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Safety information on diazoxide for pregnant and lactating women with hypoglycemia is limited. In this case report, we assessed diazoxide concentrations in maternal and infant blood, cord blood, and breast milk. We described a 30-year-old pregnant woman diagnosed with hypoglycemia due to nesidioblastosis at 4 months of age. Before becoming pregnant, she was treated with oral diazoxide (75–375 mg). All medications were discontinued after she was discovered to be pregnant. During gestational week 25, diazoxide treatment was resumed at 150–175 mg daily for repeated hypoglycemic episodes. Diazoxide administration was continued in combination with diet treatment until delivery. Glucose levels were well controlled. During gestational week 40, a male infant weighing 3069 g was delivered via spontaneous vaginal delivery with no pregnancy or neonatal complications. Diazoxide concentrations detected in maternal serum at 2.5–11.6 h after oral treatment ranged from 12.4 to 32.7 µg/mL. In cord blood, the diazoxide concentration was 18.5 µg/mL at 7.2 h after the last dose. During lactation, no hypoglycemia or hyperglycemia was observed. The approximate calculated ratio of diazoxide in breast milk and maternal serum was 0.09. The calculated daily infant dose was 0.47 mg/kg/day. The relative infant dose via breast milk ranged from 3.1% to 5.9%. Diazoxide transferred from maternal blood to the fetus across the placenta. It also transferred into breast milk, but there were no harmful effects on the infant. [ABSTRACT FROM AUTHOR]

Background and Objective: High variability in vancomycin exposure in neonates requires advanced individualized dosing regimens. Achieving steady-state trough concentration (C0) and steady-state area-under-curve (AUC0–24) targets is important to optimize treatment. The objective was to evaluate whether machine learning (ML) can be used to predict these treatment targets to calculate optimal individual dosing regimens under intermittent administration conditions. Methods: C0 were retrieved from a large neonatal vancomycin dataset. Individual estimates of AUC0–24 were obtained from Bayesian post hoc estimation. Various ML algorithms were used for model building to C0 and AUC0–24. An external dataset was used for predictive performance evaluation. Results: Before starting treatment, C0 can be predicted a priori using the Catboost-based C0-ML model combined with dosing regimen and nine covariates. External validation results showed a 42.5% improvement in prediction accuracy by using the ML model compared with the population pharmacokinetic model. The virtual trial showed that using the ML optimized dose; 80.3% of the virtual neonates achieved the pharmacodynamic target (C0 in the range of 10–20 mg/L), much higher than the international standard dose (37.7–61.5%). Once therapeutic drug monitoring (TDM) measurements (C0) in patients have been obtained, AUC0–24 can be further predicted using the Catboost-based AUC-ML model combined with C0 and nine covariates. External validation results showed that the AUC-ML model can achieve an prediction accuracy of 80.3%. Conclusion: C0-based and AUC0–24-based ML models were developed accurately and precisely. These can be used for individual dose recommendations of vancomycin in neonates before treatment and dose revision after the first TDM result is obtained, respectively. [ABSTRACT FROM AUTHOR]

Objectives: In the absence of consensus, the present meta-analysis was performed to determine an optimal dosing regimen of vancomycin for neonates.Methods: A 'meta-model' with 4894 concentrations from 1631 neonates was built using NONMEM, and Monte Carlo simulations were performed to design an optimal intermittent infusion, aiming to reach a target AUC0-24 of 400 mg·h/L at steady-state in at least 80% of neonates.Results: A two-compartment model best fitted the data. Current weight, postmenstrual age (PMA) and serum creatinine were the significant covariates for CL. After model validation, simulations showed that a loading dose (25 mg/kg) and a maintenance dose (15 mg/kg q12h if <35 weeks PMA and 15 mg/kg q8h if ≥35 weeks PMA) achieved the AUC0-24 target earlier than a standard 'Blue Book' dosage regimen in >89% of the treated patients.Conclusions: The results of a population meta-analysis of vancomycin data have been used to develop a new dosing regimen for neonatal use and to assist in the design of the model-based, multinational European trial, NeoVanc. [ABSTRACT FROM AUTHOR]

Minitablets have garnered interest as a new paediatric formulation that is easier to swallow than liquid formulations. In Japan, besides the latter, fine granules are frequently used for children. We examined the swallowability of multiple drug-free minitablets and compared it with that of fine granules and liquid formulations in 40 children of two age groups (n = 20 each, aged 6–11 and 12–23 months). We compared the percentage of children who could swallow minitablets without chewing with that of children who could swallow fine granules or liquid formulations without leftover. The children who visited the paediatric department of Showa University Hospital were enrolled. Their caregivers were allowed to choose the administration method. In total, 37 out of 40 caregivers dispersed the fine granules in water. Significantly more children (80%, 95% CI: 56–94%) aged 6–11 months could swallow the minitablets than those who could swallow all the dispersed fine granules and liquid formulations (22%, 95% CI: 6–47% and 35%, 95% CI: 15–59%, respectively). No significant differences were observed in children aged 12–23 months. Hence, minitablets may be easier to swallow than dispersed fine granules and liquid formulations in children aged 6–11 months. [ABSTRACT FROM AUTHOR]