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Updated: Oct 26, 2025

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
Age and gender differences in physical heart failure symptom clusters.
Kristen A Sethares1, Elizabeth Chin1
1Department of Adult Nursing, College of Nursing and Health Sciences, University of Massachusetts Dartmouth, 285 Old Westport Rd. North Dartmouth 02747, MA, United States.
Heart failure (HF) symptom clusters vary by age and gender. Understanding these differences can improve patient education and awareness of personalized symptom patterns.
Area of Science:
- Cardiology
- Geriatrics
- Nursing
Background:
- Gender disparities influence heart structure and function, leading to varied heart failure (HF) symptom presentation.
- Prior research has linked HF symptom clusters to patient outcomes like functional status, mortality, quality of life, and rehospitalization rates.
- Limited studies have explored age and gender variations within HF symptom clusters.
Purpose of the Study:
- To identify distinct physical symptom clusters in patients with heart failure.
- To investigate potential differences in these symptom clusters based on patient age and gender.
Main Methods:
- A secondary analysis was performed on data from adult patients diagnosed with heart failure.
- Hierarchical agglomerative clustering techniques were employed to group similar symptom presentations.
- Results were visualized using a pictorial dendrogram to illustrate cluster relationships.
Main Results:
- Three distinct symptom clusters emerged from the analysis of 133 older HF patients.
- These clusters showed statistically significant differences concerning gender (p=0.04), age (p=0.00), and beta-blocker medication use (p=0.01).
- The identified clusters corresponded to patterns of worsening HF, acute HF, and chronic HF.
Conclusions:
- Heart failure symptom clusters exhibit significant variations related to patient age and gender.
- Healthcare education should emphasize patient-specific symptom cluster awareness to enhance self-management and understanding.
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