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Published on: August 30, 2018
Antibiotic Stewardship in Surgical Departments
Irene Kourbeti1, Aikaterini Kamiliou1, Michael Samarkos1
1Department of Internal Medicine, School of Medicine, National and Kapodistrian, University of Athens, 11527 Athens, Greece.
Abstract:
Antimicrobial resistance (AMR) has emerged as one of the leading public health threats of the 21st century. New evidence underscores its significance in patients' morbidity and mortality, length of stay, as well as healthcare costs. Globally, the factors that contribute to antimicrobial resistance include social and economic determinants, healthcare governance, and environmental interactions with impact on humans, plants, and animals. Antimicrobial stewardship (AS) programs have historically overlooked surgical teams as they considered them more difficult to engage. This review aims to summarize the evolution and significance of AS in surgical wards, including the surgical intensive care unit (SICU) and the role of diagnostic stewardship (DS). The contribution of AS team members is presented. The new diagnostic modalities and the new technologies including artificial intelligence (AI) are also reviewed.
Insights
Antimicrobial resistance (AMR) is a major public health crisis. This review highlights antimicrobial stewardship (AS) in surgical settings and the role of diagnostic stewardship (DS) and AI in combating AMR.
Area of Science:
- Public Health
- Infectious Diseases
- Healthcare Management
Background:
- Antimicrobial resistance (AMR) is a significant global threat, increasing patient morbidity, mortality, and healthcare costs.
- Factors contributing to AMR include socioeconomic determinants, healthcare governance, and environmental interactions.
- Antimicrobial stewardship (AS) programs have historically faced challenges engaging surgical teams.
Purpose of the Study:
- To review the evolution and importance of AS in surgical wards, including surgical intensive care units (SICUs).
- To explore the role of diagnostic stewardship (DS) and emerging technologies like artificial intelligence (AI) in managing AMR.
Main Methods:
- Literature review summarizing current evidence on AS in surgical settings.
- Analysis of the contribution of AS team members.
- Review of new diagnostic modalities and technologies, including AI.
Main Results:
- AS programs are crucial for mitigating AMR in surgical patients.
- DS and AI offer promising avenues for improving antimicrobial use and patient outcomes.
- Multidisciplinary collaboration is key to successful AS implementation.
Conclusions:
- Enhanced AS strategies, integrating DS and AI, are essential for surgical wards.
- Addressing AMR requires a comprehensive approach involving all healthcare stakeholders.
- Future research should focus on optimizing AS interventions in diverse surgical populations.
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