Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Bacterial versus non-bacterial infections

A methodology to support use-case-driven product development of diagnostics

Bibliographic Data

ID21879329
AuthorsCamille Escadafal (0000-0002-0268-750X, FIND, corresponding author), Steffen Geis (London School of Hygiene & Tropical Medicine), André Machado De Siqueira (0000-0003-2208-0294, Instituto Evandro Chagas), Sélidji Todagbé Agnandji (0000-0003-4693-4207, Centre de Recherche Médicales de Lambaréné), Techalew Shimelis (0000-0003-3531-0482, Hawassa University), Birkneh Tilahun Tadesse (0000-0003-4005-8605, FIND), Marguerite Massinga Loembe (0000-0002-7822-566X, Africa Centres for Disease Control and Prevention), Victoria Harris (0000-0002-3345-2826, FIND), B Leticia Fernandez-Carballo (FIND), Aurélien Macé (0000-0002-3282-1650, FIND), Stefano Ongarello (0000-0002-0032-0691, FIND), William Rodriguez (FIND), Sabine Dittrich (0000-0002-4522-2788, FIND)
Year2020
Volume5
Issue10
Pagese003141
Publication date2020-10-01
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2020-003141
PMID33087393
OpenAlexW3094400332
LanguageEN
Citations received1
References cited23

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

Antibiotic resistance · Antibiotics · Biology · Biomarker · Diagnostic test · Disease · Health care · Intensive care medicine · Pathology · Political science · Medicine · Mosquito-borne diseases and control · Thermal Regulation in Medicine · Viral Infections and Vectors · Microbiology · Pediatrics

  • Understanding complexities in the uptake of indigenously developed rapid point-of-care diagnostics for containment of antimicrobial resistance in India

    Open Access•Monica Sharma, Raman Gangakhedkar et al.•BMJ Global Health•2021

Citations per year0.2
Citation span2021 - 2021 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae