CClinicalTrials.gg
Not yet recruitingNCT05702112Updated Aug 21, 2024

Association of Triglyceride-glucose Index With Cardiac Hemodynamics

An observational study in Obesity, sponsored by Assiut University. Not yet recruiting. Open to participants aged 18 Years to 75 Years. Per ClinicalTrials.gov, last updated 2024-08-21.

Sponsored by Assiut University · Observational

From the registry’s dates

  • Primary completion was expected by Mar 2025, 1 year 7 months ago, but the record still lists the study as not yet recruiting.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
100
Ages
18 Years to 75 Years
Sex
All
01

Study summary

  1. To estimate the prevelance of IR in obese patients based on TYG index . 2) To screen early cardiovascular abnormalities in obese asymptomatic patients using conventional echocardiography and electrocardiogram . 3) To detect association of cardiovascular hemodynamics with TyG index . Assess cardiovascular risk in obese patients .
Read the detailed description

Obesity has been a health problem of growing significance all over the world; its prevalence is increasing in both developed and developing countries . According to WHO data, 39% of the global population above 18 years of age are overweight and of these, 13% are obese. Obesity is a chronic (long-term) medical disease. Both overweight (BMI >25 kg/m2) and obesity defined as a ( Body Mass Index, or BMI, of >30 kg/m2) are associated with an increased risk of cardiovascular diseases. This is a consequence on the one hand of obesity itself and on the other hand of associated medical conditions (hypertension, diabetes, insulin resistance ,stroke ,sleep apnea, osteoarthritis, gallstones, high cholesterol, gout, and certain types of cancer ) . Obesity produces a variety of hemodynamic alterations that may cause changes in cardiac morphology which predispose to left and right ventricular dysfunction. Various neurohormonal and metabolic alterations commonly associated with obesity may contribute to these abnormalities of cardiac structure and function. Cardiovascular diseases, including heart failure (HF), atrial fibrillation (AF), and coronary artery disease (CAD), are often associated with obesity. The duration of obesity has a direct impact on the incidence of cardiovascular disease.The triglyceride-glucose (TyG) index is the logarithmized product of fasting triglycerides and fasting glucose and has been proposed as the alternative indicator of IR ( with sensitivity 96.5 % and specificity 85% ) due to its relevance to lipotoxicity and glucotoxicity compared to Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), which is expensive due to insulin measurement .TyG index has demonstrated a close relationship with cardiometabolic outcomes, namely diabetes, arterial stiffness, hypertension, cardiovascular disease (CVD), stroke and obesity-related cancers in previous studies.

02

Conditions studied

  • Obesity

Keywords

  • TyG index
  • Cardiac hemodynamics
03

In context

Lead sponsor

Assiut University is the lead sponsor of 4,901 studies on the registry; 2,098 are open to participants now.

Of its 13 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 75 Years
Sexes eligible
All
Sampling method
Non-probability sample

Study population

obese patients over two years duration

Inclusion criteria

  • The study will include obese patients over two years duration ( Jan 2023 to Jan 2024 )( age above 18 years old ; written consent will be obtained )

Exclusion criteria

Exclusion Criteria:

  • History of heart failure or patient known to have congenital heart disease, primary or secondary myocardial disease .

Medications associated with weight gain . Patients with previous cardiac diseases (arrhythmias - valve disease). patients who have recently used glucocorticoids or antipsychotics. Patients on statins .

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
100 participants (estimated)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. estimate the prevelance of IR in obese patients based on TYG index .

    The triglyceride-glucose (TyG) index is the logarithmized product of fasting triglycerides and fasting glucose and has been proposed as the alternative indicator of IR ( with sensitivity 96.5 % and specificity 85% ) due to its relevance to lipotoxicity and glucotoxicity compared to Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), which is expensive due to insulin measurement

    Time frame: Baseline

  2. screen early cardiovascular abnormalities in obese asymptomatic patients

    Obesity produces a variety of hemodynamic alterations that may cause changes in cardiac morphology which predispose to left and right ventricular dysfunction. Various neurohormonal and metabolic alterations commonly associated with obesity may contribute to these abnormalities of cardiac structure and function

    Time frame: Baseline

Secondary outcomes

  1. detect association of cardiovascular hemodynamics with TyG index .

    TyG index has demonstrated a close relationship with cardiometabolic outcomes, namely diabetes, arterial stiffness, hypertension, cardiovascular disease (CVD), stroke and obesity-related cancers in previous studies.

    Time frame: Baseline

  2. Assess cardiovascular risk in obese patients .

    Cardiovascular diseases, including heart failure (HF), atrial fibrillation (AF), and coronary artery disease (CAD), are often associated with obesity. The duration of obesity has a direct impact on the incidence of cardiovascular disease.

    Time frame: Baseline

07

Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • Zhu B, Wang J, Chen K, Yan W, Wang A, Wang W, Gao Z, Tang X, Yan L, Wan Q, Luo Z, Qin G, Chen L, Mu Y. A high triglyceride glucose index is more closely associated with hypertension than lipid or glycemic parameters in elderly individuals: a cross-sectional survey from the Reaction Study. Cardiovasc Diabetol. 2020 Jul 14;19(1):112. doi: 10.1186/s12933-020-01077-6. PubMed 32664945 ↗
  • Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985 Jul;28(7):412-9. doi: 10.1007/BF00280883. PubMed 3899825 ↗
  • Guerrero-Romero F, Simental-Mendia LE, Gonzalez-Ortiz M, Martinez-Abundis E, Ramos-Zavala MG, Hernandez-Gonzalez SO, Jacques-Camarena O, Rodriguez-Moran M. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab. 2010 Jul;95(7):3347-51. doi: 10.1210/jc.2010-0288. Epub 2010 May 19. PubMed 20484475 ↗
  • Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NM, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DF, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SE, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KM, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJ, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van de Vijver S, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon SJ, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJ, Gakidou E. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014 Aug 30;384(9945):766-81. doi: 10.1016/S0140-6736(14)60460-8. Epub 2014 May 29. Erratum In: Lancet. 2014 Aug 30;384(9945):746. PubMed 24880830 ↗
  • Zhang M, Wang B, Liu Y, Sun X, Luo X, Wang C, Li L, Zhang L, Ren Y, Zhao Y, Zhou J, Han C, Zhao J, Hu D. Cumulative increased risk of incident type 2 diabetes mellitus with increasing triglyceride glucose index in normal-weight people: The Rural Chinese Cohort Study. Cardiovasc Diabetol. 2017 Mar 1;16(1):30. doi: 10.1186/s12933-017-0514-x. PubMed 28249577 ↗
  • Lloyd-Jones DM, Huffman MD, Karmali KN, Sanghavi DM, Wright JS, Pelser C, Gulati M, Masoudi FA, Goff DC Jr. Estimating Longitudinal Risks and Benefits From Cardiovascular Preventive Therapies Among Medicare Patients: The Million Hearts Longitudinal ASCVD Risk Assessment Tool: A Special Report From the American Heart Association and American College of Cardiology. Circulation. 2017 Mar 28;135(13):e793-e813. doi: 10.1161/CIR.0000000000000467. Epub 2016 Nov 4. Erratum In: Circulation. 2017 Mar 28;135(13):e824-e825. doi: 10.1161/CIR.0000000000000492. PubMed 27815375 ↗
  • D'Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, Kannel WB. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008 Feb 12;117(6):743-53. doi: 10.1161/CIRCULATIONAHA.107.699579. Epub 2008 Jan 22. PubMed 18212285 ↗
09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 21, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05702112
Lead sponsor
Assiut University
Responsible party
Michael Hany (Assistant lecturer, Assiut University) — Principal investigator
First posted
Jan 27, 2023
Start date
Sep 2024 (estimated)
Primary completion
Mar 2025 (estimated)
Completion
Apr 2025 (estimated)
Last update
Aug 21, 2024

Study contacts

Michael Hany Shawky
Contact
Michaelhany544@gmail.com
01009431082
Refaat Fathy Abdelaal
Contact
refaatfathy21@gmail.com
01011121526

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Aug 2024. You cannot join it, but the record below documents what was studied.

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