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321. Clinical Utility of Metagenomic Next-Generation Sequencing in Fever of Unclear Etiology: a Single Center Retrospective Cohort Study

BACKGROUND: Metagenomic next-generation sequencing (mNGS) has emerged as a novel diagnostic tool in infectious diseases. It analyzes genetic material from a given sample without the need for pre-determined sequences, matching it to reference genomes, thus identifying a wide range of pathogens. There...

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Autores principales: Daher, Marilyne, Iordanov, Roumen, Hamdi, Ahmed M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752369/
http://dx.doi.org/10.1093/ofid/ofac492.399
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author Daher, Marilyne
Iordanov, Roumen
Hamdi, Ahmed M
author_facet Daher, Marilyne
Iordanov, Roumen
Hamdi, Ahmed M
author_sort Daher, Marilyne
collection PubMed
description BACKGROUND: Metagenomic next-generation sequencing (mNGS) has emerged as a novel diagnostic tool in infectious diseases. It analyzes genetic material from a given sample without the need for pre-determined sequences, matching it to reference genomes, thus identifying a wide range of pathogens. There is little guidance on the efficient and appropriate use of this tool. The goal of this study was to evaluate clinical utility of mNGS in patients with fever of unclear etiology. METHODS: We retrospectively analyzed 72 patients at our center from June 2017 to July 2021 with “fever of unclear etiology” and a mNGS test. The assay we used was the Karius Test™, a College of American Pathologists-accredited NGS laboratory. Two independent reviews of each case were performed to determine clinical impact of mNGS using previously published criteria by Hogan et al. Logistic regression was used to identify factors associated with positive clinical impact. RESULTS: We included 72 patients, 62.5% males, median age 56. Most common comorbidities were hypertension (43.1%) and diabetes (23.6%). All patients had fever at time of evaluation. 26.4% had cough, 16.7% abdominal pain, and 15.3% shortness of breath. Median turnaround time of the test was 26 hours. At least one organism was reported in 65.3% of cases. Most common identified organisms were EBV (13.9%), CMV (12.5%), and Rickettsia typhi (11.1%). Of those with an infectious etiology of their fever, 86.8% had positive mNGS compared to 43.8% of those with non-infectious etiology (p=0.002). mNGS had positive clinical impact in 40.3% of cases, negative impact in 2.8%, and no impact in 56.9%. Based on logistic regression, older age was the only factor associated with higher odds of positive impact. Chief complaint, positivity of cultures, number of pathogens retrieved, and type of prior antibiotic use were not associated with a higher rate of positive impact. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: Overall, mNGS was clinically beneficial in a large percentage of patients, with minimal negative impact. Besides age, we did not identify other factors associated with higher likelihood of positive impact. Larger analyses and further studies on the clinical impact of mNGS in different infectious syndromes are needed to better understand this promising tool in the rapid detection of infectious pathogens. [Figure: see text] Fungitell® is an FDA-cleared assay that detects 1,3-β-D-glucan in serum [Figure: see text] Clinical impact based on previously published criteria by Hogan et al. DISCLOSURES: All Authors: No reported disclosures.
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spelling pubmed-97523692022-12-16 321. Clinical Utility of Metagenomic Next-Generation Sequencing in Fever of Unclear Etiology: a Single Center Retrospective Cohort Study Daher, Marilyne Iordanov, Roumen Hamdi, Ahmed M Open Forum Infect Dis Abstracts BACKGROUND: Metagenomic next-generation sequencing (mNGS) has emerged as a novel diagnostic tool in infectious diseases. It analyzes genetic material from a given sample without the need for pre-determined sequences, matching it to reference genomes, thus identifying a wide range of pathogens. There is little guidance on the efficient and appropriate use of this tool. The goal of this study was to evaluate clinical utility of mNGS in patients with fever of unclear etiology. METHODS: We retrospectively analyzed 72 patients at our center from June 2017 to July 2021 with “fever of unclear etiology” and a mNGS test. The assay we used was the Karius Test™, a College of American Pathologists-accredited NGS laboratory. Two independent reviews of each case were performed to determine clinical impact of mNGS using previously published criteria by Hogan et al. Logistic regression was used to identify factors associated with positive clinical impact. RESULTS: We included 72 patients, 62.5% males, median age 56. Most common comorbidities were hypertension (43.1%) and diabetes (23.6%). All patients had fever at time of evaluation. 26.4% had cough, 16.7% abdominal pain, and 15.3% shortness of breath. Median turnaround time of the test was 26 hours. At least one organism was reported in 65.3% of cases. Most common identified organisms were EBV (13.9%), CMV (12.5%), and Rickettsia typhi (11.1%). Of those with an infectious etiology of their fever, 86.8% had positive mNGS compared to 43.8% of those with non-infectious etiology (p=0.002). mNGS had positive clinical impact in 40.3% of cases, negative impact in 2.8%, and no impact in 56.9%. Based on logistic regression, older age was the only factor associated with higher odds of positive impact. Chief complaint, positivity of cultures, number of pathogens retrieved, and type of prior antibiotic use were not associated with a higher rate of positive impact. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: Overall, mNGS was clinically beneficial in a large percentage of patients, with minimal negative impact. Besides age, we did not identify other factors associated with higher likelihood of positive impact. Larger analyses and further studies on the clinical impact of mNGS in different infectious syndromes are needed to better understand this promising tool in the rapid detection of infectious pathogens. [Figure: see text] Fungitell® is an FDA-cleared assay that detects 1,3-β-D-glucan in serum [Figure: see text] Clinical impact based on previously published criteria by Hogan et al. DISCLOSURES: All Authors: No reported disclosures. Oxford University Press 2022-12-15 /pmc/articles/PMC9752369/ http://dx.doi.org/10.1093/ofid/ofac492.399 Text en © The Author(s) 2022. 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 Abstracts
Daher, Marilyne
Iordanov, Roumen
Hamdi, Ahmed M
321. Clinical Utility of Metagenomic Next-Generation Sequencing in Fever of Unclear Etiology: a Single Center Retrospective Cohort Study
title 321. Clinical Utility of Metagenomic Next-Generation Sequencing in Fever of Unclear Etiology: a Single Center Retrospective Cohort Study
title_full 321. Clinical Utility of Metagenomic Next-Generation Sequencing in Fever of Unclear Etiology: a Single Center Retrospective Cohort Study
title_fullStr 321. Clinical Utility of Metagenomic Next-Generation Sequencing in Fever of Unclear Etiology: a Single Center Retrospective Cohort Study
title_full_unstemmed 321. Clinical Utility of Metagenomic Next-Generation Sequencing in Fever of Unclear Etiology: a Single Center Retrospective Cohort Study
title_short 321. Clinical Utility of Metagenomic Next-Generation Sequencing in Fever of Unclear Etiology: a Single Center Retrospective Cohort Study
title_sort 321. clinical utility of metagenomic next-generation sequencing in fever of unclear etiology: a single center retrospective cohort study
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752369/
http://dx.doi.org/10.1093/ofid/ofac492.399
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