NCT06082791

A Clinical Validation Study to Evaluate the Diagnostic Accuracy of a Cough-based Auxiliary Diagnosis Algorithm for COPD

A Clinical Validation Study to Evaluate the Diagnostic Accuracy of a Cough-based Auxiliary Diagnosis Algorithm for Chronic Obstructive Pulmonary Disease (COPD)

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 500 (estimated)
• Sponsor: Ruijin Hospital · Academic / Other
• Sex: All
• Age: 40 Years
• Healthy volunteers: Accepted

Summary

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.

Conditions

• COPD
• Cough
• Algorithm

Timeline

• Start date: 2023-07-01
• Primary completion: 2023-12-30
• Completion: 2024-12-30
• First posted: 2023-10-13
• Last updated: 2023-10-13

Locations

1 site across 1 country: China