Which Current and Novel Diagnostic Avenues for Bacterial Respiratory Diseases?

Héloïse Rytter (1) , Anne Jamet (1) , Mathieu Coureuil (1) , Alain Charbit (1) , Elodie Ramond (1)

1 INEM - UM 111 (UMR 8253 / U1151) - Institut Necker Enfants-Malades

Bacterial acute pneumonia is responsible for an extremely large burden of death worldwide and diagnosis is paramount in the management of patients. While multidrugresistant bacteria is one of the biggest health threats in the coming decades, clinicians urgently need access to novel diagnostic technologies. In this review, we will first present the already existing and largely used techniques that allow identifying pathogen-associated pneumonia. Then, we will discuss the latest and most promising technological advances that are based on connected technologies (artificial intelligencebased and Omics-based) or rapid tests, to improve the management of lung infections caused by pathogenic bacteria. We also aim to highlight the mutual benefits of fundamental and clinical studies for a better understanding of lung infections and their more efficient diagnostic management.

Mots clés: lung disease (diagnosis); respiratory tract infection; diagnostic test; artificial intelligence; rapid test

Domaines: Maladies infectieuses; Pneumologie et système respiratoire; Ingénierie biomédicale

Héloïse Rytter, Anne Jamet, Mathieu Coureuil, Alain Charbit, Elodie Ramond. Which Current and Novel Diagnostic Avenues for Bacterial Respiratory Diseases?. Frontiers in Microbiology, 2020, 11, pp.616971. ⟨10.3389/fmicb.2020.616971⟩. ⟨hal-03217120⟩