LSTM Home > LSTM Research > LSTM Online Archive

Proposed Framework for Conducting Clinically Relevant Translational Biomarker Research for the Diagnosis, Prognosis and Management of Sepsis

Ventura, François, Greub, Gilbert, Liles, W. Conrad and Jacob, Shevin ORCID: https://orcid.org/0000-0003-2425-9394 (2024) 'Proposed Framework for Conducting Clinically Relevant Translational Biomarker Research for the Diagnosis, Prognosis and Management of Sepsis'. Diagnostics, Vol 14, Issue 3, p. 300.

[img]
Preview
Text
diagnostics-14-00300.pdf - Published Version
Available under License Creative Commons Attribution.

Download (248kB) | Preview

Abstract

Although the diagnosis of sepsis requires the identification of the three components of infection, a systemic inflammation response, and organ dysfunction, there is currently no consensus on gold-standard criteria. There are however suggested tools and tests, which have been proposed in international guidelines, including those produced by the Surviving Sepsis Campaign. Biomarkers play an important role in these tools and tests, and numerous heterogeneous studies have been performed to evaluate their respective clinical utility. Our review of the current practice shows that no biomarkers of infection, systemic inflammation response, organ dysfunction and sepsis are currently specifically recommended, which is probably due to the lack of standardization of studies. We therefore propose to define a framework for conducting clinically relevant translational biomarker research and seek to establish ideal criteria that can be applied to an infection, systemic inflammation response, organ dysfunction and sepsis biomarkers, which can enable early screening of sepsis, diagnosis of sepsis at the time of clinical suspicion and monitoring of sepsis treatment efficacy.

Item Type: Article
Subjects: WC Communicable Diseases > Infection. Bacterial Infections > Bacterial Infections > WC 240 Bacteremia. Sepsis. Toxemias
Faculty: Department: Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI): https://doi.org/10.3390/diagnostics14030300
SWORD Depositor: JISC Pubrouter
Depositing User: JISC Pubrouter
Date Deposited: 08 Feb 2024 11:03
Last Modified: 08 Feb 2024 11:03
URI: https://archive.lstmed.ac.uk/id/eprint/23994

Statistics

View details

Actions (login required)

Edit Item Edit Item