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

Predictive Analytics in Ventilator-Associated Events

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04727957

Acronym

PA in VA-LRTIs

Enrollment

30000

Registered

2021-01-27

Start date

2021-06-01

Completion date

2021-12-31

Last updated

2021-04-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ventilator-Associated Event

Brief 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.

Interventions

OTHERDiagnostic and prognostic models for VA-LRTIs

Diagnostic and prognostic models for VA-LRTIs

Study design

Observational model

CASE_CONTROL

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

16 Years to 100 Years

Healthy volunteers

Yes

Inclusion criteria

All invasively ventilated ICU patient (aged 18 or over)

Design outcomes

Primary

Measure	Time frame	Description
Number of participants with VA-LRTI as assessed by risk-calculator	1.6.-31.12.2021	Prediction model to be used at the moment of diagnosis and algorithms to be used prior IMV to predict the risk of VA-LRTI.

Secondary

Measure	Time frame	Description
Rate of in-hospital mortality	1.6.-31.12.2021	Prediction model to be used at the moment of diagnosis to predict the risk of mortality in VA-LRTIs.

Countries

Finland

Contacts

Primary ContactMiia Jansson, PhD

miia.jansson@oulu.fi+358 50 470 12 62

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026