Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning
IDENTIFY
1 other identifier
interventional
290
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable covid19
Started Mar 2020
Shorter than P25 for not_applicable covid19
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
Study Start
First participant enrolled
March 10, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 4, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
June 4, 2020
CompletedFirst Submitted
Initial submission to the registry
June 8, 2020
CompletedFirst Posted
Study publicly available on registry
June 9, 2020
CompletedJune 9, 2020
June 1, 2020
3 months
June 8, 2020
June 8, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
Mortality outcome
Time to in-hospital death
Through study completion, an average of 3 months
Study Arms (1)
Exposed group
EXPERIMENTALAll patients were exposed to the algorithm and were characterized as being likely responders to hydroxychloroquine treatment. Treatment decisions regarding the administration of hydroxychloroquine were made independently by care providers.
Interventions
Eligibility Criteria
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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Dascenalead
Study Sites (1)
Dascena
Oakland, California, 94612, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 8, 2020
First Posted
June 9, 2020
Study Start
March 10, 2020
Primary Completion
June 4, 2020
Study Completion
June 4, 2020
Last Updated
June 9, 2020
Record last verified: 2020-06