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Personalized Prediction Strategy for Acute Exacerbation of Chronic Obstructive Pulmonary Disease
Sponsor: Guangzhou Institute of Respiratory Disease
Summary
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.
Official title: Establishment of Individualized Prediction System for Acute Exacerbation of Chronic Obstructive Pulmonary Disease Based on Cloud Platform
Key Details
Gender
All
Age Range
40 Years - Any
Study Type
OBSERVATIONAL
Enrollment
442
Start Date
2016-08-01
Completion Date
2026-12-30
Last Updated
2026-01-12
Healthy Volunteers
No
Conditions
Locations (1)
Guangzhou Institute of Respiratory Health,The First Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, China