scholarly journals Managing COPD Exacerbations with Telemedicine

2011 ◽  
pp. 169-178 ◽  
Author(s):  
Maarten van der Heijden ◽  
Bas Lijnse ◽  
Peter J. F. Lucas ◽  
Yvonne F. Heijdra ◽  
Tjard R. J. Schermer
Keyword(s):  
Copd Exacerbations

Prevention of Acute COPD Exacerbations Is Critical

2010 ◽  
Vol 40 (7) ◽  
pp. 42
Author(s):  
BRUCE JANCIN
Keyword(s):  
Copd Exacerbations

Azithromycin Prevented COPD Exacerbations

2011 ◽  
Vol 41 (14) ◽  
pp. 12-13
Author(s):  
MARY ANN MOON
Keyword(s):  
Copd Exacerbations

Identification of biomarkers predicting COPD exacerbations

Pneumologie ◽  
2016 ◽  
Vol 70 (07) ◽  
Author(s):  
M Wolff ◽  
B Hammer ◽  
S Reuter ◽  
S Bartel ◽  
S Krauss-Etschmann ◽  
...  
Keyword(s):  
Copd Exacerbations

Preliminary results from the COPE study using primary-care electronic health records and environmental modelling to examine COPD exacerbations

2018 ◽  
Vol 68 (suppl 1) ◽  
pp. bjgp18X696749 ◽  
Author(s):  
Maimoona Hashmi ◽  
Mark Wright ◽  
Kirin Sultana ◽  
Benjamin Barratt ◽  
Lia Chatzidiakou ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Health Management ◽  
Practice Research ◽  
Chronic Obstructive ◽  
Clinical Practice Research Datalink ◽  
Health Records ◽  
Preliminary Results ◽  
Copd Exacerbations ◽  
Electronic Health

BackgroundChronic Obstructive Airway Disease (COPD) is marked by often severely debilitating exacerbations. Efficient patient-centric research approaches are needed to better inform health management primary-care.AimThe ‘COPE study’ aims to develop a method of predicting COPD exacerbations utilising personal air quality sensors, environmental exposure modelling and electronic health records through the recruitment of patients from consenting GPs contributing to the Clinical Practice Research Datalink (CPRD).MethodThe study made use of Electronic Healthcare Records (EHR) from CPRD, an anonymised GP records database to screen and locate patients within GP practices in Central London. Personal air monitors were used to capture data on individual activities and environmental exposures. Output from the monitors were then linked with the EHR data to obtain information on COPD management, severity, comorbidities and exacerbations. Symptom changes not equating to full exacerbations were captured on diary cards. Linear regression was used to investigate the relationship between subject peak flow, symptoms, exacerbation events and exposure data.ResultsPreliminary results on the first 80 patients who have completed the study indicate variable susceptibility to environmental stressors in COPD patients. Some individuals appear highly susceptible to environmental stress and others appear to have unrelated triggers.ConclusionRecruiting patients through EHR for a study is feasible and allows easy collection of data for long term follow up. Portable environmental sensors could now be used to develop personalised models to predict risk of COPD exacerbations in susceptible individuals. Identification of direct links between participant health and activities would allow improved health management thus cost savings.

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