Duncan, CF; Youngstein, T; Kirrane, MD; Lonsdale, DO
(2021)
Diagnostic Challenges in Sepsis.
Curr Infect Dis Rep, 23 (12).
p. 22.
ISSN 1523-3847
https://doi.org/10.1007/s11908-021-00765-y
SGUL Authors: Lonsdale, Dagan
Abstract
Purpose of Review: Sepsis is a leading cause of death worldwide. Groundbreaking international collaborative efforts have culminated in the widely accepted surviving sepsis guidelines, with iterative improvements in management strategies and definitions providing important advances in care for patients. Key to the diagnosis of sepsis is identification of infection, and whilst the diagnostic criteria for sepsis is now clear, the diagnosis of infection remains a challenge and there is often discordance between clinician assessments for infection. Recent Findings: We review the utility of common biochemical, microbiological and radiological tools employed by clinicians to diagnose infection and explore the difficulty of making a diagnosis of infection in severe inflammatory states through illustrative case reports. Finally, we discuss some of the novel and emerging approaches in diagnosis of infection and sepsis. Summary: While prompt diagnosis and treatment of sepsis is essential to improve outcomes in sepsis, there remains no single tool to reliably identify or exclude infection. This contributes to unnecessary antimicrobial use that is harmful to individuals and populations. There is therefore a pressing need for novel solutions. Machine learning approaches using multiple diagnostic and clinical inputs may offer a potential solution but as yet these approaches remain experimental.
Item Type: |
Article
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Additional Information: |
© Crown 2021
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: |
Critical care, Diagnosis, Infection, Sepsis, Microbiology |
SGUL Research Institute / Research Centre: |
Academic Structure > Institute of Medical & Biomedical Education (IMBE) |
Journal or Publication Title: |
Curr Infect Dis Rep |
ISSN: |
1523-3847 |
Language: |
eng |
Dates: |
Date | Event |
---|
25 October 2021 | Published | 24 September 2021 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
PubMed ID: |
34720754 |
![](http://static.pubmed.gov/portal/portal3rc.fcgi/2745237/img/27842) |
Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/113821 |
Publisher's version: |
https://doi.org/10.1007/s11908-021-00765-y |
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