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

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

175
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
175

You might also read

Related Articles

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

Sort by
Same author

Neural representations of popularity and leadership status relate to conformity in daily life.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Modeling the Decay in Probability of Receiving Endovascular Thrombectomy on the Basis of Time From Stroke Onset.

Stroke (Hoboken, N.J.)·2026
Same author

Untangling Sampling Bias From Lemur Dietary Specialization.

Ecology and evolution·2026
Same author

Point Process Analysis of Two Alternating Physiological Events: Application to Movement Bouts of Preterm Infants.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Tracking Limb Movement in Preterm Infants Using an Inertial Measurement Bracelet.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Identifying Social-Epidemiological Roles Associated with Viral Exposure Using Regular Equivalence Blockmodeling.

medRxiv : the preprint server for health sciences·2025

Related Experiment Video

Updated: Oct 23, 2025

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

17.4K

Optimizing Emergency Stroke Transport Strategies Using Physiological Models.

Daniel A Paydarfar1, David Paydarfar2, Peter J Mucha1

  • 1Carolina Center for Interdisciplinary Applied Mathematics, Department of Mathematics (D.A.P., P.J.M.), University of North Carolina, Chapel Hill.

Stroke
|August 19, 2021
PubMed
Summary
This summary is machine-generated.

A new mathematical model for emergency stroke care transport shows mothership transport is often better in urban areas, while drip and ship may be preferred in some rural locations. This helps optimize patient outcomes.

Keywords:
collateral circulationgeographyphysiologythrombectomy

More Related Videos

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.2K
A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia
06:01

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia

Published on: August 18, 2015

15.1K

Related Experiment Videos

Last Updated: Oct 23, 2025

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

17.4K
Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.2K
A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia
06:01

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia

Published on: August 18, 2015

15.1K

Area of Science:

  • Neurology
  • Biomedical Engineering
  • Emergency Medicine

Background:

  • The optimal transport strategy for emergency stroke care, between direct hospital transport (drip and ship) and bypassing to a comprehensive stroke center (mothership), is debated.
  • Existing models inform transport decisions at an epidemiological level, but lack patient-specific physiological insights.
  • Patient characteristics influencing infarct core growth are critical for optimizing transport decisions.

Purpose of the Study:

  • To develop a novel mathematical, physiologically derived framework for emergency stroke care transport decisions.
  • To analyze how patient characteristics, specifically infarct core growth, influence the choice between drip and ship and mothership strategies.
  • To provide a framework for understanding and informing regional bypass policies in stroke care.

Main Methods:

  • Modeled time-dependent infarct core growth using an exponential function based on collateral blood flow.
  • Employed Monte Carlo simulations to generate infarct core volume distributions and predict 90-day modified Rankin Scale scores.
  • Applied the model to simulated transport strategies in rural Bastrop County and urban Travis County, using statistical tests (Kolmogorov-Smirnov, Student's t-test) to compare outcomes.

Main Results:

  • In urban Travis County, mothership transport was statistically superior in 59.8% of simulated pickup locations, while drip and ship was favored in 24.0%.
  • In rural Bastrop County, drip and ship was favored in 11.3% of locations, and mothership in only 7.1%.
  • The study identified how infarct growth rates, bypass policies, and large vessel occlusion field tests impact transport strategy effectiveness.

Conclusions:

  • Physiologically-based modeling provides clinically relevant metrics for comparing stroke transport strategies (drip and ship vs. mothership) within specific geographic areas.
  • This framework can inform emergency medical service transport decision-making and regional bypass policies for stroke patients.
  • Optimizing transport strategies based on modeled physiology can improve patient outcomes in emergency stroke care.