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Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

1.6K
Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
1.6K
Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

20
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...
20
Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

16
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...
16
Heart Failure III: Clinical Manifestations01:26

Heart Failure III: Clinical Manifestations

24
Heart failure (HF) manifests primarily as dyspnea, fatigue, and fluid retention, resulting in peripheral and pulmonary edema. Symptoms may vary depending on which ventricle is more affected, left or right.Left-Sided Heart FailureAlso known as left ventricular failure, this condition results from the left ventricle's inability to fill or eject sufficient blood into the systemic circulation. It leads to pulmonary congestion, which occurs when the left ventricle fails to eject blood effectively...
24
Heart Failure I: Introduction01:27

Heart Failure I: Introduction

20
Heart failure refers to a clinical syndrome caused by structural or functional cardiac disorders that prevent the heart from pumping an adequate amount of blood to meet the body's metabolic needs. This condition often arises from myocardial infarction or ischemia, leading to decreased cardiac output, reduced tissue perfusion, impaired gas exchange, fluid volume imbalance, and decreased functional ability.Heart failure can result from disruptions in the mechanisms that regulate cardiac output...
20
Cardiomyopathy III: Hypertrophic Cardiomyopathy01:29

Cardiomyopathy III: Hypertrophic Cardiomyopathy

16
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...
16

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Related Experiment Video

Updated: Jul 22, 2025

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

6.5K

Discovering Distinct Phenotypical Clusters in Heart Failure Across the Ejection Fraction Spectrum: a Systematic

Claartje Meijs1,2, M Louis Handoko3, Gianluigi Savarese4

  • 1Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.

Current Heart Failure Reports
|July 21, 2023
PubMed
Summary

This review identifies nine distinct heart failure phenotypes from 34 studies, highlighting clustering as a robust method for clinical stratification. Future research should focus on implementing these phenotypes in clinical trials and practice.

Keywords:
ClusteringHeart failureMachine learningPhenotypingPrecision medicine

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Last Updated: Jul 22, 2025

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Area of Science:

  • Cardiology
  • Bioinformatics
  • Clinical Research

Background:

  • Heart failure (HF) patient stratification is complex due to heterogeneity.
  • Clustering algorithms offer a data-driven approach to identify distinct patient subgroups.
  • Understanding HF phenotypes is crucial for personalized medicine and clinical trial design.

Purpose of the Study:

  • To systematically review and summarize existing clustering studies in heart failure (HF).
  • To identify and describe common HF phenotypes derived from clustering analyses.
  • To provide guidance for future clinical trial design and routine clinical practice implementation.

Main Methods:

  • Systematic literature search for studies employing clustering techniques in heart failure populations.
  • Analysis of identified studies to extract variables, methods, and reported clusters/phenotypes.
  • Synthesis of findings to categorize and describe distinct HF phenotypes.

Main Results:

  • Thirty-four studies were included, with 19 focusing on HF with preserved ejection fraction (HFpEF).
  • Fourteen identified clusters were assigned to nine distinct phenotypes, including 'young, low comorbidity burden', 'metabolic', 'cardio-renal', and 'atrial fibrillation (AF)'.
  • Significant heterogeneity in variables and techniques was noted, with recommendations for improved external validation and transparency.

Conclusions:

  • Clustering is a robust method for discovering clinically distinct heart failure phenotypes.
  • Nine key phenotypes were identified, offering a framework for patient stratification.
  • Future efforts should focus on developing implementable phenotype models for clinical practice and trial design.