TyG Index as a Marker to Predict Severity of Coronary Artery Disease

August 1, 2024 updated by: Fatma Mohamed Mohsen Abdelaziz, Assiut University

Triglyceride-glucose Index as a Marker to Predict Severity of Coronary Artery Disease

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.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

Coronary artery disease (CAD) is characterized by vulnerable atherosclerotic plaque, which causes coronary stenosis and myocardial ischemia. The blockage of the blood vessel caused by the detachment of the endovascular plate leads to an acute CAD attack. Without timely intervention, this can be life-threatening for the patient. Currently, coronary angiography (CAG) is the reference standard for diagnosing CAD with inconclusive evidence to confirm the morbid state. Although it assesses the severity of coronary vascular occlusion, this technique is invasive and carries inherent risks.

Hypertriglyceridemia (HTG) is a common dyslipidemia and the association of triglyceride (TG) with CVD risk remains controversial . However, judging from a credible body of evidence, we can conclude that HTG is an independent risk factor of developing glucose metabolism disorders. Plasma TG levels are strongly associated with raised glucose levels because of the interactions between fat, muscle and function of pancreatic β-cells .

Moreover, accumulation of TG in the liver may cause fatty liver disease, which can increase the risk of type 2 diabetes mellitus (T2DM) . Prospective studies have revealed that plasma TG is an independent risk factor for developing T2DM . Additionally, it has been demonstrated that lowering TG, such as fibrates do, can significantly attenuate the process of developing insulin resistance . Furthermore, it also has been reported that both fasting glucose and TG within the high normal range may predict CVD risk . Hence, evaluating the joint value of TG and fasting glucose in patients with stable coronary artery disease (CAD) may be clinically in need.

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.

Several studies demonstrated that the TyG index has a positive relevance with type 2 diabetes, Insulin resistence ,subclinical myocardial injury,and acute coronary syndrome (ACS). A higher TyG index correlates with a greater incidence of major adverse cardiovascular events in patients with diabetes and ACS, indicating its potential as an independent predictor for cardiovascular disease prognosis.

A recent large-scale prospective study suggested that the TyG index is an independent predictor for the progression of coronary artery calcification, especially in individuals without heavy coronary artery calcification at baseline . Moreover, an increased TyG index has been shown to be independently associated with higher risks of atherosclerotic cardiovascular diseases, including myocardial infarction, and worse prognosis in patients with ACS, irrespective of diabetes mellitus .

This study aims to predict severity of CAD using TyG index and its correlation to coronary angiography findings.

Study Type

Observational

Enrollment (Estimated)

150

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Alaa Abdelmonem
  • Phone Number: 01112732730

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-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.

Description

Inclusion Criteria:

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

Exclusion Criteria:

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
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

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

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Predict severity of coronary artery disease change in Triglyceride glucose (TyG) index
Time Frame: cases during 1 year of the study
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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Assiut University

Investigators

  • Study Chair: Fatma M Abdelaziz, Assiut University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

September 1, 2024

Primary Completion (Estimated)

September 1, 2025

Study Completion (Estimated)

September 1, 2025

Study Registration Dates

First Submitted

June 5, 2024

First Submitted That Met QC Criteria

June 5, 2024

First Posted (Actual)

June 11, 2024

Study Record Updates

Last Update Posted (Estimated)

August 5, 2024

Last Update Submitted That Met QC Criteria

August 1, 2024

Last Verified

August 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • TyG index and CAD

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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