ArticleEuropean journal of cardiovascular nursing2018
Atrial fibrillation symptom clusters and associated clinical characteristics and outcomes: A cross-sectional secondary data analysis.
Article in European journal of cardiovascular nursing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effect of HIIT on hemostasis and vascular stiffness: a systematic review and meta-analysis of randomized controlled trials.Frontiers in cardiovascular medicine · 2025Pooled it
- Pooled it
- A Relationship Between Atrial Fibrillation and Dizziness.Journal of clinical medicine · 2025Review
- Observational
- Associations between atrial fibrillation symptom clusters and major adverse cardiovascular events following catheter ablation.Heart rhythm O2 · 2024Article
- The Application of Artificial Intelligence in Atrial Fibrillation Patients: From Detection to Treatment.Reviews in cardiovascular medicine · 2024Review
- [Cluster Analysis and Ablation Success Rate in Atrial Fibrillation Patients Undergoing Catheter Ablation].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024Article
- Managing With Atrial Fibrillation: An Exploratory Model-Based Cluster Analysis of Clinical and Personal Patient Characteristics.CJC open · 2023Article
- Characterising symptom clusters in patients with atrial fibrillation undergoing catheter ablation.Open heart · 2023Article
- Symptom Clusters, Psychological Distress, and Quality of Life in Patients with Atrial Fibrillation.Healthcare (Basel, Switzerland) · 2023Article
- The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care.Journal of advanced nursing · 2023Article
- Hypertrophic cardiomyopathies requiring more monitoring for less atrial fibrillation-related complications: a clustering analysis based on the French registry on hypertrophic cardiomyopathy (REMY).Clinical research in cardiology : official journal of the German Cardiac Society · 2022Observational
- Atrial Fibrillation Symptom Perception.The journal for nurse practitioners : JNP · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundSymptom clusters among adults with atrial fibrillation have previously been identified but no study has examined the relationship between symptom clusters and outcomes.
aimsThe purpose of this study was to identify atrial fibrillation-specific symptom clusters, characterize individuals with each cluster, and determine whether symptom cluster membership is associated with healthcare utilization.
methodsThis was a cross-sectional secondary data analysis of 1501 adults from the Vanderbilt Atrial Fibrillation Registry with verified atrial fibrillation. Self-reported symptoms were measured with the University of Toronto Atrial Fibrillation Severity Scale. We used hierarchical cluster analysis (Ward's method) to identify clusters and dendrograms, pseudo F, and pseudo T-squared to determine the ideal number of clusters. Next, we used regression analysis to examine the association between cluster membership and healthcare utilization.
resultsMales predominated (67%) and the average age was 58.4 years. Two symptom clusters were identified, a Weary cluster (3.7%, n=56, fatigue at rest, shortness of breath at rest, chest pain, and dizziness) and an Exertional cluster (32.7%, n=491, shortness of breath with activity and exercise intolerance). Several sociodemographic and clinical characteristics varied by symptom cluster group membership, including age, gender, atrial fibrillation type, body mass index, comorbidity status, and treatment strategy. Women were more likely to experience either cluster ( p<0.001). The Weary cluster was associated with nearly triple the rate of emergency department utilization (incident rate ratio [IRR] 2.8, p<0.001) and twice the rate of hospitalizations (IRR 1.9, p<0.001).
conclusionWe identified two symptom clusters. The Weary cluster was associated with a significantly increased rate of healthcare utilization.
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