Blue Protocol and Eko Artificial Intelligence Are Best (BEA-BEST)
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Agreement between POCUS and Eko CORE
研究概览
简要总结
This is an observational study that will be enrolling University of Louisville patients who present to the Emergency Department in Acute Respiratory Failure. This study will be to determine if the addition of Eko AI-assisted lung auscultation examination to a standard of care Pulmonary POCUS + assists with acute respiratory failure diagnosis.
详细描述
Once identified and consented, the subject will undergo both POCUS and AI-assisted lung auscultation using an Eko CORE stethoscope. The POCUS protocol described here is the standard of care for patients who present in acute respiratory failure to the Emergency Room and both groups will receive this standardized care during the study.
Upon hospital discharge, the final discharge diagnosis will be used as the ground truth for assessing the accuracy of the POCUS protocol. The POCUS exam and the EkoAI exam may be performed wherever the subject is located in the hospital when first enrolled in the study. If possible, both exams should be performed immediately, in either order. They will be performed by the same examiner.
Both the POCUS and the EkoAI exam will be analysed by an investigator blinded to the final diagnosis.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 100 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adults aged 18 years or older presenting to the ED or admitted to the hospital within 12 hours of enrollment
- •Acute respiratory failure defined as new onset shortness of breath initiated within the last 7 days, and new or increasing need for oxygen therapy
- •The patient or patient's legal health care proxy consents to participation
排除标准
- •Unwillingness to consent
- •Patients with trauma as the cause of ARF
- •Patients with pneumothorax as the cause of ARF
- •Inability to perform pulmonary POCUS or lung auscultation (e.g. dressing on the chest)
- •Unwilling or unable to complete the minimum of 12 lung sound stethoscope recordings.
结局指标
主要结局
Agreement between POCUS and Eko CORE
时间窗: 2 years
We will measure Kappa statistic.
Measure the accuracy of POCUS for the diagnosis of acute respiratory failure
时间窗: 2 years
POCUS consists of an ultrasound examination at bedside. We will perform lung ultrasound and the pattern of lung ultrasound will be used to diagnose the cause of acute respiratory failure. The reference standard will be the the final diagnosis by the clinician. The accuracy measures will include sensitivity, specificity, positive predictive value, and negative predictive value.
Measure the accuracy of POCUS plus Eko for the diagnosis of acute respiratory failure. AI-assisted lung auscultation for the diagnosis of the case of acute respiratory failure.
时间窗: 2 years
POCUS was described above. Ekos consists of a digital stethoscope. The lung auscultation pattern will be used to determine the cause of acute respiratory failure. POCUS and Eko will be integrated to establish the cause of acute respiratory failure. The reference standard will be the final diagnosis by the clinician.
次要结局
未报告次要终点
研究者
Rodrigo Cavallazzi
MD, Associate Professor of Medicine
University of Louisville