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

NCT06082791 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2023-10-13

No results posted yet for this study

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

Sponsors & Collaborators

  • Ruijin Hospital

    lead OTHER

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-07-01
Primary Completion
2023-12-30
Completion
2024-12-30

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06082791 on ClinicalTrials.gov