SENSING-AI in Patients with Long COVID (SENSING-AI)

Completed

• Conditions: Post-acute COVID-19 Syndrome
• Interventions: Other: Review of available clinical data sources related to use cases

• 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.

Study Timeline

• Study Start: 2022-01-18
• Primary Completion: 2022-02-25
• Study Completion: 2022-02-25
• Study First Submitted: 2024-01-31
• Study First Submitted QC: 2024-01-31
• Status Verified: 2024-02
• Study First Posted: 2024-02-07
• Last Update Submitted: 2025-02-14
• Last Update Posted: 2025-02-18

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 103

Inclusion Criteria

• 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

Exclusion Criteria

• 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

Arm && Interventions

Group	Intervention	Description
Retrospective Long COVID cases	Review of available clinical data sources related to use cases	The target population will be as balanced as possible between subjects who needed specialized care due to long COVID-19 complications (either specialized care consultations or any non-planned hospital admission) at 1 month, 3 months, 6 months and 1 year from the long COVID-19 diagnose and those who did not require such specialized care.

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.

Trial Locations

Locations (1)

Virgen Macarena University Hospital; 🇪🇸 Seville, Spain