Combining chest X-rays and arterial blood gas results to predict ventilator need in critically ill adults

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This prospective cross-sectional study at Zagazig University Hospitals will develop a machine learning model that integrates chest X-ray radiographic features with arterial blood gas (ABG) parameters to predict the need for mechanical ventilation in critically ill adults. About 2,160 patients will be enrolled over six months and data collected will include demographics, clinical status, ABG values (pH, PaO2, PaCO2, HCO3) and radiologic findings (infiltrates, effusions, consolidation). The model will be trained on 70% of the dataset and validated on the remaining 30%, and performance will be compared to standard clinical assessments using metrics such as accuracy and RMSE. The protocol has institutional IRB approval and aims to provide an objective decision-support tool to aid ventilator decision-making.

Why it matters

Who can join: the full rules

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.

Where it's running

• Faculty of medicine, zagazig university
  Zagazig, Al Sharqia, Egypt Recruiting

Study contacts

• Study coordinator: Omaima Ibrahim Prof
• Email: OIAbdelhamid@medicine.zu.edu.eg
• Phone: +201001664310

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.