Trials / Unknown
UnknownNCT04727957
Predictive Analytics in Lower Respiratory Tract Infections (VA-LRTIs)
Predictive Analytics in Ventilator-Associated Events
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 30,000 (estimated)
- Sponsor
- University of Oulu · Academic / Other
- Sex
- All
- Age
- 16 Years – 100 Years
- Healthy volunteers
- Accepted
Summary
To determine the accuracy and generalizability of VA-LRTI algorithm to detect and predict three high-incidence and high-impact VAEs from electronic health records data: 1) ventilator-associated event, 2) ventilator-associated pneumonia, and 3) ventilator-associated tracheobronchitis.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Diagnostic and prognostic models for VA-LRTIs | Diagnostic and prognostic models for VA-LRTIs |
Timeline
- Start date
- 2021-06-01
- Primary completion
- 2021-12-31
- Completion
- 2021-12-31
- First posted
- 2021-01-27
- Last updated
- 2021-04-15
Locations
1 site across 1 country: Finland
Source: ClinicalTrials.gov record NCT04727957. Inclusion in this directory is not an endorsement.