Cough Sound Recordings to Understand COVID-19-like Symptom Progression to Understand COVID-19-like Symptom Progression

Study Overview
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Brief Summary
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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: develop an understanding of changes in cough sounds associated with COVID-19 and how they alter during the disease; develop an understanding of other causes of COVID-19-like symptoms and their associated cough sound patterns; and gain a broader understanding of the clinical outcomes of individuals who present for COVID-19 testing.

Detailed Description
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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: Whether patterns unique to COVID-19 disease can be detected in cough sounds collected over time; The incidence of COVID-19 and other lung diseases within individuals who test negative for COVID-19; Whether existing machine learning algorithms can detect the presence of disease in the lower respiratory tract in participants; and 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.

Official Title
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A Pilot Study for the Collection of Vocalized, Individual Digital Cough Sound Recordings to Understand COVID-19-like Symptom Progression

Conditions
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Covid19

Intervention / Treatment
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* Diagnostic Test: Recordings of cough sounds from adults


Participation Criteria
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Eligibility Criteria
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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;

Ages Eligible for Study
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Minimum Age: 21 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Intervention/Treatment |
| --- |
|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.|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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 |