Evidence map›Paper›PMID 39847718›Full record

ArticleShock (Augusta, Ga.)2025

DYSREGULATED CLOT MECHANICS AND KINETICS IMPACTED BY INJURY SEVERITY, PREDICT MORTALITY AFTER TRAUMA.

Andrew R Gosselin, Christopher G Bargoud, Abhishek Sawalkar, Shane Mathew, Ashley Toussaint, Matthew Greenen, Susette M Coyle, Marie Macor, Anandi Krishnan, Julie Goswami and 2 more

Abstract read
In one paragraph

Article in Shock (Augusta, Ga.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Andrew R GosselinDepartment of Biomedical Engineering, Rutgers University, Piscataway, New Jersey.
Christopher G BargoudDepartment of Surgery, Division of Acute Care Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Abhishek SawalkarDepartment of Computer Science, Rutgers University, Piscataway, New Jersey.
Shane MathewDepartment of Surgery, Division of Acute Care Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Ashley ToussaintDepartment of Surgery, Division of Acute Care Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Matthew GreenenDepartment of Biomedical Engineering, Rutgers University, Piscataway, New Jersey.
Susette M CoyleDepartment of Surgery, Division of Acute Care Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Marie MacorDepartment of Surgery, Division of Acute Care Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Anandi Krishnan
Joseph S Hanna
Valerie TutwilerDepartment of Biomedical Engineering, Rutgers University, Piscataway, New Jersey.

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Rutgers Biotechnology Training ProgramT32GM135141 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI ANN M. STOCK, Martin L Yarmush · 2020 to 2026
$3.5M
MIRA R35: Fibrin(ogen) in regulating health and diseaseR35GM155242 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI Valerie Tutwiler · 2024 to 2026
$1.2M
Integrated Clinical and Transcriptomic Profiling to Characterize Disease PhenotypeK08HG010061 · NHGRI · STANFORD UNIVERSITY · PI KRISHNAN, ANANDI · 2018 to 2022
$955k
Systematic multidisciplinary approach to study traumatic bleeding as a complex structural and biomechanical problemR00HL148646 · NHLBI · RUTGERS, THE STATE UNIV OF N.J. · PI TUTWILER, VALERIE · 2020 to 2022
$747k
NCATS NIH HHS UL1 TR001085NHGRI NIH HHS K08 HG010061NHLBI NIH HHS R00 HL148646NIGMS NIH HHS R35 GM155242NIGMS NIH HHS T32 GM135141
6 · The paper itself

Abstract

abstractIntroduction: Coagulopathy following traumatic injury impairs stable blood clot formation and exacerbates mortality from hemorrhage. Understanding how these alterations impact blood clot stability is critical to improving resuscitation. Furthermore, the incorporation of machine learning algorithms to assess clinical markers, coagulation assays, and biochemical assays allows us to define the contributions of these factors to mortality. In this study, we aimed to quantify changes in clot formation and mechanics after traumatic injury and their correlation to mortality. Materials and Methods: Plasma was isolated from injured patients upon arrival to the emergency department prior to blood product administration, or procedural intervention. Coagulation kinetics and mechanics of healthy donors and patient plasma were compared with rheological, turbidity and thrombin generation assays. ELISA's were performed to determine tissue plasminogen activator and D-dimer concentration. Recursive elimination with random forest models were used to assess the predictive strength of clinical and laboratory factors. Results: Sixty-three patients were included in the study. Median injury severity score was 17, median age was 38 years, and mortality was 30%. Trauma patients exhibited reduced clot stiffness, increased fibrinolysis, and reduced thrombin generation compared to healthy donors. Deceased patients exhibited the greatest deviation from healthy levels. Fibrinogen, clot stiffness, D-dimer, and tissue plasminogen activator all demonstrated significant correlation to injury severity score. Machine-learning algorithms identified the importance of coagulation kinetics and clot structure on patient outcomes. Conclusions: Rheological markers of coagulopathy and biochemical factors are associated with injury severity and are highly predictive of mortality after trauma, providing evidence for integrated predictive models and therapeutic strategies.

Indexed as

Blood CoagulationBlood Coagulation DisordersWounds and InjuriesAdultFemaleFibrin Fibrinogen Degradation ProductsFibrinolysisHumansInjury Severity ScoreKineticsMachine LearningMaleMiddle AgedThrombinYoung AdultFibrin Fibrinogen Degradation Productsfibrin fragment DThrombin

Identifiers

PMID39847718
PMCPMC12068892

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.