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Related Concept Videos

Regulation of Stroke Volume01:27

Regulation of Stroke Volume

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...
Cardiac Output and Stroke Volume01:11

Cardiac Output and Stroke Volume

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 output averages...
Cardiac Output II: Effect of Stroke Volume on Cardiac Output01:22

Cardiac Output II: Effect of Stroke Volume on Cardiac Output

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...
Pulse01:05

Pulse

The pulse is one of the most fundamental physiological indicators of the body's cardiovascular health. It is the rhythmic expansion and contraction of the arterial walls in response to the pressure generated by the heart's pumping action.
Pulse Rate and its Significance
Pulse rate, often measured in beats per minute (bpm), reflects the heart rate (HR), which is influenced by numerous factors such as stress, physical activity, and hormonal changes. A normal resting adult pulse rate falls between...
Pre-Procedural Guidelines for Assessing Blood Pressure01:10

Pre-Procedural Guidelines for Assessing Blood Pressure

Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the patient.
Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

Cardiac Output
Cardiac output (CO) refers to the total amount of blood ejected by one of the ventricles in liters per minute (L/min). In a resting adult, CO ranges from 5 to 6 L/min, adjusting according to the body's metabolic requirements.
Effect of Heart Rate on Cardiac Output
Cardiac output adapts to metabolic demands during stress, physical activity, or illness. The autonomic nervous system regulates heart rate via the sinoatrial node. The parasympathetic nervous system decreases heart rate...

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Related Experiment Video

Updated: Jun 20, 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

A simple physiologic algorithm for managing hemodynamics using stroke volume and stroke volume variation: physiologic

William T McGee1

  • 1Baystate Medical Center, Department of Medicine, Tufts University School of Medicine, Springfield, Massachusetts 01199, USA. William.T.McGee@bhs.org

Journal of Intensive Care Medicine
|September 9, 2009
PubMed
Summary
This summary is machine-generated.

Dynamic parameters like stroke volume variation can predict fluid responsiveness in critically ill patients. This approach offers a better alternative to static measures for guiding hemodynamic therapy in intensive care units and operating rooms.

Related Experiment Videos

Last Updated: Jun 20, 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

Area of Science:

  • Critical Care Medicine
  • Hemodynamics
  • Physiology

Background:

  • Intravascular volume status is crucial for managing critically ill patients.
  • Goal-directed hemodynamic therapy benefits patients with sepsis, ARDS, and surgical conditions.
  • Static measures like CVP and PAOP are unreliable for predicting fluid responsiveness.

Purpose of the Study:

  • To review the physiology of using stroke volume variation (SVV) to predict fluid responsiveness.
  • To propose a management algorithm for volume management in critically ill patients.
  • To address the inconsistent adoption of dynamic parameters for fluid management.

Main Methods:

  • Review of basic physiology related to stroke volume variation.
  • Discussion of dynamic parameters (SVV, PPV) during positive pressure ventilation.
  • Proposal of a management algorithm based on SVV and PPV.

Main Results:

  • Stroke volume variation and pulse pressure variation are effective predictors of fluid responsiveness.
  • Dynamic parameters offer an evolving practice for volume management in ICU and OR settings.
  • Static measures (CVP, PAOP) are not useful for predicting fluid responsiveness.

Conclusions:

  • Dynamic parameters, particularly stroke volume variation, are valuable for guiding fluid therapy in critically ill patients.
  • A proposed algorithm can aid in the consistent application of dynamic parameters for volume management.
  • Optimizing fluid management through dynamic parameters can improve patient outcomes in critical care settings.