scholarly journals Background and Design of the Biological and Physiological Mechanisms of Symptom Clusters in Heart Failure (BIOMES-HF) Study

Author(s):  
Quin E. Denfeld ◽  
S. Albert Camacho ◽  
Nathan Dieckmann ◽  
Shirin O. Hiatt ◽  
Mary Roberts Davis ◽  
...  
Heart & Lung ◽  
2020 ◽  
Vol 49 (2) ◽  
pp. 151-157
Author(s):  
Quin E. Denfeld ◽  
Julie T. Bidwell ◽  
Jill M. Gelow ◽  
James O. Mudd ◽  
Christopher V. Chien ◽  
...  

Heart & Lung ◽  
2019 ◽  
Vol 48 (5) ◽  
pp. 366-372 ◽  
Author(s):  
Jeanne Salyer ◽  
Maureen Flattery ◽  
Debra E. Lyon

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Kyoung Suk Lee ◽  
Terry A Lennie ◽  
Barbara Riegel ◽  
Seongkum Heo ◽  
Jia-Rong Wu ◽  
...  

Background: Although symptoms in patients (pts) with heart failure (HF) are often viewed in isolation, pts usually have multiple, concurrent symptoms. Identification of symptom clusters could improve pts’ recognition of worsening HF, and enhance pt care. Given gender differences in outcomes in HF, examination of potential differences in clusters and their impact on outcomes is reasonable. Purpose: To identify HF symptom clusters in women and men and examine the impact of clusters on total number of all-cause hospitalizations per pt during 12 month follow-up. Methods: Data from 513 pts with HF (61 ± 12 yrs, 31.7% female, 53.6% NYHA III/IV) were used. Seven symptoms (i.e., edema, dyspnea, fatigue, trouble sleeping, worry, depression, and memory problems) were analyzed for clustering using an agglomerative hierarchical clustering approach and Ward’s method. Validity of cluster solution was assessed with split-sample replication. Symptoms were clustered, and pts were grouped based on symptom burden in clusters. Results: Two symptom clusters were identified in both men and women: physical symptom cluster - dyspnea, fatigue, trouble sleeping; and emotional/cognitive symptom cluster - worry, memory problems, depression. Pts were grouped into 4 based on their symptom burden in each of the 2 clusters: low burden related to both clusters; burden from physical cluster > than that from emotional cluster; burden from the emotional cluster > than that from physical cluster; and high and equal burden from both clusters. ANOVA revealed a difference in number of hospitalizations in both men and women based on the groups (p=.002); there were no gender differences. Pts in group 3 (emotional symptoms > than physical) were most frequently hospitalized (1.8 ± 2.8 hospitalizations/pt in group 3 compared to 1.7 ± 2.5/pt in group 4 vs .88 ± 1.6/pt in group 2 vs .66 ± 1.3/pt in group 1; post hoc Tukey indicates p <.05 for all comparisons except group 3 with 4). Conclusion: HF symptoms cluster in two identifiable groups: a physical and an emotional/cognitive cluster. Pts with the most burden from the emotional cluster have the worst outcomes, suggesting that increased attention needs to be paid by clinicians to emotional symptoms and the fact that they occur in clusters.


2010 ◽  
Vol 25 (4) ◽  
pp. 284-291 ◽  
Author(s):  
Eun Kyeung Song ◽  
Debra K. Moser ◽  
Mary K. Rayens ◽  
Terry A. Lennie

2010 ◽  
Vol 25 (4) ◽  
pp. 263-272 ◽  
Author(s):  
Kyoung Suk Lee ◽  
Eun Kyeung Song ◽  
Terry A. Lennie ◽  
Susan K. Frazier ◽  
Misook L. Chung ◽  
...  

2018 ◽  
Vol 32 (3) ◽  
pp. 311-327 ◽  
Author(s):  
Youn-Jung Son ◽  
Mi Hwa Won

Background and Purpose:Readmissions after hospitalization due to multiple symptoms in heart failure (HF) are common and costly. Patients have difficulty differentiating HF symptoms from comorbid illness or aging. Therefore, early identification of symptom clusters could improve symptom recognition and reduce hospital readmission. However, little is known about the relationship between symptom clusters and readmission in HF patients. This study aimed to identify symptom clusters among Korean patients with HF and the relationship between symptom clusters and hospital readmission.Methods:This cross-sectional study included 306 HF outpatients within 12 months after discharge. Exploratory factor analysis was used to identify the symptom clusters. Multiple logistic regression analysis was used to examine the effect of symptom clusters on readmission, after adjusting for sociodemographic and clinical characteristics.Results:Three symptom clusters were identified in HF patients: the “respiratory distress” cluster, “bodily pain and energy insufficiency” cluster, and “circulatory and gastrointestinal distress” cluster. Patients with class III or IV of HF functional class experienced three symptom clusters at a higher level. This study showed that the “bodily pain and energy insufficiency” cluster was the strongest predictor of hospital readmission in HF patients (adjusted odds ratio = 6.59, 95% confidence interval (CI) [1.29, 32.79]).Implications for Practice:A higher level of “bodily pain and energy insufficiency” cluster was associated with hospital readmission in Korean HF patients. Health-care providers should be encouraged to consider patients’ cultural backgrounds to recognize differences in symptom clusters. Further studies are needed to evaluate symptom clusters across international cohorts and their impacts on patients’ outcomes.


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