Predictors of Long-Term Evolution in Long COVID; 4-Year Follow-Up. (BioICOPER Follow-up Study)

NCT ID: NCT07295483

Last Updated: 2025-12-19

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

NOT_YET_RECRUITING

Total Enrollment

400 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-12-31

Study Completion Date

2029-06-30

Brief Summary

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Long COVID (persistent COVID) represents a major global health challenge due to its high prevalence (approximately 7%), significant impact on quality of life, and socioeconomic burden. Despite extensive research, diagnostic tools to objectively identify or predict long COVID evolution are still lacking.

The BioICOPER Follow-up Study aims to analyze the influence of biomarker evolution on clinical symptomatology (particularly chronic fatigue) and vascular health after four years of follow-up among 400 participants previously included in the original BioICOPER cohort.

Advanced proteomic analysis, vascular function assessment, and machine-learning-based predictive modeling will be used to identify biomarkers associated with disease progression, stratified by sex. This project will contribute to personalized clinical management of long COVID and improved diagnostic and therapeutic strategies in primary care.

Detailed Description

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The study includes a citizen participation component through the IBSAL Citizen Committee for review and dissemination of results. A prospective observational cohort study following 400 adults with a confirmed diagnosis of long COVID, previously enrolled in the BioICOPER baseline study.

Participants will undergo reevaluation four years after their initial inclusion, assessing:

* Clinical symptoms (fatigue, dyspnea, sleep, cognition, nutrition, frailty).
* Lifestyle factors (physical activity, diet, alcohol and tobacco use).
* Vascular structure and function using carotid ultrasound, pulse wave velocity (SphygmoCor®, Vasera®), and retinal imaging.
* Proteomic profiling and quantification of SARS-CoV-2 N and S proteins using ELISA and mass spectrometry.
* Predictive modeling using artificial intelligence (AI) and bioinformatics methods (ESALAB group).

The study will identify biological, vascular, and behavioral determinants of long COVID progression, aiming to build predictive models to support personalized medicine.

Conditions

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Persistent COVID Condition

Keywords

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Post-acute COVID syndrome Vascular aging Proteomics Biomarkers Machine learning Persistent COVID Artificial Intelligence

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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BioICOPER Long COVID Cohort

Adults previously enrolled in the BioICOPER study with a clinical diagnosis of long COVID.

BioICOPER Long COVID Cohort

Intervention Type OTHER

This observational cohort includes 400 adult participants previously enrolled in the baseline BioICOPER study (2021-2023), who had a confirmed diagnosis of long COVID (persistent COVID-19) according to WHO criteria.

Participants will undergo a comprehensive four-year follow-up assessment to evaluate clinical evolution, vascular function, and biological markers of disease persistence and recovery.

There is no intervention assigned by the investigators - participants will continue their usual medical care.

The study will observe natural disease progression and its association with biomarkers, vascular measurements, and lifestyle factors.

Interventions

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BioICOPER Long COVID Cohort

This observational cohort includes 400 adult participants previously enrolled in the baseline BioICOPER study (2021-2023), who had a confirmed diagnosis of long COVID (persistent COVID-19) according to WHO criteria.

Participants will undergo a comprehensive four-year follow-up assessment to evaluate clinical evolution, vascular function, and biological markers of disease persistence and recovery.

There is no intervention assigned by the investigators - participants will continue their usual medical care.

The study will observe natural disease progression and its association with biomarkers, vascular measurements, and lifestyle factors.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Adults ≥18 years old.
* Confirmed previous SARS-CoV-2 infection.
* Diagnosis of long COVID according to WHO criteria.
* Participation in the baseline BioICOPER study.
* Signed informed consent for re-evaluation.

Exclusion Criteria

* Acute illness preventing participation.
* Cognitive or physical impairment limiting data collection.
* Withdrawal of informed consent.
* Age \< 18 years old
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Carlos III Health Institute

OTHER_GOV

Sponsor Role collaborator

Instituto de Investigación Biomédica de Salamanca

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Manuel Angel Gomez Marcos, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Centro Asistencial Universitario de Salamanca (CAUSA)

Locations

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Av. de Portugal 83. Planta 2

Salamanca, Salamanca, Spain

Site Status

Countries

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Spain

Central Contacts

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Manuel Angel Gómez Marcos, MD, PhD

Role: CONTACT

Phone: +346751143551

Email: [email protected]

Facility Contacts

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Manuel Angel Gómez Marcos, Md, PhD

Role: primary

Other Identifiers

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BioICOPER Follow-up Study

Identifier Type: -

Identifier Source: org_study_id