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1063. Impact of Rapid Organism Identification and a Standardized Algorithm on Antimicrobial Therapy in Patients With Bacteremia
BACKGROUND: Bloodstream infection is associated with 12% to 32% mortality. The FilmArray® BCID panel is a multiplex polymerase chain reaction assay (PCR) that can rapidly identify the most common bacterial pathogens in the blood and three antimicrobial resistance genes. In April 2015, Abbott Northwe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253470/ http://dx.doi.org/10.1093/ofid/ofy210.900 |
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author | Koutsari, Christina Gens, Krista Holt, Jessica |
author_facet | Koutsari, Christina Gens, Krista Holt, Jessica |
author_sort | Koutsari, Christina |
collection | PubMed |
description | BACKGROUND: Bloodstream infection is associated with 12% to 32% mortality. The FilmArray® BCID panel is a multiplex polymerase chain reaction assay (PCR) that can rapidly identify the most common bacterial pathogens in the blood and three antimicrobial resistance genes. In April 2015, Abbott Northwestern Hospital (ANW) implemented the multiplex PCR panel and a pharmacist-driven process to assist with antibiotic tailoring. In August 2017, a standardized algorithm was approved providing first-line and second-line antimicrobial options for each microbial pathogen included in the multiplex PCR panel. The objective of this study was to compare the time from the multiplex PCR panel result to final appropriate antibiotic therapy (as defined by the standardized algorithm or when clinical decision was indicated) between pre- and post-algorithm implementation in hospitalized patients with bacteremia. METHODS: Retrospective chart review was performed in 93 randomly selected adult patients with ≥1 positive blood culture in November 2016–February 2017 (pre-algorithm) vs. 93 patients in November 2017–February 2018 (post-algorithm) at ANW. RESULTS: The two groups did not differ significantly in terms of age (average ~60 years), sex (45% female), intensive care unit admission on day 1 of bacteremia (~41%), infectious diseases (ID) consult within 72 hours of bacteremia (average 72%), bacteremia source, or etiologic bacteria. The median time to final appropriate antibiotic therapy in response to the multiplex PCR result was 19 hours (interquartile range, IQR 4–38 hours) pre-algorithm and 18 hours (IQR 4–31 hours) post-algorithm (P = 0.34). CONCLUSION: The median time from the multiplex PCR result to final appropriate antibiotic therapy was ~19 hours pre- and post-algorithm. Previous studies showed a median of 21 hours to first appropriate de-escalation. Therefore, ANW performs very well in de-escalating antimicrobial therapy promptly. However, most of the rapidity in antibiotic change was driven by ID providers, who treated >70% of patients. Opportunities for improvement exist for non-ID providers in tailoring antimicrobial therapy and for pharmacists in engaging and providing recommendations in a timely manner. DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6253470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62534702018-11-28 1063. Impact of Rapid Organism Identification and a Standardized Algorithm on Antimicrobial Therapy in Patients With Bacteremia Koutsari, Christina Gens, Krista Holt, Jessica Open Forum Infect Dis Abstracts BACKGROUND: Bloodstream infection is associated with 12% to 32% mortality. The FilmArray® BCID panel is a multiplex polymerase chain reaction assay (PCR) that can rapidly identify the most common bacterial pathogens in the blood and three antimicrobial resistance genes. In April 2015, Abbott Northwestern Hospital (ANW) implemented the multiplex PCR panel and a pharmacist-driven process to assist with antibiotic tailoring. In August 2017, a standardized algorithm was approved providing first-line and second-line antimicrobial options for each microbial pathogen included in the multiplex PCR panel. The objective of this study was to compare the time from the multiplex PCR panel result to final appropriate antibiotic therapy (as defined by the standardized algorithm or when clinical decision was indicated) between pre- and post-algorithm implementation in hospitalized patients with bacteremia. METHODS: Retrospective chart review was performed in 93 randomly selected adult patients with ≥1 positive blood culture in November 2016–February 2017 (pre-algorithm) vs. 93 patients in November 2017–February 2018 (post-algorithm) at ANW. RESULTS: The two groups did not differ significantly in terms of age (average ~60 years), sex (45% female), intensive care unit admission on day 1 of bacteremia (~41%), infectious diseases (ID) consult within 72 hours of bacteremia (average 72%), bacteremia source, or etiologic bacteria. The median time to final appropriate antibiotic therapy in response to the multiplex PCR result was 19 hours (interquartile range, IQR 4–38 hours) pre-algorithm and 18 hours (IQR 4–31 hours) post-algorithm (P = 0.34). CONCLUSION: The median time from the multiplex PCR result to final appropriate antibiotic therapy was ~19 hours pre- and post-algorithm. Previous studies showed a median of 21 hours to first appropriate de-escalation. Therefore, ANW performs very well in de-escalating antimicrobial therapy promptly. However, most of the rapidity in antibiotic change was driven by ID providers, who treated >70% of patients. Opportunities for improvement exist for non-ID providers in tailoring antimicrobial therapy and for pharmacists in engaging and providing recommendations in a timely manner. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6253470/ http://dx.doi.org/10.1093/ofid/ofy210.900 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Koutsari, Christina Gens, Krista Holt, Jessica 1063. Impact of Rapid Organism Identification and a Standardized Algorithm on Antimicrobial Therapy in Patients With Bacteremia |
title | 1063. Impact of Rapid Organism Identification and a Standardized Algorithm on Antimicrobial Therapy in Patients With Bacteremia |
title_full | 1063. Impact of Rapid Organism Identification and a Standardized Algorithm on Antimicrobial Therapy in Patients With Bacteremia |
title_fullStr | 1063. Impact of Rapid Organism Identification and a Standardized Algorithm on Antimicrobial Therapy in Patients With Bacteremia |
title_full_unstemmed | 1063. Impact of Rapid Organism Identification and a Standardized Algorithm on Antimicrobial Therapy in Patients With Bacteremia |
title_short | 1063. Impact of Rapid Organism Identification and a Standardized Algorithm on Antimicrobial Therapy in Patients With Bacteremia |
title_sort | 1063. impact of rapid organism identification and a standardized algorithm on antimicrobial therapy in patients with bacteremia |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253470/ http://dx.doi.org/10.1093/ofid/ofy210.900 |
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