Machine Learning Prediction of Mortality After Prone Positioning in ARDS (NCT07445061) | Clinical Trial Compass
Not Yet RecruitingNot Applicable
Machine Learning Prediction of Mortality After Prone Positioning in ARDS
377 participantsStarted 2026-03-01
Plain-language summary
Acute respiratory distress syndrome (ARDS) is a life-threatening condition with high mortality. Prone position ventilation (PPV) is an evidence-based therapy that improves oxygenation and survival in patients with moderate to severe ARDS; however, outcomes remain heterogeneous. Early identification of patients at high risk of mortality after PPV may improve clinical decision-making and individualized management.
This retrospective observational study aims to develop and validate a machine learning model to predict intensive care unit (ICU) mortality in ARDS patients receiving prone position ventilation. Clinical, laboratory, and treatment variables collected from ICU electronic medical records will be used to construct prediction models using multiple machine learning algorithms. The performance of these models will be evaluated and compared to identify the optimal model for mortality prediction.
Who can participate
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Diagnosis of ARDS according to the Berlin definition \[15\];
* Receipt of at least one session of prone position ventilation (PPV) during hospitalization;
* Requirement for mechanical ventilation.
Exclusion Criteria:
* Age \<18 years;
* PPV duration \<6 hours;
* ICU length of stay \<24 hours;
* Pregnancy;
* Missing key clinical data.
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1This trial is focused on using machine learning to predict which ARDS patients are more likely to survive prone positioning — does that mean it's primarily a data and prediction study, and if so, would my loved one's treatment actually change based on what the algorithm predicts, or would it just be observational?
2Since this study hasn't started recruiting yet, how long might it be before it's even an option, and are there other trials or established treatments for ARDS that we should be considering right now instead of waiting?
3The trial is measuring ICU mortality as its main outcome — can you explain what that means in terms of what the researchers are trying to learn, and whether being part of this study would affect the decisions made about prone positioning for my loved one?
4Because this is listed as Phase NA, which usually means it's not testing a new drug or device but rather studying a process or tool, what are the actual risks or burdens of participation — would it involve any extra procedures, or mainly just data collection?
5If the machine learning model in this study is still being developed and validated, what does that mean for how much confidence doctors would have in its predictions, and would my loved one's care team be able to override or question what the model suggests?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.