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2183. Survival Impact and Clinical Predictors of Anaerobic Bloodstream Infection
BACKGROUND: Few controlled studies are available for the outcome and risk factor analysis of anaerobic bloodstream infection (BSI). We conducted a cohort study to identify the clinical predictors and survival impact of anaerobic BSI as compared with aerobic BSI. METHODS: Consecutive emergency depart...
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/PMC6809824/ http://dx.doi.org/10.1093/ofid/ofz360.1863 |
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author | Hsieh, Ronan Yo, Chia-Hung Liu, Cheng-Heng Galvis, Alvaro Hsieh, Yueh-Cheng Huang, Huai-Hsuan Hsu, Tzu-Chun Lee, Chien-Chang |
author_facet | Hsieh, Ronan Yo, Chia-Hung Liu, Cheng-Heng Galvis, Alvaro Hsieh, Yueh-Cheng Huang, Huai-Hsuan Hsu, Tzu-Chun Lee, Chien-Chang |
author_sort | Hsieh, Ronan |
collection | PubMed |
description | BACKGROUND: Few controlled studies are available for the outcome and risk factor analysis of anaerobic bloodstream infection (BSI). We conducted a cohort study to identify the clinical predictors and survival impact of anaerobic BSI as compared with aerobic BSI. METHODS: Consecutive emergency department patients in a tertiary medical center with laboratory confirmed BSI between 2015 and 2016 were prospectively enrolled. We compared demographics, comorbidity, and sources of infection between anaerobic and aerobic BSI. We then constructed a multivariable logistic regression model to identify independent risk factors for anaerobic BSI. The survival impact of anaerobic BSI was evaluated by propensity score-matched analysis. RESULTS: We identified 1,166 episodes of BSIs during the 2-year study period, of which 61 (5.2%) were anaerobic BSI. Clinical variables predicted anaerobic BSI with moderate discrimination (optimism corrected C statistic = 0.75). Significant predictors included metastatic cancer (OR 6.03, 95% CI 2.78–13.09), intra-abdomen infection (OR 3.92, 95% CI 1.47–10.45), liver abscess (OR 2.65, 95% CI 1.26–5.62), skin and soft-tissue infection (OR 2.40, 95% CI 1.13–5.08) as the positive predictors. Urinary tract infection (OR 0.15, 95% CI 0.04–0.62), diabetes mellitus (OR 0.38, 95% CI 0.18–0.78), or thrombocytopenia (OR 0.33, 95% CI 0.18–0.60) were identified as the negative predictors of anaerobic BSI. Anaerobic BSI were not associated with worse prognosis in either adjusted (HR 1.08, 95% CI 0.68–1.72) or PS-matched analysis (HR 1.50, 95% CI 0.61–3.67). CONCLUSION: Anaerobic BSI accounted for a significant proportion (approximately 1 in 20) of community-onset BSI. Clinical predictors identified in this study may help guide the prescription of empiric anti-anaerobe antibiotics. The apparent adverse outcome associated with anaerobic BSI may be explained by the underline comorbidity, high-risk infection site, and inadequate initial antibiotics. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6809824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68098242019-10-28 2183. Survival Impact and Clinical Predictors of Anaerobic Bloodstream Infection Hsieh, Ronan Yo, Chia-Hung Liu, Cheng-Heng Galvis, Alvaro Hsieh, Yueh-Cheng Huang, Huai-Hsuan Hsu, Tzu-Chun Lee, Chien-Chang Open Forum Infect Dis Abstracts BACKGROUND: Few controlled studies are available for the outcome and risk factor analysis of anaerobic bloodstream infection (BSI). We conducted a cohort study to identify the clinical predictors and survival impact of anaerobic BSI as compared with aerobic BSI. METHODS: Consecutive emergency department patients in a tertiary medical center with laboratory confirmed BSI between 2015 and 2016 were prospectively enrolled. We compared demographics, comorbidity, and sources of infection between anaerobic and aerobic BSI. We then constructed a multivariable logistic regression model to identify independent risk factors for anaerobic BSI. The survival impact of anaerobic BSI was evaluated by propensity score-matched analysis. RESULTS: We identified 1,166 episodes of BSIs during the 2-year study period, of which 61 (5.2%) were anaerobic BSI. Clinical variables predicted anaerobic BSI with moderate discrimination (optimism corrected C statistic = 0.75). Significant predictors included metastatic cancer (OR 6.03, 95% CI 2.78–13.09), intra-abdomen infection (OR 3.92, 95% CI 1.47–10.45), liver abscess (OR 2.65, 95% CI 1.26–5.62), skin and soft-tissue infection (OR 2.40, 95% CI 1.13–5.08) as the positive predictors. Urinary tract infection (OR 0.15, 95% CI 0.04–0.62), diabetes mellitus (OR 0.38, 95% CI 0.18–0.78), or thrombocytopenia (OR 0.33, 95% CI 0.18–0.60) were identified as the negative predictors of anaerobic BSI. Anaerobic BSI were not associated with worse prognosis in either adjusted (HR 1.08, 95% CI 0.68–1.72) or PS-matched analysis (HR 1.50, 95% CI 0.61–3.67). CONCLUSION: Anaerobic BSI accounted for a significant proportion (approximately 1 in 20) of community-onset BSI. Clinical predictors identified in this study may help guide the prescription of empiric anti-anaerobe antibiotics. The apparent adverse outcome associated with anaerobic BSI may be explained by the underline comorbidity, high-risk infection site, and inadequate initial antibiotics. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6809824/ http://dx.doi.org/10.1093/ofid/ofz360.1863 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 Hsieh, Ronan Yo, Chia-Hung Liu, Cheng-Heng Galvis, Alvaro Hsieh, Yueh-Cheng Huang, Huai-Hsuan Hsu, Tzu-Chun Lee, Chien-Chang 2183. Survival Impact and Clinical Predictors of Anaerobic Bloodstream Infection |
title | 2183. Survival Impact and Clinical Predictors of Anaerobic Bloodstream Infection |
title_full | 2183. Survival Impact and Clinical Predictors of Anaerobic Bloodstream Infection |
title_fullStr | 2183. Survival Impact and Clinical Predictors of Anaerobic Bloodstream Infection |
title_full_unstemmed | 2183. Survival Impact and Clinical Predictors of Anaerobic Bloodstream Infection |
title_short | 2183. Survival Impact and Clinical Predictors of Anaerobic Bloodstream Infection |
title_sort | 2183. survival impact and clinical predictors of anaerobic bloodstream infection |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809824/ http://dx.doi.org/10.1093/ofid/ofz360.1863 |
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