Evidence map›Paper›PMID 27546764›Full record

ArticleJournal of critical care2016

Individual-specific principal component analysis of circulating inflammatory mediators predicts early organ dysfunction in trauma patients.

Rami A Namas, Khalid Almahmoud, Qi Mi, Ali Ghuma, Rajaie Namas, Akram Zaaqoq, Xiaoguang Zhu, Othman Abdul-Malak, Jason Sperry, Ruben Zamora and 2 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of critical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03671746 (Inflammatory Response to Trauma - Does Early Cytokine Modulation Improve Patient Outcome), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.5field-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.

NCT03671746 phase1completednot on this mapstarted 2019, after this paper: background citation

Inflammatory Response to Trauma - Does Early Cytokine Modulation Improve Patient Outcome

TypeinterventionalSponsorArun AnejaRan2019 to 2023Enrolled70ConditionsPolytraumaArmsKetorolac, Saline Solution
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 60 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Predicting multiple organ failure after major orthopedic interventions is possible using only conventional laboratory tests.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  6. Article
  7. Monocyte derived large extracellular vesicles in polytrauma.Journal of extracellular biology · 2024
    Article
  8. Traumatic inflammatory response: pathophysiological role and clinical value of cytokines.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. What's next for computational systems biology?Frontiers in systems biology · 2023
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Central venous oxygen saturation/lactate ratio: a novel predictor of outcome following emergency open laparotomy.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2021
    Observational
  19. Article
  20. Article
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 1 institution in 1 country.

Rami A NamasDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213; Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219.
Khalid AlmahmoudDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213.
Qi MiDepartment of Sports Medicine and Nutrition, University of Pittsburgh, Pittsburgh, PA 15260.
Ali GhumaDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213.
Rajaie NamasDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213.
Akram ZaaqoqDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213.
Xiaoguang ZhuDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213.
Othman Abdul-MalakDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213.
Jason SperryDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213.
Ruben ZamoraDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213.
Timothy R BilliarDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213; Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219.
Yoram VodovotzDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA 15213; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213; Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219. Electronic address: vodovotzy@upmc.edu.
University of Pittsburgh · US

Funding

Regulation of Intestinal Mucosal Injury & Repair After Trauma/Hemorrhagic ShockP50GM053789 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BILLIAR, TIMOTHY R · 1997 to 2013
$18.0M
TRAINING IN TRAUMA AND SEPSIS RESEARCHT32GM008516 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TIMOTHY R BILLIAR · 1994 to 2026
$9.4M
NIGMS NIH HHS P50 GM053789NIGMS NIH HHS T32 GM008516
6 · The paper itself

Abstract

purposeWe hypothesized that early inflammation can drive, or impact, later multiple organ dysfunction syndrome (MODS), that patient-specific principal component analysis (PCA) of circulating inflammatory mediators could reveal conserved dynamic responses which would not be apparent from the unprocessed data, and that this computational approach could segregate trauma patients with regard to subsequent MODS.

methodsFrom a cohort of 472 blunt trauma survivors, 2 separate subcohorts of moderately/severely injured patients were studied. Multiple inflammatory mediators were assessed in serial blood samples in the first 24 hours postinjury. PCA of these time course data was used to derive patient-specific "inflammation barcodes," followed by hierarchical clustering to define patient subgroups. To define the generalizability of this approach, 2 different but overlapping Luminex kits were used.

resultsPCA/hierarchical clustering of 24-hour Luminex data segregated the patients into 2 groups that differed significantly in their Marshall multiple organ dysfunction score on subsequent days, independently of the specific set of inflammatory mediators analyzed. Multiple inflammatory mediators and their dynamic networks were significantly different in the 2 groups in both patient cohorts, demonstrating that the groups were defined based on "core" early responses exhibit truly different dynamic inflammatory trajectories.

conclusionIdentification of patient-specific "core responses" can lead to early segregation of diverse trauma patients with regard to later MODS. Hence, we suggest that a focus on dynamic inflammatory networks rather than individual biomarkers is warranted.

Indexed as

Accidental FallsAccidents, TrafficAdultBiomarkersCluster AnalysisCytokinesFemaleHumansInflammationInflammation MediatorsInjury Severity ScoreLength of StayMaleMiddle AgedMultiple Organ FailurePrincipal Component AnalysisBiomarkersCytokinesInflammation MediatorsBlunt traumaDynamic network analysisInflammation biomarkersMultiple organ dysfunction syndromePrincipal component analysisSystemic inflammatory response

Identifiers

PMID27546764
PMCPMC5097026
OpenAlexW2465411673

What OpenQuestion holds

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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.