Highlights
- •Gene expression patterns can distinguish septic shock from non-septic shock.
- •Differentially expressed genes were IGHG1, IL1R2, LCN2, LTF, MMP8, and OLFM4.
- •This tool allows a correct diagnosis to provide an immediate and specific treatment.
Abstract
Objectives
To obtain a gene expression signature to distinguish between septic shock and non-septic
shock in postoperative patients, since patients with both conditions show similar
signs and symptoms.
Methods
Differentially expressed genes were selected by microarray analysis in the discovery
cohort. These genes were evaluated by quantitative real time polymerase chain reactions
in the validation cohort to determine their reliability and predictive capacity by
receiver operating characteristic curve analysis.
Results
Differentially expressed genes selected were IGHG1, IL1R2, LCN2, LTF, MMP8, and OLFM4. The multivariate regression model for gene expression presented an area under the
curve value of 0.922. These genes were able to discern between both shock conditions
better than other biomarkers used for diagnosis of these conditions, such as procalcitonin
(0.589), C-reactive protein (0.705), or neutrophils (0.605).
Conclusions
Gene expression patterns provided a robust tool to distinguish septic shock from non-septic
shock postsurgical patients and shows the potential to provide an immediate and specific
treatment, avoiding the unnecessary use of broad-spectrum antibiotics and the development
of antimicrobial resistance, secondary infections and increase health care costs.
Keywords
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Article info
Publication history
Published online: June 15, 2021
Accepted:
May 28,
2021
Identification
Copyright
© 2021 The British Infection Association. Published by Elsevier Ltd. All rights reserved.
