TY - JOUR
T1 - Identification of Fatigue Subtypes and Their Correlates in Prevalent Heart Failure
T2 - A Secondary Analysis of the Atherosclerosis Risk in Communities Study
AU - Pavlovic, Noelle
AU - Ndumele, Chiadi E.
AU - Abshire Saylor, Martha
AU - Szanton, Sarah L.
AU - Lee, Christopher S.
AU - Shah, Amil M.
AU - Chang, Patricia P.
AU - Florido, Roberta
AU - Matsushita, Kunihiro
AU - Himmelfarb, Cheryl
AU - Leoutsakos, Jeannie Marie
N1 - Publisher Copyright:
© 2024 Lippincott Williams and Wilkins. All rights reserved.
PY - 2024/2/1
Y1 - 2024/2/1
N2 - BACKGROUND: Among 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. METHODS: We 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. RESULTS: Overall, 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. CONCLUSIONS: We 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.
AB - BACKGROUND: Among 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. METHODS: We 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. RESULTS: Overall, 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. CONCLUSIONS: We 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.
KW - atherosclerosis
KW - body mass index
KW - fatigue
KW - heart failure
KW - probability
UR - http://www.scopus.com/inward/record.url?scp=85185714583&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85185714583&partnerID=8YFLogxK
U2 - 10.1161/CIRCOUTCOMES.123.010115
DO - 10.1161/CIRCOUTCOMES.123.010115
M3 - Article
C2 - 38240158
AN - SCOPUS:85185714583
SN - 1941-7713
VL - 17
SP - E010115
JO - Circulation: Cardiovascular Quality and Outcomes
JF - Circulation: Cardiovascular Quality and Outcomes
IS - 2
ER -