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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.
Abstract:
Bacterial acute pneumonia is responsible for an extremely large burden of death worldwide and diagnosis is paramount in the management of patients. While multidrug-resistant 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 intelligence-based 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.
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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