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Identifying unique profiles of perceived dyspnea burden in heart failure
Faulkner, Kenneth M. Jurgens, Corrine Y. Denfeld, Quin E. Lyons, Karen S. Harman Thompson, Jessica Lee, Christopher S.
Faulkner, Kenneth M.
Jurgens, Corrine Y.
Denfeld, Quin E.
Lyons, Karen S.
Harman Thompson, Jessica
Lee, Christopher S.
Abstract
Background: Dyspnea is a common symptom of heart failure (HF) but dyspnea burden is highly variable.
Objectives: Identify distinct profiles of dyspnea burden and identify predictors of dyspnea symptom profile.
Methods: A secondary analysis of data from five studies completed at Oregon Health and Science University was conducted. The Heart Failure Somatic Perception Scale was used to measure dyspnea burden. Latent class mixture modeling identified distinct profiles of dyspnea burden in a sample of HF patients (n = 449). Backwards stepwise multinomial logistic regression identified predictors of latent profile membership.
Results: Four profiles of dyspnea burden were identified: no dyspnea/not bothered by dyspnea, mild dyspnea, moderate exertional dyspnea, and moderate exertional dyspnea with orthopnea and PND. Higher age was associated with greater likelihood of not being bothered by dyspnea than having moderate exertional dyspnea with orthopnea and PND. Higher NYHA class, anxiety, and depression were associated with greater likelihood of greater dyspnea burden.
Conclusions: Burden of dyspnea is highly variable among HF patients. Clinicians should account for the nuances of dyspnea and the activities that induce dyspnea when assessing HF patients.
Keywords
dyspnea, symptom burden, heart failure, latent class mixture modeling
Date
2020
Type
Journal article
Journal
Heart & Lung: the journal of acute and critical care
Book
Volume
49
Issue
5
Page Range
488-494
Article Number
ACU Department
Faculty of Health Sciences
Collections
Relation URI
Source URL
Event URL
Open Access Status
License
All rights reserved
File Access
Controlled