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1030. Analysis of a Novel Mortality Prediction Rule for Organizing and Guiding Antimicrobial Stewardship Team Activities
BACKGROUND: Antimicrobial stewardship team (AST) surveillance at our hospital is facilitated by an internally-developed database. In 2013, the database was expanded to incorporate a validated internally-developed prediction rule for patient mortality within 30 days of hospital admission. AST prospec...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811276/ http://dx.doi.org/10.1093/ofid/ofz360.894 |
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author | Collins, Curtis D Scheidel, Caleb Dietzel, Christopher J Leeman, Lauren R Morrin, Cheryl A Malani, Anurag N |
author_facet | Collins, Curtis D Scheidel, Caleb Dietzel, Christopher J Leeman, Lauren R Morrin, Cheryl A Malani, Anurag N |
author_sort | Collins, Curtis D |
collection | PubMed |
description | BACKGROUND: Antimicrobial stewardship team (AST) surveillance at our hospital is facilitated by an internally-developed database. In 2013, the database was expanded to incorporate a validated internally-developed prediction rule for patient mortality within 30 days of hospital admission. AST prospective audit and feedback expanded to include all antimicrobials prescribed in patients with the highest risk for mortality determined by risk score. This study describes the impact of an expanded AST review in patients at the highest risk for mortality. METHODS: This retrospective, observational study analyzed all adult patients with the highest mortality risk score who received antimicrobials not historically captured via AST review. Patients were identified through administrative and AST databases. Study periods were defined as 2011 – Q3 2013 (historical group) and Q4 2013 – 2018 (intervention group). Primary and secondary outcomes were assessed for confounders including demographic data and infection-related diagnoses. Outcomes were assessed using both unweighted and propensity score weighted versions of the t-test or Wilcoxon rank-sum test for continuous variables and the chi-squared test or Fisher’s Exact test for discrete variables. RESULTS: A total of 2,852 and 5,460 patients were included in the historical and intervention groups, respectively. After adjusting for demographic and clinical characteristics, there were significant reductions in median antimicrobial duration (5 vs. 4, P = 0.002), antimicrobial days of therapy (7 vs. 7, P = 0.001), length of stay (LOS) (6 vs. 5 days, P = 0.001), intensive care unit (ICU) LOS (3 vs. 2 days, P < 0.001), and total hospital cost ($11,017 vs. $9,134, P < 0.001) in the intervention cohort. There were no significant differences observed in 30-day mortality or 30-day readmissions. Secondary analyses showed significant decreases in fluroquinolone and intravenous vancomycin utilization between cohorts. CONCLUSION: Reductions in antimicrobial use, inpatient and ICU length of stay, and total hospital costs were observed in a cohort of patients following incorporation of a novel mortality prediction rule to guide AST surveillance. [Image: see text] DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6811276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68112762019-10-29 1030. Analysis of a Novel Mortality Prediction Rule for Organizing and Guiding Antimicrobial Stewardship Team Activities Collins, Curtis D Scheidel, Caleb Dietzel, Christopher J Leeman, Lauren R Morrin, Cheryl A Malani, Anurag N Open Forum Infect Dis Abstracts BACKGROUND: Antimicrobial stewardship team (AST) surveillance at our hospital is facilitated by an internally-developed database. In 2013, the database was expanded to incorporate a validated internally-developed prediction rule for patient mortality within 30 days of hospital admission. AST prospective audit and feedback expanded to include all antimicrobials prescribed in patients with the highest risk for mortality determined by risk score. This study describes the impact of an expanded AST review in patients at the highest risk for mortality. METHODS: This retrospective, observational study analyzed all adult patients with the highest mortality risk score who received antimicrobials not historically captured via AST review. Patients were identified through administrative and AST databases. Study periods were defined as 2011 – Q3 2013 (historical group) and Q4 2013 – 2018 (intervention group). Primary and secondary outcomes were assessed for confounders including demographic data and infection-related diagnoses. Outcomes were assessed using both unweighted and propensity score weighted versions of the t-test or Wilcoxon rank-sum test for continuous variables and the chi-squared test or Fisher’s Exact test for discrete variables. RESULTS: A total of 2,852 and 5,460 patients were included in the historical and intervention groups, respectively. After adjusting for demographic and clinical characteristics, there were significant reductions in median antimicrobial duration (5 vs. 4, P = 0.002), antimicrobial days of therapy (7 vs. 7, P = 0.001), length of stay (LOS) (6 vs. 5 days, P = 0.001), intensive care unit (ICU) LOS (3 vs. 2 days, P < 0.001), and total hospital cost ($11,017 vs. $9,134, P < 0.001) in the intervention cohort. There were no significant differences observed in 30-day mortality or 30-day readmissions. Secondary analyses showed significant decreases in fluroquinolone and intravenous vancomycin utilization between cohorts. CONCLUSION: Reductions in antimicrobial use, inpatient and ICU length of stay, and total hospital costs were observed in a cohort of patients following incorporation of a novel mortality prediction rule to guide AST surveillance. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6811276/ http://dx.doi.org/10.1093/ofid/ofz360.894 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 Collins, Curtis D Scheidel, Caleb Dietzel, Christopher J Leeman, Lauren R Morrin, Cheryl A Malani, Anurag N 1030. Analysis of a Novel Mortality Prediction Rule for Organizing and Guiding Antimicrobial Stewardship Team Activities |
title | 1030. Analysis of a Novel Mortality Prediction Rule for Organizing and Guiding Antimicrobial Stewardship Team Activities |
title_full | 1030. Analysis of a Novel Mortality Prediction Rule for Organizing and Guiding Antimicrobial Stewardship Team Activities |
title_fullStr | 1030. Analysis of a Novel Mortality Prediction Rule for Organizing and Guiding Antimicrobial Stewardship Team Activities |
title_full_unstemmed | 1030. Analysis of a Novel Mortality Prediction Rule for Organizing and Guiding Antimicrobial Stewardship Team Activities |
title_short | 1030. Analysis of a Novel Mortality Prediction Rule for Organizing and Guiding Antimicrobial Stewardship Team Activities |
title_sort | 1030. analysis of a novel mortality prediction rule for organizing and guiding antimicrobial stewardship team activities |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811276/ http://dx.doi.org/10.1093/ofid/ofz360.894 |
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