Literature DB >> 25475218

Changes in telemonitored physiological variables and symptoms prior to exacerbations of chronic obstructive pulmonary disease.

Christopher Burton1, Hilary Pinnock2, Brian McKinstry3.   

Abstract

We examined symptom scores and physiological measurements from patients who were using a pilot COPD telemonitoring service. Of 33 patients recruited to the study, 19 were monitored for longer than 200 days. We identified three patterns of exacerbation, which we termed discrete (n = 5), rolling (n = 9) and over-ridden (n = 4). The association between FEV1, pulse and SpO2 and total symptom score was examined using multilevel logistic regression. The intraclass correlation coefficient for the model was high (0.36) indicating that much of the variance was due to differences between individuals, rather than within individuals. Compared to baseline, at the onset of exacerbations (n = 172) the mean pulse rate increased from 87 to 94 /min and the mean SpO2 fell from 93.6 to 92.4%. However, physiological variables did not differentiate between exacerbations and isolated bad days (n = 150). Few patient records displayed clear patterns of normality and exacerbation. Clinicians selecting patients for telemonitoring should assess the patient's perception of variation in their symptoms and provide careful training and support whilst patients are learning to monitor their condition.
© The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

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Year:  2014        PMID: 25475218     DOI: 10.1177/1357633X14562733

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  20 in total

1.  Use of predictive algorithms in-home monitoring of chronic obstructive pulmonary disease and asthma: A systematic review.

Authors:  Daniel Sanchez-Morillo; Miguel A Fernandez-Granero; Antonio Leon-Jimenez
Journal:  Chron Respir Dis       Date:  2016-04-20       Impact factor: 2.444

Review 2.  Living with asthma and chronic obstructive airways disease: Using technology to support self-management - An overview.

Authors:  Deborah Morrison; Frances S Mair; Lucy Yardley; Sarah Kirby; Mike Thomas
Journal:  Chron Respir Dis       Date:  2016-08-10       Impact factor: 2.444

3.  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.

Authors:  Grace Hawthorne; Matthew Richardson; Neil J Greening; Dale Esliger; Samuel Briggs-Price; Emma J Chaplin; Lisa Clinch; Michael C Steiner; Sally J Singh; Mark W Orme
Journal:  Respir Res       Date:  2022-04-26

4.  Computerised Analysis of Telemonitored Respiratory Sounds for Predicting Acute Exacerbations of COPD.

Authors:  Miguel Angel Fernandez-Granero; Daniel Sanchez-Morillo; Antonio Leon-Jimenez
Journal:  Sensors (Basel)       Date:  2015-10-23       Impact factor: 3.576

5.  Qualitative investigation into a wearable system for chronic obstructive pulmonary disease: the stakeholders' perspective.

Authors:  Reem Kayyali; Vilius Savickas; Martijn A Spruit; Evangelos Kaimakamis; Roshan Siva; Richard W Costello; John Chang; Barbara Pierscionek; Nikki Davies; Anouk W Vaes; Rita Paradiso; Nada Philip; Eleni Perantoni; Shona D'Arcy; Andreas Raptopoulos; Shereen Nabhani-Gebara
Journal:  BMJ Open       Date:  2016-08-31       Impact factor: 2.692

6.  Randomised crossover trial of telemonitoring in chronic respiratory patients (TeleCRAFT trial).

Authors:  M Chatwin; G Hawkins; L Panicchia; A Woods; A Hanak; R Lucas; E Baker; E Ramhamdany; B Mann; J Riley; M R Cowie; A K Simonds
Journal:  Thorax       Date:  2016-04       Impact factor: 9.139

7.  Monitoring of Physiological Parameters to Predict Exacerbations of Chronic Obstructive Pulmonary Disease (COPD): A Systematic Review.

Authors:  Ahmed M Al Rajeh; John R Hurst
Journal:  J Clin Med       Date:  2016-11-25       Impact factor: 4.241

8.  Continuous Cough Monitoring Using Ambient Sound Recording During Convalescence from a COPD Exacerbation.

Authors:  Michael G Crooks; Albertus den Brinker; Yvette Hayman; James D Williamson; Andrew Innes; Caroline E Wright; Peter Hill; Alyn H Morice
Journal:  Lung       Date:  2017-03-28       Impact factor: 2.584

9.  Home monitoring of breathing rate in people with chronic obstructive pulmonary disease: observational study of feasibility, acceptability, and change after exacerbation.

Authors:  Noah Rubio; Richard A Parker; Ellen M Drost; Hilary Pinnock; Christopher J Weir; Janet Hanley; Leandro C Mantoani; William MacNee; Brian McKinstry; Roberto A Rabinovich
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2017-04-20

10.  Machine-learning based feature selection for a non-invasive breathing change detection.

Authors:  Juliana Alves Pegoraro; Sophie Lavault; Nicolas Wattiez; Thomas Similowski; Jésus Gonzalez-Bermejo; Etienne Birmelé
Journal:  BioData Min       Date:  2021-07-18       Impact factor: 2.522

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