An observational study in COVID-19, Acute Respiratory Failure and Triage, sponsored by University Hospital, Toulouse. Completed at 1 site in France. Open to participants aged 17 Years and older. Per ClinicalTrials.gov, last updated 2021-06-01.
Sponsored by University Hospital, Toulouse · Observational
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.
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).
7,640 studies on the registry are indexed under COVID-19; 488 are open to participants now.
This study's enrollment of 25 is below the median of 261 across 3,136 observational studies indexed under COVID-19.
Browse COVID-19 studies →University Hospital, Toulouse is the lead sponsor of 794 studies on the registry; 214 are open to participants now.
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Pilot study
Exclusion criteria:
Adult (\> 18 years) with Proven COVID-19 (specific PCR from respiratory track sample)
Other: thoracic lung ultrasound
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.
Area Under the Curve (AUC) of a predictive model built on LUS and clinical (Q-SOFA, SpiO2/FiO2) data
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.
Time frame: Day 1
Area Under the Curve (AUC) of a predictive model built on CT scan and clinical (Q-SOFA, SpiO2/FiO2) data
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.
Time frame: Day 1
mortality
mortality
Time frame: Day 28
Plan to share: Undecided
No publications or documents are linked to this record.
This study is completed, as verified in May 2021. You cannot join it, but the record below documents what was studied.
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University Hospital, Toulouse