Evaluating the Patient-Ventilator Synchrony During Mechanical Ventilation in Patients With Acute Lung Injury

NCT ID: NCT01541514

Last Updated: 2014-12-03

Study Results

Results pending

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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Recruitment Status

COMPLETED

Total Enrollment

30 participants

Study Classification

OBSERVATIONAL

Study Start Date

2011-07-31

Study Completion Date

2013-12-31

Brief Summary

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The overall purpose to the study is to prospectively study how often patients with and without acute lung injury (ALI) have patient-ventilator asynchrony demonstrated as stacked breaths. The investigators seek to describe the quantity of stacked breaths by continuously recording flow, volume, and pressure waveforms routinely displayed on the vent. The investigators also seek to describe how primary ICU teams manage asynchrony documenting interventions of sedation or vent manipulation and what modality is most successful.

Detailed Description

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Conditions

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Mechanically Ventilated ICU Patients

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

age \> 18 years intubated and mechanically ventilated diagnosed with acute lung injury (ALI) or requiring mechanical ventilation for reasons other than ALI

Exclusion Criteria

neurological deficits (acute or chronic) that prevent effective diaphragm activity.

* Neuromuscular disease affecting the diaphragm
* Neuromuscular blockade
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Chicago

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Jesse Hall, MD

Role: PRINCIPAL_INVESTIGATOR

University of Chicago

Locations

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University of Chicago Medical Center

Chicago, Illinois, United States

Site Status

Countries

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United States

Other Identifiers

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11-0172

Identifier Type: -

Identifier Source: org_study_id