Open AccessValidation of COPDPredict™: Unique Combination of Remote Monitoring and Exacerbation Prediction to Support Preventative Management of COPD Exacerbations
Author(s) -
Neil Patel,
Kathryn Kinmond,
Pauline Jones,
Pamela Birks,
M Spiteri
Publication year - 2021
Publication title -
international journal of chronic obstructive pulmonary disease/international journal of copd
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 67
eISSN - 1178-2005
pISSN - 1176-9106
DOI - 10.2147/copd.s309372
Subject(s) - medicine , exacerbation , copd , observational study , emergency department , emergency medicine , prospective cohort study , copd exacerbation , severity of illness , physical therapy , intensive care medicine , acute exacerbation of chronic obstructive pulmonary disease , psychiatry
COPDPredict™ is a novel digital application dedicated to providing early warning of imminent COPD (chronic obstructive pulmonary disease) exacerbations for prompt intervention. Exacerbation prediction algorithms are based on a decision tree model constructed from percentage thresholds for disease state changes in patient-reported wellbeing, forced expiratory volume in one second (FEV 1 ) and C-reactive protein (CRP) levels. Our study determined the validity of COPDPredict™ to identify exacerbations and provide timely notifications to patients and clinicians compared to clinician-defined episodes.