NCT06452121

Brief Summary

Triglyceride glucose (TyG) index is a novel marker, which has been demonstrated to have a high sensitivity and specificity in identifying metabolic syndrome . Previous studies have shown that TyG index is associated with carotid atherosclerosis, coronary artery calcification and high risk of CVD. This study aims to predict severity of CAD using TyG index and its correlation to coronary angiography findings.

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
150

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Sep 2024

Shorter than P25 for all trials

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 5, 2024

Completed
6 days until next milestone

First Posted

Study publicly available on registry

June 11, 2024

Completed
3 months until next milestone

Study Start

First participant enrolled

September 1, 2024

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2025

Completed
Last Updated

August 5, 2024

Status Verified

August 1, 2024

Enrollment Period

1 year

First QC Date

June 5, 2024

Last Update Submit

August 1, 2024

Conditions

Keywords

triglyceride-glucose index

Outcome Measures

Primary Outcomes (1)

  • Predict severity of coronary artery disease change in Triglyceride glucose (TyG) index

    Predict severity of coronary artery disease using Triglyceride glucose (TyG) index and its correlation to coronary angiography findings

    cases during 1 year of the study

Study Arms (2)

Diabetic patients

to know severity of coronary artery disease using Triglyceride glucose (TyG) index in diabetic patients comparing it with non diabetic

Other: triglyceride glucose index

Non diabetic patients

to know severity of coronary artery disease using Triglyceride glucose (TyG) index in non diabetic patients

Other: triglyceride glucose index

Interventions

The TyG index was calculated using the following equation: Ln \[TG (mg/dL)×FPG (mg/dL) / 2\]. CAD was referred to as at least one major coronary artery with≥50% stenosis evaluated by CAG

Diabetic patientsNon diabetic patients

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Adult patients above 18 years old presenting with either with ACS undergoing coronary angiography or Ischemic heart disease patients undergoing elective coronary angiography.

You may qualify if:

  • Adult patients above 18 years old presenting with either with ACS undergoing coronary angiography or Ischemic heart disease patients undergoing elective coronary angiography.

You may not qualify if:

  • Pregnant or lactating women
  • Patients with previous intravenous thrombolysis,
  • Long -term use of statins or other lipid-regulating drugs
  • Myocarditis

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (2)

  • Geng X, Zhang X, Li X, Zhong C, Hou M. Triglyceride-glucose Index as a Valuable Marker to Predict Severity of Coronary Artery Disease: A Retrospective Cohort Study. Clin Appl Thromb Hemost. 2024 Jan-Dec;30:10760296241234320. doi: 10.1177/10760296241234320.

    PMID: 38444211BACKGROUND
  • Jin JL, Cao YX, Wu LG, You XD, Guo YL, Wu NQ, Zhu CG, Gao Y, Dong QT, Zhang HW, Sun D, Liu G, Dong Q, Li JJ. Triglyceride glucose index for predicting cardiovascular outcomes in patients with coronary artery disease. J Thorac Dis. 2018 Nov;10(11):6137-6146. doi: 10.21037/jtd.2018.10.79.

    PMID: 30622785BACKGROUND

MeSH Terms

Conditions

Coronary Artery Disease

Condition Hierarchy (Ancestors)

Coronary DiseaseMyocardial IschemiaHeart DiseasesCardiovascular DiseasesArteriosclerosisArterial Occlusive DiseasesVascular Diseases

Study Officials

  • Fatma M Abdelaziz

    Assiut University

    STUDY CHAIR

Central Study Contacts

Fatma M Abdelaziz

CONTACT

Alaa Abdelmonem

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Lecturer

Study Record Dates

First Submitted

June 5, 2024

First Posted

June 11, 2024

Study Start

September 1, 2024

Primary Completion

September 1, 2025

Study Completion

September 1, 2025

Last Updated

August 5, 2024

Record last verified: 2024-08