ArticleJournal of intensive care2022
A prospective observational cohort study to identify inflammatory biomarkers for the diagnosis and prognosis of patients with sepsis.
Article in Journal of intensive care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03841162 (Fast Assay for Pathogen Identification and Characterization - Prospective Observational Study), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Fast Assay for Pathogen Identification and Characterization - Prospective Observational Study
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Predictive enrichment using biomarkers in studies of critically-ill patients with sepsis: a systematic review.Critical care (London, England) · 2025Pooled it
- Reference intervals reimagined with IRIS for earlier detection and better disease monitoring.Scientific reports · 2026Article
- Nanomaterial-nucleic acid probe synergy: accelerating rapid pathogen detection and antimicrobial susceptibility testing in bloodstream infections.Folia microbiologica · 2026Review
- Pathway-level profiling of the sepsis proteome reveals immune and transcriptional dysregulation.Molecular medicine (Cambridge, Mass.) · 2026Article
- Early biomarkers for predicting sepsis-induced shock: insights from inflammatory pathways and immune response.Frontiers in pharmacology · 2026Review
- Proximity extension assay-based targeted proteomics for biomarker discovery in adult bacterial infections.Frontiers in cellular and infection microbiology · 2026Review
- The Plasma Proteome and Risk of Future Venous Thromboembolism-Results from the HUNT Study in Thrombosis and Haemostasis.Thrombosis and haemostasis · 2025Article
- Rapid and Differential Diagnosis of Sepsis Stages Using an Advanced 3D Plasmonic Bimetallic Alloy Nanoarchitecture-Based SERS Biosensor Combined with Machine Learning for Multiple Analyte Identification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Synthetic plasma pool cohort correction for affinity-based proteomics datasets allows multiple study comparison.Briefings in bioinformatics · 2024Article
- Identification of biomarkers and therapeutic targets related to Sepsis-associated encephalopathy in rats by quantitative proteomics.BMC genomics · 2023Article
- Performance effectiveness of vital parameter combinations for early warning of sepsis-an exhaustive study using machine learning.JAMIA open · 2022Article
- A cytokine/PTX3 prognostic index as a predictor of mortality in sepsis.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 4 countries.
Funding
Abstract
backgroundSepsis is a life-threatening organ dysfunction. A fast diagnosis is crucial for patient management. Proteins that are synthesized during the inflammatory response can be used as biomarkers, helping in a rapid clinical assessment or an early diagnosis of infection. The aim of this study was to identify biomarkers of inflammation for the diagnosis and prognosis of infection in patients with suspected sepsis.
methodsIn total 406 episodes were included in a prospective cohort study. Plasma was collected from all patients with suspected sepsis, for whom blood cultures were drawn, in the emergency department (ED), the department of infectious diseases, or the haemodialysis unit on the first day of a new episode. Samples were analysed using a 92-plex proteomic panel based on a proximity extension assay with oligonucleotide-labelled antibody probe pairs (OLink, Uppsala, Sweden). Supervised and unsupervised differential expression analyses and pathway enrichment analyses were performed to search for inflammatory proteins that were different between patients with viral or bacterial sepsis and between patients with worse or less severe outcome.
resultsSupervised differential expression analysis revealed 21 proteins that were significantly lower in circulation of patients with viral infections compared to patients with bacterial infections. More strongly, higher expression levels were observed for 38 proteins in patients with high SOFA scores (> 4), and for 21 proteins in patients with worse outcome. These proteins are mostly involved in pathways known to be activated early in the inflammatory response. Unsupervised, hierarchical clustering confirmed that inflammatory response was more strongly related to disease severity than to aetiology.
conclusionSeveral differentially expressed inflammatory proteins were identified that could be used as biomarkers for sepsis. These proteins are mostly related to disease severity. Within the setting of an emergency department, they could be used for outcome prediction, patient monitoring, and directing diagnostics. TRAIL REGISTRATION NUMBER: clinicaltrial.gov identifier NCT03841162.
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