Cargando…

1033. Effectiveness of a Physician-Driven Automated Antibiotic Time Out in the Setting of Gram-negative Bacteremia

BACKGROUND: In an effort to minimize complications associated with over-utilization of antibiotics, many antimicrobial stewardship programs have incorporated an antibiotic time out (ATO). Despite the increasing adoption of the ATO, limited data are available to support its effectiveness. This study...

Descripción completa

Detalles Bibliográficos
Autores principales: Mohayya, Sana, Narayanan, Navaneeth, Cimilluca, Daniel, Vaidya, Parth, Malanowski, Alexander, Bhowmick, Tanaya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811172/
http://dx.doi.org/10.1093/ofid/ofz360.897
_version_ 1783462416517955584
author Mohayya, Sana
Narayanan, Navaneeth
Cimilluca, Daniel
Vaidya, Parth
Malanowski, Alexander
Bhowmick, Tanaya
author_facet Mohayya, Sana
Narayanan, Navaneeth
Cimilluca, Daniel
Vaidya, Parth
Malanowski, Alexander
Bhowmick, Tanaya
author_sort Mohayya, Sana
collection PubMed
description BACKGROUND: In an effort to minimize complications associated with over-utilization of antibiotics, many antimicrobial stewardship programs have incorporated an antibiotic time out (ATO). Despite the increasing adoption of the ATO, limited data are available to support its effectiveness. This study was designed to assess the impact of an automated ATO integrated into the electronic medical record (EMR) on the rate of antibiotic modification in patients receiving broad-spectrum antibiotic(s) for Gram-negative bacteremia (GNB). METHODS: This was a single-center retrospective cohort study of inpatients from January 2017 to June 2018 conducted at a large academic medical center. ATO was implemented on October 31, 2017. Adult patients with GNB who received at least 72 hours of a systemic antibiotic were included. Patients with neutropenia or polymicrobial infections were excluded. The primary outcome was the proportion of patients who received a modification of therapy within 24 hours of final culture results. Secondary outcomes included modification at any point in therapy, time to modification of therapy, time to de-escalation, and days of therapy of broad-spectrum antibiotics. RESULTS: There was a total of 88 patients who met inclusion criteria, 37 patients pre-ATO and 51 patients post-ATO. The primary outcome of modification of therapy within 24 hours of final culture results was not significantly different for patients in the pre-ATO and post-ATO groups (19% vs. 20%, P = 0.94, respectively). The secondary outcome of modification of therapy at any point in therapy was not significantly different between the two groups (62% vs. 66%, P = 0.67). Of the 47 patients who received a modification of therapy, the mean time to modification was significantly shorter in the post-ATO group (52.8 hours vs. 45.26 hours, P < 0.05,). All other secondary outcomes were not significantly different between study groups. CONCLUSION: The ATO alert was not associated with a higher rate of antibiotic modification within 24 hours of culture results in patients with GNB, although there was a significant reduction in the time to antibiotic modification. Further efforts are needed to improve the time to modification and optimize antibiotic prescribing practices. DISCLOSURES: All authors: No reported disclosures.
format Online
Article
Text
id pubmed-6811172
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-68111722019-10-29 1033. Effectiveness of a Physician-Driven Automated Antibiotic Time Out in the Setting of Gram-negative Bacteremia Mohayya, Sana Narayanan, Navaneeth Cimilluca, Daniel Vaidya, Parth Malanowski, Alexander Bhowmick, Tanaya Open Forum Infect Dis Abstracts BACKGROUND: In an effort to minimize complications associated with over-utilization of antibiotics, many antimicrobial stewardship programs have incorporated an antibiotic time out (ATO). Despite the increasing adoption of the ATO, limited data are available to support its effectiveness. This study was designed to assess the impact of an automated ATO integrated into the electronic medical record (EMR) on the rate of antibiotic modification in patients receiving broad-spectrum antibiotic(s) for Gram-negative bacteremia (GNB). METHODS: This was a single-center retrospective cohort study of inpatients from January 2017 to June 2018 conducted at a large academic medical center. ATO was implemented on October 31, 2017. Adult patients with GNB who received at least 72 hours of a systemic antibiotic were included. Patients with neutropenia or polymicrobial infections were excluded. The primary outcome was the proportion of patients who received a modification of therapy within 24 hours of final culture results. Secondary outcomes included modification at any point in therapy, time to modification of therapy, time to de-escalation, and days of therapy of broad-spectrum antibiotics. RESULTS: There was a total of 88 patients who met inclusion criteria, 37 patients pre-ATO and 51 patients post-ATO. The primary outcome of modification of therapy within 24 hours of final culture results was not significantly different for patients in the pre-ATO and post-ATO groups (19% vs. 20%, P = 0.94, respectively). The secondary outcome of modification of therapy at any point in therapy was not significantly different between the two groups (62% vs. 66%, P = 0.67). Of the 47 patients who received a modification of therapy, the mean time to modification was significantly shorter in the post-ATO group (52.8 hours vs. 45.26 hours, P < 0.05,). All other secondary outcomes were not significantly different between study groups. CONCLUSION: The ATO alert was not associated with a higher rate of antibiotic modification within 24 hours of culture results in patients with GNB, although there was a significant reduction in the time to antibiotic modification. Further efforts are needed to improve the time to modification and optimize antibiotic prescribing practices. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6811172/ http://dx.doi.org/10.1093/ofid/ofz360.897 Text en © The Author(s) 2019. 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
Mohayya, Sana
Narayanan, Navaneeth
Cimilluca, Daniel
Vaidya, Parth
Malanowski, Alexander
Bhowmick, Tanaya
1033. Effectiveness of a Physician-Driven Automated Antibiotic Time Out in the Setting of Gram-negative Bacteremia
title 1033. Effectiveness of a Physician-Driven Automated Antibiotic Time Out in the Setting of Gram-negative Bacteremia
title_full 1033. Effectiveness of a Physician-Driven Automated Antibiotic Time Out in the Setting of Gram-negative Bacteremia
title_fullStr 1033. Effectiveness of a Physician-Driven Automated Antibiotic Time Out in the Setting of Gram-negative Bacteremia
title_full_unstemmed 1033. Effectiveness of a Physician-Driven Automated Antibiotic Time Out in the Setting of Gram-negative Bacteremia
title_short 1033. Effectiveness of a Physician-Driven Automated Antibiotic Time Out in the Setting of Gram-negative Bacteremia
title_sort 1033. effectiveness of a physician-driven automated antibiotic time out in the setting of gram-negative bacteremia
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811172/
http://dx.doi.org/10.1093/ofid/ofz360.897
work_keys_str_mv AT mohayyasana 1033effectivenessofaphysiciandrivenautomatedantibiotictimeoutinthesettingofgramnegativebacteremia
AT narayanannavaneeth 1033effectivenessofaphysiciandrivenautomatedantibiotictimeoutinthesettingofgramnegativebacteremia
AT cimillucadaniel 1033effectivenessofaphysiciandrivenautomatedantibiotictimeoutinthesettingofgramnegativebacteremia
AT vaidyaparth 1033effectivenessofaphysiciandrivenautomatedantibiotictimeoutinthesettingofgramnegativebacteremia
AT malanowskialexander 1033effectivenessofaphysiciandrivenautomatedantibiotictimeoutinthesettingofgramnegativebacteremia
AT bhowmicktanaya 1033effectivenessofaphysiciandrivenautomatedantibiotictimeoutinthesettingofgramnegativebacteremia