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
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Li An
- Phone Number: CHN+13681133265
- Email: bjzy818@sina.com
Study Locations
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Beijing
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Beijing, Beijing, China, 100000
- Recruiting
- Beijing Chaoyang Hospital Affiliated to Capital Medical University
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Contact:
- Li An, doctorate
- Phone Number: CHN+13681133265
- Email: bjzy818@sina.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 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
Exclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
|---|
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Frequent exacerbation of COPD
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Non-frequent exacerbation of COPD
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Evaluate the predictive performance of the COPD frequent seizure risk prediction model based on the area under the ROC curve.
Time Frame: A year
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According to the Area Under Curve (AUC) of ROC, the largest one has the best predictive performance.
When AUC>0.5, the closer it is to 1, the better the predictive performance of the model.
When AUC=0.5, it indicates poor model fitting and no potential predictive value.
|
A year
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- al123456
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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