A5054356758- Antibiotics Pharmacokinetics and Efficacy
- Pneumonia and Respiratory Infections
- Bacterial Infections and Vaccines
- Probability and Statistical Research
- Meta-analysis and systematic reviews
- Cystic Fibrosis Research Advances
- Statistics Education and Methodologies
- Antibiotic Resistance in Bacteria
- Clinical Reasoning and Diagnostic Skills
- Asthma and respiratory diseases
- Nematode management and characterization studies
LMU Klinikum
2022-2024
Ludwig-Maximilians-Universität München
2022-2024
München Klinik
2022
ABSTRACT Meropenem penetration into the cerebrospinal fluid (CSF) is subject to high interindividual variability resulting in uncertain target attainment CSF. Recently, several authors recommended administering meropenem as a continuous infusion (CI) optimize CSF exposure. This study aimed compare concentrations and pharmacokinetics of after intermittent (II) CI. prospective, observational (NCT04426383) included critically ill patients with external ventricular drains who received either II...
Piperacillin (PIP)/tazobactam is a frequently prescribed antibiotic; however, over- or underdosing may contribute to toxicity, therapeutic failure, and development of antimicrobial resistance. An external evaluation 24 published PIP-models demonstrated that model-informed precision dosing (MIPD) can enhance target attainment. Employing various candidate models, this study aimed assess the predictive performance different MIPD-approaches comparing (i) single-model approach, (ii) model...
Background/Objectives: Elexacaftor, tezacaftor, and ivacaftor (ETI) have significantly improved lung function in people with cystic fibrosis (pwCF). Despite exceptional improvements most cases, treatment-related inter-subject variability drug–drug interactions that complicate modulator therapy been reported. Methods: This retrospective analysis presents data on the serum concentration of ETI our pwCF full or reduced dosage from August 2021 to December 2023 via routine therapeutic drug...
Background. Medical students often have problems with Bayesian reasoning situations. Representing statistical information as natural frequencies (instead of probabilities) and visualizing them (e.g., double-trees or net diagrams) leads to higher accuracy in solving these tasks. However, diagrams (which already contain the correct solution task, so that could be read not yet been studied medical education. This study examined influence format (probabilities v. frequencies) visualization...
Einleitung Statistische Informationen spielen in der Medizin bei Diagnosestellung eine wesentliche Rolle. Auch Endokrinologie und Kalzium- Knochenstoffwechselerkrankungen spielt die Kompetenz zu statistischen Beurteilungen zentrale Rolle, da Wertigkeit von Befunden stark davon abhängt, ob es sich um Volkskrankheiten oder Rare Diseases handelt. Dieser Aspekt kann täglichen klinischen Praxis Herausforderung darstellen. Medizinstudenten haben oft Probleme mit Situationen, denen sie Bayes´sche...