Clinical trials

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Condition / disease
Location
Status: Recruiting

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

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.

Participants needed: 365
Trial details
Age: 40-85Biological sex: AllType: ObservationalSponsor: Li AnUpdated: Jan 10, 2024Locations: 1Duration: 1 Year
Eligibility criteria

Patients who meet the diagnostic criteria for COPD of the global initiative for... [+4]

Asthma, active pulmonary tuberculosis, interstitial pneumonia and severe Bronchi... [+6]