Official Title
Prediction Of Respiratory Decompensation In Covid-19 Patients Using Machine Learning: The READY Trial
Brief Summary

The purpose of this study is to prospectively evaluate a machine learning algorithm for the prediction of outcomes in COVID-19 patients.

Detailed Description

In a multi-center prospective clinical trial, a machine learning algorithm was deployed at
five partner hospitals to analyze live patient data, including blood pressure and Creatinine
levels, to determine the algorithm's ability to predict COVID-19 patient prognosis. The
primary endpoint was mechanical ventilation of study subjects within 24 hours after hospital
admission separate from a decompensation alert related to oxygen levels.

Status
Completed
Conditions
COVID-19
Coronavirus
Mortality
Mechanical Ventilation
Interventions

Device: COViage

The COViage machine learning algorithm is designed to predict mechanical ventilation and mortality within 24 hours after hospital admission.

Eligibility Criteria

Inclusion Criteria:

- Patients aged 18 years or older

- Confirmed COVID-19 infection through RT-PCR test

Exclusion Criteria:

- Patients aged less than 18 years

Eligibility Gender
All
Eligibility Age
Minimum: 18 Years ~ Maximum: N/A
Countries
United States
Locations

Dascena
Oakland, California, United States

Sponsors / Collaborators
Dascena
NCT Number
NCT04390516
MeSH Terms
COVID-19