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

NCT ID: NCT06247332

Last Updated: 2025-02-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

103 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-01-18

Study Completion Date

2022-02-25

Brief Summary

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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

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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.

Conditions

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Post-acute COVID-19 Syndrome

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Retrospective Long COVID 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.

Review of available clinical data sources related to use cases

Intervention Type OTHER

There will be a review of available clinical data sources related to use cases. In addition, this information will be complemented by a cohort of anonymized retrospective data of 100 cases obtained from the clinical information resulting from the assistance to COVID-19 patients managed by the Primary Care Health District of Sevilla Norte and the Infectious Diseases Department of the Virgen Macarena University Hospital

Interventions

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Review of available clinical data sources related to use cases

There will be a review of available clinical data sources related to use cases. In addition, this information will be complemented by a cohort of anonymized retrospective data of 100 cases obtained from the clinical information resulting from the assistance to COVID-19 patients managed by the Primary Care Health District of Sevilla Norte and the Infectious Diseases Department of the Virgen Macarena University Hospital

Intervention Type OTHER

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hospital Universitario Virgen Macarena

OTHER

Sponsor Role collaborator

Adhera Health, Inc.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Virgen Macarena University Hospital

Seville, Seville, Spain

Site Status

Countries

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Spain

Other Identifiers

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SEN-0121

Identifier Type: -

Identifier Source: org_study_id

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