ArticlePloS one2016
Metabolites in Blood for Prediction of Bacteremic Sepsis in the Emergency Room.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03314831 (The Role of Myristic Acid in Serum for Early Diagnosis of Sepsis and Comparison With Selected Biomarkers of Sepsis - Procalcitonin, Presepsin. Correlation With Blood Culture and Detection of Infection by Molecular Biological Methods), which is not on this map. Cited by 33 papers.
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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.
The Role of Myristic Acid in Serum for Early Diagnosis of Sepsis and Comparison With Selected Biomarkers of Sepsis - Procalcitonin, Presepsin. Correlation With Blood Culture and Detection of Infection by Molecular Biological Methods
Who cites it
33 citing papers in PubMed, 45 citations in OpenAlex.
- Metabolomics of Sepsis and Acute Kidney Injury in Infants and Children: Current Challenges in Prevention, Diagnosis, and Management.Infectious diseases and therapy · 2025Review
- Metabolomics for the Diagnosis of Secondary Infections in Critically Ill Patients With COVID-19.Critical care explorations · 2025Article
- Towards novel BIOmarkers to diagnose SEPsis (BIOSEP) in the emergency room: a protocol for a multicentre, prospective cohort study.BMJ open · 2025Article
- Early Prediction of Septic Shock in Emergency Department Using Serum Metabolites.Journal of the American Society for Mass Spectrometry · 2025Article
- Advances in metabolomics in critically ill patients with sepsis and septic shock.Clinical and experimental emergency medicine · 2025Article
- Exploring the circulating metabolome of sepsis: metabolomic and lipidomic profiles sampled in the ambulance.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Features of Metabolites and Biomarkers in Inflammatory and Infectious Complications of Childhood Cancers.Biomedicines · 2024Article
- Modern approaches for detection of volatile organic compounds in metabolic studies focusing on pathogenic bacteria: Current state of the art.Journal of pharmaceutical analysis · 2024Review
- Advances in Mass Spectrometry-Based Blood Metabolomics Profiling for Non-Cancer Diseases: A Comprehensive Review.Metabolites · 2024Review
- Sepsis, Management & Advances in Metabolomics.Nanotheranostics · 2024Review
- Article
- Host Response Biomarkers for Sepsis in the Emergency Room.Critical care (London, England) · 2023Review
- Distinct subsets of neutrophils crosstalk with cytokines and metabolites in patients with sepsis.iScience · 2023Article
- Sepsis as a Challenge for Personalized Medicine.Journal of personalized medicine · 2022Article
- Clinical significance of lipid droplets formed in the peritoneal fluid after laparoscopic surgery for gastric cancer.Surgical endoscopy · 2022Article
- Severe COVID-19 Is Characterised by Perturbations in Plasma Amines Correlated with Immune Response Markers, and Linked to Inflammation and Oxidative Stress.Metabolites · 2022Article
- Metabolic preference assay for rapid diagnosis of bloodstream infections.Nature communications · 2022Article
- Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response.Metabolites · 2022Review
- Fibroblast Growth Factor 19 Improves LPS-Induced Lipid Disorder and Organ Injury by Regulating Metabolomic Characteristics in Mice.Oxidative medicine and cellular longevity · 2022Article
- Myristic Acid Serum Levels and Their Significance for Diagnosis of Systemic Inflammatory Response, Sepsis, and Bacteraemia.Journal of personalized medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A metabolomics approach for prediction of bacteremic sepsis in patients in the emergency room (ER) was investigated. In a prospective study, whole blood samples from 65 patients with bacteremic sepsis and 49 ER controls were compared. The blood samples were analyzed using gas chromatography coupled to time-of-flight mass spectrometry. Multivariate and logistic regression modeling using metabolites identified by chromatography or using conventional laboratory parameters and clinical scores of infection were employed. A predictive model of bacteremic sepsis with 107 metabolites was developed and validated. The number of metabolites was reduced stepwise until identifying a set of 6 predictive metabolites. A 6-metabolite predictive logistic regression model showed a sensitivity of 0.91(95% CI 0.69-0.99) and a specificity 0.84 (95% CI 0.58-0.94) with an AUC of 0.93 (95% CI 0.89-1.01). Myristic acid was the single most predictive metabolite, with a sensitivity of 1.00 (95% CI 0.85-1.00) and specificity of 0.95 (95% CI 0.74-0.99), and performed better than various combinations of conventional laboratory and clinical parameters. We found that a metabolomics approach for analysis of acute blood samples was useful for identification of patients with bacteremic sepsis. Metabolomics should be further evaluated as a new tool for infection diagnostics.
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