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临床试验/NCT04474236
NCT04474236已完成不适用

Use of Lung Ultrasound for COVID-19 Patient's Initial Triage Assessment and Early Monitoring: a Pilot Study

University Hospital, Toulouse1 个研究点 分布在 1 个国家目标入组 25 人开始时间: 2020年5月27日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
25
试验地点
1
主要终点
Area Under the Curve (AUC) of a predictive model built on LUS and clinical (Q-SOFA, SpiO2/FiO2) data

研究概览

简要总结

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.

详细描述

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).

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
17 Years 至 —(Child, Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Area Under the Curve (AUC) of a predictive model built on LUS and clinical (Q-SOFA, SpiO2/FiO2) data

时间窗: Day 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.

次要结局

  • mortality(Day 28)
  • Area Under the Curve (AUC) of a predictive model built on CT scan and clinical (Q-SOFA, SpiO2/FiO2) data(Day 1)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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