Clinical Research Directory

Study to Evaluate the Efficacy and Safety of Plitidepsin in Adults With Post-COVID-19 Condition (PCC)

The study aims to prove that plitidepsin could be an efficacious, safe, and well-tolerated therapy for PCC. To this end, we will perform a randomized, double-blind study comparing the clinical and laboratory benefits of plitidepsin vs. placebo in 90 subjects with moderate to severe functional disability. The study consists of an intervention period and a follow-up period, with a total of 135 +/-3 days approximately between both periods. During the intervention period, four treatment cycles will be administered, scheduled every 15 days (every 2 weeks), with intravenous (IV) infusion over three consecutive days. After completing the intervention period, a 90-day (+/-5) follow-up period will be conducted. Subjects in arm A will receive the plitidepsin 1.5 mg/day 1h-IV during the four treatment periods on Days 1 to 3, Days 15 to 17, Days 29 to 31 and Days 43 to 45. Subjects in arm B will receive 1h-IV placebo 1 vial /day during the first two treatment periods and will receive the plitidepsin 1.5 mg/day 1h-IV during the last two treatment periods. Subjects in arm C will receive 1h-IV placebo 1 vial/day during the four treatment periods.

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

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.