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Evaluate the Accuracy of a COPD Screening Algorithm Model

NCT06109974 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2024-01-23

No results posted yet for this study

Summary

Chronic obstructive pulmonary disease (COPD) is one of the most common respiratory diseases. Early detection and treatment are critical to prevent the deterioration of COPD. In this study, we have established an algorithm that can detect and infer the severity of COPD from physiological parameters and audio data collected by wearable devices, and in this stage, we aim to evaluate the accuracy of this algorithm.

Conditions

Sponsors & Collaborators

  • Civil Aviation General Hospital

    collaborator OTHER

  • Shichahai Community Health Service Center of Xicheng District Beijing

    collaborator UNKNOWN

  • The Hospital of Changping District Beijing

    collaborator UNKNOWN

  • Baizhifang Community Health Service Center of Xicheng District Beijing

    collaborator UNKNOWN

  • Peking University First Hospital

    lead OTHER

Principal Investigators

  • Guangfa Wang, MD · Peking University First Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-09-13
Primary Completion
2024-01-04
Completion
2024-01-04

Countries

  • China

Study Locations

More Related Trials

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 NCT06109974 on ClinicalTrials.gov