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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| COViage | Machine learning intervention |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| COViage | Device | The COViage machine learning algorithm is designed to predict mortality in COVID-19, pneumonia and mechanically ventilated ICU patients. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Mortality outcome in COVID-19 ICU patients | Deceased or not deceased | Through study completion, an average of 2 months |
| Mortality outcome in mechanically ventilated ICU patients | Deceased or not deceased | Through study completion, an average of 2 months |
| Mortality outcome in pneumonia ICU patients | Deceased or not deceased | Through study completion, an average of 2 months |
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Inclusion Criteria:
Exclusion Criteria:
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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.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dascena | Oakland | California | 94612-2603 | United States |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D011014 | Pneumonia |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D014777 | Virus Diseases |
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| D018352 |
| Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |