Nosocomial Infection Dynamics in Intensive Care Settings
Summary
Nosocomial infections in intensive care units (ICUs) arise when vulnerable patients acquire pathogens during their stay, often via invasive devices, environmental reservoirs or healthcare personnel. The interplay of host factors—such as immunosuppression, organ support and breaches in skin or mucosal barriers—with microbial traits—biofilm formation, virulence factors and antimicrobial resistance—drives transmission and disease severity. High antibiotic use promotes selection of resistant strains, while patient-to-patient spread occurs through hands of staff and contaminated equipment. Surveillance systems and infection control bundles, including hand hygiene, device care protocols and environmental decontamination, aim to interrupt transmission chains. Recent advances have focused on predictive modelling of infection risk, integration of microbiological and clinical data to guide empirical therapy, and multidisciplinary teamwork to optimise antibiotic choice. The global burden is substantial: prolonged ICU stays, increased mortality and escalating costs underscore the need for coordinated stewardship and rapid response to emerging resistance patterns.
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Nosocomial Infection Dynamics in Intensive Care Settings publication trend
The graph below shows the total number of articles in nosocomial infection dynamics in intensive care settings across all publications each year (not limited to Nature Index journals).
Technical terms
Nosocomial infection: Infection acquired during hospital or ICU stay, not present or incubating at admission.
Healthcare-associated infection (HAI): Infection occurring within a defined period after exposure to any healthcare setting.
Antimicrobial stewardship: Coordinated interventions to optimise antibiotic use, minimise resistance and improve patient outcomes.
Multidrug-resistant organism (MDRO): Pathogen resistant to at least one agent in three or more antimicrobial categories.
Predictive modelling: Use of statistical or machine-learning techniques to estimate individual risk of infection based on clinical and laboratory data.
References
- Impact of a multidisciplinary management team on clinical outcome in ICU patients affected by Gram-negative bloodstream infections: a pre-post quasi-experimental study. Annals of Intensive Care (2024).
- Practical Lessons on Antimicrobial Therapy for Critically Ill Patients. Antibiotics (2024).
- Development and evaluation of a model for predicting the risk of healthcare-associated infections in patients admitted to intensive care units. Frontiers in Public Health (2024).
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