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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...

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Autores principales: Chotiprasitsakul, Darunee, Trirattanapikul, Akeatit, Namsiripongpun, Warunyu, Chaihongsa, Narong, Santanirand, Pitak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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
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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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