An NGS-assisted diagnostic workflow for culture-independent detection of bloodstream pathogens and prediction of antimicrobial resistances in sepsis
PISTE technology exhibited high diagnostic accuracy and significantly reduced turnaround time compared to conventional cultures, supporting its potential as a short turnaround time and reliable diagnostic tool for bloodstream infections. Further optimization and validation in larger cohorts are warranted to enhance clinical implementation and improve antimicrobial stewardship in sepsis management.
Authors
- Garyphallia Poulakou (ORCID: https://orcid.org/0000-0003-0778-0006)
- Manuele Biazzo (ORCID: https://orcid.org/0000-0001-5998-0654)
- Panagiotis Koufargyris (ORCID: https://orcid.org/0000-0001-7800-3306)
- Elisavet Tasouli
- David Pinzauti (ORCID: https://orcid.org/0000-0001-8338-8212)
- Christine Podrini (ORCID: https://orcid.org/0000-0002-5391-3378)
- Styliani Sympardi
- Asimina Safarika (ORCID: https://orcid.org/0000-0002-1039-6470)
- Georgia Damoraki (ORCID: https://orcid.org/0000-0001-7986-7720)
- Antonia Alevizou
- Ilias Skopelitis
- Evangelos J. Giamarellos-Bourbolis
Institutions
- National and Kapodistrian University of Athens (GR)
- Thriasio General Hospital of Elefsina (GR)
- General Hospital of Nikea (GR)
- Biota Pharmaceuticals (United States) (US)
- Prolepsis Institute (GR)
Publication Details
- Journal
- Frontiers in Cellular and Infection Microbiology
- Published
- 2025-09-01
- DOI
- https://doi.org/10.3389/fcimb.2025.1656171
- Citations
- 5
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 6.59