Working…
COVID-19 is an emerging, rapidly evolving situation.
Get the latest public health information from CDC: https://www.coronavirus.gov.

Get the latest research information from NIH: https://www.nih.gov/coronavirus.
ClinicalTrials.gov
ClinicalTrials.gov Menu

COVID-19 Mortality Prediction Model

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT04358510
Recruitment Status : Completed
First Posted : April 24, 2020
Last Update Posted : April 24, 2020
Sponsor:
Information provided by (Responsible Party):
Dascena

Brief Summary:
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.

Condition or disease Intervention/treatment
COVID-19 Pneumonia Mechanical Ventilation Device: COViage

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.

Layout table for study information
Study Type : Observational
Actual Enrollment : 114 participants
Observational Model: Cohort
Time Perspective: Retrospective
Official Title: Mortality Prediction Model for the Triage of COVID-19, Pneumonia and Mechanically Ventilated ICU Patients
Actual Study Start Date : April 1, 2020
Actual Primary Completion Date : April 17, 2020
Actual Study Completion Date : April 17, 2020

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Pneumonia

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




Primary Outcome Measures :
  1. Mortality outcome in COVID-19 ICU patients [ Time Frame: Through study completion, an average of 2 months ]
    Deceased or not deceased

  2. Mortality outcome in mechanically ventilated ICU patients [ Time Frame: Through study completion, an average of 2 months ]
    Deceased or not deceased

  3. Mortality outcome in pneumonia ICU patients [ Time Frame: Through study completion, an average of 2 months ]
    Deceased or not deceased



Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.


Layout table for eligibility information
Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
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.
Criteria

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.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04358510


Locations
Layout table for location information
United States, California
Dascena
Oakland, California, United States, 94612-2603
Sponsors and Collaborators
Dascena
Additional Information:
Layout table for additonal information
Responsible Party: Dascena
ClinicalTrials.gov Identifier: NCT04358510    
Other Study ID Numbers: 04202001
First Posted: April 24, 2020    Key Record Dates
Last Update Posted: April 24, 2020
Last Verified: April 2020
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: Undecided

Layout table for additional information
Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Dascena:
machine learning
COVID-19
mortality
prediction
pneumonia
mechanical ventilation
Additional relevant MeSH terms:
Layout table for MeSH terms
Pneumonia
Lung Diseases
Respiratory Tract Diseases
Respiratory Tract Infections