Key result
Severe HF symptom clusters linked to significantly poorer QOL versus less severe clusters.
Why the study?
Physical and psychological symptoms in patients with HF are linked to poor QOL and hospitalizations, making it critical to identify symptom clusters to improve patient management.
Cross-Sectional
p-value: p=<.001
Heart failure patients can be categorized into distinct symptom severity clusters that are significantly associated with their overall quality of life.
Supports symptom cluster assessment in heart failure; leaves open whether targeting clusters improves quality of life.
BACKGROUND: Physical and psychological symptoms are prevalent in patients with heart failure (HF) and are associated with poor quality of life (QOL) and high hospitalization rates. Thus, it is critical to identify symptom clusters to better manage patients with high-risk symptom cluster(s) and to reduce adverse effects. OBJECTIVE: The aims of this study were to identify clusters of physical HF symptoms (ie, dyspnea during daytime, dyspnea when lying down, fatigue, chest pain, edema, sleeping difficulty, and dizziness) and depressive symptoms and to examine their association with QOL in patients with HF. METHODS: In this secondary analysis of a cross-sectional study, data on physical HF symptoms (Symptom Status Questionnaire), depressive symptoms (Patient Health Questionnaire-9), and general QOL (European Quality of Scale-Visual Analog Scale) were collected. We identified clusters based on the physical HF symptoms and depressive symptoms using 2-step and k -means cluster analysis methods. RESULTS: Chest pain was removed from the model because of the low importance value. Two clusters were revealed (cluster 1, severe symptom cluster, vs cluster 2, less severe symptom cluster) based on the 7 symptoms. In cluster 1, all of the 7 symptoms were more severe, and QOL was poorer than those in cluster 2 (all P s < .001). All the mean and median scores of the 7 symptoms in cluster 1 were higher than those in cluster 2. CONCLUSIONS: Patients with HF were clearly divided into 2 clusters based on physical HF symptoms and depressive symptoms, which were associated with QOL. Clinicians should assess these symptoms to improve patient outcomes.
No takes yet. Share an insight, caveat, or question.
Heo et al. (2023) conducted a cross-sectional in Heart failure. Severe symptom cluster (cluster 1) vs. Less severe symptom cluster (cluster 2) was evaluated on Quality of life (QOL) (p=<.001). A severe symptom cluster in patients with heart failure was associated with significantly poorer quality of life compared to a less severe symptom cluster (P<.001).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: