Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review

Using validated model informed precision dosing for dose adjustment: superior evidence needed for efficacy and safety

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.

Exploring Health Care Professionals' Engagement With a Precision Dosing Calculator and Supporting Clinical Information: Insights From an Eye-Tracking and Usability Study

BACKGROUND

Pharmacokinetic-based dosing calculators for individualized drug dosing remain underutilized in clinical practice, often due to poor usability and a lack of user-centered design. Understanding how health care professionals interact with these tools can inform design strategies and enhance usability.

METHODS

Health care professionals wore eye-tracking glasses while using a codesigned vancomycin dosing calculator with supporting clinical information to complete example clinical scenarios. Eye-tracking data were collected for 23 predefined areas of interest, and fixation sequences were analyzed. A Post-Study System Usability Questionnaire was administered to assess the tool's perceived usability.

RESULTS

Eleven pharmacists and three doctors participated in the study. The highest average dwell times were recorded for the pharmacokinetic plot, dosage regimen selection, dosing history, drug concentrations, and the area under the concentration-time curve and dose visualization area. Participants generally viewed patient demographic information first and pharmacokinetic and dosage regimen information last. Considerable heterogeneity was observed among participants' fixation sequences, with frequent eye movements between key areas, particularly between the pharmacokinetic plot and dosage regimen selection, and between dosing history and drug concentrations. Participants expressed a preference for these elements to be positioned close together.

CONCLUSIONS

Understanding how health care professionals interact with decision support systems is essential for developing user-friendly tools that align with clinical workflows. Eye-tracking data provided valuable insights into user engagement patterns with the dosing calculator and clinical information interface. These insights will guide future design strategies to address usability barriers that limit the utilization of dosing calculators in clinical practice and promote the implementation of individualized drug dosing.

Recommended approaches for integration of population pharmacokinetic modelling with precision dosing in clinical practice

Current methods of dose determination have contributed to suboptimal and inequitable health outcomes in underrepresented patient populations. The persistent demand to individualise patient treatment, alongside increasing technological feasibility, is leading to a growing adoption of model-informed precision dosing (MIPD) at point of care. Population pharmacokinetic (popPK) modelling is a technique that supports treatment personalisation by characterising drug exposure in diverse patient groups. This publication addresses this important shift in clinical approach, by collating and summarising recommendations from literature. It seeks to provide standardised guidelines on best practices for the development of popPK models and their use in MIPD software tools, ensuring the safeguarding and optimisation of patient outcomes. Moreover, it consolidates guidance from key regulatory and advisory bodies on MIPD software deployment, as well as technical requirements for electronic health record integration. It also considers the future application and clinical impact of machine learning algorithms in popPK and MIPD. Ultimately, this publication aims to facilitate the incorporation of high-quality precision-dosing solutions into standard clinical workflows, thereby enhancing the effectiveness of individualised dose selection at point of care.

Antibiotic dose optimisation in the critically ill: targets, evidence and future strategies

PURPOSE OF REVIEW

To highlight the recent evidence for antibiotic pharmacokinetics and pharmacodynamics (PK/PD) in enhancing patient outcomes in sepsis and septic shock. We also summarise the limitations of available data and describe future directions for research to support translation of antibiotic dose optimisation to the clinical setting.

RECENT FINDINGS

Sepsis and septic shock are associated with poor outcomes and require antibiotic dose optimisation, mostly due to significantly altered pharmacokinetics. Many studies, including some randomised controlled trials have been conducted to measure the clinical outcome effects of antibiotic dose optimisation interventions including use of therapeutic drug monitoring. Current data support antibiotic dose optimisation for the critically ill. Further investigation is required to evolve more timely and robust precision antibiotic dose optimisation approaches, and to clearly quantify whether any clinical and health-economic benefits support expanded use of this treatment intervention.

SUMMARY

Antibiotic dose optimisation appears to improve outcomes in critically ill patients with sepsis and septic shock, however further research is required to quantify the level of benefit and develop a stronger knowledge of the role of new technologies to facilitate optimised dosing.

Correction: Del Valle-Moreno et al. Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review. Pharmaceutics 2023, 15, 1859

There was an error in the original publication [...].

Exploring clozapine pharmacokinetics in Tunisian schizophrenic patients: A population-based modelling approach investigating the impact of genetic and non-genetic variables

Clozapine is characterized by a large within- and between-patient variability in its pharmacokinetics, attributed to non-genetic and genetic factors. A cross-sectional analysis of clozapine trough concentration (Clz C0) issued from Tunisian schizophrenic patients was collected and analysed using a nonparametric modelling approach. We assessed the impact of demographic covariates (age, weight and sex), patient's habits (smoking status, alcohol and caffeine intake) and the genetic factors (CYP1A2*1C, CYP1A2*1F and CYP2C19*2 polymorphisms) on each pharmacokinetic parameter. An external validation of this pharmacokinetic model using an independent data set was performed. Fit goodness between observed- and individual-predicted data was evaluated using the mean prediction error (% MPE), the mean absolute prediction error (% MAPE) as a measure of bias, and the root mean squared error (% RMSE) as a measure of precision. Sixty-three CLz C0 values issued from 51 schizophrenic patients were assessed in this study and divided into building and validation groups. CYP1A2*1F polymorphism and smoking status were the only covariates significantly associated with clozapine clearance. Precision parameters were as follows: 1.02%, 0.95% and 22.4%, respectively, for % MPE, % MAPE and % RMSE. We developed and validated an accurate pharmacokinetic model able to predict Clz C0 in Tunisian schizophrenic patients using the two parameters CYP1A2*1F polymorphism and smoking.

Exploring the Impact of Model-Informed Precision Dosing on Procalcitonin Concentrations in Critically Ill Patients: A Secondary Analysis of the DOLPHIN Trial

Model-informed precision dosing (MIPD) might be used to optimize antibiotic treatment. Procalcitonin (PCT) is a biomarker for severity of infection and response to antibiotic treatment. The aim of this study was to assess the impact of MIPD on the course of PCT and to investigate the association of PCT with pharmacodynamic target (PDT) attainment in critically ill patients. This is a secondary analysis of the DOLPHIN trial, a multicentre, open-label, randomised controlled trial. Patients with a PCT value available at day 1 (T1), day 3 (T3), or day 5 (T5) after randomisation were included. The primary outcome was the absolute difference in PCT concentration at T1, T3, and T5 between the MIPD and the standard dosing group. In total, 662 PCT concentrations from 351 critically ill patients were analysed. There was no statistically significant difference in PCT concentration between the trial arms at T1, T3, or T5. The median PCT concentration was highest in patients who exceeded 10× PDT at T1 [13.15 ng/mL (IQR 5.43-22.75)]. In 28-day non-survivors and in patients that exceeded PDT at T1, PCT decreased significantly between T1 and T3, but plateaued between T3 and T5. PCT concentrations were not significantly different between patients receiving antibiotic treatment with or without MIPD guidance. The potential of PCT to guide antibiotic dosing merits further investigation.

Population Pharmacokinetic Model of Linezolid and Probability of Target Attainment in Patients with COVID-19-Associated Acute Respiratory Distress Syndrome on Veno-Venous Extracorporeal Membrane Oxygenation-A Step toward Correct Dosing

During veno-venous extracorporeal membrane oxygenation (vv ECMO) therapy, antimicrobial drugs are frequently used, and appropriate dosing is challenging due to there being limited data to support the dosage. Linezolid is effective against multidrug-resistant Gram-positive pathogens frequently isolated in ECMO patients. In total, 53 steady-state linezolid levels were obtained following 600 mg intravenous (IV) injections every 8 h, and these were used to develop a population pharmacokinetic (PopPK) model in patients with COVID-19-associated acute respiratory distress syndrome (CARDS) on vv ECMO. The data were analyzed using a nonlinear mixed-effects modelling approach. Monte Carlo simulation generated 5000 patients' individual PK parameters and corresponding concentration-time profiles using the PopPK model, following the administration of 600 mg/8 h (a higher-than-standard dosing) and 600 mg/12 h (standard). The probabilities of pharmacokinetic/pharmacodynamic (PK/PD) target attainment (PTA) and the cumulative fraction of responses (CFR) for three pathogens were calculated and compared between the two dosing scenarios. Linezolid 600 mg/8 h was predicted to achieve greater than or equal to 85%Tf>MIC in at least 90% of the patients with CARDS on vv ECMO compared to only approximately two thirds of the patients after dosing every 12 h at a minimal inhibitory concentration (MIC) of 2 mg/L. In addition, for the same MIC, fAUC24/MIC ≥ 80 was achieved in almost three times the number of patients following an 8-h versus a 12-h interval. PopPK simulation predicted that a significantly higher proportion of the patients with CARDS on vv ECMO would achieve the PK/PD targets following the 8-h dosing interval compared to standard linezolid dosing. Nevertheless, the safety concern, in particular, for thrombocytopenia, with higher-than-standard linezolid dosage is reasonable, and consequently, monitoring is essential.

Protocol to build a drug-testing pipeline using large populations of Drosophila melanogaster

As a small animal that recapitulates many fundamental aspects of human disease, Drosophila lends itself to probing the biological activity of molecules and drug candidates. Here, we present a protocol to build a drug-testing pipeline in Drosophila. We describe steps for generating synchronous populations of Bicaudal C mutants by genetic crossing and wild-type fly culturing for controlled compound administration and exemplary phenotypic assays. For complete details on the use and execution of this protocol, please refer to Millet-Boureima et al.,1 Millet-Boureima et al.,2 and Gamberi et al.3.