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Related Concept Videos

Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

51
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...
51
Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

38
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...
38
Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

1.9K
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...
1.9K
Heart Failure VII: Nursing Interventions01:30

Heart Failure VII: Nursing Interventions

145
The first step in nursing management of a patient with heart failure involves thoroughly assessing the patient's medical history.Subjective Data: Obtain the patient's medical history of coronary artery disease, hypertension, myocardial infarction, and symptoms like dyspnea, orthopnea, and paroxysmal nocturnal dyspnea.Objective Data: Conduct a physical examination to identify findings such as jugular vein distention, pulmonary crackles, tachycardia, murmurs, peripheral edema, and vital signs,...
145
Heart Failure I: Introduction01:27

Heart Failure I: Introduction

62
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...
62
Heart Failure V: Medical Management01:30

Heart Failure V: Medical Management

29
Medical Management of Acute Decompensated Heart Failure (ADHF)The primary goals of therapy for patients hospitalized with acute decompensated heart failure (ADHF) include:Relieving symptomsOptimizing volume statusSupporting oxygenation and ventilationMaintaining cardiac output (CO) and end-organ perfusionIdentifying and addressing the cause of ADHFPreventing complicationsProviding patient education on factors precipitating HF exacerbationPlanning for dischargeOngoing monitoring and assessment...
29

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Related Experiment Video

Updated: Sep 16, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

217

Risk prediction in heart failure using invasive hemodynamics.

Martin Joachim Kraus1, Aleksandre Veshapeli2, Christoph Reich2,3

  • 1Department of Internal Medicine III, Division of Cardiology, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany. martin.kraus@med.uni-heidelberg.de.

Clinical Research in Cardiology : Official Journal of the German Cardiac Society
|July 10, 2025
PubMed
Summary

Invasive hemodynamic parameters, combined with biomarkers and clinical data, offer superior risk stratification for heart failure patients compared to existing scores. This new model improves prediction of mortality and major adverse events.

Keywords:
Diagnostics in heart failureHeart failureInvasive hemodynamicsRisk models in heart failure

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Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
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Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

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Invasive Hemodynamic Monitoring of Aortic and Pulmonary Artery Hemodynamics in a Large Animal Model of ARDS
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Invasive Hemodynamic Monitoring of Aortic and Pulmonary Artery Hemodynamics in a Large Animal Model of ARDS

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Related Experiment Videos

Last Updated: Sep 16, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

217
Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
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Invasive Hemodynamic Monitoring of Aortic and Pulmonary Artery Hemodynamics in a Large Animal Model of ARDS
08:12

Invasive Hemodynamic Monitoring of Aortic and Pulmonary Artery Hemodynamics in a Large Animal Model of ARDS

Published on: November 26, 2018

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Area of Science:

  • Cardiology
  • Clinical Research
  • Medical Technology

Background:

  • Risk stratification is critical for managing heart failure patients.
  • The prognostic utility of invasive hemodynamic parameters versus established risk scores is not well-defined.

Purpose of the Study:

  • To evaluate the prognostic value of invasive hemodynamic parameters measured by right heart catheterization.
  • To compare the predictive performance of invasive parameters against established risk scores like SHFM and MAGGIC.

Main Methods:

  • Retrospective analysis of 883 heart failure patients.
  • Utilized Cox proportional hazards models to assess predictors of all-cause mortality, heart transplantation, or LVAD implantation.
  • Developed and validated a new risk score incorporating invasive hemodynamics, biomarkers (NT-proBNP, hsTnT), and clinical variables.

Main Results:

  • Invasive parameters (mean PA pressure, right atrial pressure, PAWP, SVO2) were significant predictors of the primary endpoint (p < 0.001).
  • A novel risk score integrating invasive parameters, NT-proBNP, hsTnT, creatinine, age, and ischemic cardiomyopathy demonstrated superior predictive performance (AUC 0.76-0.78) compared to SHFM and MAGGIC (AUC 0.69-0.71).
  • Predictive value of invasive parameters was reduced in patients with ischemic cardiomyopathy.

Conclusions:

  • Invasive hemodynamics provide valuable prognostic information in heart failure with reduced ejection fraction.
  • The novel risk score combining invasive hemodynamics with other variables outperforms established models for predicting patient outcomes.