Background: Despite guideline recommendations, most patients with COPD do not undergo alpha-1 antitrypsin deficiency (AATD) testing and approximately 90% of people with AATD in the US remain undiagnosed. This study sought to develop a predictive model using real-world data to improve detection of AATD-positive patients in the general COPD population.
Methods: A predictive model using XGBoost was developed using the EVERSANA database, including longitudinal, patient-level medical claims, prescription claims, AATD-specific testing data, and electronic health records (EHR).
Background: The Short Form 36-Item Health Survey (SF-36) is a health-related quality of life (HRQoL) measure validated in people with chronic obstructive pulmonary disease (COPD). While physical health is often more impaired than mental health in people with COPD, research on alpha-1 antitrypsin deficiency (AATD)-associated COPD is limited. This longitudinal study examines changes in physical and mental health in individuals with AATD and associated factors.
View Article and Find Full Text PDFBackground: Chronic obstructive pulmonary disease (COPD) is a progressive respiratory disease associated with respiratory muscle weakness and activity-limiting symptoms such as dyspnea. Respiratory muscle strength training (RMST) is an empirically validated therapy to increase respiratory muscle strength. The theoretically-informed, technology-enhanced RESPiratory FITness (RESP-FIT) intervention for COPD is a 6-week combined inspiratory and expiratory muscle strength training program with symptom measurement in real time via ecological momentary assessment (EMA).
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