Prematurely born neonates require, amongst others, pharmaceutical therapy. Dosing guidelines for these therapies are often based on data from term born neonates or older infants, while these are... Show morePrematurely born neonates require, amongst others, pharmaceutical therapy. Dosing guidelines for these therapies are often based on data from term born neonates or older infants, while these are not necessarily similar to prematurely born neonates. When suboptimal dosing guidelines are applied the neonates are at risk for under- or overdosing. In this thesis the pharmacokinetics and pharmacodynamics of a variety of drugs frequently used in preterm neonates were characterized, ultimately to optimize treatment. Specifically, caffeine, ibuprofen and fluconazole were studied which are drugs to treat apnea of prematurity, to close a patent ductus arteriosus and to treat or prevent infections with Candida in newborns, respectively. These drugs were introduced and used in clinical practice without sufficient knowledge, especially on appropriate dosing for this subpopulation. For caffeine and ibuprofen we found that the clearance rapidly increases with postnatal age, while for fluconazole clearance is better reflected by body weight and serum creatinine. For these drugs dosing guidelines were proposed based on identified covariates for their pharmacokinetics. Ibuprofen therapy was further investigated by examining the course of spontaneous closure of the ductus arteriosus, and evaluating the effects of ibuprofen exposure and patient characteristics simultaneously. Show less
Sepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global... Show moreSepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global healthcare systems. Bacterial infections are the primary cause of sepsis, but the growing prevalence of antimicrobial resistance complicates the effectiveness of antimicrobial treatments. Moreover, limited understanding of the host immune response during sepsis hinders the discovery of valuable biomarkers and drug targets. As such, there is an urgent need to improve the treatment of sepsis. To tackle this challenge, we have concentrated our efforts on optimizing current treatment strategies and on facilitating the discovery of novel host inflammatory response directed therapeutics. In this thesis, we have utilized quantitative pharmacological modeling approaches to assess the adequacy of current dose regimens and to evaluate antibiotic pharmacokinetic variability, thereby optimizing antimicrobial therapies for sepsis. Additionally, our researches had aimed to deepen our understanding of the underlying dynamics of sepsis pathology, enabling the identification of promising biomarkers and therapeutic targets for sepsis. Our work demonstrated how quantitative modeling strategies can support the design of optimized treatment strategies, and how systematic model-based integration of disease mechanisms can help to overcome the translational challenges in sepsis drug development. Show less