MedTrace Logo

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

NCT04390516 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 197

Last updated 2020-06-12

No results posted yet for this study

Summary

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

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.

Sponsors & Collaborators

  • Dascena

    lead INDUSTRY

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-03-24
Primary Completion
2020-05-04
Completion
2020-05-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04390516 on ClinicalTrials.gov