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

Launched by CHINESE UNIVERSITY OF HONG KONG · Apr 11, 2023

Keywords

ClinConnect Summary

This clinical trial, titled "Predicting Adverse Outcomes Using Machine Learning of COPD Patients in Hong Kong," is looking to improve the care of patients with Chronic Obstructive Pulmonary Disease (COPD). The goal is to use advanced computer technology, known as machine learning, to predict which patients might face challenges after being discharged from the hospital. Specifically, the study will focus on predicting early hospital readmissions, frequent readmissions, overall mortality, and longer hospital stays.

To be eligible for this trial, participants must be at least 40 years old and have been discharged from a hospital between 2016 and 2022 with a diagnosis of COPD, confirmed through specific tests called spirometry. Those whose admission was due to reasons other than COPD will not be included. If you join the study, you will help researchers gather important information that could lead to better predictions and treatments for COPD patients in the future. The trial is currently recruiting participants of all genders.

Gender

ALL

Eligibility 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