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Fang Z, Zhang H, Guo J, Guo J. Overview of therapeutic drug monitoring and clinical practice. Talanta 2024; 266:124996. [PMID: 37562225 DOI: 10.1016/j.talanta.2023.124996] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/29/2023] [Accepted: 07/25/2023] [Indexed: 08/12/2023]
Abstract
With the rapid development of clinical pharmacy in China, therapeutic drug monitoring (TDM) has become an essential tool for guiding rational clinical drug use and is widely concerned. TDM is a tool that combines pharmacokinetic and pharmacodynamic knowledge to optimize personalized drug therapy, which can improve treatment outcomes, reduce drug-drug toxicity, and avoid the risk of developing drug resistance. To effectively implement TDM, accurate and sophisticated analytical methods are required. By researching the literature published in recent years, we summarize the types of commonly monitored drugs, therapeutic windows, and clinical assays and track the trends and hot spots of therapeutic drug monitoring. The purpose is to provide guidelines for clinical blood drug concentration monitoring, to implement individualized drug delivery programs better, to ensure the rational use of drugs for patients, and to provide a reference for the group to carry out related topics in the future.
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Affiliation(s)
- Zijun Fang
- University of Southwest Petroleum University, College of Mechanical and Electrical Engineering, Chengdu, China
| | - He Zhang
- University of Southwest Petroleum University, College of Mechanical and Electrical Engineering, Chengdu, China
| | - Jiuchuan Guo
- University of Electronic Science and Technology of China, Chengdu, China.
| | - Jinhong Guo
- School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
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Coste G, Chabanne C, Tron C, Lelong B, Verdier MC, Roussel M, Le Gall F, Turlin B, Desille-Dugast M, Flécher E, Laviolle B, Lemaitre F. Blood, Cellular, and Tissular Calcineurin Inhibitors Pharmacokinetic-Pharmacodynamic Relationship in Heart Transplant Recipients: The INTRACAR Study. Ther Drug Monit 2023; 45:229-235. [PMID: 36006706 DOI: 10.1097/ftd.0000000000001025] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 05/10/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND After heart transplantation, calcineurin inhibitors (CNI) (cyclosporin A and tacrolimus) are key immunosuppressive drugs to prevent graft rejection. Whole-blood concentration (C blood )-guided therapeutic drug monitoring (TDM) is systematically performed to improve graft outcomes. However, some patients will still experience graft rejection and/or adverse events despite CNI C blood within the therapeutic range. Other pharmacokinetic parameters, such as the intragraft, or intracellular concentration at the CNI site of action could refine their TDM. Nonetheless, these remain to be explored. The objective of the INTRACAR study was to describe the relationship between whole blood, intragraft, and intracellular CNI concentrations as well as their efficacy in heart transplant recipients (HTR). METHODS In a cohort of HTR, protocol endomyocardial biopsies (EMB) were collected to assess rejection by anatomopathological analysis. Part of the EMB was used to measure the intragraft concentrations of CNI (C EMB ). C blood and the concentration inside peripheral blood mononuclear cells, (C PBMC ), a cellular fraction enriched with lymphocytes, were also monitored. Concentrations in the 3 matrices were compared between patients with and without biopsy-proven acute rejection (BPAR). RESULTS Thirty-four HTR were included, representing nearly 100 pharmacokinetic (PK) samples for each CNI. C blood , C EMB , and C PBMC correlated for both CNI. BPAR was observed in 74 biopsies (39.6%) from 26 patients (76.5%), all except one was of low grade. None of the PK parameters (C blood , C EMB , C PBMC , C EMB/blood , and C PBMC/blood ) was associated with BPAR. CONCLUSIONS In this cohort of well-immunosuppressed patients, no association was observed for any of the PK parameters, including C blood , with the occurrence of BPAR. However, a trend was noticed for the C EMB and C EMB/blood of cyclosporin A. Further studies in higher-risk patients may help optimize the use of C EMB and C PBMC for CNI TDM in HTR.
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Affiliation(s)
- Gwendal Coste
- Irset (Institut de Recherche en Santé, Environnement et Travail)-UMR S 1085, EHESP, Inserm, CHU Rennes
- INSERM, Centre d'Investigation Clinique
- Laboratoire de pharmacologie biologique, Centre Hospitalier Universitaire de Rennes
| | - Céline Chabanne
- Service de chirurgie cardio-thoracique et vasculaire, Centre Hospitalier Universitaire de Rennes
| | - Camille Tron
- Irset (Institut de Recherche en Santé, Environnement et Travail)-UMR S 1085, EHESP, Inserm, CHU Rennes
- INSERM, Centre d'Investigation Clinique
- Laboratoire de pharmacologie biologique, Centre Hospitalier Universitaire de Rennes
| | - Bernard Lelong
- Service de chirurgie cardio-thoracique et vasculaire, Centre Hospitalier Universitaire de Rennes
| | - Marie-Clémence Verdier
- Irset (Institut de Recherche en Santé, Environnement et Travail)-UMR S 1085, EHESP, Inserm, CHU Rennes
- INSERM, Centre d'Investigation Clinique
- Laboratoire de pharmacologie biologique, Centre Hospitalier Universitaire de Rennes
| | - Mikael Roussel
- Laboratoire d'hématologie, Centre Hospitalier Universitaire de Rennes
- Université de Rennes, Établissement Français du Sang (EFS) de Bretagne, Inserm, MICMAC-UMR_S1236
| | - François Le Gall
- Laboratoire d'anatomie et cytologie pathologiques, Centre Hospitalier Universitaire de Rennes
| | - Bruno Turlin
- Laboratoire d'anatomie et cytologie pathologiques, Centre Hospitalier Universitaire de Rennes
- Centre de Ressources Biologiques (CRB) Santé de Rennes BB-0033-00056, Centre Hospitalier Universitaire de Rennes
| | - Mireille Desille-Dugast
- Centre de Ressources Biologiques (CRB) Santé de Rennes BB-0033-00056, Centre Hospitalier Universitaire de Rennes
| | - Erwan Flécher
- INSERM, Centre d'Investigation Clinique
- Service de chirurgie cardio-thoracique et vasculaire, Centre Hospitalier Universitaire de Rennes
- Laboratoire Traitement du Signal et de l'Image (LTSI) unité mixte 1099 INSERM; and
- FHU SUPORT, Rennes, France
| | - Bruno Laviolle
- Irset (Institut de Recherche en Santé, Environnement et Travail)-UMR S 1085, EHESP, Inserm, CHU Rennes
- INSERM, Centre d'Investigation Clinique
- Laboratoire de pharmacologie biologique, Centre Hospitalier Universitaire de Rennes
- FHU SUPORT, Rennes, France
| | - Florian Lemaitre
- Irset (Institut de Recherche en Santé, Environnement et Travail)-UMR S 1085, EHESP, Inserm, CHU Rennes
- INSERM, Centre d'Investigation Clinique
- Laboratoire de pharmacologie biologique, Centre Hospitalier Universitaire de Rennes
- FHU SUPORT, Rennes, France
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Di Meo A, Youkhana S, Khalifeh S, Brinc D. Evaluation of a batched-extraction method for measurement of sirolimus, tacrolimus, and cyclosporine on the Architect i2000SR. Clin Chim Acta 2022; 531:230-236. [PMID: 35390337 DOI: 10.1016/j.cca.2022.03.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Manual extraction of immunosuppressants is required before measurement on the Architect immunoassay analyzer. The individual extraction of samples places clinical laboratory staff at risk for ergonomic injury. We evaluated the analytical performance of a batched extraction method for measuring sirolimus, tacrolimus, and cyclosporine using the Architect i2000SR. METHODS Residual whole blood samples from patients receiving immunosuppressant therapy were used for evaluation. The analytical evaluation included imprecision, linearity, and method comparison. Technologist-to-technologist variation was also assessed. RESULTS Total imprecision ranged from 2.58-3.13% for sirolimus, 2.70-3.77% for tacrolimus, and 7.82-12.41% for cyclosporine. Linearity was verified from 0.44 - 19.49 μg/l for sirolimus, 0.05-26.15 μg/l for tacrolimus, and 0.15-991.55 μg/l for cyclosporine. Deming regression analysis showed slope and intercept were not significant for either technologist-to-technologist comparison or for batched vs. individual processing comparison. Bland-Altman analysis of individual vs. batched processing revealed a mean bias of 1.29% (LLOA: -14.63%, ULOA: 17.21%) for sirolimus, 2.07% (LLOA: -10.87%, ULOA: 15%) for tacrolimus, and -1.56% (LLOA: -20.05%, ULOA: 16.94%) for cyclosporine. The values were not significantly different from the bias and LLOAs observed for technologist-to-technologist comparison. CONCLUSIONS The imprecision and linearity of batched methods met analytical goals. The batched method also correlated well with the individual extraction methods. The ULOA and LLOA for all drugs tested exceeded a TAE or ± 15%. However, similar range of differences was observed between technologists, suggesting that batch processing did not increase or reduce variability due to manual preparation steps.
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Affiliation(s)
- Ashley Di Meo
- Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Sandra Youkhana
- Division of Clinical Biochemistry, Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
| | - Seham Khalifeh
- Division of Clinical Biochemistry, Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
| | - Davor Brinc
- Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada; Division of Clinical Biochemistry, Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada.
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