TY - JOUR
T1 - Exploring Symptom Clusters in People With Heart Failure
AU - Park, Jumin
AU - Moser, Debra K.
AU - Griffith, Kathleen
AU - Harring, Jeffrey R.
AU - Johantgen, Meg
N1 - Publisher Copyright:
© The Author(s) 2017.
PY - 2019/2/1
Y1 - 2019/2/1
N2 - Patients with heart failure (HF) experience multiple symptoms or symptom clusters. The purposes of this study were to (a) determine if distinct latent classes of HF symptoms could be identified, and (b) explore whether sociodemographic and clinical characteristics influenced symptom cluster membership. A total of 4,011 HF patients recruited from outpatient setting completed the Minnesota Living With Heart Failure Questionnaire (MLHFQ), including five physical symptoms (edema, shortness of breath, fatigue-increased need to rest, fatigue-low energy, and sleep difficulties) and three psychological symptoms (worrying, feeling depressed, and cognitive problems). Four distinct classes using latent class profile analysis were identified: low distress (Class 1), physical distress (Class 2), psychological distress (Class 3), and high distress (Class 4). Significant differences among the four latent classes were found for age, education level, and comorbidities. Symptom clusters are useful for recognition of HF symptoms, allowing for the development of strategies that target symptom groups.
AB - Patients with heart failure (HF) experience multiple symptoms or symptom clusters. The purposes of this study were to (a) determine if distinct latent classes of HF symptoms could be identified, and (b) explore whether sociodemographic and clinical characteristics influenced symptom cluster membership. A total of 4,011 HF patients recruited from outpatient setting completed the Minnesota Living With Heart Failure Questionnaire (MLHFQ), including five physical symptoms (edema, shortness of breath, fatigue-increased need to rest, fatigue-low energy, and sleep difficulties) and three psychological symptoms (worrying, feeling depressed, and cognitive problems). Four distinct classes using latent class profile analysis were identified: low distress (Class 1), physical distress (Class 2), psychological distress (Class 3), and high distress (Class 4). Significant differences among the four latent classes were found for age, education level, and comorbidities. Symptom clusters are useful for recognition of HF symptoms, allowing for the development of strategies that target symptom groups.
KW - cluster analysis
KW - heart failure
KW - signs and symptoms
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U2 - 10.1177/1054773817729606
DO - 10.1177/1054773817729606
M3 - Article
C2 - 28874055
AN - SCOPUS:85042398576
SN - 1054-7738
VL - 28
SP - 165
EP - 181
JO - Clinical Nursing Research
JF - Clinical Nursing Research
IS - 2
ER -