Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence (PREDICT-CE)

Last updated: August 13, 2024
Sponsor: University Hospital, Brest
Overall Status: Active - Recruiting

Phase

N/A

Condition

Vascular Diseases

Stress

Circulation Disorders

Treatment

N/A

Clinical Study ID

NCT06555900
29BRC20.0293 - PREDICT-CE
  • Ages 18-99
  • All Genders

Study Summary

The investigators wish to build up a database of clinical data and physiological signals with a view to developing a predictive algorithm based on continuous analysis of the intracranial pressure waveform and other parameters commonly used in intensive care to predict the occurrence of an episode of intracranial hypertension (HTIC). This algorithm will be designed using supervised learning statistical methods based on innovative statistical analysis methods (artificial intelligence). These methods are classically used to exploit massive data such as sensor data.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • More than 18 years

  • admission to intensive care for less than 3 days for a neurological lesion

  • Sensor placement for intracranial pressure monitoring

Exclusion

Exclusion Criteria:

  • patient under judicial protection

  • refusal to participate

  • patients under 18 years of age

Study Design

Total Participants: 500
Study Start date:
December 17, 2020
Estimated Completion Date:
June 30, 2025

Connect with a study center

  • CHU de Brest

    Brest, 29609
    France

    Active - Recruiting

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