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Advances in diagnostic tools for respiratory tract infections: from tuberculosis to COVID-19 – changing paradigms?

Authors :
Zoran Stojanovic
Filipe Gonçalves-Carvalho
Alicia Marín
Jorge Abad Capa
Jose Domínguez
Irene Latorre
Alicia Lacoma
Cristina Prat-Aymerich
Source :
ERJ Open Research, Vol 8, Iss 3 (2022)
Publication Year :
2022
Publisher :
European Respiratory Society, 2022.

Abstract

Respiratory tract infections (RTIs) are one of the most common reasons for seeking healthcare, but are amongst the most challenging diseases in terms of clinical decision-making. Proper and timely diagnosis is critical in order to optimise management and prevent further emergence of antimicrobial resistance by misuse or overuse of antibiotics. Diagnostic tools for RTIs include those involving syndromic and aetiological diagnosis: from clinical and radiological features to laboratory methods targeting both pathogen detection and host biomarkers, as well as their combinations in terms of clinical algorithms. They also include tools for predicting severity and monitoring treatment response. Unprecedented milestones have been achieved in the context of the COVID-19 pandemic, involving the most recent applications of diagnostic technologies both at genotypic and phenotypic level, which have changed paradigms in infectious respiratory diseases in terms of why, how and where diagnostics are performed. The aim of this review is to discuss advances in diagnostic tools that impact clinical decision-making, surveillance and follow-up of RTIs and tuberculosis. If properly harnessed, recent advances in diagnostic technologies, including omics and digital transformation, emerge as an unprecedented opportunity to tackle ongoing and future epidemics while handling antimicrobial resistance from a One Health perspective.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
23120541
Volume :
8
Issue :
3
Database :
Directory of Open Access Journals
Journal :
ERJ Open Research
Publication Type :
Academic Journal
Accession number :
edsdoj.93dd852ad794c24a5378b2463aa97f0
Document Type :
article
Full Text :
https://doi.org/10.1183/23120541.00113-2022