Viewing Study NCT03215316


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Study NCT ID: NCT03215316
Status: COMPLETED
Last Update Posted: 2025-05-20
First Post: 2017-07-11
Is NOT Gene Therapy: False
Has Adverse Events: False

Brief Title: Screening Expiratory Flow Limitation by Flow-time Curve
Sponsor:
Organization:

Raw JSON

{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D012128', 'term': 'Respiratory Distress Syndrome'}], 'ancestors': [{'id': 'D008171', 'term': 'Lung Diseases'}, {'id': 'D012140', 'term': 'Respiratory Tract Diseases'}, {'id': 'D012120', 'term': 'Respiration Disorders'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 45}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2017-09-01', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2025-05', 'completionDateStruct': {'date': '2024-08-12', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2025-05-15', 'studyFirstSubmitDate': '2017-07-11', 'studyFirstSubmitQcDate': '2017-07-11', 'lastUpdatePostDateStruct': {'date': '2025-05-20', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2017-07-12', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2024-08-12', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Outcome (Presence / absence of EFL) will be determined by off-line analysis of recorded flow-volume loops during PEEP reduction.', 'timeFrame': '2 years'}], 'secondaryOutcomes': [{'measure': 'Percentage of intrinsic PEEP caused by the EFL.', 'timeFrame': '2 years'}]}, 'oversightModule': {'isUsExport': False, 'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['ARDS, Human']}, 'descriptionModule': {'briefSummary': 'Expiratory flow limitation (EFL) is defined as a dynamic condition that expiratory flow cannot be further increased with higher expiratory driving pressure. Under mechanical ventilation, it can cause intrinsic positive end-expiratory pressure (PEEP) and dynamic hyperinflation, and be associated with worse clinical outcome. The detection of EFL however needs special maneuvers and offline analysis of flow-volume curves, which are infeasible in routine practice and cannot be used during real-time monitoring. The investigators propose a new and simple approach using flow derived parameters to detect EFL in real time without needing any intervention.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'maximumAge': '99 Years', 'minimumAge': '18 Years', 'samplingMethod': 'PROBABILITY_SAMPLE', 'studyPopulation': 'Intubated patients in the intensive care unit (ICU) receiving mechanical ventilation.', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n1. Age ≥18 years, intubated or tracheostomized\n2. Receiving invasive mechanical ventilation in assist/control mode with PEEP ≥ 5 cmH2O\n3. Receiving continuous intravenous sedation\n4. Displaying a monotonous regular breathing pattern with no obvious asynchrony\n\nExclusion Criteria:\n\n1. Severe hypoxemia in baseline clinical ventilator settings (SpO2 \\< 90%)\n2. Hemodynamic instability (mABP \\<60 mmHg, systolic arterial pressure \\>180 mmHg, heart rate \\<40/min or \\>150/min)'}, 'identificationModule': {'nctId': 'NCT03215316', 'acronym': 'FLOWLY', 'briefTitle': 'Screening Expiratory Flow Limitation by Flow-time Curve', 'organization': {'class': 'OTHER', 'fullName': 'Unity Health Toronto'}, 'officialTitle': 'Screening Expiratory Flow Limitation by Flow-time Curve', 'orgStudyIdInfo': {'id': '17-098'}}, 'contactsLocationsModule': {'locations': [{'zip': 'M5B 1W8', 'city': 'Toronto', 'state': 'Ontario', 'country': 'Canada', 'facility': "St. Michael's Hospital", 'geoPoint': {'lat': 43.70643, 'lon': -79.39864}}]}, 'ipdSharingStatementModule': {'ipdSharing': 'UNDECIDED'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Unity Health Toronto', 'class': 'OTHER'}, 'responsibleParty': {'type': 'SPONSOR'}}}}