Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Breathe BioMedical Inc | INDUSTRY |
Not provided
Not provided
Not provided
Not provided
To analyze Volatile Organic Compounds (VOCs) in the breath of patients with SARS-CoV-2 and controls in SARS-CoV-2 breath specimens.
The study is a prospective cohort study, which enrol patients presenting to hospital and are tested for SARS-CoV-2. There will be two cohorts, COVID-19 positive and COVID-19 negative, who will have exhaled breath collection and analysis by infrared spectroscopy to characterize the composition of VOCs and identify differences in VOC profiles between the two groups.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| SARS-CoV-2 Positive | Clinically tested for SARS-CoV-2 (as completed by standard laboratory testing e.g. RT-PCR) and with a positive result and clinical features in keeping with COVID-19 illness. The investigators aim to collect breath samples within 7 days of symptom onset in 50% of Covid positive patients, with the remaining patients breath samples collected after 7 days of symptoms onset. | ||
| SARS-CoV-2 Negative | Patients with a negative RT-PCR COVID-19 test and without any clinical features to suggest COVID-19 illness. |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Breath VOCs in covid positive and negative patients. | To examine Volatile Organic Compounds (VOCs) by infrared spectroscopy in the breath of patients with SARS-CoV-2 and controls to determine if VOCs within a breath sample can differentiate Covid-19 positive from Covid-19 negative patients. | Through study completion, an average of 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Effect of time of symptom onset on VOCs in Covid-19 positive patients | To examine the effect of time of symptom onset on VOCs in the breath of Covid-19 positive patients. The investigators aim to collect breath samples within 7 days of symptom onset in 50% of Covid positive patients, with the remaining patients breath samples collected after 7 days of symptoms onset. | Through study completion, an average of 1 year |
Not provided
Inclusion Criteria for Covid-19 positive patients:
Inclusion criteria for Covid-19 negative patients:
Exclusion Criteria for Covid-19 positive and negative patients:
- Unable to provide a breath sample
Not provided
Not provided
Not provided
Hospitalized patients
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Gail Gauvreau, PhD | Contact | 9055259140 | 22791 | gauvreau@mcmaster.ca |
| Name | Affiliation | Role |
|---|---|---|
| Mylinh Duong, MD | McMaster University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hamilton Health Sciences | Recruiting | Hamilton | Ontario | L8L 0A4 | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38382095 | Derived | Cusack RP, Larracy R, Morrell CB, Ranjbar M, Le Roux J, Whetstone CE, Boudreau M, Poitras PF, Srinathan T, Cheng E, Howie K, Obminski C, O'Shea T, Kruisselbrink RJ, Ho T, Scheme E, Graham S, Beydaghyan G, Gavreau GM, Duong M. Machine learning enabled detection of COVID-19 pneumonia using exhaled breath analysis: a proof-of-concept study. J Breath Res. 2024 Mar 13;18(2). doi: 10.1088/1752-7163/ad2b6e. |
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
Not provided
Not provided
Not provided
Not provided
Not provided
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |