Fundación Pública Andaluza para la gestión de la Investigación en Sevilla

This retrospective observational study, part of the EU-funded CARAMEL project, aims to develop and validate personalized cardiovascular disease (CVD) risk assessment models specifically designed for menopausal and perimenopausal women (ages 40-60). The study leverages Real World Data (RWD) collected from multiple international clinical partners, including electronic health records (EHR), diagnostic imaging data, and signal data.
The main objective is to improve the prediction of CVD precursors such as hypertension and dyslipidemia, as well as mid- and long-term risk of CVD events, through advanced artificial intelligence (AI) models. These models will be trained on multimodal data to capture complex, individualized risk trajectories that current risk calculators fail to address, particularly in women. Special focus is placed on under-researched, women-specific risk factors and their interactions with traditional predictors.
The study includes several research objectives: (1) predicting the onset of hypertension and dyslipidemia using EHR data; (2) modeling the long-term risk of fatal and non-fatal cardiovascular events and disease trajectories; (3) identifying novel imaging biomarkers from routine screening tests such as mammography, DXA, ultrasound, and cardiac MRI; (4) developing multimodal prediction models combining imaging and clinical data; (5) creating automated AI tools for imaging biomarker extraction; and (6) using signal data from cardiac devices to predict disease progression and events.
The study population consists of middle-aged women with retrospective data available across different health systems. The expected outcome is a validated set of stratified, personalized CVD risk models that can support targeted prevention strategies and enable more equitable, sex-specific care. This will contribute to reducing the burden of CVD in women and addressing critical gaps in early detection, clinical decision-making, and health policy.
This project has received funding from the European Union's Horizon Europe Research and Innovation Programme under Grant Agreement No 101156210.

Background: Currently used direct-acting antivirals (DAA) share pharmacokinetic pathways with many comedications commonly used in patients with chronic hepatitis C virus (HCV) infection, therefore drug-drug interactions (DDI) might exist. Although extensive (DDI) verification is recommended by most clinical practice guidelines, real-world studies have shown that approximately one-tenth of patients on DAA therapy also take concomitant medication with the potential for significant interactions. Despite the risk of significant DDI when patients are administered DAA and a concomitant medication, to date, there is very little information on whether these interactions translate into changes in the toxicity or efficacy of any involved DAA or comedication in clinical practice. Clarifying this issue is a critical point, as the DDI profile of the currently used DAA is not the same, with SOF/VEL showing a lower risk of significant DDI than GLE/PIB. Thus the objective of this study is to compare the percentage of comedication switch, withdrawal, or dose reduction at treatment initiation and during treatment with GLE/PIB or SOF/VEL.
Methods: The patients will be enrolled from the GEHEP 001/HEPAVIR cohort. "The HEPAVIR-DAA cohort (NCT02057003)", includes HIV/HCV-coinfected patients, and "the GEHEP-MONO cohort (NCT02333292)", that includes HCV mono-infected individuals, are ongoing prospective multicenter cohorts of patients receiving DAA combinations prescribed in clinical practice, outside clinical trials. Main Study End Point will be the frequency of comedication switch, withdrawal or dose reduction at treatment initiation (index date) and during treatment with GLE/PIB or SOF/VEL.

Most patients with multiple myeloma (MM) die due to relapse resistant to current treatment, including treatment with anti-B cell maturation antigen (BCMA) CAR-T cells. To overcome some of the potential limitations of this therapy, a new and optimized Anti-BCMA CAR-T has been developed, with the aim of using it in patients with MM who relapse after Allogeneic Haematopoietic Haematopoietic Progenitor. This trial is a prospective phase I/II trial with a 3+3 design. Once Dose Limiting Toxicity is identified, Phase II will begin to assess the efficacy of the procedure.