COPD Clinical Trial
Official title:
A Clinical Validation Study to Evaluate the Diagnostic Accuracy of a Cough-based Auxiliary Diagnosis Algorithm for Chronic Obstructive Pulmonary Disease (COPD)
NCT number | NCT06082791 |
Other study ID # | 2023-199 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | July 1, 2023 |
Est. completion date | December 30, 2024 |
Cough is one of the most common symptoms in COPD patients, and its different characteristics in amplitude, frequency and waveform can be analyzed by intelligent algorithms for the auxiliary diagnosis of COPD. The current study is to conduct external clinical validation of COPD auxiliary diagnosis algorithm and lung function prediction algorithm, and preliminatively verify the performance of the algorithm, with the ultimate goal of developing a portable and rapid COPD auxiliary diagnosis and condition assessment tool that can be used at home.
Status | Recruiting |
Enrollment | 500 |
Est. completion date | December 30, 2024 |
Est. primary completion date | December 30, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 40 Years and older |
Eligibility | Inclusion Criteria: - patients with stable COPD were recruited for this study. Inclusion criteria were age =40 years and a diagnosis of COPD Exclusion Criteria: - Exclusion criteria were acute exacerbations of respiratory symptoms within the past 2 weeks or significant comorbid cardiovascular, neurological, musculoskeletal, immunological, or infectious diseases. |
Country | Name | City | State |
---|---|---|---|
China | Ruijin Hospital, Shanghai Jiao Tong University School of Medicine | Shanghai | Shanghai |
Lead Sponsor | Collaborator |
---|---|
Ruijin Hospital |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Positive Agreement Rate (PPA) | Positive Agreement Rate (PPA) of auxiliary Diagnosis Algorithm for COPD | 12.30.2024 |
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