1
|
Alsoud D, Moes DJAR, Wang Z, Soenen R, Layegh Z, Barclay M, Mizuno T, Minichmayr IK, Keizer RJ, Wicha SG, Wolbink G, Lambert J, Vermeire S, de Vries A, Papamichael K, Padullés-Zamora N, Dreesen E. Best Practice for Therapeutic Drug Monitoring of Infliximab: Position Statement from the International Association of Therapeutic Drug Monitoring and Clinical Toxicology. Ther Drug Monit 2024; 46:291-308. [PMID: 38648666 DOI: 10.1097/ftd.0000000000001204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 02/21/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Infliximab, an anti-tumor necrosis factor monoclonal antibody, has revolutionized the pharmacological management of immune-mediated inflammatory diseases (IMIDs). This position statement critically reviews and examines existing data on therapeutic drug monitoring (TDM) of infliximab in patients with IMIDs. It provides a practical guide on implementing TDM in current clinical practices and outlines priority areas for future research. METHODS The endorsing TDM of Biologics and Pharmacometrics Committees of the International Association of TDM and Clinical Toxicology collaborated to create this position statement. RESULTS Accumulating data support the evidence for TDM of infliximab in the treatment of inflammatory bowel diseases, with limited investigation in other IMIDs. A universal approach to TDM may not fully realize the benefits of improving therapeutic outcomes. Patients at risk for increased infliximab clearance, particularly with a proactive strategy, stand to gain the most from TDM. Personalized exposure targets based on therapeutic goals, patient phenotype, and infliximab administration route are recommended. Rapid assays and home sampling strategies offer flexibility for point-of-care TDM. Ongoing studies on model-informed precision dosing in inflammatory bowel disease will help assess the additional value of precision dosing software tools. Patient education and empowerment, and electronic health record-integrated TDM solutions will facilitate routine TDM implementation. Although optimization of therapeutic effectiveness is a primary focus, the cost-reducing potential of TDM also merits consideration. CONCLUSIONS Successful implementation of TDM for infliximab necessitates interdisciplinary collaboration among clinicians, hospital pharmacists, and (quantitative) clinical pharmacologists to ensure an efficient research trajectory.
Collapse
Affiliation(s)
- Dahham Alsoud
- Translational Research in Gastrointestinal Disorders, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Dirk Jan A R Moes
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, the Netherlands
| | - Zhigang Wang
- Clinical Pharmacology and Pharmacotherapy Unit, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Rani Soenen
- Dermatology Research Unit, Ghent University, Ghent, Belgium
- Department of Dermatology, Ghent University Hospital, Ghent, Belgium
| | - Zohra Layegh
- Department of Pathology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Murray Barclay
- Departments of Gastroenterology and Clinical Pharmacology, Christchurch Hospital, Te Whatu Ora Waitaha and University of Otago, Christchurch, New Zealand
| | - Tomoyuki Mizuno
- Division of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Iris K Minichmayr
- Department of Clinical Pharmacology, Medical University Vienna, Vienna, Austria
| | | | - Sebastian G Wicha
- Department of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Hamburg, Germany
| | - Gertjan Wolbink
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center Location Reade, Amsterdam, Netherlands
- Sanquin Research and Landsteiner Laboratory, Department of Immunopathology, Amsterdam UMC, Amsterdam, Netherlands
| | - Jo Lambert
- Dermatology Research Unit, Ghent University, Ghent, Belgium
- Department of Dermatology, Ghent University Hospital, Ghent, Belgium
| | - Séverine Vermeire
- Translational Research in Gastrointestinal Disorders, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
| | - Annick de Vries
- Sanquin Diagnostic Services, Pharma & Biotech Services, Amsterdam, the Netherlands
| | - Konstantinos Papamichael
- Center for Inflammatory Bowel Diseases, Division of Gastroenterology, Beth-Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Núria Padullés-Zamora
- Department of Pharmacy, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain; and
- School of Pharmacy, University of Barcelona, Barcelona, Spain
| | - Erwin Dreesen
- Clinical Pharmacology and Pharmacotherapy Unit, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| |
Collapse
|
2
|
External Evaluation of Population Pharmacokinetic Models and Bayes-Based Dosing of Infliximab. Pharmaceutics 2021; 13:pharmaceutics13081191. [PMID: 34452152 PMCID: PMC8398005 DOI: 10.3390/pharmaceutics13081191] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 07/28/2021] [Accepted: 07/29/2021] [Indexed: 12/29/2022] Open
Abstract
Despite the well-demonstrated efficacy of infliximab in inflammatory diseases, treatment failure remains frequent. Dose adjustment using Bayesian methods has shown in silico its interest in achieving target plasma concentrations. However, most of the published models have not been fully validated in accordance with the recommendations. This study aimed to submit these models to an external evaluation and verify their predictive capabilities. Eight models were selected for external evaluation, carried out on an independent database (409 concentrations from 157 patients). Each model was evaluated based on the following parameters: goodness-of-fit (comparison of predictions to observations), residual error model (population weighted residuals (PWRES), individual weighted residuals (IWRES), and normalized prediction distribution errors (NPDE)), and predictive performances (prediction-corrected visual predictive checks (pcVPC) and Bayesian simulations). The performances observed during this external evaluation varied greatly from one model to another. The eight evaluated models showed a significant bias in population predictions (from -7.19 to 7.38 mg/L). Individual predictions showed acceptable bias and precision for six of the eight models (mean error of -0.74 to -0.29 mg/L and mean percent error of -16.6 to -0.4%). Analysis of NPDE and pcVPC confirmed these results and revealed a problem with the inclusion of several covariates (weight, concomitant immunomodulatory treatment, presence of anti-drug antibodies). This external evaluation showed satisfactory results for some models, notably models A and B, and highlighted several prospects for improving the pharmacokinetic models of infliximab for clinical-biological application.
Collapse
|