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

NCT04727957 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 30000

Last updated 2021-04-15

No results posted yet for this study

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

  • Ventilator-Associated Event

Interventions

OTHER

Diagnostic and prognostic models for VA-LRTIs

Diagnostic and prognostic models for VA-LRTIs

Sponsors & Collaborators

  • University of Oulu

    lead OTHER

Eligibility

Min Age
16 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-06-01
Primary Completion
2021-12-31
Completion
2021-12-31

Countries

  • Finland

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04727957 on ClinicalTrials.gov