Remote Monitoring for Prediction and Management of Acute Exacerbations in Chronic Obstructive Pulmonary Disease (AECOPD).
Jean-Louis PépinBruno DeganoRenaud TamisierDamien ViglinoPublished in: Life (Basel, Switzerland) (2022)
The progression of chronic obstructive pulmonary disease (COPD) is characterized by episodes of acute exacerbation (AECOPD) of symptoms, decline in respiratory function, and reduction in quality-of-life increasing morbi-mortality and often requiring hospitalization. Exacerbations can be triggered by environmental exposures, changes in lifestyle, and/or physiological and psychological factors to greater or lesser extents depending on the individual's COPD phenotype. The prediction and early detection of an exacerbation might allow patients and physicians to better manage the acute phase. We summarize the recent scientific data on remote telemonitoring (TM) for the prediction and management of acute exacerbations in COPD patients. We discuss the components of remote monitoring platforms, including the integration of environmental monitoring data; patient reported outcomes collected via interactive Smartphone apps, with data from wearable devices that monitor physical activity, heart rate, etc.; and data from medical devices such as connected non-invasive ventilators. We consider how telemonitoring and the deluge of data it potentially generates could be combined with electronic health records to provide personalized care and multi-disease management for COPD patients.
Keyphrases
- chronic obstructive pulmonary disease
- electronic health record
- patient reported outcomes
- heart rate
- end stage renal disease
- physical activity
- ejection fraction
- newly diagnosed
- lung function
- liver failure
- cystic fibrosis
- prognostic factors
- healthcare
- respiratory failure
- primary care
- peritoneal dialysis
- big data
- cardiovascular disease
- type diabetes
- metabolic syndrome
- risk assessment
- palliative care
- heart rate variability
- blood pressure
- air pollution
- pain management
- cardiovascular events
- machine learning
- chronic pain
- extracorporeal membrane oxygenation
- health insurance
- life cycle