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Personalized Prediction Strategy for Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Establishment of Individualized Prediction System for Acute Exacerbation of Chronic Obstructive Pulmonary Disease Based on Cloud Platform

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03240315
Enrollment
442
Registered
2017-08-07
Start date
2016-08-01
Completion date
2026-12-30
Last updated
2026-01-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pulmonary Disease, Chronic Obstructive

Brief 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.

Interventions

None listed

Sponsors

The First Affiliated Hospital of Guangzhou Medical University
CollaboratorOTHER
Guangzhou Science and Technology Innovation Commission,China
CollaboratorUNKNOWN
Guangzhou Institute of Respiratory Disease
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
40 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients was diagnosed as COPD according to Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines older than 40 years old. * A signed and dated written informed consent is obtained prior to participation. * Able to comply with the requirements of the protocol and be available for study visits over 3 years.

Exclusion criteria

* A COPD subject will not be eligible for inclusion in this study if any of the following criteria apply: * Known respiratory disorders, or disorders identified at screening/visit 1 (including identification on the first CT scan), other than COPD (e.g.: lung cancer, sarcoidosis, tuberculosis, lung fibrosis, cystic fibrosis) * Known history of significant inflammatory disease, other than COPD (e.g. rheumatoid arthritis and Lupus) * Known to be severely alpha-1-antitrypsin deficient * Has experienced a moderate or severe exacerbation (requiring oral corticosteroid, antibiotics or hospitalisation) within the last 4 weeks * Having undergone lung surgery (e.g. lung reduction, lung transplant) * Have cancer or have had cancer in the 5 years prior to study entry * Having received a blood transfusion in the 4 weeks prior to study start * Inability to walk * Taking part in a blinded drug study * Having therapy with systemic corticosteroids at inclusion.

Design outcomes

Primary

MeasureTime frameDescription
Establishment of prediction platform for COPD exacerbation3 yearsThe 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.

Secondary

MeasureTime frameDescription
Developing new protein chips for AECOPD3 yearsSystemic 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.
Detection of immune repertoire in COPD/AECOPD3 yearsImmune status of COPD patients will be investigated by using the immune repertoire technique and its relationship with the pathophysiology of AECOPD will be identified.
Pathogenic microorganism and drug resistance monitoring for COPD exacerbation3 yearsDynamics of pathogenic microorganism and drug resistance in natural course of COPD will be investigated by using the metagenome technique and the culture technique.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 1, 2026