Which Current and Novel Diagnostic Avenues for Bacterial Respiratory Diseases?

Héloïse Rytter1,2,3, Anne Jamet1,2,3,4, Mathieu Coureuil1,2,3

  • 1Université de Paris, Paris, France.

Frontiers in Microbiology
|December 28, 2020
PubMed

Insights

Accurate diagnosis of bacterial pneumonia is crucial, especially with rising multidrug-resistant bacteria. This review covers current and emerging diagnostic technologies, including AI and rapid tests, to improve patient outcomes.

Area of Science:

  • Medical Microbiology
  • Infectious Diseases
  • Diagnostic Technology

Background:

  • Bacterial acute pneumonia causes significant global mortality.
  • Multidrug-resistant bacteria pose a growing threat to public health.
  • Effective diagnosis is critical for managing pneumonia patients.

Purpose of the Study:

  • To review existing diagnostic techniques for bacterial pneumonia.
  • To explore novel, connected technologies (AI-based, Omics-based) and rapid tests for improved diagnosis.
  • To emphasize the synergy between basic and clinical research for better lung infection management.

Main Methods:

  • Literature review of current and emerging diagnostic methods for bacterial pneumonia.
  • Analysis of advancements in connected technologies like artificial intelligence and Omics.
  • Evaluation of rapid diagnostic tests for pathogen identification.

Main Results:

  • Established methods for pneumonia pathogen identification are discussed.
  • Promising new technologies, including AI, Omics, and rapid tests, are highlighted.
  • The review emphasizes the need for integrated approaches in diagnostics.

Conclusions:

  • Novel diagnostic technologies are essential to combat the threat of multidrug-resistant bacteria in pneumonia.
  • Connected technologies and rapid tests offer significant potential for improving pneumonia diagnosis and management.
  • Collaboration between fundamental and clinical research will enhance understanding and diagnosis of lung infections.

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