Bacteremia Sepsis

In the context of a bacteremia, although significant progress has been made in speeding up pathogen identification once a blood culture bottle turns positive, few cost-effective solutions have been proposed to improve the earlier stages of the process-specifically, from blood collection to bottle positivity. The investigators propose that transport time could be leveraged to grow and identify bacteria, enabling faster access to actionable results through innovative technologies. This project aims to develop a bacterial identification database by analyzing the electrochemical profile of bacteria growing within the blood culture bottle, using machine learning.

The ACT-FAST study aims to compare commercially available Rapid Antimicrobial Susceptibility Testing (R-AST) tools with the current standard of care for patients with Bloodstream Infections (BSI). The primary objective is to evaluate whether "early targeted" antibiotic prescriptions, guided by these rapid tests, can improve antimicrobial stewardship and patient clinical outcomes. To facilitate the evaluation of various diagnostic tools-including those currently on the market and those emerging in the near future-this study utilizes an adaptive clinical trial platform. This flexible design allows for the continuous assessment of different R-AST technologies within a single master protocol, ensuring that the most effective diagnostic strategies are identified efficiently.