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Antimicrobial decision making in intensive care units (ICUs) is challenging.
For an empirical antimicrobial decision strategy it is important to know the differences between local and imported data.
The MIC breakpoint for tylosin (≥20 μg/mL) was based on the Veterinary Antimicrobial Decision Support (VADS) according to a previous study [ 5].
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Therefore, with the aid of increased power of meta-analytic techniques, we sought to expand the previous analyses by including studies published recently, stratifying different strategies to have a more accurate analysis of the influence of different PCT algorithms to guide antimicrobial decisions.
Epidemiological data at the local level is important for antimicrobial decision-making.
The quotes here illustrate the importance of the impact of senior doctors, other than infection specialists, on the antimicrobial prescribing decision process.
Clinical trials represent a vital resource for establishing evidence of safety and efficacy, which are crucial to guiding antimicrobial treatment decisions.
Reviewing predictive value relative to timing of laboratory testing can help clinicians develop locally appropriate antimicrobial duration decision-making guidelines.
This may involve making antimicrobial prescribing decisions that overrule infection specialist advice (Table 2, Q1).
The assay therefore provides rapid and reliable data, which can guide antimicrobial treatment decisions in a timely manner.
There exists a social network within which antimicrobial prescribing decisions are made, and healthcare professionals report awareness of the need to work within this network in their specialties.
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