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Related Concept Videos

Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

649
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...
649
Heart Failure VII: Nursing Interventions01:30

Heart Failure VII: Nursing Interventions

768
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,...
768
Heart Failure I: Introduction01:27

Heart Failure I: Introduction

1.4K
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...
1.4K
Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

1.6K
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...
1.6K
Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

4.8K
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...
4.8K
Heart Failure V: Medical Management01:30

Heart Failure V: Medical Management

594
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...
594

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Related Experiment Video

Updated: Apr 19, 2026

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

Published on: June 10, 2025

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Predicting Heart Failure Readmissions.

Anita P Sherer1, Patricia B Crane, Willie Mae Abel

  • 1Anita P. Sherer, MSN, RN, PCCN Clinical Nurse Specialist, Telemetry Cone Health, Greensboro, North Carolina. Patricia B. Crane, PhD, RN, FAHA, FNAP Professor, Associate Dean for Research and Creative Activities, Richard R. Eakin Distinguished Professor of Nursing, East Carolina University, Greenville, North Carolina. Willie Mae Abel, PhD, RN, ACNS-BC Assistant Professor, School of Nursing, The University of North Carolina at Charlotte. Jimmy Efird, PhD, MSc Associate Professor, Department of Cardiovascular Sciences, Brody School of Medicine, East Carolina Heart Institute, East Carolina University, Greenville, North Carolina.

The Journal of Cardiovascular Nursing
|December 17, 2014
PubMed
Summary
This summary is machine-generated.

Certain comorbidities significantly increase heart failure (HF) readmission risk. Renal insufficiency, atrial fibrillation, and cardiomyopathy are key predictors, guiding targeted interventions to reduce hospital readmissions.

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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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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
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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

Published on: June 10, 2025

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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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Area of Science:

  • Cardiology
  • Public Health
  • Health Services Research

Background:

  • Hospitals face financial penalties for high heart failure (HF) readmission rates.
  • Identifying HF readmission risk factors is crucial for developing effective prevention strategies.

Purpose of the Study:

  • To examine the impact of sociodemographic and clinical factors on heart failure (HF) readmission risk.
  • To identify specific comorbidities that predict HF readmission.

Main Methods:

  • Retrospective cohort study involving chart reviews of 245 heart failure (HF) inpatients.
  • Comparison of readmitted HF patients with those not readmitted.

Main Results:

  • The study sample comprised predominantly white, elderly individuals.
  • Cox regression identified the number and type of comorbidities as significant predictors of HF readmission.
  • Specific high-risk comorbidities included renal insufficiency, atrial fibrillation, and cardiomyopathy, with increased readmission ratios.

Conclusions:

  • Targeting patients with high-risk comorbidities is essential for developing strategies to prevent or delay heart failure (HF) readmissions.
  • Clinical interventions should focus on managing comorbidities to improve patient outcomes and reduce healthcare costs.