RecruitingNCT06198309

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

A Risk-predictive Model for Frequent Acute Exacerbation Phenotype in Patients With Severe Chronic Obstructive Pulmonary Disease

Sponsor

Li An

Enrollment

365 participants

Start Date

May 1, 2023

Study Type

OBSERVATIONAL

Conditions

Chronic Obstructive Pulmonary Disease Severe

Summary

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.

Eligibility

Min Age: 40 YearsMax Age: 85 Years

Plain Language Summary

Simplified for easier understanding

This study builds a model to predict which patients with severe chronic obstructive pulmonary disease (COPD) are at the highest risk of having frequent and severe flare-ups (exacerbations). Better prediction tools could help doctors intervene earlier and prevent hospitalizations. **You may be eligible if...** - You are over 40 years old - You have been diagnosed with severe COPD (GOLD Grade III or IV, meaning your lung function is significantly reduced) - Your COPD has been stable for at least 4 weeks - You have not used short-acting bronchodilators in the past 24 hours or long-acting ones in the past 48 hours before testing **You may NOT be eligible if...** - Your COPD is mild or moderate - You have had a flare-up within the past 4 weeks - You recently used oral steroids or bronchodilators Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

Interested in this trial?

Get notified about updates and connect with the research team.