Evidence map›Paper›PMID 26607226›Full record

ArticleCritical care (London, England)2015

Improvement of prognostic performance in severely injured patients by integrated clinico-transcriptomics: a translational approach.

Daniel Rittirsch, Veit Schoenborn, Sandro Lindig, Elisabeth Wanner, Kai Sprengel, Sebastian Günkel, Barbara Schaarschmidt, Sonja Märsmann, Hans-Peter Simmen, Paolo Cinelli and 3 more

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2015. 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
1.5field-weighted citation impact, top 17% 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, 24 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

13 authors at 3 institutions in 2 countries.

Daniel RittirschDivision of Trauma Surgery, Department of Surgery, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. daniel.rittirsch@usz.ch.
Veit SchoenbornDivision of Trauma Surgery, Department of Surgery, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. veitschoenborn@googlemail.com.
Sandro LindigDepartment of Anaesthesiology and Intensive Care Therapy, Jena University Hospital, Erlanger Allee 101, D-07747, Jena, Germany. sandro.lindig@med.uni-jena.de.
Elisabeth WannerDivision of Trauma Surgery, Department of Surgery, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. elisabeth.wanner@usz.ch.
Kai SprengelDivision of Trauma Surgery, Department of Surgery, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. kai.sprengel@usz.ch.
Sebastian GünkelDivision of Trauma Surgery, Department of Surgery, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. sebguenkel@web.de.
Barbara SchaarschmidtDepartment of Anaesthesiology and Intensive Care Therapy, Jena University Hospital, Erlanger Allee 101, D-07747, Jena, Germany. barbara.schaarschmidt@med.uni-jena.de.
Sonja MärsmannDivision of Trauma Surgery, Department of Surgery, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. albers.sonja@web.de.
Hans-Peter SimmenDivision of Trauma Surgery, Department of Surgery, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. hanspeter.simmen@usz.ch.
Paolo CinelliDivision of Trauma Surgery, Department of Surgery, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. paolo.cinelli@usz.ch.
Michael BauerDepartment of Anaesthesiology and Intensive Care Therapy, Jena University Hospital, Erlanger Allee 101, D-07747, Jena, Germany. michael.bauer@med.uni-jena.de.
Ralf A ClausDepartment of Anaesthesiology and Intensive Care Therapy, Jena University Hospital, Erlanger Allee 101, D-07747, Jena, Germany. ralf.claus@med.uni-jena.de.
Guido A WannerDivision of Trauma Surgery, Department of Surgery, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. guido.wanner@usz.ch.
University of Zurich · CHJena University Hospital · DEUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSevere trauma triggers a systemic inflammatory response that contributes to secondary complications, such as nosocomial infections, sepsis or multi-organ failure. The present study was aimed to identify markers predicting complications and an adverse outcome of severely injured patients by an integrated clinico-transcriptomic approach.

methodsIn a prospective study, RNA samples from circulating leukocytes from severely injured patients (injury severity score ≥ 17 points; n = 104) admitted to a Level I Trauma Center were analyzed for dynamic changes in gene expression over a period of 21 days by quantitative RT-PCR. Transcriptomic candidates were selected based on whole genome screening of a representative discovery set (n = 10 patients) or known mechanisms of the immune response, including mediators of inflammation (IL-8, IL-10, TNF-α, MIF, C5, CD59, SPHK1), danger signaling (HMGB1, TLR2, CD14, IL-33, IL-1RL1), and components of the heme degradation pathway (HP, CD163, HMOX1, BLVRA, BLVRB). Clinical markers comprised standard physiological and laboratory parameters and scoring systems routinely determined in trauma patients.

resultsLeukocytes, thrombocytes and the expression of sphingosine kinase-1 (SPHK1), complement C5, and haptoglobin (HP) have been identified as markers with the best performance. Leukocytes showed a biphasic course with peaks on day 0 and day 11 after trauma, and patients with sepsis exhibited significantly higher leukocyte levels. Thrombocyte numbers showed a typical profile with initial thrombopenia and robust thrombocytosis in week 3 after trauma, ranging 2- to 3-fold above the upper normal value. 'Relative thrombocytopenia' was associated with multi-organ dysfunction, the development of sepsis, and mortality, the latter of which could be predicted within 3 days prior to the time point of death. SPHK1 expression at the day of admission indicated mortality with excellent performance. C5-expression on day 1 after trauma correlated with an increased risk for the development of nosocomial infections during the later course, while HP was found to be a marker for the development of sepsis.

conclusionsThe combination of clinical and transcriptomic markers improves the prognostic performance and may represent a useful tool for individual risk stratification in trauma patients.

Indexed as

BiomarkersComplement C5HaptoglobinsHumansInjury Severity ScoreMultiple Organ FailurePhosphotransferases (Alcohol Group Acceptor)Prospective StudiesRisk AssessmentSepsisSphingosine KinaseSystemic Inflammatory Response SyndromeBiomarkersComplement C5HaptoglobinsPhosphotransferases (Alcohol Group Acceptor)Sphingosine Kinase

Identifiers

PMID26607226
PMCPMC4660831
OpenAlexW2173498820

What OpenQuestion holds

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LicenceCC BY
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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.