Status:
COMPLETED
Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning
Lead Sponsor:
Dascena
Conditions:
COVID-19
Coronavirus
Eligibility:
All Genders
Phase:
NA
Brief Summary
The purpose of this study was to assess the performance of a machine learning algorithm which identifies patients for whom hydroxychloroquine treatment is associated with predicted survival.
Detailed Description
In a multi-center pragmatic clinical trial, COVID-19 positive patients admitted to 6 United States medical centers were enrolled between March 10 and June 4, 2020. A machine learning algorithm was use...
Eligibility Criteria
Inclusion
- Patient admitted to covered ward and tested positive for COVID-19
- Patient had COViage applied to electronic health record data within four hours of COVID-19 test
Exclusion
- Patient not admitted to covered ward or tested negative for COVID-19
- Patient had COViage applied to electronic health record data greater than four hours after COVID-19 test
Key Trial Info
Start Date :
March 10 2020
Trial Type :
INTERVENTIONAL
Allocation :
ACTUAL
End Date :
June 4 2020
Estimated Enrollment :
290 Patients enrolled
Trial Details
Trial ID
NCT04423991
Start Date
March 10 2020
End Date
June 4 2020
Last Update
June 9 2020
Active Locations (1)
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1
Dascena
Oakland, California, United States, 94612