SENSING-AI in Patients with Long COVID (SENSING-AI)
- Conditions
- Post-acute COVID-19 Syndrome
- Registration Number
- NCT06247332
- Lead Sponsor
- Adhera Health, Inc.
- Brief Summary
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.
- Detailed Description
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.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 103
- Legal adult
- Diagnosed of long COVID-19 in the last year
- With the presence of any of these symptoms:
- Asthenia (Tiredness)
- Dyspnea
- Shortness of breath
- Anxiety
- Stress
- Depression
- Sleep disorder
- Attended to specialized care consultation
- Was admitted in hospital in the last year due to a problem not related to the COVID complications
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Retrospective SENSING-AI cohort 1 month The retrospective SENSING-AI cohort will be fed from clinical information of 100 cases of patients with long COVID-19.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Virgen Macarena University Hospital
🇪🇸Seville, Spain
Virgen Macarena University Hospital🇪🇸Seville, Spain