Pépin Jean-Louis, Degano Bruno, Tamisier Renaud, Viglino Damien
HP2 Laboratory, Grenoble Alpes University, INSERM U1300, 38000 Grenoble, France.
EFCR Laboratory, Thorax and Vessels Division, University Hospital of Grenoble Alpes, 38043 Grenoble, France.
Life (Basel). 2022 Mar 29;12(4):499. doi: 10.3390/life12040499.
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.
慢性阻塞性肺疾病(COPD)的进展特征为症状的急性加重(AECOPD)发作、呼吸功能下降以及生活质量降低,这增加了发病率和死亡率,且常常需要住院治疗。根据个体的COPD表型,加重可在不同程度上由环境暴露、生活方式改变和/或生理及心理因素引发。对加重的预测和早期检测可能使患者和医生更好地管理急性期。我们总结了关于远程遥测监测(TM)用于预测和管理COPD患者急性加重的最新科学数据。我们讨论了远程监测平台的组成部分,包括环境监测数据的整合;通过交互式智能手机应用程序收集的患者报告结局,以及来自监测身体活动、心率等的可穿戴设备的数据;还有来自诸如联网无创呼吸机等医疗设备的数据。我们思考了远程监测及其可能产生的大量数据如何能与电子健康记录相结合,以为COPD患者提供个性化护理和多病种管理。