Evidence map›Paper›PMID 41973367›Full record

Observational studyInfection2026

Correlation of brain injury biomarkers with brain dysfunction, brain injury, and outcomes in critically ill patients: a post hoc exploratory analysis.

M Rühlmann, L Xu, M Bauer, T Lehmann, G Panagiotou, S Neugebauer, M Kiehntopf, F Klawitter, J Ehler

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Infection, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06749483 (The Gut Microbiome - Source of Sepsis and Novel Target in Intensive Care Units? Research on Human Tissue, Body Fluids, Neuropsychological Assessment and Brain Imaging), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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.

NCT06749483 recruitingnot on this map

The Gut Microbiome - Source of Sepsis and Novel Target in Intensive Care Units? Research on Human Tissue, Body Fluids, Neuropsychological Assessment and Brain Imaging

TypeobservationalSponsorJena University HospitalRan2024 to 2026Enrolled100ConditionsCritical Illness, Intensive Care Unit Delirium, Neurocognitive Deficit, Microbiome,immune Function, Critically Ill
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

9 authors.

M RühlmannDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany.
L XuDepartment of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute (Leibniz-HKI), Jena, Germany.
M BauerDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany.
T LehmannInstitute of Medical Statistics, Computer Sciences and Data Science, Bachstraße 18, 07743, Jena, Germany.
G PanagiotouDepartment of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute (Leibniz-HKI), Jena, Germany.
S NeugebauerInstitute of Clinical Chemistry and Laboratory Diagnostics, Am Klinikum 1, 07747, Jena, Germany.
M KiehntopfInstitute of Clinical Chemistry and Laboratory Diagnostics, Am Klinikum 1, 07747, Jena, Germany.
F KlawitterDepartment of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Center Rostock, Schillingallee 35, 18057, Rostock, Germany.
J EhlerDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany. johannes.ehler@med.uni-jena.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeClinical assessment of brain dysfunction in critically ill patients is frequently limited by impaired consciousness and poor compliance. Blood-based biomarkers may facilitate detection of neurocognitive impairment, quantify structural brain injury, and improve prognostication. This study evaluated the potential diagnostic role of validated brain injury biomarkers compared with routine diagnostics in critically ill patients.

methodsWe performed a single-center post hoc analysis of a prospective observational sepsis study conducted in two perioperative ICUs. Critically ill patients with and without sepsis were included. Delirium was assessed using validated tools and structural brain injury was evaluated from radiology reports. Biomarkers-neurofilament light chain (NfL), ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), glial fibrillary acidic protein (GFAP) and Tau-were measured at two time points (enrollment and day 7). Neurological outcome was assessed using the modified Rankin Scale (mRS). 90-day mortality was recorded.

results90 patients were analyzed (60 with, 30 without sepsis). Delirium occurred in 54.4% and structural brain injury in 42.2%. At ICU discharge, 23.3% had favorable neurological outcomes. NfL levels were higher in septic patients with delirium (p = 0.038). GFAP was significantly elevated in patients with structural brain injury (p < 0.001). All biomarkers showed prognostic potential; GFAP demonstrated the strongest association with unfavorable outcome (aOR 5.11, 95% CI 1.57-22.33). GFAP and UCH-L1 improved AUC in reference model 1 (age + SOFA), while all four biomarkers improved AUC in models 2 (age + GCS) and 3 (APACHE-II) for predicting poor outcome and 90-day mortality.

conclusionBrain injury biomarkers correlate with delirium and structural injury and may enhance outcome prediction in heterogeneous critically ill patients.

trial registrationClinicalTrials.gov. NCT06749483. Study Registration Date: 23 December 2024.

Indexed as

BiomarkersBrain InjuriesCritical IllnessSepsisAgedDeliriumFemaleGlial Fibrillary Acidic ProteinHumansIntensive Care UnitsMaleMiddle AgedPrognosisProspective StudiesUbiquitin ThiolesteraseBiomarkersGlial Fibrillary Acidic ProteinUbiquitin ThiolesteraseBiomarkersBrain injuriesCritical illnessDeliriumIntensive care medicineNeurocognitive disordersSepsis

Identifiers

PMID41973367
PMCPMC13323603

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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.