Pulmonary Physiologic Assessment of Patients on Veno-arterial Extracorporeal Membrane Oxygenation (VA ECMO)
NCT ID: NCT04739007
Last Updated: 2022-11-10
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
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
WITHDRAWN
OBSERVATIONAL
2021-01-09
2022-11-08
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Aim 1: To characterize the lung ventilation strategy employed in patients on VA ECMO and its success.
Aim 2: To characterize respiratory system mechanics while on ECMO using esophageal manometry and Electrical Impedance Tomography (EIT).
Aim 3: To characterize right heart function and pulmonary vascular hemodynamics on the employed ventilation strategy.
The overarching hypothesis is that fine-tuned individualized ventilation might be superior to an algorithm that does not account for cardiac and pulmonary functions. Therefore, the aims of this study are to identify areas in which the ventilation strategy may theoretically be suboptimal, which will guide future interventional studies investigating alternatives methods of ventilation which may reduce time on the ventilator after cardiac arrest, time in the intensive care unit, and need for veno-venous ECMO.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Optimizing Breathing and Blood Flow in Patients Treated With VA ECMO
NCT07141524
Titration of PEEP During Mechanical Ventilation in Patients With ARDS Using Electrical Impedance Tomography.
NCT02596178
Ultra-protective Ventilation Monitored by Electrical Impedance Tomography in Patients With Severe Acute Respiratory Distress Syndrome on Veno-venous ECMO
NCT05717218
Evaluation of Novel Cardio-Pulmonary Physiological Monitor, the VQm PHMâ„¢, for Acute Care Medicine
NCT04730063
Electrical Impedance Tomography-Based Prognostic Model for ARDS
NCT06967207
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Veno-arterial extracorporeal membrane oxygenation (VA-ECMO)
VA-ECMO used for resuscitation after cardiac arrest
Electrical Impedance Tomography (EIT)
EIT used to demonstrate ventilation and perfusion distribution in intubated patients on VA-ECMO
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Between 18 and 85 years of age
* Has an orogastric or nasogastric tube with esophageal balloon capabilities in place
Exclusion Criteria
* Pacemaker or implanted cardiac defibrillator
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Massachusetts General Hospital
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Lorenzo Berra, MD
Reginald Jenney Associate Professor of Anaesthesia
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Massachusetts General Hospital
Boston, Massachusetts, United States
Countries
Review the countries where the study has at least one active or historical site.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
2020P003054
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.