Development of a Scoring and Prediction Model for Weaning Success in ARDS Patients Using Ventilation Parameters Combined with Artificial Intelligence and Deep Learning Techniques

This study aims to develop an AI-supported scoring model to optimize the weaning processes of ARDS patients from mechanical ventilation. Retrospective analysis will be conducted on the data of 25,000 patients, focusing on ventilator parameters and hemodynamic variables. The model will be designed to contribute to clinical decision support systems.

Study Overview

Status

Completed

Conditions

Detailed Description

The aim of this study is to develop an artificial intelligence and deep learning-supported scoring system using ventilator parameters obtained during the mechanical ventilation process in patients diagnosed with ARDS. This system seeks to predict and optimize the weaning process, facilitating successful liberation from mechanical ventilation.

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.

Study Type

Observational

Enrollment (Actual)

25000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Istanbul, Turkey
        • Bakirkoy Dr Sadi Konuk Research and Training Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Intubated patients which diagnosed with ARDS and followed up in the ICU for more than 48 hours.

Description

Inclusion Criteria:

  • ARDS diagnosis
  • 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:

  • Missing data
  • Under 18 years of age
  • Followed by non-ARDS conditions
  • Terminal status

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Weaned
Those successfully weaned from mechanical ventilation
Non-weaned
Those who not weaned from mechanical ventilation

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Successful Weaning
Time Frame: 48 hours
The primary outcome of this study will be the successful weaning from mechanical ventilation.
48 hours

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mechanical Ventilatory Parameters
Time Frame: 48 hours
Determining the impact of mechanical power on patient outcomes.
48 hours

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Study Chair: Zafer Cukurova, M.D, Bakırköy Dr. Sadi Konuk Training and Research Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 10, 2024

Primary Completion (Actual)

December 24, 2024

Study Completion (Actual)

December 24, 2024

Study Registration Dates

First Submitted

December 11, 2024

First Submitted That Met QC Criteria

December 26, 2024

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

December 26, 2024

Last Verified

December 1, 2024

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • 2024-12-07

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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