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Related Concept Videos

Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

Systolic Heart Failure and Compensatory MechanismsSystolic heart failure (also termed HFrEF, Heart Failure with Reduced Ejection Fraction) is the most prevalent type of heart filure. It results in a decreased volume of blood being pumped from the ventricle. The aortic arch and carotid sinuses have baroreceptors that detect reduced blood pressure, triggering the sympathetic nervous system (SNS) to release epinephrine and norepinephrine. Initially, this response aims to boost heart rate and...
Cardiomyopathy III: Hypertrophic Cardiomyopathy01:29

Cardiomyopathy III: Hypertrophic Cardiomyopathy

Hypertrophic cardiomyopathy, or HCM, is an autosomal dominant genetic disorder characterized by asymmetric left ventricular hypertrophy without ventricular dilation. It is more common in men and is typically diagnosed in young, athletic adults.EtiologyHCM is primarily genetic and is caused by mutations in genes encoding sarcomeric proteins. Researchers have identified over 1400 mutations across at least 11 different genes. Among these, the most frequently occurring mutations are found in the...
Cardiomyopathy I: Introduction and Classification01:25

Cardiomyopathy I: Introduction and Classification

Cardiomyopathy, or CMP, is a group of diseases affecting the myocardial structure, impairing its ability to pump blood effectively. This condition can lead to arrhythmias, heart failure, or sudden cardiac death.Cardiomyopathies are classified into primary and secondary categories:Primary Cardiomyopathy refers to conditions involving only the heart muscle that are often idiopathic (of unknown cause) or genetic. They primarily affect the myocardium without the involvement of other systemic...
Cardiomyopathy II: Dilated Cardiomyopathy01:30

Cardiomyopathy II: Dilated Cardiomyopathy

Dilated cardiomyopathy, or DCM, is a progressive myocardial disorder characterized by ventricular chamber dilation and contractile dysfunction.EtiologyVarious factors can cause DCM, including hypertension and heavy alcohol intake, which contribute to the weakening and enlargement of the heart muscle. Viral infections, such as Coxsackievirus B, adenoviruses, and influenza, can lead to DCM by causing inflammation and damage to heart tissue. Certain chemotherapeutic agents, including daunorubicin,...
Mitral Stenosis II: Clinical features and Diagnostic Tests01:23

Mitral Stenosis II: Clinical features and Diagnostic Tests

Mitral stenosis is a heart condition in which the mitral valve, which allows blood to flow from the left atrium to the left ventricle, becomes narrowed or stenotic. This narrowing hinders blood flow and leads to clinical symptoms requiring specific medical evaluations and management strategies. The following overview outlines the clinical symptoms, assessments, diagnostic findings, prevention methods, and treatments for mitral stenosis.Clinical ManifestationsDyspnea (shortness of breath): This...

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Related Experiment Video

Updated: Jun 2, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

Modeling left ventricular diastolic dysfunction: classification and key indicators.

Chuan Luo1, Deepa Ramachandran, David L Ware

  • 1Dept, Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA.

Theoretical Biology & Medical Modelling
|May 11, 2011
PubMed
Summary
This summary is machine-generated.

Mathematical modeling reveals that impaired left ventricular diastolic dysfunction (LVDD) can decrease both left and right ventricular systolic performance, contributing to heart failure with normal ejection fraction (HFNEF). Alterations in right ventricular diastolic function may aid in diagnosing LVDD.

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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Related Experiment Videos

Last Updated: Jun 2, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Area of Science:

  • Cardiovascular Physiology
  • Computational Biology
  • Medical Modeling

Background:

  • Heart failure with normal ejection fraction (HFNEF) presents diagnostic challenges.
  • Mathematical modeling offers a method to isolate mechanisms of HFNEF.
  • Left ventricular diastolic dysfunction (LVDD) is a key contributor to HFNEF.

Purpose of the Study:

  • To model three types of LVDD (impaired relaxation, increased stiffness, combined) in a human cardiovascular respiratory system (H-CRS) model.
  • To investigate the effects of LVDD on cardiac function and identify underlying mechanisms of HFNEF.
  • To explore the role of systolic contractility and right ventricular (RV) function in HFNEF.

Main Methods:

  • Utilized a previously established H-CRS model with modifications for pulmonary circulation.
  • Simulated impaired relaxation (IR-type) by altering LV activation and restrictive (R-type) by increasing LV diastolic stiffness.
  • Employed a 5th-order Cash-Karp Runge-Kutta method for numerical integration of model equations.

Main Results:

  • All LVDD types reduced stroke volume, cardiac output, and ejection fraction (EF), with LVEF remaining near normal.
  • Simulations showed compensatory increases in heart rate and pulmonary pressures.
  • Mitral E/A ratio changes differed between IR-type and R-type, while pseudo-normal (PN-type) showed a characteristic pattern. Reduced EF was partly restored by increased systolic stiffness.
  • RV and LV systolic performance were diminished, highlighting the potential diagnostic value of RV function changes.

Conclusions:

  • Abnormal left ventricular diastolic performance can independently reduce both LV and RV systolic function, contributing to HFNEF.
  • Alterations in right ventricular diastolic function are present in LVDD and may serve as a diagnostic hallmark.
  • The model underscores the importance of septal mechanics and suggests that RV function changes could be key for clinical recognition of LVDD.