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

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06082791

Enrollment

500

Registered

2023-10-13

Start date

2023-07-01

Completion date

2024-12-30

Last updated

2023-10-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Algorithm, COPD, Cough

Brief 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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

40 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* patients with stable COPD were recruited for this study. Inclusion criteria were age ≥40 years and a diagnosis of COPD

Exclusion criteria

Design outcomes

Primary

Measure	Time frame	Description
Positive Agreement Rate (PPA)	12.30.2024	Positive Agreement Rate (PPA) of auxiliary Diagnosis Algorithm for COPD

Countries

China

Contacts

Primary ContactJiemin QU, pHD

15390460355@163.com15390460355

Outcome results