ArticleFrontiers in immunology2022
Combined impact of the inter and intra-patient variability of tacrolimus blood level on allograft outcomes in kidney transplantation.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Impact of Intrapatient Immunosuppression Variability in Renal Transplantation Outcomes: A Systematic Review and Meta-analysis.Transplantation · 2026Pooled it
- Feasibility and outcomes of kidney transplantation in patients with end-stage kidney disease after haemopoietic stem cell transplantation.Internal medicine journal · 2026Article
- Influence of intrapatient variability in tacrolimus trough levels on acute rejection in pediatric kidney transplant recipients.Pediatric nephrology (Berlin, Germany) · 2026Article
- Agmatine Abrogates Tacrolimus-Induced Testicular Injury in Rats.Pharmaceutics · 2025Article
- Comparative evaluation of five tacrolimus assays in transplant recipients: implications for optimizing therapeutic drug monitoring.Frontiers in transplantation · 2025Article
- Impact of intra-patient variability of tacrolimus on allograft function and CD4 + /CD8 + ratio in kidney transplant recipients: a retrospective single-center study.International journal of clinical pharmacy · 2024Article
- Exploratory associations of tacrolimus exposure and clinical outcomes after lung transplantation: A retrospective, single center experience.European journal of clinical pharmacology · 2024Observational
- Tacrolimus-why pharmacokinetics matter in the clinic.Frontiers in transplantation · 2023Review
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Tacrolimus (TAC) has been widely used as an immunosuppressant after kidney transplantation (KT); however, the combined effects of intra-patient variability (IPV) and inter-patient variability of TAC-trough level (C0) in blood remain controversial. This study aimed to determine the combined impact of TAC-IPV and TAC inter-patient variability on allograft outcomes of KT. Methods: In total, 1,080 immunologically low-risk patients who were not sensitized to donor human leukocyte antigen (HLA) were enrolled. TAC-IPV was calculated using the time-weighted coefficient variation (TWCV) of TAC-C0, and values > 30% were classified as high IPV. Concentration-to-dose ratio (CDR) was used for calculating TAC inter-patient variability, and CDR < 1.05 ng•mg/mL was classified as rapid metabolizers (RM). TWCV was calculated based on TAC-C0 up to 1 year after KT, and CDR was calculated based on TAC-C0 up to 3 months after KT. Patients were classified into four groups according to TWCV and CDR: low IPV/non-rapid metabolizer (NRM), high IPV/NRM, low IPV/RM, and high IPV/RM. Subgroup analysis was performed for pre-transplant panel reactive antibody (PRA)-positive and -negative patients (presence or absence of non-donor-specific HLA-antibodies). Allograft outcomes, including deathcensored graft loss (DCGL) and biopsy-proven allograft rejection (BPAR), were compared. Results: The incidences of DCGL, BPAR, and overall graft loss were the highest in the high-IPV/RM group. In addition, a high IPV/RM was identified as an independent risk factor for DCGL. The hazard ratio of high IPV/RM for DCGL and the incidence of active antibody-mediated rejection were considerably increased in the PRA-positive subgroup. Discussion: High IPV combined with RM (inter-patient variability) was closely related to adverse allograft outcomes, and hence, more attention must be given to pre-transplant PRA-positive patients.
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