An Artificial Intelligence Model for Intensive Care Length of Stay, Neurological Outcome and Costs Estimation After Cardiopulmonary Resuscitation: a Cohort Study.

Bezmialem Vakif University

Status: Not yet enrolling

Conditions: Neurological Outcome; Length of ICU Stay; Cost Analysis

Treatments: Other: no physical or medical interventions

Study type: Observational

Funder types: Other

Identifiers

NCT07210866

Nkangarli002

Details and patient eligibility

About

The study aims to overview patients registered to Bezmialem Vakıf University Hospital Intensive Care Unit after successive cardiac arrest resuscitation from October 2010 to September 2025. The goal is to determine length of stay in reanimation, neurological clinical outcome and costs of these patients at discharge from the department. All these data is intended to be evaluated by artificial intelligence to evaluate a predictive model.

Enrollment: 5,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• age>18 years
• successive cardiopulmonary resuscitation
• at least 1 hour long admission to ICU after Return Of Spontaneous Circulation (ROSC)

Exclusion criteria

• age < 18 years
• >80% missing data in patient records
• patients with no ROSC

Trial design

5,000 participants in 1 patient group

Age >18 years patients after successful cardiopulmonary resuscitation observed in reanimation

Treatment:

Other: no physical or medical interventions