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Optimization of Empirical Antimicrobial Therapy in Enterobacterales Bloodstream Infection Using the Extended-Spectrum Beta-Lactamase Prediction Score

Clinical tools for the prediction of antimicrobial resistance have been derived and validated without examination of their implementation in clinical practice. This study examined the impact of utilization of the extended-spectrum beta-lactamase (ESBL) prediction score on the time to initiation of a...

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Autores principales: Haimerl, Brian J., Encinas, Rodrigo, Justo, Julie Ann, Kohn, Joseph, Bookstaver, P. Brandon, Winders, Hana Rac, Al-Hasan, Majdi N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295403/
https://www.ncbi.nlm.nih.gov/pubmed/37370322
http://dx.doi.org/10.3390/antibiotics12061003
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author Haimerl, Brian J.
Encinas, Rodrigo
Justo, Julie Ann
Kohn, Joseph
Bookstaver, P. Brandon
Winders, Hana Rac
Al-Hasan, Majdi N.
author_facet Haimerl, Brian J.
Encinas, Rodrigo
Justo, Julie Ann
Kohn, Joseph
Bookstaver, P. Brandon
Winders, Hana Rac
Al-Hasan, Majdi N.
author_sort Haimerl, Brian J.
collection PubMed
description Clinical tools for the prediction of antimicrobial resistance have been derived and validated without examination of their implementation in clinical practice. This study examined the impact of utilization of the extended-spectrum beta-lactamase (ESBL) prediction score on the time to initiation of appropriate antimicrobial therapy for bloodstream infection (BSI). The quasi-experimental cohort study included hospitalized adults with BSI due to ceftriaxone-resistant (CRO-R) Enterobacterales at three community hospitals in Columbia, South Carolina, USA before (January 2010 to December 2013) and after (January 2014 to December 2019) implementation of an antimicrobial stewardship intervention. In total, 45 and 101 patients with BSI due to CRO-R Enterobacterales were included before and after the intervention, respectively. Overall, the median age was 66 years, 85 (58%) were men, and 86 (59%) had a urinary source of infection. The mean time to appropriate antimicrobial therapy was 78 h before and 46 h after implementation of the antimicrobial stewardship intervention (p = 0.04). Application of the ESBL prediction score as part of an antimicrobial stewardship intervention was associated with a significant reduction in time to appropriate antimicrobial therapy in patients with BSI due to CRO-R Enterobacterales. Utilization of advanced rapid diagnostics may be necessary for a further reduction in time to appropriate antimicrobial therapy in this population.
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spelling pubmed-102954032023-06-28 Optimization of Empirical Antimicrobial Therapy in Enterobacterales Bloodstream Infection Using the Extended-Spectrum Beta-Lactamase Prediction Score Haimerl, Brian J. Encinas, Rodrigo Justo, Julie Ann Kohn, Joseph Bookstaver, P. Brandon Winders, Hana Rac Al-Hasan, Majdi N. Antibiotics (Basel) Article Clinical tools for the prediction of antimicrobial resistance have been derived and validated without examination of their implementation in clinical practice. This study examined the impact of utilization of the extended-spectrum beta-lactamase (ESBL) prediction score on the time to initiation of appropriate antimicrobial therapy for bloodstream infection (BSI). The quasi-experimental cohort study included hospitalized adults with BSI due to ceftriaxone-resistant (CRO-R) Enterobacterales at three community hospitals in Columbia, South Carolina, USA before (January 2010 to December 2013) and after (January 2014 to December 2019) implementation of an antimicrobial stewardship intervention. In total, 45 and 101 patients with BSI due to CRO-R Enterobacterales were included before and after the intervention, respectively. Overall, the median age was 66 years, 85 (58%) were men, and 86 (59%) had a urinary source of infection. The mean time to appropriate antimicrobial therapy was 78 h before and 46 h after implementation of the antimicrobial stewardship intervention (p = 0.04). Application of the ESBL prediction score as part of an antimicrobial stewardship intervention was associated with a significant reduction in time to appropriate antimicrobial therapy in patients with BSI due to CRO-R Enterobacterales. Utilization of advanced rapid diagnostics may be necessary for a further reduction in time to appropriate antimicrobial therapy in this population. MDPI 2023-06-03 /pmc/articles/PMC10295403/ /pubmed/37370322 http://dx.doi.org/10.3390/antibiotics12061003 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Haimerl, Brian J.
Encinas, Rodrigo
Justo, Julie Ann
Kohn, Joseph
Bookstaver, P. Brandon
Winders, Hana Rac
Al-Hasan, Majdi N.
Optimization of Empirical Antimicrobial Therapy in Enterobacterales Bloodstream Infection Using the Extended-Spectrum Beta-Lactamase Prediction Score
title Optimization of Empirical Antimicrobial Therapy in Enterobacterales Bloodstream Infection Using the Extended-Spectrum Beta-Lactamase Prediction Score
title_full Optimization of Empirical Antimicrobial Therapy in Enterobacterales Bloodstream Infection Using the Extended-Spectrum Beta-Lactamase Prediction Score
title_fullStr Optimization of Empirical Antimicrobial Therapy in Enterobacterales Bloodstream Infection Using the Extended-Spectrum Beta-Lactamase Prediction Score
title_full_unstemmed Optimization of Empirical Antimicrobial Therapy in Enterobacterales Bloodstream Infection Using the Extended-Spectrum Beta-Lactamase Prediction Score
title_short Optimization of Empirical Antimicrobial Therapy in Enterobacterales Bloodstream Infection Using the Extended-Spectrum Beta-Lactamase Prediction Score
title_sort optimization of empirical antimicrobial therapy in enterobacterales bloodstream infection using the extended-spectrum beta-lactamase prediction score
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295403/
https://www.ncbi.nlm.nih.gov/pubmed/37370322
http://dx.doi.org/10.3390/antibiotics12061003
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