Bacterial Infections in Intensive Care Units: Epidemiological and Microbiological Aspects.
Maddalena CalvoStefania StefaniGiuseppe MigliorisiPublished in: Antibiotics (Basel, Switzerland) (2024)
Intensive care units constitute a critical setting for the management of infections. The patients' fragilities and spread of multidrug-resistant microorganisms lead to relevant difficulties in the patients' care. Recent epidemiological surveys documented the Gram-negative bacteria supremacy among intensive care unit (ICU) infection aetiologies, accounting for numerous multidrug-resistant isolates. Regarding this specific setting, clinical microbiology support holds a crucial role in the definition of diagnostic algorithms. Eventually, the complete patient evaluation requires integrating local epidemiological knowledge into the best practice and the standardization of antimicrobial stewardship programs. Clinical laboratories usually receive respiratory tract and blood samples from ICU patients, which express a significant predisposition to severe infections. Therefore, conventional or rapid diagnostic workflows should be modified depending on patients' urgency and preliminary colonization data. Additionally, it is essential to complete each microbiological report with rapid phenotypic minimum inhibitory concentration (MIC) values and information about resistance markers. Microbiologists also help in the eventual integration of ultimate genome analysis techniques into complicated diagnostic workflows. Herein, we want to emphasize the role of the microbiologist in the decisional process of critical patient management.
Keyphrases
- intensive care unit
- end stage renal disease
- multidrug resistant
- newly diagnosed
- ejection fraction
- chronic kidney disease
- healthcare
- primary care
- public health
- prognostic factors
- escherichia coli
- gene expression
- peritoneal dialysis
- pseudomonas aeruginosa
- mechanical ventilation
- cystic fibrosis
- patient reported outcomes
- quantum dots
- extracorporeal membrane oxygenation
- deep learning
- patient reported
- acute respiratory distress syndrome
- acinetobacter baumannii
- drug induced