Literature DB >> 24765218

Role of steroid minimization in the tacrolimus-based immunosuppressive regimen for liver transplant recipients: a systematic review and meta-analysis of prospective randomized controlled trials.

Jinyang Gu1, Xingyu Wu1, Lei Lu2, Shu Zhang3, Jianling Bai4, Jun Wang5, Jun Li6, Yitao Ding1.   

Abstract

To evaluate the efficacy and safety of early steroid withdrawal or steroid avoidance in the tacrolimus (Tac)-based immunosuppressive regimen for liver transplant recipients. According to the requirements of the Cochrane systematic review, a thorough literature search was performed in the PubMed/MEDLINE and Cochrane electronic databases between 1995 and 2011 using the key words "liver transplantation," "Tac," and "steroid free" or "steroid withdrawal," restricting articles to the English language. Data were processed for a meta-analysis by Stata 12 software. Altogether 17 prospective randomized controlled trials containing 1,980 transplanted patients were included in this study. The overall pooled RR estimates of 1-, 2-, 3-, and 5-year patient and graft survival rates were 0.985, 0.998, 0.995, and 1.100 (95 % CI 0.925-1.048, 0.934-1.067, 0.894-1.107, and 0.968-1.250, respectively), as well as 0.998, 0.993, 0.945, and 1.053, respectively (95 % CI 0.928-1.072, 0.902-1.092, 0.833-1.072, and 0.849-1.307, respectively). The other pooled RR estimates of acute rejection and chronic rejection rates for all enrolled studies were 1.077 and 0.311 (95 % CI 0.864-1.343 and 0.003-37.207). As for secondary predictors, the pooled RR estimates such as HCV recurrence, HCC recurrence, diabetes, hypertension, kidney dysfunction, bacterial infection, and CMV were 1.101, 1.403, 1.836, 1.607, 0.842, 1.096, and 2.280, respectively (95 % CI 0.964-1.257, 0.422-4.688, 1.294-2.606, 0.926-1.228, 0.693-1.022, 0.783-1.533, and 1.500-3.465, respectively). There were no differences between the steroid group and steroid-free group for all clinical observational indices except for the incidence of diabetes (p = 0.001) and CMV infection (p < 0.001). In summary, our study indicate that rapid discontinuation of steroid in the Tac-based immunosuppressive regimen may not lead to an increased risk of morbidity and rejection rate.

Entities:  

Keywords:  Liver transplantation; Meta-analysis; Randomized controlled trial; Steroid minimization; Systematic review; Tacrolimus

Year:  2014        PMID: 24765218      PMCID: PMC3990862          DOI: 10.1007/s12072-014-9523-y

Source DB:  PubMed          Journal:  Hepatol Int        ISSN: 1936-0533            Impact factor:   6.047


Background

Orthotopic liver transplantation (OLT) has been recognized as a well-established therapeutic option for a subset of patients with benign end-stage liver diseases as well as early stage hepatocellular carcinoma (HCC), achieving a favorable long-term survival rate in many liver transplant centers in recent years [1]. It must be admitted that the success of OLT is owed to the pioneers developing the surgical procedures and to the researchers discovering the available medications related to allograft rejection prevention [2]. Although liver allograft is generally considered immunologically privileged, and hyperacute rejection is rarely observed, the substantial short- and long-term morbidity associated with acute and chronic rejection have still set off a wave of investigators seeking a safe and effective immunosuppressive regimen for liver transplant recipients [3, 4]. Steroids have long been recognized as part of the immunosuppressive regimen for induction and maintenance since the advent of clinical OLT [5]. Boluses of high-dose steroids are routinely administered during and after the operation for the control of acute cellular rejection in many liver transplant centers. However, prolonged use of steroids is associated with multiple severe side effects including hypertension, hyperlipidemia, obesity, diabetes mellitus, osteoporosis, infectious complications, and particularly growth retardation in children [6]. In addition, hepatitis C virus (HCV) and tumor recurrence upon OLT should also be taken into consideration when patients are exposed to high-dose long-term steroids [7-10]. In such circumstances, Pirenne et al. reported the long-term (median = 40 months) follow-up data of a prospective study designed to determine whether OLT could be performed with no steroids at all. This prospective single-center pilot study showed that OLT without steroids is feasible and yields no penalty in terms of acute and chronic rejection, immune graft loss, graft function, patient and graft survival [11]. An experience from Germany with about 30 adult liver graft recipients subjected to dual maintenance immunosuppression consisting of tacrolimus (Tac) and mycophenolate mofetil (MMF) without prophylactic steroids revealed that patient and graft survival at 2 years was 86.7 and 83.9 %, respectively [12]. All rejections were completely reversible by temporary addition of steroids. Therefore, the authors speculated that double drug immunosuppression with Tac and MMF is effective and safe in terms of patient and graft survival as well as incidence and severity of rejection [12]. In addition, close drug monitoring is advised after OLT in order to avoid under- or over-immunosuppression, which may be caused by impaired absorption or metabolism [12]. Thus, minimization of steroid usage including steroid-sparing or steroid-free immunosuppressive regimens seems to be the pursued goal for all liver transplant experts to achieve better outcomes [13-16]. However, several pilot studies and a few randomized trials have explored this possibility with mixed results. Reggiani et al. [17] performed a single-center, randomized, 1:1, open-label, controlled study and speculated that a primary immunosuppressive regimen based on Tac and low-dose MMF without steroids is safe but unable to prevent acute rejection at 1 week after transplantation even if early acute rejection does not affect the outcome in terms of morbidity and graft or patient survival. Foroncewicz et al. [18] in Poland conducted a 6-year, single-center, retrospective study including 25 liver transplant recipients. Though results indicated that a steroid-free regimen of Tac is as effective as Tac/steroid in achieving good patient and graft survival, no substantial benefits concerning the safety of Tac therapy were evident during long-term follow-up [18]. More recently, considering the potential detrimental effect on renal functions resulting from the usage of high-dose Tac instead of steroid, some induction agents for specific immunological tolerance including polyclonal rabbit antithymocyte globulin (RATG) and IL-2 receptor monoclonal antibody (basiliximab or daclizumab) have been suggested in triple or quadruple immunosuppressive protocols during OLT, which could minimize the use of Tac and limit renal toxicity [19-21]. To date, there is no consensus about the role of steroid minimization in the Tac-based immunosuppressive regimen for liver transplant recipients. The purpose of our study was to conduct a systematic review and meta-analysis of the published prospective randomized controlled trials since 1995 concerning the efficacy and safety of steroid elimination in a Tac-based immunosuppressive regimen for OLT patients.

Methods

This is a systematic review including a meta-analysis, which was performed according to the preferred reporting items for the systematic reviews and meta-analyses (PRISMA) statement [22] and the Cochrane Handbook for Systematic Reviews of Interventions [23].

Search strategy and selection criteria

Two authors (Jinyang Gu and Jun Li) independently searched the databases PubMed/MEDLINE and Cochrane Central Register for all levels of evidence from medical research articles published in print or electronically in English from 1995 to 2011. A global literature search was undertaken by combinations of the following search terms: “liver transplantation,” “Tac,” and “steroid free” or “steroid withdrawal” for the purpose of the role of steroid minimization in the Tac-based immunosuppressive regimen for liver transplant recipients. The detailed inclusion criteria of trials were as follows: (1) to assure the quality of analysis, only randomized controlled trials were included in the study; (2) comparisons of outcomes were made between a Tac-based immunosuppressive regimen with (lasting time more than 3 months) or without steroid (lasting time within 3 months) for OLT; (3) if multiple publications reported estimates based on the same study population, the largest or most recent sample was used; (4) studies must have reported patient or graft survival rates, acute or chronic rejection prevalence, as well as complication incidence in relation to steroid usage; and (5) our search included only those original articles published in English.

Data extraction and outcome measures

Two investigators (Jinyang Gu and Jun Li) independently determined the eligibility of each publication for the systematic review and meta-analysis by filling in a Microsoft Excel spreadsheet and evaluating study quality, with disagreements resolved by a third reviewer (Jun Wang). Extracted data included general information (first author, year of publication, study center, and sample size), demographics of participants (gender ratio, mean age, concomitant disease, and MELD score), characteristics of clinical interventions (etiology distribution and immunosuppressive regimen), primary endpoints (survival rates and rejection rates), and secondary endpoints (complication incidences related to steroid usage) from the texts, tables, and graphs of published eligible trial reports. Pooled outcome measures for OLT in a Tac-based immunosuppressive regimen with or without steroid involved patient and graft survival rates at 1, 3, and 5 years, incidence of acute and chronic rejection, incidence of recurrent hepatitis C or HCC, rates of infectious complications, post-OLT metabolic disease occurrence, as well as kidney dysfunction.

Quality assessment

Two authors (Jinyang Gu and Jun Wang) independently assessed the methodological quality of the included trials using the quality checklist recommended by the Cochrane Handbook [24]. The following domains on the risk of bias were assessed: randomization, patients blinded, concealment of treatment allocation, intention-to-treat analysis, and incomplete outcome. We resolved all disagreements by discussion and referral to a third author (Jun Li) for adjudication.

Data synthesis and analysis

We processed data in accordance with the Cochrane Handbook for Systematic Reviews of Interventions [23]. Funnel plots and Egger’s tests were created using standard techniques for detecting publication bias. For randomized controlled trials, outcome data were pooled using a random effect model weighted by the inverse variance. The meta-analyses results of continuous variables were expressed as mean differences and as risk ratios (RR) for binary outcomes with 95 % CI. Meta-analyses of the binary variables were conducted on the log-odds ratios to satisfy the assumption of normality of effect sizes. Statistical analyses were performed using STATA 12. Instead, we undertook specific stratified meta-analyses to examine the sensitivity of the findings of the review to key potential causes of heterogeneity.

Publication bias

We assessed the potential for publication bias through visual inspection of funnel plot asymmetry and evaluated the statistical significance of differences among the including trials with Begg’s test.

Results

Literature search results

The electronic database searches yielded a total of 252 citations comprising 151 publications in PubMed and 101 in the Cochrane Central Register between 1995 and 2011. We identified 55 potentially relevant studies that were retrieved and reviewed by titles and abstracts, 25 of which were further excluded because of the absence of a control group or lack of a detailed outcome index. Of the 30 possible studies meeting our inclusion criteria, 13 duplicate papers derived from the same clinical centers were excluded from our present study, and we finally included 17 eligible full-text articles with the largest population and distinct observational index in this meta-analysis, which were further divided into two sections consisting of studies with comparison of Tac-based immunosuppressive regimens with steroids or not, as well as with induction agents or not. The flow chart of the search and selection is illustrated in Fig. 1.
Fig. 1

Diagram of the literature search and selection process. A total of 252 citations comprising 151 publications in PubMed and 101 in the Cochrane Central Register were yielded between 1995 and 2011. We identified 55 potentially relevant studies that were retrieved and reviewed by titles and abstracts, 25 of which were further excluded because of the absence of a control group or lack of a detailed outcome index. Of the 30 possible studies meeting our inclusion criteria, 13 duplicate papers deriving from the same clinical centers were excluded, and finally 17 eligible full-text articles were included with the largest population and distinct observational index in this meta-analysis, which were further divided into two sections consisting of studies with comparison of Tac-based immunosuppressive regimens with steroids or not, as well as with induction agents or not

Diagram of the literature search and selection process. A total of 252 citations comprising 151 publications in PubMed and 101 in the Cochrane Central Register were yielded between 1995 and 2011. We identified 55 potentially relevant studies that were retrieved and reviewed by titles and abstracts, 25 of which were further excluded because of the absence of a control group or lack of a detailed outcome index. Of the 30 possible studies meeting our inclusion criteria, 13 duplicate papers deriving from the same clinical centers were excluded, and finally 17 eligible full-text articles were included with the largest population and distinct observational index in this meta-analysis, which were further divided into two sections consisting of studies with comparison of Tac-based immunosuppressive regimens with steroids or not, as well as with induction agents or not

Characteristics of included studies

Study and patient characteristics are summarized in Tables 1 and 2. Overall, the 17 randomized, controlled trials enrolled a total of 1,980 participants with a mean age of 44.4 years, of which approximately 65 % were male. Five studies were based in the USA [26, 32, 35, 36, 38], three in Germany [25, 28, 31], three in Italy [17, 29, 34], and one each in Spain [27], China [9], UK [30], France [33], Belgium [37], and Poland [18]. The 17 prospective randomized controlled studies enrolled patients with distinct primary diseases eligible for OLT such as hepatitis B virus (HBV) [18, 27, 31–33], HCV infection [18, 25–27, 30–33, 35, 36, 38], HCC [9, 17, 26, 27, 30, 31, 33, 37], primary sclerosing cholangitis (PSC) or primary biliary cirrhosis (PBC) [17, 18, 31, 32], alcoholic cirrhosis [17, 18, 26, 27, 31], and autoimmune hepatitis (AIH) [28, 32]. A proportion of selected studies (6/17) described concomitant diseases such as diabetes [27, 29–31, 33], hypertension [27, 31], cytomegalovirus (CMV) infection [33, 34], Epstein-Barr virus (EBV) infection [33, 34], and metabolic disease [31, 33, 34, 37]. Of these 17 studies, all but 2 publications [28, 30] reported intraoperative steroid usage to avoid hyperacute rejection. As far as postoperative steroid duration was concerned, it was totally different among liver transplantation centers ranging from 3 to 72 months for the control group (steroid group) and <3 months for the experimental group (steroid-free group). The remnant observational index including time of Tac and MMF duration, and Tac blood level is displayed in detail in Table 2. The overall 17 prospective randomized controlled trials were then divided into two parts in terms of whether steroid was employed upon OLT or not (Sect. I), as well as whether induction agents were employed during OLT (Sect. II), which was further analyzed for all 17 trials and for each section, respectively. Tables 3 and 4 display a summary of outcomes including survival rates and complication incidence.
Table 1

Patient demographics and baseline characteristics of 17 enrolled RCTs in this meta-analysis

First authorYearStudy centerGroupNo of patients (n)Gender (M/F)Mean age (year)Concomitant disease (n)MELD score
DiabetesHypertensionCMVEBVMetabolic disease
Comparison of Tac-based regimen with steroid or not (Sect. I)
 Langrehr [25]2002University of Berlin, GermanyTac + steroid15
Tac + MMF15
 Pelletier [26]2005University of Michigan, USATac + MMF + steroid3628/853.018.0
Tac + MMF3625/1155.017.0
 Margarit [27]2005Universidad Autònoma Barcelona, SpainTac + steroid3225/756.056
Tac2818/1057.063
 Reggiani [17]2005Instituto di Ricovero e Cura a Caraterre Scientifico (IRCCS) Policlinico San Matteo, ItalyTac + MMF + steroid1813/550.4
Tac + MMF128/449.7
 Junge [28]2005Charité Berlin Campus Virchow Klinikum, GermanyTac + steroid14
Tac + MMF16
 Chen [9]2007Tongji Medical College, ChinaTac + MMF + steroid260/2647.4
Tac + MMF281/2745.7
 Vivarelli [29]2007University of Bologna, ItalyTac + steroid1658.9516.0
Tac2357.2715.0
 Manousou [30]2009University College London, UKAzathioprine + steroid + Tac4950.013
Tac5448.913
 Weiler [31]2010Hospital of Johannes Gutenberg University Mainz, GermanyTac + steroid5436/1853.510100
Tac5638/1853.61162
Comparison of Tac-based regimen with induction agents or not (Sect. II)
 Eason [32]2003Ochsner Clinic Foundation, New Orleans, USATac + MMF + steroid59
RATG + Tac + MMF60
 Boillot [33]2005Hospital Edouard Herriot, FranceTac + steroid347238/10951.0552482372
Daclizumab + Tac351239/11250.9572402367
 Spada [34]2006University of Pittsburgh Medical Center, ItalyTac + steroid3615/212.820113
Basiliximab + Tac3618/182.919122
 Humar [35]2007University of Minnesota Minneapolis, USATac + MMF + steroid8351.823.0
Basiliximab + Tac + MMF8352.328.0
 Kato [36]2007University of Miami School of Medicine, USATac/MMF + steroid3929/1050.216.5
Daclizumab + Tac/MMF3121/1052.414.6
 Gras [37]2008Luc University Clinics, Université Catholique de Louvain, BelgiumTac + steroid3416/182.04
Basiliximab + Tac5027/231.74
 Foroncewicz [18]2009Medical University of Warsaw, PolandTac + steroid1810/841.8
Daclizumab + Tac75/243.3
 Klintmalm [38]2011Baylor University Medical Center, USATac + MMF + steroid7254/1851.6
Daclizumab + Tac + MMF146105/4151.3

CMV cytomegalovirus, EBV Epstein-Barr virus, MELD model for end-stage liver disease, MMF mycophenolate mofetil, RATG rabbit antithymocyte globulin, Tac tacrolimus

Table 2

Main characteristics of clinical interventions in Tac-based immunosuppressive regimens during liver transplantation

First authorYearStudy centerGroupNo of patients (n)Etiology distribution (n)Intraoperative steroid usagePostoperative steroid durationTac durationMMF durationTac blood level (ng/mL)
HBVHCVHCCPSC/PBCAlcoholAIH7 day28 day90 day
Comparison of Tac-based regimen with steroid or not (Sect. I)
 Langrehr [25]2002University of Berlin, GermanyTac + steroid1515+14 m
Tac + MMF1515+One bolus
 Pelletier [26]2005University of Michigan, Ann Arbor, USATac + MMF + steroid3624813+6 m14.0 m14 m
Tac + MMF361461714.0 m14 m
 Margarit [27]2005Universidad Autònoma Barcelona, SpainTac + steroid322151111+3 m44.0 m12.013.010.0
Tac28320135+44.0 m12.514.010.5
 Reggiani [17]2005Instituto di Ricovero e Cura a Caraterre Scientifico (IRCCS) Policlinico San Matteo, ItalyTac + MMF + steroid181211+3 m31.0 m31 m11.012.0
Tac + MMF1220231.0 m31 m14.811.0
 Junge [28]2005Charité Berlin Campus Virchow Klinikum, GermanyTac + steroid14143 m24.0 m24 m
Tac + MMF161624.0 m24 m
 Chen [9]2007Tongji Medical College, ChinaTac + MMF + steroid2626+12 m12.0 m12 m
Tac + MMF2828+3 m12.0 m12 m
 Vivarelli [29]2007University of Bologna, ItalyTac + steroid16+24 m28.0 m11.211.58.0
Tac23+3 m28.0 m12.011.19.1
 Manousou [30]2009University College London, UKAzathioprine + steroid + Tac4949136 m53.5 m8.47.0
Tac54541753.5 m8.08.0
 Weiler [31]2010Hospital of Johannes Gutenberg University Mainz, GermanyTac + steroid5471619521+6 m60.0 m
Tac56121421316+2w60.0 m
Comparison of Tac-based regimen with induction agents or not (Sect. II)
 Eason [32]2003Ochsner Clinic Foundation, USATac + MMF + steroid5913463+3 m18.0 m3 m
RATG + Tac + MMF603313318.0 m3 m
 Boillot [33]2005Hospital Edouard Herriot, FranceTac + steroid3475510350+3 m3.0 m10.9
Daclizumab + Tac3516310653+3.0 m10.6
 Spada [34]2006University of Pittsburgh Medical Center, ItalyTac + steroid36+6 m24.0 m7.89.3
Basiliximab + Tac36+24.0 m9.97.5
 Humar [35]2007University of Minnesota Minneapolis, USATac + MMF + steroid8342+6 m32.0 m3 m
Basiliximab + Tac + MMF8344+6d16.1 m3 m
 Kato [36]2007University of Miami School of Medicine, USATac/MMF + steroid3939+3 m52.0 m12 m
Daclizumab + Tac/MMF313152.0 m12 m
 Gras [37]2008Luc University Clinics, Université Catholique de Louvain, BelgiumTac + steroid344+60 m60.0 m11.88.87.7
Basiliximab + Tac50860.0 m9.99.06.9
 Foroncewicz [18]2009Medical University of Warsaw, PolandTac + steroid182252+72 m72.0 m
Daclizumab + Tac70321+72.0 m
 Klintmalm [38]2011Baylor University Medical Center, USATac + MMF + steroid7272+20.9 m20.9 m20.9 m11.111.111.1
Daclizumab + Tac + MMF14614620.9 m20.9 m10.811.19.6

AIH autoimmune hepatitis, HBV hepatitis B virus, HCV hepatitis C virus, HCC hepatocellular carcinoma, MMF mycophenolate mofetil, PBC primary biliary cirrhosis, PSC primary sclerosing cholangitis, RATG rabbit antithymocyte globulin, Tac tacrolimus

Table 3

Summary of primary endpoints including survival rates and rejection rates in this study

First authorAverage follow-up periodFollow-up completeness (%)GroupNo. of patients (n)Patient survival (n)Graft survival (n)Acute rejection (n)Chronic rejection (n)
1 year2 year3 year5 year1 year2 year3 year5 year
Comparison of Tac-based regimen with steroid or not (Sect. I)
 Langrehr [25]425 days100Tac + steroid1514147
Tac + MMF1514144
 Pelletier [26]412 days100Tac + MMF + steroid3632325
Tac + MMF3630299
 Margarit al. [27]100Tac + steroid32272523241919100
Tac28242318242318110
 Reggiani al. [17]31 months100Tac + MMF + steroid1818153
Tac + MMF1211119
 Junge [28]67 months100Tac + steroid141361
Tac + MMF161660
 Chen [9]100Tac + MMF + steroid26123
Tac + MMF28184
 Vivarelli [29]841 days100Tac + steroid16124
Tac23182
 Manousou [30]53.5 months100Azathioprine + steroid + Tac494331
Tac544522
 Weiler [31]100Tac + steroid544846444344434239140
Tac5648444339474140361916
Comparison of Tac-based regimen with induction agents or not (Sect. II)
 Eason [32]18.5 months100Tac + MMF + steroid5950494718
RATG + Tac + MMF6051494915
 Boillot [33]100Tac + steroid34792
Daclizumab + Tac35189
 Spada [34]100Tac + steroid363333313111
Basiliximab + Tac36323229294
 Humar [35]24 months100Tac + MMF + steroid83676710
Basiliximab + Tac + MMF8373719
 Kato [36]100Tac/MMF + steroid39313117
Daclizumab + Tac/MMF31232110
 Gras [37]100Tac + steroid343130
Basiliximab + Tac504847
 Foroncewicz [18]6 years100Tac + steroid184
Daclizumab + Tac71
 Klintmalm [38]20.9 months100Tac + MMF + steroid7258577
Daclizumab + Tac + MMF14612612417

MMF mycophenolate mofetil, RATG rabbit antithymocyte globulin, Tac tacrolimus

Table 4

Summary of secondary endpoints including complication incidences related to steroid usage in this study

First authorYearStudy centerGroupNo. of patients (n)HCV recurrence (n)HCC recurrence (n)Diabetes (n)Hypertension (n)Kidney dysfunction (n)Bacterial infection (n)CMV (n)
Comparison of Tac-based regimen with induction agents or not (Sect. I)
 Langrehr [25]2002University of Berlin, GermanyTac + steroid1532
Tac + MMF1520
 Pelletier [26]2005University of Michigan, Ann Arbor, USATac + MMF + steroid361710
Tac + MMF361819
 Margarit [27]2005Universidad Autònoma Barcelona, SpainTac + steroid322006317303
Tac281112120260
 Reggiani [17]2005Instituto di Ricovero e Cura a Caraterre Scientifico (IRCCS) Policlinico San Matteo, ItalyTac + MMF + steroid185535
Tac + MMF122226
 Junge [28]2005Charité Berlin Campus Virchow Klinikum, GermanyTac + steroid146
Tac + MMF162
 Chen [9]2007Tongji Medical College, ChinaTac + MMF + steroid2618
Tac + MMF2811
 Vivarelli et al. [29]2007University of Bologna, ItalyTac + steroid16157
Tac23227
 Manousou [30]2009University College London, UKAzathioprine + steroid + Tac4910141910
Tac541715207
 Weiler [31]2010Hospital of Johannes Gutenberg University Mainz, GermanyTac + steroid5461231
Tac56101836
Comparison of Tac-based regimen with induction agents or not (Sect. II)
 Eason [32]2003Ochsner Clinic Foundation, USATac + MMF + steroid592481314
RATG + Tac + MMF60181153
 Boillot [33]2005Hospital Edouard Herriot, FranceTac + steroid3475350823940
Daclizumab + Tac3512045983918
 Spada [34]2006University of Pittsburgh Medical Center, ItalyTac + steroid3688130
Basiliximab + Tac3673414
 Humar [35]2007University of Minnesota Minneapolis, USATac + MMF + steroid8346271
Basiliximab + Tac + MMF8332101
 Kato [36]2007University of Miami School of Medicine, USATac/MMF + steroid396141712
Daclizumab + Tac/MMF3143102
 Gras [37]2008Luc University Clinics, Université Catholique de Louvain, BelgiumTac + steroid3434
Basiliximab + Tac5050
 Foroncewicz [18]2009Medical University of Warsaw, PolandTac + steroid18410
Daclizumab + Tac713
 Klintmalm [38]2011Baylor University Medical Center, USATac + MMF + steroid72552451
Daclizumab + Tac + MMF146992797

CMV cytomegalovirus, HBV hepatitis B virus, HCV hepatitis C virus, HCC hepatocellular carcinoma, MMF mycophenolate mofetil, RATG rabbit antithymocyte globulin, Tac tacrolimus

Patient demographics and baseline characteristics of 17 enrolled RCTs in this meta-analysis CMV cytomegalovirus, EBV Epstein-Barr virus, MELD model for end-stage liver disease, MMF mycophenolate mofetil, RATG rabbit antithymocyte globulin, Tac tacrolimus Main characteristics of clinical interventions in Tac-based immunosuppressive regimens during liver transplantation AIH autoimmune hepatitis, HBV hepatitis B virus, HCV hepatitis C virus, HCC hepatocellular carcinoma, MMF mycophenolate mofetil, PBC primary biliary cirrhosis, PSC primary sclerosing cholangitis, RATG rabbit antithymocyte globulin, Tac tacrolimus Summary of primary endpoints including survival rates and rejection rates in this study MMF mycophenolate mofetil, RATG rabbit antithymocyte globulin, Tac tacrolimus Summary of secondary endpoints including complication incidences related to steroid usage in this study CMV cytomegalovirus, HBV hepatitis B virus, HCV hepatitis C virus, HCC hepatocellular carcinoma, MMF mycophenolate mofetil, RATG rabbit antithymocyte globulin, Tac tacrolimus We evaluated the quality of each trial according to the Jadad scale. Five domains were assessed: randomization, patient blinding, concealment of treatment allocation, intention-to-treat analysis, and incomplete outcome (Supplementary Table 1). All included articles described their study design as prospective randomized controlled trials. Only 11.8 % (2/17) reported patient blinding and concealed allocation [30, 31], and 23.5 % (4/17) used intention-to-treat analysis [26, 30, 33, 38]. In addition, the overwhelming majority of publications lacked complete outcome data except for two [27, 31].

Primary predictors

Supplementary Table 2 summarizes the meta-analysis results of pooled primary outcomes for all 17 enrolled RCTs in this study. The overall 1-, 2-, 3-, and 5-year pooled RR estimates of patient survival rates and graft survival rates were 0.985 (95 % CI 0.925–1.048), 0.998 (95 % CI 0.934–1.067), 0.995 (95 % CI 0.894–1.107), 1.100 (95 % CI 0.968–1.250), as well as 0.998 (95 % CI 0.928–1.072), 0.993 (95 % CI 0.902–1.092), 0.945 (95 % CI 0.833–1.072), and 1.053 (95 % CI 0.849–1.307), respectively (Fig. 2a, b). The other pooled RR estimates of acute rejection and chronic rejection rates for all enrolled studies were 1.077 (95 % CI 0.864–1.343) and 0.311 (95 % CI 0.003–37.207) (Fig. 2c). There were no differences between the steroid group and steroid-free group for the primary endpoints.
Fig. 2

Forest plot of RR and 95 % CI for patient survival rates (a), graft survival rates (b), and rejection rates (c) and incidence of complications (d) for all 17 enrolled RCTs in this study. The horizontal lines represent the 95 % CI of the RR for the steroid group compared to steroid-free group in each study. The black box in the middle of the CI represents the single best estimate of RR in that study. The width of the CI is related to the power of the study and inversely associated with sample size. In addition, the pooled or combined RR results of the meta-analysis are represented by a diamond, the width of which is the CI for the pooled data. The vertical line is typically displayed to indicate no effect when RR = 1. When the CI crosses the vertical line of no effect, we must accept the null hypothesis of no difference between two groups. Only if the CI remains clear of the vertical line of no effect can we reject the null hypothesis and conclude that steroid minimization likely caused the outcome. We used a fixed effect model for meta-analysis, except that heterogeneity between studies was considered present if the p value was <0.1 or I was more than 50 %, where we used a random effect model instead

Forest plot of RR and 95 % CI for patient survival rates (a), graft survival rates (b), and rejection rates (c) and incidence of complications (d) for all 17 enrolled RCTs in this study. The horizontal lines represent the 95 % CI of the RR for the steroid group compared to steroid-free group in each study. The black box in the middle of the CI represents the single best estimate of RR in that study. The width of the CI is related to the power of the study and inversely associated with sample size. In addition, the pooled or combined RR results of the meta-analysis are represented by a diamond, the width of which is the CI for the pooled data. The vertical line is typically displayed to indicate no effect when RR = 1. When the CI crosses the vertical line of no effect, we must accept the null hypothesis of no difference between two groups. Only if the CI remains clear of the vertical line of no effect can we reject the null hypothesis and conclude that steroid minimization likely caused the outcome. We used a fixed effect model for meta-analysis, except that heterogeneity between studies was considered present if the p value was <0.1 or I was more than 50 %, where we used a random effect model instead The detailed pooled RR estimates of survival rates and rejection rates for Sects. I and II are listed in Supplementary Tables 3 and 4, respectively. In Sect. I, the overall 1-, 2-, 3-, and 5-year pooled RR estimates of patient survivals and graft survival rates were 0.988 (95 % CI 0.896–1.090), 1.032 (95 % CI 0.931–1.145), 1.021 (95 % CI 0.876–1.189), and 1.100 (95 % CI 0.968–1.250), as well as 0.991 (95 % CI 0.879–1.118), 1.013 (95 % CI 0.847–1.212), 0.905 (95 % CI 0.606–1.352), and 1.061 (95 % CI 0.855–1.316), respectively (Fig. 3a, b). The other pooled RR estimates of acute rejection and chronic rejection rates were 0.983 (95 % CI 0.774–1.247) and 0.126 (95 % CI 0.030–0.526) (Fig. 3c). In Sect. II, the overall 1- and 2-year pooled RR estimates of patient survival rates and graft survival rates were 0.982 (95 % CI 0.904–1.065) and 0.977 (95 % CI 0.895–1.067) as well as 1.005 (95 % CI 0.916–1.102) and 0.968 (95 % CI 0.863–1.085), respectively (Fig. 4a, b). The pooled RR estimate of acute rejection rates was 1.130 (95 % CI 0.927–1.377) (Fig. 4c). In general, steroid elimination and plus induction agent employment during OLT could achieve comparably favorable survival rates and rejection rates of no significance compared with traditional long-term steroid usage.
Fig. 3

Forest plot of RR and 95 % CI for patient survival rates (a), graft survival rates (b), and rejection rates (c) and incidence of complications (d) for Sect. I in this study. The horizontal lines represent the 95 % CI of the RR for the steroid group compared to the steroid-free group in each study. The black box in the middle of the CI represents the single best estimate of RR in that study. The width of the CI is related to the power of the study and inversely associated with sample size. In addition, the pooled or combined RR results of the meta-analysis are represented by a diamond, the width of which is the CI for the pooled data. The vertical line is typically displayed to indicate no effect when RR = 1. When the CI crosses the vertical line of no effect, we must accept the null hypothesis of no difference between two groups. Only if the CI remains clear of the vertical line of no effect can we reject the null hypothesis and conclude that steroid minimization likely caused the outcome. We used a fixed effect model for meta-analysis, except that heterogeneity between studies was considered present if the p value was <0.1 or I was more than 50 %, where we used a random effect model instead

Fig. 4

Forest plot of RR and 95 % CI for patient survival rates (a), graft survival rates (b), and rejection rates (c) and incidence of complications (d) for Sect. II in this study. The horizontal lines represent the 95 % CI of the RR for the non-induction group compared to the induction group in each study. The black box in the middle of the CI represents the single best estimate of RR in that study. The width of the CI is related to the power of the study and inversely associated with sample size. In addition, the pooled or combined RR results of the meta-analysis are represented by a diamond, the width of which is the CI for the pooled data. The vertical line is typically displayed to indicate no effect when RR = 1. When the CI crosses the vertical line of no effect, we must accept the null hypothesis of no difference between two groups. Only if the CI remains clear of the vertical line of no effect can we reject the null hypothesis and conclude that the prescription of induction agents during steroid minimization likely caused the outcome. We used a fixed effect model for meta-analysis, except that heterogeneity between studies was considered present if the p value was <0.1 or I was more than 50 %, where we used a random effect model instead

Forest plot of RR and 95 % CI for patient survival rates (a), graft survival rates (b), and rejection rates (c) and incidence of complications (d) for Sect. I in this study. The horizontal lines represent the 95 % CI of the RR for the steroid group compared to the steroid-free group in each study. The black box in the middle of the CI represents the single best estimate of RR in that study. The width of the CI is related to the power of the study and inversely associated with sample size. In addition, the pooled or combined RR results of the meta-analysis are represented by a diamond, the width of which is the CI for the pooled data. The vertical line is typically displayed to indicate no effect when RR = 1. When the CI crosses the vertical line of no effect, we must accept the null hypothesis of no difference between two groups. Only if the CI remains clear of the vertical line of no effect can we reject the null hypothesis and conclude that steroid minimization likely caused the outcome. We used a fixed effect model for meta-analysis, except that heterogeneity between studies was considered present if the p value was <0.1 or I was more than 50 %, where we used a random effect model instead Forest plot of RR and 95 % CI for patient survival rates (a), graft survival rates (b), and rejection rates (c) and incidence of complications (d) for Sect. II in this study. The horizontal lines represent the 95 % CI of the RR for the non-induction group compared to the induction group in each study. The black box in the middle of the CI represents the single best estimate of RR in that study. The width of the CI is related to the power of the study and inversely associated with sample size. In addition, the pooled or combined RR results of the meta-analysis are represented by a diamond, the width of which is the CI for the pooled data. The vertical line is typically displayed to indicate no effect when RR = 1. When the CI crosses the vertical line of no effect, we must accept the null hypothesis of no difference between two groups. Only if the CI remains clear of the vertical line of no effect can we reject the null hypothesis and conclude that the prescription of induction agents during steroid minimization likely caused the outcome. We used a fixed effect model for meta-analysis, except that heterogeneity between studies was considered present if the p value was <0.1 or I was more than 50 %, where we used a random effect model instead

Secondary predictors

As shown in Supplementary Table 2 and Fig. 2d, the pooled RR estimates of secondary outcomes such as HCV recurrence (1.101; 95 % CI 0.964–1.257), HCC recurrence (1.403; 95 % CI 0.422–4.688), diabetes (1.836; 95 % CI 1.294–2.606), hypertension (1.607; 95 % CI 0.926–1.228), kidney dysfunction (0.842; 95 % CI 0.693–1.022), bacterial infection (1.096; 95 % CI 0.783–1.533), and CMV (2.280; 95 % CI 1.500–3.465) for all 17 RCTs were presented. Of note, the combined complication incidence estimates including diabetes (p = 0.001) and CMV (p < 0.001) were significantly reduced with early steroid withdrawal. In Sect. I, the pooled RR estimates of HCV recurrence (0.926; 95 % CI 0.586–1.463), HCC recurrence (2.437; 95 % CI 0.890–6.678), diabetes (1.223; 95 % CI 0.766–1.954), hypertension (0.975; 95 % CI 0.503–1.889), kidney dysfunction (0.807; 95 % CI 0.442–1.472), bacterial infection (0.529; 95 % CI 0.261–1.072), and CMV (2.137; 95 % CI 0.809–5.643) are displayed in Fig. 3d. No significance was observed between the steroid group and steroid-free group with respect to any complication incidence. In Sect. II, the pooled RR estimates of HCV recurrence (1.136; 95 % CI 0.993–1.300), diabetes (1.170; 95 % CI 1.093–1.252), hypertension (1.036; 95 % CI 0.980–1.095), kidney dysfunction (0.934; 95 % CI 0.869–1.004), bacterial infection (1.204; 95 % CI 0.941–1.541), and CMV (1.079; 95 % CI 0.968–1.203) are displayed in Fig. 4d. Compared with the non-induction group, the combined diabetes incidence estimates of the induction group were significantly decreased upon induction agent intervention (p < 0.001). The detailed pooled RR estimates of complication incidence for Sects. I and II are listed in Supplementary Tables 3 and 4, respectively. The funnel plot did not show any asymmetrical pattern, and the Begg’s test did not reveal any significant publication bias (data not shown).

Discussion

To the best of our knowledge, our current study represents the first evidence-based medicine article concerning the efficacy and safety of steroid minimization in the Tac-based immunosuppressive regimen for liver transplant recipients. In this meta-analysis, altogether 17 clinical trials containing 1,980 transplanted patients published between 1995 and 2011 were finally enrolled in this study. To clarify whether induction agents could reduce potential adverse effects related to steroid avoidance by modulating the immunologic status, the enrolled studies were divided into two sections in terms of: (1) whether a steroid was employed upon OLT or not; (2) whether induction agents were employed during OLT or not. To our excitement, our results indicated that early steroid withdrawal or steroid avoidance in the Tac-based immunosuppressive regimen is safe and effective for the prevention of acute and chronic rejection after OLT with the benefit of a decrease in the incidence of diabetes and CMV infection. Although the underlying data remain to be systematically investigated, the present study revealed the introduction of some induction agents including RATG, basiliximab and daclizumab in triple and quadruple immunosuppressive protocols are likely more effective in lowering the high-dose usage of Tac in order to minimize the potential detrimental effect on renal functions. In the following paragraphs, some important issues pertaining to steroid elimination in the Tac-based immunosuppressive regimen for liver transplant recipients will be discussed. Since the discovery of cortisol in 1937, steroids have paved the way for successful medical immunosuppression, especially for later organ transplantation, and proved the reversibility of rejection. However, in the modern era of an improved immunosuppressive protocol, it is necessary to critically assess the risk:benefit ratio of long-term steroid therapy during and after liver transplantation. To date, several studies have shown that weaning from steroids can be successfully carried out shortly after liver transplantation, thereby decreasing typical steroid-related side effects including new-onset diabetes mellitus, lipid metabolism abnormality, viral hepatitis recurrence and liver malignancy relapse [27, 29, 30, 35, 38]. In spite of these encouraging results, the theoretical advantages should be carefully balanced against the potential risks of increasing nonsteroidal immunosuppressive complications and a higher incidence of rejection. Jain et al. [39] reported 23.8 % of patients under the Tac-based immunosuppressive regimen required steroid reintroduction for late rejection, recurrence of the autoimmune process, renal impairment, or the concomitant presence of other medical conditions. Thus, the authors concluded that long-term sustained freedom from steroids may not be possible in all patients under Tac secondary to these conditions. Another multicenter, 1-year, comparative, double-blind, placebo-controlled study evaluating the efficacy and safety of an immunosuppressive regimen with steroid withdrawal at day 14 revealed a higher incidence of acute rejection, only balanced by a trend of a lower need for antidiabetic treatment [40]. The previous study suggested that steroid withdrawal or avoidance may not always be safe and needed. Steroid reintroduction may be necessary for late rejection episodes, recurrent autoimmune disease, or renal impairment due to Tac. As mentioned above, there are three categories of individuals in whom the long-term adverse effects of steroids after liver transplantation are particularly detrimental. First, most steroid-induced side effects occurred in children, like what was encountered in adults. Of note, growth retardation and Cushingoid features are of concern in the pediatric transplant recipients. Second, those patients with cardiovascular risk factors of hyperlipidemia, hypertension, or diabetes certainly have a contraindication to long-term steroid therapy. Last but not least, it could be supposed that rapid steroid tapering or being steroid free will serve as one of the most important determinants for slowing down the progression to tumor relapse. For years corticosteroid induction has been the traditional standard immunosuppressive modality for OLT. Recently, induction therapy with antibodies has been increasingly used without widespread acceptance. The underlying mechanism of induction therapy is to inhibit thymus-derived lymphocyte activation through T cell pool depletion with either monoclonal antibodies or polyclonal antibodies (RATG), or to block specific IL-2 receptors (basiliximab or daclizumab), which may lead to reduction of the incidence of acute rejection and act as steroid-sparing minimization alternatives [19]. Mangus et al. [20] retrospectively analyzed data obtained from a single-center research database ranging from 2001 to 2008 comparing transplant outcomes and complications. The authors concluded that RATG-based induction immunosuppression could be safely used in adult OLT recipients with excellent survival, low rejection rates, and a comparably acceptable incidence of side effects [20]. Experts from the University of Tokyo in Japan conducted an observational study to evaluate the efficacy and safety of basiliximab as rescue therapy for the treatment of acute cellular rejection [41]. In contrast to 11 patients who received steroid therapy for acute cellular rejection, there were no significant immediate adverse effects in the basiliximab group which underwent liver transplantation for HCV cirrhosis [41]. In addition, recent studies have shown that immunosuppression with low-dose daclizumab and delayed initiation of Tac had significant benefits in preserving renal function after OLT [42]. However, the application of the induction therapy with biologic agents carrying elevated risks of over-immunosuppression, CMV viremia, posttransplant lymphoproliferative disease, as well as HCV recurrence is still controversial [43]. In our present study, we have demonstrated comparable patient and graft survival with significantly lower rates of HCV recurrence, diabetes, bacterial infection, and CMV infection as compared to no induction intervention.

Conclusions

In conclusion, the present investigation systematically reviewed the recent 17 prospective randomized controlled clinical trials concerning the application of steroid minimization in the Tac-based immunosuppressive regimen for liver transplant recipients, and a meta-analysis was performed to reveal the efficacy and safety of early steroid withdrawal or complete avoidance. Furthermore, adverse events potentially related to steroids were less frequently observed with the use of antibody agents for induction therapy while low-dose Tac could be maintained. Below is the link to the electronic supplementary material. Supplementary material 1 (DOC 45 kb) Supplementary material 2 (DOC 44 kb) Supplementary material 3 (DOC 45 kb) Supplementary material 4 (DOC 39 kb) Representative funnel plot of 1-year patient survival rate in Sect. I (TIFF 3051 kb)
  41 in total

1.  Basiliximab as therapy for acute rejection after liver transplantation for hepatitis C virus cirrhosis.

Authors:  Junichi Togashi; Yasuhiko Sugawara; Sumihito Tamura; Junichi Kaneko; Noriyo Yamashiki; Taku Aoki; Kiyoshi Hasegawa; Norihiro Kokudo
Journal:  Biosci Trends       Date:  2011       Impact factor: 2.400

2.  Randomized trial of basiliximab induction versus steroid therapy in pediatric liver allograft recipients under tacrolimus immunosuppression.

Authors:  M Spada; W Petz; A Bertani; S Riva; A Sonzogni; M Giovannelli; E Torri; G Torre; M Colledan; B Gridelli
Journal:  Am J Transplant       Date:  2006-06-09       Impact factor: 8.086

3.  Steroid-free liver transplantation using rabbit antithymocyte globulin and early tacrolimus monotherapy.

Authors:  James D Eason; Satheesh Nair; Ari J Cohen; Jamie L Blazek; George E Loss
Journal:  Transplantation       Date:  2003-04-27       Impact factor: 4.939

4.  Withdrawal of steroids: a randomized prospective study of prednisone and tacrolimus versus mycophenolate mofetil and tacrolimus in liver transplant recipients with autoimmune hepatitis.

Authors:  G Junge; R Neuhaus; L Schewior; J Klupp; O Guckelberger; J M Langrehr; S Tullius; P Neuhaus
Journal:  Transplant Proc       Date:  2005-05       Impact factor: 1.066

5.  Corticosteroid-free immunosuppression with tacrolimus following induction with daclizumab: a large randomized clinical study.

Authors:  Olivier Boillot; David A Mayer; Karim Boudjema; Mauro Salizzoni; Bruno Gridelli; Franco Filipponi; Pavel Trunecka; Marek Krawczyk; Pierre-Alain Clavien; Christian Ducerf; Carlos Margarit; Raimund Margreiter; José Mir Pallardo; Krister Hoeckerstedt; George-Phillipe Pageaux
Journal:  Liver Transpl       Date:  2005-01       Impact factor: 5.799

6.  Early steroid withdrawal after liver transplantation for hepatocellular carcinoma.

Authors:  Zhi-Shui Chen; Fan He; Fan-Jun Zeng; Ji-Pin Jiang; Dun-Feng Du; Bin Liu
Journal:  World J Gastroenterol       Date:  2007-10-21       Impact factor: 5.742

7.  First results from a prospective randomized trial comparing steroid-free induction therapy with tacrolimus and MMF versus tacrolimus and steroids in patients after liver transplantation for HCV.

Authors:  J M Langrehr; U P Neumann; M Lang; A R Müller; S Jonas; U Settmacher; T Steinmüller; P Neuhaus
Journal:  Transplant Proc       Date:  2002-08       Impact factor: 1.066

8.  Outcome of recurrent hepatitis C virus after liver transplantation in a randomized trial of tacrolimus monotherapy versus triple therapy.

Authors:  Pinelopi Manousou; Dimitrios Samonakis; Evangelos Cholongitas; David Patch; James O'Beirne; Amar P Dhillon; Keith Rolles; Aiden McCormick; Peter Hayes; Andrew K Burroughs
Journal:  Liver Transpl       Date:  2009-12       Impact factor: 5.799

9.  Safety and efficacy of steroid-free immunosuppression with tacrolimus and daclizumab in liver transplant recipients: 6-year follow-up in a single center.

Authors:  B Foroncewicz; K Mucha; E Ryszkowska; M Ciszek; J Ziółkowski; D Porowski; M Krawczyk; L Paczek
Journal:  Transplant Proc       Date:  2009-10       Impact factor: 1.066

10.  Steroid-free liver transplantation in children.

Authors:  Raymond Reding; Jérémie Gras; Etienne Sokal; Jean-Bernard Otte; Hugh F S Davies
Journal:  Lancet       Date:  2003-12-20       Impact factor: 79.321

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  5 in total

1.  Differences in Peripheral Blood Lymphocytes between Brand-Name and Generic Tacrolimus Used in Stable Liver Transplant Recipients.

Authors:  Jong Man Kim; Choon Hyuck David Kwon; Jae-Won Joh; Dong Hyun Sinn; Gyu-Seong Choi; Jae Berm Park; Eun-Suk Kang; Suk-Koo Lee
Journal:  Med Princ Pract       Date:  2017-01-09       Impact factor: 1.927

2.  Duplicate publication bias weakens the validity of meta-analysis of immunosuppression after transplantation.

Authors:  Cameron J Fairfield; Ewen M Harrison; Stephen J Wigmore
Journal:  World J Gastroenterol       Date:  2017-10-21       Impact factor: 5.742

Review 3.  Glucocorticosteroid-free versus glucocorticosteroid-containing immunosuppression for liver transplanted patients.

Authors:  Cameron Fairfield; Luit Penninga; James Powell; Ewen M Harrison; Stephen J Wigmore
Journal:  Cochrane Database Syst Rev       Date:  2018-04-09

4.  Influence of renal complications on the efficacy and adverse events of tacrolimus combination therapy in patients with systemic lupus erythematosus (SLE) during a maintenance phase: a single-centre, prospective study.

Authors:  Sho Ishii; Yusuke Miwa; Kumiko Otsuka; Shinichiro Nishimi; Airi Nishimi; Mayu Saito; Yoko Miura; Nao Oguro; Takahiro Tokunaga; Ryo Takahashi; Tsuyoshi Kasama
Journal:  Lupus Sci Med       Date:  2015-05-29

5.  Comparison of the long-term efficacy and safety of generic tacrolimus, Tacrobell, with Prograf in liver transplant recipients.

Authors:  Ho Joong Choi; Dong Goo Kim; Bong Jun Kwak; Jae Hyun Han; Tae Ho Hong; Young Kyoung You
Journal:  Drug Des Devel Ther       Date:  2018-02-13       Impact factor: 4.162

  5 in total

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