Trials / Completed
CompletedNCT04358510
COVID-19 Mortality Prediction Model
Mortality Prediction Model for the Triage of COVID-19, Pneumonia and Mechanically Ventilated ICU Patients
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 114 (actual)
- Sponsor
- Dascena · Industry
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
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.
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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | COViage | The COViage machine learning algorithm is designed to predict mortality in COVID-19, pneumonia and mechanically ventilated ICU patients. |
Timeline
- Start date
- 2020-04-01
- Primary completion
- 2020-04-17
- Completion
- 2020-04-17
- First posted
- 2020-04-24
- Last updated
- 2020-04-24
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT04358510. Inclusion in this directory is not an endorsement.