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879. Host Response Classifiers Identify Infection and Illness Severity and Improve Antibiotic Decision-Making in Patients with Suspected Infections Presenting to the Emergency Department

BACKGROUND: Nonspecific presentation and limited diagnostic solutions of acute infections and sepsis in emergency departments (EDs) result in early antimicrobial administration at a cost to antimicrobial stewardship. We validated the host response classifiers, IMX-BVN-3b and SEV-3b, to determine bac...

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Autores principales: Beltran, Arianna, Chen, Uan-I, Michelson, Edward A, Steingrub, Jay S, Humphries, Roger L, Gill, Jasreen K, Weissman, Alexandra, Giamarellos-Bourboulis, Evangelos J, Wright, David W, Liesenfeld, Oliver, Whitfield, Natalie N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677469/
http://dx.doi.org/10.1093/ofid/ofad500.924
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author Beltran, Arianna
Chen, Uan-I
Michelson, Edward A
Steingrub, Jay S
Humphries, Roger L
Gill, Jasreen K
Weissman, Alexandra
Giamarellos-Bourboulis, Evangelos J
Wright, David W
Liesenfeld, Oliver
Whitfield, Natalie N
author_facet Beltran, Arianna
Chen, Uan-I
Michelson, Edward A
Steingrub, Jay S
Humphries, Roger L
Gill, Jasreen K
Weissman, Alexandra
Giamarellos-Bourboulis, Evangelos J
Wright, David W
Liesenfeld, Oliver
Whitfield, Natalie N
author_sort Beltran, Arianna
collection PubMed
description BACKGROUND: Nonspecific presentation and limited diagnostic solutions of acute infections and sepsis in emergency departments (EDs) result in early antimicrobial administration at a cost to antimicrobial stewardship. We validated the host response classifiers, IMX-BVN-3b and SEV-3b, to determine bacterial and viral infection status and illness severity. We also assessed antibiotic over- and underuse. METHODS: We prospectively enrolled adult ED patients with suspected acute infections or sepsis with ≥1 vital sign abnormal across 7 sites. At enrollment, we surveyed treating physicians on infection probability and antibiotic prescribing. BVN/SEV-3b were calculated using NanoString nCounter® on PAXgene® blood samples. We compared BVN-3b likelihood of bacterial and viral infection to post-hoc clinical adjudication infection status and SEV-3b likelihood of severe outcomes to 7-day need for ICU care and 30-day mortality. RESULTS: Of 568 enrolled patients, 346 had consensus adjudications (131 bacterial, 52 viral, 1 coinfection, 162 noninfected). The BVN-3b area under the receiver operating curve (AUROC) for bacterial infections was 0.82 (95%CI 0.77-0.87), compared to 0.76 (95%CI 0.71-0.81) for procalcitonin (p = 0.011). BVN-3b AUROC for viral infections was 0.89 (95%CI 0.84-0.95). SEV-3b AUROC was 0.78 (95%CI 0.69-0.86) and 0.88 (95%CI 0.73-1) for 7-day ICU care and 30-day mortality, respectively. Of the 346, 226 patients had a pre-lab result physician questionnaire; of these, 110 patients received antibiotics. Of these, BVN-3b would have corrected 71% of antibiotic prescribing errors (34/48 overprescriptions and 13/18 underprescriptions). CONCLUSION: BVN-3b and SEV-3b accurately identified bacterial and viral infections and risk status. If implemented in a rapid workflow, these tests may improve patient management and antibiotic prescribing, reducing healthcare costs in the ED. DISCLOSURES: Arianna Beltran, BS, Inflammatix: Internship Uan-I Chen, MS, Inflammatix: Stocks/Bonds Edward A. Michelson, MD, Inflamatix: Research expense reimbursement for sponsored clinical trial Alexandra Weissman, MD, Inflammatix Inc: Advisor/Consultant Evangelos J. Giamarellos-Bourboulis, PhD, D(ABMM), Abbot Product Operations AG: Grant/Research Support|Abbot Product Operations AG: Honoraria|bioMerieux: Grant/Research Support|bioMerieux: Honoraria|Horizon 2020 European Program: Grant/Research Support|Horizon Health European Program: Grant/Research Support|Sobi AB: Advisor/Consultant|Sobi AB: Grant/Research Support|Sobi AB: Honoraria Oliver Liesenfeld, MD, Inflammatix Inc.: Ownership Interest Natalie N. Whitfield, PhD, D(ABMM), GenMark Dx/Roche: Employee|GenMark Dx/Roche: Stocks/Bonds|Inflammatix: Employee|Inflammatix: Stocks/Bonds
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spelling pubmed-106774692023-11-27 879. Host Response Classifiers Identify Infection and Illness Severity and Improve Antibiotic Decision-Making in Patients with Suspected Infections Presenting to the Emergency Department Beltran, Arianna Chen, Uan-I Michelson, Edward A Steingrub, Jay S Humphries, Roger L Gill, Jasreen K Weissman, Alexandra Giamarellos-Bourboulis, Evangelos J Wright, David W Liesenfeld, Oliver Whitfield, Natalie N Open Forum Infect Dis Abstract BACKGROUND: Nonspecific presentation and limited diagnostic solutions of acute infections and sepsis in emergency departments (EDs) result in early antimicrobial administration at a cost to antimicrobial stewardship. We validated the host response classifiers, IMX-BVN-3b and SEV-3b, to determine bacterial and viral infection status and illness severity. We also assessed antibiotic over- and underuse. METHODS: We prospectively enrolled adult ED patients with suspected acute infections or sepsis with ≥1 vital sign abnormal across 7 sites. At enrollment, we surveyed treating physicians on infection probability and antibiotic prescribing. BVN/SEV-3b were calculated using NanoString nCounter® on PAXgene® blood samples. We compared BVN-3b likelihood of bacterial and viral infection to post-hoc clinical adjudication infection status and SEV-3b likelihood of severe outcomes to 7-day need for ICU care and 30-day mortality. RESULTS: Of 568 enrolled patients, 346 had consensus adjudications (131 bacterial, 52 viral, 1 coinfection, 162 noninfected). The BVN-3b area under the receiver operating curve (AUROC) for bacterial infections was 0.82 (95%CI 0.77-0.87), compared to 0.76 (95%CI 0.71-0.81) for procalcitonin (p = 0.011). BVN-3b AUROC for viral infections was 0.89 (95%CI 0.84-0.95). SEV-3b AUROC was 0.78 (95%CI 0.69-0.86) and 0.88 (95%CI 0.73-1) for 7-day ICU care and 30-day mortality, respectively. Of the 346, 226 patients had a pre-lab result physician questionnaire; of these, 110 patients received antibiotics. Of these, BVN-3b would have corrected 71% of antibiotic prescribing errors (34/48 overprescriptions and 13/18 underprescriptions). CONCLUSION: BVN-3b and SEV-3b accurately identified bacterial and viral infections and risk status. If implemented in a rapid workflow, these tests may improve patient management and antibiotic prescribing, reducing healthcare costs in the ED. DISCLOSURES: Arianna Beltran, BS, Inflammatix: Internship Uan-I Chen, MS, Inflammatix: Stocks/Bonds Edward A. Michelson, MD, Inflamatix: Research expense reimbursement for sponsored clinical trial Alexandra Weissman, MD, Inflammatix Inc: Advisor/Consultant Evangelos J. Giamarellos-Bourboulis, PhD, D(ABMM), Abbot Product Operations AG: Grant/Research Support|Abbot Product Operations AG: Honoraria|bioMerieux: Grant/Research Support|bioMerieux: Honoraria|Horizon 2020 European Program: Grant/Research Support|Horizon Health European Program: Grant/Research Support|Sobi AB: Advisor/Consultant|Sobi AB: Grant/Research Support|Sobi AB: Honoraria Oliver Liesenfeld, MD, Inflammatix Inc.: Ownership Interest Natalie N. Whitfield, PhD, D(ABMM), GenMark Dx/Roche: Employee|GenMark Dx/Roche: Stocks/Bonds|Inflammatix: Employee|Inflammatix: Stocks/Bonds Oxford University Press 2023-11-27 /pmc/articles/PMC10677469/ http://dx.doi.org/10.1093/ofid/ofad500.924 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
Beltran, Arianna
Chen, Uan-I
Michelson, Edward A
Steingrub, Jay S
Humphries, Roger L
Gill, Jasreen K
Weissman, Alexandra
Giamarellos-Bourboulis, Evangelos J
Wright, David W
Liesenfeld, Oliver
Whitfield, Natalie N
879. Host Response Classifiers Identify Infection and Illness Severity and Improve Antibiotic Decision-Making in Patients with Suspected Infections Presenting to the Emergency Department
title 879. Host Response Classifiers Identify Infection and Illness Severity and Improve Antibiotic Decision-Making in Patients with Suspected Infections Presenting to the Emergency Department
title_full 879. Host Response Classifiers Identify Infection and Illness Severity and Improve Antibiotic Decision-Making in Patients with Suspected Infections Presenting to the Emergency Department
title_fullStr 879. Host Response Classifiers Identify Infection and Illness Severity and Improve Antibiotic Decision-Making in Patients with Suspected Infections Presenting to the Emergency Department
title_full_unstemmed 879. Host Response Classifiers Identify Infection and Illness Severity and Improve Antibiotic Decision-Making in Patients with Suspected Infections Presenting to the Emergency Department
title_short 879. Host Response Classifiers Identify Infection and Illness Severity and Improve Antibiotic Decision-Making in Patients with Suspected Infections Presenting to the Emergency Department
title_sort 879. host response classifiers identify infection and illness severity and improve antibiotic decision-making in patients with suspected infections presenting to the emergency department
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677469/
http://dx.doi.org/10.1093/ofid/ofad500.924
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