Triglyceride-Glucose Indices and Left Ventricular Speckle Tracking in Predicting Coronary Artery Disease Severity
NCT ID: NCT07063628
Last Updated: 2025-07-16
Study Results
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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COMPLETED
508 participants
OBSERVATIONAL
2025-04-30
2025-07-03
Brief Summary
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Detailed Description
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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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Study Design
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CASE_CONTROL
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.
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.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
38 Years
80 Years
ALL
No
Sponsors
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Tanta University
OTHER
Damanhour University
OTHER
Responsible Party
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Rehab Werida
Associate Professor
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
Countries
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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.
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.
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.
Other Identifiers
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Predicting CAD Severity
Identifier Type: -
Identifier Source: org_study_id
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