COVID-19 Mortality Prediction Model

April 21, 2020 updated by: Dascena

Mortality Prediction Model for the Triage of COVID-19, Pneumonia and Mechanically Ventilated ICU Patients

The objective of this study is to develop and evaluate an algorithm which accurately predicts mortality in COVID-19, pneumonia and mechanically ventilated ICU patients.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

Retrospective study of 53,001 total ICU patients, including 9,166 patients with pneumonia and 25,895 mechanically ventilated patients, performed on the MIMIC dataset. The NPH patient dataset includes 114 patients positive for SARS-COV-2 by PCR test.

Study Type

Observational

Enrollment (Actual)

114

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • Oakland, California, United States, 94612-2603
        • Dascena

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Retrospective study of 53,001 total ICU patients, including 9,166 patients with pneumonia and 25,895 mechanically ventilated patients, performed on the MIMIC dataset. The community hospital patient dataset included 114 patients positive for SARS-COV-2 by PCR test.

Description

Inclusion Criteria:

  • Patients aged 18 years or older
  • Record of ICU stay

Exclusion Criteria:

  • Patients aged less than 18 years
  • Patients for which there were no records of raw data or no discharge or death dates.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
COViage
Machine learning intervention
The COViage machine learning algorithm is designed to predict mortality in COVID-19, pneumonia and mechanically ventilated ICU patients.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mortality outcome in COVID-19 ICU patients
Time Frame: Through study completion, an average of 2 months
Deceased or not deceased
Through study completion, an average of 2 months
Mortality outcome in mechanically ventilated ICU patients
Time Frame: Through study completion, an average of 2 months
Deceased or not deceased
Through study completion, an average of 2 months
Mortality outcome in pneumonia ICU patients
Time Frame: Through study completion, an average of 2 months
Deceased or not deceased
Through study completion, an average of 2 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

April 1, 2020

Primary Completion (ACTUAL)

April 17, 2020

Study Completion (ACTUAL)

April 17, 2020

Study Registration Dates

First Submitted

April 20, 2020

First Submitted That Met QC Criteria

April 21, 2020

First Posted (ACTUAL)

April 24, 2020

Study Record Updates

Last Update Posted (ACTUAL)

April 24, 2020

Last Update Submitted That Met QC Criteria

April 21, 2020

Last Verified

April 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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