- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04474236
Lung Ultrasound for COVID-19 Initial Triage and Monitoring (QUICK)
Use of Lung Ultrasound for COVID-19 Patient's Initial Triage Assessment and Early Monitoring: a Pilot Study
Study Overview
Status
Intervention / Treatment
Detailed Description
Initial triage assessment is the cornerstone of first-line medical management for COVID-19 patients. Only an accurate and fast evaluation of COVID-19 patients respiratory system integrity, can allow optimal treatment care and medical resources attribution. Despite its very large deployment, the use of thoracic Computed Tomography (CT scan) for COVID-19 patients severity assessment is currently debated. Actually CT-scan use in this setting: i) it is associated with risky in/out hospital patient's transport, both in terms of medical management of patient's critical conditions and risk of COVID-19 nosocomial transmission, ii) risks related to x-ray exposure iii) CT-scan is a snapshot of respiratory system integrity and does not provide data that might be used for patient's monitoring. LUS is a non-invasive, non-ionizing, fully bedside imaging tool. Investigators team has previously contributed to the development and validation of LUS for critically ill patient's management. To the extent of our knowledge, there is neither data regarding COVID-19 patient's LUS patterns, nor about the potential link between LUS data, patient's severity and outcome.
The investigators hypothesize that the combined use of LUS and clinical data (Q-SOFA score, SpiO2/FiO2) recorded at COVID-19 patients hospital admission, will allow to accurately predict short-term outcome. The investigators expect to predict at patient's hospital admission, the patient's clinical status at 24h: favorable (spontaneous ventilation with O2 < 6 l/min) or unfavorable (spontaneous ventilation with O2 > 6 l/min or under mechanical ventilation).
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
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Toulouse, France
- University Hospital Toulouse
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion criteria:
- Adult (> 18 years).
- Proven COVID-19 (specific PCR from respiratory track sample)
- CT scan prescribed by physician in charge, independently of research.
- Patients consent (or surrogate decision maker's consent in case of need).
Exclusion criteria:
- Reduction or cessation of active treatment.
- Patient under guardianship, tutelage measure or judicial protection
- Patient deprived of liberty by judicial order
- No French health insurance.
- Pregnancy or nursing woman.
- Enrolled in another trial evaluating thoracic imaging.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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COVID-19 patients
Adult (> 18 years) with Proven COVID-19 (specific PCR from respiratory track sample)
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Patients will be recruited the day of their hospital admission.
All patients will be assessed by thoracic Computed Tomography scan then immediately before/after CT scan, patients will be clinically assessed (Q-SOFA, SpiO2/FiO2) and a lung ultrasound evaluation (mean time of evaluation 7 min +/- 3 min; fully respect of COVID-19 barrier measures) will be performed by an investigator.
Patients clinical status and outcomes will be extracted from patient's medical file at day 1 and day 28 from patient's admission by investigators blinded from previously recorded lung ultrasound data.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Area Under the Curve (AUC) of a predictive model built on LUS and clinical (Q-SOFA, SpiO2/FiO2) data
Time Frame: Day 1
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Area Under the Curve (AUC) of a predictive model at 24h from hospital admission (Favorable vs Unfavorable), built on LUS (12 thoracic regions) and clinical (Q-SOFA, SpiO2/FiO2) data recorded at hospital admission.
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Day 1
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
mortality
Time Frame: Day 28
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mortality
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Day 28
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Area Under the Curve (AUC) of a predictive model built on CT scan and clinical (Q-SOFA, SpiO2/FiO2) data
Time Frame: Day 1
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Area Under the Curve (AUC) of a predictive model at 24h from hospital admission (Favorable vs Unfavorable), built on CT scan and clinical (Q-SOFA, SpiO2/FiO2) data recorded at hospital admission.
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Day 1
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Benjamine SARTON, ph, University Hospital, Toulouse
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- RC31/20/0182
- 2020-A01445-34 (Other Identifier: ID-RCB)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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