Publications by authors named "W P Rottier"
The antibiotic treatment of periprosthetic joint infections (PJI) is complicated by the presence of biofilm produced by bacteria on the abiotic surface of the implant. Bacteria within the deeper layers of the biofilm become metabolically less active, resulting in antibiotic tolerance due to several mechanisms. This review describes the basic principles of antibiotic treatment in PJI in relation to the behavior of bacteria within the biofilm.
View Article and Find Full Text PDFObjective: To study whether replacement of nosocomial ampicillin-resistant (ARE) clones by vancomycin-resistant (VRE), belonging to the same genetic lineages, increases mortality in patients with bacteremia, and to evaluate whether any such increase is mediated by a delay in appropriate antibiotic therapy.
Design: Retrospective, matched-cohort study.
Setting: The study included 20 Dutch and Danish hospitals from 2009 to 2014.
Objectives There is a global increase in infections caused by Gram-negative bacteria. The majority of research is on bacteremic Gram-negative infections (GNI), leaving a knowledge gap on the burden of non-bacteremic GNI. Our aim is to describe characteristics and determine the burden of bacteremic and non-bacteremic GNI in hospitalized patients in the Netherlands.
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- The study investigates the impact of antibiotic resistance on mortality from Gram-negative infections in the Netherlands, as previous research highlighted its serious consequences globally.
- Researchers analyzed data from eight hospitals between 2013 and 2016, comparing 1954 Gram-negative infections with matched control patients to look for differences in 30-day mortality rates due to antibiotic resistance.
- The findings indicate that antibiotic resistance did not significantly raise the risk of 30-day mortality among infected patients in the Netherlands, contrasting with international studies suggesting higher risks.
Background: The possibility of bloodstream infections caused by third-generation cephalosporin-resistant Enterobacterales (3GC-R-BSI) leads to a trade-off between empiric inappropriate treatment (IAT) and unnecessary carbapenem use (UCU). Accurately predicting 3GC-R-BSI could reduce IAT and UCU. We externally validate 2 previously derived prediction rules for community-onset (CO) and hospital-onset (HO) suspected bloodstream infections.
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