Predictive Analytics in Lower Respiratory Tract Infections (VA-LRTIs) (PA in VA-LRTIs)

University of Oulu

Status: Unknown

Conditions: Ventilator-Associated Event

Treatments: Other: Diagnostic and prognostic models for VA-LRTIs

Study type: Observational

Funder types: Other

Identifiers

NCT04727957

University of Oulu

Details and patient eligibility

About

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.

Enrollment: 30,000 estimated patients

Sex: All

Ages: 16 to 100 years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

All invasively ventilated ICU patient (aged 18 or over)

Trial design

30,000 participants in 2 patient groups

Dataset for development and testing

Treatment:

Other: Diagnostic and prognostic models for VA-LRTIs

Dataset for external validation

Treatment:

Other: Diagnostic and prognostic models for VA-LRTIs