Cargando…
A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study
BACKGROUND: The use of vital signs monitoring in the early recognition of an acute exacerbation of chronic obstructive pulmonary disease (AECOPD) post-hospital discharge is limited. This study investigated whether continuous vital signs monitoring could predict an AECOPD and readmission. METHODS: 35...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044843/ https://www.ncbi.nlm.nih.gov/pubmed/35473718 http://dx.doi.org/10.1186/s12931-022-02018-5 |
_version_ | 1784695190983802880 |
---|---|
author | Hawthorne, Grace Richardson, Matthew Greening, Neil J. Esliger, Dale Briggs-Price, Samuel Chaplin, Emma J. Clinch, Lisa Steiner, Michael C. Singh, Sally J. Orme, Mark W. |
author_facet | Hawthorne, Grace Richardson, Matthew Greening, Neil J. Esliger, Dale Briggs-Price, Samuel Chaplin, Emma J. Clinch, Lisa Steiner, Michael C. Singh, Sally J. Orme, Mark W. |
author_sort | Hawthorne, Grace |
collection | PubMed |
description | BACKGROUND: The use of vital signs monitoring in the early recognition of an acute exacerbation of chronic obstructive pulmonary disease (AECOPD) post-hospital discharge is limited. This study investigated whether continuous vital signs monitoring could predict an AECOPD and readmission. METHODS: 35 people were recruited at discharge following hospitalisation for an AECOPD. Participants were asked to wear an Equivital LifeMonitor during waking hours for 6 weeks and to complete the Exacerbations of Chronic Pulmonary Disease Tool (EXACT), a 14-item symptom diary, daily. The Equivital LifeMonitor recorded respiratory rate (RR), heart rate (HR), skin temperature (ST) and physical activity (PA) every 15-s. An AECOPD was classified as mild (by EXACT score), moderate (prescribed oral steroids/antibiotics) or severe (hospitalisation). RESULTS: Over the 6-week period, 31 participants provided vital signs and symptom data and 14 participants experienced an exacerbation, of which, 11 had sufficient data to predict an AECOPD. HR and PA were associated with EXACT score (p < 0.001). Three days prior to an exacerbation, RR increased by mean ± SD 2.0 ± 0.2 breaths/min for seven out of 11 exacerbations and HR increased by 8.1 ± 0.7 bpm for nine of these 11 exacerbations. CONCLUSIONS: Increased heart rate and reduced physical activity were associated with worsening symptoms. Even with high-resolution data, the variation in vital signs data remains a challenge for predicting AECOPDs. Respiratory rate and heart rate should be further explored as potential predictors of an impending AECOPD. Trial registration: ISRCTN registry; ISRCTN12855961. Registered 07 November 2018—Retrospectively registered, https://www.isrctn.com/ISRCTN12855961 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02018-5. |
format | Online Article Text |
id | pubmed-9044843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90448432022-04-28 A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study Hawthorne, Grace Richardson, Matthew Greening, Neil J. Esliger, Dale Briggs-Price, Samuel Chaplin, Emma J. Clinch, Lisa Steiner, Michael C. Singh, Sally J. Orme, Mark W. Respir Res Research BACKGROUND: The use of vital signs monitoring in the early recognition of an acute exacerbation of chronic obstructive pulmonary disease (AECOPD) post-hospital discharge is limited. This study investigated whether continuous vital signs monitoring could predict an AECOPD and readmission. METHODS: 35 people were recruited at discharge following hospitalisation for an AECOPD. Participants were asked to wear an Equivital LifeMonitor during waking hours for 6 weeks and to complete the Exacerbations of Chronic Pulmonary Disease Tool (EXACT), a 14-item symptom diary, daily. The Equivital LifeMonitor recorded respiratory rate (RR), heart rate (HR), skin temperature (ST) and physical activity (PA) every 15-s. An AECOPD was classified as mild (by EXACT score), moderate (prescribed oral steroids/antibiotics) or severe (hospitalisation). RESULTS: Over the 6-week period, 31 participants provided vital signs and symptom data and 14 participants experienced an exacerbation, of which, 11 had sufficient data to predict an AECOPD. HR and PA were associated with EXACT score (p < 0.001). Three days prior to an exacerbation, RR increased by mean ± SD 2.0 ± 0.2 breaths/min for seven out of 11 exacerbations and HR increased by 8.1 ± 0.7 bpm for nine of these 11 exacerbations. CONCLUSIONS: Increased heart rate and reduced physical activity were associated with worsening symptoms. Even with high-resolution data, the variation in vital signs data remains a challenge for predicting AECOPDs. Respiratory rate and heart rate should be further explored as potential predictors of an impending AECOPD. Trial registration: ISRCTN registry; ISRCTN12855961. Registered 07 November 2018—Retrospectively registered, https://www.isrctn.com/ISRCTN12855961 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02018-5. BioMed Central 2022-04-26 2022 /pmc/articles/PMC9044843/ /pubmed/35473718 http://dx.doi.org/10.1186/s12931-022-02018-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hawthorne, Grace Richardson, Matthew Greening, Neil J. Esliger, Dale Briggs-Price, Samuel Chaplin, Emma J. Clinch, Lisa Steiner, Michael C. Singh, Sally J. Orme, Mark W. A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study |
title | A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study |
title_full | A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study |
title_fullStr | A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study |
title_full_unstemmed | A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study |
title_short | A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study |
title_sort | proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of copd: a prospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044843/ https://www.ncbi.nlm.nih.gov/pubmed/35473718 http://dx.doi.org/10.1186/s12931-022-02018-5 |
work_keys_str_mv | AT hawthornegrace aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT richardsonmatthew aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT greeningneilj aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT esligerdale aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT briggspricesamuel aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT chaplinemmaj aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT clinchlisa aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT steinermichaelc aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT singhsallyj aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT ormemarkw aproofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT hawthornegrace proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT richardsonmatthew proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT greeningneilj proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT esligerdale proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT briggspricesamuel proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT chaplinemmaj proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT clinchlisa proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT steinermichaelc proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT singhsallyj proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy AT ormemarkw proofofconceptforcontinuousnoninvasivefreelivingvitalsignsmonitoringtopredictreadmissionfollowinganacuteexacerbationofcopdaprospectivecohortstudy |