Background: Osimertinib is the cornerstone in the treatment of epidermal growth factor receptor-mutated non-small cell lung cancer (NSCLC). Nonetheless, ±25% of patients experience severe treatment-related toxicities. Currently, it is impossible to identify patients at risk of severe toxicity beforehand. Therefore, we aimed to study the relationship between osimertinib exposure and severe toxicity and to identify a safe toxic limit for a preventive dose reduction. Methods: In this real-life prospective cohort study, patients with NSCLC treated with osimertinib were followed for severe toxicity (grade ⩾3 toxicity, dose reduction or discontinuation, hospital admission, or treatment termination). Blood for pharmacokinetic analyses was withdrawn during every out-patient visit. Primary endpoint was the correlation between osimertinib clearance (exposure) and severe toxicity. Secondary endpoint was the exposure–efficacy relationship, defined as progression-free survival (PFS) and overall survival (OS). Results: In total, 819 samples from 159 patients were included in the analysis. Multivariate competing risk analysis showed osimertinib clearance ( c.q. exposure) to be significantly correlated with severe toxicity (hazard ratio 0.93, 95% CI: 0.88–0.99). An relative operating characteristic curve showed the optimal toxic limit to be 259 ng/mL osimertinib. A 50% dose reduction in the high-exposure group, that is 25.8% of the total cohort, would reduce the risk of severe toxicity by 53%. Osimertinib exposure was not associated with PFS nor OS. Conclusion: Osimertinib exposure is highly correlated with the occurrence of severe toxicity. To optimize tolerability, patients above the toxic limit concentration of 259 ng/mL could benefit from a preventive dose reduction, without fear for diminished effectiveness.

There is a lack of evidence on oral amoxicillin pharmacokinetics and exposure in neonates with possible serious bacterial infection (pSBI). We aimed to describe amoxicillin disposition following oral and intravenous administration and to provide dosing recommendations for preterm and term neonates treated for pSBI. In this pooled-population pharmacokinetic study, 3 datasets were combined for nonlinear mixed-effects modeling. In order to evaluate amoxicillin exposure following oral and intravenous administration, pharmacokinetic profiles for different dosing regimens were simulated with the developed population pharmacokinetic model. A target of 50% time of the free fraction above the minimal inhibitory concentration (MIC) with an MIC_ECOFF of 8 mg/L (to cover gram-negative bacteria such as Escherichia coli) was used. The cohort consisted of 261 (79 oral, 182 intravenous) neonates with a median (range) gestational age of 35.8 weeks (range, 24.9–42.4) and bodyweight of 2.6 kg (range, 0.5–5). A 1-compartment model with first-order absorption best described amoxicillin pharmacokinetics. Clearance (L/h/kg) in neonates born after 30 weeks’ gestation increased with increasing postnatal age (PNA day 10, 1.25-fold; PNA day 20, 1.43-fold vs PNA day 3). Oral bioavailability was 87%. We found that a twice-daily regimen of 50 mg/kg/day is superior to a 3- or 4-times daily schedule in the first week of life for both oral and intravenous administration. This pooled population pharmacokinetic description of intravenous and oral amoxicillin in neonates provides age-specific dosing recommendations. We conclude that neonates treated with oral amoxicillin in the first weeks of life reach adequate amoxicillin levels following a twice-daily dosing regimen. Oral amoxicillin therapy could therefore be an adequate, cost-effective, and more patient-friendly alternative for neonates worldwide.

Background Patients with severe and moderate haemophilia A are treated prophylactically with factor VIII (FVIII) concentrate. Individualization of prophylaxis can be achieved by pharmacokinetic (PK)-guided dosing. Aim In this study, the performance of three PK tools (myPKFiT, Web-Accessible Population Pharmacokinetic Service-Hemophilia [WAPPS] and NONMEM) is compared. Methods In 39 patients, with severe or moderate haemophilia A, blood samples were collected 4, 24 and 48 hours after administration of 50 IU kg⁻¹ of recombinant FVIII (Advate [n = 30] or Kogenate [n = 9]). FVIII dose, FVIII activity and patient characteristics were entered into the three PK tools. Obtained PK parameters and dosing advises were compared. Results myPKFiT provided PK parameters for 24 of 30 patients receiving Advate, whereas WAPPS and NONMEM provided estimates for all patients. Half-life was different among the three methods: medians were 12.6 hours (n = 24), 11.2 hours (n = 30) and 13.0 hours (n = 30) for myPKFiT, WAPPS and NONMEM (p < 0.001), respectively. To maintain a FVIII trough level of 0.01 IU mL⁻¹ after 48 hours, doses for myPKFiT and NONMEM were 15.1 and 11.0 IU kg⁻¹ (p < 0.01, n = 11) and for WAPPS and NONMEM were 9.0 and 8.0 IU kg⁻¹ (p < 0.01, n = 23), respectively. In nine patients receiving Kogenate, WAPPS and NONMEM produced different PK-parameter estimates; half-life was 15.0 and 12.3 hours and time to 0.05 IU mL⁻¹ was 69.2 and 60.8 hours, respectively (p < 0.01, n = 9). However, recommended doses to obtain these levels were not different. Conclusion The three evaluated PK tools produced different PK parameters and doses for recombinant FVIII. Haematologists should be aware that recommended doses may be influenced by the choice of PK tool. T.P. and R.A.A.M. performed data analysis and are the main authors of the article. I.V.M. enrolled patients and performed blood sampling for PK analysis. I.V.M. and T.P. performed data collection. M.H.C., F.W.G.L. and K.F. gave critical guidance during the project. All authors substantially contributed to the writing and critically revised the article, with approval of the final draft. Both authors contributed equally to this article.

Successful antimicrobial therapy depends on achieving optimal drug concentrations within individual patients. Inter-patient variability in pharmacokinetics (PK) and differences in pathogen susceptibility (reflected in the minimum inhibitory concentration, [MIC]) necessitate personalised approaches. Dose individualisation strategies aim to address this challenge, improving treatment outcomes and minimising the risk of toxicity and antimicrobial resistance. Therapeutic drug monitoring (TDM), with the application of population pharmacokinetic (popPK) models, enables model-informed precision dosing (MIPD). PopPK models mathematically describe drug behaviour across populations and can be combined with patient-specific TDM data to optimise dosing regimens. The integration of machine learning (ML) techniques promises to further enhance dose individualisation by identifying complex patterns within extensive datasets. Implementing these approaches involves challenges, including rigorous model selection and validation to ensure suitability for target populations. Understanding the relationship between drug exposure and clinical outcomes is crucial, as is striking a balance between model complexity and clinical usability. Additionally, regulatory compliance, outcome measurement, and practical considerations for software implementation will be addressed. Emerging technologies, such as real-time biosensors, hold the potential for revolutionising TDM by enabling continuous monitoring, immediate and frequent dose adjustments, and near patient testing. The ongoing integration of TDM, advanced modelling techniques, and ML within the evolving digital health care landscape offers a potential for enhancing antimicrobial therapy. Careful attention to model development, validation, and ethical considerations of the applied techniques is paramount for successfully optimising antimicrobial treatment for the individual patient.

Hemophilia A and hemophilia B are hereditary bleeding disorders, caused by a deficiency of clotting factor VIII or clotting factor IX, respectively. To treat and prevent bleedings, patients can administer clotting factor concentrates (hemophilia A and B) or desmopressin (hemophilia A). Both clotting factor concentrates and desmopressin are currently dosed according to the patients' body weight. However, clotting factor concentrates exhibit considerable pharmacokinetic (PK) variability. Therefore, several alternative dosing strategies to individualize dosing of clotting factor concentrates and desmopressin in hemophilia A and B have been proposed. In this study, a review of the existing literature on the individualization of dosing based on PK guidance was performed. In total, 79 articles were included. The methods to individualize dosing were divided into 3 categories: (1) methods using clinical parameters, (2) empirical individual PK-guided methods, and (3) maximum a posteriori (MAP) Bayesian estimation methods. The clinical parameter mainly used to individualize dosing is bleeding phenotype. Dosing based on bleeding phenotype may decrease clotting factor consumption. However, with this method, it is not possible to individualize on-demand dosing during bleeding events or in the perioperative setting. Empirical individual PK-guided methods can be used both for prevention and treatment of bleedings. These methods include dose individualization using a nomogram and individualized in vivo recovery. In the perioperative setting, adjustment of the rate of continuous infusion can be applied to obtain a specific target level. The final category, MAP Bayesian estimation methods, relies on the availability of a population PK model. In total, 22 population PK models describing clotting factor concentrate or desmopressin dosing are currently available in literature. MAP Bayesian estimates can be used to calculate the individualized doses required to achieve or maintain a target level in every setting. The application of PK-guided and pharmacodynamic-guided dosing of clotting factor concentrates and desmopressin seems promising, although further investigation is warranted. Prospective studies analyzing its potential benefit are on the way.