COVID-19 Mortality Prediction Model
Purpose
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.
Conditions
- COVID-19
- Pneumonia
- Mechanical Ventilation
Eligibility
- Eligible Ages
- Over 18 Years
- Eligible Genders
- All
- Accepts Healthy Volunteers
- No
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 Design
- Phase
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Retrospective
Arm Groups
Arm | Description | Assigned Intervention |
---|---|---|
COViage | Machine learning intervention |
|
Recruiting Locations
More Details
- NCT ID
- NCT04358510
- Status
- Completed
- Sponsor
- Dascena
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.