Systems and methods for early prediction of sepsis based on biomarkers of bacterial metabolism

By employing optical methods to detect fluorescent biomarkers of bacterial metabolism, the system enables rapid sepsis diagnosis within two hours, addressing the inefficiencies of current methods and potentially saving lives by facilitating early treatment.

WO2025064996A1 Publication Date: 2025-03-27THE GENERAL HOSPITAL CORP
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Patent Information

Application Number
PCT/US2024/047978
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-09-22
Filing Date
2024-09-23
Publication Date
2025-03-27

AI Technical Summary

Technical Problem

Current methods for diagnosing sepsis are slow and inefficient, often taking days to provide results, which can lead to delayed treatment and increased mortality, especially in trauma patients where early detection is critical.

Method used

The development of systems and methods using optical techniques to detect fluorescent biomarkers of bacterial metabolism, such as protoporphyrin and P-lactamase enzyme-activated fluorophore, to rapidly identify sepsis within the first two hours of infection.

Benefits of technology

This approach allows for rapid and accurate sepsis diagnosis, enabling timely intervention and potentially reducing mortality rates by detecting sepsis as early as one to two hours after infection.

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Abstract

Systems and methods of predicting and / or determining sepsis perform and / or comprise providing a plurality of blood samples of a subject; administering a first pathogen biomarker indicator to a first set of samples of the plurality of blood samples; administering a second pathogen biomarker indicator to a second set of samples of the plurality of blood samples; providing the first set of samples and the second set of samples to wells of a sample-containing device; obtaining fluorescence image data of the first set of samples and the second set of samples by an optical inspection system; and based on the fluorescence image data, generating a determination of whether the subject has sepsis.
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