ArticleBritish journal of clinical pharmacology2011
Evaluation of limited sampling methods for estimation of tacrolimus exposure in adult kidney transplant recipients.
Article in British journal of clinical pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Population model of longitudinal FEV1 data in asthmatics: meta-analysis and predictability of placebo response.Journal of pharmacokinetics and pharmacodynamics · 2014Pooled it
- Bayesian optimization of tacrolimus exposure in stable kidney transplant patients.Pharmacotherapy · 2023Trial
- Optimal Sampling Strategies for Therapeutic Drug Monitoring of First-Line Tuberculosis Drugs in Patients with Tuberculosis.Clinical pharmacokinetics · 2019Trial
- Conversion from twice- to once-daily tacrolimus in pediatric kidney recipients: a pharmacokinetic and bioequivalence study.Pediatric nephrology (Berlin, Germany) · 2014Trial
- A published pharmacogenetic algorithm was poorly predictive of tacrolimus clearance in an independent cohort of renal transplant recipients.British journal of clinical pharmacology · 2013Trial
- Effects of CYP3A4, CYP3A5, and ABCB1 genetic variants on tacrolimus metabolism during the early period after kidney transplantation.The pharmacogenomics journal · 2026Article
- Analytical Models to Optimize Tacrolimus Dosing in Solid Organ Transplantation: A Systematic Review.Pharmaceutics · 2026Review
- Population Pharmacokinetics of Alfentanil in Children.Journal of clinical pharmacology · 2025Article
- Limited Sampling Strategies to Predict Mycophenolic Acid and Tacrolimus Area Under the Concentration-Time Curve in Steroid-Free Kidney Transplant Patients.Basic & clinical pharmacology & toxicology · 2025Article
- Associations between the gut microbiota and the metabolism rate of tacrolimus in kidney transplant recipients during the early posttransplant period.Archives of pharmacal research · 2025Observational
- The effects of the CYP3A5*3 variant on tacrolimus pharmacokinetics and outcomes in Tunisian kidney transplant recipients.La Tunisie medicale · 2023Article
- Limitations of fexofenadine limited sampling strategy using plasma concentrations and partial area under the concentration-time curve to estimate transporter activity in healthy adults.International journal of clinical pharmacology and therapeutics · 2023Article
- Higher tacrolimus trough levels and time in the therapeutic range are associated with the risk of acute rejection in the first month after renal transplantation.BMC nephrology · 2023Article
- Clinical Evidence on the Purported Pharmacokinetic Interactions between Corticosteroids and Mycophenolic Acid.Clinical pharmacokinetics · 2023Article
- The pharmacokinetics of tacrolimus in peripheral blood mononuclear cells and limited sampling strategy for estimation of exposure in renal transplant recipients.European journal of clinical pharmacology · 2022Article
- Limited sampling strategies for estimation of tacrolimus exposure in kidney transplant recipients receiving extended-release tacrolimus preparation.Clinical and translational science · 2022Article
- Monitoring Intra-cellular Tacrolimus Concentrations in Solid Organ Transplantation: Use of Peripheral Blood Mononuclear Cells and Graft Biopsy Tissue.Frontiers in pharmacology · 2021Review
- Fasting Status and Circadian Variation Must be Considered When Performing AUC-based Therapeutic Drug Monitoring of Tacrolimus in Renal Transplant Recipients.Clinical and translational science · 2020Observational
- The potential impact of hematocrit correction on evaluation of tacrolimus target exposure in pediatric kidney transplant patients.Pediatric nephrology (Berlin, Germany) · 2019Article
- The impact of tacrolimus exposure on extrarenal adverse effects in adult renal transplant recipients.British journal of clinical pharmacology · 2019Observational
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo examine the predictive performance of limited sampling methods for estimation of tacrolimus exposure in adult kidney transplant recipients.
methodsTwenty full tacrolimus area under the concentration-time curve from 0 to 12 h post-dose (AUC(0-12)) profiles (AUCf) were collected from 20 subjects. Predicted tacrolimus AUC(0-12) (AUCp) was calculated using the following: (i) 42 multiple regression-derived limited sampling strategies (LSSs); (ii) five population pharmacokinetic (PK) models in the Bayesian forecasting program TCIWorks; and (iii) a Web-based consultancy service. Correlations (r(2)) between C(0) and AUCf and between AUCp and AUCf were examined. Median percentage prediction error (MPPE) and median absolute percentage prediction error (MAPE) were calculated.
resultsCorrelation between C(0) and AUCf was 0.53. Using the 42 LSS equations, correlation between AUCp and AUCf ranged from 0.54 to 0.99. The MPPE and MAPE were <15% for 29 of 42 equations (62%), including five of eight equations based on sampling taken ≤2 h post-dose. Using the PK models in TCIWorks, AUCp derived from only C(0) values showed poor correlation with AUCf (r(2)=0.27-0.54) and unacceptable imprecision (MAPE 17.5-31.6%). In most cases, correlation, bias and imprecision estimates progressively improved with inclusion of a greater number of concentration time points. When concentration measurements at 0, 1, 2 and 4 h post-dose were applied, correlation between AUCp and AUCf ranged from 0.75 to 0.93, and MPPE and MAPE were <15% for all models examined. Using the Web-based consultancy service, correlation between AUCp and AUCf was 0.74, and MPPE and MAPE were 6.6 and 9.6%, respectively.
conclusionsLimited sampling methods better predict tacrolimus exposure compared with C(0) measurement. Several LSSs based on sampling taken 2 h or less post-dose predicted exposure with acceptable bias and imprecision. Generally, Bayesian forecasting methods required inclusion of a concentration measurement from >2 h post-dose to adequately predict exposure.
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