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Related Concept Videos

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...
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Imbalances in Cardiac Output01:26

Imbalances in Cardiac Output

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The heart's primary function is to pump blood throughout the body, maintaining a balance between blood sent out (cardiac output) and blood returning (venous return). If this balance is disrupted, it can result in congestive heart failure (CHF), a severe condition where the heart becomes an inefficient pump, leading to inadequate blood circulation.
CHF can occur due to the failure of either side of the heart. Left-side failure leads to pulmonary congestion—the right side continues to send...
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Heart Failure Drugs: Inhibitors of Renin-Angiotensin System01:26

Heart Failure Drugs: Inhibitors of Renin-Angiotensin System

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The activation of the sympathetic nervous system and the renin-angiotensin-aldosterone system (RAAS) contributes to cardiac remodeling, and inhibiting the RAAS is a pharmacological target in heart failure management. As a result, neurohumoral modulation is a crucial treatment principle for managing heart failure. This approach involves using medications like ACE inhibitors (ACEIs), angiotensin receptor blockers (ARBs), β-blockers, mineralocorticoid receptor antagonists (MRAs), and neutral...
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Related Experiment Video

Updated: Jul 8, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

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433

Heart failure: a prevalence-based and model-based cost analysis.

Zahra Mahmoudi1, Maryam Chenaghlou2, Hossein Zare3

  • 1Department of Health Economics, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.

Frontiers in Cardiovascular Medicine
|December 18, 2023
PubMed
Summary
This summary is machine-generated.

Heart failure (HF) significantly burdens patients economically, with indirect costs from unpaid work being substantial. Understanding these costs is vital for effective patient support and resource allocation.

Keywords:
Markov modelscost-of-illnesseconomic burdenfinancial burdenheart failure

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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

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56

Area of Science:

  • Health Economics
  • Public Health
  • Cardiology

Background:

  • Heart failure (HF) represents a significant economic challenge globally.
  • Quantifying the economic burden is essential for resource allocation and policy development.

Purpose of the Study:

  • To assess the direct and indirect costs associated with heart failure (HF).
  • To analyze the impact of clinical and demographic factors on HF-related economic burden.

Main Methods:

  • A prevalence-based, bottom-up, and incidence-based Markov model was employed.
  • Societal perspective was adopted, including direct and indirect costs (Human Capital method).
  • A two-part regression model (GLM and Probit) analyzed cost determinants.

Main Results:

  • The total annual cost per HF patient was substantial, with indirect costs comprising 79% of the total.
  • Premature death was the largest contributor to lifetime costs (48%).
  • Gender, insurance status, and HF class significantly influenced costs; age and comorbidity did not.

Conclusions:

  • HF imposes a considerable economic burden, particularly through indirect costs reflecting unpaid work.
  • Variations in HF costs necessitate tailored social and financial support systems for patients.