RECRUITINGOBSERVATIONAL
Predicting Adverse Outcomes Using Machine Learning of COPD Patients in Hong Kong
About This Trial
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
Who May Be Eligible (Plain English)
Who May Qualify:
- ≥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.
Who Should NOT Join This Trial:
- Admission diagnosis due to causes other than COPD
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
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
Treatments Being Tested
OTHER
No intervention
No intervention
Locations (1)
The Chinese University of Hong Kong
Hong Kong, New Territories, Hong Kong