NCT04390516

Respiratory Decompensation and Model for the Triage of COVID-19 Patients

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

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 197 (actual)
• Sponsor: Dascena · Industry
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• COVID-19
• Coronavirus
• Mortality
• Mechanical Ventilation

Interventions

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

Timeline

• Start date: 2020-03-24
• Primary completion: 2020-05-04
• Completion: 2020-05-30
• First posted: 2020-05-15
• Last updated: 2020-06-12

Locations

1 site across 1 country: United States