Project 422545
Identification of biomarkers that predict severity of COVID-19 patients
Identification of biomarkers that predict severity of COVID-19 patients
Project Information
| Study Type: | Unclear |
| Research Theme: | Biomedical |
Institution & Funding
| Principal Investigator(s): | Kelvin, David J; Andrew, Melissa K; Kelvin, Alyson A; Marshall, Jean S; McNeil, Shelly A |
| Co-Investigator(s): | Kozak, Robert A; McGeer, Allison J; Mubareka, Samira |
| Institution: | Dalhousie University (Nova Scotia) |
| CIHR Institute: | Infection and Immunity |
| Program: | |
| Peer Review Committee: | Canadian 2019 Novel Coronavirus (2019-nCoV) Rapid Research |
| Competition Year: | 2020 |
| Term: | 2 yrs 0 mth |
Abstract Summary
The outbreak of the new coronavirus in Wuhan, China has infected over 75,000 people and has caused close to 2,000 deaths. One of the major problems with this outbreak is that emergency rooms, hospitals and ICU wards are over whelmed with patients. In an effort to find a test for rapidly determining who should be admitted to the hospital and who should be placed in ICU, we have undertaken an international study to find a set of biomarkers that can be used to help Emergency Room doctors to make decisions on whether a patient will become severe. We have established an international team based in China, Vietnam, Spain, Italy, Mozambique, Sudan, Ethiopia, Egypt, Morocco, Cote D' Ivoire and Canada. This team will examine patients peripheral blood for biomarkers that predict the course of disease as mild or severe. The results of the study will be used to make a device that can be used in any situation and rapidly give results to predict the course of coronavirus infections.
No special research characteristics identified
This project does not include any of the advanced research characteristics tracked in our database.