Risk Prediction Model for Exacerbating Phenotype in Patients With Chronic Obstructive Pulmonary Disease

Recruiting now

Conditions studied: Chronic Obstructive Pulmonary Disease Severe

In brief

This study is planned to be conducted based on the cohort of patients with severe chronic obstructive pulmonary disease in our hospital. Based on gut microbiota, random forest was used to search for potential diagnostic biomarkers in patients with frequent acute exacerbation and controls with non frequent acute exacerbation; Construct a frequent acute exacerbation risk prediction model using random forest, support vector machine, and BP neural network models. The development of this study will provide valuable references for the clinical classification and prognosis evaluation of chronic obstructive pulmonary disease (COPD), and improve the health level of COPD patients by further searching for treatable targets.

Key facts

Study ID

NCT06198309

Run by

Li An

People needed

365

Starts

2023-05-01

Expected to finish

2027-12-01

Last updated by the study team

2024-01-10

Who can join

Age: 40 and older, up to 85. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients who meet the diagnostic criteria for COPD of the global initiative for chronic obstructive lung diseases (GOLD 2022) and GOLD grading Ⅲ - Ⅳ (FEV1/FVC\<70%, FEV1% predicted value ≤ 50% after Bronchiectasis)
• Age\>40 years old
• COPD stable for more than 4 weeks
• Short acting Bronchiectasis was not used within 24 hours before this experiment, long acting Bronchiectasis was not used within 48 hours, and glucocorticoids were not used throughout the body in the past month
• Patient informed and signed consent form

You may not qualify if…

• Asthma, active pulmonary tuberculosis, interstitial pneumonia and severe Bronchiectasis
• Complicated with serious diseases (acute infection, diabetes, stroke, heart disease, liver and kidney dysfunction, cancer or autoimmune disease)
• History of chronic diarrhea or constipation
• History of Gastrointestinal Surgery
• Using probiotics or antibiotics within the past 4 weeks
• No history of using oral hormones or traditional Chinese medicine in the past three months
• Pregnancy or lactation

Where it is running

• Beijing Chaoyang Hospital Affiliated to Capital Medical University — Beijing, Beijing Municipality, China (enrolling)

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.