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

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.

Completed

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Key information

Conditions

COVID-19 Coronaviridae Infections Coronavirus Coronavirus Infections Infections Lung Diseases Mortality Nidovirales Infections Pneumonia Pneumonia, Viral RNA Virus Infections Respiratory Tract Diseases Respiratory Tract Infections Virus Diseases

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Dascena

Oakland, California, 94612, United States

About this study

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 used to determine which patients were suitable for treatment with hydroxychloroquine.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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 criteria

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

Treatment and study plan

COViage

Device

Machine learning intervention

Primary outcomes

Mortality outcome

Time frame: Through study completion, an average of 3 months

Time to in-hospital death

Sponsors and collaborators

Lead sponsor

Dascena

Industry

Registry information

Official study title

Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning: the IDENTIFY Trial

Acronym: IDENTIFY

Important dates

Study start: 2020
Primary completion: 2020
Study completion: 2020
First posted: Jun 9, 2020
Registry last updated: Jun 9, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed