Lung scanner may predict breathing tube removal success
NCT ID NCT06876792
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested a new way to predict if patients on breathing machines can safely have the tube removed. Researchers used a special imaging technique called electrical impedance tomography (EIT) to measure how well the lungs fill with air during a breathing trial. The goal was to see if this method could better predict who would need to go back on the machine within 48 hours, compared to standard tests. The study involved 150 adults with acute respiratory failure.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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150 people
The number who actually took part.
- Started
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Dec 2024
- Finished
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Dec 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
1. 150 critically ill patients requiring respiratory support were planned for inclusion 2. Age ≥18 years 3. Gender is not limited 4. Patients with expected duration of respiratory support \>24 hours
- Ages
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18 to 90 years
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Age ≥18 years * Acute respiratory failure requiring intubation and mechanical ventilation ≥48 hours * Hemodynamic stability (no escalation of vasoactive agents) * Oxygenation: FiO₂ ≤0.5, PEEP ≤8 cmH₂O * Meeting standard ICU criteria for SBT readiness Exclusion Criteria: * Neuromuscular diseases impairing spontaneous breathing * High cervical spinal cord injury * Deep sedation (RASS ≤-3) * Inadequate EIT signal quality * Contraindications to EIT * Pregnancy * Expected survival \<24 h
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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
Locations
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Department of Critical Care Medicine,Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai,China.
Shanghai, 200025, China
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Fujian Provincial Hospital
Fuzhou, Fujian, 200025, China
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Peking Union Medical College Hospital
Beijing, Beijing Municipality, China
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Other studies related to the condition(s) this trial covers.
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