This is a 3-year longitudinal study designed to establish a personalized prediction and prevention system for acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Data will be prospectively collected from patients with chronic obstructive pulmonary disease (COPD) and healthy control participants, including clinical characteristics, pathophysiological parameters, etiological factors, and immunological information. These data will be analyzed using data mining approaches combined with Internet-based technologies.
Study Type
OBSERVATIONAL
Enrollment
442
Guangzhou Institute of Respiratory Health,The First Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, China
Establishment of prediction platform for COPD exacerbation
The patients with chronic obstruction pulmonary disease will be followed up at intervals of 3 months for 3 years by the Modified British Medical Research Council (mMRC) score scale,spirometric analysis, sputum smear,questionnaire and so on. An exacerbation of COPD was diagnosed according to GOLD guidelines. Time to the first acute exacerbation and average number of acute exacerbations per year in COPD subjects will be record.Research of AECOPD Risk factors based on complex network analysis.Identification and validation of COPD exacerbations risk stratification and predictive markers based on data mining.
Time frame: 3 years
Developing new protein chips for AECOPD
Systemic and airway autoantibody profiles and cytokine profiles will be measured using commercial multiplex bead-based assay to screen out a set of ideal AECOPD-related markers.
Time frame: 3 years
Detection of immune repertoire in COPD/AECOPD
Immune status of COPD patients will be investigated by using the immune repertoire technique and its relationship with the pathophysiology of AECOPD will be identified.
Time frame: 3 years
Pathogenic microorganism and drug resistance monitoring for COPD exacerbation
Dynamics of pathogenic microorganism and drug resistance in natural course of COPD will be investigated by using the metagenome technique and the culture technique.
Time frame: 3 years
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.