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

Shanghai Jiao Tong University

Status: Enrolling

Conditions: Algorithm; Cough; COPD

Study type: Observational

Funder types: Other

Identifiers

NCT06082791

2023-199

Details and patient eligibility

About

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.

Enrollment: 500 estimated patients

Sex: All

Ages: 40+ years old

Volunteers: Accepts Healthy Volunteers

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.

Trial design

500 participants in 3 patient groups

COPD

other respiratory disease without COPD

healthy people without respiratory disease