Clinical Research Directory

Wild Blueberries for Gut, Brain, and Heart Health in Adults With High Blood Pressure

The purpose of the study is to determine the effectiveness of wild blueberries on cardiovascular health, cognitive function, and gut microbiota composition in non-Hispanic Black and White adults with elevated blood pressure.

Probiotics in Pulmonaty Rehabilitation for COPD

This study aims to investigate various aspects of patients with chronic respiratory diseases undergoing pulmonary rehabilitation supplemented with probiotics. The focus will be on clinical physiological responses, functional performance, respiratory status assessments, nutritional status evaluations, body composition analyses, and biochemical blood parameters, with a primary emphasis on the anti-inflammatory response.

Prevalence of Sarcopenia in Patients Admitted to ICU and Its Progression During Hospitalization.

This is a prospective, observational study at the ICU of Hospital Mútua de Terrassa, running from May to December 2025. The primary goal is to determine the prevalence of sarcopenia in adult patients requiring more than 48 hours of mechanical ventilation. Sarcopenia is assessed using the SARC-F score, impedanciometry, and quadriceps ultrasound. Secondary aims include tracking the development of ICU-Acquired Weakness (ICU-AW) using the MRC score. All data is collected anonymously after obtaining informed consent.

How a Mediterranean Diet With Potatoes Impacts Heart and Metabolic Health in Adults With Pre-Diabetes

The goal of this clinical trial is to is to determine the effects of baked potato with the skin (BP) + nutrition education focused on adherence for a Mediterranean Dietary Pattern (MEDNE) on glycemic control, cardiometabolic health, and dietary quality in individuals with pre-diabetes from different demographic backgrounds. The main questions it aims to answer are: * Does BP+MEDNE contribute to improvements in indices of glycemic control, vascular function, blood lipids, inflammation/oxidative stress, and body composition? * Does BP+MEDNE contribute to improvements to overall dietary intake and quality? Researchers will compare BP+MEDNE to MEDNE alone to see if BP+MEDNE can improve glycemic control, cardiometabolic health, and dietary quality in individuals with pre-diabetes from different demographic backgrounds. Participants will: * Be asked to come to the study site initially for a Screening Study Visit to confirm eligibility. * Be asked to come the study site for a Pre-Baseline and Pre-12-Week Study Visit (one week prior to Baseline and 12-Week Study Visits) for placement of placement of a continuous glucose monitor and wearable devices to be removed at Baseline and 12-Week Study Visits. * Be asked to come to the study site for Baseline, 6- and 12-Week Study Visits for assessments of glycemic control and cardiometabolic health. * Be asked to complete 3-Day Food Records throughout the 12 week study period for assessment of dietary quality (5 total) * Receive pre-recorded MEDNE ( which can be accessed via computer device/ipad/smartphone) after Baseline and 6-Week Study Visits. * If randomized to the BP+MEDNE group, participants will receive pre-prepared baked potatoes with the skin for the 12-week study period (every 3 weeks) at Baseline and 6-Week Study Visits and asked to come to the study site for picking up the pre-prepared baked potatoes at weeks 3 and 9 of the study period.

AI-based Prediction of Cardiac Function Using Echocardiography and Body Composition Data (ECHO-FIT Study)

This prospective observational study (ECHO-FIT Study) aims to develop and validate a predictive model for cardiac function, particularly left ventricular ejection fraction (LVEF), by integrating echocardiographic measurements with body composition data obtained from the QCCUNIQ BC 720 device. The study plans to enroll 2,000 adult participants, comprising 1,000 individuals with normal LVEF (≥50%) and 1,000 with heart failure (LVEF \<50%), all of whom will undergo standard-of-care echocardiography and body composition analysis. By analyzing the relationships between key echocardiographic parameters (such as LVEF and diastolic function) and body composition measures (including fat mass, skeletal muscle mass, and total body water), we will develop a non-invasive prediction model capable of identifying individuals at higher risk of cardiac dysfunction. This innovative approach has the potential to enhance early detection and personalized management of heart failure, reduce dependence on resource-intensive diagnostic procedures, and ultimately improve patient outcomes.