ClinicalTrials.gov
public full text
Public Domain
Fat Around Heart Arteries as a Measure of Inflammation in Patients With Diabetes
atherosclerosiscoronary-artery-diseasediabetes-mellitusdiabetes-mellitus-type-2inflammationtype-2-diabetes-mellitus
In this prospective study, the objective is to investigate inflammation in the arteries of the heart. A heart CT scan (CCTA) will be used to measure inflammation by assessing the fat tissue surrounding the arteries of the heart. Participants with type 2 diabetes who have no heart symptoms have been examined, using a CCTA at the start of the study and again after 12 months. This study aims to answer the following questions: * Can inflammation in the surrounding fat tissue at the baseline CCTA predict the amount and type of plaque, and the presence of harmful plaque characteristics present after 12 months? (paper 1) * Do changes in inflammation in the surrounding fat tissue from baseline to the 12 months CCTA correlate with the amount and type of plaque and the presence of harmful plaque characteristics at the 12 months CCTA? (paper 1) * Is inflammation in the surrounding fat tissue a predictor for the development of cardiovascular events after a follow-up period of 7 years? (paper 2) * Do changes in inflammation in the surrounding fat tissue after 12 months predict the later development of cardiovascular events after a follow-up period of 7 years? (paper 2)
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Assessment of Change in Atherosclerotic Plaque by Serial CCTA#876767
- Assessing Coronary Non-Culprit Plaque Early with Start of PCSK9 Inhibitors in Acute Myocardial Infarction (ACCESS-AMI)#1128023
- Data Sheet 1_Development and validation of a machine learning-based diagnostic model for obstructive coronary artery disease in hypertensive patients using composite inflammatory and lipid markers.csv#1038775
- Intracoronary Features in the Prognosis of Endothelial Dysfunction and MACES in Population With Acute Coronary Syndrome#889938
- Plaque Stability and Metabolomics in Coronary Heart Disease#828347
Record · ID 832529
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive