Cough Sound Recordings to Understand COVID-19-like Symptom Progression to Understand COVID-19-like Symptom Progression
Study Details
Study Description
Brief 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:
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develop an understanding of changes in cough sounds associated with COVID-19 and how they alter during the disease;
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develop an understanding of other causes of COVID-19-like symptoms and their associated cough sound patterns; and
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gain a broader understanding of the clinical outcomes of individuals who present for COVID-19 testing.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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Detailed 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:
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Whether patterns unique to COVID-19 disease can be detected in cough sounds collected over time;
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The incidence of COVID-19 and other lung diseases within individuals who test negative for COVID-19;
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Whether existing machine learning algorithms can detect the presence of disease in the lower respiratory tract in participants; and
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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.
Study Design
Outcome Measures
Primary Outcome Measures
- 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]
- Sensitivity and specificity of using cough sound analysis on longitudinal cough sounds to detect COVID-19 as compared to rt-qPCR test. [10 months]
- 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 Outcome Measures
- 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]
Eligibility Criteria
Criteria
Inclusion Criteria:
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be aged 21 years and older;
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be a resident of the USA;
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have a personal (i.e., not shared) iPhone 6s or newer running iOS 14 or later;
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be able to read and understand English;
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be able to provide informed consent;
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be willing to follow study procedures;
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be able to provide at least 5 coughs (voluntary and/or spontaneous);
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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:
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Severe respiratory distress;
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History of pneumothorax;
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Eye, chest, or abdominal surgery within 3 months of enrolling for the study; or
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Hemoptysis (coughing up of blood) within 1 month of enrolling for the study;
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Strategy Health LLC | New York | New York | United States | 10024 |
Sponsors and Collaborators
- ResApp Health Limited
Investigators
- Principal Investigator: Shrawan Patel, MBBS,BSc, Strategy Health
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 21002