Evidence map›Paper›PMID 38974221›Full record

ArticleTrauma surgery & acute care open2024

Using microfluidic shear to assess transfusion requirements in trauma patients.

Leslie H Vuoncino, Anamaria J Robles, Ashli C Barnes, James T Ross, Leonardo W Graeff, Taylor L Anway, Nico T Vincent, Nithya Tippireddy, Kimi M Tanaka, Randi J Mays and 1 more

Abstract read
In one paragraph

Article in Trauma surgery & acute care open, 2024. 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
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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

11 authors.

Leslie H VuoncinoDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.ORCID 0009-0002-4522-8853
Anamaria J RoblesDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.
Ashli C BarnesDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.
James T RossDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.
Leonardo W GraeffDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.
Taylor L AnwayDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.
Nico T VincentDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.
Nithya TippireddyDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.
Kimi M TanakaDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.
Randi J MaysDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.
Rachael A CallcutDepartment of Surgery, University of California Davis School of Medicine, Sacramento, California, USA.

Funding

R01 Administrative Supplement for AI Prediction of Trauma Resuscitation ResponsivenessR01HL149670 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALLCUT, RACHAEL A · 2020 to 2024
$4.6M
NHLBI NIH HHS R01 HL149670
6 · The paper itself

Abstract

Background: Viscoelastic assays have widely been used for evaluating coagulopathies but lack the addition of shear stress important to Methods: Blood samples were collected on adult trauma patients from a single-institution prospective cohort study of high-level activations. Patient and injury characteristics, transfusion data, and outcomes were collected. Thromboelastography, coagulation studies, and Stasys assays were run on paired samples collected at admission. Stasys CA and PCFs were quantified as area under the curve calculations and maximum values. Normal ranges for Stasys assays were determined using healthy donors. Data were compared using Kruskal-Wallis tests and simple linear regression. Results: From March 2021 to January 2023, 108 samples were obtained. Median age was 37.5 (IQR 27.5-52) years; patients were 77% male. 71% suffered blunt trauma, 26% had an Injury Severity Score of ≥25. An elevated international normalized ratio significantly correlated with decreased cumulative PCF (p=0.05), maximum PCF (p=0.05) and CA (p=0.02). Lower cumulative PCF significantly correlated with transfusion of any products at 6 and 24 hours (p=0.04 and p=0.05) as well as packed red blood cells (pRBCs) at 6 and 24 hours (p=0.04 and p=0.03). A decreased maximum PCF showed significant correlation with receiving any transfusion at 6 (p=0.04) and 24 hours (p=0.02) as well as transfusion of pRBCs, fresh frozen plasma, and platelets in the first 6 hours (p=0.03, p=0.03, p=0.03, respectively). Conclusions: Assessing coagulopathy in real time remains challenging in trauma patients. In this pilot study, we demonstrated that microfluidic approaches incorporating shear stress could predict transfusion requirements at time of admission as well as requirements in the first 24 hours. Level of evidence: Level II.

Indexed as

Blood coagulationblood coagulation testsblood transfusionInflammation

Identifiers

PMID38974221
PMCPMC11227844

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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.