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

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

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.

Inclusion Criteria:

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

Exclusion Criteria:

• Patients aged less than 18 years