11,437 research outputs found

    The Potential Trajectory of Carbapenem-Resistant Enterobacteriaceae, an Emerging Threat to Health-Care Facilities, and the Impact of the Centers for Disease Control and Prevention Toolkit.

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    Carbapenem-resistant Enterobacteriaceae (CRE), a group of pathogens resistant to most antibiotics and associated with high mortality, are a rising emerging public health threat. Current approaches to infection control and prevention have not been adequate to prevent spread. An important but unproven approach is to have hospitals in a region coordinate surveillance and infection control measures. Using our Regional Healthcare Ecosystem Analyst (RHEA) simulation model and detailed Orange County, California, patient-level data on adult inpatient hospital and nursing home admissions (2011-2012), we simulated the spread of CRE throughout Orange County health-care facilities under 3 scenarios: no specific control measures, facility-level infection control efforts (uncoordinated control measures), and a coordinated regional effort. Aggressive uncoordinated and coordinated approaches were highly similar, averting 2,976 and 2,789 CRE transmission events, respectively (72.2% and 77.0% of transmission events), by year 5. With moderate control measures, coordinated regional control resulted in 21.3% more averted cases (n = 408) than did uncoordinated control at year 5. Our model suggests that without increased infection control approaches, CRE would become endemic in nearly all Orange County health-care facilities within 10 years. While implementing the interventions in the Centers for Disease Control and Prevention's CRE toolkit would not completely stop the spread of CRE, it would cut its spread substantially, by half

    Prevention of infection and disruption of the pathogen transfer chain in elective surgery

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    The COVID-19 pandemic has caused us all to stop our normal activities and consider how we can safely return to caring for our patients. There are many common practices (such as an increased use of personal protective equipment) which we are all familiar with that can be easily incorporated into our daily routines. Other actions, such as cleaning more surfaces with solutions such as dilute povidone iodine or changing the air filtration systems used within operating room theaters, may require more extensive efforts on our behalf. In this article, we have attempted to highlight some of the changes that arthroplasty surgeons may need to instigate when we are able to resume elective joint arthroplasty procedures in an effort to disrupt the chain of pathogen transfer

    Clin Infect Dis

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    Background:CDC recently published Interim Guidance for a Public Health Response to Contain Novel or Targeted Multidrug-resistant Organisms (MDROs). We assessed the impact of implementing the strategy in a U.S. state using a mathematical model.Methods:We used a deterministic compartmental model, parametrized via a novel analysis of Carbapenem-resistant Enterobacteriaceae (CRE) data reported to the National Healthcare Safety Network and patient transfer data from the Center for Medicare & Medicaid Services. The simulations assumed that after the importation of the MDRO and its initial detection by clinical culture at an index hospital, fortnightly prevalence surveys for colonization and additional infection control interventions were implemented at the index facility; similar surveys were then also implemented at those facilities known to be connected most strongly to it as measured by patient transfer data; and, prevalence surveys were discontinued after two consecutive negative surveys.Results:If additional infection control interventions are assumed to lead to a 20% reduction in transmissibility in intervention facilities, prevalent case count in the state 3 years after importation would be reduced by 76% (IQR: 73% 1277%). During the third year, these additional infection control measures would be applied in facilities accounting for 42% (37% 1246%) of inpatient days.Conclusions:CDC guidance for containing MDROs, when used in combination with information on transfer of patients among hospitals, is predicted to be effective, enabling targeted and efficient use of prevention resources during an outbreak response. Even modestly effective infection control measures may lead to a substantial reduction in transmission events.CC999999/ImCDC/Intramural CDC HHS/United States2020-09-28T00:00:00Z30919885PMC67654478401vault:3600

    A unified inter-host and in-host model of antibiotic resistance and infection spread in a hospital ward

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    As the battle continues against hospital-acquired infections and the concurrent rise in antibiotic resistance among many of the major causative pathogens, there is a dire need to conduct controlled experiments, in order to compare proposed control strategies. However, cost, time, and ethical considerations make this evaluation strategy either impractical or impossible to implement with living patients. This paper presents a multi-scale model that offers promise as the basis for a tool to simulate these (and other) controlled experiments. This is a “unified” model in two important ways: (i) It combines inter-host and in-host dynamics into a single model, and (ii) it links two very different modeling approaches - agent-based modeling and differential equations - into a single model. The potential of this model as an instrument to combat antibiotic resistance in hospitals is demonstrated with numerical examples

    Genomic epidemiology of multidrug‐resistant Gram‐negative organisms

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    The emergence and spread of antibiotic‐resistant Gram‐negative bacteria (rGNB) across global healthcare networks presents a significant threat to public health. As the number of effective antibiotics available to treat these resistant organisms dwindles, it is essential that we devise more effective strategies for controlling their proliferation. Recently, whole‐genome sequencing has emerged as a disruptive technology that has transformed our understanding of the evolution and epidemiology of diverse rGNB species, and it has the potential to guide strategies for controlling the evolution and spread of resistance. Here, we review specific areas in which genomics has already made a significant impact, including outbreak investigations, regional epidemiology, clinical diagnostics, resistance evolution, and the study of epidemic lineages. While highlighting early successes, we also point to the next steps needed to translate this technology into strategies to improve public health and clinical medicine.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147016/1/nyas13672.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147016/2/nyas13672_am.pd
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