Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning

Completed · Not applicable

Conditions studied: COVID-19, Coronavirus, Mortality

In brief

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.

Key facts

Study ID

NCT04423991

Run by

Dascena

People needed

290

Starts

2020-03-10

Expected to finish

2020-06-04

Last updated by the study team

2020-06-09

Who can join

Age: any. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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

You may not qualify if…

• 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

Where it is running

• Dascena — Oakland, California, United States

Full record on ClinicalTrials.gov

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