Literature DB >> 28756385

Impact of intrapatient variability (IPV) in tacrolimus trough levels on long-term renal transplant function: multicentre collaborative retrospective cohort study protocol.

Petra M Goldsmith1,2, Matthew J Bottomley3, Okidi Okechukwu4, Victoria C Ross5, Ryan Ghita5, David Wandless6, Stuart J Falconer7, Stavros Papachristos4, Philip Nash8, Vitaliy Androshchuk3, Marc Clancy7,9.   

Abstract

INTRODUCTION: High intrapatient variability (IPV) in tacrolimus trough levels has been shown to be associated with higher rates of renal transplant failure. There is no consensus on what level of IPV constitutes a risk of graft loss. The establishment of such a threshold could help to guide clinicians in identifying at-risk patients to receive targeted interventions to improve IPV and thus outcomes. METHODS AND ANALYSIS: A multicentre Transplant Audit Collaborative has been established to conduct a retrospective study examining tacrolimus IPV and renal transplant outcomes. Patients in receipt of a renal transplant at participating centres between 2009 and 2014 and fulfilling the inclusion criteria will be included in the study. The aim is to recruit a minimum of 1600 patients with follow-up spanning at least 2 years in order to determine a threshold IPV above which a renal transplant recipient would be considered at increased risk of graft loss. The study also aims to determine any national or regional trends in IPV and any demographic associations. ETHICS AND DISSEMINATION: Consent will not be sought from patients whose data are used in this study as no additional procedures or information will be required from participants beyond that which would normally take place as part of clinical care. The study will be registered locally in each participating centre in line with local research and development protocols. It is anticipated that the results of this audit will be disseminated locally, in participating NHS Trusts, through national and international meetings and publications in peer-reviewed journals. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  nephrology; transplant medicine; transplant surgery

Mesh:

Substances:

Year:  2017        PMID: 28756385      PMCID: PMC5642769          DOI: 10.1136/bmjopen-2017-016144

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This is a multicentre collaborative study composed of units across the UK which are both transplant centres and referring nephrology units. The sample size will be the largest investigating IPV to date. The study uses a unified method across all participating centres, which will enable meaningful comparison between centres. The study investigates retrospective data and requires a lengthy follow-up period which will lead to some exclusions. There will be minor local variations in the laboratory assay that cannot be corrected for in the IPV calculations. Confounding factors such as geographical bias, repatriation as a cause of lost to follow-up, under-representation of poorly compliant patients who do not attend appointments, frequency of sampling and temporary medications are beyond the scope of this study.

Introduction

The addition of calcineurin inhibitors (CNIs) as maintenance immunosuppressants has improved renal transplant 1-year survival rates since the 1980s.1 Tacrolimus emerged as a viable alternative to ciclosporin in the 1990s.1 In 2005, a meta-analysis was published on randomised trial data comparing tacrolimus and ciclosporin as primary immunosuppressants in renal transplant, observing a 44% reduction in death-censored graft loss with tacrolimus over ciclosporin.2 In 2007, the Symphony Study reported favourable graft survival and function, and reduced biopsy-proven rejection with low-dose tacrolimus over low-dose ciclosporin, sirolimus or standard-dose tacrolimus.3 CNIs have a narrow therapeutic index: too little exposure places a transplant recipient at increased risk of acute rejection and donor-specific antibody formation. Too much exposure and a transplant recipient is placed at increased risk of malignancy, infection, nephrotoxicity and unacceptable side effects such as tremor.4–7 Trough levels are used as a proxy for oral bioavailability of CNIs and vary both between patients (interpatient variability) and for an individual over time (intrapatient variability, IPV). Between individuals, age, gender, ethnicity, body mass index, genetic polymorphisms in CYP3A5 and CYP3A4, drug interactions, adherence, liver function and lifestyle choices account for the differences. Similarly, IPV is affected by adherence, gastrointestinal metabolism and motility, diarrhoea, food and drug interactions, synchronicity of dose administration and blood test and variability of the laboratory assay.8–15 An emerging body of evidence is being established indicating favourable graft function, survival and fewer rejection episodes up to 1 year post-transplant for patients demonstrating low IPV.16–18 Similarly, high IPV has been associated with poorer outcomes and graft survival.19 20 Donor age and previous transplants appear to be risk factors for a high IPV.18 However, little data exists on the long-term impact of high IPV and studies have not yet been able to draw conclusions about risk thresholds of variability because of limitations in sample size. To establish important baseline data about national and regional trends in IPV To investigate demographic associations and other characteristics for patients in high and low variability groups To establish whether there exists a ‘danger’ threshold for IPV, above which a patient is deemed at risk of graft loss or dysfunction, so they can then be targeted for intervention prior to organ damage or failure

Outcomes

Primary outcomes: Recent 12 months’ IPV, IPV months 6–12, change in IPV. Secondary outcomes: Ethnicity, recipient age, change in IPV, previous transplants, DR mismatch, graft function, graft survival, gender.

Confounders

We acknowledge the potential for confounding factors that are outside the scope of this study to address. These include frequency of tacrolimus level sampling (and the reasons why this might be increased) and conversely under-representation of poorly compliant patients who do not attend appointments. These confounders may be affected by hospital admissions, temporary medication use (such as oral antibiotics) and those patients with a modified tacrolimus target.

Methods and analysis

A multicentre transplant audit collaborative (TAC) has been established to conduct a retrospective study examining tacrolimus IPV and renal transplant outcomes. It is the first collaborative of its kind, facilitating the development of this largest study examining IPV to date. TAC is composed of junior doctors with an interest in nephrology and/or transplantation. It is supported by Consultant physicians and surgeons in these fields to undertake research and audit projects related to transplantation. Any UK NHS Trust involved in the aftercare of renal transplant recipients is eligible to register for this study providing they have a transplant or nephrology doctor willing to enrol in the TAC.

Patient selection

Patients in receipt of a renal transplant at participating centres between 2009 and 2014 and fulfilling the inclusion criteria will be included in the study (table 1). To be enrolled, patients are required to have follow-up spanning at least 2 years in order to determine a threshold IPV above which a renal transplant recipient would be considered at increased risk of graft loss.
Table 1

Inclusion/exclusion criteria

Inclusion criteriaExclusion criteria
Age ≥18 years at time of transplantAge ≤17 years at time of transplant
A functioning graft* at 2 yearsFailed graft before 2 years
Renal-only transplantNon-renal transplant
Short-acting tacrolimus preparationModified release preparation at any
Only during study periodPoint during study period
Tacrolimus as primary immunosuppressantOther primary immunosuppressant (eg, ciclosporin, sirolimus, other non-steroid)
Alive minimum 2 years following transplantPregnancy at any point during study period
Death prior to 2 years following transplant
Non-standard transplant (ABO or HLA incompatible; requiring desensitisation)
Patients with fewer than four tacrolimus trough levels for T1 and T2

T1, 6–12 months post-transplant; T2, most recent 12 months.

Inclusion/exclusion criteria T1, 6–12 months post-transplant; T2, most recent 12 months.

Sample size

A large sample size is needed to provide meaningful numbers to establish variability risk cut-offs. It is estimated that a minimum of eight UK-based centres will participate in the study. If each centre, on average, supplies data for 200 patients, a minimum dataset of 1600 patients will be achieved. It is, however, recognised that there will be a significant variation between the numbers of eligible patients available to each centre (tertiary transplant units will naturally have access to larger numbers that referring District General Hospitals). The set number of 200, therefore, is only to be used as a guide and it is recognised that this may not be achievable for smaller, secondary nephrology units. Similarly, we welcome larger numbers from any centre able to do so.

Data collection and information governance

TAC has established a standard minimum dataset (see box 1) which each site will use as the basis for data collection. A template database will be provided to a representative of the study team from each NHS Trust participating in the study. This database will be password protected and held on secure local Trust servers. All data should be entered onto this database – the use of hard copy proformas associated with this audit is discouraged to avoid breaching data protection policies. Data set Date of transplant Recipient and donor ages Gender Ethnicity Primary renal diagnosis Previous transplants Mismatch grade (A, B, DR) Type of donor eGFR at the end of T1 and T2 Creatinine at 12 months and at the end of T2 All tacrolimus trough levels during T1 and T2 Urinary protein creatinine ratio at the of end T1 and T2 Graft failure Delayed graft function Tacrolimus dosing at month 12 and at the end of T2 Other immunosuppression at both T1 and T2: Steroid Y/N; MMF Y/N; Azathioprine Y/N Induction agent De novo donor-specific antibody status post-transplant and level (mean fluorescence intensity) Biopsy-proven acute rejection Death T1, 6–12 months post-transplant; T2, most recent 12 months. The data collection database will be anonymised and will contain no patient identifiable data. Each hospital will be issued with patient study identifiers for all patients included in the study. A separate password-protected spreadsheet of the study identifiers with the corresponding hospital numbers should be securely stored locally by each participating centre for local reference only should there be any difficulties or queries regarding data collection. The anonymised master database will be compiled by a dedicated, named member of the collaborative. It will be shared with all members of TAC using secure NHS email only (either local Trust email or NHS.net) and will be held on secure, password-protected Trust servers only. Data collection has been under way since March 2017 and is scheduled for completion in September 2017. A period of data analysis will then follow until December 2017 at which time the results will be disseminated as detailed in the Ethics and Dissemination section below.

Data analysis

Studies have shown that high IPV is associated with poorer renal transplant outcomes17 but no research group has yet established or described an IPV level at which the risk of such outcomes is significantly increased. With our large sample size, we will be able to stratify our group into quartiles or quintiles based on IPV, enabling us to compare outcomes between the groups. IPV will be calculated using the mean absolute deviation as described by Shuker et al.18 Individual subjects will be stratified into groups based on observed variability during T1. Intergroup comparisons will be made using both univariate and multivariate analyses for the clinically relevant end points including graft loss, graft dysfunction (assessed by eGFR and new onset proteinuria) and biopsy-proven rejection episodes. The univariate predictive value of T1 IPV for these outcomes will be evaluated by receiver operator curve assessment. Categorical variables will be compared using Χ2 and Fisher's exact test where appropriate. Continuous variables will be assessed using T test for parametric and Mann-Whitney U test for non-parametric data. Multivariate analysis will use Cox regression survival analysis to compare event-free survival, corrected for potential confounders including age, gender and ethnicity. Where there is loss to follow-up after the 2-year period, data will be censored according to last known status at the time of last creatinine or tacrolimus level (whichever is the latter).

Permissions and registration

Each participating centre will be expected to complete a site registration form. A named member of TAC from each participating centre will be responsible for gaining all necessary local Trust permissions and study registrations as required by local Research and Development and Audit offices. Consent will not be sought from patients whose data are used in this study as no additional procedures or information will be required from participants beyond that which would normally take place as part of clinical care. The findings of the study are not expected to impact on individual patient care.
  19 in total

Review 1.  Effect of CYP3A and ABCB1 single nucleotide polymorphisms on the pharmacokinetics and pharmacodynamics of calcineurin inhibitors: Part I.

Authors:  Christine E Staatz; Lucy K Goodman; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2010-03       Impact factor: 6.447

Review 2.  Tacrolimus versus ciclosporin as primary immunosuppression for kidney transplant recipients: meta-analysis and meta-regression of randomised trial data.

Authors:  Angela C Webster; Rebecca C Woodroffe; Rod S Taylor; Jeremy R Chapman; Jonathan C Craig
Journal:  BMJ       Date:  2005-09-12

3.  Reduced exposure to calcineurin inhibitors in renal transplantation.

Authors:  Henrik Ekberg; Helio Tedesco-Silva; Alper Demirbas; Stefan Vítko; Björn Nashan; Alp Gürkan; Raimund Margreiter; Christian Hugo; Josep M Grinyó; Ulrich Frei; Yves Vanrenterghem; Pierre Daloze; Philip F Halloran
Journal:  N Engl J Med       Date:  2007-12-20       Impact factor: 91.245

4.  Time-dependent variability in tacrolimus trough blood levels is a risk factor for late kidney transplant failure.

Authors:  Ruth Sapir-Pichhadze; Yao Wang; Olusegun Famure; Yanhong Li; S Joseph Kim
Journal:  Kidney Int       Date:  2013-12-11       Impact factor: 10.612

5.  CYP3A5 genotype is not related to the intrapatient variability of tacrolimus clearance.

Authors:  Nilufar Pashaee; Rachida Bouamar; Dennis A Hesselink; Joke I Roodnat; Ron H N van Schaik; Willem Weimar; Teun van Gelder
Journal:  Ther Drug Monit       Date:  2011-06       Impact factor: 3.681

Review 6.  Immunosuppressive agents in organ transplantation: past, present, and future.

Authors:  J C Hong; B D Kahan
Journal:  Semin Nephrol       Date:  2000-03       Impact factor: 5.299

7.  High within-patient variability in the clearance of tacrolimus is a risk factor for poor long-term outcome after kidney transplantation.

Authors:  Lennaert C P Borra; Joke I Roodnat; Judith A Kal; Ron A A Mathot; Willem Weimar; Teun van Gelder
Journal:  Nephrol Dial Transplant       Date:  2010-02-26       Impact factor: 5.992

8.  High Intrapatient Tacrolimus Variability Is Associated With Worse Outcomes in Renal Transplantation Using a Low-Dose Tacrolimus Immunosuppressive Regime.

Authors:  Henry R Whalen; Julie A Glen; Victoria Harkins; Katherine K Stevens; Alan G Jardine; Colin C Geddes; Marc J Clancy
Journal:  Transplantation       Date:  2017-02       Impact factor: 4.939

Review 9.  New insights into the pharmacokinetics and pharmacodynamics of the calcineurin inhibitors and mycophenolic acid: possible consequences for therapeutic drug monitoring in solid organ transplantation.

Authors:  Hylke de Jonge; Maarten Naesens; Dirk R J Kuypers
Journal:  Ther Drug Monit       Date:  2009-08       Impact factor: 3.681

Review 10.  Clinical pharmacokinetics of tacrolimus.

Authors:  R Venkataramanan; A Swaminathan; T Prasad; A Jain; S Zuckerman; V Warty; J McMichael; J Lever; G Burckart; T Starzl
Journal:  Clin Pharmacokinet       Date:  1995-12       Impact factor: 6.447

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  3 in total

1.  Tacrolimus Trough Level at the First Month May Predict Renal Transplantation Outcomes Among Living Chinese Kidney Transplant Patients: A Propensity Score-Matched Analysis.

Authors:  Saifu Yin; Turun Song; Yamei Jiang; Xingxing Li; Yu Fan; Tao Lin
Journal:  Ther Drug Monit       Date:  2019-06       Impact factor: 3.681

2.  High Calcineurin Inhibitor Intrapatient Variability Is Associated With Renal Allograft Inflammation, Chronicity, and Graft Loss.

Authors:  Akhil Sharma; Aravind Cherukuri; Rajil B Mehta; Puneet Sood; Sundaram Hariharan
Journal:  Transplant Direct       Date:  2019-01-28

Review 3.  Current Concepts in Pharmacometabolomics, Biomarker Discovery, and Precision Medicine.

Authors:  Richard D Beger; Michael A Schmidt; Rima Kaddurah-Daouk
Journal:  Metabolites       Date:  2020-03-27
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