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D'Achille G, Nunzi I, Fioriti S, Cirioni O, Brescini L, Giacometti A, Teodori L, Brenciani A, Giovanetti E, Mingoia M, Morroni G. Clonal dissemination of Klebsiella pneumoniae carrying bla OXA-48 gene in a central Italy hospital. J Glob Antimicrob Resist 2024; 38:339-340. [PMID: 39032696 DOI: 10.1016/j.jgar.2024.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 06/20/2024] [Accepted: 07/13/2024] [Indexed: 07/23/2024] Open
Affiliation(s)
- Gloria D'Achille
- Microbiology Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy
| | - Ilaria Nunzi
- Microbiology Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy
| | - Simona Fioriti
- Infectious Disease Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy
| | - Oscar Cirioni
- Infectious Disease Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy
| | - Lucia Brescini
- Infectious Disease Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy
| | - Andrea Giacometti
- Infectious Disease Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy
| | - Lucia Teodori
- Clinical Microbiology Laboratory, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy
| | - Andrea Brenciani
- Microbiology Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy
| | - Eleonora Giovanetti
- Microbiology Unit, Department of Life and Environmental Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Marina Mingoia
- Microbiology Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy
| | - Gianluca Morroni
- Microbiology Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy.
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Cusack R, Little E, Martin-Loeches I. Practical Lessons on Antimicrobial Therapy for Critically Ill Patients. Antibiotics (Basel) 2024; 13:162. [PMID: 38391547 PMCID: PMC10886263 DOI: 10.3390/antibiotics13020162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/30/2024] [Accepted: 02/02/2024] [Indexed: 02/24/2024] Open
Abstract
Sepsis stands as a formidable global health challenge, with persistently elevated mortality rates in recent decades. Each year, sepsis not only contributes to heightened morbidity but also imposes substantial healthcare costs on survivors. This narrative review aims to highlight the targeted measures that can be instituted to alleviate the incidence and impact of sepsis in intensive care. Here we discuss measures to reduce nosocomial infections and the prevention of equipment and patient colonisation by resilient pathogens. The overarching global crisis of bacterial resistance to newly developed antimicrobial agents intensifies the imperative for antimicrobial stewardship and de-escalation. This urgency has been accentuated in recent years, notably during the COVID-19 pandemic, as high-dose steroids and opportunistic infections presented escalating challenges. Ongoing research into airway colonisation's role in influencing disease outcomes among critically ill patients underscores the importance of tailoring treatments to disease endotypes within heterogeneous populations, which are important lessons for intensivists in training. Looking ahead, the significance of novel antimicrobial delivery systems and drug monitoring is poised to increase. This narrative review delves into the multifaceted barriers and facilitators inherent in effectively treating critically ill patients vulnerable to nosocomial infections. The future trajectory of intensive care medicine hinges on the meticulous implementation of vigilant stewardship programs, robust infection control measures, and the continued exploration of innovative and efficient technological solutions within this demanding healthcare landscape.
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Affiliation(s)
- Rachael Cusack
- Department of Intensive Care Medicine, Multidisciplinary Intensive Care Research Organization (MICRO), St James' Hospital, D08 NHY1 Dublin, Ireland
| | - Elizabeth Little
- Department of Intensive Care Medicine, Multidisciplinary Intensive Care Research Organization (MICRO), St James' Hospital, D08 NHY1 Dublin, Ireland
| | - Ignacio Martin-Loeches
- Department of Intensive Care Medicine, Multidisciplinary Intensive Care Research Organization (MICRO), St James' Hospital, D08 NHY1 Dublin, Ireland
- Hospital Clinic, Universitat de Barcelona, IDIBAPS, CIBERES, 08180 Barcelona, Spain
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Weber A, Neffe L, Diaz LAP, Thoma N, Aghdassi SJS, Denkel LA, Maechler F, Behnke M, Häussler S, Gastmeier P, Kola A. Analysis of transmission-related third-generation cephalosporin-resistant Enterobacterales by electronic data mining and core genome multi-locus sequence typing. J Hosp Infect 2023; 140:96-101. [PMID: 37562589 DOI: 10.1016/j.jhin.2023.07.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/28/2023] [Accepted: 07/30/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND To contain intra-hospital transmission of third-generation cephalosporin-resistant Enterobacterales (3GCR-E), contact isolation precautions are recommended. AIM To quantify transmissions of 3GCR Escherichia coli and 3GCR Klebsiella pneumoniae within a hospital. METHODS An automated outbreak detection system (AODS) was used to identify clusters (N≥2) of 3GCR Enterobacterales for the years 2016, 2018 and 2020. Clusters were defined by phenotypic agreement of microbiological results and spatial and temporal relationship. Core genome multi-locus sequence typing (cgMLST) was used to confirm whether the cluster isolates were transmitted between patients. FINDINGS A total of 4343 3GCR E. coli and 1377 K. pneumoniae isolates were analysed. Among the 3GCR E. coli isolates, the AODS identified 304 isolates as cluster isolates, the median cluster size was two (range: 2-5). The cgMLST analysis revealed that a total of 23 (7.5%) 3GCR E. coli cluster isolates were transmission-associated, of which 20 isolates (87%) were detected in intensive care patients. Among the 3GCR K. pneumoniae isolates, the AODS identified 73 isolates as cluster isolates, the median cluster size was two (range: 2-4). CgMLST revealed that 35 (48%) 3GCR K. pneumoniae cluster isolates were transmission associated, of which 27 isolates (77%) were detected in intensive care patients. CONCLUSION For 3GCR K. pneumoniae, cgMLST confirmed the AODS results more frequently than for 3GCR E. coli. Therefore, contact isolation precautions for 3GCR K. pneumoniae may be appropriate on intensive care units, but only in certain circumstances, such as outbreaks, for Enterobacterales with lower transmissibility, such as E. coli.
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Affiliation(s)
- A Weber
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
| | - L Neffe
- Helmholtz Centre for Infection Research, Department of Molecular Bacteriology, Braunschweig, Germany
| | - L A P Diaz
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
| | - N Thoma
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
| | - S J S Aghdassi
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Digital Clinician Scientist Programme, Berlin, Germany
| | - L A Denkel
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
| | - F Maechler
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
| | - M Behnke
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
| | - S Häussler
- Helmholtz Centre for Infection Research, Department of Molecular Bacteriology, Braunschweig, Germany; TWINCORE, Centre for Experimental and Clinical Infection Research, A Joint Venture of the HZI and the Hannover Medical School, Hannover, Germany
| | - P Gastmeier
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
| | - A Kola
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany.
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Lu Y, Yang J, Zhang L, Chen F, Han P, Fu Y. Characteristics of bacterial community and ARG profiles in the surface and air environments in a spacecraft assembly cleanroom. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 329:121613. [PMID: 37087089 DOI: 10.1016/j.envpol.2023.121613] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/13/2023] [Accepted: 04/09/2023] [Indexed: 05/03/2023]
Abstract
Understanding the microbial communities and antibiotic resistance genes (ARGs) in spacecraft assembly cleanrooms is crucial for spacecraft microbial control and astronaut safety. However, there have been few reports of ARG profiles and their relationship with microbiomes in such environments. In the present study, we assessed the bacterial community and ARGs in the air dust and surface environments of a typical spacecraft assembly cleanroom. Our results show a significant difference in bacterial composition between surfaces and air dust, as they belong to two distinct ecostates. Bacillus and Acinetobacter were significantly enriched in the air samples. Bacterial community network analysis revealed lower topological parameters and robustness of bacterial networks in the air samples. We also observed different distribution patterns of some typical ARGs between surface and air dust samples. Notably, the ermB gene exhibited a relatively high copy number and was enriched in the surface environment, compared to that in the air. Overall, our study provides insight into the complex microbial community and the distribution and transfer of ARGs in spacecraft assembly cleanrooms, and offers important input for developing control strategies against ARGs.
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Affiliation(s)
- Yueying Lu
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China; International Joint Research Center of Aerospace Biotechnology & Medical Engineering, Beihang University, Beijing, 100083, China.
| | - Jianlou Yang
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China; International Joint Research Center of Aerospace Biotechnology & Medical Engineering, Beihang University, Beijing, 100083, China.
| | - Lantao Zhang
- Institute of Manned Space System and Engineering, China Academy of Space Technology, Beijing, 100094, China.
| | - Fangqi Chen
- Shen Yuan Honors College, Beihang University, Beijing, 100191, China.
| | - Pei Han
- Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China.
| | - Yuming Fu
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China; State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, 100083, China; International Joint Research Center of Aerospace Biotechnology & Medical Engineering, Beihang University, Beijing, 100083, China.
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