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1822. Veterans Are Special: Clinical Decision Tree Misses ESBL Status in Bacteremic Veterans

BACKGROUND: Severe bacterial infections require appropriate empiric antibiotic choices. The Johns Hopkins Hospital clinical decision tree (JHH-CDT) to detect bacteremia with ESBL+ Enterobacteriaceae performed well at the developer’s institution, but its external validity is not known. We sought to d...

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Autores principales: Chou, Andrew, Sucgang, Richard, Zechiedrich, Lynn, Trautner, Barbara W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252509/
http://dx.doi.org/10.1093/ofid/ofy210.1478
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author Chou, Andrew
Sucgang, Richard
Zechiedrich, Lynn
Trautner, Barbara W
author_facet Chou, Andrew
Sucgang, Richard
Zechiedrich, Lynn
Trautner, Barbara W
author_sort Chou, Andrew
collection PubMed
description BACKGROUND: Severe bacterial infections require appropriate empiric antibiotic choices. The Johns Hopkins Hospital clinical decision tree (JHH-CDT) to detect bacteremia with ESBL+ Enterobacteriaceae performed well at the developer’s institution, but its external validity is not known. We sought to determine the performance of the JHH-CDT to predict bacteremia with ESBL+ Enterobacteriaceae in a VA population and compare the JHH-CDT with standard of care (empiric antibiotics prescribed to the patient, without using the CDT). METHODS: Electronic medical records were examined for clinical and microbiological data. The first episodes of mono-microbial bacteremia in patients at the Houston VA with positive blood cultures that grew either E. coli or Klebsiella species during 2016 were included. The JHH-CDT was used to predict whether or not the isolate would be ESBL+. Empiric initial antibiotic selection was also collected. RESULTS: Eighty-seven cases occurred during the study period; 95% were in men. In veterans at the VA in Houston compared with patients at JHH, respectively, the JHH-CDT demonstrated lower sensitivity (35.7% vs. 51%), positive predictive value (83.3% vs. 90.8%), negative predictive value (88.8% vs. 91.9%) but similar specificity (98.6% vs. 99.1%). Of note, of the five questions in the JHH-CDT, only one was applicable to the Veteran population: history of ESBL colonization or infection in the prior 6 months. Two other CDT questions did not apply to the VA population (no Veterans had these conditions): hospitalization for ≥1 day in an ESBL high-burden in the prior 6 months and age <43 years old. Standard of care led to carbapenems being empirically prescribed for 4/14 (28.6%) ESBL+ bloodstream infections and for 3/73 (4.1%) of non-ESBL bloodstream infections. CONCLUSION: In this VA population, the JHH-CDT had low sensitivity because two decision nodes did not apply to our older population with little international travel. Standard of care empiric choice of antibiotics also had low sensitivity, covering only 28.6% of ESLB infections appropriately. These findings highlight the importance of developing and validating population-specific predictive stewardship tools. DISCLOSURES: B. W. Trautner, Paratek: Consultant, Consulting fee. Zambon: Consultant, Consulting fee and Research grant.
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spelling pubmed-62525092018-11-28 1822. Veterans Are Special: Clinical Decision Tree Misses ESBL Status in Bacteremic Veterans Chou, Andrew Sucgang, Richard Zechiedrich, Lynn Trautner, Barbara W Open Forum Infect Dis Abstracts BACKGROUND: Severe bacterial infections require appropriate empiric antibiotic choices. The Johns Hopkins Hospital clinical decision tree (JHH-CDT) to detect bacteremia with ESBL+ Enterobacteriaceae performed well at the developer’s institution, but its external validity is not known. We sought to determine the performance of the JHH-CDT to predict bacteremia with ESBL+ Enterobacteriaceae in a VA population and compare the JHH-CDT with standard of care (empiric antibiotics prescribed to the patient, without using the CDT). METHODS: Electronic medical records were examined for clinical and microbiological data. The first episodes of mono-microbial bacteremia in patients at the Houston VA with positive blood cultures that grew either E. coli or Klebsiella species during 2016 were included. The JHH-CDT was used to predict whether or not the isolate would be ESBL+. Empiric initial antibiotic selection was also collected. RESULTS: Eighty-seven cases occurred during the study period; 95% were in men. In veterans at the VA in Houston compared with patients at JHH, respectively, the JHH-CDT demonstrated lower sensitivity (35.7% vs. 51%), positive predictive value (83.3% vs. 90.8%), negative predictive value (88.8% vs. 91.9%) but similar specificity (98.6% vs. 99.1%). Of note, of the five questions in the JHH-CDT, only one was applicable to the Veteran population: history of ESBL colonization or infection in the prior 6 months. Two other CDT questions did not apply to the VA population (no Veterans had these conditions): hospitalization for ≥1 day in an ESBL high-burden in the prior 6 months and age <43 years old. Standard of care led to carbapenems being empirically prescribed for 4/14 (28.6%) ESBL+ bloodstream infections and for 3/73 (4.1%) of non-ESBL bloodstream infections. CONCLUSION: In this VA population, the JHH-CDT had low sensitivity because two decision nodes did not apply to our older population with little international travel. Standard of care empiric choice of antibiotics also had low sensitivity, covering only 28.6% of ESLB infections appropriately. These findings highlight the importance of developing and validating population-specific predictive stewardship tools. DISCLOSURES: B. W. Trautner, Paratek: Consultant, Consulting fee. Zambon: Consultant, Consulting fee and Research grant. Oxford University Press 2018-11-26 /pmc/articles/PMC6252509/ http://dx.doi.org/10.1093/ofid/ofy210.1478 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
Chou, Andrew
Sucgang, Richard
Zechiedrich, Lynn
Trautner, Barbara W
1822. Veterans Are Special: Clinical Decision Tree Misses ESBL Status in Bacteremic Veterans
title 1822. Veterans Are Special: Clinical Decision Tree Misses ESBL Status in Bacteremic Veterans
title_full 1822. Veterans Are Special: Clinical Decision Tree Misses ESBL Status in Bacteremic Veterans
title_fullStr 1822. Veterans Are Special: Clinical Decision Tree Misses ESBL Status in Bacteremic Veterans
title_full_unstemmed 1822. Veterans Are Special: Clinical Decision Tree Misses ESBL Status in Bacteremic Veterans
title_short 1822. Veterans Are Special: Clinical Decision Tree Misses ESBL Status in Bacteremic Veterans
title_sort 1822. veterans are special: clinical decision tree misses esbl status in bacteremic veterans
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252509/
http://dx.doi.org/10.1093/ofid/ofy210.1478
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