ArticleCirculation. Cardiovascular quality and outcomes2024
Identification of Fatigue Subtypes and Their Correlates in Prevalent Heart Failure: A Secondary Analysis of the Atherosclerosis Risk in Communities Study.
Article in Circulation. Cardiovascular quality and outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- The relationship of fatigue, cardiac structure and function, and outcomes in heart failure: The ARIC study.American heart journal plus : cardiology research and practice · 2026Article
- Association between fatigue and self-care in patients with heart failure: a cross-sectional study.Revista da Escola de Enfermagem da U S P · 2026Article
- Self-care and fatigue in individuals hospitalized with decompensated heart failure during the covid-19 pandemic: a cross-sectional study.Revista latino-americana de enfermagem · 2026Observational
- Exploring the Evolution of Heart Failure Symptoms After Hospitalization and Associations With Social Determinants of Health and Demographic Characteristics.The Journal of cardiovascular nursingObservational
- Inflammation markers associated with symptoms and neighborhood deprivation in black adults with heart failure.Heart & lung : the journal of critical careArticle
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundAmong patients with heart failure (HF), fatigue is common and linked to quality of life and functional status. Fatigue is hypothesized to manifest as multiple types, with general and exertional components. Unique subtypes of fatigue in HF may require differential assessment and treatment to improve outcomes. We conducted this study to identify fatigue subtypes in persons with prevalent HF in the ARIC study (Atherosclerosis Risk in Communities) and describe the distribution of characteristics across subtypes.
methodsWe performed a cross-sectional analysis of 1065 participants with prevalent HF at ARIC visit 5 (2011-2013). We measured exertional fatigue using the Modified Medical Research Council Breathlessness scale and general fatigue using the Patient Reported Outcomes Measurement Information System fatigue scale. We used latent class analysis to identify subtypes of fatigue. Number of classes was determined using model fit statistics, and classes were interpreted and assigned fatigue severity rating based on the conditional probability of endorsing survey items given class. We compared characteristics across classes using multinomial regression.
resultsOverall, participants were 54% female and 38% Black with a mean age of 77. We identified 4 latent classes (fatigue subtypes): (1) high general/high exertional fatigue (18%), (2) high general/low exertional fatigue (27%), (3) moderate general/moderate exertional fatigue (20%), and (4) low/no general and exertional fatigue (35%). Female sex, Black race, lower education level, higher body mass index, increased depressive symptoms, and higher prevalence of diabetes were associated with higher levels of general and exertional fatigue.
conclusionsWe identified unique subtypes of fatigue in patients with HF who have not been previously described. Within subtype, general and exertional fatigue were mostly concordant in severity, and exertional fatigue only occurred in conjunction with general fatigue, not alone. Further understanding these fatigue types and their relationships to outcomes may enhance our understanding of the symptom experience and inform prognostication and secondary prevention efforts for persons with HF.
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