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Tiwari A, Krolicka A, Tran TT, Räisänen K, Ásmundsdóttir ÁM, Wikmark OG, Lood R, Pitkänen T. Antibiotic resistance monitoring in wastewater in the Nordic countries: A systematic review. ENVIRONMENTAL RESEARCH 2024; 246:118052. [PMID: 38163547 DOI: 10.1016/j.envres.2023.118052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 01/03/2024]
Abstract
The Nordic countries (Denmark, Finland, Iceland, Norway, and Sweden) have effectively kept lower antibiotic-resistant bacterial (ARB) pathogen rates than many other countries. However, in recent years, these five countries have encountered a rise in ARB cases and challenges in treating infections due to the growing prevalence of ARB pathogens. Wastewater-based surveillance (WBS) is a valuable supplement to clinical methods for ARB surveillance, but there is a lack of comprehensive understanding of WBS application for ARB in the Nordic countries. This review aims to compile the latest state-of-the-art developments in WBS for ARB monitoring in the Nordic countries and compare them with clinical surveillance practices. After reviewing 1480 papers from the primary search, 54 were found relevant, and 15 additional WBS-related papers were included. Among 69 studies analyzed, 42 dedicated clinical epidemiology, while 27 focused on wastewater monitoring. The PRISMA review of the literature revealed that Nordic countries focus on four major WBS objectives of ARB: assessing ARB in the human population, identifying ARB evading wastewater treatment, quantifying removal rates, and evaluating potential ARB evolution during the treatment process. In both clinical and wastewater contexts, the most studied targets were pathogens producing carbapenemase and extended-spectrum beta-lactamase (ESBL), primarily Escherichia coli and Klebsiella spp. However, vancomycin-resistant Enterococcus (VRE) and methicillin-resistant Staphylococcus aureus (MRSA) have received more attention in clinical epidemiology than in wastewater studies, probably due to their lower detection rates in wastewater. Clinical surveillance has mostly used culturing, antibiotic susceptibility testing, and genotyping, but WBS employed PCR-based and metagenomics alongside culture-based techniques. Imported cases resulting from international travel and hospitalization abroad appear to have frequently contributed to the rise in ARB pathogen cases in these countries. The many similarities between the Nordic countries (e.g., knowledge exchange practices, antibiotic usage patterns, and the current ARB landscape) could facilitate collaborative efforts in developing and implementing WBS for ARB in population-level screening.
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Affiliation(s)
- Ananda Tiwari
- Expert Microbiology Unit, Finnish Institute for Health and Welfare, 70701, Kuopio, Finland.
| | - Adriana Krolicka
- Norwegian Research Centre AS (NORCE), Nygårdstangen, 5838, Bergen, Norway
| | - Tam T Tran
- Norwegian Research Centre AS (NORCE), Nygårdstangen, 5838, Bergen, Norway
| | - Kati Räisänen
- Expert Microbiology Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | - Odd-Gunnar Wikmark
- Norwegian Research Centre AS (NORCE), Nygårdstangen, 5838, Bergen, Norway; Unit for Environmental Science and Management, North West University, Potchefstroom Campus, Private Bag X6001, Potchefstroom 2520, South Africa
| | - Rolf Lood
- Department of Clinical Sciences Lund, Division of Infection Medicine, Faculty of Medicine, Lund University, Lund, Sweden
| | - Tarja Pitkänen
- Expert Microbiology Unit, Finnish Institute for Health and Welfare, 70701, Kuopio, Finland; Department of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland.
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Tiitola V, Marek M, Korhonen T, Laine T. Enabling value-in-use with digital healthcare technologies: combining service logic and pragmatic constructivism. JOURNAL OF MANAGEMENT & GOVERNANCE 2022. [DOI: 10.1007/s10997-022-09631-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
AbstractThe paper discusses how healthcare providers can enable value-in-use (VIU) using digital technologies in complex healthcare service contexts. Technology providers and public healthcare organizations can have difficulties understanding one another, hindering the possibilities for value-in-use to emerge. Plenty of studies have investigated the value creation in healthcare, often looking at health as value for the patient. We focus on how healthcare providers can create value for themselves to improve their operations and justify the price of new technologies while fully acknowledging the value for the patient as well. The paper uses two in-depth interventionist case studies in Nordic health care: automated screening technology for hospital laboratories and medicine dispensing robotics for home care. We use a novel combination of pragmatic constructivism (PC) and service logic (SL) as method theories to understand the value creation in our cases. Our empirical evidence provide practical examples of how digital technologies can be used to change healthcare practices and how VIU can stem from these changes. As a contribution, we show that healthcare providers can enable value-in-use with digital technologies by altering how care is carried out without hindering what the outcome of the care is for the patient. Digital technologies are there to facilitate such change, but the change still requires that actors involved in care have intention to change how they work. While healthcare bears the responsibility for these changes, technology providers can also have plenty of opportunities for interaction to support or even co-create value together with their customers.
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Sundermann AJ, Chen J, Miller JK, Martin EM, Snyder GM, Van Tyne D, Marsh JW, Dubrawski A, Harrison LH. Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summary. ANTIMICROBIAL STEWARDSHIP & HEALTHCARE EPIDEMIOLOGY : ASHE 2022; 2:e91. [PMID: 36483409 PMCID: PMC9726481 DOI: 10.1017/ash.2021.241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 11/04/2021] [Indexed: 06/17/2023]
Abstract
BACKGROUND Whole-genome sequencing (WGS) has traditionally been used in infection prevention to confirm or refute the presence of an outbreak after it has occurred. Due to decreasing costs of WGS, an increasing number of institutions have been utilizing WGS-based surveillance. Additionally, machine learning or statistical modeling to supplement infection prevention practice have also been used. We systematically reviewed the use of WGS surveillance and machine learning to detect and investigate outbreaks in healthcare settings. METHODS We performed a PubMed search using separate terms for WGS surveillance and/or machine-learning technologies for infection prevention through March 15, 2021. RESULTS Of 767 studies returned using the WGS search terms, 42 articles were included for review. Only 2 studies (4.8%) were performed in real time, and 39 (92.9%) studied only 1 pathogen. Nearly all studies (n = 41, 97.6%) found genetic relatedness between some isolates collected. Across all studies, 525 outbreaks were detected among 2,837 related isolates (average, 5.4 isolates per outbreak). Also, 35 studies (83.3%) only utilized geotemporal clustering to identify outbreak transmission routes. Of 21 studies identified using the machine-learning search terms, 4 were included for review. In each study, machine learning aided outbreak investigations by complementing methods to gather epidemiologic data and automating identification of transmission pathways. CONCLUSIONS WGS surveillance is an emerging method that can enhance outbreak detection. Machine learning has the potential to identify novel routes of pathogen transmission. Broader incorporation of WGS surveillance into infection prevention practice has the potential to transform the detection and control of healthcare outbreaks.
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Affiliation(s)
- Alexander J. Sundermann
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jieshi Chen
- Auton Lab, Carnegie Mellon University, Pittsburgh, Pennsylvania
| | - James K. Miller
- Auton Lab, Carnegie Mellon University, Pittsburgh, Pennsylvania
| | - Elise M. Martin
- Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Infection Prevention and Hospital Epidemiology, UPMC Presbyterian, Pittsburgh, Pennsylvania
| | - Graham M. Snyder
- Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Infection Prevention and Hospital Epidemiology, UPMC Presbyterian, Pittsburgh, Pennsylvania
| | - Daria Van Tyne
- Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Jane W. Marsh
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Artur Dubrawski
- Auton Lab, Carnegie Mellon University, Pittsburgh, Pennsylvania
| | - Lee H. Harrison
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
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Methods Combining Genomic and Epidemiological Data in the Reconstruction of Transmission Trees: A Systematic Review. Pathogens 2022; 11:pathogens11020252. [PMID: 35215195 PMCID: PMC8875843 DOI: 10.3390/pathogens11020252] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/08/2022] [Accepted: 02/11/2022] [Indexed: 11/17/2022] Open
Abstract
In order to better understand transmission dynamics and appropriately target control and preventive measures, studies have aimed to identify who-infected-whom in actual outbreaks. Numerous reconstruction methods exist, each with their own assumptions, types of data, and inference strategy. Thus, selecting a method can be difficult. Following PRISMA guidelines, we systematically reviewed the literature for methods combing epidemiological and genomic data in transmission tree reconstruction. We identified 22 methods from the 41 selected articles. We defined three families according to how genomic data was handled: a non-phylogenetic family, a sequential phylogenetic family, and a simultaneous phylogenetic family. We discussed methods according to the data needed as well as the underlying sequence mutation, within-host evolution, transmission, and case observation. In the non-phylogenetic family consisting of eight methods, pairwise genetic distances were estimated. In the phylogenetic families, transmission trees were inferred from phylogenetic trees either simultaneously (nine methods) or sequentially (five methods). While a majority of methods (17/22) modeled the transmission process, few (8/22) took into account imperfect case detection. Within-host evolution was generally (7/8) modeled as a coalescent process. These practical and theoretical considerations were highlighted in order to help select the appropriate method for an outbreak.
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Holma T, Torvikoski J, Friberg N, Nevalainen A, Tarkka E, Antikainen J, Martelin JJ. Rapid molecular detection of pathogenic microorganisms and antimicrobial resistance markers in blood cultures: evaluation and utility of the next-generation FilmArray Blood Culture Identification 2 panel. Eur J Clin Microbiol Infect Dis 2021; 41:363-371. [PMID: 34350523 PMCID: PMC8831274 DOI: 10.1007/s10096-021-04314-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 07/09/2021] [Indexed: 11/30/2022]
Abstract
Rapid detection of pathogens causing bloodstream infections (BSI) directly from positive blood cultures is of highest importance in order to enable an adequate and timely antimicrobial therapy. In this study, the utility and performance of a recently launched next-generation fully automated test system, the Biofire FilmArray® Blood Culture Identification 2 (BCID2) panel, was evaluated using a set of 103 well-characterized microbial isolates including 29 antimicrobial resistance genes and 80 signal-positive and 23 signal-negative clinical blood culture samples. The results were compared to culture-based reference methods, MALDI-TOF, and/or 16S rDNA sequencing. Of the clinical blood culture samples, 68 were monomicrobial (85.0%) and 12 polymicrobial (15.0%). Six samples contained ESBL (blaCTX-M), two MRSA (mecA), and three MRSE (mecA) isolates. In overall, the FilmArray BCID2 panel detected well on-panel targets and resistance markers from mono- and polymicrobial samples. However, one Klebsiella aerogenes and one Bacteroides ovatus were undetected, and the assay falsely reported one Shigella flexneri as Escherichia coli. Hence, the sensitivity and specificity for detecting microbial species were 98.8% (95%CI, 95.8–99.9%) and 99.9% (95%CI, 99.8–99.9%), respectively. The sensitivity and specificity for detecting of resistance gene markers were 100%. The results were available within 70 min from signal-positive blood cultures with minimal hands-on time. In conclusion, the BCID2 test allows reliable and simplified detection of a vast variety of clinically relevant microbes causing BSI and the most common antimicrobial resistance markers present among these isolates.
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Affiliation(s)
- Tanja Holma
- HUS Diagnostic Center, HUSLAB, Department of Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
| | - Jukka Torvikoski
- HUS Diagnostic Center, HUSLAB, Department of Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Nathalie Friberg
- HUS Diagnostic Center, HUSLAB, Department of Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Annika Nevalainen
- HUS Diagnostic Center, HUSLAB, Department of Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Eveliina Tarkka
- HUS Diagnostic Center, HUSLAB, Department of Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jenni Antikainen
- HUS Diagnostic Center, HUSLAB, Department of Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jari J Martelin
- HUS Diagnostic Center, HUSLAB, Department of Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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Zemmour A, Dali-Yahia R, Maatallah M, Saidi-Ouahrani N, Rahmani B, Benhamouche N, Al-Farsi HM, Giske CG. High-risk clones of extended-spectrum β-lactamase-producing Klebsiella pneumoniae isolated from the University Hospital Establishment of Oran, Algeria (2011-2012). PLoS One 2021; 16:e0254805. [PMID: 34310625 PMCID: PMC8312963 DOI: 10.1371/journal.pone.0254805] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 07/05/2021] [Indexed: 11/18/2022] Open
Abstract
The purpose of the study was to characterize the resistome, virulome, mobilome and Clustered Regularly Interspaced Short Palindromic Repeats-associated (CRISPR-Cas) system of extended-spectrum β-lactamase producing Klebsiella pneumoniae (ESBL-KP) clinical isolates and to determine their phylogenetic relatedness. The isolates were from Algeria, isolated at the University Hospital Establishment of Oran, between 2011 and 2012. ESBL-KP isolates (n = 193) were screened for several antibiotic resistance genes (ARGs) using qPCR followed by Pulsed-Field Gel Electrophoresis (PFGE). Representative isolates were selected from PFGE clusters and subjected to whole-genome sequencing (WGS). Genomic characterization of the WGS data by studying prophages, CRISPR-Cas systems, Multi-Locus Sequence Typing (MLST), serotype, ARGs, virulence genes, plasmid replicons, and their pMLST. Phylogenetic and comparative genomic were done using core genome MLST and SNP-Based analysis. Generally, the ESBL-KP isolates were polyclonal. The whole genome sequences of nineteen isolates were taken of main PFGE clusters. Sixteen sequence types (ST) were found including high-risk clones ST14, ST23, ST37, and ST147. Serotypes K1 (n = 1), K2 (n = 2), K3 (n = 1), K31 (n = 1), K62 (n = 1), and K151 (n = 1) are associated with hyper-virulence. CRISPR-Cas system was found in 47.4%, typed I-E and I-E*. About ARGs, from 193 ESBL-KP, the majority of strains were multidrug-resistant, the CTX-M-1 enzyme was predominant (99%) and the prevalence of plasmid-mediated quinolone resistance (PMQR) genes was high with aac(6')-lb-cr (72.5%) and qnr's (65.8%). From 19 sequenced isolates we identified ESBL, AmpC, and carbapenemase genes: blaCTX-M-15 (n = 19), blaOXA-48 (n = 1), blaCMY-2 (n = 2), and blaCMY-16 (n = 2), as well as non-ESBL genes: qnrB1 (n = 12), qnrS1 (n = 1) and armA (n = 2). We found IncF, IncN, IncL/M, IncA/C2, and Col replicon types, at least once per isolate. This study is the first to report qnrS in ESBL-KP in Algeria. Our analysis shows the concerning co-existence of virulence and resistance genes and would support that genomic surveillance should be a high priority in the hospital environment.
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Affiliation(s)
- Assia Zemmour
- Faculté de Sciences de la Nature et la Vie, Département de Génétique Moléculaire Appliquée, Université des Sciences et la Technologie d’Oran Mohamed-Boudiaf USTOMB, Oran, Algérie
- Laboratoire de Génétique Médicale Appliquée à l’Ophtalmologie, Université d’Oran 1, Oran, Algérie
- * E-mail: ,
| | - Radia Dali-Yahia
- Service de bactériologie, Etablissement Hospitalo-Universitaire 1er Novembre 1954, Oran, Algérie
- Faculté de médicine, Université d’Oran 1, Oran, Algérie
| | - Makaoui Maatallah
- Faculté de pharmacie de Monastir, Laboratoire d’Analyse, Traitement et Valorisation des Polluants de l’Environnement et des Produits (LATVPEP: LR01ES16), Université de Monastir, Monastir, Tunisie
| | - Nadjia Saidi-Ouahrani
- Faculté de Sciences de la Nature et la Vie, Département de Génétique Moléculaire Appliquée, Université des Sciences et la Technologie d’Oran Mohamed-Boudiaf USTOMB, Oran, Algérie
| | - Bouabdallah Rahmani
- Faculté de Génie Electrique, Département d’Electronique, Université des Sciences et la Technologie d’Oran Mohamed-Boudiaf USTOMB, Oran, Algérie
| | - Nora Benhamouche
- Faculté de Sciences de la Nature et la Vie, Département de Génétique Moléculaire Appliquée, Université des Sciences et la Technologie d’Oran Mohamed-Boudiaf USTOMB, Oran, Algérie
| | - Hissa M. Al-Farsi
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
- Central Public Health Laboratories, Ministry of Health, Muscat, Sultanate of Oman
| | - Christian G. Giske
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
- Clinical Microbiology, Karolinska University Hospital Solna, Stockholm, Sweden
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7
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Tsioutis C, Eichel VM, Mutters NT. Transmission of Klebsiella pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae: the role of infection control. J Antimicrob Chemother 2021; 76:i4-i11. [PMID: 33534880 DOI: 10.1093/jac/dkaa492] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND The worldwide spread of carbapenemase-producing Gram-negative bacteria (GNB) in healthcare settings is worrying. Of particular concern is the occurrence of Klebsiella pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae (KP). In recent years, several guidelines and recommendations have focused on the control of carbapenem-resistant GNB. It remains, however, unknown to what extent individual infection control measures are effective. Our aim was to critically review the recent evidence regarding the effectiveness of measures to control KPC-KP spread in healthcare settings. METHODS Critical review of the literature aiming to evaluate, in accordance with published recommendations, all available studies reporting infection control (IC) measures to control KPC-KP published in the past 5 years. RESULTS Among 11 included studies, the majority consisted of outbreak reports, where application of measures was reported in the absence of control groups. Variability was observed related to the frequency of application of recommended measures for control of KPC-KP. Additional measures were recorded, such as environmental sampling and staff screening, whereas compliance with hand hygiene was measured in relatively few studies. Finally, mortality in patients harbouring KPC-KP was notable, reaching 42.9% of included patients. CONCLUSIONS Despite successful control of KPC-KP spread during outbreaks, the impact of individual IC measures is difficult to assess, as the quality of published evidence is low and controlled intervention studies are lacking. The distribution of studies, the number of reported cases and the high mortality rates, clearly show that KPC-KP remains a major healthcare problem worldwide.
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Affiliation(s)
- Constantinos Tsioutis
- European Committee on Infection Control, Basel, Switzerland.,School of Medicine, European University Cyprus, Nicosia, Cyprus
| | - Vanessa M Eichel
- Heidelberg University Hospital, Centre of Infectious Diseases, Heidelberg, Germany
| | - Nico T Mutters
- European Committee on Infection Control, Basel, Switzerland.,Bonn University Hospital, Institute for Hygiene and Public Health, Venusberg-Campus 1, 53127, Bonn, Germany
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Räisänen K, Sarvikivi E, Arifulla D, Pietikäinen R, Forsblom-Helander B, Tarkka E, Anttila VJ, Grönroos JO, Rintala E, Kauranen J, Ahlsved M, Broas M, Mikkola J, Sieberns J, Jalava J, Lyytikäinen O. Three clusters of carbapenemase-producing Citrobacter freundii in Finland, 2016-20. J Antimicrob Chemother 2021; 76:2697-2701. [PMID: 34164687 DOI: 10.1093/jac/dkab209] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 05/31/2021] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES Carbapenemase-producing Enterobacterales (CPE) have spread widely into health care facilities (HCF) but clusters caused by carbapenemase-producing (CP) Citrobacter freundii have been uncommon until recent years. Here we describe CP C. freundii clusters detected in Finland during 2016-20. METHODS As a part of the national CPE surveillance, clinical microbiology laboratories send potential CP C. freundii isolates to the reference laboratory for confirmation and further characterization. Whole genome sequencing (WGS) with Illumina MiSeq sequencer was used to detect clusters. Resistance genes and STs were analysed using SRST2 and typing with core genome (cg) MLST. A case was defined as a patient with a CP C. freundii isolate belonging to one of the detected clusters. RESULTS We detected three CP C. freundii clusters: cluster 1 included 16 cases in five HCFs during 2016-20, cluster 2 had two cases in two HCFs during 2018-19 and cluster 3 had two cases in one HCF in 2020. The isolates (11 clinical and 5 screening) in cluster 1 had KPC-2 carbapenemase and were sequence type (ST)18. Cluster 2 (2 clinical isolates) had OXA-181/GES-5 carbapenemases and were ST604 and cluster 3 (two screening isolates) had KPC-3 carbapenemase and were ST116. None of the cases had a history of recent travel abroad. CONCLUSIONS CP C. freundii also causes outbreaks and can be a reservoir of carbapenemase genes. The long intervals between successive cases, mostly found in clinical specimens in two clusters, suggest that besides unknown carriers, environmental contamination may play a role in transmission.
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Affiliation(s)
- Kati Räisänen
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Emmi Sarvikivi
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Dinah Arifulla
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Risto Pietikäinen
- Department of Internal medicine, Kymenlaakso Central Hospital, Kotka, Finland
| | - Benita Forsblom-Helander
- Clinical Microbiology, University of Helsinki, Helsinki, Finland.,Helsinki University Hospital, Helsinki, Finland
| | - Eveliina Tarkka
- Clinical Microbiology, University of Helsinki, Helsinki, Finland.,Helsinki University Hospital, Helsinki, Finland
| | | | - Juha O Grönroos
- Department of Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Esa Rintala
- Department of Hospital Hygiene & Infection Control, Turku University Hospital, Turku, Finland
| | | | - Matias Ahlsved
- Infection-Hospital Hygiene Unit, Lapland Central Hospital, Rovaniemi, Finland
| | - Markku Broas
- Infection-Hospital Hygiene Unit, Lapland Central Hospital, Rovaniemi, Finland
| | - Janne Mikkola
- Department of Hospital Hygiene and Infection Control, Kanta-Häme Central Hospital, Hämeenlinna, Finland
| | - Jennifer Sieberns
- Joint Municipal Authority for North Karelia Social and Health Services (Siun Sote), Joensuu, Finland
| | - Jari Jalava
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Outi Lyytikäinen
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
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Sun Z, Liu W, Zhang J, Wang S, Yang F, Fang Y, Jiang W, Ding L, Zhao H, Zhang Y. The Direct Semi-Quantitative Detection of 18 Pathogens and Simultaneous Screening for Nine Resistance Genes in Clinical Urine Samples by a High-Throughput Multiplex Genetic Detection System. Front Cell Infect Microbiol 2021; 11:660461. [PMID: 33912478 PMCID: PMC8072482 DOI: 10.3389/fcimb.2021.660461] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 03/22/2021] [Indexed: 01/26/2023] Open
Abstract
Background Urinary tract infections (UTIs) are one the most common infections. The rapid and accurate identification of uropathogens, and the determination of antimicrobial susceptibility, are essential aspects of the management of UTIs. However, existing detection methods are associated with certain limitations. In this study, a new urinary tract infection high-throughput multiplex genetic detection system (UTI-HMGS) was developed for the semi-quantitative detection of 18 pathogens and the simultaneously screening of nine resistance genes directly from the clinical urine sample within 4 hours. Methods We designed and optimized a multiplex polymerase chain reaction (PCR) involving fluorescent dye-labeled specific primers to detect 18 pathogens and nine resistance genes. The specificity of the UTI-HMGS was tested using standard strains or plasmids for each gene target. The sensitivity of the UTI-HMGS assay was tested by the detection of serial tenfold dilutions of plasmids or simulated positive urine samples. We also collected clinical urine samples and used these to perform urine culture and antimicrobial susceptibility testing (AST). Finally, all urine samples were detected by UTI-HMGS and the results were compared with both urine culture and Sanger sequencing. Results UTI-HMGS showed high levels of sensitivity and specificity for the detection of uropathogens when compared with culture and sequencing. In addition, ten species of bacteria and three species of fungi were detected semi-quantitatively to allow accurate discrimination of significant bacteriuria and candiduria. The sensitivity of the UTI-HMGS for the all the target genes could reach 50 copies per reaction. In total, 531 urine samples were collected and analyzed by UTI-HMGS, which exhibited high levels of sensitivity and specificity for the detection of uropathogens and resistance genes when compared with Sanger sequencing. The results from UTI-HMGS showed that the detection rates of 15 pathogens were significantly higher (P<0.05) than that of the culture method. In addition, there were 41(7.72%, 41/531) urine samples were positive for difficult-to-culture pathogens, which were missed detected by routine culture method. Conclusions UTI-HMGS proved to be an efficient method for the direct semi-quantitative detection of 18 uropathogens and the simultaneously screening of nine antibiotic resistance genes in urine samples. The UTI-HMGS could represent an alternative method for the clinical detection and monitoring of antibiotic resistance.
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Affiliation(s)
- Zhaoyang Sun
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Wenjian Liu
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Jinghao Zhang
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Su Wang
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Feng Yang
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Yi Fang
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Wenrong Jiang
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Li Ding
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Hu Zhao
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
| | - Yanmei Zhang
- Department of Laboratory Medicine, Huadong Hospital, Affiliated With Fudan University, Shanghai, China.,Key Laboratory of Clinical Geriatric Medicine, Shanghai, China.,Research Center on Aging and Medicine, Fudan University, Shanghai, China
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10
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Rapid detection of antimicrobial resistance markers with Allplex™ Entero-DR assay directly from positive blood culture bottles. Eur J Clin Microbiol Infect Dis 2020; 40:801-806. [PMID: 33099709 DOI: 10.1007/s10096-020-04082-5] [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: 06/23/2020] [Accepted: 10/21/2020] [Indexed: 10/23/2022]
Abstract
A method for rapid detection of one extended-spectrum β-lactamase (ESBL) and five carbapenemase-encoding genes as well as vancomycin resistance markers directly from blood cultures using the Allplex™ Entero-DR assay (Seegene, Seoul, South Korea) is presented. Altogether 28 previously well-characterized resistant Gram-negative bacilli and Enterococcus spp., and 142 clinical blood cultures containing Gram-negative bacilli or Gram-positive cocci were analyzed. The method had 100% sensitivity and specificity for detecting blaOXA-48-like, blaKPC, blaVIM, blaIMP, blaNDM, blaCTX-M, vanA, and vanB. The lowest detectable amount of viable cells in blood culture samples were 5.39·104 CFU/mL, 6.66·104 CFU/mL, 5.13·103 CFU/mL, 6.09·104 CFU/mL, 6.66·104 CFU/mL, 6.66·104 CFU/mL, 3.12·104 CFU/mL, and 5.34·104 CFU/mL for the blaKPC, blaOXA-48-like, blaVIM, blaIMP, blaNDM, blaCTX-M, vanA, and vanB, respectively. The results were available within 90 min from signal positive blood cultures, as no separate DNA extraction steps were needed, and the assay showed no interference from blood or culture media used allowing reliable and simplified detection of the resistance markers.
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11
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Zhu J, Li Q, Li X, Kang J, Song Y, Song J, Yin D, Duan J. Successful control of the first carbapenem-resistant Klebsiella pneumoniae outbreak in a Chinese hospital 2017-2019. Antimicrob Resist Infect Control 2020; 9:91. [PMID: 32571431 PMCID: PMC7310137 DOI: 10.1186/s13756-020-00757-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 06/11/2020] [Indexed: 12/13/2022] Open
Abstract
Background Carbapenem-resistant Klebsiella pneumoniae (CRKP) is considered as a serious global threat. CRKPs occurred only sporadically in the Second Hospital of Shanxi Medical University. Our study aimed to investigate and control the first outbreak of CRKP in our hospital occurred between October 2017 and August 2019. Methods The antimicrobial stewardship (AMS) workers have been implemented control measures properly. Clinical and epidemiological data were retrospectively collected from medical records. Carbapenemase genes were detected by modified carbapenem inactivation method (mCIM) test and the EDTA-modified carbapenem inactivation method (eCIM) test. Resistance genes were identified by polymerase chain reaction (PCR) and sequencing. Genetic relatedness was studied by multilocus sequence typing (MLST). Results During the outbreak, 31 patients were infected with CRKP isolates. 20 (64.5%) patients were infected with KPC-2 and/or NDM-1 producing K. pneumoniae. Mostly MLST-sequence types belonged to ST11 (21/31). The outbreak was two major K. pneumoniae clusters present in epidemiologically linked patients. Conclusions Setting up AMS workers is potentially a highly efficient strategy for the successful control of the outbreak. A multimodal and multidisciplinary infection control strategy proved to be crucial. The emergence of CRKP in our hospital emphasizes the importance of continuous monitoring of these isolates, which helps to limit the spread of CRKPs and improve the level of management.
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Affiliation(s)
- Jiaying Zhu
- Department of Pharmacy, school of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.,Department of Pharmacy, Baotou Hospital of Traditional Mongolian and Chinese Medicine, Baotou, Inner Mongolia, People's Republic of China
| | - Qi Li
- Department of Pharmacy, school of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China
| | - Xiaoxia Li
- Department of Pharmacy, Second Hospital of Shanxi Medical University, No 382, Wuyi Road, Xinghualing District, Taiyuan, Shanxi, People's Republic of China
| | - Jianbang Kang
- Department of Pharmacy, Second Hospital of Shanxi Medical University, No 382, Wuyi Road, Xinghualing District, Taiyuan, Shanxi, People's Republic of China
| | - Yan Song
- Department of Pharmacy, Second Hospital of Shanxi Medical University, No 382, Wuyi Road, Xinghualing District, Taiyuan, Shanxi, People's Republic of China
| | - Junli Song
- Department of Pharmacy, Second Hospital of Shanxi Medical University, No 382, Wuyi Road, Xinghualing District, Taiyuan, Shanxi, People's Republic of China
| | - Donghong Yin
- Department of Pharmacy, Second Hospital of Shanxi Medical University, No 382, Wuyi Road, Xinghualing District, Taiyuan, Shanxi, People's Republic of China
| | - Jinju Duan
- Department of Pharmacy, Second Hospital of Shanxi Medical University, No 382, Wuyi Road, Xinghualing District, Taiyuan, Shanxi, People's Republic of China.
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12
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Räisänen K, Lyytikäinen O, Kauranen J, Tarkka E, Forsblom-Helander B, Grönroos JO, Vuento R, Arifulla D, Sarvikivi E, Toura S, Jalava J. Molecular epidemiology of carbapenemase-producing Enterobacterales in Finland, 2012-2018. Eur J Clin Microbiol Infect Dis 2020; 39:1651-1656. [PMID: 32307627 PMCID: PMC7427707 DOI: 10.1007/s10096-020-03885-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 03/30/2020] [Indexed: 12/29/2022]
Abstract
Carbapenemase-producing Enterobacterales (CPE) pose an increasing threat to patient safety and healthcare systems globally. We present molecular epidemiology of CPE in Finland during 2012–2018 with detailed characteristics of CPE strains causing clusters during the same time period. All Finnish clinical microbiology laboratories send Enterobacterales isolates with reduced susceptibility to carbapenems or isolates producing carbapenemase to the reference laboratory for further characterization by whole genome sequencing (WGS). In total, 231 CPE strains from 202 patients were identified during 2012–2018. Of the strains, 59% were found by screening and 32% from clinical specimens, the latter were most commonly urine. Travel and/or hospitalization history abroad was reported for 108/171 strains (63%). The most common species were Klebsiella pneumoniae (45%), Escherichia coli (40%), and Citrobacter freundii (6%), and the most common carbapenemase genes blaNDM-like (35%), blaOXA-48-like (33%), and blaKPC-like (31%). During 2012–2018, the annual number of CPE strains increased from 9 to 70 and different sequence types from 7 to 33, and blaOXA-48-like genes became the most prevalent. Of the clusters, 3/8 were linked to traveling or hospitalization abroad and 5/8 were caused by K. pneumoniae clone clonal complex 258. Most of the clusters were caused by K. pneumoniae producing KPC. High variety among different sequence types indicates that majority of CPE cases detected in Finland are likely imported from foreign countries. Nearly one-third of the cases are not found by screening suggesting that there is hidden transmission occurring in the healthcare settings.
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Affiliation(s)
- Kati Räisänen
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
| | - Outi Lyytikäinen
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | - Eveliina Tarkka
- Clinical Microbiology, University of Helsinki, Helsinki, Finland.,Helsinki University Hospital, Helsinki, Finland
| | - Benita Forsblom-Helander
- Clinical Microbiology, University of Helsinki, Helsinki, Finland.,Helsinki University Hospital, Helsinki, Finland
| | - Juha O Grönroos
- Department of Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Risto Vuento
- Department of Microbiology, Fimlab Laboratories Ltd., Tampere, Finland
| | - Dinah Arifulla
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Emmi Sarvikivi
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Saija Toura
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jari Jalava
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
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13
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The Current Burden of Carbapenemases: Review of Significant Properties and Dissemination among Gram-Negative Bacteria. Antibiotics (Basel) 2020; 9:antibiotics9040186. [PMID: 32316342 PMCID: PMC7235769 DOI: 10.3390/antibiotics9040186] [Citation(s) in RCA: 110] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 03/29/2020] [Accepted: 04/01/2020] [Indexed: 11/16/2022] Open
Abstract
Carbapenemases are β-lactamases belonging to different Ambler classes (A, B, D) and can be encoded by both chromosomal and plasmid-mediated genes. These enzymes represent the most potent β-lactamases, which hydrolyze a broad variety of β-lactams, including carbapenems, cephalosporins, penicillin, and aztreonam. The major issues associated with carbapenemase production are clinical due to compromising the activity of the last resort antibiotics used for treating serious infections, and epidemiological due to their dissemination into various bacteria across almost all geographic regions. Carbapenemase-producing Enterobacteriaceae have received more attention upon their first report in the early 1990s. Currently, there is increased awareness of the impact of nonfermenting bacteria, such as Acinetobacter baumannii and Pseudomonas aeruginosa, as well as other Gram-negative bacteria that are carbapenemase-producers. Outside the scope of clinical importance, carbapenemases are also detected in bacteria from environmental and zoonotic niches, which raises greater concerns over their prevalence, and the need for public health measures to control consequences of their propagation. The aims of the current review are to define and categorize the different families of carbapenemases, and to overview the main lines of their spread across different bacterial groups.
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14
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Räisänen K, Koivula I, Ilmavirta H, Puranen S, Kallonen T, Lyytikäinen O, Jalava J. Emergence of ceftazidime-avibactam-resistant Klebsiella pneumoniae during treatment, Finland, December 2018. Euro Surveill 2019; 24:1900256. [PMID: 31088601 PMCID: PMC6518965 DOI: 10.2807/1560-7917.es.2019.24.19.1900256] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 05/07/2019] [Indexed: 11/20/2022] Open
Abstract
In December 2018, a ceftazidime-avibactam (CAZ-AVI)-resistant KPC-2-producing Klebsiella pneumoniae strain was isolated in Finland. CAZ-AVI resistance was observed 34 days after CAZ-AVI treatment in a trauma patient transferred from a hospital in Greece who had been colonised with blaKPC-2-producing K. pneumoniae ST39, and later developed a bloodstream infection. The CAZ-AVI-resistant strain contained a novel 15 amino acid insertion in the KPC-2 protein causing structural changes proximal to the KPC-2 active site.
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Affiliation(s)
- Kati Räisänen
- Department of Health Security, National Institute for Health and Welfare, Helsinki, Finland
| | - Irma Koivula
- Kuopio University Hospital, Unit of Infections and Hospital hygiene, Kuopio University Hospital, Kuopio, Finland
| | | | - Santeri Puranen
- Aalto University, Department of Computer Science, Espoo, Finland
| | - Teemu Kallonen
- Department of Health Security, National Institute for Health and Welfare, Helsinki, Finland
- Department of Biostatistics, University of Oslo, Oslo, Norway
| | - Outi Lyytikäinen
- Department of Health Security, National Institute for Health and Welfare, Helsinki, Finland
| | - Jari Jalava
- Department of Health Security, National Institute for Health and Welfare, Helsinki, Finland
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