Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783598714289389568 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7580043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT escadafalcamille bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT geissteffen bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT siqueiraam bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT agnandjiselidjit bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT shimelistechalew bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT tadessebirknehtilahun bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT massingaloembemarguerite bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT harrisvictoria bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT fernandezcarballobleticia bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT maceaurelien bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT ongarellostefano bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT rodriguezwilliam bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics AT dittrichsabine bacterialversusnonbacterialinfectionsamethodologytosupportusecasedrivenproductdevelopmentofdiagnostics |