A common model for the breathlessness experience across cardiorespiratory disease
Finnegan, Sarah L ; Pattinson, Kyle T S ; Sundh, Josefin ; Sköld, Magnus ; Janson, Christer ; Blomberg, Anders ; Sandberg, Jacob LU
and Ekström, Magnus
LU
(2021)
In ERJ open research
7.
- Abstract
Chronic breathlessness occurs across many different conditions, often independently of disease severity. Yet, despite being strongly linked to adverse outcomes, the consideration of chronic breathlessness as a stand-alone therapeutic target remains limited. Here we use data-driven techniques to identify and confirm the stability of underlying features (factors) driving breathlessness across different cardiorespiratory diseases. Questionnaire data on 182 participants with main diagnoses of asthma (21.4%), COPD (24.7%), heart failure (19.2%), idiopathic pulmonary fibrosis (18.7%), other interstitial lung disease (2.7%), and "other diagnoses" (13.2%) were entered into an exploratory factor analysis (EFA). Participants were stratified based... (More)
Chronic breathlessness occurs across many different conditions, often independently of disease severity. Yet, despite being strongly linked to adverse outcomes, the consideration of chronic breathlessness as a stand-alone therapeutic target remains limited. Here we use data-driven techniques to identify and confirm the stability of underlying features (factors) driving breathlessness across different cardiorespiratory diseases. Questionnaire data on 182 participants with main diagnoses of asthma (21.4%), COPD (24.7%), heart failure (19.2%), idiopathic pulmonary fibrosis (18.7%), other interstitial lung disease (2.7%), and "other diagnoses" (13.2%) were entered into an exploratory factor analysis (EFA). Participants were stratified based on their EFA factor scores. We then examined model stability using 6-month follow-up data and established the most compact set of measures describing the breathlessness experience. In this dataset, we have identified four stable factors that underlie the experience of breathlessness. These factors were assigned the following descriptive labels: 1) body burden, 2) affect/mood, 3) breathing burden and 4) anger/frustration. Stratifying patients by their scores across the four factors revealed two groups corresponding to high and low burden. These two groups were not related to the primary disease diagnosis and remained stable after 6 months. In this work, we identified and confirmed the stability of underlying features of breathlessness. Previous work in this domain has been largely limited to single-diagnosis patient groups without subsequent re-testing of model stability. This work provides further evidence supporting disease independent approaches to assess breathlessness.
(Less)
- author
- Finnegan, Sarah L
; Pattinson, Kyle T S
; Sundh, Josefin
; Sköld, Magnus
; Janson, Christer
; Blomberg, Anders
; Sandberg, Jacob
LU
and Ekström, Magnus
LU
- organization
- publishing date
- 2021-04
- type
- Contribution to journal
- publication status
- published
- subject
- in
- ERJ open research
- volume
- 7
- article number
- 00818-2020
- publisher
- European Respiratory Society
- external identifiers
-
- pmid:34195256
- ISSN
- 2312-0541
- DOI
- 10.1183/23120541.00818-2020
- language
- English
- LU publication?
- yes
- additional info
- Copyright ©The authors 2021.
- id
- 65fea0f9-5d95-42cd-b6d3-f698e4696192
- date added to LUP
- 2022-01-11 11:45:31
- date last changed
- 2023-03-21 15:34:04
@article{65fea0f9-5d95-42cd-b6d3-f698e4696192,
abstract = {{<p>Chronic breathlessness occurs across many different conditions, often independently of disease severity. Yet, despite being strongly linked to adverse outcomes, the consideration of chronic breathlessness as a stand-alone therapeutic target remains limited. Here we use data-driven techniques to identify and confirm the stability of underlying features (factors) driving breathlessness across different cardiorespiratory diseases. Questionnaire data on 182 participants with main diagnoses of asthma (21.4%), COPD (24.7%), heart failure (19.2%), idiopathic pulmonary fibrosis (18.7%), other interstitial lung disease (2.7%), and "other diagnoses" (13.2%) were entered into an exploratory factor analysis (EFA). Participants were stratified based on their EFA factor scores. We then examined model stability using 6-month follow-up data and established the most compact set of measures describing the breathlessness experience. In this dataset, we have identified four stable factors that underlie the experience of breathlessness. These factors were assigned the following descriptive labels: 1) body burden, 2) affect/mood, 3) breathing burden and 4) anger/frustration. Stratifying patients by their scores across the four factors revealed two groups corresponding to high and low burden. These two groups were not related to the primary disease diagnosis and remained stable after 6 months. In this work, we identified and confirmed the stability of underlying features of breathlessness. Previous work in this domain has been largely limited to single-diagnosis patient groups without subsequent re-testing of model stability. This work provides further evidence supporting disease independent approaches to assess breathlessness.</p>}},
author = {{Finnegan, Sarah L and Pattinson, Kyle T S and Sundh, Josefin and Sköld, Magnus and Janson, Christer and Blomberg, Anders and Sandberg, Jacob and Ekström, Magnus}},
issn = {{2312-0541}},
language = {{eng}},
publisher = {{European Respiratory Society}},
series = {{ERJ open research}},
title = {{A common model for the breathlessness experience across cardiorespiratory disease}},
url = {{http://dx.doi.org/10.1183/23120541.00818-2020}},
doi = {{10.1183/23120541.00818-2020}},
volume = {{7}},
year = {{2021}},
}