Weaning From Mechanical Ventilation Guide by Assessment of Lung Tidal Distribution With EIT

November 28, 2022 updated by: Songqiao Liu, Southeast University, China
To evaluate whether EELI, RVD, GI were good predictor for weaning from mechanical ventilation

Study Overview

Detailed Description

53 patients who ready to wean from mechanical ventilation were included in this study. The changes of lung tidal distribution during SBT with mechanical ventilation by EIT were recorded. Whether EELI, RVD, GI were good predictor for weaning from mechanical ventilation?

Study Type

Observational

Enrollment (Actual)

55

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Jiangsu
      • Nanjing, Jiangsu, China
        • Zhongda Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 80 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patients with mechanical ventilation admitted to ICU of Zhongda hospital

Description

Inclusion Criteria:

  1. Intubated patients age between 18 years old and 80 years old
  2. Duration of controlled mechanical ventilation≥ 24 h
  3. Patients ready to wean from mechanical ventilation
  4. Informed consent

Exclusion Criteria:

  1. Pregnant women
  2. Patients with malignant tumor
  3. High paraplegia, neuromuscular lesions
  4. Thoracic deformity, diaphragmatic hernia
  5. Patients with ECMO
  6. Patient participated in another interventional trial before enrollment

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Weaning Guide by EIT
Weaning From Mechanical Ventilation Guide by Assessment of Lung Tidal Distribution With EIT
Changes of lung tidal distribution during SBT with mechanical ventilation were recorded by EIT can be used to predict weaning success or failure

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Weaning duration
Time Frame: 48 hours
Time of weaning duration from SBT to weaning from mechanical ventilation
48 hours

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Liu Songqiao, PHD, Southeast university

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 18, 2016

Primary Completion (Actual)

December 31, 2018

Study Completion (Actual)

December 31, 2018

Study Registration Dates

First Submitted

April 9, 2017

First Submitted That Met QC Criteria

April 16, 2017

First Posted (Actual)

April 18, 2017

Study Record Updates

Last Update Posted (Actual)

November 30, 2022

Last Update Submitted That Met QC Criteria

November 28, 2022

Last Verified

November 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • 2016ZDSYLL064-Y01

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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