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Lung Ultrasound for COVID-19 Initial Triage and Monitoring

Completed
Conditions
Lung Ultrasound
Acute Respiratory Failure
COVID-19
CT Scan
Triage
Interventions
Other: thoracic lung ultrasound
Registration Number
NCT04474236
Lead Sponsor
University Hospital, Toulouse
Brief Summary

The QUICK study main aim is to assess the predictive value at Day 1, of a model built on lung ultrasound (LUS) and clinical data, both recorded at hospital admission of COVID-19 patients.

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).

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
25
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
COVID-19 patientsthoracic lung ultrasoundAdult (\> 18 years) with Proven COVID-19 (specific PCR from respiratory track sample)
Primary Outcome Measures
NameTimeMethod
Area Under the Curve (AUC) of a predictive model built on LUS and clinical (Q-SOFA, SpiO2/FiO2) dataDay 1

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.

Secondary Outcome Measures
NameTimeMethod
Area Under the Curve (AUC) of a predictive model built on CT scan and clinical (Q-SOFA, SpiO2/FiO2) dataDay 1

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.

mortalityDay 28

mortality

Trial Locations

Locations (1)

University Hospital Toulouse

🇫🇷

Toulouse, France

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