Evidence map›Paper›PMID 38867000›Full record

ArticleCommunications medicine2024

Digital twin mathematical models suggest individualized hemorrhagic shock resuscitation strategies.

Jeremy W Cannon, Danielle S Gruen, Ruben Zamora, Noah Brostoff, Kelly Hurst, John H Harn, Fayten El-Dehaibi, Zhi Geng, Rami Namas, Jason L Sperry and 13 more

Abstract read
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

23 authors.

Jeremy W CannonDivision of Traumatology, Surgical Critical Care & Emergency Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA. jeremy.cannon@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-2969-9316
Danielle S GruenDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA, 15213, USA.ORCID http://orcid.org/0000-0003-1019-4390
Ruben ZamoraDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Noah BrostoffImmunetrics, now wholly owned by Simulations Plus, Pittsburgh, PA, 15219, USA.
Kelly HurstImmunetrics, now wholly owned by Simulations Plus, Pittsburgh, PA, 15219, USA.
John H HarnImmunetrics, now wholly owned by Simulations Plus, Pittsburgh, PA, 15219, USA.
Fayten El-DehaibiDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Zhi GengDivision of Traumatology, Surgical Critical Care & Emergency Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Rami NamasDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Jason L SperryDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
John B HolcombDepartment of Surgery, University of Alabama, Birmingham, AL, 35233, USA.
Bryan A CottonDivision of Acute Care Surgery, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Jason J NamDepartment of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA.
Samantha UnderwoodDivision of Trauma, Critical Care and Acute Care Surgery, Oregon Health & Science University, Portland, OR, 97239, USA.ORCID http://orcid.org/0000-0001-8565-1846
Martin A SchreiberDivision of Trauma, Critical Care and Acute Care Surgery, Oregon Health & Science University, Portland, OR, 97239, USA.
Kevin K ChungSeaStar Medical, Denver, CO, 80216, USA.
Andriy I BatchinskyAutonomous Reanimation and Evacuation (AREVA) Research and Innovation Center, San Antonio, TX, 78235, USA.ORCID http://orcid.org/0000-0001-8601-2827
Leopoldo C CancioUS Army Institute of Surgical Research, Fort Sam Houston, TX, 78234, USA.
Andrew J BenjaminTrauma and Acute Care Surgery, Department of Surgery, The University of Chicago, Chicago, IL, 60637, USA.
Erin E FoxDivision of Acute Care Surgery, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Steven C ChangImmunetrics, now wholly owned by Simulations Plus, Pittsburgh, PA, 15219, USA.
Andrew P CapDepartment of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA.
Yoram VodovotzDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA, 15213, USA.ORCID http://orcid.org/0000-0002-4389-8768

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 GM008516United States Department of Defense | United States Army | Army Medical Command | Telemedicine and Advanced Technology Research Center (Telemedicine & Advanced Technology Research Center) FY14_AMEDD_AAMTI_3828U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER) 5T32GM008516-25U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER) P50-GM-53789
6 · The paper itself

Abstract

backgroundOptimizing resuscitation to reduce inflammation and organ dysfunction following human trauma-associated hemorrhagic shock is a major clinical hurdle. This is limited by the short duration of pre-clinical studies and the sparsity of early data in the clinical setting.

methodsWe sought to bridge this gap by linking preclinical data in a porcine model with clinical data from patients from the Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) study via a three-compartment ordinary differential equation model of inflammation and coagulation.

resultsThe mathematical model accurately predicts physiologic, inflammatory, and laboratory measures in both the porcine model and patients, as well as the outcome and time of death in the PROMMTT cohort. Model simulation suggests that resuscitation with plasma and red blood cells outperformed resuscitation with crystalloid or plasma alone, and that earlier plasma resuscitation reduced injury severity and increased survival time.

conclusionsThis workflow may serve as a translational bridge from pre-clinical to clinical studies in trauma-associated hemorrhagic shock and other complex disease settings.

Identifiers

PMID38867000
PMCPMC11169363

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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.