ArticlePloS one2018
Integrative omics to detect bacteremia in patients with febrile neutropenia.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Biomarkers for Diagnosing Febrile Illness in Immunocompromised Children: A Systematic Review of the Literature.Frontiers in pediatrics · 2022Pooled it
- The Feasibility of Host Transcriptome Profiling as a Diagnostic Tool for Microbial Etiology in Childhood Cancer Patients with Febrile Neutropenia.International journal of molecular sciences · 2020Trial
- Search for novel biomarkers of febrile neutropenia in hematological patients: an overview.Clinical and experimental medicine · 2025Review
- Metabolomics for the Diagnosis of Secondary Infections in Critically Ill Patients With COVID-19.Critical care explorations · 2025Article
- Evaluation of biomarkers for intestinal damage in pediatric acute lymphoblastic leukemia.Scientific reports · 2025Article
- Plasma Profiling of Acute Myeloid Leukemia With Fever- and Infection-Related Complications During Chemotherapy-Induced Neutropenia.Cancer reports (Hoboken, N.J.) · 2024Article
- Metabolites and Cognitive Decline in a Puerto Rican Cohort.Journal of Alzheimer's disease : JAD · 2024Article
- A Protocol for Low-Input RNA-Sequencing of Patients with Febrile Neutropenia Captures Relevant Immunological Information.International journal of molecular sciences · 2023Article
- The Applicability of a 2-Transcript Signature to Identify Bacterial Infections in Children with Febrile Neutropenia.Children (Basel, Switzerland) · 2023Article
- Infection Biomarkers Based on Metabolomics.Metabolites · 2022Review
- Blood transcriptomics identifies immune signatures indicative of infectious complications in childhood cancer patients with febrile neutropenia.Clinical & translational immunology · 2022Article
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Corrections and comments
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Authors and funding
12 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundCancer chemotherapy-associated febrile neutropenia (FN) is a common condition that is deadly when bacteremia is present. Detection of bacteremia depends on culture, which takes days, and no accurate predictive tools applicable to the initial evaluation are available. We utilized metabolomics and transcriptomics to develop multivariable predictors of bacteremia among FN patients.
methodsWe classified emergency department patients with FN and no apparent infection at presentation as bacteremic (cases) or not (controls), according to blood culture results. We assessed relative metabolite abundance in plasma, and relative expression of 2,560 immunology and cancer-related genes in whole blood. We used logistic regression to identify multivariable predictors of bacteremia, and report test characteristics of the derived predictors.
resultsFor metabolomics, 14 bacteremic cases and 25 non-bacteremic controls were available for analysis; for transcriptomics we had 7 and 22 respectively. A 5-predictor metabolomic model had an area under the receiver operating characteristic curve of 0.991 (95%CI: 0.972,1.000), 100% sensitivity, and 96% specificity for identifying bacteremia. Pregnenolone steroids were more abundant in cases and carnitine metabolites were more abundant in controls. A 3-predictor gene expression model had corresponding results of 0.961 (95%CI: 0.896,1.000), 100%, and 86%. Genes involved in innate immunity were differentially expressed.
conclusionsClassifiers derived from metabolomic and gene expression data hold promise as objective and accurate predictors of bacteremia among FN patients without apparent infection at presentation, and can provide insights into the underlying biology. Our findings should be considered illustrative, but may lay the groundwork for future biomarker development.
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