Development of a Scoring and Prediction Model for Weaning Success in ARDS Patients Using Ventilation Parameters Combined with Artificial Intelligence and Deep Learning Techniques
NCT ID: NCT06751693
Last Updated: 2024-12-30
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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COMPLETED
25000 participants
OBSERVATIONAL
2024-12-10
2024-12-24
Brief Summary
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Detailed Description
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In this context, our study will analyze data from 25,000 patients obtained from the Metavision system. From this data pool, ARDS patients will be filtered and divided into two groups: those successfully weaned from mechanical ventilation (weaned) and those who were not (non-weaned). The ventilator parameters of both groups, including oxygenation indices, driving pressure, and total mechanical power, will be examined in detail.
The collected data will be analyzed using artificial intelligence and deep learning algorithms to develop a scoring system capable of predicting patients' weaning processes. This system is designed to guide clinicians in patient management and enhance the success of weaning procedures.
The results of this study aim to contribute to more efficient and safer management of the weaning process for ARDS patients. Furthermore, the implementation of AI-supported scoring systems in intensive care units is expected to promote widespread adoption and improve the quality of patient care.
Conditions
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Keywords
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Weaned
Those successfully weaned from mechanical ventilation
No interventions assigned to this group
Non-weaned
Those who not weaned from mechanical ventilation
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Aged 18 years and older
* Intubated and followed by Mechanical ventilation
* Admission on Intensive care unit
* Complete data on clinical support and desicion system
Exclusion Criteria
* Under 18 years of age
* Followed by non-ARDS conditions
* Terminal status
18 Years
ALL
No
Sponsors
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Bakirkoy Dr. Sadi Konuk Research and Training Hospital
OTHER_GOV
Responsible Party
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Principal Investigators
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Zafer Cukurova, M.D
Role: STUDY_CHAIR
Bakırkoy Dr. Sadi Konuk Training and Research Hospital
Locations
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Bakirkoy Dr Sadi Konuk Research and Training Hospital
Istanbul, , Turkey (Türkiye)
Countries
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Other Identifiers
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2024-12-07
Identifier Type: -
Identifier Source: org_study_id