RecruitingNCT05825014

Predicting Adverse Outcomes Using Machine Learning of COPD Patients in Hong Kong

Sponsor

Chinese University of Hong Kong

Enrollment

100,000 participants

Start Date

Aug 29, 2023

Study Type

OBSERVATIONAL

Conditions

COPD Exacerbation

Summary

This study aims to develop predictive models for patients with a diagnosis of COPD at discharge of an index admission on these outcomes using machine learning: Primary outcome: Early admission Secondary outcomes: 1. Frequent readmission 2. Composite outcome (Early + Frequent readmissions) 3. Mortality 4. Longstayers

Eligibility

Min Age: 40 Years

Plain Language Summary

Simplified for easier understanding

This is an observational research study — not a treatment trial — that uses machine learning (a type of artificial intelligence) to analyze health records from COPD (chronic obstructive pulmonary disease) patients in Hong Kong to predict who is at risk of serious complications. **You may be eligible if...** - You are 40 years of age or older - You were discharged from a hospital in Hong Kong between 2016 and 2022 with a COPD diagnosis - Your COPD is confirmed either by your discharge diagnosis or by breathing test results showing airflow obstruction (FEV1/FVC ratio below 0.7) **You may NOT be eligible if...** - Your hospital admission was for a reason other than COPD Note: This is a records-based study, so participation typically involves reviewing existing medical data rather than coming in for visits. 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.