Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence (PREDICT-CE)
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Creation of a Warehouse of Clinical Data and Physiological Signals at the Patient's Bedside. Basic parameters: 18 years — 99 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- France
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence
Overview
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.
Primary outcome measures
- Creation of a database of clinical data and physiological signals to develop a predictive algorithm based on continuous analysis of the intracranial pressure waveform to predict the occurrence of an episode of intracranial hypertension. [Time frame: 30 minutes]
Secondary outcome measures (1)
- Predict long-term functional outcome using intracranial pressure wave signal modeling and other parameters collected in real time [Time frame: 28 days]
Eligibility criteria
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 criteria
- patient under judicial protection
- refusal to participate
- patients under 18 years of age
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Other
Study locations
France · 1 center
- CHU de Brest — Brest
Identifiers
NCT: NCT06555900 · 29BRC20.0293 - PREDICT-CE