New study aims to predict muscle weakness in kids on ventilators before it strikes
NCT ID NCT07150637
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is developing an early warning model to predict ICU-acquired weakness in children who need mechanical ventilation. Researchers will track 1,500 children in the PICU, looking for biomarkers and other signs that could forecast muscle weakness. The goal is to move from diagnosing weakness after it happens to predicting it early, which could improve recovery and reduce long-term disability.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to a tool that predicts muscle weakness in critically ill children before symptoms appear, allowing earlier treatment and reducing long-term disability.
What could go wrong
This is an observational study, not a treatment trial. The model may not be accurate enough for real-world use, and results may not apply to all children or hospitals.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Children' hospital of Fudan university
Shanghai, Shanghai Municipality, 201102, China