Build a Decision Aid Tool to Help Emergency Intensive Care Specialists in the Context of Hypoxic Ischemic Encephalopathy

NCT ID: NCT05114070

Last Updated: 2024-02-05

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

COMPLETED

Total Enrollment

106 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-09-08

Study Completion Date

2023-09-08

Brief Summary

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The project aims at designing a machine learning solution able to recognize characteristics signals patterns of brain damages in full term babies born within a context of Hypoxic Ischemic Encephalopathy (HIE)

Detailed Description

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Retrospective study based on a digital EEG signal library intending to design, train and test an efficient AI solution for hypothermia protocol start indications.

The output of the Project is to make available to pediatric resuscitation units an adequate tool to guide them in the decision of hypothermia protocol start in a general context of neurophysiologist competence scarcity. EEG signal that would allow the algorithm design will be based on several parameters of the conventional EEG and not only on signal amplitude

Conditions

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Encephalopathy

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

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Decision of hypothermia

Decision of hypothermia thanks to EEG signal

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Full term (\> 36 weeks)
* HIE context
* EEG recording before 6 hours of life

Exclusion Criteria

-Opposition of parental authority holders of a patient born after 2015
Maximum Eligible Age

2 Days

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Assistance Publique - Hôpitaux de Paris

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Hôpital TROUSSEAU

Paris, , France

Site Status

Countries

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France

Other Identifiers

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APHP 210070

Identifier Type: -

Identifier Source: org_study_id

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