Respiratory Decompensation and Model for the Triage of COVID-19 Patients
READY
Prediction Of Respiratory Decompensation In Covid-19 Patients Using Machine Learning: The READY Trial
1 other identifier
interventional
197
1 country
1
Brief Summary
The purpose of this study is to prospectively evaluate a machine learning algorithm for the prediction of outcomes in COVID-19 patients.
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 24, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 4, 2020
CompletedFirst Submitted
Initial submission to the registry
May 14, 2020
CompletedFirst Posted
Study publicly available on registry
May 15, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
May 30, 2020
CompletedJune 12, 2020
June 1, 2020
1 month
May 14, 2020
June 10, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
Mechanically ventilated patient outcome
Ventilated or not ventilated within 24 hours
Through study completion, an average of 2 months
Secondary Outcomes (1)
Mortality or mechanically ventilated patient outcome
Through study completion, an average of 2 months
Study Arms (1)
COViage
OTHERMachine learning intervention
Interventions
The COViage machine learning algorithm is designed to predict mechanical ventilation and mortality within 24 hours after hospital admission.
Eligibility Criteria
You may qualify if:
- Patients aged 18 years or older
- Confirmed COVID-19 infection through RT-PCR test
You may not qualify if:
- Patients aged less than 18 years
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
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 14, 2020
First Posted
May 15, 2020
Study Start
March 24, 2020
Primary Completion
May 4, 2020
Study Completion
May 30, 2020
Last Updated
June 12, 2020
Record last verified: 2020-06