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Chow TG, Brunner ES, Khan DA. Cephalosporin Allergy: Updates on Diagnostic Testing. Curr Allergy Asthma Rep 2024; 24:581-590. [PMID: 39141068 DOI: 10.1007/s11882-024-01171-9] [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] [Accepted: 07/30/2024] [Indexed: 08/15/2024]
Abstract
PURPOSE OF REVIEW Cephalosporins are one of the most prescribed antibiotics worldwide and are implicated in a wide range of hypersensitivity reactions (HSR). This review summarizes recent updates in cephalosporin hypersensitivity with a focus on diagnostic testing. RECENT FINDINGS Reported testing strategies to evaluate different immediate and delayed cephalosporin HSR have included skin testing, in vitro testing, and diagnostic drug challenges. However, the diagnostic performance of in vivo and in vitro tests remains unclear across different hypersensitivity endotypes; adequately powered studies investigating the true positive and negative predictive value of these diagnostic modalities are needed using the reference standard of drug challenges to define cephalosporin hypersensitivity. Refinement of diagnostic testing should be guided by growth in our understanding of cephalosporin antigenic determinants. This growth will be crucial in driving further clarification of cross-reactivity between cephalosporins, and potentially delineating streamlined evaluation processes resulting in reduced unnecessary antibiotic avoidance.
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Affiliation(s)
- Timothy G Chow
- University of Texas Southwestern Medical Center Department of Pediatrics and Internal Medicine, Division of Allergy and Immunology, 5323 Harry Hines Boulevard F04.206, Dallas, TX, 75390-9063, USA.
| | - Elizabeth S Brunner
- University of Texas Southwestern Medical Center Department of Pediatrics and Internal Medicine, Division of Allergy and Immunology, 5323 Harry Hines Boulevard F04.206, Dallas, TX, 75390-9063, USA
| | - David A Khan
- University of Texas Southwestern Medical Center Department of Pediatrics and Internal Medicine, Division of Allergy and Immunology, 5323 Harry Hines Boulevard F04.206, Dallas, TX, 75390-9063, USA
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2
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Baquero F, Pérez-Cobas AE, Aracil-Gisbert S, Coque TM, Zamora J. Selection versus transmission: Quantitative and organismic biology in antibiotic resistance. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 121:105606. [PMID: 38768878 DOI: 10.1016/j.meegid.2024.105606] [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: 02/06/2024] [Revised: 05/12/2024] [Accepted: 05/17/2024] [Indexed: 05/22/2024]
Abstract
We aimed to determine the importance of selection (mostly dependent on the anthropogenic use of antimicrobials) and transmission (mostly dependent on hygiene and sanitation) as drivers of the spread of antibiotic-resistant bacterial populations. The first obstacle to estimating the relative weight of both independent variables is the lack of detailed quantitative data concerning the number of bacterial cells, potentially either pathogenic or harmless, and bacterial species exposed to antimicrobial action in the microbiotas of specific environments. The second obstacle is the difficulty of considering the relative importance of the transmission and selection exerting their combined effects on antibiotic resistance across eco-biological levels. As a consequence, advances are urgently required in quantitative biology and organismic biology of antimicrobial resistance. The absolute number of humans exposed to antibiotics and the absolute number of potentially pathogenic and commensal bacteria in their microbiomes should influence both the selection and transmission of resistant bacterial populations. The "whole Earth" microbiome, with astonishingly high numbers of bacterial cells and species, which are also exposed to anthropogenic antimicrobials in various biogeographical spaces, shapes the antibiotic resistance landscape. These biogeographical spaces influence various intensities of selection and transmission of potentially pathogenic bacteria. While waiting for more precise data, biostatistics analysis and mathematical or computational modeling can provide proxies to compare the influence of selection and transmission in resistant bacteria. In European countries with lower sanitation levels, antibiotic consumption plays a major role in increasing antibiotic resistance; however, this is not the case in countries with high sanitation levels. Although both independent variables are linked, their relative influence on the level of antibiotic resistance varies according to the particular location. Therefore, interventions directed to decrease antibiotic resistance should be designed "a la carte" for specific locations with particular ecological conditions, including sanitation facilities.
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Affiliation(s)
- F Baquero
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Madrid, Spain; Center for Biomedical Research in Epidemiology and Public Health Network (CIBERESP-Group 33), Madrid, Spain.
| | - A E Pérez-Cobas
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Madrid, Spain; Center for Biomedical Research in Infectious Diseases Network (CIBERINFEC), Madrid, Spain
| | - S Aracil-Gisbert
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Madrid, Spain; Center for Biomedical Research in Infectious Diseases Network (CIBERINFEC), Madrid, Spain
| | - T M Coque
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Madrid, Spain; Center for Biomedical Research in Infectious Diseases Network (CIBERINFEC), Madrid, Spain
| | - J Zamora
- Clinical Biostatistics Unit, Ramón y Cajal University Hospital, and Ramón y Cajal Institute for Health Research (IRYCIS) Madrid, Spain; Center for Biomedical Research in Epidemiology and Public Health Network (CIBERESP-Group 42), Madrid, Spain; Institute of Metabolism and Systems Research, Biostatistics in Maternal and Perinatal Health, University of Birmingham, UK
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3
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Nagassar RP, Jalim N, Mitchell A, Harrinanan A, Mohammed A, Dookeeram DK, Marin D, Giangreco L, Lichtenberger P, Marin GH. Antimicrobial Consumption from 2017 to 2021 in East Trinidad and Tobago: A Study in the English-Speaking Caribbean. Antibiotics (Basel) 2023; 12:antibiotics12030466. [PMID: 36978335 PMCID: PMC10044626 DOI: 10.3390/antibiotics12030466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
An antimicrobial consumption (AMC) study was performed in Trinidad and Tobago at the Eastern Regional Health Authority (ERHA). A retrospective, cross-sectional survey was conducted from 1 November 2021 to 30 March 2022. Dosage and package types of amoxicillin, azithromycin, co-amoxiclav, cefuroxime, ciprofloxacin, levofloxacin, moxifloxacin, nitrofurantoin and co-trimoxazole were investigated. Consumption was measured using the World Health Organization’s Antimicrobial Resistance and Consumption Surveillance System methodology version 1.0, as defined daily doses (DDD) per 1000 population per day (DID). They were also analyzed using the ‘Access’, ‘Watch’ and ‘Reserve’ classifications. In the ERHA, AMC ranged from 6.9 DID to 4.6 DID. With regards to intravenous formulations, the ‘Watch’ group displayed increased consumption, from 0.160 DID in 2017 to 0.238 DID in 2019, followed by a subsequent drop in consumption with the onset of the COVID-19 pandemic. Oral co-amoxiclav, oral cefuroxime, oral azithromycin and oral co-trimoxazole were the most highly consumed antibiotics. The hospital started off as the higher consumer of antibiotics, but this changed to the community. The consumption of ‘Watch’ group antibiotics increased from 2017 to 2021, with a drop in consumption of ‘Access’ antibiotics and at the onset of COVID-19. Consumption of oral azithromycin was higher in 2021 than 2020.
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Affiliation(s)
- Rajeev P. Nagassar
- Department of Microbiology, Sangre Grande Hospital, The Eastern Regional Health Authority, Sangre Grande, Trinidad and Tobago
- Correspondence:
| | - Narin Jalim
- Country Health Administration, Nariva/Mayaro, The Eastern Regional Health Authority, Rio Claro, Trinidad and Tobago
| | - Arianne Mitchell
- Pharmacy Department, Sangre Grande Hospital, The Eastern Regional Health Authority, Sangre Grande, Trinidad and Tobago
| | - Ashley Harrinanan
- Country Health Administration, St Andrews/St David, The Eastern Regional Health Authority, Sangre Grande, Trinidad and Tobago
| | - Anisa Mohammed
- Country Health Administration, St Andrews/St David, The Eastern Regional Health Authority, Sangre Grande, Trinidad and Tobago
| | - Darren K. Dookeeram
- Department of Emergency Medicine, Sangre Grande Hospital, Sangre Grande, The Eastern Regional Health Authority, Sangre Grande, Trinidad and Tobago
| | | | - Lucia Giangreco
- Centro Universitario de Farmacología de Argentina (CUFAR), La Plata 1900, Argentina
| | - Paola Lichtenberger
- Division of Infectious Disease, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Gustavo H. Marin
- Centro Universitario de Farmacología de Argentina (CUFAR), La Plata 1900, Argentina
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4
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Cephalosporins as key lead generation beta-lactam antibiotics. Appl Microbiol Biotechnol 2022; 106:8007-8020. [DOI: 10.1007/s00253-022-12272-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Abstract
Antibiotics are antibacterial compounds that interfere with bacterial growth, without harming the infected eukaryotic host. Among the clinical agents, beta-lactams play a major role in treating infected humans and animals. However, the ever-increasing antibiotic resistance crisis is forcing the pharmaceutical industry to search for new antibacterial drugs to combat a range of current and potential multi-resistant bacterial pathogens. In this review, we provide an overview of the development, innovation, and current status of therapeutic applications for beta-lactams with a focus on semi-synthetic cephalosporins. Cephalosporin C (CPC), which is a natural secondary metabolite from the filamentous fungus Acremonium chrysogenum, plays a major and demanding role in both producing modern antibiotics and developing new ones. CPC serves as a core compound for producing semi-synthetic cephalosporins that can control infections with different resistance mechanisms. We therefore summarize our latest knowledge about the CPC biosynthetic pathway and its regulation in the fungal host. Finally, we describe how CPC serves as a key lead generation source for the in vitro and better, in vivo synthesis of 7-aminocephalosporanic acid (7-ACA), the major core compound for the pharmaceutical synthesis of current and future semi-synthetic cephalosporins.
Key points
•Latest literature on cephalosporin generations
•Biotechnical production of cephalosporins
•In vivo production of 7-ACA
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5
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Changes in Sensitization Patterns in the Last 25 Years in 619 Patients with Confirmed Diagnoses of Immediate Hypersensitivity Reactions to Beta-Lactams. Biomedicines 2022; 10:biomedicines10071535. [PMID: 35884838 PMCID: PMC9312895 DOI: 10.3390/biomedicines10071535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/24/2022] [Accepted: 06/25/2022] [Indexed: 11/22/2022] Open
Abstract
Beta-lactam (BL) drugs are the antibiotics most prescribed worldwide due to their broad spectrum of action. They are also the most frequently implied in hypersensitivity reactions with a known specific immunological mechanism. Since the commercialization of benzylpenicillin, allergic reactions have been described; over the years, other new BL drugs provided alternative treatments to penicillin, and amoxicillin is now the most prescribed BL in Europe. Diagnosis of BL allergy is mainly based on skin tests and drug provocation tests, defining different sensitization patterns or phenotypes. In this study, we evaluated 619 patients with a confirmed diagnosis of BL-immediate allergy during the last 25 years, using the same diagnostic procedures with minor adaptations to the successive guidelines. The initial eliciting drug was benzylpenicillin, which changed to amoxicillin with or without clavulanic acid and cephalosporins in recent years. In skin tests, we found a decrease in sensitivity to major and minor penicillin determinants and an increase in sensitivity to amoxicillin and others; this might reflect that the changes in prescription could have influenced the sensitization patterns, thus increasing the incidence of specific reactions to side-chain selective reactions.
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6
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Consumption of Antibacterials for Systemic Use in Slovakia: A National Study and the Quality Indicators for Outpatient Antibiotic Use. Antibiotics (Basel) 2021; 10:antibiotics10101180. [PMID: 34680761 PMCID: PMC8532770 DOI: 10.3390/antibiotics10101180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/15/2021] [Accepted: 09/25/2021] [Indexed: 12/02/2022] Open
Abstract
This paper aims to analyse the consumption of antibiotics in the Slovak health care system from 2011 to 2020. The data source on the consumption of antibiotics is sales data from SUKL and NCZI. The study employed the ATC/DDD Index and focused on the consumption of antibiotics in the primary care sector. Total antibiotic consumption decreased from 19.21 DID in 2011 to 13.16 DID in 2020. Consumption of beta-lactamase-sensitive penicillins, expressed as a percentage of the total consumption of antibiotics, decreased from 8.4% in 2011 to 4.2% in 2020. Consumption of the combination of penicillins, including beta-lactamase inhibitor, expressed as a percentage of the total consumption of antibiotics, increased from 16.2% in 2011 to 17.9% in 2020. Consumption of third- and fourth-generation cephalosporins, expressed as the percentage of the total consumption of antibiotics, increased from 2.0% in 2011 to 4.6% in 2020. Consumption of fluoroquinolones, expressed as the percentage of the total consumption of antibiotics, decreased from 10.7% in 2011 to 8.6% in 2020. Overall, antibiotic consumption significantly changed in Slovakia from 2011 to 2020. The ratio of the consumption of broad-spectrum to the consumption of narrow-spectrum penicillins, cephalosporins and macrolides decreased from 14.98 in 2011 to 13.38 in 2020.
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7
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Adriaenssens N, Bruyndonckx R, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of macrolides, lincosamides and streptogramins in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii30-ii36. [PMID: 34312653 PMCID: PMC8314107 DOI: 10.1093/jac/dkab175] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES Data on the consumption of macrolides, lincosamides and streptogramins (MLS) in the community were collected from 30 EU/European Economic Area (EEA) countries over two decades. This article reviews temporal trends, seasonal variation, presence of change-points and changes in composition of the main subgroups of MLS. METHODS For the period 1997-2017, data on consumption of MLS, i.e. ATC group J01F, in the community and aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology (ATC/DDD index 2019). Consumption was expressed in DDD per 1000 inhabitants per day and in packages per 1000 inhabitants per day. Consumption of MLS was analysed and presented as trends, seasonal variation, presence of change-points and compositional changes, using a classification based on mean plasma elimination half-life for macrolides. RESULTS In 2017, consumption of MLS in the community expressed in DDD per 1000 inhabitants per day varied by a factor of 13 between countries with the highest (Greece) and the lowest (Sweden) consumption. Consumption of MLS did not change significantly up to 2003, after which it significantly increased up to 2007. No significant change was observed after 2007. Consumption of MLS showed high seasonal variation. The proportional consumption of long-acting macrolides significantly increased over time compared with that of intermediate-acting macrolides, and proportional consumption of the latter increased compared with that of short-acting macrolides. CONCLUSIONS Consumption of MLS did not change significantly over time during 2007-2017, while the proportional consumption of long-acting macrolides increased. Seasonal variation remained high, which suggests that MLS are still prescribed inappropriately in many countries.
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Affiliation(s)
- Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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8
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Adriaenssens N, Bruyndonckx R, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Quality appraisal of antibiotic consumption in the community, European Union/European Economic Area, 2009 and 2017. J Antimicrob Chemother 2021; 76:ii60-ii67. [PMID: 34312656 PMCID: PMC8314110 DOI: 10.1093/jac/dkab178] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Objectives The quality of antibiotic consumption in the community can be assessed using 12 drug-specific quality indicators (DSQIs) developed by the European Surveillance of Antimicrobial Consumption (ESAC) project. We compared quality in 2009 and 2017 in the EU/European Economic Area (EEA) and evaluated the impact of using different DDD values (ATC/DDD indices 2011 and 2019) for the 2009 quality assessment using these DSQIs and a joint scientific opinion (JSO) indicator. Methods We calculated the 12 DSQIs and the JSO indicator for 2017 and for 2009 for EU/EEA countries able to deliver values. For each of the indicators we grouped the 2017 and 2009 indicator values into four quartiles. To evaluate changes in quality between 2009 and 2017, we used the quartile distribution of the 2009 indicator values in 30 EU/EEA countries as benchmarks. In addition, we compared the quality assessment for 2009 using the ATC/DDD indices 2011 and 2019. Results In 2017, a difference in the quality of antibiotic consumption in the community between northern and southern EU/EEA countries remained, but also several eastern EU/EEA countries shifted towards lower quality. Quality of antibiotic consumption decreased between 2009 and 2017 in particular indicator values for penicillin, quinolone, relative β-lactam and broad- versus narrow-spectrum antibiotic consumption, and seasonal variation. Using different ATC/DDD indices did not substantially change countries’ ranking based on their DSQI values. Conclusions The quality of antibiotic consumption in the community as measured by the DSQIs further decreased between 2009 and 2017, especially in Southern and Eastern European countries. A continuous effort to improve antibiotic consumption is essential to reduce antibiotic consumption in general and the use of broad-spectrum antibiotics in particular.
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Affiliation(s)
- Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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9
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Bruyndonckx R, Adriaenssens N, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of antibiotics in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii7-ii13. [PMID: 34312654 PMCID: PMC8314117 DOI: 10.1093/jac/dkab172] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Objectives Data on antibiotic consumption in the community were collected from 30 EU/EEA countries over two decades. This article reviews temporal trends, seasonal variation, presence of change-points and changes in the composition of the main antibiotic groups. Methods For the period 1997–2017, data on consumption of antibiotics, i.e. antibacterials for systemic use (ATC group J01), in the community, aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology (ATC/DDD index 2019). Consumption was expressed in DDD per 1000 inhabitants per day and in packages per 1000 inhabitants per day. Antibiotic consumption was analysed based on ATC-3 groups, and presented as trends, seasonal variation, presence of change-points and compositional changes. Results In 2017, antibiotic consumption in the community expressed in DDD per 1000 inhabitants per day varied by a factor 3.6 between countries with the highest (Greece) and the lowest (the Netherlands) consumption. Antibiotic consumption in the EU/EEA did not change significantly over time. Antibiotic consumption showed a significant seasonal variation, which decreased over time. The number of DDD per package significantly increased over time. The proportional consumption of sulphonamides and trimethoprim (J01E) relative to other groups significantly decreased over time, while the proportional consumption of other antibacterials (J01X) relative to other groups significantly increased over time. Conclusions Overall, antibiotic consumption in the community in the EU/EEA did not change during 1997–2017, while seasonal variation consistently decreased over time. The number of DDD per package increased during 1997–2017.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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10
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Bruyndonckx R, Hoxha A, Quinten C, Ayele GM, Coenen S, Versporten A, Adriaenssens N, Muller A, Heuer O, Monnet DL, Goossens H, Molenberghs G, Weist K, Hens N. Change-points in antibiotic consumption in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii68-ii78. [PMID: 34312659 PMCID: PMC8314102 DOI: 10.1093/jac/dkab179] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES Surveillance of antibiotic consumption in the community is of utmost importance to inform and evaluate control strategies. Data on two decades of antibiotic consumption in the community were collected from 30 EU/European Economic Area (EEA) countries. This article reviews temporal trends and the presence of abrupt changes in subgroups of relevance in antimicrobial stewardship. METHODS For the period 1997-2017, data on yearly antibiotic consumption in the community, aggregated at the level of the active substance, were collected using the WHO ATC classification and expressed in DDD (ATC/DDD index 2019) per 1000 inhabitants per day. We applied a range of non-linear mixed models to assess the presence of changes in the consumption of antibacterials for systemic use (ATC group J01) and eight antibiotic subgroups. RESULTS For the majority of the studied groups, a country-specific change-point model provided the best fit. Depending on the antibiotic group/subgroup and on the country, change-points were spread out between 2000 and 2013. CONCLUSIONS Due to the heterogeneity in antibiotic consumption in the community across EU/EEA countries, a country-specific change-point model provided the better fit. Given the limitations of this model, our recommendation for the included countries is to carefully interpret the country-specific results presented in this article and to use the tutorial included in this series to conduct their own change-point analysis when evaluating the impact of changes in regulations, public awareness campaigns, and other national interventions to improve antibiotic consumption in the community.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | | | - Chantal Quinten
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | | | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Arno Muller
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Ole Heuer
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
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Bruyndonckx R, Coenen S, Adriaenssens N, Versporten A, Monnet DL, Goossens H, Molenberghs G, Weist K, Hens N. Analysing the trend over time of antibiotic consumption in the community: a tutorial on the detection of common change-points. J Antimicrob Chemother 2021; 76:ii79-ii85. [PMID: 34312655 PMCID: PMC8314099 DOI: 10.1093/jac/dkab180] [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] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES This tutorial describes and illustrates statistical methods to detect time trends possibly including abrupt changes (referred to as change-points) in the consumption of antibiotics in the community. METHODS For the period 1997-2017, data on consumption of antibacterials for systemic use (ATC group J01) in the community, aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology and expressed in DDD (ATC/DDD index 2019) per 1000 inhabitants per day. Trends over time and presence of common change-points were studied through a set of non-linear mixed models. RESULTS After a thorough description of the set of models used to assess the time trend and presence of common change-points herein, the methodology was applied to the consumption of antibacterials for systemic use (ATC J01) in 25 EU/European Economic Area (EEA) countries. The best fit was obtained for a model including two change-points: one in the first quarter of 2004 and one in the last quarter of 2008. CONCLUSIONS Allowing for the inclusion of common change-points improved model fit. Individual countries investigating changes in their antibiotic consumption pattern can use this tutorial to analyse their country data.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Klaus Weist
- Disease Programmes, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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12
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Bruyndonckx R, Adriaenssens N, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of antibiotics in the community, European Union/European Economic Area, 1997-2017: data collection, management and analysis. J Antimicrob Chemother 2021; 76:ii2-ii6. [PMID: 34312651 PMCID: PMC8314094 DOI: 10.1093/jac/dkab171] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVES This article introduces a series of articles on antibiotic consumption in the community between 1997 and 2017, which provide an update of previous articles covering the periods 1997-2003 and 1997-2009. METHODS In this article, differences in participating countries, the ATC/DDD classification system, and data collection, validation and analysis between the current and previous series are described. RESULTS In the previous series, 33 European countries provided valid data for further analysis, while the current series focused on 30 countries belonging to the EU or the European Economic Area (EEA). For both series, data were collected in accordance with the WHO ATC classification system. While the previous series reported data in accordance with the ATC/DDD index 2011, the current series employed the ATC/DDD index 2019. Both series focused on consumption of antibacterials for systemic use (ATC J01) and collected data expressed in DDD per 1000 inhabitants per day and packages per 1000 inhabitants per day. When studying consumption expressed in packages per 1000 inhabitants per day, countries reporting total care data, i.e. community and hospital sector combined, were included in the previous series but excluded in the current series. While the previous series used non-linear mixed models to evaluate time trends in antibiotic consumption, the current series allowed for inclusion of change-points with a data-driven location. In addition, both series assessed the composition and quality of antibiotic consumption in the EU/EEA. CONCLUSIONS The updated analyses of two decades of ESAC-Net data provide the most comprehensive and detailed description of antibiotic consumption in the community in Europe.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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