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

Dascena

Status: Completed

Conditions: Mortality; COVID-19; Mechanical Ventilation; Coronavirus

Treatments: Device: COViage

Study type: Interventional

Funder types: Industry

Identifiers

NCT04390516

051420

Details and patient eligibility

About

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

Full 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.

Enrollment: 197 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients aged 18 years or older
• Confirmed COVID-19 infection through RT-PCR test

Exclusion criteria

• Patients aged less than 18 years

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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197 participants in 1 patient group

COViage

Other group

Description:

Machine learning intervention

Treatment:

Device: COViage