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Bacterial versus non-bacterial infections: a methodology to support use-case-driven product development of diagnostics

Acute febrile illness (AFI) is one of the most common reasons for seeking medical care in low-income and middle-income countries. Bacterial infections account for a relatively small proportion of AFIs; however, in the absence of a simple diagnostic test to guide clinical decisions, healthcare profes...

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Autores principales: Escadafal, Camille, Geis, Steffen, Siqueira, A M, Agnandji, Selidji T, Shimelis, Techalew, Tadesse, Birkneh Tilahun, Massinga Loembé, Marguerite, Harris, Victoria, Fernandez-Carballo, B Leticia, Macé, Aurélien, Ongarello, Stefano, Rodriguez, William, Dittrich, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580043/
https://www.ncbi.nlm.nih.gov/pubmed/33087393
http://dx.doi.org/10.1136/bmjgh-2020-003141
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author Escadafal, Camille
Geis, Steffen
Siqueira, A M
Agnandji, Selidji T
Shimelis, Techalew
Tadesse, Birkneh Tilahun
Massinga Loembé, Marguerite
Harris, Victoria
Fernandez-Carballo, B Leticia
Macé, Aurélien
Ongarello, Stefano
Rodriguez, William
Dittrich, Sabine
author_facet Escadafal, Camille
Geis, Steffen
Siqueira, A M
Agnandji, Selidji T
Shimelis, Techalew
Tadesse, Birkneh Tilahun
Massinga Loembé, Marguerite
Harris, Victoria
Fernandez-Carballo, B Leticia
Macé, Aurélien
Ongarello, Stefano
Rodriguez, William
Dittrich, Sabine
author_sort Escadafal, Camille
collection PubMed
description Acute febrile illness (AFI) is one of the most common reasons for seeking medical care in low-income and middle-income countries. Bacterial infections account for a relatively small proportion of AFIs; however, in the absence of a simple diagnostic test to guide clinical decisions, healthcare professionals often presume that a non-malarial febrile illness is bacterial in origin, potentially resulting in inappropriate antibiotic use. An accurate differential diagnostic tool for AFIs is thus essential, to both limit antibiotic use to bacterial infections and address the antimicrobial resistance crisis that is emerging globally, without resorting to multiple or complex pathogen-specific assays. The Biomarker for Fever-Diagnostic (BFF-Dx) study is one of the largest fever biomarker studies ever undertaken. We collected samples and classified disease aetiology in more than 1900 individuals, distributed among enrolment centres in three countries on two continents. Identical protocols were followed at each study site, and the same analyses were conducted in each setting, enabling like-with-like comparisons to be made among the large sample set generated. The BFF-Dx methodology can act as a model for other researchers, facilitating wider utility of the work in the future. The established sample collection is now accessible to researchers and companies and will facilitate the development of future fever-related diagnostic tests. Here, we outline the methodology used to determine the sample populations and to differentiate bacterial versus non-bacterial AFIs. Future publications will set out in more detail the study’s demographics, the causes of fever identified and the performance of selected biomarkers.
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spelling pubmed-75800432020-10-27 Bacterial versus non-bacterial infections: a methodology to support use-case-driven product development of diagnostics Escadafal, Camille Geis, Steffen Siqueira, A M Agnandji, Selidji T Shimelis, Techalew Tadesse, Birkneh Tilahun Massinga Loembé, Marguerite Harris, Victoria Fernandez-Carballo, B Leticia Macé, Aurélien Ongarello, Stefano Rodriguez, William Dittrich, Sabine BMJ Glob Health Practice Acute febrile illness (AFI) is one of the most common reasons for seeking medical care in low-income and middle-income countries. Bacterial infections account for a relatively small proportion of AFIs; however, in the absence of a simple diagnostic test to guide clinical decisions, healthcare professionals often presume that a non-malarial febrile illness is bacterial in origin, potentially resulting in inappropriate antibiotic use. An accurate differential diagnostic tool for AFIs is thus essential, to both limit antibiotic use to bacterial infections and address the antimicrobial resistance crisis that is emerging globally, without resorting to multiple or complex pathogen-specific assays. The Biomarker for Fever-Diagnostic (BFF-Dx) study is one of the largest fever biomarker studies ever undertaken. We collected samples and classified disease aetiology in more than 1900 individuals, distributed among enrolment centres in three countries on two continents. Identical protocols were followed at each study site, and the same analyses were conducted in each setting, enabling like-with-like comparisons to be made among the large sample set generated. The BFF-Dx methodology can act as a model for other researchers, facilitating wider utility of the work in the future. The established sample collection is now accessible to researchers and companies and will facilitate the development of future fever-related diagnostic tests. Here, we outline the methodology used to determine the sample populations and to differentiate bacterial versus non-bacterial AFIs. Future publications will set out in more detail the study’s demographics, the causes of fever identified and the performance of selected biomarkers. BMJ Publishing Group 2020-10-21 /pmc/articles/PMC7580043/ /pubmed/33087393 http://dx.doi.org/10.1136/bmjgh-2020-003141 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Practice
Escadafal, Camille
Geis, Steffen
Siqueira, A M
Agnandji, Selidji T
Shimelis, Techalew
Tadesse, Birkneh Tilahun
Massinga Loembé, Marguerite
Harris, Victoria
Fernandez-Carballo, B Leticia
Macé, Aurélien
Ongarello, Stefano
Rodriguez, William
Dittrich, Sabine
Bacterial versus non-bacterial infections: a methodology to support use-case-driven product development of diagnostics
title Bacterial versus non-bacterial infections: a methodology to support use-case-driven product development of diagnostics
title_full Bacterial versus non-bacterial infections: a methodology to support use-case-driven product development of diagnostics
title_fullStr Bacterial versus non-bacterial infections: a methodology to support use-case-driven product development of diagnostics
title_full_unstemmed Bacterial versus non-bacterial infections: a methodology to support use-case-driven product development of diagnostics
title_short Bacterial versus non-bacterial infections: a methodology to support use-case-driven product development of diagnostics
title_sort bacterial versus non-bacterial infections: a methodology to support use-case-driven product development of diagnostics
topic Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580043/
https://www.ncbi.nlm.nih.gov/pubmed/33087393
http://dx.doi.org/10.1136/bmjgh-2020-003141
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