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

NCT ID: NCT04727957

Last Updated: 2021-04-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

30000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-06-01

Study Completion Date

2021-12-31

Brief Summary

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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.

Detailed Description

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Conditions

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Ventilator-Associated Event

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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Dataset for development and testing

Diagnostic and prognostic models for VA-LRTIs

Intervention Type OTHER

Diagnostic and prognostic models for VA-LRTIs

Dataset for external validation

Diagnostic and prognostic models for VA-LRTIs

Intervention Type OTHER

Diagnostic and prognostic models for VA-LRTIs

Interventions

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Diagnostic and prognostic models for VA-LRTIs

Diagnostic and prognostic models for VA-LRTIs

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

All invasively ventilated ICU patient (aged 18 or over)
Minimum Eligible Age

16 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Oulu

OTHER

Sponsor Role lead

Responsible Party

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Miia M Jansson, PhD

Adjunct Professor, PhD

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Univeristy of Oulu

Oulu, , Finland

Site Status

Countries

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Finland

Central Contacts

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Miia Jansson, PhD

Role: CONTACT

+358 50 470 12 62

Facility Contacts

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Miia Jansson, PhD

Role: primary

Other Identifiers

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University of Oulu

Identifier Type: -

Identifier Source: org_study_id

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