ArticleCritical care explorations2021
A Transcriptomic Severity Metric That Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients.
Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05639504 (Sepsis Prognosis and Diagnosis in the Emergency Department Using a Host Response Classifier), which is not on this map. Cited by 15 papers.
What it found
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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.
Sepsis Prognosis and Diagnosis in the Emergency Department Using a Host Response Classifier (SPEED) UK - a Multi-Centre Observational Study
Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Clinical validation of an AI-based blood testing device for diagnosis and prognosis of acute infection and sepsis.Nature medicine · 2025Observational
- Analytical evaluation of TriVerity, a rapid diagnostic and prognostic host gene expression test performed on the Myrna instrument using RT-LAMP.Journal of clinical microbiology · 2025Article
- Monocyte Anisocytosis Can Discriminate Between Sepsis and Sterile Inflammation, but not Mortality, in Critically Ill Surgical/Trauma Patients: A Secondary Prospective Analysis.Critical care explorations · 2025Observational
- FUNCTIONAL IMMUNOPHENOTYPING FOR PRECISION THERAPIES IN SEPSIS.Shock (Augusta, Ga.) · 2025Review
- A 29-mRNA host-response classifier identifies bacterial infections following liver transplantation - a pilot study.Langenbeck's archives of surgery · 2024Observational
- A Transcriptomic Severity Classifier IMX-SEV-3b to Predict Mortality in Intensive Care Unit Patients with COVID-19: A Prospective Observational Pilot Study.Journal of clinical medicine · 2023Article
- Defining critical illness using immunological endotypes in patients with and without sepsis: a cohort study.Critical care (London, England) · 2023Article
- Defining critical illness using immunological endotypes in patients with and without of sepsis: A cohort study.Research square · 2023Article
- Identification of a sub-group of critically ill patients with high risk of intensive care unit-acquired infections and poor clinical course using a transcriptomic score.Critical care (London, England) · 2023Article
- Transcriptomic clustering of critically ill COVID-19 patients.The European respiratory journal · 2023Article
- Sepsis biomarkers and diagnostic tools with a focus on machine learning.EBioMedicine · 2022Review
- Impact of an electronic alert system for pediatric sepsis screening a tertiary hospital experience.Scientific reports · 2022Article
- Evaluation of a Multivalent Transcriptomic Metric for Diagnosing Surgical Sepsis and Estimating Mortality Among Critically Ill Patients.JAMA network open · 2022Article
- Perspectives on the Immune System in Sepsis.Maedica · 2022Article
- Mortality Prediction in Sepsis With an Immune-Related Transcriptomics Signature: A Multi-Cohort Analysis.Frontiers in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesClinically deployable methods for the rapid and accurate prediction of sepsis severity that could elicit a meaningful change in clinical practice are currently lacking. We evaluated a whole-blood, multiplex host-messenger RNA expression metric, Inflammatix-Severity-2, for identifying septic, hospitalized patients' likelihood of 30-day mortality, development of chronic critical illness, discharge disposition, and/or secondary infections.
designRetrospective, validation cohort analysis.
settingSingle, academic health center ICU. PATIENTS: Three hundred thirty-five critically ill adult surgical patients with sepsis.
interventionsNone. MEASUREMENTS AND MAIN
resultsWhole blood was collected in PAXgene Blood RNA collection tubes at 24 hours after sepsis diagnosis and analyzed using a custom 29-messenger RNA classifier (Inflammatix-Severity-2) in a Clinical Laboratory Improvement Amendments certified diagnostic laboratory using the NanoString FLEX platform. Among patients meeting Sepsis-3 criteria, the Inflammatix-Severity-2 severity score was significantly better (
conclusionsThe Inflammatix-Severity-2 severity score was superior at predicting secondary infections and overall adverse clinical outcomes compared with other common metrics. Combining a rapidly measured transcriptomic metric with clinical or physiologic indices offers the potential to optimize risk-based resource utilization and patient management adjustments that may improve outcomes in surgical sepsis. Hospitalized patients who are septic and present with an elevated IMX-SEV2 severity score and preexisting comorbidities may be ideal candidates for clinical interventions aimed at reducing the risk of secondary infections and adverse clinical outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.