Evidence map›Paper›PMID 38985805›Full record

ArticlePloS one2024

Trauma patients have reduced ex vivo flow-dependent platelet hemostatic capacity in a microfluidic model of vessel injury.

Kimberly A Thomas, Rassam M G Rassam, Ronit Kar, Devin M Dishong, Katelin C Rahn, Ricardo Fonseca, Melissa Canas, Jose Aldana, Hussain Afzal, Kelly Bochicchio and 4 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Beyond the count: platelet dysfunction profile in pediatric trauma patients.Research and practice in thrombosis and haemostasis · 2025
    Article
  4. Article
  5. Article
  6. Review
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

14 authors.

Kimberly A ThomasVitalant Research Institute, Denver, Colorado, United States of America.ORCID 0000-0001-8152-9974
Rassam M G RassamTrauma and Transfusion Medicine Research Center (TTMRC), Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Ronit KarTrauma and Transfusion Medicine Research Center (TTMRC), Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Devin M DishongTrauma and Transfusion Medicine Research Center (TTMRC), Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Katelin C RahnTrauma and Transfusion Medicine Research Center (TTMRC), Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Ricardo FonsecaDepartment of Surgery, Washington University in St. Louis, St. Louis, Missouri, United States of America.ORCID 0000-0003-2363-1270
Melissa CanasDepartment of Surgery, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Jose AldanaDepartment of Surgery, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Hussain AfzalDepartment of Surgery, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Kelly BochicchioDepartment of Surgery, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Matthew D NealTrauma and Transfusion Medicine Research Center (TTMRC), Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Grant V BochicchioDepartment of Surgery, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Philip C SpinellaTrauma and Transfusion Medicine Research Center (TTMRC), Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Susan M SheaTrauma and Transfusion Medicine Research Center (TTMRC), Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0003-3756-2747

Funding

Mechanistic Elucidation and Targeted Therapy of Platelet Dysfunction After TraumaR35GM119526 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEAL, MATTHEW D · 2016 to 2025
$3.9M
Using Microfluidics to Identify Mechanisms of Platelet Dysfunction and Assess Therapeutic Efficacy in Traumatic HemorrhageK25HL161401 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Susan Marguerite Shea · 2022 to 2026
$643k
NHLBI NIH HHS K25 HL161401NIGMS NIH HHS R35 GM119526
6 · The paper itself

Abstract

Trauma is the leading cause of death in individuals up to 45 years of age. Alterations in platelet function are a critical component of trauma-induced coagulopathy (TIC), yet these changes and the potential resulting dysfunction is incompletely understood. The lack of clinical assays available to explore platelet function in this patient population has hindered detailed understanding of the role of platelets in TIC. The objective of this study was to assess trauma patient ex vivo flow-dependent platelet hemostatic capacity in a microfluidic model. We hypothesized that trauma patients would have flow-regime dependent alterations in platelet function. Blood was collected from trauma patients with level I activations (N = 34) within 60 min of hospital arrival, as well as healthy volunteer controls (N = 10). Samples were perfused through a microfluidic model of injury at venous and arterial shear rates, and a subset of experiments were performed after incubation with fluorescent anti-CD41 to quantify platelets. Complete blood counts were performed as well as plasma-based assays to quantify coagulation times, fibrinogen, and von Willebrand factor (VWF). Exploratory correlation analyses were employed to identify relationships with microfluidic hemostatic parameters. Trauma patients had increased microfluidic bleeding times compared to healthy controls. While trauma patient samples were able to deposit a substantial amount of clot in the model injury site, the platelet contribution to microfluidic hemostasis was attenuated. Trauma patients had largely normal hematology and plasma-based coagulation times, yet had elevated D-Dimer and VWF. Venous microfluidic bleeding time negatively correlated with VWF, D-Dimer, and mean platelet volume (MPV), while arterial microfluidic bleeding time positively correlated with oxygenation. Arterial clot growth rate negatively correlated with red cell count, and positively with mean corpuscular volume (MCV). We observed changes in clot composition in trauma patient samples reflected by significantly diminished platelet contribution, which resulted in reduced hemostatic function in a microfluidic model of vessel injury. We observed a reduction in platelet clot contribution under both venous and arterial flow ex vivo in trauma patient samples. While our population was heterogenous and had relatively mild injury severity, microfluidic hemostatic parameters correlated with different patient-specific data depending on the flow setting, indicating potentially differential mechanistic pathways contributing to platelet hemostatic capacity in the context of TIC. These data were generated with the goal of identifying key features of platelet dysfunction in bleeding trauma patients under conditions of flow and to determine if these features correlate with clinically available metrics, thus providing preliminary surrogate markers of physiological platelet dysfunction to be further studied across larger cohorts. Future studies will continue to explore those relationships and further define mechanisms of TIC and their relationship with patient outcomes.

Indexed as

Blood PlateletsHemostasisMicrofluidicsWounds and InjuriesAdultBleeding TimeBlood Coagulation DisordersCase-Control StudiesFemaleFibrinogenHumansMaleMiddle Agedvon Willebrand FactorFibrinogenvon Willebrand Factor

Identifiers

PMID38985805
PMCPMC11236159

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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.