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

Regulation of Stroke Volume01:27

Regulation of Stroke Volume

4.6K
The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
4.6K
Cardiac Output II: Effect of Stroke Volume on Cardiac Output01:22

Cardiac Output II: Effect of Stroke Volume on Cardiac Output

2.9K
Cardiac output (CO), the amount of blood the heart pumps per minute, is a parameter in cardiovascular physiology determined by stroke volume and heart rate. Stroke volume, the amount of blood pushed from one of the ventricles per heartbeat, is influenced by preload, afterload, and contractility.
Preload
Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
2.9K
Pathophysiology of Cardiac Performance01:29

Pathophysiology of Cardiac Performance

1.3K
Typical heart performance is influenced by heart rate, rhythm, myocardial contraction, and metabolism or blood flow. The cardiac muscle exhibits distinct electrophysiological features, including pacemaker activity and calcium channel control, which play a vital role in the heart's response to various drugs. The autonomic nervous system, comprising the sympathetic and parasympathetic branches, regulates heart rate. Sympathetic activation increases heart rate, while parasympathetic activation...
1.3K
Cardiac Output and Stroke Volume01:11

Cardiac Output and Stroke Volume

4.3K
Cardiac output (CO) is an integral aspect of human physiology, reflecting the heart's efficiency and responsiveness to the body's needs. It represents the volume of blood that the left or right ventricle ejects into the aorta or pulmonary trunk each minute. The CO is calculated by multiplying the heart rate (HR)—the number of heartbeats per minute—by the stroke volume (SV)—the amount of blood pumped out with each heartbeat.
In an average resting adult male, the typical cardiac...
4.3K
Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

1.5K
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
1.5K
Autoregulation of Blood Flow01:17

Autoregulation of Blood Flow

7.4K
Autoregulation mechanisms are characterized by their inherent capacity for self-regulation without necessitating specific nervous stimulation or endocrine control. These mechanisms facilitate the adjustment of blood flow and, therefore, perfusion specific to each tissue region. This self-regulation encompasses chemical signals and myogenic controls.
Chemical Signaling in Autoregulation
Chemical signaling operates at the precapillary sphincter level, inciting either contraction or relaxation....
7.4K

You might also read

Related Articles

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

Sort by
Same author

Underdamping: An elephant in the room?

Intensive care medicine·2026
Same author

Influence of the Anesthetic Regimen during the Endovascular Treatment of Intracranial Proximal Occlusions with a Large Infarct Core: A Post Hoc Analysis of the LASTE Trial Data.

AJNR. American journal of neuroradiology·2026
Same author

Antibiotic prophylaxis For Urologic Surgery.

Anaesthesia, critical care & pain medicine·2026
Same author

Guidelines 2024: Emergency intubation of an adult outside the operating room and intensive care unit.

Anaesthesia, critical care & pain medicine·2026
Same author

Access to haemodynamic evaluation tools in middle-income countries: a survey of 1593 anaesthetists and intensivists from 39 nations.

BJA open·2026
Same author

Hemodynamic phenotyping 4.0.

Anaesthesia, critical care & pain medicine·2025

Related Experiment Video

Updated: Jan 1, 2026

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge
09:32

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge

Published on: January 20, 2023

3.9K

Do changes in perfusion index reflect changes in stroke volume during preload-modifying manoeuvres?

Hugues de Courson1, Frédéric Michard2, Camille Chavignier1

  • 1Department of Anaesthesiology and Critical Care Pellegrin, Bordeaux University Hospital, 33000, Bordeaux, France.

Journal of Clinical Monitoring and Computing
|December 20, 2019
PubMed
Summary

Changes in peripheral perfusion index (deltaPI) can predict changes in stroke volume (deltaSV) during lung recruitment maneuvers in neurosurgery patients. However, deltaPI is not a reliable indicator during fluid loading.

Keywords:
Cardiac outputFluid responsivenessLung recruitment manoeuvrePerfusion indexPulse oximeter

More Related Videos

Functional Assessment of the Donor Heart During Ex Situ Perfusion: Insights from Pressure-Volume Loops and Surface Echocardiography
08:21

Functional Assessment of the Donor Heart During Ex Situ Perfusion: Insights from Pressure-Volume Loops and Surface Echocardiography

Published on: October 11, 2022

2.5K
Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems
08:49

Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems

Published on: August 2, 2024

1.2K

Related Experiment Videos

Last Updated: Jan 1, 2026

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge
09:32

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge

Published on: January 20, 2023

3.9K
Functional Assessment of the Donor Heart During Ex Situ Perfusion: Insights from Pressure-Volume Loops and Surface Echocardiography
08:21

Functional Assessment of the Donor Heart During Ex Situ Perfusion: Insights from Pressure-Volume Loops and Surface Echocardiography

Published on: October 11, 2022

2.5K
Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems
08:49

Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems

Published on: August 2, 2024

1.2K

Area of Science:

  • Critical care medicine
  • Anesthesiology
  • Cardiovascular physiology

Background:

  • Lung recruitment maneuvers (LRMs) are used to improve oxygenation during mechanical ventilation.
  • Changes in stroke volume (deltaSV) during LRMs can predict fluid responsiveness.
  • Cardiac output monitoring is not universally available in surgical patients.

Purpose of the Study:

  • To investigate if changes in peripheral perfusion index (deltaPI) can serve as a non-invasive surrogate for deltaSV during LRMs.
  • To assess the correlation between deltaPI and deltaSV during both LRMs and fluid loading in neurosurgical patients.

Main Methods:

  • 47 neurosurgical patients undergoing mechanical ventilation were monitored for stroke volume (SV) and peripheral perfusion index (PI).
  • LRMs were performed by increasing airway pressure to 30 cmH2O for 30 seconds.
  • Fluid loads were administered to patients with deltaSV > 30% during LRMs.

Main Results:

  • LRMs induced a significant decrease in both SV (26%) and PI (27%).
  • A fair relationship was observed between deltaPI and deltaSV during LRMs (r² = 0.34).
  • deltaPI ≥ 26% predicted deltaSV > 30% with 83% sensitivity and 78% specificity (AUC = 0.84).
  • Fluid loading resulted in weak correlations between deltaPI and deltaSV (r² = 0.19).

Conclusions:

  • Changes in peripheral perfusion index (deltaPI) can be used as a surrogate for changes in stroke volume (deltaSV) during lung recruitment maneuvers in neurosurgical patients.
  • deltaPI is not a reliable indicator of fluid responsiveness during fluid loading in this patient population.