Modelling antimicrobial resistance transmission to guide personalized antimicrobial stewardship interventions and infection control policies in healthcare setting : a pilot study
© 2023. Springer Nature Limited..
Infection control programs and antimicrobial stewardship have been proven effective in reducing the burden of diseases due to multidrug-resistant organisms, but quantifying the effect of each intervention is an open issue. For this aim, we propose a model to characterize the effect of interventions at single ward level. We adapted the Ross-Macdonald model to describe hospital cross-transmission dynamics of carbapenem resistant Klebsiella pneumoniae (CRKP), considering healthcare workers as the vectors transmitting susceptible and resistant pathogens among admitted patients. The model parameters were estimated from a literature review, further adjusted to reproduce observed clinical outcomes, and validated using real life data from a 2-year study in a university hospital. The model has been further explored through extensive sensitivity analysis, in order to assess the relevance of single interventions as well as their synergistic effects. Our model has been shown to be an effective tool to describe and predict the impact of interventions in reducing the prevalence of CRKP colonisation and infection, and can be extended to other specific hospital and pathological scenarios to produce tailored estimates of the most effective strategies.
Errataetall: | |
---|---|
Medienart: |
E-Artikel |
Erscheinungsjahr: |
2023 |
---|---|
Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
---|---|
Enthalten in: |
Scientific reports - 13(2023), 1 vom: 22. Sept., Seite 15803 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Durazzi, Francesco [VerfasserIn] |
---|
Links: |
---|
Themen: |
Anti-Bacterial Agents |
---|
Anmerkungen: |
Date Completed 25.09.2023 Date Revised 26.01.2024 published: Electronic ErratumIn: Sci Rep. 2024 Jan 9;14(1):866. - PMID 38195764 Citation Status MEDLINE |
---|
doi: |
10.1038/s41598-023-42511-5 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM362338655 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLM362338655 | ||
003 | DE-627 | ||
005 | 20240127231842.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231226s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1038/s41598-023-42511-5 |2 doi | |
028 | 5 | 2 | |a pubmed24n1272.xml |
035 | |a (DE-627)NLM362338655 | ||
035 | |a (NLM)37737286 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Durazzi, Francesco |e verfasserin |4 aut | |
245 | 1 | 0 | |a Modelling antimicrobial resistance transmission to guide personalized antimicrobial stewardship interventions and infection control policies in healthcare setting |b a pilot study |
264 | 1 | |c 2023 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 25.09.2023 | ||
500 | |a Date Revised 26.01.2024 | ||
500 | |a published: Electronic | ||
500 | |a ErratumIn: Sci Rep. 2024 Jan 9;14(1):866. - PMID 38195764 | ||
500 | |a Citation Status MEDLINE | ||
520 | |a © 2023. Springer Nature Limited. | ||
520 | |a Infection control programs and antimicrobial stewardship have been proven effective in reducing the burden of diseases due to multidrug-resistant organisms, but quantifying the effect of each intervention is an open issue. For this aim, we propose a model to characterize the effect of interventions at single ward level. We adapted the Ross-Macdonald model to describe hospital cross-transmission dynamics of carbapenem resistant Klebsiella pneumoniae (CRKP), considering healthcare workers as the vectors transmitting susceptible and resistant pathogens among admitted patients. The model parameters were estimated from a literature review, further adjusted to reproduce observed clinical outcomes, and validated using real life data from a 2-year study in a university hospital. The model has been further explored through extensive sensitivity analysis, in order to assess the relevance of single interventions as well as their synergistic effects. Our model has been shown to be an effective tool to describe and predict the impact of interventions in reducing the prevalence of CRKP colonisation and infection, and can be extended to other specific hospital and pathological scenarios to produce tailored estimates of the most effective strategies | ||
650 | 4 | |a Review | |
650 | 4 | |a Journal Article | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 7 | |a Anti-Bacterial Agents |2 NLM | |
700 | 1 | |a Pezzani, Maria Diletta |e verfasserin |4 aut | |
700 | 1 | |a Arieti, Fabiana |e verfasserin |4 aut | |
700 | 1 | |a Simonetti, Omar |e verfasserin |4 aut | |
700 | 1 | |a Canziani, Lorenzo Maria |e verfasserin |4 aut | |
700 | 1 | |a Carrara, Elena |e verfasserin |4 aut | |
700 | 1 | |a Barbato, Lorenzo |e verfasserin |4 aut | |
700 | 1 | |a Onorati, Francesco |e verfasserin |4 aut | |
700 | 1 | |a Remondini, Daniel |e verfasserin |4 aut | |
700 | 1 | |a Tacconelli, Evelina |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Scientific reports |d 2011 |g 13(2023), 1 vom: 22. Sept., Seite 15803 |w (DE-627)NLM215703936 |x 2045-2322 |7 nnns |
773 | 1 | 8 | |g volume:13 |g year:2023 |g number:1 |g day:22 |g month:09 |g pages:15803 |
856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41598-023-42511-5 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 13 |j 2023 |e 1 |b 22 |c 09 |h 15803 |