Cough Sound Recordings to Understand COVID-19-like Symptom Progression to Understand COVID-19-like Symptom Progression
A Pilot Study for the Collection of Vocalized, Individual Digital Cough Sound Recordings to Understand COVID-19-like Symptom Progression
1 other identifier
observational
100
1 country
1
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:
- 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Aug 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 30, 2021
CompletedFirst Posted
Study publicly available on registry
August 4, 2021
CompletedStudy Start
First participant enrolled
August 10, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2023
CompletedMarch 29, 2023
March 1, 2023
1.7 years
July 30, 2021
March 27, 2023
Conditions
Outcome Measures
Primary Outcomes (3)
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 Outcomes (1)
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
Interventions
Smartphone recordings of the cough sounds of participants who enrol in the study and obtain a COVID-19 rt-qPCR result.
Eligibility Criteria
A list of COVID-19 positive and negative participants, and their consent to inform them of this study (and possible future studies) will be created through the administration of Study 1. Using this list of potential study participants we seek to enroll as many participants identified through Study 1 as possible (up to 1,500 individuals). Participants will be aged 21 years and older and will not be excluded based on gender, demographic group, or geographic location within the US.
You may qualify if:
- 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
You may not qualify if:
- 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;
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Strategy Health LLC
New York, New York, 10024, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Shrawan Patel, MBBS,BSc
Strategy Health
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 30, 2021
First Posted
August 4, 2021
Study Start
August 10, 2021
Primary Completion
April 30, 2023
Study Completion
April 30, 2023
Last Updated
March 29, 2023
Record last verified: 2023-03
Data Sharing
- IPD Sharing
- Will not share
No plan to share IPD.