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Janković SM, Mirković N, Stojadinović D, Lukić S. Using validated model informed precision dosing for dose adjustment: superior evidence needed for efficacy and safety. Expert Opin Drug Metab Toxicol 2025:1-10. [PMID: 40323636 DOI: 10.1080/17425255.2025.2501128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2025] [Accepted: 04/29/2025] [Indexed: 05/08/2025]
Abstract
INTRODUCTION Modelinformed precision dosing (MIPD) allows determining the optimal dosage regimen and its correction based on the target plasma/serum concentrations of the drug. MIPD software must go through a validation and clinical study of its effectiveness and safety before being used in clinical practice. AREAS COVERED This narrative literature review provides insight into what is known to date about efficacy and safety trials of MIPD concept. Relevant publications were searched for in the PubMed database, without time or language constraints. EXPERT OPINION The application of MIPD in clinical practice logically and theoretically has great potential to improve the treatment of patients by leading to optimal exposure of target tissues to drugs, while achieving full effect and minimizing toxicity. Greater implementation of MIPD in clinical practice is hindered by the fact that the beneficial effects of MIPD on treatment outcomes and reduction of drug toxicity have been proven through clinical studies only for a small number of drugs. It is necessary to conduct well-designed clinical studies of the effects of MIPD, with sufficient statistical power, to prove the benefits of MIPD administration and to justify the costs of implementation in clinical practice.
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Affiliation(s)
| | - Nikola Mirković
- Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | | | - Snežana Lukić
- Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
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van Saet A, Tibboel D. The influence of cardiopulmonary bypass on pediatric pharmacokinetics. Expert Opin Drug Metab Toxicol 2023; 19:333-344. [PMID: 37334571 DOI: 10.1080/17425255.2023.2227556] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 06/16/2023] [Indexed: 06/20/2023]
Abstract
INTRODUCTION Every year thousands of children undergo surgery for congenital heart disease. Cardiac surgery requires the use of cardiopulmonary bypass, which can have unexpected consequences for pharmacokinetic parameters. AREAS COVERED We describe the pathophysiological properties of cardiopulmonary bypass that may influence pharmacokinetic parameters, with a focus on literature published in the last 10 years. We performed a PubMed database search with the keywords 'Cardiopulmonary bypass' AND 'Pediatric' AND 'Pharmacokinetics'. We searched related articles on PubMed and checked the references of articles for relevant studies. EXPERT OPINION Interest in the influence of cardiopulmonary bypass on pharmacokinetics has increased over the last 10 years, especially due to the use of population pharmacokinetic modeling. Unfortunately, study design usually limits the amount of information that can be obtained with sufficient power and the best way to model cardiopulmonary bypass is yet unknown. More information is needed on the pathophysiology of pediatric heart disease and cardiopulmonary bypass. Once adequately validated, PK models should be integrated in the patient electronic database integrating covariates and biomarkers influencing PK, making it possible to predict real-time drug concentrations and guide further clinical management for the individual patient at the bedside.
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Affiliation(s)
- Annewil van Saet
- Department of Anesthesiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Dick Tibboel
- Department of Intensive Care and Pediatric Surgery, Erasmus Medical Center, Rotterdam, The Netherlands
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Kantasiripitak W, Van Daele R, Gijsen M, Ferrante M, Spriet I, Dreesen E. Software Tools for Model-Informed Precision Dosing: How Well Do They Satisfy the Needs? Front Pharmacol 2020; 11:620. [PMID: 32457619 PMCID: PMC7224248 DOI: 10.3389/fphar.2020.00620] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 04/20/2020] [Indexed: 12/11/2022] Open
Abstract
Model-informed precision dosing (MIPD) software tools are used to optimize dosage regimens in individual patients, aiming to achieve drug exposure targets associated with desirable clinical outcomes. Over the last few decades, numerous MIPD software tools have been developed. However, they have still not been widely integrated into clinical practice. This study focuses on identifying the requirements for and evaluating the performance of the currently available MIPD software tools. First, a total of 22 experts in the field of precision dosing completed a web survey to assess the importance (from 0; do not agree at all, to 10; completely agree) of 103 pre-established software tool criteria organized in eight categories: user-friendliness and utilization, user support, computational aspects, population models, quality and validation, output generation, privacy and data security, and cost. Category mean ± pooled standard deviation importance scores ranged from 7.2 ± 2.1 (user-friendliness and utilization) to 8.5 ± 1.8 (privacy and data security). The relative importance score of each criterion within a category was used as a weighting factor in the subsequent evaluation of the software tools. Ten software tools were identified through literature and internet searches: four software tools were provided by companies (DoseMeRx, InsightRX Nova, MwPharm++, and PrecisePK) and six were provided by non-company owners (AutoKinetics, BestDose, ID-ODS, NextDose, TDMx, and Tucuxi). All software tools performed well in all categories, although there were differences in terms of in-built software features, user interface design, the number of drug modules and populations, user support, quality control, and cost. Therefore, the choice for a certain software tool should be made based on these differences and personal preferences. However, there are still improvements to be made in terms of electronic health record integration, standardization of software and model validation strategies, and prospective evidence for the software tools’ clinical and cost benefits.
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Affiliation(s)
- Wannee Kantasiripitak
- Therapeutic and Diagnostic Antibodies Unit, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Ruth Van Daele
- Clinical Pharmacology and Pharmacotherapy Unit, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.,Pharmacy Department, University Hospitals Leuven, Leuven, Belgium
| | - Matthias Gijsen
- Clinical Pharmacology and Pharmacotherapy Unit, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.,Pharmacy Department, University Hospitals Leuven, Leuven, Belgium
| | - Marc Ferrante
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium.,Translational Research Center for Gastrointestinal Disorders, Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
| | - Isabel Spriet
- Clinical Pharmacology and Pharmacotherapy Unit, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.,Pharmacy Department, University Hospitals Leuven, Leuven, Belgium
| | - Erwin Dreesen
- Therapeutic and Diagnostic Antibodies Unit, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.,Clinical Pharmacology and Pharmacotherapy Unit, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
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