Detection of Coronary Artery Calcifications by Whole Blood Transcriptome Analyzed by Artificial InTelligence Algorithms : Detection of Coronary Artery Calcifications by Whole Blood Transcriptome Analyzed by Artificial InTelligence Algorithms. (CAC-TRAIT Study)

This study will be a prospective observational single-site study. A convenience sample will be carried out to include 800 patients who attend the Clinic, to undergo a cardiac CT without contrast (coronary calcium score), either for a medical indication or volunteers for an assessment of cardiovascular risk. The study will have a baseline stage in which a clinical evaluation will be performed, blood samples will be drawn for transcriptome analysis and laboratory analysis. Then, a DNA sample obtained by swabbing the buccal mucosa will be taken. Subsequently, a non-contrast gated cardiac CT will be performed to assess the presence and extent of coronary calcification and other outcomes of interest. At the end of patient enrollment, biological samples will be sequenced for in silico evaluation of the results. Finally, a 5-year clinical (telephone) follow-up will be carried out to collect data on the incidence of fatal and non-fatal cardiovascular events..

Medienart:

Klinische Studie

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

ClinicalTrials.gov - (2024) vom: 20. März Zur Gesamtaufnahme - year:2024

Sprache:

Englisch

Links:

Volltext [kostenfrei]

Themen:

610
Atherosclerosis
Coronary Artery Disease
Myocardial Ischemia
Plaque, Atherosclerotic
Recruitment Status: Completed
Study Type: Observational

Anmerkungen:

Source: Link to the current ClinicalTrials.gov record., First posted: November 16, 2022, Last downloaded: ClinicalTrials.gov processed this data on March 27, 2024, Last updated: March 27, 2024

Study ID:

NCT05619042
CCT2

Veröffentlichungen zur Studie:

fisyears:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

CTG000128554