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
dc.contributor.author | Hawthorne, Grace | |
dc.contributor.author | Greening, Neil | |
dc.contributor.author | Chaplin, Emma | |
dc.contributor.author | Clinch, Lisa | |
dc.contributor.author | Steiner, Michael | |
dc.contributor.author | Singh, Sally | |
dc.date.accessioned | 2023-03-28T15:27:51Z | |
dc.date.available | 2023-03-28T15:27:51Z | |
dc.date.issued | 2022-04-26 | |
dc.identifier.citation | Hawthorne, G., Richardson, M., Greening, N. J., Esliger, D., Briggs-Price, S., Chaplin, E. J., Clinch, L., Steiner, M. C., Singh, S. J., & Orme, M. W. (2022). 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. Respiratory research, 23(1), 102. https://doi.org/10.1186/s12931-022-02018-5 | en_US |
dc.identifier.other | 10.1186/s12931-022-02018-5 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12904/16616 | |
dc.description.abstract | 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. | |
dc.description.uri | https://respiratory-research.biomedcentral.com/articles/10.1186/s12931-022-02018-5 | en_US |
dc.language.iso | en | en_US |
dc.subject | Chronic obstructive pulmonary disease | en_US |
dc.subject | Digital health | en_US |
dc.subject | Physical activity | en_US |
dc.subject | Skin temperature | en_US |
dc.subject | Vital signs | en_US |
dc.subject | Wearable technology | en_US |
dc.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 | en_US |
dc.type | Article | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
rioxxterms.version | NA | en_US |
rioxxterms.versionofrecord | https://doi.org/10.1186/s12931-022-02018-5 | en_US |
rioxxterms.type | Journal Article/Review | en_US |
refterms.panel | Unspecified | en_US |
html.description.abstract | 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. | en_US |
rioxxterms.funder.project | 94a427429a5bcfef7dd04c33360d80cd | en_US |