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74. Interrupted Time Series Analysis of the Impact of Fluoroquinolone Cascade Reporting
BACKGROUND: Cascade reporting is a form of selective reporting where antibiotic susceptibility results are revealed in a sequential order to optimize antibiotic use. On May 1, 2019, Virginia Commonwealth University Health implemented cascade reporting for ciprofloxacin and levofloxacin for E. coli f...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777440/ http://dx.doi.org/10.1093/ofid/ofaa439.119 |
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author | Nestler, Matthew Markley, John D Noda, Andrew Godbout, Emily Kim, Jihye Lee, Kimberly B Doern, Christopher Doern, Christopher Bryson, Alexandra L Doll, Michelle Bearman, Gonzalo Stevens, Michael |
author_facet | Nestler, Matthew Markley, John D Noda, Andrew Godbout, Emily Kim, Jihye Lee, Kimberly B Doern, Christopher Doern, Christopher Bryson, Alexandra L Doll, Michelle Bearman, Gonzalo Stevens, Michael |
author_sort | Nestler, Matthew |
collection | PubMed |
description | BACKGROUND: Cascade reporting is a form of selective reporting where antibiotic susceptibility results are revealed in a sequential order to optimize antibiotic use. On May 1, 2019, Virginia Commonwealth University Health implemented cascade reporting for ciprofloxacin and levofloxacin for E. coli from urine cultures. We hypothesize that suppressing fluoroquinolone (FQ) results for urine isolate E. coli susceptibility panels using cascade reporting led to a decrease in the overall rate of inpatient FQ use. METHODS: We compared inpatient FQ use (in days of therapy (DOT)/1000 patient days (PD)) for the one-year pre-cascade period (May 2018-April 2019) to the one-year post cascade period (May 2019-April 2020). Inpatient FQ use for May 2018-April 2020 was modeled as an interrupted time series (ITS) using ordinary least squares regression. The regression model followed the form of Y = B(0) +B(1)T + B(2) X + B(3) XT with Y = (DOT/1,000 PD), T = time in months, X = cascade reporting represented with a binary digit, and XT= time since cascade reporting was implemented. Results were examined for autocorrelation and lag effects. Analysis conducted using Microsoft Excel and Python Statsmodel library v0.11.1. RESULTS: A segmented regression model was successfully fitted with R^2 = 0.73 (Figure 1). The pre-intervention slope (T), intervention change (X), and post-intervention slope (XT) were -3.9, -2.3, and 3.8 DOT respectively. A significant positive change in pre versus post intervention slope was detected (p = 0.01). [Image: see text] CONCLUSION: Results showed no significant change in FQ DOT/1000 PD when cascade reporting was implemented in May 2019. This may be due to empiric prescribing of FQs in the inpatient setting, due to the fact the rate of FQ use was already decreasing prior to cascade reporting adoption, or due to other factors. We detected a significant positive change in the slope of FQ from -4 to 4 DOT/1000 PD each month post-cascade reporting. Our hospital has had a decrease in FQ use over the past 8 years so this may be due to a ‘floor’ effect where the true minimum of necessary FQ use was reached; further investigation is warranted. We believe our data will be of interest to other Antimicrobial Stewardship Programs considering cascade reporting. DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-7777440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77774402021-01-07 74. Interrupted Time Series Analysis of the Impact of Fluoroquinolone Cascade Reporting Nestler, Matthew Markley, John D Noda, Andrew Godbout, Emily Kim, Jihye Lee, Kimberly B Doern, Christopher Doern, Christopher Bryson, Alexandra L Doll, Michelle Bearman, Gonzalo Stevens, Michael Open Forum Infect Dis Poster Abstracts BACKGROUND: Cascade reporting is a form of selective reporting where antibiotic susceptibility results are revealed in a sequential order to optimize antibiotic use. On May 1, 2019, Virginia Commonwealth University Health implemented cascade reporting for ciprofloxacin and levofloxacin for E. coli from urine cultures. We hypothesize that suppressing fluoroquinolone (FQ) results for urine isolate E. coli susceptibility panels using cascade reporting led to a decrease in the overall rate of inpatient FQ use. METHODS: We compared inpatient FQ use (in days of therapy (DOT)/1000 patient days (PD)) for the one-year pre-cascade period (May 2018-April 2019) to the one-year post cascade period (May 2019-April 2020). Inpatient FQ use for May 2018-April 2020 was modeled as an interrupted time series (ITS) using ordinary least squares regression. The regression model followed the form of Y = B(0) +B(1)T + B(2) X + B(3) XT with Y = (DOT/1,000 PD), T = time in months, X = cascade reporting represented with a binary digit, and XT= time since cascade reporting was implemented. Results were examined for autocorrelation and lag effects. Analysis conducted using Microsoft Excel and Python Statsmodel library v0.11.1. RESULTS: A segmented regression model was successfully fitted with R^2 = 0.73 (Figure 1). The pre-intervention slope (T), intervention change (X), and post-intervention slope (XT) were -3.9, -2.3, and 3.8 DOT respectively. A significant positive change in pre versus post intervention slope was detected (p = 0.01). [Image: see text] CONCLUSION: Results showed no significant change in FQ DOT/1000 PD when cascade reporting was implemented in May 2019. This may be due to empiric prescribing of FQs in the inpatient setting, due to the fact the rate of FQ use was already decreasing prior to cascade reporting adoption, or due to other factors. We detected a significant positive change in the slope of FQ from -4 to 4 DOT/1000 PD each month post-cascade reporting. Our hospital has had a decrease in FQ use over the past 8 years so this may be due to a ‘floor’ effect where the true minimum of necessary FQ use was reached; further investigation is warranted. We believe our data will be of interest to other Antimicrobial Stewardship Programs considering cascade reporting. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2020-12-31 /pmc/articles/PMC7777440/ http://dx.doi.org/10.1093/ofid/ofaa439.119 Text en © The Author 2020. 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 | Poster Abstracts Nestler, Matthew Markley, John D Noda, Andrew Godbout, Emily Kim, Jihye Lee, Kimberly B Doern, Christopher Doern, Christopher Bryson, Alexandra L Doll, Michelle Bearman, Gonzalo Stevens, Michael 74. Interrupted Time Series Analysis of the Impact of Fluoroquinolone Cascade Reporting |
title | 74. Interrupted Time Series Analysis of the Impact of Fluoroquinolone Cascade Reporting |
title_full | 74. Interrupted Time Series Analysis of the Impact of Fluoroquinolone Cascade Reporting |
title_fullStr | 74. Interrupted Time Series Analysis of the Impact of Fluoroquinolone Cascade Reporting |
title_full_unstemmed | 74. Interrupted Time Series Analysis of the Impact of Fluoroquinolone Cascade Reporting |
title_short | 74. Interrupted Time Series Analysis of the Impact of Fluoroquinolone Cascade Reporting |
title_sort | 74. interrupted time series analysis of the impact of fluoroquinolone cascade reporting |
topic | Poster Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777440/ http://dx.doi.org/10.1093/ofid/ofaa439.119 |
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