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179. From Epidemiology of Community-onset Bloodstream Infections to the Development of Empirical Antimicrobial Treatment-decision Algorithm in a Region with High Burden of Antimicrobial Resistance
BACKGROUND: More antimicrobial-resistant (AMR) infections have emerged in community settings. Our objectives were to study the epidemiology of community-onset bloodstream infections (BSIs), identify risk factors for AMR-BSI and factors associated with mortality, and develop the empirical antimicrobi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679220/ http://dx.doi.org/10.1093/ofid/ofad500.252 |
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author | Chotiprasitsakul, Darunee Trirattanapikul, Akeatit Namsiripongpun, Warunyu Chaihongsa, Narong Santanirand, Pitak |
author_facet | Chotiprasitsakul, Darunee Trirattanapikul, Akeatit Namsiripongpun, Warunyu Chaihongsa, Narong Santanirand, Pitak |
author_sort | Chotiprasitsakul, Darunee |
collection | PubMed |
description | BACKGROUND: More antimicrobial-resistant (AMR) infections have emerged in community settings. Our objectives were to study the epidemiology of community-onset bloodstream infections (BSIs), identify risk factors for AMR-BSI and factors associated with mortality, and develop the empirical antimicrobial treatment-decision algorithm. METHODS: A retrospective cohort study was conducted at a tertiary-care hospital. All positive blood cultures from adult patients at the emergency room and outpatient clinics were identified from 1 Aug 2021-15 Apr 2022. AMR was defined as the resistance of organisms to an antimicrobial to which they were at first sensitive. Risk factors associated with AMR-BSI and factors associated with 30-day mortality were determined. The independent risk factors for AMR-BSI were placed into steps to create an empirical treatment-decision algorithm. C-statistics were calculated. The internal validation cohort was evaluated. RESULTS: A total of 1,151 positive blood cultures were identified. There were 450 initial episodes of bacterial BSI, and 114 BSIs (25%) were AMR-BSI. Nonsusceptibility to ceftriaxone was detected in 40.9% of 195 E. coli isolates and 16.4% among 67 K. pneumoniae isolates. A treatment-decision algorithm was developed based on the independent risk factors for AMR-BSI: the presence of multidrug-resistant organisms (MDROs) within 90 days (aOR 3.63; 95% CI 1.95-6.75; P< 0.001), prior antimicrobial exposure within 90 days (aOR 1.94; 95% CI 1.08-3.50; P=0.03), and urinary source (aOR 1.79; 95% CI 1.06-3.01; P=0.03). The positive and negative predictive values were 53.3% (95% CI 45.4-61.1%) and 83.2% (95% CI 80.4-85.6%), respectively. The C-statistic was 0.73. Factors significantly associated with 30-day all-cause mortality were Pitt bacteremia score (aHR 1.39; 95% CI 1.20–1.62; P< 0.001), solid malignancy (aHR 2.61; 95% CI 1.30–5.24; P=0.01), and urinary source (aHR 0.30; 95% CI 0.11–0.79; P=0.02). Univariable analysis and multivariable analysis of risk factors for antimicrobial resistance [Figure: see text] Proposed empirical antimicrobial treatment algorithm for patients with suspected community-onset bloodstream infections [Figure: see text] Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and C-statistics of the algorithm in predicting antimicrobial resistant infection [Figure: see text] CONCLUSION: One-fourth of community-onset BSI were antimicrobial-resistant, and almost one-third of Enterobacteriaceae were nonsusceptible to ceftriaxone. Treatment-decision algorithm based on the presence of MDROs within 90 days, prior antimicrobial use within 90 days, and the urinary source may reduce overly broad antimicrobial treatment. DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-10679220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106792202023-11-27 179. From Epidemiology of Community-onset Bloodstream Infections to the Development of Empirical Antimicrobial Treatment-decision Algorithm in a Region with High Burden of Antimicrobial Resistance Chotiprasitsakul, Darunee Trirattanapikul, Akeatit Namsiripongpun, Warunyu Chaihongsa, Narong Santanirand, Pitak Open Forum Infect Dis Abstract BACKGROUND: More antimicrobial-resistant (AMR) infections have emerged in community settings. Our objectives were to study the epidemiology of community-onset bloodstream infections (BSIs), identify risk factors for AMR-BSI and factors associated with mortality, and develop the empirical antimicrobial treatment-decision algorithm. METHODS: A retrospective cohort study was conducted at a tertiary-care hospital. All positive blood cultures from adult patients at the emergency room and outpatient clinics were identified from 1 Aug 2021-15 Apr 2022. AMR was defined as the resistance of organisms to an antimicrobial to which they were at first sensitive. Risk factors associated with AMR-BSI and factors associated with 30-day mortality were determined. The independent risk factors for AMR-BSI were placed into steps to create an empirical treatment-decision algorithm. C-statistics were calculated. The internal validation cohort was evaluated. RESULTS: A total of 1,151 positive blood cultures were identified. There were 450 initial episodes of bacterial BSI, and 114 BSIs (25%) were AMR-BSI. Nonsusceptibility to ceftriaxone was detected in 40.9% of 195 E. coli isolates and 16.4% among 67 K. pneumoniae isolates. A treatment-decision algorithm was developed based on the independent risk factors for AMR-BSI: the presence of multidrug-resistant organisms (MDROs) within 90 days (aOR 3.63; 95% CI 1.95-6.75; P< 0.001), prior antimicrobial exposure within 90 days (aOR 1.94; 95% CI 1.08-3.50; P=0.03), and urinary source (aOR 1.79; 95% CI 1.06-3.01; P=0.03). The positive and negative predictive values were 53.3% (95% CI 45.4-61.1%) and 83.2% (95% CI 80.4-85.6%), respectively. The C-statistic was 0.73. Factors significantly associated with 30-day all-cause mortality were Pitt bacteremia score (aHR 1.39; 95% CI 1.20–1.62; P< 0.001), solid malignancy (aHR 2.61; 95% CI 1.30–5.24; P=0.01), and urinary source (aHR 0.30; 95% CI 0.11–0.79; P=0.02). Univariable analysis and multivariable analysis of risk factors for antimicrobial resistance [Figure: see text] Proposed empirical antimicrobial treatment algorithm for patients with suspected community-onset bloodstream infections [Figure: see text] Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and C-statistics of the algorithm in predicting antimicrobial resistant infection [Figure: see text] CONCLUSION: One-fourth of community-onset BSI were antimicrobial-resistant, and almost one-third of Enterobacteriaceae were nonsusceptible to ceftriaxone. Treatment-decision algorithm based on the presence of MDROs within 90 days, prior antimicrobial use within 90 days, and the urinary source may reduce overly broad antimicrobial treatment. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2023-11-27 /pmc/articles/PMC10679220/ http://dx.doi.org/10.1093/ofid/ofad500.252 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Chotiprasitsakul, Darunee Trirattanapikul, Akeatit Namsiripongpun, Warunyu Chaihongsa, Narong Santanirand, Pitak 179. From Epidemiology of Community-onset Bloodstream Infections to the Development of Empirical Antimicrobial Treatment-decision Algorithm in a Region with High Burden of Antimicrobial Resistance |
title | 179. From Epidemiology of Community-onset Bloodstream Infections to the Development of Empirical Antimicrobial Treatment-decision Algorithm in a Region with High Burden of Antimicrobial Resistance |
title_full | 179. From Epidemiology of Community-onset Bloodstream Infections to the Development of Empirical Antimicrobial Treatment-decision Algorithm in a Region with High Burden of Antimicrobial Resistance |
title_fullStr | 179. From Epidemiology of Community-onset Bloodstream Infections to the Development of Empirical Antimicrobial Treatment-decision Algorithm in a Region with High Burden of Antimicrobial Resistance |
title_full_unstemmed | 179. From Epidemiology of Community-onset Bloodstream Infections to the Development of Empirical Antimicrobial Treatment-decision Algorithm in a Region with High Burden of Antimicrobial Resistance |
title_short | 179. From Epidemiology of Community-onset Bloodstream Infections to the Development of Empirical Antimicrobial Treatment-decision Algorithm in a Region with High Burden of Antimicrobial Resistance |
title_sort | 179. from epidemiology of community-onset bloodstream infections to the development of empirical antimicrobial treatment-decision algorithm in a region with high burden of antimicrobial resistance |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679220/ http://dx.doi.org/10.1093/ofid/ofad500.252 |
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