Announcement of very short and intensive training courses, 3 days per course
Despite its common use for analgesia in neonatal intensive care units, the optimal dosing and safety profile of fentanyl, particularly regarding suspected fentanyl-emerged adverse events (FEAEs), such as hypotension, desaturation, and oliguria, are not well-defined.
This study aimed to develop an optimal therapeutic monitoring and dosing strategy for fentanyl for neonates. A physiologically based pharmacokinetic (PBPK) model for predicting fentanyl pharmacokinetics across various populations, including preterm and term neonates, was developed, and the relationship between predicted fentanyl exposure and FEAE incidence in neonates was assessed.
A PBPK model was developed and validated against the observed values in the literature. The model’s predictive accuracy for fentanyl pharmacokinetics and association with FEAE incidence in an external retrospective cohort of Japanese neonates was evaluated using the predicted concentrations and pharmacokinetic parameters estimated by PBPK simulation.
The PBPK model exhibited reasonable predictive performance for serum fentanyl concentrations in actual neonatal patients (mean error: 9.27% [standard error: 5.06%], root mean squared error: 54.7%). The incidence of any FEAE, particularly oxygen desaturation, was associated with the fentanyl concentration-to-dose ratio, but not with some exposure parameters, such as the area under the curve and maximum concentration. The recommended reduced infusion rate allowed serum fentanyl concentrations to fall within the ranges established by the reported values and our data.
Our PBPK model and proposed dosing strategy may contribute to safer and more effective fentanyl use in neonates.
Background: Rotavirus gastroenteritis (RVGE) remains a leading cause of severe infant diarrhea worldwide, with growing evidence supporting the role of the gut microbiome in modulating the disease. However, the interplay between early-life demographic factors, the gut microbiome, and their combined impact on RVGE clinical severity remains inadequately characterized, particularly in specific geographic populations. Aim: We aimed to investigate how demographic determinants shape gut microbiome composition and function in RVGE and how these features relate to clinical severity. Methods: In our comprehensive case–control study of 165 infants (120 RVGE cases and 45 healthy controls, aged 0–12 months), we utilized 16S rRNA sequencing combined with advanced statistical modeling and machine learning to investigate how demographic factors influence microbiome composition and clinical outcomes. Results: RVGE cases exhibited significantly reduced bacterial diversity (Kruskal–Wallis, Static = 14.85, p < 0.001) and distinct patterns, with community structure most strongly associated with dehydration severity (PERMANOVA; R2 = 0.15, p < 0.001). Substantial taxonomic alterations were identified characterized by depletion of beneficial commensals including Akkermansia (LDA score = 3.8, p < 0.001), Faecalibacterium (Random Forest AUC = 0.82, p < 0.001), and Bifidobacterium (r = −0.42 with breastfeeding, p < 0.001), alongside enrichment of inflammation-associated taxa such as Escherichia-Shigella (WBC; r = 0.49, p < 0.001, and CRP; r = 0.56, p < 0.001), Streptococcus (LDA score = 4.2, p < 0.001), and Staphylococcus. Proteobacteria was the top potential biomarker of severe outcomes (Random Forest AUC = 0.85), with abundance positively correlated with systemic inflammation (CRP: r = 0.51, p = 0.003). Functional predictions revealed increased lipopolysaccharide biosynthesis (ko00540) and reduced butanoate metabolism (ko00650, p < 0.001) in severe disease. Importantly, demographic factors significantly modulated clinical outcomes: cesarean-delivered, formula-fed infants presented the most dysbiotic profiles and experienced 3.2-fold longer hospitalization (95% CI: 1.8–5.6, p < 0.001) than vaginally delivered, breastfed infants did. Conclusions: Collectively, these findings demonstrate that early-life demographic factors potentially shape the gut microbiome composition and function, may influence RVGE severity and recovery trajectories, thus providing candidate biomarkers for risk stratification and identifying targets for microbiota-based interventions.
Announcement of very short and intensive training courses, 3 days per course















