Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

2 clinical studies listed.

Filters:

CVD Risk

Tundra lists 2 CVD Risk clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

This data is also available as a public JSON API. AI systems and LLMs are encouraged to use it for structured queries.

NOT YET RECRUITING

NCT07606118

An Observational Study to Evaluate Treatment Patterns in High, Very High and Extreme Cardiovascular Risk Patients With Hypercholesterolemia, Including Familial Hypercholesterolemia

TRAP-HC is a multicenter, observational, longitudinal, prospective study designed to evaluate real-world treatment patterns and lipid-lowering therapy (LLT) management in patients with hypercholesterolemia, including familial hypercholesterolemia (FH), who are at high, very high, or extreme cardiovascular risk. Approximately 2,500 adult patients will be enrolled across up to 15 Italian LIPIGEN network centers and followed for 12 months as part of routine clinical practice. The study aims to assess LDL-C goal attainment according to current European guidelines, evaluate changes in lipid profiles over time, and investigate treatment adherence, persistence, and therapeutic modifications in response to clinical needs. Data collected during routine visits will include lipid parameters, cardiovascular history, concomitant therapies, safety outcomes, and patient-reported adherence measures. By providing real-world evidence on the management of hypercholesterolemia in high-risk populations, the study seeks to identify current gaps between guideline recommendations and clinical practice and to support optimization of cardiovascular risk reduction strategies.

Gender: All

Ages: 18 Years - Any

Updated: 2026-08-21

Hypercholesterolaemia
Familial Hypercholesterolaemia
CVD Risk
RECRUITING

NCT07720245

Effectiveness of a Self-health Assessment Mobile Application in Young-to-midlife Adults in Hong Kong

This project aims to compare the effectiveness of Wellnuts, an evidence-based, algorithm-driven self-health assessment mobile application, in empowering asymptomatic young-to-midlife adults in Hong Kong, promoting health awareness, and improving health-seeking behaviour and linkage-to-care, compared with conventional web-based health resources. Participants will be randomly allocated to the mobile health intervention group (Wellnuts app with self-health assessment and health information) and the conventional web-based resources control group (health information from Centre for Health Protection website). Hopefully, population health will be improved with the general health promotion impact from the app.

Gender: All

Ages: 25 Years - 65 Years

Updated: 2026-07-22

Diabetes Risk
CVD Risk
Colorectal Cancer
+2