Combining Electrical Impedance Tomography and Thoracic Ultrasound Toinvestigate Dynamic Changes
NCT ID: NCT06958770
Last Updated: 2025-05-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
50 participants
OBSERVATIONAL
2025-05-19
2028-12-31
Brief Summary
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2. To asses respiratory effort by diaphragmatic function, esophageal pressure, and EIT (Pendelluft phenomenon), and hyperinflammatory biomarkers, to predict P-SILI.
3. To develop predictive models for weaning success based on integrated EELI and thoracic ultrasound.
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Interventions
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Electrical impedance tomography
* Electrical impedance tomography (EIT)：Assessing pulmonary function in chronic lung diseases.
* Lung ultrasound：Assessing diaphragm atrophy in mechanically ventilated patients.
* Esophageal pressure：The work of breathing, or the energy required by respiratory muscles to meet ventilatory demands, can be directly evaluated by esophageal pressure
* Oxygen consumption：Indirectly evaluated by measuring oxygen consumption (V̇O2) during mechanical ventilation The oxygen cost of breathing, reflected the increase in V̇O2 when transitioning from mechanical ventilation to spontaneous breathing, has been shown to predict weaning outcomes.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Patient intubated and receiving mechanical ventilation \> 24 hours.
* Admitted into ICU, diagnosed as moderate or severe ARDS (ICD-10-CM: J80) according to Berlin definition.
Exclusion Criteria
* Pregnancy.
* No consent/inability to obtain consent and appropriate legal representative not available.
18 Years
ALL
No
Sponsors
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National Taiwan University Hospital
OTHER
Responsible Party
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Principal Investigators
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Yao-Wen Kuo
Role: PRINCIPAL_INVESTIGATOR
National Taiwan University Hospital
Central Contacts
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Other Identifiers
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202502091RIND
Identifier Type: -
Identifier Source: org_study_id
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