Using machine learning to predict outcomes for COPD patients in Hong Kong
Predicting Adverse Outcomes Using Machine Learning of COPD Patients in Hong Kong
This study is trying to use computer technology to predict which COPD patients in Hong Kong might need to go back to the hospital soon after being discharged, so they can get better care.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 100000 (estimated) |
| Ages | 40 Years and up |
| Sex | All |
| Sponsor | Chinese University of Hong Kong Academic / other |
| Locations | 1 site (Hong Kong, New Territories) |
| Trial ID | NCT05825014 on ClinicalTrials.gov |
What this trial studies
This observational study aims to develop predictive models for patients diagnosed with chronic obstructive pulmonary disease (COPD) at the time of discharge from hospital admissions in Hong Kong. By utilizing machine learning techniques, the study will focus on predicting early admissions, frequent readmissions, mortality, and long hospital stays among COPD patients. The research will analyze data from COPD admissions between 2016 and 2022, leveraging spirometry results to validate diagnoses. The ultimate goal is to identify key factors that contribute to hospital readmissions and improve health outcomes for COPD patients.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals aged 40 and older who have been diagnosed with COPD and discharged from the hospital between 2016 and 2022.
Not a fit: Patients whose admissions were due to causes other than COPD will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved management strategies for COPD patients, potentially reducing hospital readmissions and mortality rates.
How similar studies have performed: Other studies utilizing machine learning for predicting outcomes in COPD patients have shown promise, indicating that this approach may be effective.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * ≥40 years * Patients are discharged from 2016 -2022 * Discharge Diagnosis: Using the Discharge Diagnosis ICD Codes found in the Primary Diagnosis to determine if a patient has COPD * Validated against Spirometry results (for patient with a spirometry reading): Spirometry reading taken from anytime point before. Patient should have Post FEV1/FVC ratio of \< 0.7 in any one of the spirometry readings. If Post FEV1/FVC is not available, we will check if patients have a Pre FEV1/FVC value, and will also include patients with Pre FEV1/FVC ratio of \< 0.7 in any one of the spirometry readings. Exclusion Criteria: * Admission diagnosis due to causes other than COPD
Where this trial is running
Hong Kong, New Territories
- The Chinese University of Hong Kong — Hong Kong, New Territories, Hong Kong (Recruiting)
Study contacts
- Study coordinator: Fanny Ko, MD
- Email: fannyko@cuhk.edu.hk
- Phone: 35053133
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.