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 Concept Videos

Survival Tree01:19

Survival Tree

464
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
464
Flail Chest-II01:26

Flail Chest-II

848
Managing flail chest, a condition characterized by a segment of the chest wall moving independently from the rest of the thoracic cage, requires a comprehensive approach. It includes a thorough assessment of the patient's condition, a diagnostic evaluation to determine the extent of the injury, and the implementation of appropriate medical interventions tailored to the individual's needs.
Assessment:
1. Clinical Evaluation:
History:
848
Cardiopulmonary Resuscitation IV: Pharmacological Management01:25

Cardiopulmonary Resuscitation IV: Pharmacological Management

1.2K
Pharmacologic intervention is crucial in treating cardiac arrest patients during ACLS or Advanced Cardiovascular Life Support. The ACLS algorithms guide the administration of specific drugs based on the patient's cardiac arrest rhythm, which includes pulseless ventricular tachycardia (VT), ventricular fibrillation (VF), asystole, and pulseless electrical activity (PEA).EpinephrineIndication: Epinephrine is the first-line drug for all cardiac arrest rhythms.Mechanism of Action: Epinephrine...
1.2K
Acute Coronary Syndrome IV: Interprofessional Care01:28

Acute Coronary Syndrome IV: Interprofessional Care

431
IntroductionThe management of Acute Coronary Syndrome (ACS) aims to minimize myocardial damage, preserve myocardial function, and prevent complications.Initial ManagementInpatient management involves continuous cardiac monitoring, preferably in an ICU, focusing on blood pressure, serum sodium, potassium, and creatinine levels, and urine output. Ongoing pharmacologic management is crucial for stabilizing the patient.Supplemental Oxygen: Administer supplemental oxygen if oxygen saturation is...
431

You might also read

Related Articles

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

Sort by
Same author

Resilience of lung grafts to warm ischemia: assessment by <i>ex vivo</i> perfusion using functional and molecular analysis.

Transplant international : official journal of the European Society for Organ Transplantation·2026
Same author

Characteristics of sudden cardiac arrest during endurance racing: a decade of the Paris registry.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2026
Same author

Cost-effectiveness of vasopressin in the treatment of septic shock: insights from a European societal perspective.

Journal of medical economics·2026
Same author

Driving pressure and transpulmonary pressure: understanding the difference.

Intensive care medicine·2026
Same author

Impact of continuing renin-angiotensin-aldosterone system inhibitors before surgery on intraoperative hypotensive events: a secondary analysis of the STOP-or-NOT Trial.

British journal of anaesthesia·2026
Same author

Checking methodology and statistics when reading an observational study.

Intensive care medicine·2026

Related Experiment Video

Updated: Mar 21, 2026

Prehospital Thrombolysis: A Manual from Berlin
05:52

Prehospital Thrombolysis: A Manual from Berlin

Published on: November 26, 2013

22.5K

Tree-based algorithm for prehospital triage of polytrauma patients.

Arnaud Follin1, Sébastien Jacqmin1, Vibol Chhor1

  • 1Service d'Anesthésie-Réanimation, Hôpital Européen Georges Pompidou, Université Paris 5 Descartes, Sorbonne Paris Cite, Paris, France.

Injury
|May 11, 2016
PubMed
Summary

A new decision tree algorithm accurately predicts the need for specialized trauma care, optimizing resource allocation and improving patient triage by outperforming existing scores.

Keywords:
Decision treePolytraumaRecursive partitioningTrauma careTriage

More Related Videos

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

18.0K
Integrated Compensatory Responses in a Human Model of Hemorrhage
07:57

Integrated Compensatory Responses in a Human Model of Hemorrhage

Published on: November 20, 2016

13.2K

Related Experiment Videos

Last Updated: Mar 21, 2026

Prehospital Thrombolysis: A Manual from Berlin
05:52

Prehospital Thrombolysis: A Manual from Berlin

Published on: November 26, 2013

22.5K
Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

18.0K
Integrated Compensatory Responses in a Human Model of Hemorrhage
07:57

Integrated Compensatory Responses in a Human Model of Hemorrhage

Published on: November 20, 2016

13.2K

Area of Science:

  • Emergency Medicine
  • Trauma Surgery
  • Clinical Decision Support

Background:

  • Effective resource allocation in polytrauma is critical to minimize over- and undertriage.
  • Current polytrauma definitions necessitate improvement for accurate prediction of specialized care needs.

Purpose of the Study:

  • To develop and validate a novel definition for polytrauma.
  • To create a predictive model for identifying patients requiring specialized trauma care.

Main Methods:

  • Prospective, observational study in a Paris trauma center.
  • Recursive partitioning decision trees used for modeling.
  • Model performance evaluated against the MGAP score.

Main Results:

  • 1160 patients analyzed; 41% required specialized trauma care.
  • Decision tree achieved an AUC of 0.82, outperforming MGAP.
  • Optimal rule: 94% sensitivity, 48% specificity.

Conclusions:

  • A tree-based algorithm offers a reliable alternative for predicting specialized trauma care needs.
  • The developed model enhances clinical decision-making in trauma patient management.