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How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study

BACKGROUND: Many telehealth systems have been designed to identify signs of exacerbations in patients with chronic obstructive pulmonary disease (COPD), but few previous studies have reported the nature of recorded lung function data and what variations to expect in this group of individuals. The ai...

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Autores principales: Holmner, Åsa, Öhberg, Fredrik, Wiklund, Urban, Bergmann, Eva, Blomberg, Anders, Wadell, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218552/
https://www.ncbi.nlm.nih.gov/pubmed/32398161
http://dx.doi.org/10.1186/s12911-020-1103-6
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author Holmner, Åsa
Öhberg, Fredrik
Wiklund, Urban
Bergmann, Eva
Blomberg, Anders
Wadell, Karin
author_facet Holmner, Åsa
Öhberg, Fredrik
Wiklund, Urban
Bergmann, Eva
Blomberg, Anders
Wadell, Karin
author_sort Holmner, Åsa
collection PubMed
description BACKGROUND: Many telehealth systems have been designed to identify signs of exacerbations in patients with chronic obstructive pulmonary disease (COPD), but few previous studies have reported the nature of recorded lung function data and what variations to expect in this group of individuals. The aim of the study was to evaluate the nature of individual diurnal, day-to-day and long-term variation in important prognostic markers of COPD exacerbations by employing a telehealth system developed in-house. METHODS: Eight women and five men with COPD performed measurements (spirometry, pulse oximetry and the COPD assessment test (CAT)) three times per week for 4–6 months using the telehealth system. Short-term and long-term individual variations were assessed using the relative density and weekly means respectively. Quality of the spirometry measurements (forced expiratory volume in one second (FEV(1)) and inspiratory capacity (IC)) was assessed employing the criteria of American Thoracic Society (ATS)/European Respiratory Society (ERS) guidelines. RESULTS: Close to 1100 measurements of both FEV(1) and IC were performed during a total of 240 patient weeks. The two standard deviation ranges for intra-individual short-term variation were approximately ±210 mL and ± 350 mL for FEV(1) and IC respectively. In long-term, spirometry values increased and decreased without notable changes in symptoms as reported by CAT, although it was unusual with a decrease of more than 50 mL per measurement of FEV(1) between three consecutive measurement days. No exacerbation occurred. There was a moderate to strong positive correlation between FEV(1) and IC, but weak or absent correlation with the other prognostic markers in the majority of the participants. CONCLUSIONS: Although FEV(1) and IC varied within a noticeable range, no corresponding change in symptoms occurred. Therefore, this study reveals important and, to our knowledge, previously not reported information about short and long-term variability in prognostic markers in stable patients with COPD. The present data are of significance when defining criteria for detecting exacerbations using telehealth strategies.
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spelling pubmed-72185522020-05-18 How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study Holmner, Åsa Öhberg, Fredrik Wiklund, Urban Bergmann, Eva Blomberg, Anders Wadell, Karin BMC Med Inform Decis Mak Research Article BACKGROUND: Many telehealth systems have been designed to identify signs of exacerbations in patients with chronic obstructive pulmonary disease (COPD), but few previous studies have reported the nature of recorded lung function data and what variations to expect in this group of individuals. The aim of the study was to evaluate the nature of individual diurnal, day-to-day and long-term variation in important prognostic markers of COPD exacerbations by employing a telehealth system developed in-house. METHODS: Eight women and five men with COPD performed measurements (spirometry, pulse oximetry and the COPD assessment test (CAT)) three times per week for 4–6 months using the telehealth system. Short-term and long-term individual variations were assessed using the relative density and weekly means respectively. Quality of the spirometry measurements (forced expiratory volume in one second (FEV(1)) and inspiratory capacity (IC)) was assessed employing the criteria of American Thoracic Society (ATS)/European Respiratory Society (ERS) guidelines. RESULTS: Close to 1100 measurements of both FEV(1) and IC were performed during a total of 240 patient weeks. The two standard deviation ranges for intra-individual short-term variation were approximately ±210 mL and ± 350 mL for FEV(1) and IC respectively. In long-term, spirometry values increased and decreased without notable changes in symptoms as reported by CAT, although it was unusual with a decrease of more than 50 mL per measurement of FEV(1) between three consecutive measurement days. No exacerbation occurred. There was a moderate to strong positive correlation between FEV(1) and IC, but weak or absent correlation with the other prognostic markers in the majority of the participants. CONCLUSIONS: Although FEV(1) and IC varied within a noticeable range, no corresponding change in symptoms occurred. Therefore, this study reveals important and, to our knowledge, previously not reported information about short and long-term variability in prognostic markers in stable patients with COPD. The present data are of significance when defining criteria for detecting exacerbations using telehealth strategies. BioMed Central 2020-05-12 /pmc/articles/PMC7218552/ /pubmed/32398161 http://dx.doi.org/10.1186/s12911-020-1103-6 Text en © The Author(s). 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Holmner, Åsa
Öhberg, Fredrik
Wiklund, Urban
Bergmann, Eva
Blomberg, Anders
Wadell, Karin
How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study
title How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study
title_full How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study
title_fullStr How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study
title_full_unstemmed How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study
title_short How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study
title_sort how stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? a longitudinal and home-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218552/
https://www.ncbi.nlm.nih.gov/pubmed/32398161
http://dx.doi.org/10.1186/s12911-020-1103-6
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