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Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling

Patients receiving chronic hemodialysis (CHD) are among the most vulnerable to infections caused by multidrug-resistant organisms (MDRO), which are associated with high rates of morbidity and mortality. Current guidelines to reduce transmission of MDRO in the out-patient dialysis unit are targeted a...

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Autores principales: Wares, Joanna R., Lawson, Barry, Shemin, Douglas, D’Agata, Erika M. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873022/
https://www.ncbi.nlm.nih.gov/pubmed/27195984
http://dx.doi.org/10.1371/journal.pone.0153820
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author Wares, Joanna R.
Lawson, Barry
Shemin, Douglas
D’Agata, Erika M. C.
author_facet Wares, Joanna R.
Lawson, Barry
Shemin, Douglas
D’Agata, Erika M. C.
author_sort Wares, Joanna R.
collection PubMed
description Patients receiving chronic hemodialysis (CHD) are among the most vulnerable to infections caused by multidrug-resistant organisms (MDRO), which are associated with high rates of morbidity and mortality. Current guidelines to reduce transmission of MDRO in the out-patient dialysis unit are targeted at patients considered to be high-risk for transmitting these organisms: those with infected skin wounds not contained by a dressing, or those with fecal incontinence or uncontrolled diarrhea. Here, we hypothesize that targeting patients receiving antimicrobial treatment would more effectively reduce transmission and acquisition of MDRO. We also hypothesize that environmental contamination plays a role in the dissemination of MDRO in the dialysis unit. To address our hypotheses, we built an agent-based model to simulate different treatment strategies in a dialysis unit. Our results suggest that reducing antimicrobial treatment, either by reducing the number of patients receiving treatment or by reducing the duration of the treatment, markedly reduces overall colonization rates and also the levels of environmental contamination in the dialysis unit. Our results also suggest that improving the environmental decontamination efficacy between patient dialysis treatments is an effective method for reducing colonization and contamination rates. These findings have important implications for the development and implementation of future infection prevention strategies.
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spelling pubmed-48730222016-06-09 Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling Wares, Joanna R. Lawson, Barry Shemin, Douglas D’Agata, Erika M. C. PLoS One Research Article Patients receiving chronic hemodialysis (CHD) are among the most vulnerable to infections caused by multidrug-resistant organisms (MDRO), which are associated with high rates of morbidity and mortality. Current guidelines to reduce transmission of MDRO in the out-patient dialysis unit are targeted at patients considered to be high-risk for transmitting these organisms: those with infected skin wounds not contained by a dressing, or those with fecal incontinence or uncontrolled diarrhea. Here, we hypothesize that targeting patients receiving antimicrobial treatment would more effectively reduce transmission and acquisition of MDRO. We also hypothesize that environmental contamination plays a role in the dissemination of MDRO in the dialysis unit. To address our hypotheses, we built an agent-based model to simulate different treatment strategies in a dialysis unit. Our results suggest that reducing antimicrobial treatment, either by reducing the number of patients receiving treatment or by reducing the duration of the treatment, markedly reduces overall colonization rates and also the levels of environmental contamination in the dialysis unit. Our results also suggest that improving the environmental decontamination efficacy between patient dialysis treatments is an effective method for reducing colonization and contamination rates. These findings have important implications for the development and implementation of future infection prevention strategies. Public Library of Science 2016-05-19 /pmc/articles/PMC4873022/ /pubmed/27195984 http://dx.doi.org/10.1371/journal.pone.0153820 Text en © 2016 Wares et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wares, Joanna R.
Lawson, Barry
Shemin, Douglas
D’Agata, Erika M. C.
Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling
title Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling
title_full Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling
title_fullStr Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling
title_full_unstemmed Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling
title_short Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling
title_sort evaluating infection prevention strategies in out-patient dialysis units using agent-based modeling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873022/
https://www.ncbi.nlm.nih.gov/pubmed/27195984
http://dx.doi.org/10.1371/journal.pone.0153820
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