Actigraphy informs distinct patient-centered outcomes in Pre-COPD. (October 2021)

• Record Type: Journal Article
• Authors: Chen, Jianhong; Weldemichael, Lemlem; Zeng, Siyang; Giang, Brian; Geerts, Jeroen; Ching, Wendy Czerina; Nishihama, Melissa; Gold, Warren M.; Arjomandi, Mehrdad
• Is Part Of: Respiratory medicine. Volume 187(2021)
• Publication Date: 2021-10
• Subjects: Actigraphy -- Machine learning -- Secondhand tobacco smoke -- COPD -- Pre-COPD -- Air trapping -- Cardiopulmonary exercise -- Pulmonary function testing; Chest -- Diseases -- Periodicals; Chest -- Diseases -- Great Britain -- Periodicals; Respiratory organs -- Diseases -- Periodicals; Respiratory Tract Diseases -- Periodicals; Appareil respiratoire -- Maladies -- Périodiques; Thorax -- Maladies -- Périodiques; Appareil respiratoire -- Maladies -- Traitement -- Périodiques; Electronic journals; 616.2
• DOI: 10.1016/j.rmed.2021.106543
• Languages: English
• ISSNs: 0954-6111

Abstract

Abstract: Background: Actigraphy can provide useful patient-centered outcomes for quantification of physical activity in the "real-world" setting. Methods: To characterize the relationship of actigraphy outputs with "in-laboratory" measures of cardiopulmonary function and respiratory symptoms in pre-COPD, we obtained actigraphy data for 8 h/day for 5 consecutive days a week before in-laboratory administration of respiratory questionnaires, PFT, and CPET to a subgroup of subjects participating in the larger study of the health effects of exposure to secondhand tobacco smoke who had air trapping but no spirometric obstruction (pre-COPD). Using machine learning approaches, we identified the most relevant actigraphy predictors and examined their associations with symptoms, lung function, and exercise outcomes. Results: Sixty-one subjects (age = 66±7 years; BMI = 24±3 kg/m 2 ; FEV1 /FVC = 0.75 ± 0.05; FEV1 = 103 ± 17 %predicted) completed the nested study. In the hierarchical cluster analysis, the activity, distance, and energy domains of actigraphy, including moderate to vigorous physical activity, were closely correlated with each other, but were only loosely associated with spirometric and peak exercise measures of oxygen consumption, ventilation, oxygen-pulse, and anaerobic threshold (VO2AT ), and were divergent from symptom measures. Conversely, the sedentary domain clustered with respiratory symptoms, air trapping, airflow indices, and ventilatory efficiency. In Regression modeling, sedentary domain was inversely associated with baseline lung volumes and tidal breathing at peak exercise, while the activity domains were associated with VO2AT . Respiratory symptoms and PFT data were not associated with actigraphy outcomes. Discussion: Outpatient actigraphy can provide information for "real-world" patient-centered outcomes that are not captured by standardized respiratory questionnaires, lung function, or exercise testing. Actigraphy activity and sedentary domains inform of distinct outcomes. Graphical abstract: Image 1 Highlights: Actigraphy provides objective data on daily physical activity and functional status. In pre-COPD, actigraphy best represents functional status rather than capacity. Activity vs. sedentary domains of actigraphy inform of distinct, divergent outcomes. Actigraphy could serve as an objective patient-centered outcome for clinical trials.