Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Predicting significant torso trauma.

Ram Nirula1, Daniel Talmor, Karen Brasel

  • 1Division of Trauma/Critical Care, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.

The Journal of Trauma
|August 13, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impact of high versus low fraction of inspired oxygen for anaesthetic washout and extubation on postoperative pulmonary atelectasis formation and oxygenation: a randomised controlled trial.

British journal of anaesthesia·2026
Same author

The Path to Independence: Progression in Entrustment Reflected in Entrustable Professional Activity Ratings.

Annals of surgery·2026
Same author

Reverse Triggering With and Without Breath Stacking During Pressure-Controlled Ventilation: Exposure Burden and Associations With Ventilation Outcomes.

Respiratory care·2026
Same author

Primary language other than English and the risk of delirium after surgery in an English-speaking hospital: a retrospective cohort study<sup>✰</sup>.

British journal of anaesthesia·2026
Same author

Effects of inflammatory phenotypes in acute respiratory distress syndrome on mortality and partitioning of lung and chest wall mechanics in patients in the USA and Canada: a retrospective cohort study.

The Lancet. Respiratory medicine·2026
Same author

Driving pressure and postoperative ARDS: an intraoperative silent alarm? Author's reply.

Intensive care medicine·2026
Same journal

Article.

The Journal of trauma·2014
Same journal

Article.

The Journal of trauma·2014
Same journal

Program schedule for the sixty-fifth annual meeting of the american association for the surgery of trauma.

The Journal of trauma·2014
Same journal

Letters to the editor.

The Journal of trauma·2014
Same journal

Posttraumatic brachial plexitis.

The Journal of trauma·2011
Same journal

Incidental findings in focused assessment with sonography for trauma in hemodynamically stable blunt trauma patients: speaking about cost to benefit.

The Journal of trauma·2011
See all related articles

This study developed a thoracoabdominal injury probability model using motor vehicle crash (MVC) data. The model enhances automatic crash notification systems (ACNS) for improved patient triage and response.

Area of Science:

  • Trauma research
  • Automotive safety engineering
  • Injury biomechanics

Background:

  • Motor vehicle crash (MVC) characteristics linked to thoracoabdominal injury are crucial for advancing automatic crash notification systems (ACNS).
  • Improved triage and response times depend on accurate injury prediction.

Purpose of the Study:

  • To identify motor vehicle crash characteristics associated with thoracoabdominal trauma.
  • To develop a predictive model for torso injury probability.

Main Methods:

  • Analysis of 56,466 drivers from the National Automotive Sampling System (1993-2001).
  • Multivariate logistic regression to assess relationships between MVC characteristics and torso injury.
  • Comparison of the developed model with existing ACNS models using receiver operating characteristic curves.

Related Experiment Videos

Main Results:

  • Key MVC factors associated with thoracoabdominal injury include age, ejection, braking, avoidance maneuvers, impact velocity, restraint use, passenger-side impact, rollover events, and vehicle characteristics (weight, type).
  • The developed thoracoabdominal injury probability model demonstrated superior performance (AUC=83.9) compared to current ACNS models.

Conclusions:

  • A novel thoracoabdominal injury probability model has been developed.
  • This model has the potential to significantly improve patient triage when integrated with ACNS.