Evidence map›Paper›PMID 34079942›Full record

ArticleCritical care explorations2021

Leukocyte Activation Profile Assessed by Raman Spectroscopy Helps Diagnosing Infection and Sepsis.

Anuradha Ramoji, Daniel Thomas-Rüddel, Oleg Ryabchykov, Michael Bauer, Natalie Arend, Evangelos J Giamarellos-Bourboulis, Jesper Eugen-Olsen, Michael Kiehntopf, Thomas Bocklitz, Jürgen Popp and 2 more

Open access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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 4 institutions in 3 countries.

Anuradha RamojiCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Daniel Thomas-RüddelCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Oleg RyabchykovLeibniz Institute of Photonic Technology Jena, (Leibniz-IPHT), Member of Leibniz Research Alliance 'Health Technologies', Jena, Germany.
Michael BauerCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Natalie ArendCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Evangelos J Giamarellos-Bourboulis4th Department of Internal Medicine, National and Kapodistrian University of Athens, Medical School, Athens, Greece.
Jesper Eugen-OlsenClinical Research Centre, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.
Michael KiehntopfCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Thomas BocklitzLeibniz Institute of Photonic Technology Jena, (Leibniz-IPHT), Member of Leibniz Research Alliance 'Health Technologies', Jena, Germany.
Jürgen PoppCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Frank BloosCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Ute NeugebauerCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Jena University Hospital · DEFriedrich Schiller University Jena · DECopenhagen University Hospital · DKNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLeukocytes are first responders to infection. Their activation state can reveal information about specific host immune response and identify dysregulation in sepsis. This study aims to use the Raman spectroscopic fingerprints of blood-derived leukocytes to differentiate inflammation, infection, and sepsis in hospitalized patients. Diagnostic sensitivity and specificity shall demonstrate the added value of the direct characterization of leukocyte's phenotype.

designProspective nonrandomized, single-center, observational phase-II study (DRKS00006265).

settingJena University Hospital, Germany. PATIENTS: Sixty-one hospitalized patients (19 with sterile inflammation, 23 with infection without organ dysfunction, 18 with sepsis according to Sepsis-3 definition).

interventionsNone (blood withdrawal). MEASUREMENTS AND MAIN

resultsIndividual peripheral blood leukocytes were characterized by Raman spectroscopy. Reference diagnostics included established clinical scores, blood count, and biomarkers (C-reactive protein, procalcitonin and interleukin-6). Binary classification models using Raman data were able to distinguish patients with infection from patients without infection, as well as sepsis patients from patients without sepsis, with accuracies achieved with established biomarkers. Compared with biomarker information alone, an increase of 10% (to 93%) accuracy for the detection of infection and an increase of 18% (to 92%) for detection of sepsis were reached by adding the Raman information. Leukocytes from sepsis patients showed different Raman spectral features in comparison to the patients with infection that point to the special immune phenotype of sepsis patients.

conclusionsRaman spectroscopy can extract information on leukocyte's activation state in a nondestructive, label-free manner to differentiate sterile inflammation, infection, and sepsis.

Indexed as

biomarkerimmune responseinfection and inflammationleukocytes activationRaman spectroscopysepsis diagnosis

Identifiers

PMID34079942
PMCPMC8162546
OpenAlexW3162919938

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.