Kidney Transplant; Complications, Kidney Transplant Rejection
Conditions
Keywords
kidney transplant, tacrolimus, CYP3A5, Pharmacogenomics
Brief summary
The investigators hypothesise that the adaptation of CYP3A5 genotype-based Tacrolimus (FK) dosing will lead to earlier FK target achievement and consequently, better clinical outcome after kidney transplantation (RTx). This study aims to shed light on the possible impact of CYP3A genotype-based FK dosing on FK target achievement and clinical outcome after RTx in a multi-ethnic population where current evidence is lacking. This data would be helpful to the physicians so that by knowing the genotype of the patient before undergoing transplantation, practitioners would be able to decide on the starting dose of FK so as to avoid low trough levels and risk of acute rejection or high trough levels and risk of nephrotoxicity.
Detailed description
Tacrolimus (FK) remains the cornerstone of maintenance immunosuppressants after renal transplantation. However, it is characterised by narrow therapeutic index and large inter-individual variability in its pharmacokinetics, particularly in the dose required to reach target trough blood concentrations. Among several factors investigated for their possible influence on tacrolimus pharmacokinetics, polymorphisms in genes coding for biotransformation enzymes (cytochrome P450 (CYP) isoenzymes 3A4 and 3A5) have received much attention. Exposure to FK correlates with the cytochrome P450 (CYP) 3A4 and CYP3A5 which are polymorphically expressed. This is in part explained by the presence of single-nucleotide polymorphisms (SNPs) in the CYP3A5 and CYP3A4 genes. To date, renal transplant (RTx) recipients receive standard weight-based dosing of FK and therapeutic drug monitoring is employed for subsequent dose adjustment to ensure target FK concentration is attained. However, the current weight-based dosing strategies to guide the initial FK dosing have been poorly predictive of the actual FK dose required to attain therapeutic FK level. With the increased possibility of sub-therapeutic FK level during the early phase post renal transplantation, it puts them at a higher risk of developing acute rejection. There has been increasing evidence to suggest the implementation of pre-transplantation genotyping to guide the initial FK dose to achieve target FK concentrations as quickly as possible. On the contrary, there are a few studies that report contradictory results of genotype-guided FK dosing as being useful in attainment of target therapeutic levels. Given the differences in CYP3A5 genotype prevalence among races and the controversy in clinical benefits of such a pro-active dosage strategy, the impact of CYP3A5 genotype-guided dosing on clinical outcome remains to be answered, especially in the local multi-ethnic population. This pro-active approach may also sound promising for the local multi-ethnic population where majority of the renal transplant population are CYP3A5 expressers who may require a higher initial dose of FK based on genotyping profile.
Interventions
DRUGTacrolimus
Starting dose based on CYP3A5 genotype
Sponsors
Singapore General Hospital
Study design
Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
SINGLE (Subject)
Intervention model description
Single interventional group with historical control group
Eligibility
Sex/Gender
ALL
Age
21 Years to 75 Years
Healthy volunteers
No
Inclusion criteria
* On follow up at SGH between the ages of 21 and 75 years old who had received or are scheduled to receive a living donor renal transplant between January 2016 to January 2023 * Has to receive tacrolimus (FK) (Prograf®; Astellas Pharma, Singapore), mycophenolic acid (MPA) (Cellcept®; Roche, Basel, Switzerland or Myfortic®; Novartis Pharma AG, Basel, Switzerland) and prednisolone as triple immunosuppressive drug maintenance regimen
Exclusion criteria
* Planned to be initiated on non-standard doses of tacrolimus (e.g. planned to initiate on sub-therapeutic doses of tacrolimus) * Evidence of active liver disease or gastrointestinal disorder that might interfere with the ability to absorb oral medication * Contraindications to tacrolimus (FK) - e.g. hypersensitivity * Takes concurrent medications which are known to severely interact with FK (e.g. verapamil, azoles, rifampicin, erythromycin or clarithromycin
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Proportion of patients within the desired FK trough level at first steady state | 3 days | E.g. Proportion of patients within target FK levels on the morning of day 3 after five unaltered FK doses |
| Proportion of patients within the desired FK trough level at 7 days | 7 days | E.g. Proportion of patients within target FK levels on the morning of day 7 post initiation of FK |
Secondary
| Measure | Time frame |
|---|---|
| Average concentration-to-dose ratio of FK during the first 90 days post transplantation [days 3, 7, 14±3, 30±3, 60+±3, 90±3 days post transplantation] | 90 days |
| Time to reach the first target FK range | 90 days |
| Number of FK dose adjustments required to reach the target FK level | 90 days |
| Number of markedly sub-therapeutic FK level (defined as <4 ng/mL) and markedly supra-therapeutic FK level (defined as > 20 ng/mL) | 90 days |
| Average FK level during the first 1 weeks after transplantation | 1 week |
| Incidence of graft loss (defined as failure to discontinue dialysis or if patient undergoes graft nephrectomy) | 90 days |
| Renal function at month 3 after transplantation. Estimated GFR (eGFR) will be calculated using CKDEPI equation. [Time Frame: at day 7, 14, 30±3, 60±3 and 90±3 days after transplantation ] | 90 days |
| Proportion of patients within target FK levels on day 7 post renal transplant | 7 days |
| Incidence of biopsy-proven acute rejection (BPAR), with histologic characteristics described accordingly to the Banff criteria [Banff 1997 scoring system with 2007 modifications] and/or clinically presumed acute rejection | 90 days |
| Average daily dose of FK the first 90 days post transplantation [days 3, 7, 14±3, 30±3, 60±3, 90±3 days post transplantation] | 90 days |
Countries
Singapore
Outcome results
None listed