Evidence map›Paper›PMID 36479924›Full record

Observational studyAnnals of clinical and translational neurology2023

Neurofilament light chain levels predict encephalopathy and outcome in community-acquired pneumonia.

Ha-Yeun Chung, Jonathan Wickel, Marcus Oswald, Justina Dargvainiene, Jan Rupp, Gernot Rohde, Martin Witzenrath, Frank Leypoldt, Rainer König, Mathias W Pletz and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Annals of clinical and translational neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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.

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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
  2. Neuropathologic Autopsy Findings in Pediatric Sepsis: A Two-Center, Retrospective Study.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2026
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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

12 authors at 5 institutions in 1 country.

Ha-Yeun ChungSection of Translational Neuroimmunology, Department of Neurology, Jena University Hospital, Jena, Germany.ORCID 0000-0002-6529-9176
Jonathan WickelSection of Translational Neuroimmunology, Department of Neurology, Jena University Hospital, Jena, Germany.ORCID 0000-0002-5854-3759
Marcus OswaldSystems Biology Research Group, Institute for Infectious Diseases and Infection Control (IIMK), Jena University Hospital, Jena, Germany.
Justina DargvainieneNeuroimmunology, Institute of Clinical Chemistry and Department of Neurology, UKSH Kiel/Lübeck, Kiel University, Kiel, Germany.
Jan RuppDepartment of Infectious Diseases and Microbiology, University Hospital Schleswig-Holstein, Lübeck, Germany.
Gernot RohdeCAPNETZ STIFTUNG, Hannover, Germany.
Martin WitzenrathCAPNETZ STIFTUNG, Hannover, Germany.
Frank LeypoldtNeuroimmunology, Institute of Clinical Chemistry and Department of Neurology, UKSH Kiel/Lübeck, Kiel University, Kiel, Germany.ORCID 0000-0002-8972-515X
Rainer KönigSystems Biology Research Group, Institute for Infectious Diseases and Infection Control (IIMK), Jena University Hospital, Jena, Germany.
Mathias W PletzCenter for Sepsis Control and Care, Jena University Hospital, Jena, Germany.
Christian GeisSection of Translational Neuroimmunology, Department of Neurology, Jena University Hospital, Jena, Germany.
CAPNETZ Study Group
Jena University Hospital · DEChristian-Albrechts-Universität zu Kiel · DECharité - Universitätsmedizin Berlin · DEGoethe University Frankfurt · DEUniversity Hospital Schleswig-Holstein · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSerum neurofilament light chain (sNfL) is a biomarker for neuroaxonal damage and has been found to be elevated in several neurological diseases with neuronal destruction. New onset of confusion is a hallmark of severity in infections. The objective of this study was to determine whether sNfL levels are increased in patients with community-acquired pneumonia (CAP) and if increased sNfL levels are associated with disease-associated confusion or disease severity.

methodsIn this observational study, sNfL levels were determined with single-molecule array technology in CAP patients of the CAPNETZ cohort with validated CRB (confusion, respiratory rate, and blood pressure)-65 score. We determined associations between log-transformed sNfL concentrations, well-defined clinical characteristics, and unfavorable outcome in multivariable analyses. Receiver operating characteristic (ROC) analysis was performed to assess the prediction accuracy of sNfL levels for confusion in CAP patients.

resultssNfL concentrations were evaluated in 150 CAP patients. Patients with confusion had higher sNfL levels as compared to non-confusion patients of comparable overall disease severity. ROC analysis of sNfL and confusion provided an area under the curve (AUC) of 0.73 (95% CI 0.62-0.82). Log-transformed sNfL levels were not associated with general disease severity. In a logistic regression analysis, log2-sNfL was identified as a strong predictor for an unfavorable outcome.

interpretationsNfL levels are specifically associated with confusion and not with pneumonia disease severity, thus reflecting a potential objective marker for encephalopathy in these patients. Furthermore, sNfL levels are also associated with unfavorable outcome in these patients and might help clinicians to identify patients at risk.

Indexed as

Brain DiseasesPneumoniaBiomarkersHumansIntermediate FilamentsROC CurveBiomarkers

Identifiers

PMID36479924
PMCPMC9930427
OpenAlexW4310944087

What OpenQuestion holds

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Registered trials

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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.