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Methodology for the Study of Horizontal Gene Transfer in Staphylococcus aureus
Published on: March 10, 2017
Role of overcrowding in meticillin-resistant Staphylococcus aureus transmission: Bayesian network analysis for a
M Waterhouse1, A Morton, K Mengersen
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia. mary.waterhouse@gmail.com
Abstract:
The transmission of multiple antibiotic-resistant organisms (MROs) in hospitals is affected by many inter-related factors. These include the background prevalence of the organism (burden), hand hygiene, the efficiency of patient screening, the isolation or cohorting of carriers, the quality of hospital cleaning, and bed occupancy. In addition, the prevalence of one MRO may influence the transmission of another by occupying isolation beds, and thus reducing isolation resources for the latter. For example, the overuse of third generation cephalosporin antibiotics can increase extended-spectrum β-lactamase-producing Klebsiella pneumoniae, thus indirectly influencing the transmission of meticillin-resistant Staphylococcus aureus (MRSA). In order to study this complex system of interrelationships, we have employed a Bayesian network. We report results of the first two years of analysis for a single public hospital. We conclude that, within this institution, the association between high bed occupancy and increased transmission of MRSA may be subject to a dynamic multidimensional threshold and tipping point. This may be influenced by other factors such as MRSA burden and whether the high bed occupancy interferes with preparation and cleaning of beds for new patients and with hand hygiene and efforts to isolate or cohort carriers.
Insights
Hospital bed occupancy, antibiotic resistance, and patient care practices significantly impact the spread of multiple antibiotic-resistant organisms (MROs). High bed occupancy may increase methicillin-resistant Staphylococcus aureus (MRSA) transmission, influenced by other factors.
Area of Science:
- Infectious Disease Epidemiology
- Hospital Infection Control
- Computational Biology
Background:
- Multiple antibiotic-resistant organisms (MROs) pose a significant threat in healthcare settings.
- Transmission is influenced by complex, interrelated factors including organism burden, hygiene, screening, isolation, cleaning, and bed occupancy.
- Interactions between different MROs can occur, affecting resource allocation and transmission dynamics.
Purpose of the Study:
- To analyze the complex interrelationships affecting MRO transmission in a hospital.
- To investigate the specific impact of hospital bed occupancy on MRO transmission, particularly methicillin-resistant Staphylococcus aureus (MRSA).
Main Methods:
- Utilized a Bayesian network to model the intricate system of MRO transmission factors.
- Analyzed two years of data from a single public hospital setting.
Main Results:
- The study identified a dynamic, multidimensional threshold and tipping point associated with high hospital bed occupancy and increased MRSA transmission.
- This association appears to be modulated by factors such as MRSA burden and the impact of high occupancy on essential infection control practices.
Conclusions:
- High hospital bed occupancy can significantly influence MRSA transmission, but this relationship is not linear and is subject to complex interactions.
- Effective infection control strategies must consider the interplay of bed occupancy, organism burden, and adherence to hygiene and isolation protocols to mitigate MRO spread.
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