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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT04989452
Other study ID # 21002
Secondary ID
Status Active, not recruiting
Phase
First received
Last updated
Start date August 10, 2021
Est. completion date April 30, 2023

Study information

Verified date March 2023
Source ResApp Health Limited
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Decentralized clinical study designed to collect further cough sounds, self-reported symptoms, and medical treatment questionnaires from participants enrolled on the COVID-Cough Study ("Study 1"). The aim of this further data collection study ("Study 2") is to: 1. develop an understanding of changes in cough sounds associated with COVID-19 and how they alter during the disease; 2. develop an understanding of other causes of COVID-19-like symptoms and their associated cough sound patterns; and 3. gain a broader understanding of the clinical outcomes of individuals who present for COVID-19 testing.


Description:

This study is designed to be administered in a decentralized manner to collect self-reported COVID-19 symptoms, cough sample recordings and descriptions of recent medical treatment to investigate the following: 1. Whether patterns unique to COVID-19 disease can be detected in cough sounds collected over time; 2. The incidence of COVID-19 and other lung diseases within individuals who test negative for COVID-19; 3. Whether existing machine learning algorithms can detect the presence of disease in the lower respiratory tract in participants; and 4. Whether distinct cough sound patterns in COVID-19 disease are associated with the requirement of medical treatment for COVID-19 disease. Through the administration of Study 1, a list of potential participants will be created for whom the result of a recent rt-qPCR COVID-19 test is known. Participants have been consented to allow for outreach regarding further studies. Cough samples and answers to medical questions have been collected from these individuals at the time of testing, and the aim of Study 2 is to gather further cough samples and questionnaire answers over a period of 25 days.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 100
Est. completion date April 30, 2023
Est. primary completion date April 30, 2023
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 21 Years and older
Eligibility Inclusion Criteria: - be aged 21 years and older; - be a resident of the USA; - have a personal (i.e., not shared) iPhone 6s or newer running iOS 14 or later; - be able to read and understand English; - be able to provide informed consent; - be willing to follow study procedures; - be able to provide at least 5 coughs (voluntary and/or spontaneous); - have enrolled in the COVID-Cough Study and successfully returned an at-home rt-qPCR test to the study partner laboratory Exclusion Criteria: Participant has one or more medical contraindication to voluntary cough, including the following: - Severe respiratory distress; - History of pneumothorax; - Eye, chest, or abdominal surgery within 3 months of enrolling for the study; or - Hemoptysis (coughing up of blood) within 1 month of enrolling for the study;

Study Design


Related Conditions & MeSH terms


Intervention

Diagnostic Test:
Recordings of cough sounds from adults
Smartphone recordings of the cough sounds of participants who enrol in the study and obtain a COVID-19 rt-qPCR result.

Locations

Country Name City State
United States Strategy Health LLC New York New York

Sponsors (1)

Lead Sponsor Collaborator
ResApp Health Limited

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary Collection of cough sound audio recordings made using a smartphone, self-reported respiratory symptoms, COVID-19 rt-qPCR result and medical treatment information on 3 occasions (day 1, day 10, day 25). 6 months
Primary Sensitivity and specificity of using cough sound analysis on longitudinal cough sounds to detect COVID-19 as compared to rt-qPCR test. 10 months
Primary Sensitivity and specificity of longitudinal cough sounds to detect whether study participants have required recent medical care for COVID-19 related illness. 10 months
Secondary Confusion matrix outputs of cough sound algorithm prediction of COVID-19 severity compared against COVID-19 severity measured by a combination of medical history survey and rt-qPCR test. 10 months
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