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Related Concept Videos

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

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

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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...
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Pathophysiology of Cardiac Performance01:29

Pathophysiology of Cardiac Performance

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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...
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Three-Compartment Open Model01:06

Three-Compartment Open Model

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The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

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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
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Pharmacokinetic Models: Overview01:20

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
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A comprehensive mathematical model for cardiac perfusion.

Alberto Zingaro1,2, Christian Vergara3, Luca Dede'4

  • 1MOX, Laboratory of Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy. alberto.zingaro@polimi.it.

Scientific Reports
|August 30, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel computational model integrating cardiac electrophysiology, mechanics, and hemodynamics to simulate myocardial blood perfusion. The model accurately predicts coronary flow and reveals reduced perfusion with aortic regurgitation.

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Area of Science:

  • Computational modeling
  • Multiphysics simulation
  • Cardiac physiology

Background:

  • Accurate simulation of myocardial blood perfusion is crucial for understanding cardiac function and disease.
  • Existing models often lack integration of multiscale and multiphysics phenomena.
  • A comprehensive framework is needed to link cardiac mechanics and hemodynamics to perfusion.

Purpose of the Study:

  • To introduce a novel, integrated mathematical model for simulating myocardial blood perfusion.
  • To incorporate multiscale and multiphysics features including electrophysiology, mechanics, hemodynamics, and a multicompartment Darcy model.
  • To provide a unified computational framework for studying cardiac perfusion.

Main Methods:

  • Development of a fully coupled electromechanical model of the left heart.
  • Integration with a fully coupled Navier-Stokes-Darcy Model for biventricular myocardial perfusion.
  • Utilizing a detailed cardiac geometry including epicardial coronaries and myocardium.

Main Results:

  • Demonstrated biophysical fidelity of the model in simulating cardiac perfusion using realistic geometry.
  • Validated in-silico coronary flow rates and myocardial blood flow against clinical literature.
  • Quantified the reduction in myocardial perfusion caused by aortic regurgitation during diastole.

Conclusions:

  • The developed model represents the first integrated framework for electromechanics, hemodynamics, and perfusion.
  • The model provides a reliable tool for investigating cardiac perfusion dynamics and the impact of valvular diseases.
  • This approach enhances our understanding of the complex interplay governing myocardial blood supply.