An Artificial Intelligence Model for Intensive Care Length of Stay, Neurological Outcome and Costs Estimation After Cardiopulmonary Resuscitation: a Cohort Study.
NCT ID: NCT07210866
Last Updated: 2025-10-07
Study Results
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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NOT_YET_RECRUITING
5000 participants
OBSERVATIONAL
2025-10-01
2025-12-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Age >18 years patients after successful cardiopulmonary resuscitation observed in reanimation
no physical or medical interventions
Data from patients after successive rescucitaion will be evaluated by machine learning programs.
Interventions
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no physical or medical interventions
Data from patients after successive rescucitaion will be evaluated by machine learning programs.
Eligibility Criteria
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Inclusion Criteria
* successive cardiopulmonary resuscitation
* at least 1 hour long admission to ICU after Return Of Spontaneous Circulation (ROSC)
Exclusion Criteria
* \>80% missing data in patient records
* patients with no ROSC
18 Years
ALL
No
Sponsors
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Bezmialem Vakif University
OTHER
Responsible Party
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Nıgar Kangarlı
Uzman Doctor
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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Nkangarli002
Identifier Type: -
Identifier Source: org_study_id
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