Enhancing infection diagnostics in advanced chronic liver disease: harnessing clinical metagenomics for rapid pathogen and antimicrobial resistance detection

Résumé fourni par la source

Patients with advanced chronic liver disease who have underlying cirrhosis are highly susceptible to bacterial infections, which significantly increase the risk of complications and mortality, compounded by escalating antimicrobial resistance. The current gold standard for infection detection and antimicrobial resistance (AMR) profiling remains dependant on traditional microbiological methods. These conventional approaches are slow, labour-intensive, and often fail to deliver timely and accurate results, delaying critical antimicrobial treatment decisions. Clinical metagenomics (CMg) is emerging as a transformative molecular-based tool in infection diagnostics. By enabling the direct sequencing of pathogens from patient-derived samples, CMg offers rapid and comprehensive identification of pathogens and their resistance profiles. Incorporating this technology into the clinical management of patients with cirrhosis has potential to address diagnostic challenges, reduce reliance on broad-spectrum antibiotics and improve outcomes. To effectively incorporate CMg into infection diagnostics, it will be essential to embed of point-of-care sequencing, standardisation of AMR databases, and accessibility to bioinformatics workflows.

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