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Hansen SGK, Klein K, Nymark A, Andersen L, Gradel KO, Lis-Toender J, Oestergaard C, Chen M, Datcu R, Skov MN, Holm A, Rosenvinge FS. Vancomycin-resistant Enterococcus faecium: impact of ending screening and isolation in a Danish University hospital. J Hosp Infect 2024; 146:82-92. [PMID: 38360093 DOI: 10.1016/j.jhin.2024.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/11/2024] [Accepted: 01/27/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Substantial resources are used in hospitals worldwide to counteract the ever-increasing incidence of vancomycin-resistant and vancomycin-variable Enterococcus faecium (VREfm and VVEfm), but it is important to balance patient safety, infection prevention, and hospital costs. AIM To investigate the impact of ending VREfm/VVEfm screening and isolation at Odense University Hospital (OUH), Denmark, on patient and clinical characteristics, risk of bacteraemia, and mortality of VREfm/VVEfm disease at OUH. The burden of VREfm/VVEfm bacteraemia at OUH and the three collaborative hospitals in the Region of Southern Denmark (RSD) was also investigated. METHODS A retrospective cohort study was conducted including first-time VREfm/VVEfm clinical isolates (index isolates) detected at OUH and collaborative hospitals in the period 2015-2022. The intervention period with screening and isolation was from 2015 to 2021, and the post-intervention period was 2022. Information about clinical isolates was retrieved from microbiological databases. Patient data were obtained from hospital records. FINDINGS At OUH, 436 patients were included in the study, with 285 in the intervention period and 151 in the post-intervention period. Ending screening and isolation was followed by an increased number of index isolates. Besides a change in van genes, only minor non-significant changes were detected in all the other investigated parameters. Mortality within 30 days did not reflect the VREfm/VVEfm-attributable deaths, and in only four cases was VREfm/VVEfm infection the likely cause of death. CONCLUSION Despite an increasing number of index isolates, nothing in the short follow-up period supported a reintroduction of screening and isolation.
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Affiliation(s)
- S G K Hansen
- Department of Clinical Microbiology and Infection Control, Odense University Hospital, Odense, Denmark; Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - K Klein
- Department of Clinical Microbiology and Infection Control, Odense University Hospital, Odense, Denmark; Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - A Nymark
- Department of Clinical Microbiology and Infection Control, Odense University Hospital, Odense, Denmark; Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - L Andersen
- Department of Clinical Microbiology and Infection Control, Odense University Hospital, Odense, Denmark
| | - K O Gradel
- Center for Clinical Epidemiology, Odense University Hospital, Odense, Denmark; Research Unit of Clinical Epidemiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - J Lis-Toender
- Department of Clinical Microbiology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark
| | - C Oestergaard
- Department of Clinical Microbiology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark
| | - M Chen
- Department of Clinical Microbiology, University Hospital of Southern Denmark, Aabenraa, Denmark
| | - R Datcu
- Department of Clinical Microbiology, Esbjerg and Grindsted Hospital, University Hospital of Southern Denmark, Esbjerg, Denmark
| | - M N Skov
- Department of Clinical Microbiology and Infection Control, Odense University Hospital, Odense, Denmark; Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - A Holm
- Department of Clinical Microbiology and Infection Control, Odense University Hospital, Odense, Denmark; Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - F S Rosenvinge
- Department of Clinical Microbiology and Infection Control, Odense University Hospital, Odense, Denmark; Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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2
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Pople D, Kypraios T, Donker T, Stoesser N, Seale AC, George R, Dodgson A, Freeman R, Hope R, Walker AS, Hopkins S, Robotham J. Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting. BMC Med 2023; 21:492. [PMID: 38087343 PMCID: PMC10717398 DOI: 10.1186/s12916-023-03007-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 07/27/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Globally, detections of carbapenemase-producing Enterobacterales (CPE) colonisations and infections are increasing. The spread of these highly resistant bacteria poses a serious threat to public health. However, understanding of CPE transmission and evidence on effectiveness of control measures is severely lacking. This paper provides evidence to inform effective admission screening protocols, which could be important in controlling nosocomial CPE transmission. METHODS CPE transmission within an English hospital setting was simulated with a data-driven individual-based mathematical model. This model was used to evaluate the ability of the 2016 England CPE screening recommendations, and of potential alternative protocols, to identify patients with CPE-colonisation on admission (including those colonised during previous stays or from elsewhere). The model included nosocomial transmission from colonised and infected patients, as well as environmental contamination. Model parameters were estimated using primary data where possible, including estimation of transmission using detailed epidemiological data within a Bayesian framework. Separate models were parameterised to represent hospitals in English areas with low and high CPE risk (based on prevalence). RESULTS The proportion of truly colonised admissions which met the 2016 screening criteria was 43% in low-prevalence and 54% in high-prevalence areas respectively. Selection of CPE carriers for screening was improved in low-prevalence areas by adding readmission as a screening criterion, which doubled how many colonised admissions were selected. A minority of CPE carriers were confirmed as CPE positive during their hospital stay (10 and 14% in low- and high-prevalence areas); switching to a faster screening test pathway with a single-swab test (rather than three swab regimen) increased the overall positive predictive value with negligible reduction in negative predictive value. CONCLUSIONS Using a novel within-hospital CPE transmission model, this study assesses CPE admission screening protocols, across the range of CPE prevalence observed in England. It identifies protocol changes-adding readmissions to screening criteria and a single-swab test pathway-which could detect similar numbers of CPE carriers (or twice as many in low CPE prevalence areas), but faster, and hence with lower demand on pre-emptive infection-control resources. Study findings can inform interventions to control this emerging threat, although further work is required to understand within-hospital transmission sources.
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Affiliation(s)
- Diane Pople
- HCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
| | - Theodore Kypraios
- School of Mathematical Sciences, University Park, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Tjibbe Donker
- University Medical Center Freiburg, Institute for Infection Prevention and Hospital Epidemiology, Breisacher Strasse, 79106, Freiburg im Breisgau, Germany
| | - Nicole Stoesser
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- NIHR Health Protection Research Unit in Antimicrobial Resistance and Healthcare Associated Infections, University of Oxford and UKHSA, Oxford, UK
| | - Anna C Seale
- University of Warwick, Warwick, UK
- London School of Hygiene & Tropical Medicine, London, UK
- UK Health Security Agency, London, UK
| | - Ryan George
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Andrew Dodgson
- UK Health Security Agency, Manchester Public Health Laboratory, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL, UK
| | - Rachel Freeman
- IQVIA, The Point, 37 North Wharf Road, London, W2 1AF, UK
| | - Russell Hope
- HCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK
| | - Ann Sarah Walker
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Susan Hopkins
- NIHR Health Protection Research Unit in Antimicrobial Resistance and Healthcare Associated Infections, University of Oxford and UKHSA, Oxford, UK
- UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK
- Division of Infection and Immunity, UCL, Gower St, London, UK
| | - Julie Robotham
- HCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK
- NIHR Health Protection Research Unit in Antimicrobial Resistance and Healthcare Associated Infections, University of Oxford and UKHSA, Oxford, UK
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3
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Hamerlinck H, Aerssens A, Boelens J, Dehaene A, McMahon M, Messiaen AS, Vandendriessche S, Velghe A, Leroux-Roels I, Verhasselt B. Sanitary installations and wastewater plumbing as reservoir for the long-term circulation and transmission of carbapenemase producing Citrobacter freundii clones in a hospital setting. Antimicrob Resist Infect Control 2023; 12:58. [PMID: 37337245 DOI: 10.1186/s13756-023-01261-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 05/29/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Accumulating evidence shows a role of the hospital wastewater system in the spread of multidrug-resistant organisms, such as carbapenemase producing Enterobacterales (CPE). Several sequential outbreaks of CPE on the geriatric ward of the Ghent University hospital have led to an outbreak investigation. Focusing on OXA-48 producing Citrobacter freundii, the most prevalent species, we aimed to track clonal relatedness using whole genome sequencing (WGS). By exploring transmission routes we wanted to improve understanding and (re)introduce targeted preventive measures. METHODS Environmental screening (toilet water, sink and shower drains) was performed between 2017 and 2021. A retrospective selection was made of 53 Citrobacter freundii screening isolates (30 patients and 23 environmental samples). DNA from frozen bacterial isolates was extracted and prepped for shotgun WGS. Core genome multilocus sequence typing was performed with an in-house developed scheme using 3,004 loci. RESULTS The CPE positivity rate of environmental screening samples was 19.0% (73/385). Highest percentages were found in the shower drain samples (38.2%) and the toilet water samples (25.0%). Sink drain samples showed least CPE positivity (3.3%). The WGS data revealed long-term co-existence of three patient sample derived C. freundii clusters. The biggest cluster (ST22) connects 12 patients and 8 environmental isolates taken between 2018 and 2021 spread across the ward. In an overlapping period, another cluster (ST170) links eight patients and four toilet water isolates connected to the same room. The third C. freundii cluster (ST421) connects two patients hospitalised in the same room but over a period of one and a half year. Additional sampling in 2022 revealed clonal isolates linked to the two largest clusters (ST22, ST170) in the wastewater collection pipes connecting the rooms. CONCLUSIONS Our findings suggest long-term circulation and transmission of carbapenemase producing C. freundii clones in hospital sanitary installations despite surveillance, daily cleaning and intermittent disinfection protocols. We propose a role for the wastewater drainage system in the spread within and between rooms and for the sanitary installations in the indirect transmission via bioaerosol plumes. To tackle this problem, a multidisciplinary approach is necessary including careful design and maintenance of the plumbing system.
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Affiliation(s)
- Hannelore Hamerlinck
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
| | - Annelies Aerssens
- Department of Infection Control, Ghent University Hospital, Ghent, Belgium
| | - Jerina Boelens
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Andrea Dehaene
- Department of Infection Control, Ghent University Hospital, Ghent, Belgium
| | - Michael McMahon
- Department of Infection Control, Ghent University Hospital, Ghent, Belgium
| | | | | | - Anja Velghe
- Department of Geriatrics, Ghent University Hospital, Ghent, Belgium
| | - Isabel Leroux-Roels
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Infection Control, Ghent University Hospital, Ghent, Belgium
| | - Bruno Verhasselt
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
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4
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Aldali HJ, Khan A, Alshehri AA, Aldali JA, Meo SA, Hindi A, Elsokkary EM. Hospital-Acquired Infections Caused by Carbapenem-Resistant Enterobacteriaceae: An Observational Study. Microorganisms 2023; 11:1595. [PMID: 37375097 DOI: 10.3390/microorganisms11061595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
Worldwide, hospital-acquired infections (HAIs) are continuously rising within healthcare settings, leading to high mortality and morbidity rates. Many hospitals have reported the spread of carbapenemases globally, specifically within the E. coli and K. pneumoniae species. This study was aimed at analyzing the state of hospital-acquired, carbapenem-resistant E. coli and K. pneumoniae in the United Kingdom between 2009 and 2021. Moreover, the study analyzed the most efficacious approaches to patient management for controlling the carbapenem-resistant Enterobacteriaceae (CRE) spread. Initially, 1094 articles were identified as relevant for screening, and among them, 49 papers were eligible for full-text screening, with a total of 14 articles meeting the inclusion criteria. The information was recorded from published articles through PubMed, the Web of Science, Scopus, Science Direct, and the Cochrane library and was used to search for hospital-acquired carbapenem-resistant E. coli and K pneumoniae in the UK between 2009 and 2021, in order to evaluate the spread of CRE in hospitals. The total number of carbapenem-resistant E. coli was 1083 and this was 2053 for carbapenem-resistant K. pneumoniae in more than 63 UK hospitals. KPC was the dominant carbapenemase produced by K. pneumoniae. The results showed that the treatment options considered depended on the type of carbapenemase produced; K. pneumoniae showed more resistance to a treatment options, i.e., Colistin, than the other carbapenemase. The current state of the UK is at minimal risk for a CRE outbreak; however, appropriate treatment and infection control measures are highly required to prevent this CRE spread at the regional and global levels. The present study findings have an important message for physicians, healthcare workers, and policymakers about hospital-acquired carbapenem-resistant E. coli and K. pneumoniae spread and approaches to patient management.
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Affiliation(s)
- Hamzah J Aldali
- Cellular and Molecular Medicine, College of Biomedical Science, University of Bristol, Bristol BS8 1DT, UK
- School of Life Sciences, Faculty of Health & Life Sciences, Coventry University, Coventry CV2 2DX, UK
| | - Azra Khan
- School of Life Sciences, Faculty of Health & Life Sciences, Coventry University, Coventry CV2 2DX, UK
| | - Abdullah A Alshehri
- Department of Clinical Pharmacy, College of Pharmacy, Taif University, Al Huwaya, Taif 26571, Saudi Arabia
| | - Jehad A Aldali
- Department of Pathology, College of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh 13317, Saudi Arabia
| | - Sultan Ayoub Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia
| | - Ali Hindi
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK
| | - Emadeldin M Elsokkary
- Department of Psychology, Imam Mohammad Ibn Saud Islamic University, Riyadh 13317, Saudi Arabia
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5
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Olesen SW. Uses of mathematical modeling to estimate the impact of mass drug administration of antibiotics on antimicrobial resistance within and between communities. Infect Dis Poverty 2022; 11:75. [PMID: 35773748 PMCID: PMC9245243 DOI: 10.1186/s40249-022-00997-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 06/09/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Antibiotics are a key part of modern healthcare, but their use has downsides, including selecting for antibiotic resistance, both in the individuals treated with antibiotics and in the community at large. When evaluating the benefits and costs of mass administration of azithromycin to reduce childhood mortality, effects of antibiotic use on antibiotic resistance are important but difficult to measure, especially when evaluating resistance that "spills over" from antibiotic-treated individuals to other members of their community. The aim of this scoping review was to identify how the existing literature on antibiotic resistance modeling could be better leveraged to understand the effect of mass drug administration (MDA) on antibiotic resistance. MAIN TEXT Mathematical models of antibiotic use and resistance may be useful for estimating the expected effects of different MDA implementations on different populations, as well as aiding interpretation of existing data and guiding future experimental design. Here, strengths and limitations of models of antibiotic resistance are reviewed, and possible applications of those models in the context of mass drug administration with azithromycin are discussed. CONCLUSIONS Statistical models of antibiotic use and resistance may provide robust and relevant estimates of the possible effects of MDA on resistance. Mechanistic models of resistance, while able to more precisely estimate the effects of different implementations of MDA on resistance, may require more data from MDA trials to be accurately parameterized.
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Affiliation(s)
- Scott W Olesen
- Department of Immunology and Infectious Diseases, Harvard Chan School, Boston, MA, USA.
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6
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Hopkins KL, Ellaby N, Ellington MJ, Doumith M, Mustafa N, Meunier D, Woodford N. Diversity of carbapenemase-producing Enterobacterales in England as revealed by whole-genome sequencing of isolates referred to a national reference laboratory over a 30-month period. J Med Microbiol 2022; 71. [PMID: 35604946 DOI: 10.1099/jmm.0.001518] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Introduction. Increasing numbers of carbapenemase-producing Enterobacterales (CPE), which can be challenging to treat, have been referred to the national reference laboratory in England since the early 2000s.Gap Statement/Aim. Previous studies on CPE in the UK have focussed on localized outbreaks. We applied whole-genome sequencing (WGS) to isolates referred to the national reference laboratory over 30 months to inform our understanding of CPE epidemiology in England.Methodology. The first confirmed CPE from each new patient referred by an English diagnostic laboratory between 1 January 2014 and 30 June 2016 was sequenced on an Illumina HiSeq 2500. Multiple isolates from the same patient were included from either different species or the same species with different carbapenemase genes. The data were analysed using an in-house bioinformatics pipeline that determines species identification, multi-locus sequence typing (MLST) profile and antimicrobial resistance gene content.Results. A total of 2658 non-duplicate CPE were sequenced amongst which three host organisms belonging to diverse sequence types (STs) predominated: Klebsiella pneumoniae (1380/2658, 51.9 %; 177 STs), Escherichia coli (723/2658, 27.2 %; 133 STs) and Enterobacter cloacae (294/2658, 11.1 %; 88 STs). Thirty different carbapenemase gene variants were identified, although bla OXA-48-like (1122/2658, 42.2%), bla NDM (692/2658, 26.0 %), bla KPC (571/2658, 21.5 %), bla VIM (100/2658, 3.8 %) and bla IMP (33/2658, 1.2 %) predominated. ST/carbapenemase gene pairings represented widely distributed high-risk clones or clusters at a regional or hospital level.Conclusion. CPE referred to the national reference laboratory are diverse, suggesting multiple introductions to England and a role for horizontal transfer of carbapenemase genes in English CPE epidemiology.
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Affiliation(s)
- Katie L Hopkins
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Reference Services Division, UK Health Security Agency, London, UK.,Healthcare Associated Infections, Fungal, Antimicrobial Resistance, Antimicrobial Usage and Sepsis Division, UK Health Security Agency, London, UK
| | - Nicholas Ellaby
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Reference Services Division, UK Health Security Agency, London, UK.,Healthcare Associated Infections, Fungal, Antimicrobial Resistance, Antimicrobial Usage and Sepsis Division, UK Health Security Agency, London, UK
| | - Matthew J Ellington
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Reference Services Division, UK Health Security Agency, London, UK
| | - Michel Doumith
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Reference Services Division, UK Health Security Agency, London, UK
| | - Nazim Mustafa
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Reference Services Division, UK Health Security Agency, London, UK
| | - Danièle Meunier
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Reference Services Division, UK Health Security Agency, London, UK.,Healthcare Associated Infections, Fungal, Antimicrobial Resistance, Antimicrobial Usage and Sepsis Division, UK Health Security Agency, London, UK
| | - Neil Woodford
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Reference Services Division, UK Health Security Agency, London, UK
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7
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Lai CKC, Ng RWY, Leung SSY, Hui M, Ip M. Overcoming the rising incidence and evolving mechanisms of antibiotic resistance by novel drug delivery approaches - An overview. Adv Drug Deliv Rev 2022; 181:114078. [PMID: 34896131 DOI: 10.1016/j.addr.2021.114078] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 11/29/2021] [Accepted: 12/03/2021] [Indexed: 12/14/2022]
Abstract
Antimicrobial resistance is a normal evolutionary process for microorganisms. Antibiotics exerted accelerated selective pressure that hasten bacterial resistance through mutation, and acquisition external genes. These genes often carry multiple antibiotic resistant determinants allowing the recipient microbe an instant "super-bug" status. The extent of Antimicrobial Resistance (AMR) has reached a level of global crisis, existing antimicrobials are no long effective in treating infections caused by AMR pathogens. The great majority of clinically available antimicrobial agents are administered through oral and intra-venous routes. Overcoming antibacterial resistance by novel drug delivery approach offered new hopes, particularly in the treatment of AMR pathogens in sites less assessible through systemic circulation such as the lung and skin. In the current review, we will revisit the mechanism and incidence of important AMR pathogens. Finally, we will discuss novel drug delivery approaches including novel local antibiotic delivery systems, hybrid antibiotics, and nanoparticle-based antibiotic delivery systems.
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Affiliation(s)
- Christopher K C Lai
- Department of Microbiology, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong Special Administrative Region.
| | - Rita W Y Ng
- Department of Microbiology, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong Special Administrative Region.
| | - Sharon S Y Leung
- School of Pharmacy, The Chinese University of Hong Kong, New Territories, Hong Kong Special Administrative Region.
| | - Mamie Hui
- Department of Microbiology, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong Special Administrative Region.
| | - Margaret Ip
- Department of Microbiology, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong Special Administrative Region.
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8
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Smith DR, Temime L, Opatowski L. Microbiome-pathogen interactions drive epidemiological dynamics of antibiotic resistance: A modeling study applied to nosocomial pathogen control. eLife 2021; 10:68764. [PMID: 34517942 PMCID: PMC8560094 DOI: 10.7554/elife.68764] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 08/31/2021] [Indexed: 12/16/2022] Open
Abstract
The human microbiome can protect against colonization with pathogenic antibiotic-resistant bacteria (ARB), but its impacts on the spread of antibiotic resistance are poorly understood. We propose a mathematical modeling framework for ARB epidemiology formalizing within-host ARB-microbiome competition, and impacts of antibiotic consumption on microbiome function. Applied to the healthcare setting, we demonstrate a trade-off whereby antibiotics simultaneously clear bacterial pathogens and increase host susceptibility to their colonization, and compare this framework with a traditional strain-based approach. At the population level, microbiome interactions drive ARB incidence, but not resistance rates, reflecting distinct epidemiological relevance of different forces of competition. Simulating a range of public health interventions (contact precautions, antibiotic stewardship, microbiome recovery therapy) and pathogens (Clostridioides difficile, methicillin-resistant Staphylococcus aureus, multidrug-resistant Enterobacteriaceae) highlights how species-specific within-host ecological interactions drive intervention efficacy. We find limited impact of contact precautions for Enterobacteriaceae prevention, and a promising role for microbiome-targeted interventions to limit ARB spread.
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Affiliation(s)
- David Rm Smith
- Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), Paris, France.,Université Paris-Saclay, UVSQ, Inserm, CESP, Anti-infective evasion and pharmacoepidemiology team, Montigny-Le-Bretonneux, France.,Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire national des arts et métiers, Paris, France
| | - Laura Temime
- Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire national des arts et métiers, Paris, France.,PACRI unit, Institut Pasteur, Conservatoire national des arts et métiers, Paris, France
| | - Lulla Opatowski
- Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), Paris, France.,Université Paris-Saclay, UVSQ, Inserm, CESP, Anti-infective evasion and pharmacoepidemiology team, Montigny-Le-Bretonneux, France
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9
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Ellington MJ, Davies F, Jauneikaite E, Hopkins KL, Turton JF, Adams G, Pavlu J, Innes AJ, Eades C, Brannigan ET, Findlay J, White L, Bolt F, Kadhani T, Chow Y, Patel B, Mookerjee S, Otter JA, Sriskandan S, Woodford N, Holmes A. A Multispecies Cluster of GES-5 Carbapenemase-Producing Enterobacterales Linked by a Geographically Disseminated Plasmid. Clin Infect Dis 2021; 71:2553-2560. [PMID: 31746994 PMCID: PMC7744980 DOI: 10.1093/cid/ciz1130] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 11/18/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Early and accurate treatment of infections due to carbapenem-resistant organisms is facilitated by rapid diagnostics, but rare resistance mechanisms can compromise detection. One year after a Guiana Extended-Spectrum (GES)-5 carbapenemase-positive Klebsiella oxytoca infection was identified by whole-genome sequencing (WGS; later found to be part of a cluster of 3 cases), a cluster of 11 patients with GES-5-positive K. oxytoca was identified over 18 weeks in the same hospital. METHODS Bacteria were identified by matrix-assisted laser desorption/ionization-time of flight mass spectrometry, antimicrobial susceptibility testing followed European Committee on Antimicrobial Susceptibility Testing guidelines. Ertapenem-resistant isolates were referred to Public Health England for characterization using polymerase chain reaction (PCR) detection of GES, pulsed-field gel electrophoresis (PFGE), and WGS for the second cluster. RESULTS The identification of the first GES-5 K. oxytoca isolate was delayed, being identified by WGS. Implementation of a GES-gene PCR informed the occurrence of the second cluster in real time. In contrast to PFGE, WGS phylogenetic analysis refuted an epidemiological link between the 2 clusters; it also suggested a cascade of patient-to-patient transmission in the later cluster. A novel GES-5-encoding plasmid was present in K. oxytoca, Escherichia coli, and Enterobacter cloacae isolates from unlinked patients within the same hospital group and in human and wastewater isolates from 3 hospitals elsewhere in the United Kingdom. CONCLUSIONS Genomic sequencing revolutionized the epidemiological understanding of the clusters; it also underlined the risk of covert plasmid propagation in healthcare settings and revealed the national distribution of the resistance-encoding plasmid. Sequencing results also informed and led to the ongoing use of enhanced diagnostic tests for detecting carbapenemases locally and nationally.
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Affiliation(s)
- Matthew J Ellington
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom.,Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, National Infections Service, Public Health England, London, United Kingdom
| | - Frances Davies
- Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Elita Jauneikaite
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom.,Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
| | - Katie L Hopkins
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom.,Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, National Infections Service, Public Health England, London, United Kingdom
| | - Jane F Turton
- Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, National Infections Service, Public Health England, London, United Kingdom
| | - George Adams
- Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Jiri Pavlu
- Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Andrew J Innes
- Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Christopher Eades
- Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Eimear T Brannigan
- Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Jacqueline Findlay
- Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, National Infections Service, Public Health England, London, United Kingdom
| | - Leila White
- Microbiology, Royal Preston Hospital, Lancashire Teaching Hospitals National Health Service Foundation Trust, Preston, United Kingdom
| | - Frances Bolt
- Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Tokozani Kadhani
- Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Yimmy Chow
- North West London Health Protection Team, Public Health England, London, United Kingdom
| | - Bharat Patel
- Public Health Laboratory London, National Infections Service, Public Health England, London, United Kingdom
| | - Siddharth Mookerjee
- Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Jonathan A Otter
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom.,Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Shiranee Sriskandan
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Neil Woodford
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom.,Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, National Infections Service, Public Health England, London, United Kingdom
| | - Alison Holmes
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom.,Imperial College Healthcare National Health Service Trust, London, United Kingdom
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10
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Interfacility patient sharing and Clostridioides difficile infection incidence in the Ontario hospital system: A 13-year cohort study. Infect Control Hosp Epidemiol 2021; 41:154-160. [PMID: 31762432 DOI: 10.1017/ice.2019.283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Interfacility patient movement plays an important role in the dissemination of antimicrobial-resistant organisms throughout healthcare systems. We evaluated how 3 alternative measures of interfacility patient sharing were associated with C. difficile infection incidence in Ontario acute-care facilities. DESIGN The cohort included adult acute-care facility stays of ≥3 days between April 2003 and March 2016. We measured 3 facility-level metrics of patient sharing: general patient importation, incidence-weighted patient importation, and C. difficile case importation. Each of the 3 patient-sharing metrics were examined against the incidence of C. difficile infection in the facility per 1,000 stays, using Poisson regression models. RESULTS The analyzed cohort included 6.70 million stays at risk of C. difficile infection across 120 facilities. Over the 13-year period, we included 62,189 new cases of healthcare-associated CDI (incidence, 9.3 per 1,000 stays). After adjustment for facility characteristics, general importation was not strongly associated with C. difficile infection incidence (risk ratio [RR] per doubling, 1.10; 95% confidence interval [CI], 0.97-1.24; proportional change in variance [PCV], -2.0%). Incidence-weighted (RR per doubling, 1.18; 95% CI, 1.06-1.30; PCV, -8.4%) and C. difficile case importation (RR per doubling, 1.43; 95% CI, 1.29-1.58; PCV, -30.1%) were strongly associated with C. difficile infection incidence. CONCLUSIONS In this 13-year study of acute-care facilities in Ontario, interfacility variation in C. difficile infection incidence was associated with importation of patients from other high-incidence acute-care facilities or specifically of patients with a recent history of C. difficile infection. Regional infection control strategies should consider the potential impact of importation of patients at high risk of C. difficile shedding from outside facilities.
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11
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Nekkab N, Crépey P, Astagneau P, Opatowski L, Temime L. Assessing the role of inter-facility patient transfer in the spread of carbapenemase-producing Enterobacteriaceae: the case of France between 2012 and 2015. Sci Rep 2020; 10:14910. [PMID: 32913244 PMCID: PMC7483561 DOI: 10.1038/s41598-020-71212-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 07/31/2020] [Indexed: 11/09/2022] Open
Abstract
The spread of carbapenemase-producing Enterobacteriaceae (CPE) in healthcare settings is a major public health threat that has been associated with cross-border and local patient transfers between healthcare facilities. Since the impact of transfers on spread may vary, our study aimed to assess the contribution of a patient transfer network on CPE incidence and spread at a countrywide level, with a case study of France from 2012 to 2015. Our results suggest a transition in 2013 from a CPE epidemic sustained by internationally imported episodes to an epidemic sustained by local transmission events through patient transfers. Incident episodes tend to occur within close spatial distance of their potential infector. We also observe an increasing frequency of multiple spreading events, originating from a limited number of regional hubs. Consequently, coordinated prevention and infection control strategies should focus on transfers of carriers of CPE to reduce regional and inter-regional transmission.
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Affiliation(s)
- Narimane Nekkab
- Laboratoire MESuRS, Conservatoire National Des Arts Et Métiers, Paris, France. .,Unité PACRI, Institut Pasteur, Conservatoire National Des Arts Et Métiers, Paris, France. .,EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins) - EA 7449, University Rennes, Rennes, France.
| | - Pascal Crépey
- EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins) - EA 7449, University Rennes, Rennes, France
| | - Pascal Astagneau
- Centre régional de prévention Des Infections associées Aux Soins (CPias), Paris, France.,INSERM, Institut Pierre Louis D'Epidémiologie Et de Santé Publique, Sorbonne Université, 75013, Paris, France
| | - Lulla Opatowski
- UMR 1181, «Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases» (B2PHI), University Versailles Saint Quentin en Yvelines, Saint Quentin en Yvelines, France.,Pharmacoepidemiology and Infectious Diseases Unit, Institut Pasteur, Paris, France.,Inserm UMR 1181 (B2PHI), Paris, France
| | - Laura Temime
- Laboratoire MESuRS, Conservatoire National Des Arts Et Métiers, Paris, France.,Unité PACRI, Institut Pasteur, Conservatoire National Des Arts Et Métiers, Paris, France
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12
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Otter JA, Mookerjee S, Davies F, Bolt F, Dyakova E, Shersing Y, Boonyasiri A, Weiße AY, Gilchrist M, Galletly TJ, Brannigan ET, Holmes AH. Detecting carbapenemase-producing Enterobacterales (CPE): an evaluation of an enhanced CPE infection control and screening programme in acute care. J Antimicrob Chemother 2020; 75:2670-2676. [DOI: 10.1093/jac/dkaa192] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 03/03/2020] [Accepted: 03/05/2020] [Indexed: 12/14/2022] Open
Abstract
Abstract
Objectives
The transmission of carbapenemase-producing Enterobacterales (CPE) poses an increasing healthcare challenge. A range of infection prevention activities, including screening and contact precautions, are recommended by international and national guidelines. We evaluated the introduction of an enhanced screening programme in a multisite London hospital group.
Methods
In June 2015, an enhanced CPE policy was launched in response to a local rise in CPE detection. This increased infection prevention measures beyond the national recommendations, with enhanced admission screening, contact tracing and environmental disinfection, improved laboratory protocols and staff/patient education. We report the CPE incidence and trends of CPE in screening and clinical cultures and the adoption of enhanced CPE screening. All non-duplicate CPE isolates identified between April 2014 and March 2018 were included.
Results
The number of CPE screens increased progressively, from 4530 in July 2015 to 10 589 in March 2018. CPE detection increased from 18 patients in July 2015 (1.0 per 1000 admissions) to 50 patients in March 2018 (2.7 per 1000 admissions). The proportion of CPE-positive screening cultures remained at approximately 0.4% throughout, suggesting that whilst the CPE carriage rate was unchanged, carrier identification increased. Also, 123 patients were identified through positive CPE clinical cultures over the study period; there was no significant change in the rate of CPE from clinical cultures per 1000 admissions (P = 0.07).
Conclusions
Our findings suggest that whilst the enhanced screening programme identified a previously undetected reservoir of CPE colonization in our patient population, the rate of detection of CPE in clinical cultures did not increase.
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Affiliation(s)
- Jonathan A Otter
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London W12 0NN, UK
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
| | - Siddharth Mookerjee
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London W12 0NN, UK
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
| | - Frances Davies
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London W12 0NN, UK
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
| | - Frances Bolt
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London W12 0NN, UK
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
| | - Eleonora Dyakova
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
| | - Yeeshika Shersing
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
| | - Adhiratha Boonyasiri
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London W12 0NN, UK
| | - Andrea Y Weiße
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London W12 0NN, UK
| | - Mark Gilchrist
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
| | - Tracey J Galletly
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
| | - Eimear T Brannigan
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London W12 0NN, UK
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
| | - Alison H Holmes
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London W12 0NN, UK
- Imperial College Healthcare NHS Trust, St Mary’s Hospital, Praed Street, London W2 1NY, UK
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13
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Genomic Epidemiology of Complex, Multispecies, Plasmid-Borne bla KPC Carbapenemase in Enterobacterales in the United Kingdom from 2009 to 2014. Antimicrob Agents Chemother 2020; 64:AAC.02244-19. [PMID: 32094139 DOI: 10.1128/aac.02244-19] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 02/21/2020] [Indexed: 01/29/2023] Open
Abstract
Carbapenem resistance in Enterobacterales is a public health threat. Klebsiella pneumoniae carbapenemase (encoded by alleles of the bla KPC family) is one of the most common transmissible carbapenem resistance mechanisms worldwide. The dissemination of bla KPC historically has been associated with distinct K. pneumoniae lineages (clonal group 258 [CG258]), a particular plasmid family (pKpQIL), and a composite transposon (Tn4401). In the United Kingdom, bla KPC has represented a large-scale, persistent management challenge for some hospitals, particularly in North West England. The dissemination of bla KPC has evolved to be polyclonal and polyspecies, but the genetic mechanisms underpinning this evolution have not been elucidated in detail; this study used short-read whole-genome sequencing of 604 bla KPC-positive isolates (Illumina) and long-read assembly (PacBio)/polishing (Illumina) of 21 isolates for characterization. We observed the dissemination of bla KPC (predominantly bla KPC-2; 573/604 [95%] isolates) across eight species and more than 100 known sequence types. Although there was some variation at the transposon level (mostly Tn4401a, 584/604 [97%] isolates; predominantly with ATTGA-ATTGA target site duplications, 465/604 [77%] isolates), bla KPC spread appears to have been supported by highly fluid, modular exchange of larger genetic segments among plasmid populations dominated by IncFIB (580/604 isolates), IncFII (545/604 isolates), and IncR (252/604 isolates) replicons. The subset of reconstructed plasmid sequences (21 isolates, 77 plasmids) also highlighted modular exchange among non-bla KPC and bla KPC plasmids and the common presence of multiple replicons within bla KPC plasmid structures (>60%). The substantial genomic plasticity observed has important implications for our understanding of the epidemiology of transmissible carbapenem resistance in Enterobacterales for the implementation of adequate surveillance approaches and for control.
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14
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Abstract
PURPOSE OF REVIEW This review provides an overview of gastrointestinal tract colonization with carbapenemase-producing Enterobacteriaceae (CPE), including risk factors for colonization, determinants for duration of colonization, and whether patients can decolonize, either spontaneously or via targeted interventions. RECENT FINDINGS CPE colonization is disseminating globally with increasing numbers of carbapenemases being identified in increasing patient cohorts. Numerous risk factors including repeated healthcare contact, patient co-morbidities and international travel have all been linked to increased rates of colonization. Duration of colonization has been investigated in various healthcare settings and ranges many months or even years. Although new methods for expediting decolonization are being investigated, including faecal microbiota transplantation, high quality evidence of impact is lacking. SUMMARY Current evidence indicates that CPE colonization usually persists throughout the duration of most hospital admissions, although the majority of patients will subsequently spontaneously decolonize. Difficulties remain in determining the point at which patients can be considered decolonized because of the lack acceptable criteria for defining eradication. This has significance implications for infection prevention and control measures during the initial and subsequent hospital admissions. Strategies to reduce the healthcare burden of CPE colonization continue to rely predominantly on preventing acquisition, whereas decolonization efforts remain a focus of research.
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15
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Spread of Carbapenem-Resistant Klebsiella pneumoniae in Hub and Spoke Connected Health-Care Networks: A Case Study from Italy. Microorganisms 2019; 8:microorganisms8010037. [PMID: 31878097 PMCID: PMC7022417 DOI: 10.3390/microorganisms8010037] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 12/16/2019] [Indexed: 11/30/2022] Open
Abstract
The study describes the spread of carbapenem-resistant Klebsiella pneumoniae (CRKP) in a regional healthcare network in Italy. The project included several stages: (1) Establishment of a laboratory-based regional surveillance network, including all the acute care hospitals of the Marches Region (n = 20). (2) Adoption of a shared protocol for the surveillance of Multi-Drug Resistant Organisms (MDROs). Only the first CRKP isolate for each patient has been included in the surveillance in each hospital. The anonymous tracking of patients, and their subsequent microbial records within the hospital network, allowed detection of networks of inter-hospital exchange of CRKP and its comparison with transfer of patients within the hospital network. Pulsed-Field Gel Electrophoresis (PFGE) analysis has been used to study selected isolates belonging to different hospitals. 371,037 admitted patients have been included in the surveillance system. CRKP has shown an overall incidence rate of 41.0 per 100,000 days of stay (95% confidence interval, CI 38.5–43.5/100,000 DOS), a CRKP incidence rate of isolation in blood of 2.46/100,000 days of stay (95% CI 1.89–3.17/100,000 days of stay (DOS) has been registered; significant variability has been registered in facilities providing different levels of care. The network of CRKP patients’ exchange was correlated to that of the healthcare organization, with some inequalities and the identification of bridges in CRKP transfers. More than 73% of isolates were closely related. Patients’ exchange was an important route of spread of antimicrobial resistance, highlighting the pivotal role played by the hub, and selected institution to be used in prioritizing infection control efforts.
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16
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Knight GM, Davies NG, Colijn C, Coll F, Donker T, Gifford DR, Glover RE, Jit M, Klemm E, Lehtinen S, Lindsay JA, Lipsitch M, Llewelyn MJ, Mateus ALP, Robotham JV, Sharland M, Stekel D, Yakob L, Atkins KE. Mathematical modelling for antibiotic resistance control policy: do we know enough? BMC Infect Dis 2019; 19:1011. [PMID: 31783803 PMCID: PMC6884858 DOI: 10.1186/s12879-019-4630-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 11/11/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Antibiotics remain the cornerstone of modern medicine. Yet there exists an inherent dilemma in their use: we are able to prevent harm by administering antibiotic treatment as necessary to both humans and animals, but we must be mindful of limiting the spread of resistance and safeguarding the efficacy of antibiotics for current and future generations. Policies that strike the right balance must be informed by a transparent rationale that relies on a robust evidence base. MAIN TEXT One way to generate the evidence base needed to inform policies for managing antibiotic resistance is by using mathematical models. These models can distil the key drivers of the dynamics of resistance transmission from complex infection and evolutionary processes, as well as predict likely responses to policy change in silico. Here, we ask whether we know enough about antibiotic resistance for mathematical modelling to robustly and effectively inform policy. We consider in turn the challenges associated with capturing antibiotic resistance evolution using mathematical models, and with translating mathematical modelling evidence into policy. CONCLUSIONS We suggest that in spite of promising advances, we lack a complete understanding of key principles. From this we advocate for priority areas of future empirical and theoretical research.
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Affiliation(s)
- Gwenan M Knight
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.
| | - Nicholas G Davies
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - Caroline Colijn
- Department of Mathematics, Simon Fraser University, Burnaby, Canada
| | - Francesc Coll
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, LSHTM, London, UK
| | - Tjibbe Donker
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Danna R Gifford
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Rebecca E Glover
- Department of Health Services Research and Policy, Faculty of Public Health and Policy, LSHTM, London, UK
| | - Mark Jit
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | | | - Sonja Lehtinen
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Jodi A Lindsay
- Institute for Infection and Immunity, St George's, University of London, Cranmer Terrace, London, UK
| | - Marc Lipsitch
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Martin J Llewelyn
- Department of Global Health and Infection, Brighton and Sussex Medical School, Brighton, UK
| | - Ana L P Mateus
- Population Sciences and Pathobiology Department, Royal Veterinary College, London, UK
| | - Julie V Robotham
- Modelling and Economics Unit, National Infection Service, Public Health England, London, UK
| | - Mike Sharland
- Paediatric Infectious Disease Research Group, St George's University of London, London, UK
| | - Dov Stekel
- School of Biosciences, University of Nottingham, Loughborough, UK
| | - Laith Yakob
- Department of Disease Control, Faculty of Infectious and Tropical Diseases, LSHTM, London, UK
| | - Katherine E Atkins
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine (LSHTM), London, UK
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
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17
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Tosas Auguet O, Stabler RA, Betley J, Preston MD, Dhaliwal M, Gaunt M, Ioannou A, Desai N, Karadag T, Batra R, Otter JA, Marbach H, Clark TG, Edgeworth JD. Frequent Undetected Ward-Based Methicillin-Resistant Staphylococcus aureus Transmission Linked to Patient Sharing Between Hospitals. Clin Infect Dis 2019; 66:840-848. [PMID: 29095965 PMCID: PMC5850096 DOI: 10.1093/cid/cix901] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Accepted: 11/16/2017] [Indexed: 12/04/2022] Open
Abstract
Background Recent evidence suggests that hospital transmission of methicillin-resistant Staphylococcus aureus (MRSA) is uncommon in UK centers that have implemented sustained infection control programs. We investigated whether a healthcare-network analysis could shed light on transmission paths currently sustaining MRSA levels in UK hospitals. Methods A cross-sectional observational study was performed in 2 National Health Service hospital groups and a general district hospital in Southeast London. All MRSA patients identified at inpatient, outpatient, and community settings between 1 November 2011 and 29 February 2012 were included. We identified genetically defined MRSA transmission clusters in individual hospitals and across the healthcare network, and examined genetic differentiation of sequence type (ST) 22 MRSA isolates within and between hospitals and inpatient or outpatient and community settings, as informed by average and median pairwise single-nucleotide polymorphisms (SNPs) and SNP-based proportions of nearly identical isolates. Results Two hundred forty-eight of 610 (40.7%) MRSA patients were linked in 90 transmission clusters, of which 27 spanned multiple hospitals. Analysis of a large 32 patient ST22-MRSA cluster showed that 26 of 32 patients (81.3%) had multiple contacts with one another during ward stays at any hospital. No residential, outpatient, or significant community healthcare contacts were identified. Genetic differentiation between ST22 MRSA inpatient isolates from different hospitals was less than between inpatient isolates from the same hospitals (P ≤ .01). Conclusions There is evidence of frequent ward-based transmission of MRSA brought about by frequent patient admissions to multiple hospitals. Limiting in-ward transmission requires sharing of MRSA status data between hospitals.
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Affiliation(s)
- Olga Tosas Auguet
- Centre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, King's College London and Guy's and St Thomas' NHS Foundation Trust.,Oxford Health Systems Collaboration, Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford
| | - Richard A Stabler
- Department of Pathogen Molecular Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine
| | - Jason Betley
- Illumina, Cambridge Ltd, Chesterford Research Park, Little Chesterford, Essex
| | - Mark D Preston
- Department of Pathogen Molecular Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine
| | - Mandeep Dhaliwal
- Department of Pathogen Molecular Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine
| | - Michael Gaunt
- Department of Pathogen Molecular Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine
| | - Avgousta Ioannou
- Illumina, Cambridge Ltd, Chesterford Research Park, Little Chesterford, Essex
| | - Nergish Desai
- Department of Medical Microbiology, King's College Hospital NHS Foundation Trust
| | - Tacim Karadag
- Department of Microbiology, University Hospital Lewisham, Lewisham and Greenwich NHS Trust
| | - Rahul Batra
- Centre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, King's College London and Guy's and St Thomas' NHS Foundation Trust
| | - Jonathan A Otter
- Centre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, King's College London and Guy's and St Thomas' NHS Foundation Trust.,National Institute for Health Research Health Protection Research Unit in Healthcare-Associated Infections and Antimicrobial Resistance at Imperial College London, and Imperial College Healthcare NHS Trust, Infection Prevention and Control
| | - Helene Marbach
- Centre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, King's College London and Guy's and St Thomas' NHS Foundation Trust
| | - Taane G Clark
- Department of Pathogen Molecular Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine.,Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Jonathan D Edgeworth
- Centre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, King's College London and Guy's and St Thomas' NHS Foundation Trust
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18
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Schneider A, Coope C, Michie S, Puleston R, Hopkins S, Oliver I. Implementing a toolkit for the prevention, management and control of carbapenemase-producing Enterobacteriaceae in English acute hospitals trusts: a qualitative evaluation. BMC Health Serv Res 2019; 19:689. [PMID: 31606053 PMCID: PMC6790044 DOI: 10.1186/s12913-019-4492-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 08/29/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Antimicrobial resistance is an increasing problem in hospitals world-wide. Following other countries, English hospitals experienced outbreaks of carbapenemase-producing Enterobacteriaceae (CPE), a bacterial infection commonly resistant to last resort antibiotics. One way to improve CPE prevention, management and control is the production of guidelines, such as the CPE toolkit published by Public Health England in December 2013. The aim of this research was to investigate the implementation of the CPE toolkit and to identify barriers and facilitators to inform future policies. METHODS Acute hospital trusts (N = 12) were purposively sampled based on their self-assessed CPE colonisation rates and time point of introducing local CPE action plans. Following maximum variation sampling, 44 interviews with hospital staff were conducted between April and August 2017 using a semi-structured topic guide based on the Capability, Opportunity, Motivation and Behaviour Model and the Theoretical Domains Framework, covering areas of influences on behaviour. Interviews were audio-recorded, transcribed verbatim and analysed using thematic analysis. RESULTS The national CPE toolkit was widely disseminated within infection prevention and control teams (IPCT), but awareness was rare among other hospital staff. Local plans, developed by IPCTs referring to the CPE toolkit while considering local circumstances, were in place in all hospitals. Implementation barriers included: shortage of isolation facilities for CPE patients, time pressures, and competing demands. Facilitators were within hospital and across-hospital collaborations and knowledge sharing, availability of dedicated IPCTs, leadership support and prioritisation of CPE as an important concern. Participants using the CPE toolkit had mixed views, appreciating its readability and clarity about patient management, but voicing concerns about the lack of transparency on the level of evidence and the practicality of implementation. They recommended regular updates, additional clarifications, tailored information and implementation guidance. CONCLUSIONS There were problems with the awareness and implementation of the CPE toolkit and frontline staff saw room for improvement, identifying implementation barriers and facilitators. An updated CPE toolkit version should provide comprehensive and instructive guidance on evidence-based CPE prevention, management and control procedures and their implementation in a modular format with sections tailored to hospitals' CPE status and to different staff groups.
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Affiliation(s)
- Annegret Schneider
- University College London, Gower St, Bloomsbury, London, WC1E 6BT, UK. .,National Institute for Health Research Health Protection Unit in Evaluation of Interventions, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK.
| | - Caroline Coope
- National Institute for Health Research Health Protection Unit in Evaluation of Interventions, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK.,Field Service South West, National Infection Service, Public Health England, 2 Rivergate, Bristol, BS1 6EH, UK
| | - Susan Michie
- University College London, Gower St, Bloomsbury, London, WC1E 6BT, UK.,National Institute for Health Research Health Protection Unit in Evaluation of Interventions, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - Richard Puleston
- Field Service East Midlands, National Infection Service, Public Health England, Nottingham, NG24LA, UK
| | - Susan Hopkins
- Division of Healthcare-Associated Infection and Antimicrobial Resistance, National Infection Service, Public Health England, London, UK
| | - Isabel Oliver
- National Institute for Health Research Health Protection Unit in Evaluation of Interventions, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK.,Field Service South West, National Infection Service, Public Health England, 2 Rivergate, Bristol, BS1 6EH, UK
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Tucker A, George R, Welfare W, Cleary P, Cawthorne J, Dodgson A. Screening for carbapenemase-producing Enterobacteriaceae in previous carriers readmitted to hospital: evaluation of a change in screening policy. J Hosp Infect 2019; 103:156-159. [DOI: 10.1016/j.jhin.2019.04.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 04/23/2019] [Indexed: 12/19/2022]
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Antibiotic-resistant pathogens in different patient settings and identification of surveillance gaps in Switzerland - a systematic review. Epidemiol Infect 2019; 147:e259. [PMID: 31466538 PMCID: PMC6805757 DOI: 10.1017/s0950268819001523] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The prevalence of antimicrobial resistance (AMR) varies significantly among different patient populations. We aimed to summarise AMR prevalence data from screening studies in different patient settings in Switzerland and to identify surveillance gaps. We performed a systematic review, searching Pubmed, MEDLINE, Embase (01/2000–05/2017) and conference proceedings for Swiss studies reporting on carbapenemase-producing Enterobacteriaceae (CPE), extended-spectrum beta-lactamases (ESBL), mobilised colistin-resistance, methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococci (VRE) within different patient settings. We identified 2345 references and included 46 studies. For acute care patients, most screening data come from admission screenings, whereas AMR prevalence among hospitalised patients is largely unknown. Universal admission screenings showed ESBL-prevalences of 5–8% and MRSA-prevalences of 2–5%. For targeted screening, ESBL-prevalence ranged from 14–21%; MRSA-prevalence from 1–4%. For refugees, high ESBL (9–24%) and MRSA (16–24%) carriage rates were reported; returning travellers were frequently (68–80%) colonised with ESBL. Screening data for other pathogens, long-term care facility (LTCF) residents and pediatric populations were scarce. This review confirms high ESBL- and MRSA-carriage rates for risk populations in Switzerland. Emerging pathogens (CPE and VRE) and certain populations (inpatients, LTCF residents and children) are understudied. We encourage epidemiologists and public health authorities to consider these findings in the planning of future surveillance studies.
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Infection prevention and control practices related to carbapenemase-producing Enterobacteriaceae (CPE) in acute-care hospitals in Ontario, Canada. Infect Control Hosp Epidemiol 2019; 40:1006-1012. [PMID: 31244458 DOI: 10.1017/ice.2019.173] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To determine infection prevention and control (IPAC) practices for carbapenemase-producing Enterobacteriaceae (CPE), an emerging threat, at acute-care hospitals in Ontario, Canada. DESIGN A descriptive cross-sectional survey. METHODS We surveyed IPAC directors and managers at all acute-care hospitals in Ontario, Canada, to gather information on IPAC practices related to CPE, including admission screening, other patient screening, environmental testing, use of precautions to prevent transmission, and outbreak management. RESULTS Of 116 acute-care hospitals, 105 (91%) responded. Admission screening included patients previously colonized or infected with CPE (n = 64, 61%), patients recently hospitalized outside of Canada (Indian subcontinent, n = 62, 59%; other countries, n = 56, 53%), and patients recently hospitalized in Canada (n = 22, 21%). Fifty-one hospitals (49%) screened patients for colonization during an outbreak. Almost all hospitals (n = 101, 96%) used precautions to prevent transmission from patients with CPE colonization or infection; most hospitals (n = 54, 53%) continued precautions indefinitely. Few hospitals (n = 19, 18%) performed environmental cultures. Eight hospitals (8%) reported at least 1 outbreak, and 6 hospitals (6%) reported transmission from sink or shower drains to patients. CONCLUSIONS Variability in practices may result from lack of evidence and challenges in updating guidelines as evidence emerges. A coordinated approach to slow the emergence of CPE should be considered in our population.
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Kohler PP, Melano RG, Patel SN, Shafinaz S, Faheem A, Coleman BL, Green K, Armstrong I, Almohri H, Borgia S, Borgundvaag E, Johnstone J, Katz K, Lam F, Muller MP, Powis J, Poutanen SM, Richardson D, Rebbapragada A, Sarabia A, Simor A, McGeer A. Emergence of Carbapenemase-Producing Enterobacteriaceae, South-Central Ontario, Canada 1. Emerg Infect Dis 2019; 24:1674-1682. [PMID: 30124197 PMCID: PMC6106407 DOI: 10.3201/eid2409.180164] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
We analyzed population-based surveillance data from the Toronto Invasive Bacterial Diseases Network to describe carbapenemase-producing Enterobacteriaceae (CPE) infections during 2007–2015 in south-central Ontario, Canada. We reviewed patients’ medical records and travel histories, analyzed microbiologic and clinical characteristics of CPE infections, and calculated incidence. Among 291 cases identified, New Delhi metallo-β-lactamase was the predominant carbapenemase (51%). The proportion of CPE-positive patients with prior admission to a hospital in Canada who had not received healthcare abroad or traveled to high-risk areas was 13% for patients with oxacillinase-48, 24% for patients with New Delhi metallo-β-lactamase, 55% for patients with Klebsiella pneumoniae carbapenemase, and 67% for patients with Verona integron-encoded metallo-β-lactamase. Incidence of CPE infection increased, reaching 0.33 cases/100,000 population in 2015. For a substantial proportion of patients, no healthcare abroad or high-risk travel could be established, suggesting CPE acquisition in Canada. Policy and practice changes are needed to mitigate nosocomial CPE transmission in hospitals in Canada.
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Otter JA, Natale A, Batra R, Tosas Auguet O, Dyakova E, Goldenberg SD, Edgeworth JD. Individual- and community-level risk factors for ESBL Enterobacteriaceae colonization identified by universal admission screening in London. Clin Microbiol Infect 2019; 25:1259-1265. [PMID: 30849431 DOI: 10.1016/j.cmi.2019.02.026] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 02/12/2019] [Accepted: 02/23/2019] [Indexed: 01/14/2023]
Abstract
OBJECTIVES We evaluated risk factors for gastrointestinal carriage of Enterobacteriaceae which produce extended-spectrum β-lactamases (ESBL-E), including individual-level variables such as antibiotic use and foreign travel, and community-level variables such as housing and deprivation. METHODS In an observational study in 2015, all patients admitted to a London hospital group were approached to be screened for ESBL-E carriage using rectal swabs for 4 months. Patients completed a risk factor questionnaire. Those with a residential postcode in the local catchment area were linked to a database containing community-level risk factor data. Risk factors for ESBL-E carriage were determined by binary logistic regression. RESULTS Of 4006 patients, 360 (9.0%) carried ESBL-E. Escherichia coli was the most common organism (77.8%), and CTX-M-type ESBLs were the most common genes (57.9% CTX-M-15 and 20.7% CTX-M-9). In multivariable analysis, risk factors for phenotypic ESBL-E among the 1633 patients with a residential postcode within the local catchment area were: travel to Asia (OR 4.4, CI 2.5-7.6) or Africa (OR 2.4, CI 1.2-4.8) in the 12 months prior to admission, two or more courses of antibiotics in the 6 months prior to admission (OR 2.0, CI 1.3-3.0), and residence in a district with a higher-than-average prevalence of overcrowded households (OR 1.5, CI 1.05-2.2). . CONCLUSIONS Both individual and community variables were associated with ESBL-E carriage at hospital admission. The novel observation that household overcrowding is associated with ESBL-E carriage requires confirmation, but raises the possibility that targeted interventions in the community could help prevent transmission of antibiotic-resistant Gram-negative bacteria.
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Affiliation(s)
- J A Otter
- Centre for Clinical Infection and Diagnostics Research (CIDR), Department of Infectious Diseases, King's College London & Guy's and St Thomas' NHS Foundation Trust, London, UK; NIHR Health Protection Research Unit (HPRU) in HCAIs and AMR at Imperial College London, Imperial College Healthcare NHS Trust, Infection Prevention and Control, London, UK.
| | - A Natale
- Centre for Clinical Infection and Diagnostics Research (CIDR), Department of Infectious Diseases, King's College London & Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - R Batra
- Centre for Clinical Infection and Diagnostics Research (CIDR), Department of Infectious Diseases, King's College London & Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - O Tosas Auguet
- Centre for Clinical Infection and Diagnostics Research (CIDR), Department of Infectious Diseases, King's College London & Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - E Dyakova
- Centre for Clinical Infection and Diagnostics Research (CIDR), Department of Infectious Diseases, King's College London & Guy's and St Thomas' NHS Foundation Trust, London, UK; NIHR Health Protection Research Unit (HPRU) in HCAIs and AMR at Imperial College London, Imperial College Healthcare NHS Trust, Infection Prevention and Control, London, UK
| | - S D Goldenberg
- Centre for Clinical Infection and Diagnostics Research (CIDR), Department of Infectious Diseases, King's College London & Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - J D Edgeworth
- Centre for Clinical Infection and Diagnostics Research (CIDR), Department of Infectious Diseases, King's College London & Guy's and St Thomas' NHS Foundation Trust, London, UK
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A Large, Refractory Nosocomial Outbreak of Klebsiella pneumoniae Carbapenemase-Producing Escherichia coli Demonstrates Carbapenemase Gene Outbreaks Involving Sink Sites Require Novel Approaches to Infection Control. Antimicrob Agents Chemother 2018; 62:AAC.01689-18. [PMID: 30249685 DOI: 10.1128/aac.01689-18] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 09/12/2018] [Indexed: 11/20/2022] Open
Abstract
Carbapenem-resistant Enterobacteriaceae (CRE) represent a health threat, but effective control interventions remain unclear. Hospital wastewater sites are increasingly being highlighted as important potential reservoirs. We investigated a large Klebsiella pneumoniae carbapenemase (KPC)-producing Escherichia coli outbreak and wider CRE incidence trends in the Central Manchester University Hospital NHS Foundation Trust (CMFT) (United Kingdom) over 8 years, to determine the impact of infection prevention and control measures. Bacteriology and patient administration data (2009 to 2017) were linked, and a subset of CMFT or regional hospital KPC-producing E. coli isolates (n = 268) were sequenced. Control interventions followed international guidelines and included cohorting, rectal screening (n = 184,539 screens), environmental sampling, enhanced cleaning, and ward closure and plumbing replacement. Segmented regression of time trends for CRE detections was used to evaluate the impact of interventions on CRE incidence. Genomic analysis (n = 268 isolates) identified the spread of a KPC-producing E. coli outbreak clone (strain A, sequence type 216 [ST216]; n = 125) among patients and in the environment, particularly on 2 cardiac wards (wards 3 and 4), despite control measures. ST216 strain A had caused an antecedent outbreak and shared its KPC plasmids with other E. coli lineages and Enterobacteriaceae species. CRE acquisition incidence declined after closure of wards 3 and 4 and plumbing replacement, suggesting an environmental contribution. However, ward 3/ward 4 wastewater sites were rapidly recolonized with CRE and patient CRE acquisitions recurred, albeit at lower rates. Patient relocation and plumbing replacement were associated with control of a clonal KPC-producing E. coli outbreak; however, environmental contamination with CRE and patient CRE acquisitions recurred rapidly following this intervention. The large numbers of cases and the persistence of bla KPC in E. coli, including pathogenic lineages, are of concern.
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Knight GM, Dyakova E, Mookerjee S, Davies F, Brannigan ET, Otter JA, Holmes AH. Fast and expensive (PCR) or cheap and slow (culture)? A mathematical modelling study to explore screening for carbapenem resistance in UK hospitals. BMC Med 2018; 16:141. [PMID: 30111322 PMCID: PMC6094916 DOI: 10.1186/s12916-018-1117-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 07/04/2018] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Enterobacteriaceae are a common cause of hospital infections. Carbapenems are a clinically effective treatment of such infections. However, resistance is on the rise. In particular, carbapenemase-producing carbapenem-resistant Enterobacteriaceae (CP-CRE) are increasingly common. In order to limit spread in clinical settings, screening and isolation is being recommended, but many different screening methods are available. We aimed to compare the impact and costs of three algorithms for detecting CP-CRE carriage. METHODS We developed an individual-based simulation model to compare three screening algorithms using data from a UK National Health Service (NHS) trust. The first algorithm, "Direct PCR", was highly sensitive/specific and quick (half a day), but expensive. The second, "Culture + PCR", was relatively sensitive/specific but slower, requiring 2.5 days. A third algorithm, "PHE", repeated the "Culture + PCR" three times with an additional PCR. Scenario analysis was used to compare several levels of CP-CRE prevalence and coverage of screening, different specialities as well as isolation strategies. Our outcomes were (1) days that a patient with CP-CRE was not detected and hence not isolated ("days at risk"), (2) isolation bed days, (3) total costs and (4) mean cost per CP-CRE risk day averted per year. We also explored limited isolation bed day capacity. RESULTS We found that although a Direct PCR algorithm would reduce the number of CP-CRE days at risk, the mean cost per CP-CRE risk day averted per year was substantially higher than for a Culture + PCR algorithm. For example, in our model of an intensive care unit, during a year with a 1.6% CP-CRE prevalence and 63% screening coverage, there were 508 (standard deviation 15), 642 (14) and 655 (14) days at risk under screening algorithms Direct PCR, Culture + PCR and PHE respectively, with mean costs per risk day averted of £192, £61 and £79. These results were robust to sensitivity analyses. CONCLUSIONS Our results indicate that a Culture + PCR algorithm provides the optimal balance of cost and risk days averted, at varying isolation, prevalence and screening coverage scenarios. Findings from this study will help clinical organisations determine the optimal screening approach for CP-CRE, balancing risk and resources.
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Affiliation(s)
- Gwenan M Knight
- National Institute of Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Commonwealth Building, Hammersmith Campus, Imperial College London, Du Cane Road, London, W12 0NN, UK. .,Infectious Diseases and Immunity, Commonwealth Building, Hammersmith Campus, Imperial College London, Du Cane Road, London, W12 0NN, UK.
| | | | | | | | - Eimear T Brannigan
- Infectious Diseases and Immunity, Commonwealth Building, Hammersmith Campus, Imperial College London, Du Cane Road, London, W12 0NN, UK.,Imperial College Healthcare NHS Trust, London, UK
| | - Jonathan A Otter
- National Institute of Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Commonwealth Building, Hammersmith Campus, Imperial College London, Du Cane Road, London, W12 0NN, UK.,Imperial College Healthcare NHS Trust, London, UK
| | - Alison H Holmes
- National Institute of Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Commonwealth Building, Hammersmith Campus, Imperial College London, Du Cane Road, London, W12 0NN, UK.,Imperial College Healthcare NHS Trust, London, UK
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Pouwels KB, Dolk FCK, Smith DRM, Smieszek T, Robotham JV. Explaining variation in antibiotic prescribing between general practices in the UK. J Antimicrob Chemother 2018; 73:ii27-ii35. [PMID: 29490059 PMCID: PMC5890680 DOI: 10.1093/jac/dkx501] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Objectives Primary care practices in England differ in antibiotic prescribing rates, and, anecdotally, prescribers justify high prescribing rates based on their individual case mix. The aim of this paper was to explore to what extent factors such as patient comorbidities explain this variation in antibiotic prescribing. Methods Primary care consultation and prescribing data recorded in The Health Improvement Network (THIN) database in 2013 were used. Boosted regression trees (BRTs) and negative binomial regression (NBR) models were used to evaluate associations between predictors and antibiotic prescribing rates. The following variables were considered as potential predictors: various infection-related consultation rates, proportions of patients with comorbidities, proportion of patients with inhaled/systemic corticosteroids or immunosuppressive drugs, and demographic traits. Results The median antibiotic prescribing rate was 65.6 (IQR 57.4-74.0) per 100 registered patients among 348 English practices. In the BRT model, consultation rates had the largest total relative influence on antibiotic prescribing rate (53.5%), followed by steroid and immunosuppressive drugs (31.6%) and comorbidities (12.2%). Only 21% of the deviance could be explained by an NBR model considering only comorbidities and age and gender, whereas 57% of the deviance could be explained by the model considering all variables. Conclusions The majority of practice-level variation in antibiotic prescribing cannot be explained by variation in prevalence of comorbidities. Factors such as high consultation rates for respiratory tract infections and high prescribing rates for corticosteroids could explain much of the variation, and as such may be considered in determining a practice's potential to reduce prescribing.
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Affiliation(s)
- Koen B Pouwels
- Modelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK
- PharmacoTherapy, -Epidemiology & -Economics, Department of Pharmacy, University of Groningen, Groningen, The Netherlands
- MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College School of Public Health, London, UK
| | - F Christiaan K Dolk
- Modelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK
- PharmacoTherapy, -Epidemiology & -Economics, Department of Pharmacy, University of Groningen, Groningen, The Netherlands
| | - David R M Smith
- Modelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK
| | - Timo Smieszek
- Modelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK
- MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College School of Public Health, London, UK
| | - Julie V Robotham
- Modelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK
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Martin J, Phan HTT, Findlay J, Stoesser N, Pankhurst L, Navickaite I, De Maio N, Eyre DW, Toogood G, Orsi NM, Kirby A, Young N, Turton JF, Hill RLR, Hopkins KL, Woodford N, Peto TEA, Walker AS, Crook DW, Wilcox MH. Covert dissemination of carbapenemase-producing Klebsiella pneumoniae (KPC) in a successfully controlled outbreak: long- and short-read whole-genome sequencing demonstrate multiple genetic modes of transmission. J Antimicrob Chemother 2017; 72:3025-3034. [PMID: 28961793 PMCID: PMC5890743 DOI: 10.1093/jac/dkx264] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 06/22/2017] [Accepted: 07/05/2017] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Carbapenemase-producing Enterobacteriaceae (CPE), including KPC-producing Klebsiella pneumoniae (KPC-Kpn), are an increasing threat to patient safety. OBJECTIVES To use WGS to investigate the extent and complexity of carbapenemase gene dissemination in a controlled KPC outbreak. MATERIALS AND METHODS Enterobacteriaceae with reduced ertapenem susceptibility recovered from rectal screening swabs/clinical samples, during a 3 month KPC outbreak (2013-14), were investigated for carbapenemase production, antimicrobial susceptibility, variable-number-tandem-repeat profile and WGS [short-read (Illumina), long-read (MinION)]. Short-read sequences were used for MLST and plasmid/Tn4401 fingerprinting, and long-read sequence assemblies for plasmid identification. Phylogenetic analysis used IQTree followed by ClonalFrameML, and outbreak transmission dynamics were inferred using SCOTTI. RESULTS Twenty patients harboured KPC-positive isolates (6 infected, 14 colonized), and 23 distinct KPC-producing Enterobacteriaceae were identified. Four distinct KPC plasmids were characterized but of 20 KPC-Kpn (from six STs), 17 isolates shared a single pKpQIL-D2 KPC plasmid. All isolates had an identical transposon (Tn4401a), except one KPC-Kpn (ST661) with a single nucleotide variant. A sporadic case of KPC-Kpn (ST491) with Tn4401a-carrying pKpQIL-D2 plasmid was identified 10 months before the outbreak. This plasmid was later seen in two other species and other KPC-Kpn (ST14,ST661) including clonal spread of KPC-Kpn (ST661) from a symptomatic case to nine ward contacts. CONCLUSIONS WGS of outbreak KPC isolates demonstrated blaKPC dissemination via horizontal transposition (Tn4401a), plasmid spread (pKpQIL-D2) and clonal spread (K. pneumoniae ST661). Despite rapid outbreak control, considerable dissemination of blaKPC still occurred among K. pneumoniae and other Enterobacteriaceae, emphasizing its high transmission potential and the need for enhanced control efforts.
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Affiliation(s)
- Jessica Martin
- Healthcare-Associated Infection Research Group, University of Leeds, Leeds, UK
- Clinical Microbiology Department, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Hang T. T Phan
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
- NIHR Health Protection Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK
| | - Jacqueline Findlay
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK
| | - Nicole Stoesser
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Louise Pankhurst
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Indre Navickaite
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Nicola De Maio
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - David W Eyre
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Giles Toogood
- Department of Hepatobiliary Surgery, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Nicolas M Orsi
- Healthcare-Associated Infection Research Group, University of Leeds, Leeds, UK
- Clinical Microbiology Department, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Andrew Kirby
- Healthcare-Associated Infection Research Group, University of Leeds, Leeds, UK
- Clinical Microbiology Department, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Nicola Young
- Clinical Microbiology Department, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Jane F Turton
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK
| | - Robert L. R Hill
- NIHR Health Protection Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK
| | - Katie L Hopkins
- NIHR Health Protection Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK
| | - Neil Woodford
- NIHR Health Protection Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK
| | - Tim E. A Peto
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
- NIHR Health Protection Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK
| | - A. Sarah Walker
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
- NIHR Health Protection Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK
| | - Derrick W Crook
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
- NIHR Health Protection Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK
| | - Mark H Wilcox
- Healthcare-Associated Infection Research Group, University of Leeds, Leeds, UK
- Clinical Microbiology Department, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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Measuring distance through dense weighted networks: The case of hospital-associated pathogens. PLoS Comput Biol 2017; 13:e1005622. [PMID: 28771581 PMCID: PMC5542422 DOI: 10.1371/journal.pcbi.1005622] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 06/13/2017] [Indexed: 12/02/2022] Open
Abstract
Hospital networks, formed by patients visiting multiple hospitals, affect the spread of hospital-associated infections, resulting in differences in risks for hospitals depending on their network position. These networks are increasingly used to inform strategies to prevent and control the spread of hospital-associated pathogens. However, many studies only consider patients that are received directly from the initial hospital, without considering the effect of indirect trajectories through the network. We determine the optimal way to measure the distance between hospitals within the network, by reconstructing the English hospital network based on shared patients in 2014–2015, and simulating the spread of a hospital-associated pathogen between hospitals, taking into consideration that each intermediate hospital conveys a delay in the further spread of the pathogen. While the risk of transferring a hospital-associated pathogen between directly neighbouring hospitals is a direct reflection of the number of shared patients, the distance between two hospitals far-away in the network is determined largely by the number of intermediate hospitals in the network. Because the network is dense, most long distance transmission chains in fact involve only few intermediate steps, spreading along the many weak links. The dense connectivity of hospital networks, together with a strong regional structure, causes hospital-associated pathogens to spread from the initial outbreak in a two-step process: first, the directly surrounding hospitals are affected through the strong connections, second all other hospitals receive introductions through the multitude of weaker links. Although the strong connections matter for local spread, weak links in the network can offer ideal routes for hospital-associated pathogens to travel further faster. This hold important implications for infection prevention and control efforts: if a local outbreak is not controlled in time, colonised patients will appear in other regions, irrespective of the distance to the initial outbreak, making import screening ever more difficult. Shared patients can spread hospital-associated pathogens between hospitals, together forming a large network in which all hospitals are connected. We set out to measure the distance between hospitals in such a network, best reflecting the risk of a hospital-associated pathogen spreading from one to the other. The central problem is that this risk may not be a directly reflected by the weight of the direct connections between hospitals, because the pathogen could arrive through a longer indirect route, first causing a problem in an intermediate hospital. We determined the optimal balance between connection weights and path length, by testing different weighting factors between them against simulated spread of a pathogen. We found that while strong connections are important risk factor for a hospital’s direct neighbours, weak connections offer ideal indirect routes for hospital-associated pathogens to travel further faster. These routes should not be underestimated when designing control strategies.
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