Retrospective Data Collection for SENSING-AI: a Wearable Platform for the Early Diagnosis of Emotional Disorders and Exacerbations in Patients with Long COVID Through the Use of Artificial Intelligence
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 103
- 试验地点
- 1
- 主要终点
- Retrospective SENSING-AI cohort
研究概览
简要总结
The retrospective study will be used to develop an artificial intelligence model of risk stratification of physiological and psychological complications arising from the information available in the electronic medical record and first consultation report to support patients and healthcare professionals in better managing the healthcare process for patients diagnosed with long COVID.
详细描述
The stratification of the risk of complications related to persistent COVID both physiological and psychological in a personalized way would optimize the cost-effectiveness model for the management of these patients. Similarly, the early detection of complications associated with persistent COVID in patients belonging to vulnerable groups would improve care times and, therefore, the patient's prognosis.
The primary objective for this study is to gather anonymized retrospective data of patients suffering from long COVID in order to contribute to the generation of the SENSING-AI cohort.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Legal adult
- •Diagnosed of long COVID-19 in the last year
- •With the presence of any of these symptoms:
- •Asthenia (Tiredness)
- •Shortness of breath
- •Depression
- •Sleep disorder
排除标准
- •Attended to specialized care consultation
- •Was admitted in hospital in the last year due to a problem not related to the COVID complications
结局指标
主要结局
Retrospective SENSING-AI cohort
时间窗: 1 month
The retrospective SENSING-AI cohort will be fed from clinical information of 100 cases of patients with long COVID-19.
次要结局
未报告次要终点