Triglyceride-Glucose Indices and Left Ventricular Speckle Tracking in Predicting Coronary Artery Disease Severity

NCT ID: NCT07063628

Last Updated: 2025-07-16

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

508 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-04-30

Study Completion Date

2025-07-03

Brief Summary

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Our study specifically will address the value of modified triglyceride glucose indices versus left ventricular speckle tracking in prediction of severity of coronary artery disease assessed by Gensini score.

Detailed Description

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A cross sectional study that will be conducted in Cardiovascular Department of Tanta University in Egypt in the period from May to July 2025 . Two hundred patients diagnosed with coronary artery diseases were included in the study. Patients were considered to have confirmed coronary artery disease through angiographically proven CAD.

Provision of privacy:

Privacy of all data is guaranteed and there will be a code number for every patient and include all of his or her investigations.

Informed consent:

Informed written consent will be obtained from all patients after full explanation of benefits and risks of the study.

Methods: Study patients and procedures:

Selection criteria included any patient with chronic stable angina and proved coronary artery disease by coronary angiography Exclusion criteria included: Any patients with acute coronary syndrome, arrhythmias, previous Percutaneous coronary intervention (PCI) or Coronary Artery Bypass Graft (CABG) surgery

All the participants were subjected to following:

1. History taking for presence of risk factors of cardio vascular disease as age, sex, smoking, physical inactivity, diabetes and hypertension.
2. Physical examination including height, weight and waste circumference
3. Resing 12 leads ECG
4. Laboratory investigations:

* Fasting blood glucose (FBG)
* Triglyceride (TG), TG index.
* Total Cholesterol level
* Renal Function test . Echocardiographic evaluation

6\. Coronary angiography 7. Gensini score calculated by summation of the individual coronary segment scores.

Conditions

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Coronary Artery Disease

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Interventions

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TyG-derived index.

Derived indices included:

* Ty,G×B,M,I = TyG index × body mass index
* TyG×W,C = TyG index × waist circumference
* TyG×WH,tR = TyG index × waist-to-height ratio Quartile-based stratification was applied to each TyG-derived index.

Intervention Type DIAGNOSTIC_TEST

Left Ventricular Speckle Tracking

Coronary Angiography and Gensini Scoring: All participants underwent standard diagnostic coronary angiography. CAD was categorized as one-, two-, or three-vessel disease based on the number of vessels with ≥50% stenosis. The severity of CAD was quantified using the Gensini score, which assigns a severity weight to each lesion depending on degree of stenosis and anatomical location. Final scores were calculated by summing weighted values across all coronary segments.

Intervention Type DIAGNOSTIC_TEST

Other Intervention Names

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TG index Echocardiographic Assessment

Eligibility Criteria

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Inclusion Criteria

* diagnosis of CAD with ≥50% stenosis in at least one major coronary artery.

Exclusion Criteria

* Patients with acute coronary syndrome, arrhythmias, previous coronary interventions (PCI or CABG), or inability to undergo echocardiographic assessment.
Minimum Eligible Age

38 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Tanta University

OTHER

Sponsor Role collaborator

Damanhour University

OTHER

Sponsor Role lead

Responsible Party

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Rehab Werida

Associate Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Eman Elshaikh, Ass. Prof.

Role: PRINCIPAL_INVESTIGATOR

Tanta University

Locations

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Rehab Hussein Werida

Damanhūr, Elbehairah, Egypt

Site Status

Countries

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Egypt

References

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Siverio-Morales O, Mora-Fernandez C, Hernandez-Carballo C, Martin-Nunez E, Gonzalez-Luis A, Martin-Olivera A, Navarro-Gonzalez JF, Donate-Correa J. Predictive value of triglyceride-glucose index for the evaluation of coronary artery disease severity and occurrence of major adverse cardiovascular events. Am J Physiol Heart Circ Physiol. 2025 Jan 1;328(1):H14-H20. doi: 10.1152/ajpheart.00684.2024. Epub 2024 Nov 19.

Reference Type BACKGROUND
PMID: 39560964 (View on PubMed)

Lopez-Jaramillo P, Gomez-Arbelaez D, Martinez-Bello D, Abat MEM, Alhabib KF, Avezum A, Barbarash O, Chifamba J, Diaz ML, Gulec S, Ismail N, Iqbal R, Kelishadi R, Khatib R, Lanas F, Levitt NS, Li Y, Mohan V, Mony PK, Poirier P, Rosengren A, Soman B, Wang C, Wang Y, Yeates K, Yusuf R, Yusufali A, Zatonska K, Rangarajan S, Yusuf S. Association of the triglyceride glucose index as a measure of insulin resistance with mortality and cardiovascular disease in populations from five continents (PURE study): a prospective cohort study. Lancet Healthy Longev. 2023 Jan;4(1):e23-e33. doi: 10.1016/S2666-7568(22)00247-1. Epub 2022 Dec 12.

Reference Type BACKGROUND
PMID: 36521498 (View on PubMed)

Zhao S, Yu S, Chi C, Fan X, Tang J, Ji H, Teliewubai J, Zhang Y, Xu Y. Association between macro- and microvascular damage and the triglyceride glucose index in community-dwelling elderly individuals: the Northern Shanghai Study. Cardiovasc Diabetol. 2019 Jul 25;18(1):95. doi: 10.1186/s12933-019-0898-x.

Reference Type BACKGROUND
PMID: 31345238 (View on PubMed)

Other Identifiers

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Predicting CAD Severity

Identifier Type: -

Identifier Source: org_study_id

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