Key result
Cluster analysis identifies four HF symptom clusters predicted primarily by NYHA class and sleep quality.
Why the study?
Heart failure symptom cluster studies have not recruited from community settings or combined physical and psychological symptoms, and studies predicting cluster membership using non-symptom variables are lacking.
Cross-Sectional (n=510)
Yes
Heart failure patients can be grouped into four distinct symptom clusters based on physical and psychological distress, which can be predicted by NYHA class and sleep quality.
No takes yet. Share an insight, caveat, or question.
May support symptom phenotyping in heart failure; leaves open whether NYHA class or sleep quality predict outcomes longitudinally.
Locatelli et al. (2023) conducted a cross-sectional in Heart failure (n=510). Sociodemographic and clinical variables was evaluated on Symptom cluster membership. Four symptom clusters were identified among heart failure patients, with NYHA class and sleep quality emerging as the most important variables in predicting symptom cluster membership.
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