was carried out for all the retrieved RCTs. Quality in a systematic review essentially refers to the absence of biases. To assess the methodological validity of the studies included in this review the following aspects were evaluated: allocation concealment, intention to treat analysis or not, blinding and description of handling of missing data. Articles were assessed by two reviewers (DW and YS) independently. Disagreements were resolved by consultation with a third reviewer (ZG).

Data extraction and outcome measures

For the trials included in our meta-analysis, we sought data for demography information, renal function (GFR, sCr and CrCl), acute rejection (AR), incidence of infections (including cytomegalovirus (CMV), varicella zoster virus (VZV), herpes simplex infection and nasopharyngitis, bronchitis, pneumonia, stomatitis events and urinary tract infection (UTI)), and patient survival for all patients. The primary outcomes of our meta-analysis were renal function, and the secondary outcomes were AR, incidence of various infections and patient survival. The data were extracted by two investigators (YK and YS) independently. The conduct and reporting were in accordance with the Quality of Reporting of Meta-Analyses statement.

Statistical analysis

For every outcome, we used the statistical software Review Manager 5.0 (The Cochrane Collaboration, Oxford, United Kingdom) to analyze the collected data and to compare each treatment group with the routine CNI regimen group. The primary outcomes (GFR, sCr and CrCl) and the secondary outcomes (AR, incidence of infections, patient survival) were analyzed as continuous and dichotomized variables using random effect model, and their results were reported as mean difference (95% confidence interval) and odds ratio (95% confidence interval), respectively. The statistic strength was measured by overall effect size Z and heterogeneity index I2.

Results

Characteristics of included studies

We included 32 trials with 1383 patients in the current meta-analysis, including 10 RCTs [14]–[23] with 625 patients and 22 observational trials [12], [13], [24]–[43] with 758 patients. Figure 1 shows the flow diagram of study identification. Half of the 10 RCTs achieved CNI withdrawal or completely conversion in the end of study [14], [15], [19], [20], [22]. For those CNI was not completely withdrawn, MMF was started mostly at 500 mg twice a day [16]–[18], [23] and in one study at 1000 mg twice a day [21] and eventually achieved 1000–2000 mg twice a day. Accordingly, CNI dose was gradually reduced by at least 25% to reach CsA trough level of 25–50 ng/mL or Tac trough level of 2–4 ng/mL [16]–[18], [23]. Since the included 32 trials used different measures of primary outcome, we analyzed the data according to 3 different outcome measures: GFR, sCr and CrCl. Additionally, 22 observational trials compared renal function collected at baseline pre- and post-conversion. Although it was inappropriate to combine these data in a meta-analysis with that of 10 RCTs, considering these trials did follow our principle of this analysis, we included them anyway and did a separate meta-analysis for reference and supplement. Table 1 shows the basic characteristics of the included studies (the first 10 were RCTs and the remaining 22 were observational studies). In general, the CNI minimization protocols used in these 32 trials were divided into 3 categories: mycophenolate mofetil (MMF) -based, sirolimus (SRL) -based and everolimus (ERL) -based regimens. We compared them both individually and collectively with the routine CNI regimen in this meta-analysis to limit heterogeneity and gain a better understanding of the efficacy and safety profiles of different protocols.
Figure 1

Flow diagram of study identification.

Table 1

Basic characteristics of the studies included in this meta-analysis.

AuthorYearCountryNumber of PatientGender (Male/Female)Drug Used (CNI minimization/Routine CNI regimen)Initial CNI trough levels (ng/mL)Duration of Follow-up
H.J.Schlitt et al14 2001Germany2819/9MMF/CNI+AZA+steroidsCsA 100–120/Tac 8–106 m
P.De Simone et al15 2009Italy14585/60Everolimus+CNI↓+steroids/CNI* CsA 105.5/Tac 5.6512 m
V.R.Cicinnati et al16 2007Germany7551/24CNI↓+MMF+steroids/CNI* CsA 110.6/Tac 6.5912 m
S.Beckebaum et al17 2004Germany3222/10CNI↓+MMF/CNI* CsA 116/Tac 5.612 m
G.P.Pageaux et al18 2006France5645/11CNI↓+MMF/CNI* CsA 162/Tac 4.412 m
U.Eisenberger et al19 2009Switzerland1612/4Sirolimus*/CNI* CsA 160/Tac 10/812 m
C.C.Rogers et al20 2009U.S.A.8246/36Sirolimus*/CNI* CsA 100–150/Tac 6–812 m
M.Biselli et al21 2009Italy6050/10CNI↓+MMF/CNI* CsA 120/Tac 712 m
S.Shenoy et al22 2007U.S.A.4029/11Sirolimus*/CNI* CsA 150/Tac 6.312 m
S.Beckbaum et al23 2009Germany9063/27CNI↓+MMF/CNI* N/A12 m
A.Kornberg et al12 2005Germany4329/14CNI↓+MMF/CNI* CsA 143.6/Tac 9.96 m
M.Cantarovich et al13 2003Canada19N/ACsA↓+MMF/CsA* CsA 13212 m
L.B.Pulido et al24 2008Spain31N/AMMF*/CNI* CsA 65.63/Tac 3.7212 m
D.Reich et al25 2005U.S.A.1510/5MMF+steroids/CNI* CsA 188.8/Tac 10/813 m
F.Di Benedetto et al26 2009Italy31N/ASirolimus+steroids/CNI+steroidsN/A36 m
C.Ponton et al27 2010Spain8874/14CNI↓+MMF/CNI* N/A6 m
C.Creput et al28 2007France4937/12CNI↓+MMF/CNI+AZA+steroidsCsA 100–250/Tac 5–1036 m
R.O.Koch et al29 2004Austria3222/10CNI↓+MMF+steroids/CNI+AZA+steroidsCsA 32/Tac 2.76 m
M.L.Raimondo et al30 2003U.K.1610/6MMF*/CNI+AZA+steroidsN/A12 m
J.M.M.Planas et al31 2004Spain5032/18MMF/CNI* CsA 93/Tac 6.518 m
U.Tannuri et al32 2007Brazil115/6CNI↓+MMF/CNI+ steroidsTac 6–824 m
R.Pfitzmann et al33 2002Germany47N/ACNI↓+MMF/CNI+steroidsCsA 100–180/Tac 5–106 m
K.D.Fairbanks et al34 2003U.S.A.2110/11Sirolimus*/CNI* N/A16 m
E.Q.Sanchez et al35 2005U.S.A.35N/ASirolimus+CNI↓+MMF/CNI+MMF+steroidsN/A24 m
Y.J.Yang et al36 2008China1616/0Sirolimus*/CNI* N/A6 m
G.Orlando et al37 2007Italy4234/8MMF/CNI* CsA 129/Tac 2.312 m
P.De Simone et al38 2009Italy7051/19Everolimus*/CNI* CsA 100–150/Tac 3–812 m
S.Dharancy et al39 2009France5243/9MMF*/CNI+AZA+steroidsCsA 150–250/Tac 6–1212 m
I.Morard et al40 2007Switzerland9N/ASirolimus*/CNI* CsA 96/Tac 723 m
M.Vivarelli et al41 2010Italy28N/ASirolimus+steroids/CNI* N/A12 m
J.Castroagudin et al42 2011Spain3026/4Everolimus*/CNI* N/A12 m
A.H.Cotterell et al43 2002U.S.A.85/3Sirolimus+CNI↓/CNI* N/A12 m

*Regimen based on one drug with concomitant drug(s) that was either prednisone, or AZA, or MMF. Abbreviations: CNI, calcineurin inhibitor; MMF, mycophenolate mofetil; AZA, azathioprine; N/A, not available.

*Regimen based on one drug with concomitant drug(s) that was either prednisone, or AZA, or MMF. Abbreviations: CNI, calcineurin inhibitor; MMF, mycophenolate mofetil; AZA, azathioprine; N/A, not available.

Methodological quality

In general, the methodological quality of the included 10 RCTs was not bad. However, only 3 studies described the allocation sequences. And 3 studies used the intention-to-treat analysis to avoid detection and attrition bias. All RCTs except one were open-labeled study. Table 2 summarizes the risk evaluation of bias.
Table 2

Risk of bias in the randomized controlled trials.

AuthorsAllocation Sequence DescribedIntention To Treat AnalysisBlindingHandling Of Missing Data
PatientPersonnelAssessor
Schlitt et al (2001)14 NoYesYesNoNoUnclear
Simone et al (2009)15 YesYesNoNoNoUnclear
Cicinnati et al (2007)16 NoYesNoNoNoUnclear
Beckebaum et al (2004)17 NoNoNoNoNoUnclear
Pageaux et al (2006)18 NoNoNoNoNoUnclear
Eisenberger et al (2009)19 YesNoNoNoNoUnclear
Rogers et al (2009)20 NoNoNoNoNoUnclear
Biselli et al (2009)21 NoNoNoNoNoUnclear
Shenoy et al (2007)22 YesNoNoNoNoLast Value Forward
Beckbaum et al (2009)23 NoNoNoNoNoUnclear

CNI minimization improves renal function

Firstly, we conducted a meta-analysis of 10 RCTs regarding GFR in patients receiving CNI minimization (including MMF and sirolimus subgroups) versus routine CNI regimen, which was shown in Figure 2. The forest plot graph of the comparison showed that in MMF subgroup, GFR of recipients was significantly higher than in routine CNI regimen group (Z = 5.16, P<0.00001; I2 = 0%). While in sirolimus subgroup, the improvement of GFR over routine CNI regimen group was not statistically significant (Z = 1.73, P = 0.08; I2 not applicable). In total, in the included RCTs, GFR was significantly improved in CNI minimization group as compared to routine CNI regimen group (Z = 5.45, P<0.00001; I2 = 0%). Similarly, a meta-analysis of the included observational trials regarding GFR (shown in Figure S1) demonstrated that in MMF subgroup, GFR was significantly higher than in the routine CNI regimen group (Z = 3.95, P<0.0001; I2 = 71%). And in sirolimus subgroup, the improvement of GFR over the routine CNI regimen group was also significant (Z = 3.17, P = 0.002; I2 = 90%). Collectively, in the included observational studies, GFR was significantly improved in the CNI minimization group (Z = 3.59, P = 0.0003; I2 = 94%).
Figure 2

Meta-analysis of CNI minimization versus routine CNI regimen in GFR (RCTs).

In MMF subgroup, the GFR of recipients was significantly higher than in routine CNI regimen group. In sirolimus subgroup, the improvement of GFR over routine CNI regimen group was not statistically significant. In the total 10 RCTs, the GFR was significantly improved. Z = total effect size, I2 = heterogeneity index. Columns in green represent the mean difference of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI.

Meta-analysis of CNI minimization versus routine CNI regimen in GFR (RCTs).

In MMF subgroup, the GFR of recipients was significantly higher than in routine CNI regimen group. In sirolimus subgroup, the improvement of GFR over routine CNI regimen group was not statistically significant. In the total 10 RCTs, the GFR was significantly improved. Z = total effect size, I2 = heterogeneity index. Columns in green represent the mean difference of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI. Then, we conducted a meta-analysis of sCr of patients receiving CNI minimization (including MMF and sirolimus subgroups) versus routine CNI regimen, which was shown in Figure 3. The forest plot graph of the comparison showed that in MMF subgroup, the sCr level of patients was significantly lower than in routine CNI regimen group (Z = 4.19, P<0.0001; I2 = 0%). While in sirolimus subgroup, the decrease of sCr level was not statistically significant in comparison with routine CNI regimen group (Z = 0.58, P = 0.56; I2 not applicable). Collectively, in the included RCTs, the sCr level was significantly decreased in CNI minimization group (Z = 2.84, P = 0.005; I2 = 39%). In addition, a meta-analysis of the included observational trials regarding sCr level (Figure S2) showed that in MMF subgroup, the sCr level was significantly lower than in routine CNI regimen group (Z = 6.76, P<0.00001; I2 = 82%). And in sirolimus subgroup, there was a significant decrease of sCr level compared to routine CNI regimen group (Z = 7.91, P<0.00001; I2 = 56%). And in everolimus subgroup, the sCr level was also significantly decreased (Z = 2.68, P = 0.007; I2 not applicable). Totally, in the included observational studies, the sCr level was significantly decreased in CNI minimization group (Z = 6.63, P<0.00001; I2 = 91%).
Figure 3

Meta-analysis of CNI minimization versus routine CNI regimen in sCr (RCTs).

In MMF subgroup, the sCr level was significantly lower than in routine CNI regimen group. In sirolimus subgroup, the decrease of sCr level was not statistically significant. In the total 10 RCTs, the sCr level was significantly decreased in CNI minimization group. Z = total effect size, I2 = heterogeneity index. Columns in green represent the mean difference of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI.

Meta-analysis of CNI minimization versus routine CNI regimen in sCr (RCTs).

In MMF subgroup, the sCr level was significantly lower than in routine CNI regimen group. In sirolimus subgroup, the decrease of sCr level was not statistically significant. In the total 10 RCTs, the sCr level was significantly decreased in CNI minimization group. Z = total effect size, I2 = heterogeneity index. Columns in green represent the mean difference of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI. Finally, we conducted a meta-analysis of CrCl of patients receiving CNI minimization (including MMF, sirolimus and everolimus subgroups) versus routine CNI regimen, which was shown in Figure 4. The forest plot graph of the comparison showed that in MMF subgroup, the improvement of CrCl over routine CNI regimen group was not statistically significant (Z = 1.23, P = 0.22; I2 = 0%). And in sirolimus subgroup, once again, we could not document a significant improvement of CrCl (Z = 1.73, P = 0.08; I2 = 0%), neither did we in everolimus subgroup (Z = 0.61, P = 0.54; I2 not applicable). In total, in the included RCTs, CrCl was not significantly improved in CNI minimization group over routine CNI regimen group (Z = 1.59, P = 0.11; I2 = 0%). In contrast, a meta-analysis of the included observational trials regarding CrCl (Figure S3) showed that in MMF subgroup, CrCl was significantly higher than in routine CNI regimen group (Z = 3.69, P = 0.0002; I2 = 80%). While in everolimus subgroup, improvement of CrCl over routine CNI regimen group was not significant (Z = 1.88, P = 0.06; I2 not applicable). Totally, in the included observational studies, CrCl was significantly improved in CNI minimization group (Z = 4.02, P<0.0001; I2 = 75%).
Figure 4

Meta-analysis of CNI minimization versus routine CNI regimen in CrCl (RCTs).

In MMF, sirolimus and everolimus subgroup, the improvement of CrCl over routine CNI regimen group was not statistically significant, as well as in the total 10 RCTs. Z = total effect size, I2 = heterogeneity index. Columns in green represent the mean difference of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI.

Meta-analysis of CNI minimization versus routine CNI regimen in CrCl (RCTs).

In MMF, sirolimus and everolimus subgroup, the improvement of CrCl over routine CNI regimen group was not statistically significant, as well as in the total 10 RCTs. Z = total effect size, I2 = heterogeneity index. Columns in green represent the mean difference of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI.

CNI minimization does not compromise short term acute rejection and patient survival, but increases infection rates

To evaluate the safety of CNI minimization protocols, we then compared acute rejection episodes, incidence of infections and patient survival between CNI minimization and routine CNI regimen group. For the meta-analysis of CNI minimization versus routine CNI regimen in acute rejection, there was no significant difference between two groups in all subgroups and total analysis (MMF subgroup: Z = 0.14, P = 0.89; I2 = 28%; sirolimus subgroup: Z = 0.28, P = 0.78; I2 = 21%; everolimus subgroup: Z = 0.01, P = 0.99; I2 not applicable; and total: Z = 0.01, P = 0.99; I2 = 0%) (shown in Figure 5).
Figure 5

Meta-analysis of CNI minimization versus routine CNI regimen in acute rejection (RCTs).

There was no significant difference between CNI minimization and routine CNI regimen group in all subgroup and total analysis. Z = total effect size, I2 = heterogeneity index. Columns in blue represent the odds ratio of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI.

Meta-analysis of CNI minimization versus routine CNI regimen in acute rejection (RCTs).

There was no significant difference between CNI minimization and routine CNI regimen group in all subgroup and total analysis. Z = total effect size, I2 = heterogeneity index. Columns in blue represent the odds ratio of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI. We also conducted a meta-analysis of the incidence of various infections between two groups (shown in Figure 6). The difference of incidence of infections between MMF/everolimus subgroup and routine CNI regimen group was comparable (Z = 1.96, P = 0.05; I2 = 0%; Z = 1.36, P = 0.18; I2 not applicable). While in sirolimus subgroup, the infection incidence was significantly higher than in routine CNI regimen group (Z = 2.02, P = 0.04; I2 = 0%). In total, the infection incidence was significantly higher in CNI minimization group (Z = 3.06, P = 0.002; I2 = 0%).
Figure 6

Meta-analysis of CNI minimization versus routine CNI regimen in infection incidence (RCTs).

In MMF and everolimus subgroup, the difference of infection incidence was not statistically significant. In sirolimus subgroup, the infection incidence was significantly higher than in routine CNI regimen group. In total, the infection incidence was significantly higher in CNI minimization group. Z = total effect size, I2 = heterogeneity index. Columns in blue represent the odds ratio of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI.

Meta-analysis of CNI minimization versus routine CNI regimen in infection incidence (RCTs).

In MMF and everolimus subgroup, the difference of infection incidence was not statistically significant. In sirolimus subgroup, the infection incidence was significantly higher than in routine CNI regimen group. In total, the infection incidence was significantly higher in CNI minimization group. Z = total effect size, I2 = heterogeneity index. Columns in blue represent the odds ratio of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI. For the meta-analysis of patient survival at the end of the follow-up, there was no significant difference between CNI minimization and routine CNI regimen group in all subgroups and in total (MMF subgroup: Z = 0.42, P = 0.67; I2 = 0%; sirolimus subgroup: Z = 0.59, P = 0.56; I2 not applicable; everolimus subgroup: Z = 0.47, P = 0.64; I2 not applicable; and total: Z = 0.28, P = 0.78; I2 = 0%) (shown in Figure 7).
Figure 7

Meta-analysis of CNI minimization versus routine CNI regimen in patient survival (RCTs).

There was no significant difference between CNI minimization and routine CNI regimen group in all subgroup and total analysis. Z = total effect size, I2 = heterogeneity index. Columns in blue represent the odds ratio of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI.

Meta-analysis of CNI minimization versus routine CNI regimen in patient survival (RCTs).

There was no significant difference between CNI minimization and routine CNI regimen group in all subgroup and total analysis. Z = total effect size, I2 = heterogeneity index. Columns in blue represent the odds ratio of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI.

Discussion

CNI provide potent immunosuppression for solid organ transplant patients, however, simultaneously exhibit nephrotoxicity as a major side effect. CNI cause both acute (functional) nephrotoxicity and chronic (structural) nephrotoxicity. Whereas acute nephrotoxicity is reversible by withdrawal of the CNI, chronic nephrotoxicity due to CNIs is thought to be irreversible and even progressive [44]. Withdrawal of CNI during early stages of renal dysfunction results in improvement of renal function when pathologic changes are still reversible [11]–[13]. The principle of CNI minimization protocols is to reduce CNI exposure, by converting CNI to non-nephrotoxic immunosuppressive drugs with or without low dose CNI. MMF, and mammalian target of rapamycin (mTOR) inhibitors (mTORis), namely SRL and ERL, are the commonest options in CNI minimization protocols for their non-nephrotoxicity and potent immunosuppression effects [14]–[23]. In the current meta-analysis (32 controlled studies included with a total of 1383 patients), both GFR and sCr comparison presented a significant improvement of renal function in CNI minimization group in both RCTs and observational studies analysis. Although there was significant improvement of CrCl in CNI minimization over routine CNI regimen in observational studies, we could not document such improvement in RCTs analysis. According to the National Kidney Foundation recommendation, GFR is the best estimate of kidney function and is used in the NKF staging of CKD, thus it is rational to conclude that CNI minimization is capable to restore renal function of liver transplant patients with CNI-related renal impairment. To explore whether CNI reduction is safe in liver transplant recipients, we performed a meta-analysis of acute rejection episodes, infection rates and patient survival. There was no significant difference in acute rejection episodes between CNI minimization and routine CNI regimen, suggesting the immunosuppression effect was not compromised in patients taking on CNI minimization. However, the incidence of infections is higher in CNI minimization group than in routine CNI group, although most studies did not provide the exact incidence of specific infections, suggesting increased immune load by CNI minimization protocols when introducing MMF or mTORis. On the other hand, there was no significant difference in patient survival between two groups, which can be interpreted in three ways. Firstly, the follow-up durations of these studies are not long enough to show any change of the survival rate. Secondary, the improvement in renal function is not sufficient enough to alter patient survival [45]. Finally, the renal benefit may be counteracted by the increased infection risks. Therefore, whether the improved renal function can be translated into a better survival and whether long term use of CNI minimization protocols would lead to a higher acute rejection or infection rate still need further study. Notably, the CNI minimization protocols in the included studies are heterogenous. Since the additional drugs and different combinations can alter the outcomes, we divided them into 3 subgroups, namely MMF-based, SRL-based and ERL-based subgroups. In both meta-analysis of RCTs and observational trials, the MMF-based regimen presents an obvious benefit on renal function protection. It has been reported that replacement of CNI by MMF in liver transplant patients with renal dysfunction can also improve other CNI associated side-effects, such as hypertension and hyperuricemia [46]. Concern about this CNI minimization protocol is from the fact that there are conflicting results regarding the risk of allograft rejection with withdrawal of CNI and subsequent MMF monotherapy [14], [29], [47]–[50]. However, in the current meta-analysis, MMF-based CNI minimization protocol is not associated with higher rejection and infection rates. One of the major reasons explaining the discrepancy of rejection rate between the previous reports and current analysis is that most recent protocols are combination of MMF and low-dose CNI but not MMF monotherapy. Collectively, we recommend that MMF can serve as a good option to reduce CNI exposure in liver transplant recipients with renal dysfunction, without increasing rejection and infection rates. In addition, mTORis are potent anti-proliferative agents that have clear therapeutic potential in liver transplantation [51]–[55]. However, only 4 SRL-based RCTs were included in this meta-analysis, and no significant improvement of renal function was documented, neither did the ERL-based RCTs. But in the meta-analysis of observational trials, SRL-based regimen yielded a significant improvement of renal function as shown in GFR and sCr, in spite of relatively high heterogeneities. Both SRL-based and ERL-based regimens are equally potent and safe as routine CNI regimen in immunosuppression according to our meta-analysis. Moreover, in non-renal dysfunction population, SRL, either used in combination with prednisone alone or MMF-prednisone in CNI-withdrawal protocols, resulted in improved renal function and acceptable acute rejection rate, although with increased rates of thrombocytopenia, digestive hemorrhage, pleural effusion and other adverse events [56]. In terms of ERL, Simone et al recently reported that ERL, in combination with low-dose CNI, was associated with low acute rejection rate and particularly good renal function [15]. However, in another study, the use of combination CsA and mTORis leaded to potential long-term CNI nephrotoxicity [57]. Since the number of SRL-based and ERL-based RCTs included in this meta-analysis is small, more high-quality RCTs based on SRL and ERL should be conducted to draw a clear conclusion on whether mTORis-based CNI minimization protocols are effective and safe in patients with impaired renal function. However, according to the results from the meta-analysis of observational trials and considering their well known anti-tumor effects [58]–[60], mTORis may be a good alternative for MMF to reduce or replace CNI in liver transplant recipients with a pre-transplant diagnosis of hepatocellular carcinoma (HCC) and post-transplant renal dysfunction. However, clinicians should pay attention to the increased risks of infections when SRL is used. Undoubtedly, there are some limitations in the current meta-analysis as others. Firstly, we included studies using different regimens without comparing between themselves, it make us difficult to figure out which combination is the best one although the current data show that the MMF-based CNI minimization protocol received the greatest supports. Secondly, most of the studies we included didn't undertake follow-ups longer than 12 months, giving us insufficient data on how CNI minimization would affect long-term graft or patient survival. Finally, as shown in Table 2, the risk of bias of the included randomized trials was relatively high, since no study was double blind designed and only 3 of 10 studies conducted intention-to-treat analysis, which may attenuate the power of the current study. In conclusion, this meta-analysis included all current relevant studies from various countries covering different populations. It can make up to the shortage of small sample size and limited population of individual studies, providing stronger evidence on the clinical application of CNI minimization protocols. It is convincing that CNI minimization can improve renal function in liver transplant patients with CNI-related renal impairment, while has an equal or similar effect on acute rejection and patient survival as routine CNI regimen. However, it should be cautious to use SRL-based minimization regimens in patients with high risks of infections. Studies in the future should try to figure out whether this improved renal function can prolong long-term patient or graft survival, and which minimization protocol is the standard one in various combinations. Meta-analysis of CNI minimization versus routine CNI regimen in GFR (observational trials). In MMF and sirolimus subgroups, GFR was significantly higher than in the routine CNI regimen group, so was in the total analysis. Z = total effect size, I2 = heterogeneity index. Columns in green represent the mean difference of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI. (TIF) Click here for additional data file. Meta-analysis of CNI minimization versus routine CNI regimen in sCr (observational trials). In MMF, sirolimus and everolimus subgroups, the SCr was significantly decreased in CNI minimization group, so was in the total analysis. Z = total effect size, I2 = heterogeneity index. Columns in green represent the mean difference of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI. (TIF) Click here for additional data file. Meta-analysis of CNI minimization versus routine CNI regimen in CrCl (observational trials). In MMF subgroup, CrCl was significantly higher in the CNI minimization group than in the routine CNI regimen group. In everolimus subgroup, improvement of CrCl over routine CNI regimen group was not statistically significant. In the total analysis, the CrCl was significantly improved in CNI minimization group. Z = total effect size, I2 = heterogeneity index. Columns in green represent the mean difference of each study and column size represents the study weight in the analysis. Lanes represent the 95% CI of each study. Diamonds in black represent the overall effect size and diamond width represents the overall 95% CI. (TIF) Click here for additional data file.
  57 in total

1.  Switch to 1.5 grams MMF monotherapy for CNI-related toxicity in liver transplantation is safe and improves renal function, dyslipidemia, and hypertension.

Authors:  Giuseppe Orlando; Leonardo Baiocchi; Andrea Cardillo; Giuseppe Iaria; Nicola De Liguori Carino; Nicola De Liguori; Linda De Luca; Benedetto Ielpo; Laura Tariciotti; Mario Angelico; Giuseppe Tisone
Journal:  Liver Transpl       Date:  2007-01       Impact factor: 5.799

2.  Mycophenolate mofetil promotes prolonged improvement of renal dysfunction after pediatric liver transplantation: experience of a single center.

Authors:  Uenis Tannuri; Nelson E M Gibelli; João G Maksoud-Filho; Maria M Santos; Maria Lucia Pinho-Apezzato; Manoel Carlos P Velhote; Ali A R Ayoub; Marcos M Silva; João G Maksoud
Journal:  Pediatr Transplant       Date:  2007-02

3.  Sirolimus-based immunosuppressive therapy in liver transplant recipient with tacrolimus-related chronic renal insufficiency.

Authors:  Y J Yang; D Z Chen; L X Li; J T Kou; R Lang; Z K Jin; D D Han; Q He
Journal:  Transplant Proc       Date:  2008-06       Impact factor: 1.066

4.  Conversion to sirolimus-based immunosuppression in maintenance liver transplantation patients.

Authors:  Isabelle Morard; Jérôme Dumortier; Laurent Spahr; Antoine Hadengue; Pietro Majno; Philippe Morel; Gilles Mentha; Emiliano Giostra
Journal:  Liver Transpl       Date:  2007-05       Impact factor: 5.799

5.  Mycophenolate mofetil monotherapy for severe side effects of calcineurin inhibitors following liver transplantation.

Authors:  S Dharancy; A Iannelli; A Hulin; N Declerck; A S Schneck; P Mathurin; E Boleslawski; J Gugenheim; F R Pruvot
Journal:  Am J Transplant       Date:  2009-03       Impact factor: 8.086

6.  Clinical trial: switch to combined mycophenolate mofetil and minimal dose calcineurin inhibitor in stable liver transplant patients--assessment of renal and allograft function, cardiovascular risk factors and immune monitoring.

Authors:  V R Cicinnati; Z Yu; C G Klein; G C Sotiropoulos; F Saner; M Malagó; A Frilling; G Gerken; C E Broelsch; S Beckebaum
Journal:  Aliment Pharmacol Ther       Date:  2007-11-01       Impact factor: 8.171

7.  Liver transplantation for hepatocellular carcinoma under calcineurin inhibitors: reassessment of risk factors for tumor recurrence.

Authors:  Marco Vivarelli; Alessandro Cucchetti; Giuliano La Barba; Matteo Ravaioli; Massimo Del Gaudio; Augusto Lauro; Gian Luca Grazi; Antonio Daniele Pinna
Journal:  Ann Surg       Date:  2008-11       Impact factor: 12.969

8.  Efficacy and safety of mycophenolate mofetil monotherapy in liver transplant patients with renal failure induced by calcineurin inhibitors.

Authors:  L Barrera Pulido; J M Alamo Martínez; F Pareja Ciuró; M A Gómez Bravo; J Serrano Díez-Canedo; C Bernal Bellido; G Suárez Artacho; I García González; J M Pascasio Acevedo; A Bernardos Rodríguez
Journal:  Transplant Proc       Date:  2008-11       Impact factor: 1.066

9.  A randomized controlled trial of late conversion from calcineurin inhibitor (CNI)-based to sirolimus-based immunosuppression in liver transplant recipients with impaired renal function.

Authors:  Christopher J E Watson; Alexander E S Gimson; Graeme J Alexander; Michael E D Allison; Paul Gibbs; Jane C Smith; Christopher R Palmer; J Andrew Bradley
Journal:  Liver Transpl       Date:  2007-12       Impact factor: 5.799

10.  Long-term effects of calcineurin inhibitor conversion to mycophenolate mofetil on renal function after liver transplantation.

Authors:  Caroline Créput; Frederique Blandin; Benjamin Deroure; Bruno Roche; Faouzi Saliba; Bernard Charpentier; Didier Samuel; Antoine Durrbach
Journal:  Liver Transpl       Date:  2007-07       Impact factor: 5.799

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  6 in total

Review 1.  Hepatitis C virus reinfection after liver transplant: New chances and new challenges in the era of direct-acting antiviral agents.

Authors:  Kerstin Herzer; Guido Gerken
Journal:  World J Hepatol       Date:  2015-03-27

2.  Key role of renal biopsy in management of progressive chronic kidney disease in liver graft recipients.

Authors:  Martin-Walter Welker; Nina Weiler; Wolf Otto Bechstein; Eva Herrmann; Christoph Betz; Mark Schöffauer; Stefan Zeuzem; Christoph Sarrazin; Kerstin Amann; Oliver Jung
Journal:  J Nephrol       Date:  2018-06-26       Impact factor: 3.902

Review 3.  Efficacy and Safety of Tacrolimus Therapy for Active Ulcerative Colitis; A Systematic Review and Meta-analysis.

Authors:  Yuga Komaki; Fukiko Komaki; Akio Ido; Atsushi Sakuraba
Journal:  J Crohns Colitis       Date:  2015-12-08       Impact factor: 9.071

4.  An analysis of tacrolimus-related complications in the first 30 days after liver transplantation.

Authors:  Lucas Souto Nacif; André Ibrahim David; Rafael Soares Pinheiro; Marcio Augusto Diniz; Wellington Andraus; Ruy Jorge Cruz; Luiz A Carneiro D'Albuquerque
Journal:  Clinics (Sao Paulo)       Date:  2014-11       Impact factor: 2.365

Review 5.  New-Onset Diabetes Mellitus (NODM) After Liver Transplantation (LT): The Ultimate Non-diabetogenic Immunosuppressive Therapy.

Authors:  Ali R Chaitou; Surbhi Valmiki; Mrinaal Valmiki; Maria Zahid; Mohamed A Aid; Peter Fawzy; Safeera Khan
Journal:  Cureus       Date:  2022-03-29

6.  Intraoperative risk factors of acute kidney injury after liver transplantation.

Authors:  Rachel J Berkowitz; Milo C Engoren; Graciela Mentz; Pratima Sharma; Sathish S Kumar; Ryan Davis; Sachin Kheterpal; Christopher J Sonnenday; Nicholas J Douville
Journal:  Liver Transpl       Date:  2022-04-25       Impact factor: 6.112

  6 in total

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