Actively Recruiting

Age: 40Years - 85Years
All Genders
NCT06198309

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

Led by Li An · Updated on 2024-01-10

365

Participants Needed

1

Research Sites

239 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

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.

CONDITIONS

Official Title

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

Who Can Participate

Age: 40Years - 85Years
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients diagnosed with COPD according to GOLD 2022 criteria and GOLD grade II or III (FEV1/FVC <70%, FEV1 % predicted ≤ 50% after bronchodilator)
  • Age over 40 years
  • COPD stable for more than 4 weeks
  • No use of short-acting bronchodilators within 24 hours before the study
  • No use of long-acting bronchodilators within 48 hours before the study
  • No systemic glucocorticoid use within the past month
  • Provided informed consent and signed the consent form
Not Eligible

You will not qualify if you...

  • Asthma, active pulmonary tuberculosis, interstitial pneumonia, or severe bronchiectasis
  • Serious conditions such as acute infection, diabetes, stroke, heart disease, liver or kidney dysfunction, cancer, or autoimmune disease
  • History of chronic diarrhea or constipation
  • History of gastrointestinal surgery
  • Use of probiotics or antibiotics within the past 4 weeks
  • Use of oral hormones or traditional Chinese medicine in the past 3 months
  • Pregnancy or breastfeeding

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

Beijing Chaoyang Hospital Affiliated to Capital Medical University

Beijing, Beijing Municipality, China, 100000

Actively Recruiting

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Research Team

L

Li An

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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