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279. A Decision Tree Using Clinical Characteristics to Predict a Hospitalized Child’s Risk of a Multidrug-Resistant Gram-Negative Bloodstream Infection
BACKGROUND: As the threat of multidrug-resistant Gram-negative (MDRGN) bacteria rises, recognizing children at high risk of bloodstream infections with bacteria resistant to commonly prescribed empiric antibiotics is critical. We developed a decision tree to predict which pediatric bloodstream infec...
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/PMC6253696/ http://dx.doi.org/10.1093/ofid/ofy210.290 |
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author | Sick-Samuels, Anna Goodman, Katherine Rapsinski, Glenn Colantuoni, Elizabeth Nowalk, Andrew Tamma, Pranita |
author_facet | Sick-Samuels, Anna Goodman, Katherine Rapsinski, Glenn Colantuoni, Elizabeth Nowalk, Andrew Tamma, Pranita |
author_sort | Sick-Samuels, Anna |
collection | PubMed |
description | BACKGROUND: As the threat of multidrug-resistant Gram-negative (MDRGN) bacteria rises, recognizing children at high risk of bloodstream infections with bacteria resistant to commonly prescribed empiric antibiotics is critical. We developed a decision tree to predict which pediatric bloodstream infections were due to MDRGN bacteria resistant to cefepime or piperacillin–tazobactam, commonly prescribed empiric antibiotics. METHODS: We conducted a longitudinal retrospective cohort study at the Children’s Hospital of Pittsburgh including all admitted patients with a Gram-negative bloodstream infection from June 2009 to June 2015. Episodes of bloodstream infection were considered unique if at least 30 days had elapsed since the previous bloodstream infection. Logistic regression was performed to identify notable risk factors. A decision tree describing the risk of an MDRGN infection was developed using recursive partitioning based on clinical characteristics available at the time of presentation. RESULTS: Six hundred eighty-nine episodes of Gram-negative bloodstream infections occurred during the study period among 387 patients. Twenty-eight percent of infections were multidrug-resistant (MDR). The decision tree separated patients into higher or lower risk groups based on history of prior carbapenem treatment for seven or more days, having a prior MDR infection within 6 months, intestinal transplant status, age 3 years or older, and seven or more prior episodes of bacteremia. The sensitivity to classify high risk of MDR was 46% and the specificity was 92% based on leave one out cross validation. For patients who had more than one episode, 30% of initially non-MDR infections were subsequently MDR. CONCLUSION: A decision tree using readily available clinical characteristics may be helpful to identify pediatric patients at higher risk of bloodstream infection due to an MDRGN organism resistant to common empirical antibiotic therapy. DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6253696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62536962018-11-28 279. A Decision Tree Using Clinical Characteristics to Predict a Hospitalized Child’s Risk of a Multidrug-Resistant Gram-Negative Bloodstream Infection Sick-Samuels, Anna Goodman, Katherine Rapsinski, Glenn Colantuoni, Elizabeth Nowalk, Andrew Tamma, Pranita Open Forum Infect Dis Abstracts BACKGROUND: As the threat of multidrug-resistant Gram-negative (MDRGN) bacteria rises, recognizing children at high risk of bloodstream infections with bacteria resistant to commonly prescribed empiric antibiotics is critical. We developed a decision tree to predict which pediatric bloodstream infections were due to MDRGN bacteria resistant to cefepime or piperacillin–tazobactam, commonly prescribed empiric antibiotics. METHODS: We conducted a longitudinal retrospective cohort study at the Children’s Hospital of Pittsburgh including all admitted patients with a Gram-negative bloodstream infection from June 2009 to June 2015. Episodes of bloodstream infection were considered unique if at least 30 days had elapsed since the previous bloodstream infection. Logistic regression was performed to identify notable risk factors. A decision tree describing the risk of an MDRGN infection was developed using recursive partitioning based on clinical characteristics available at the time of presentation. RESULTS: Six hundred eighty-nine episodes of Gram-negative bloodstream infections occurred during the study period among 387 patients. Twenty-eight percent of infections were multidrug-resistant (MDR). The decision tree separated patients into higher or lower risk groups based on history of prior carbapenem treatment for seven or more days, having a prior MDR infection within 6 months, intestinal transplant status, age 3 years or older, and seven or more prior episodes of bacteremia. The sensitivity to classify high risk of MDR was 46% and the specificity was 92% based on leave one out cross validation. For patients who had more than one episode, 30% of initially non-MDR infections were subsequently MDR. CONCLUSION: A decision tree using readily available clinical characteristics may be helpful to identify pediatric patients at higher risk of bloodstream infection due to an MDRGN organism resistant to common empirical antibiotic therapy. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6253696/ http://dx.doi.org/10.1093/ofid/ofy210.290 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 Sick-Samuels, Anna Goodman, Katherine Rapsinski, Glenn Colantuoni, Elizabeth Nowalk, Andrew Tamma, Pranita 279. A Decision Tree Using Clinical Characteristics to Predict a Hospitalized Child’s Risk of a Multidrug-Resistant Gram-Negative Bloodstream Infection |
title | 279. A Decision Tree Using Clinical Characteristics to Predict a Hospitalized Child’s Risk of a Multidrug-Resistant Gram-Negative Bloodstream Infection |
title_full | 279. A Decision Tree Using Clinical Characteristics to Predict a Hospitalized Child’s Risk of a Multidrug-Resistant Gram-Negative Bloodstream Infection |
title_fullStr | 279. A Decision Tree Using Clinical Characteristics to Predict a Hospitalized Child’s Risk of a Multidrug-Resistant Gram-Negative Bloodstream Infection |
title_full_unstemmed | 279. A Decision Tree Using Clinical Characteristics to Predict a Hospitalized Child’s Risk of a Multidrug-Resistant Gram-Negative Bloodstream Infection |
title_short | 279. A Decision Tree Using Clinical Characteristics to Predict a Hospitalized Child’s Risk of a Multidrug-Resistant Gram-Negative Bloodstream Infection |
title_sort | 279. a decision tree using clinical characteristics to predict a hospitalized child’s risk of a multidrug-resistant gram-negative bloodstream infection |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253696/ http://dx.doi.org/10.1093/ofid/ofy210.290 |
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