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Su Q, Liu Q, Zhang L, Xu Z, Liu C, Lu W, Ching JYL, Li A, Mak JWY, Lui GCY, Ng SSS, Chow KM, Hui DSC, Chan PKS, Chan FKL, Ng SC. Antibiotics and probiotics impact gut antimicrobial resistance gene reservoir in COVID-19 patients. Gut Microbes 2022; 14:2128603. [PMID: 36201636 PMCID: PMC9543044 DOI: 10.1080/19490976.2022.2128603] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Dysbiosis of gut microbiota is well-described in patients with coronavirus 2019 (COVID-19), but the dynamics of antimicrobial resistance genes (ARGs) reservoir, known as resistome, is less known. Here, we performed longitudinal fecal metagenomic profiling of 142 patients with COVID-19, characterized the dynamics of resistome from diagnosis to 6 months after viral clearance, and reported the impact of antibiotics or probiotics on the ARGs reservoir. Antibiotic-naive patients with COVID-19 showed increased abundance and types, and higher prevalence of ARGs compared with non-COVID-19 controls at baseline. Expansion in resistome was mainly driven by tetracycline, vancomycin, and multidrug-resistant genes and persisted for at least 6 months after clearance of SARS-CoV-2. Patients with expanded resistome exhibited increased prevalence of Klebsiella sp. and post-acute COVID-19 syndrome. Antibiotic treatment resulted in further increased abundance of ARGs whilst oral probiotics (synbiotic formula, SIM01) significantly reduced the ARGs reservoir in the gut microbiota of COVID-19 patients during the acute infection and recovery phase. Collectively, these findings shed new insights on the dynamic of ARGs reservoir in COVID-19 patients and the potential role of microbiota-directed therapies in reducing the burden of accumulated ARGs.
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Affiliation(s)
- Qi Su
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China,Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Qin Liu
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China,Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lin Zhang
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China,Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Zhilu Xu
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China,Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chenyu Liu
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China,Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wenqi Lu
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jessica YL Ching
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Amy Li
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joyce Wing Yan Mak
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Grace Chung Yan Lui
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Department of Microbiology, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Susanna So Shan Ng
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Stanley Ho Centre for Emerging Infectious Diseases, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Kai Ming Chow
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - David SC Hui
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Stanley Ho Centre for Emerging Infectious Diseases, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Paul KS Chan
- Department of Microbiology, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Francis Ka Leung Chan
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China,Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Siew C Ng
- Microbiota I-Center (Magic), Hong Kong SAR, China,Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong SAR, China,Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China,Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China,CONTACT Siew C Ng Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong
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Khadjesari Z, Boufkhed S, Vitoratou S, Schatte L, Ziemann A, Daskalopoulou C, Uglik-Marucha E, Sevdalis N, Hull L. Implementation outcome instruments for use in physical healthcare settings: a systematic review. Implement Sci 2020; 15:66. [PMID: 32811517 PMCID: PMC7433178 DOI: 10.1186/s13012-020-01027-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 07/29/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Implementation research aims to facilitate the timely and routine implementation and sustainment of evidence-based interventions and services. A glaring gap in this endeavour is the capability of researchers, healthcare practitioners and managers to quantitatively evaluate implementation efforts using psychometrically sound instruments. To encourage and support the use of precise and accurate implementation outcome measures, this systematic review aimed to identify and appraise studies that assess the measurement properties of quantitative implementation outcome instruments used in physical healthcare settings. METHOD The following data sources were searched from inception to March 2019, with no language restrictions: MEDLINE, EMBASE, PsycINFO, HMIC, CINAHL and the Cochrane library. Studies that evaluated the measurement properties of implementation outcome instruments in physical healthcare settings were eligible for inclusion. Proctor et al.'s taxonomy of implementation outcomes was used to guide the inclusion of implementation outcomes: acceptability, appropriateness, feasibility, adoption, penetration, implementation cost and sustainability. Methodological quality of the included studies was assessed using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist. Psychometric quality of the included instruments was assessed using the Contemporary Psychometrics checklist (ConPsy). Usability was determined by number of items per instrument. RESULTS Fifty-eight publications reporting on the measurement properties of 55 implementation outcome instruments (65 scales) were identified. The majority of instruments assessed acceptability (n = 33), followed by appropriateness (n = 7), adoption (n = 4), feasibility (n = 4), penetration (n = 4) and sustainability (n = 3) of evidence-based practice. The methodological quality of individual scales was low, with few studies rated as 'excellent' for reliability (6/62) and validity (7/63), and both studies that assessed responsiveness rated as 'poor' (2/2). The psychometric quality of the scales was also low, with 12/65 scales scoring 7 or more out of 22, indicating greater psychometric strength. Six scales (6/65) rated as 'excellent' for usability. CONCLUSION Investigators assessing implementation outcomes quantitatively should select instruments based on their methodological and psychometric quality to promote consistent and comparable implementation evaluations. Rather than developing ad hoc instruments, we encourage further psychometric testing of instruments with promising methodological and psychometric evidence. SYSTEMATIC REVIEW REGISTRATION PROSPERO 2017 CRD42017065348.
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Affiliation(s)
- Zarnie Khadjesari
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK.
- Behavioural and Implementation Science research group, School of Health Sciences, University of East Anglia, Edith Cavell Building, Norwich Research Park, Norwich, NR4 7TJ, UK.
| | - Sabah Boufkhed
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK
| | - Silia Vitoratou
- Psychometrics and Measurement Lab, Biostatistics and Health Informatics Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK
| | - Laura Schatte
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK
| | - Alexandra Ziemann
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK
- Centre for Healthcare Innovation Research, City, University of London, Northampton Square, London, EC1V 0HB, UK
| | - Christina Daskalopoulou
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK
| | - Eleonora Uglik-Marucha
- Psychometrics and Measurement Lab, Biostatistics and Health Informatics Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK
| | - Nick Sevdalis
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK
| | - Louise Hull
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK
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Chou AF, Graber CJ, Zhang Y, Jones M, Goetz MB, Madaras-Kelly K, Samore M, Glassman PA. Specifying an implementation framework for Veterans Affairs antimicrobial stewardship programmes: using a factor analysis approach. J Antimicrob Chemother 2018; 73:2559-2566. [PMID: 29873721 DOI: 10.1093/jac/dky207] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 05/06/2018] [Indexed: 11/14/2022] Open
Abstract
Objectives Inappropriate antibiotic use poses a serious threat to patient safety. Antimicrobial stewardship programmes (ASPs) may optimize antimicrobial use and improve patient outcomes, but their implementation remains an organizational challenge. Using the Promoting Action on Research Implementation in Health Services (PARiHS) framework, this study aimed to identify organizational factors that may facilitate ASP design, development and implementation. Methods Among 130 Veterans Affairs facilities that offered acute care, we classified organizational variables supporting antimicrobial stewardship activities into three PARiHS domains: evidence to encompass sources of knowledge; contexts to translate evidence into practice; and facilitation to enhance the implementation process. We conducted a series of exploratory factor analyses to identify conceptually linked factor scales. Cronbach's alphas were calculated. Variables with large uniqueness values were left as single factors. Results We identified 32 factors, including six constructs derived from factor analyses under the three PARiHS domains. In the evidence domain, four factors described guidelines and clinical pathways. The context domain was broken into three main categories: (i) receptive context (15 factors describing resources, affiliations/networks, formalized policies/practices, decision-making, receptiveness to change); (ii) team functioning (1 factor); and (iii) evaluation/feedback (5 factors). Within facilitation, two factors described facilitator roles and tasks and five captured skills and training. Conclusions We mapped survey data onto PARiHS domains to identify factors that may be adapted to facilitate ASP uptake. Our model encompasses mostly mutable factors whose relationships with performance outcomes may be explored to optimize antimicrobial use. Our framework also provides an analytical model for determining whether leveraging existing organizational processes can potentially optimize ASP performance.
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Affiliation(s)
- Ann F Chou
- Department of Family and Preventive Medicine, College of Medicine, University of Oklahoma, 900 NE 10th St., Oklahoma City, OK 73104, USA.,The VA HSR&D Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System Los Angeles, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA
| | - Christopher J Graber
- The VA HSR&D Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System Los Angeles, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA.,David Geffen School of Medicine at UCLA, Los Angeles, Box 951691, Los Angeles, CA 90095, USA
| | - Yue Zhang
- Department of Internal Medicine and Division of Epidemiology, University of Utah, 295 Chipeta Way, Salt Lake City, UT 84108, USA.,VA Salt Lake City Healthcare System, 500 S Foothill Drive, Salt Lake City, UT 84148, USA
| | - Makoto Jones
- Department of Internal Medicine and Division of Epidemiology, University of Utah, 295 Chipeta Way, Salt Lake City, UT 84108, USA.,VA Salt Lake City Healthcare System, 500 S Foothill Drive, Salt Lake City, UT 84148, USA
| | - Matthew Bidwell Goetz
- The VA HSR&D Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System Los Angeles, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA.,David Geffen School of Medicine at UCLA, Los Angeles, Box 951691, Los Angeles, CA 90095, USA
| | - Karl Madaras-Kelly
- Boise Veterans Affairs Medical Center, 500 W Fort Street, Boise, ID, USA.,College of Pharmacy, Idaho State University, 1311 E Central Drive, Meridian, ID 83642, USA
| | - Matthew Samore
- Department of Internal Medicine and Division of Epidemiology, University of Utah, 295 Chipeta Way, Salt Lake City, UT 84108, USA.,VA Salt Lake City Healthcare System, 500 S Foothill Drive, Salt Lake City, UT 84148, USA
| | - Peter A Glassman
- The VA HSR&D Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System Los Angeles, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA.,David Geffen School of Medicine at UCLA, Los Angeles, Box 951691, Los Angeles, CA 90095, USA
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Graber CJ, Jones MM, Chou AF, Zhang Y, Goetz MB, Madaras-Kelly K, Samore MH, Glassman PA. Association of Inpatient Antimicrobial Utilization Measures with Antimicrobial Stewardship Activities and Facility Characteristics of Veterans Affairs Medical Centers. J Hosp Med 2017; 12:301-309. [PMID: 28459897 DOI: 10.12788/jhm.2730] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BACKGROUND Antimicrobial stewardship programs (ASPs) have been advocated to improve antimicrobial utilization, but program implementation is variable. Antimicrobial stewardship programs (ASPs) have been advocated to improve antimicrobial utilization, but program implementation is variable. OBJECTIVE To determine associations between ASPs and facility characteristics, and inpatient antimicrobial utilization measures in the Veterans Affairs (VA) system in 2012. DESIGN In 2012, VA administered a survey on antimicrobial stewardship practices to designated ASP contacts at VA acute care hospitals. From the survey, we identified 34 variables across 3 domains (evidence, organizational context, and facilitation) that were assessed using multivariable least absolute shrinkage and selection operator regression against 4 antimicrobial utilization measures from 2012: aggregate acute care antimicrobial use, antimicrobial use in patients with non-infectious primary discharge diagnoses, missed opportunities to convert from parenteral to oral antimicrobial therapy, and double anaerobic coverage. SETTING All 130 VA facilities with acute care services. RESULTS Variables associated with at least 3 favorable changes in antimicrobial utilization included presence of postgraduate physician/pharmacy training programs, number of antimicrobial-specific order sets, frequency of systematic de-escalation review, presence of pharmacists and/or infectious diseases (ID) attendings on acute care ward teams, and formal ID training of the lead ASP pharmacist. Variables associated with 2 unfavorable measures included bed size, the level of engagement with VA Antimicrobial Stewardship Task Force online resources, and utilization of antimicrobial stop orders. CONCLUSIONS Formalization of ASP processes and presence of pharmacy and ID expertise are associated with favorable utilization. Systematic de-escalation review and order set establishment may be high-yield interventions. Journal of Hospital Medicine 2017;12:301-309.
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Affiliation(s)
- Christopher J Graber
- Infectious Diseases Section, VA Greater Los Angeles Healthcare System, Los Angeles, CA; David Geffen School of Medicine at the University of California, Los Angeles, CA
| | - Makoto M Jones
- IDEAS Center, VA Salt Lake City Healthcare System, Salt Lake City, UT; Department of Medicine, University of Utah, Salt Lake City, UT; Division of Epidemiology, University of Utah, Salt Lake City, UT
| | - Ann F Chou
- Department of Family and Preventive Medicine, College of Medicine, University of Oklahoma, Oklahoma City, OK
| | - Yue Zhang
- Department of Medicine, University of Utah, Salt Lake City, UT; Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT
| | - Matthew Bidwell Goetz
- Infectious Diseases Section, VA Greater Los Angeles Healthcare System, Los Angeles, CA; David Geffen School of Medicine at the University of California, Los Angeles, CA
| | - Karl Madaras-Kelly
- VA Medical Center, Boise, Idaho and College of Pharmacy, Idaho State University, Meridian, ID
| | - Matthew H Samore
- IDEAS Center, VA Salt Lake City Healthcare System, Salt Lake City, UT; Department of Medicine, University of Utah, Salt Lake City, UT; Division of Epidemiology, University of Utah, Salt Lake City, UT
| | - Peter A Glassman
- David Geffen School of Medicine at the University of California, Los Angeles, CA; Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA
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Buford VR, Kumar V, Kennedy BR. Relationship of various infection control interventions to the prevalence of multidrug-resistant Pseudomonas aeruginosa among U.S. hospitals. Am J Infect Control 2016; 44:381-6. [PMID: 26804305 DOI: 10.1016/j.ajic.2015.10.033] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Revised: 10/24/2015] [Accepted: 10/29/2015] [Indexed: 11/25/2022]
Abstract
BACKGROUND Health care-associated infections caused by antibiotic-resistant gram-negative bacteria, such as Pseudomonas aeruginosa, are an emerging and increasingly important public health threat. However, there are very few studies that examine the relationships between antimicrobial resistance strategies and interventions and the prevalence of antibiotic-resistant and multidrug-resistant strains of Pseudomonas. METHODS The membership of the Association for Professionals in Infection Control and Epidemiology was invited to participate in a Web-based survey of U.S. acute care hospital infection preventionists. RESULTS A final sample of 225 completed responses was analyzed using correlational techniques. Resistance to gentamicin (r = 0.17, P = .01), imipenem (r = 0.18, P = .02), ceftazidime (r = 0.20, P = .03), and ciprofloxacin (r = 0.15, P = .03) all showed significant direct associations with epidemiologic investigation using molecular testing. A significant inverse relationship was found between resistance to ceftazidime and effective efforts in the identification and isolation of infected patients (r = -0.18, P = .02). CONCLUSIONS The finding of significant direct relationships between antimicrobial resistance and epidemiologic investigations using molecular testing suggests that the increased burden of resistance is associated with molecular testing rather than the intervention driving down rates. Effective identification and isolation of infected patients appeared to be associated with lower resistance rates. Further research is needed to uncover causal relationships.
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Prestinaci F, Pezzotti P, Pantosti A. Antimicrobial resistance: a global multifaceted phenomenon. Pathog Glob Health 2015; 109:309-18. [PMID: 26343252 DOI: 10.1179/2047773215y.0000000030] [Citation(s) in RCA: 1553] [Impact Index Per Article: 155.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Antimicrobial resistance (AMR) is one of the most serious global public health threats in this century. The first World Health Organization (WHO) Global report on surveillance of AMR, published in April 2014, collected for the first time data from national and international surveillance networks, showing the extent of this phenomenon in many parts of the world and also the presence of large gaps in the existing surveillance. In this review, we focus on antibacterial resistance (ABR), which represents at the moment the major problem, both for the high rates of resistance observed in bacteria that cause common infections and for the complexity of the consequences of ABR. We describe the health and economic impact of ABR, the principal risk factors for its emergence and, in particular, we illustrate the highlights of four antibiotic-resistant pathogens of global concern - Staphylococcus aureus, Klebsiella pneumoniae, non-typhoidal Salmonella and Mycobacterium tuberculosis - for whom we report resistance data worldwide. Measures to control the emergence and the spread of ABR are presented.
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Affiliation(s)
- Francesca Prestinaci
- Department of Infectious, Parasitic and Immunomediated Diseases, Istituto Superiore di Sanità , Rome, Italy
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