Official Title
To Analyze the Determining Factors in the Evolution of Subjects Diagnosed With Long COVID at Four Years of Follow-up. BioICOPER Follow-up Study.
Brief Summary

Long COVID (persistent COVID) represents a major global health challenge due to its highprevalence (approximately 7%), significant impact on quality of life, and socioeconomicburden. Despite extensive research, diagnostic tools to objectively identify or predictlong COVID evolution are still lacking.The BioICOPER Follow-up Study aims to analyze the influence of biomarker evolution onclinical symptomatology (particularly chronic fatigue) and vascular health after fouryears of follow-up among 400 participants previously included in the original BioICOPERcohort.Advanced proteomic analysis, vascular function assessment, and machine-learning-basedpredictive modeling will be used to identify biomarkers associated with diseaseprogression, stratified by sex. This project will contribute to personalized clinicalmanagement of long COVID and improved diagnostic and therapeutic strategies in primarycare.

Detailed Description

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.

Recruiting
Persistent COVID Condition

Other: 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.

Eligibility Criteria

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

Eligibility Gender
All
Eligibility Age
Minimum: 18 Years ~ Maximum: N/A
Countries
Spain
Locations

Av. de Portugal 83. Planta 2
Salamanca, Salamanca, Spain

Investigator: Manuel Angel Gómez Marcos, Md, PhD
Contact: +346751143551
magomez@usal.es

Contacts

Manuel Angel Gómez Marcos, MD, PhD
+346751143551
magomez@usal.es

Manuel Angel Gomez Marcos, MD, PhD, Principal Investigator
Centro Asistencial Universitario de Salamanca (CAUSA)

Carlos III Health Institute
NCT Number
Keywords
post-acute COVID syndrome
Vascular aging
Proteomics
Biomarkers
Machine learning
Persistent Covid
Artificial Intelligence
MeSH Terms
Post-Acute COVID-19 Syndrome