Uncertainty levels differ by physical heart failure symptom cluster

Area of Science:

• Cardiology
• Psychology
• Nursing

Background:

• Illness uncertainty is a significant concern for heart failure (HF) patients, impacting symptom interpretation and outcomes.
• Physical symptom clusters in HF are known predictors of functional status, quality of life, mortality, and rehospitalization.
• Previous research has not explored the relationship between physical symptom clusters and levels of illness uncertainty in HF patients.

Purpose of the Study:

• To identify distinct physical symptom clusters in patients experiencing acute exacerbations of heart failure (HF).
• To determine if levels of illness uncertainty differ among patients within these identified HF symptom clusters.

Main Methods:

• Secondary analysis of data from hospitalized HF patients.
• Utilized the Heart Failure Somatic Perception Scale (HFSPS) and Mishel's Uncertainty in Illness Scale (MUIS-C).
• Hierarchical agglomerative clustering identified symptom clusters; ANCOVA analyzed uncertainty levels, controlling for age and gender.

Main Results:

• Three primary symptom clusters were identified: Shortness of Breath (n=47), Edema (n=39), and Cardiac (n=43).
• Significant differences in illness uncertainty levels were observed across symptom clusters (p ≤ 0.001).
• Patients in the Edema cluster reported higher illness uncertainty compared to those in the Cardiac cluster (74.6 vs 69.5, p=0.033).

Conclusions:

• Illness uncertainty levels vary significantly based on the specific physical symptom cluster experienced by heart failure patients.
• Tailoring HF care and management strategies to individual symptom cluster profiles is essential.
• Further research into unique symptom cluster profiles can improve patient outcomes and quality of life.