LIVIVO - Search results -

Search results

Result 1 - 10 of total 121

Search options

Article ; Online: Antimicrobial resistance at the G7.

Glover, Rebecca E / Knight, Gwenan M / Chandler, Clare I R

2021 Volume 373, Page(s) n1417

MeSH term(s)	Drug Resistance, Microbial ; Global Health ; Humans ; International Cooperation ; United Kingdom
Language	English
Publishing date	2021-06-03
Publishing country	England
Document type	Editorial
ZDB-ID	1362901-3
ISSN	1756-1833 ; 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
ISSN (online)	1756-1833
ISSN	0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
DOI	10.1136/bmj.n1417
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Ua VI Zs.10: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾
- See ZB MED holdings
- Order with fees

Article: AHHME: A model for estimating the holistic cost-effectiveness of antimicrobial resistance interventions in food animal production.

Emes, Eve T / Waage, Jeff / Knight, Gwenan M / Naylor, Nichola R

One health (Amsterdam, Netherlands)

2023 Volume 17, Page(s) 100629

Abstract: Antimicrobial resistance (AMR) is considered a global priority for human health, and reducing antimicrobial use in food animals has been suggested as a key area for interventions aiming to reduce resistant infections in humans. In addition to the effect ... ...

Abstract	Antimicrobial resistance (AMR) is considered a global priority for human health, and reducing antimicrobial use in food animals has been suggested as a key area for interventions aiming to reduce resistant infections in humans. In addition to the effect on human health, such interventions may have effects across food animal productivity, healthcare sector costs, and the broader macroeconomy, but these effects are rarely captured in the AMR health economic literature. Without being able to estimate these effects, it is difficult to understand the true cost-effectiveness of antimicrobial stewardship interventions in food animal production, or to correctly design and prioritise such interventions. We explore and demonstrate the potential use of a novel compartment-based mathematical model to estimate the holistic cost-effectiveness of AMR-related interventions in food animal production from a One Health perspective. The Agriculture Human Health Micro-Economic model (AHHME) uses Markov state transition models to model the movement of humans and food animals between health states. It assigns values to these health states utilising empiric approaches, from the perspectives of human health, food animal productivity, labour productivity and healthcare sector costs. Providing AHHME open-source code and interactive online modelling tools allow for capacity building in AMR intervention modelling. This model represents a useful framework for capturing the cost-effectiveness of AMR-related interventions in food animal production in a more holistic way: it can allow us to capture the often-overlooked benefits of such interventions in like terms while considering distributional concerns. It also demonstrates that methodological assumptions such as willingness-to-pay thresholds and discount rates can be just as important to health decision models as epidemiological parameters, and allows these assumptions to be altered. We provide example outputs, and encourage researchers and policymakers to use and adapt our code to explore, design, and prioritise AMR-related interventions in their own country contexts.
Language	English
Publishing date	2023-09-16
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2834831-X
ISSN	2352-7714
ISSN	2352-7714
DOI	10.1016/j.onehlt.2023.100629
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Quantifying patient- and hospital-level antimicrobial resistance dynamics in

Leclerc, Quentin / Clements, Alastair / Dunn, Helen / Hatcher, James / Lindsay, Jodi A / Grandjean, Louis / Knight, Gwenan M

medRxiv : the preprint server for health sciences

2023

Abstract: Antimicrobial resistance (AMR) to all antibiotic classes has been found in the ... ...

Abstract	Antimicrobial resistance (AMR) to all antibiotic classes has been found in the pathogen
Language	English
Publishing date	2023-02-16
Publishing country	United States
Document type	Preprint
DOI	10.1101/2023.02.15.23285946
Database	MEDical Literature Analysis and Retrieval System OnLINE

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article ; Online: Modelling the synergistic effect of bacteriophage and antibiotics on bacteria: Killers and drivers of resistance evolution.

Leclerc, Quentin J / Lindsay, Jodi A / Knight, Gwenan M

PLoS computational biology

2022 Volume 18, Issue 11, Page(s) e1010746

Abstract: Bacteriophage (phage) are bacterial predators that can also spread antimicrobial resistance (AMR) genes between bacteria by generalised transduction. Phage are often present alongside antibiotics in the environment, yet evidence of their joint killing ... ...

Abstract	Bacteriophage (phage) are bacterial predators that can also spread antimicrobial resistance (AMR) genes between bacteria by generalised transduction. Phage are often present alongside antibiotics in the environment, yet evidence of their joint killing effect on bacteria is conflicted, and the dynamics of transduction in such systems are unknown. Here, we combine in vitro data and mathematical modelling to identify conditions where phage and antibiotics act in synergy to remove bacteria or drive AMR evolution. We adapt a published model of phage-bacteria dynamics, including transduction, to add the pharmacodynamics of erythromycin and tetracycline, parameterised from new in vitro data. We simulate a system where two strains of Staphylococcus aureus are present at stationary phase, each carrying either an erythromycin or tetracycline resistance gene, and where multidrug-resistant bacteria can be generated by transduction only. We determine rates of bacterial clearance and multidrug-resistant bacteria appearance, when either or both antibiotics and phage are present at varying timings and concentrations. Although phage and antibiotics act in synergy to kill bacteria, by reducing bacterial growth antibiotics reduce phage production. A low concentration of phage introduced shortly after antibiotics fails to replicate and exert a strong killing pressure on bacteria, instead generating multidrug-resistant bacteria by transduction which are then selected for by the antibiotics. Multidrug-resistant bacteria numbers were highest when antibiotics and phage were introduced simultaneously. The interaction between phage and antibiotics leads to a trade-off between a slower clearing rate of bacteria (if antibiotics are added before phage), and a higher risk of multidrug-resistance evolution (if phage are added before antibiotics), exacerbated by low concentrations of phage or antibiotics. Our results form hypotheses to guide future experimental and clinical work on the impact of phage on AMR evolution, notably for studies of phage therapy which should investigate varying timings and concentrations of phage and antibiotics.
Language	English
Publishing date	2022-11-30
Publishing country	United States
Document type	Journal Article
ZDB-ID	2193340-6
ISSN	1553-7358 ; 1553-734X
ISSN (online)	1553-7358
ISSN	1553-734X
DOI	10.1371/journal.pcbi.1010746
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Correction for Leclerc et al., "Growth-Dependent Predation and Generalized Transduction of Antimicrobial Resistance by Bacteriophage".

Leclerc, Quentin J / Wildfire, Jacob / Gupta, Arya / Lindsay, Jodi A / Knight, Gwenan M

mSystems

2022 Volume 8, Issue 1, Page(s) e0097422

Language	English
Publishing date	2022-12-12
Publishing country	United States
Document type	Journal Article ; Published Erratum
ISSN	2379-5077
ISSN (online)	2379-5077
DOI	10.1128/msystems.00974-22
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Quantifying patient- and hospital-level antimicrobial resistance dynamics in

Leclerc, Quentin / Clements, Alastair / Dunn, Helen / Hatcher, James / Lindsay, Jodi A / Grandjean, Louis / Knight, Gwenan M

Journal of medical microbiology

2023 Volume 72, Issue 7

Abstract: Introduction. ...

Abstract	Introduction.
MeSH term(s)	Child ; Humans ; Anti-Bacterial Agents/pharmacology ; Anti-Bacterial Agents/therapeutic use ; Staphylococcus aureus/genetics ; Methicillin ; Routinely Collected Health Data ; Drug Resistance, Bacterial ; Staphylococcal Infections/epidemiology ; Hospitals, Pediatric
Chemical Substances	Anti-Bacterial Agents ; Methicillin (Q91FH1328A)
Language	English
Publishing date	2023-07-19
Publishing country	England
Document type	Journal Article
ZDB-ID	218356-0
ISSN	1473-5644 ; 0022-2615
ISSN (online)	1473-5644
ISSN	0022-2615
DOI	10.1099/jmm.0.001724
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 634: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Mathematical models of drug-resistant tuberculosis lack bacterial heterogeneity: A systematic review.

Fuller, Naomi M / McQuaid, Christopher F / Harker, Martin J / Weerasuriya, Chathika K / McHugh, Timothy D / Knight, Gwenan M

PLoS pathogens

2024 Volume 20, Issue 4, Page(s) e1011574

Abstract: ... of mathematical models of DR-mycobacteria, including M. tuberculosis. The second objective was to analyse methods ... transmission models of non-treatment intervention impact in M. tuberculosis (n = 58). Studies were set ...

Abstract	Drug-resistant tuberculosis (DR-TB) threatens progress in the control of TB. Mathematical models are increasingly being used to guide public health decisions on managing both antimicrobial resistance (AMR) and TB. It is important to consider bacterial heterogeneity in models as it can have consequences for predictions of resistance prevalence, which may affect decision-making. We conducted a systematic review of published mathematical models to determine the modelling landscape and to explore methods for including bacterial heterogeneity. Our first objective was to identify and analyse the general characteristics of mathematical models of DR-mycobacteria, including M. tuberculosis. The second objective was to analyse methods of including bacterial heterogeneity in these models. We had different definitions of heterogeneity depending on the model level. For between-host models of mycobacterium, heterogeneity was defined as any model where bacteria of the same resistance level were further differentiated. For bacterial population models, heterogeneity was defined as having multiple distinct resistant populations. The search was conducted following PRISMA guidelines in five databases, with studies included if they were mechanistic or simulation models of DR-mycobacteria. We identified 195 studies modelling DR-mycobacteria, with most being dynamic transmission models of non-treatment intervention impact in M. tuberculosis (n = 58). Studies were set in a limited number of specific countries, and 44% of models (n = 85) included only a single level of "multidrug-resistance (MDR)". Only 23 models (8 between-host) included any bacterial heterogeneity. Most of these also captured multiple antibiotic-resistant classes (n = 17), but six models included heterogeneity in bacterial populations resistant to a single antibiotic. Heterogeneity was usually represented by different fitness values for bacteria resistant to the same antibiotic (61%, n = 14). A large and growing body of mathematical models of DR-mycobacterium is being used to explore intervention impact to support policy as well as theoretical explorations of resistance dynamics. However, the majority lack bacterial heterogeneity, suggesting that important evolutionary effects may be missed.
MeSH term(s)	Humans ; Mycobacterium tuberculosis/drug effects ; Tuberculosis, Multidrug-Resistant/drug therapy ; Tuberculosis, Multidrug-Resistant/microbiology ; Models, Theoretical ; Antitubercular Agents/pharmacology ; Antitubercular Agents/therapeutic use
Chemical Substances	Antitubercular Agents
Language	English
Publishing date	2024-04-10
Publishing country	United States
Document type	Journal Article ; Systematic Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2205412-1
ISSN	1553-7374 ; 1553-7374
ISSN (online)	1553-7374
ISSN	1553-7374
DOI	10.1371/journal.ppat.1011574
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Guiding pragmatic treatment choices for rifampicin-resistant tuberculosis in the absence of second-line drug susceptibility testing.

Achar, Jay / Seddon, James A / Knight, Gwenan M / Dodd, Peter J / Esmail, Hanif / Hughes, Jennifer / McQuaid, C Finn

The European respiratory journal

2023 Volume 62, Issue 5

MeSH term(s)	Humans ; Rifampin/therapeutic use ; Mycobacterium tuberculosis ; Microbial Sensitivity Tests ; Tuberculosis, Multidrug-Resistant/drug therapy ; Isoniazid/therapeutic use ; Antitubercular Agents/therapeutic use ; Antitubercular Agents/pharmacology ; Drug Resistance, Bacterial
Chemical Substances	Rifampin (VJT6J7R4TR) ; Isoniazid (V83O1VOZ8L) ; Antitubercular Agents
Language	English
Publishing date	2023-11-29
Publishing country	England
Document type	Letter ; Research Support, Non-U.S. Gov't ; Comment
ZDB-ID	639359-7
ISSN	1399-3003 ; 0903-1936
ISSN (online)	1399-3003
ISSN	0903-1936
DOI	10.1183/13993003.00969-2023
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 2322: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 292: Show issues

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: AHHME

Eve T. Emes / Jeff Waage / Gwenan M. Knight / Nichola R. Naylor

One Health, Vol 17, Iss , Pp 100629- (2023)

A model for estimating the holistic cost-effectiveness of antimicrobial resistance interventions in food animal production

2023

Abstract	Antimicrobial resistance (AMR) is considered a global priority for human health, and reducing antimicrobial use in food animals has been suggested as a key area for interventions aiming to reduce resistant infections in humans. In addition to the effect on human health, such interventions may have effects across food animal productivity, healthcare sector costs, and the broader macroeconomy, but these effects are rarely captured in the AMR health economic literature. Without being able to estimate these effects, it is difficult to understand the true cost-effectiveness of antimicrobial stewardship interventions in food animal production, or to correctly design and prioritise such interventions.We explore and demonstrate the potential use of a novel compartment-based mathematical model to estimate the holistic cost-effectiveness of AMR-related interventions in food animal production from a One Health perspective. The Agriculture Human Health Micro-Economic model (AHHME) uses Markov state transition models to model the movement of humans and food animals between health states. It assigns values to these health states utilising empiric approaches, from the perspectives of human health, food animal productivity, labour productivity and healthcare sector costs. Providing AHHME open-source code and interactive online modelling tools allow for capacity building in AMR intervention modelling.This model represents a useful framework for capturing the cost-effectiveness of AMR-related interventions in food animal production in a more holistic way: it can allow us to capture the often-overlooked benefits of such interventions in like terms while considering distributional concerns. It also demonstrates that methodological assumptions such as willingness-to-pay thresholds and discount rates can be just as important to health decision models as epidemiological parameters, and allows these assumptions to be altered. We provide example outputs, and encourage researchers and policymakers to use and adapt our code to explore, ...
Keywords	Livestock ; One health ; Antimicrobial resistance ; Intervention evaluation ; Health economics ; Medicine (General) ; R5-920
Subject code	360
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Dehydration Tolerance in Epidemic versus Nonepidemic MRSA Demonstrated by Isothermal Microcalorimetry.

Baede, Valérie O / Tavakol, Mehri / Vos, Margreet C / Knight, Gwenan M / van Wamel, Willem J B

Microbiology spectrum

2022 Volume 10, Issue 5, Page(s) e0061522

Abstract: Methicillin-resistant Staphylococcus aureus (MRSA) clusters are considered epidemic or nonepidemic based on their ability to spread effectively. Successful transmission could be influenced by dehydration tolerance. Current methods for determination of ... ...

Abstract	Methicillin-resistant Staphylococcus aureus (MRSA) clusters are considered epidemic or nonepidemic based on their ability to spread effectively. Successful transmission could be influenced by dehydration tolerance. Current methods for determination of dehydration tolerance lack accuracy. Here, a climate-controlled
MeSH term(s)	Humans ; Methicillin-Resistant Staphylococcus aureus ; Staphylococcus aureus ; Staphylococcal Infections/microbiology ; Dehydration ; France ; Anti-Bacterial Agents/pharmacology
Chemical Substances	Anti-Bacterial Agents
Language	English
Publishing date	2022-08-16
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2807133-5
ISSN	2165-0497 ; 2165-0497
ISSN (online)	2165-0497
ISSN	2165-0497
DOI	10.1128/spectrum.00615-22
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

To top

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

Order via subito