Evidence map›Paper›PMID 40433392›Full record

ArticleFrontiers in immunology2025

Functional immune profiling of hyper- and hypo-inflammatory subphenotypes of critical illness: a secondary analysis.

E Scott Halstead, Daniel J McKeone, Abigail M Samuelsen, Shouhao Zhou, Anthony S Bonavia

Abstract read
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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

E Scott HalsteadDivision of Critical Care Medicine, Department of Pediatrics, Penn State University College of Medicine, Hershey, PA, United States.
Daniel J McKeoneCritical Illness and Sepsis Research Center, Penn State College of Medicine, Hershey, PA, United States.
Abigail M SamuelsenDivision of Critical Care Medicine, Department of Anesthesiology and Perioperative Medicine, Penn State University College of Medicine, Hershey, PA, United States.
Shouhao ZhouDivision of Biostatistics and Bioinformatics, Department of Public Health Sciences, Penn State University College of Medicine, Hershey, PA, United States.
Anthony S BonaviaDepartment of Molecular and Precision Medicine, Penn State University College of Medicine, Hershey, PA, United States.

Funding

Integration of Immunologic Phenotyping with Computational Approaches to Predict Clinical Trajectory in Septic PatientsR35GM150695 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Anthony S Bonavia · 2023 to 2026
$1.7M
NIGMS NIH HHS R35 GM150695
6 · The paper itself

Abstract

Introduction: Recent studies of adult sepsis patients demonstrate the existence of two subphenotypes that differ in risk of mortality: a hyper-inflammatory subphenotype with a high risk of mortality, and a hypo-inflammatory or "not hyper-inflamed" subphenotype with a relatively lower risk of mortality. We recently investigated the association of organ dysfunction with Methods: Subjects were consecutively identified adults, older than 18 years, and enrolled within 48 hours of sepsis onset. Whole blood cytokine analysis was performed in all patients. Additionally, Results: Subjects were divided into hypo-inflammatory (42 patients) and hyper-inflammatory (18 patients) subtypes using a previously validated parsimonious model based on concentrations of IL-6, TNFR1 and bicarbonate. The hyper- and hypo-inflammatory clusters demonstrated a near four-fold difference in 30-day mortality (44.4% vs 11.9%, p=0.0046). Following 4h of Conclusions: These data further validate the use of IL-6, TNFR1 and bicarbonate to discern inflammatory sub-groups of patients with critical illness. They also confirm the observation that the presence of the hyper-inflammatory subphenotype is often accompanied by a compensatory anti-inflammatory response syndrome. Future investigations should focus on prospective validation of this panel for prognostic enrichment of clinical research studies.

Indexed as

CytokinesInflammationSepsisAdultAgedBiomarkersCritical IllnessFemaleHumansMaleMiddle AgedPhenotypeBiomarkersCytokinesbiomarkercritical illnesscytokineshumansphenotypesepsis

Identifiers

PMID40433392
PMCPMC12109463

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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.