Combining Chest X-Ray and Arterial Blood Gas Findings to Predict Need for Mechanical Ventilation in Critically Ill Patients

Launched by ZAGAZIG UNIVERSITY · May 24, 2025

Keywords

ClinConnect Summary

This clinical trial is studying how well a new machine learning model can predict whether critically ill patients will need mechanical ventilation, which is a machine that helps patients breathe when they can't do it on their own. The researchers are combining information from chest X-rays, which show images of the lungs, with blood tests that measure gas levels in the blood. By using this advanced technology, they hope to make better decisions about patient care in hospitals.

To be part of this study, participants must be adults aged 18 or older who are critically ill and may need mechanical ventilation. There will also be a control group of similar patients who do not need this type of support. Everyone involved will have their chest X-ray and blood test done at the same time to provide the necessary information. The study is currently recruiting participants, and it’s important to note that patients with certain chronic lung diseases or incomplete test results will not be eligible to join. This study aims to improve treatment decisions and ultimately help save lives in critical care settings.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Critically ill adult patients aged 18 years or older.
• • Patients assessed to require mechanical ventilation.
• • Control group: Age- and sex-matched critically ill patients not requiring mechanical ventilation.
• • Availability of both chest X-ray and arterial blood gas (ABG) analysis at the time of evaluation.
• Exclusion Criteria:
• • Patients with missing or incomplete data (e.g., absent chest X-ray or ABG results).
• • Patients with chronic lung diseases unrelated to the current admission (e.g., COPD, pulmonary fibrosis).
• • Pregnant females.