Identifying unique profiles of perceived dyspnea burden in heart failure

Kenneth M. Faulkner, Corrine Y. Jurgens, Quin E. Denfeld, Karen S. Lyons, Jessica Harman Thompson, Christopher S. Lee

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)488-494
Number of pages7
JournalHeart and Lung
Volume49
Issue number5
DOIs
StatePublished - Sep 1 2020

Keywords

  • Dyspnea
  • Heart failure
  • Latent class mixture modeling
  • Symptom burden

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Critical Care and Intensive Care Medicine
  • Cardiology and Cardiovascular Medicine

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