Triglyceride-Glucose and TGI-BMI Indices Compared With HOMA-IR

November 28, 2025 updated by: Bekir Sami Uyanık, Hisar Intercontinental Hospital

Evaluating the Triglyceride-Glucose Index and TGI-BMI for Insulin Resistance Assessment: A Comparative Study With HOMA-IR

Insulin resistance plays a key role in the development of type 2 diabetes, metabolic syndrome, and heart disease. The most common way to measure insulin resistance is the HOMA-IR index, but it requires fasting insulin tests, which are not always available in clinical practice.

This study aims to assess two simpler and more accessible alternatives: the triglyceride-glucose index (TGI) and its body mass index-adjusted version (TGI-BMI). Data from 150 adult patients were analyzed retrospectively and divided into groups according to their insulin resistance status. Standard laboratory and body measurements were compared between groups, and statistical analyses were used to determine how well TGI and TGI-BMI identify insulin resistance.

The results showed that both TGI and TGI-BMI were closely related to insulin resistance and demonstrated high diagnostic accuracy, similar to HOMA-IR. The TGI-BMI index was particularly effective in individuals with obesity. These findings suggest that TGI and TGI-BMI could serve as practical, low-cost alternatives to HOMA-IR for evaluating insulin resistance in clinical and population settings where insulin testing is not routinely available.

Study Overview

Detailed Description

Insulin resistance (IR) is a central feature of metabolic and cardiovascular disorders, yet the routine measurement of fasting insulin required for HOMA-IR limits its clinical applicability. The triglyceride-glucose index (TGI) and its body mass index-adjusted form (TGI-BMI) have emerged as simple, cost-effective surrogates that rely only on standard biochemical data.

This retrospective study analyzed data from 150 adults evaluated at Hisar Intercontinental Hospital. Participants were categorized into insulin-resistant (HOMA-IR > 2.5) and non-resistant (HOMA-IR < 2.5) groups. Anthropometric and biochemical variables were obtained from medical records. TGI and TGI-BMI values were calculated for each participant, and comparisons were made between groups. Correlation and receiver operating characteristic (ROC) analyses were used to determine the relationship and diagnostic accuracy of these indices relative to HOMA-IR.

The study aims to validate TGI and TGI-BMI as reliable, low-cost indicators of insulin resistance applicable in both clinical and epidemiological settings, especially in laboratories where insulin assays are unavailable. The findings may contribute to improved screening and risk assessment strategies in metabolic disease management.

Study Type

Observational

Enrollment (Actual)

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 Locations

    • Umraniye
      • Istanbul, Umraniye, Turkey (Türkiye), 34768
        • Hisar Intercontinental Hospital

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

Yes

Sampling Method

Non-Probability Sample

Study Population

Adult patients who underwent routine biochemical testing and metabolic evaluation at Hisar Intercontinental Hospital. Data were obtained retrospectively from medical records. Participants were divided into two cohorts based on insulin resistance status determined by HOMA-IR values:

Non-Insulin Resistant (HOMA-IR < 2.5)

Insulin Resistant (HOMA-IR > 2.5)

Description

Inclusion Criteria:

  • Eligible participants were adults aged 18-65 years with complete fasting biochemical and anthropometric data. Only patients who were not receiving antidiabetic medications at the time of evaluation were included.

Exclusion Criteria:

  • Patients were excluded if they had any of the following:

    • Known endocrine disorders (e.g., thyroid dysfunction, Cushing's syndrome)
    • Chronic kidney or liver disease
    • Active infection or systemic inflammatory disease
    • Ongoing use of medications known to affect glucose or lipid metabolism (e.g., corticosteroids, statins, metformin, or insulin)
    • Incomplete or missing laboratory data

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
Group/Cohort 1 Label: Non-Insulin Resistant (Non-IR) Group

Group 1 - Non-Insulin Resistant (Non-IR) Group

Participants with HOMA-IR values below 2.5, classified as non-insulin resistant. Anthropometric and biochemical data (including fasting glucose, triglycerides, and BMI) were analyzed retrospectively to calculate TGI and TGI-BMI indices.

Group/Cohort 2 Label: Insulin Resistant (IR) Group

Group 2 - Insulin Resistant (IR) Group

Participants with HOMA-IR values greater than 2.5, classified as insulin resistant. Anthropometric and biochemical measurements were reviewed from medical records, and TGI and TGI-BMI indices were compared with those of the Non-IR group.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic accuracy of the Triglyceride-Glucose Index (TGI) for detecting insulin resistance
Time Frame: Retrospective data analysis (single time point).
Area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, and specificity of TGI in identifying insulin resistance compared to HOMA-IR (>2.5 as reference).
Retrospective data analysis (single time point).

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic accuracy of the BMI-adjusted Triglyceride-Glucose Index (TGI-BMI)
Time Frame: Retrospective data analysis (single time point).
ROC curve analysis of TGI-BMI compared with HOMA-IR; AUC, sensitivity, specificity values recorded.
Retrospective data analysis (single time point).

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Bekir Sami Uyanık, MD, Prof, Hisar Intercontinental Hospital
  • Study Director: Selami Aydin, MD, Hisar Intercontinental Hospital
  • Study Chair: Süleyman İpekci, Prof, Hisar Intercontinental Hospital and Atlas 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.

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 (Actual)

December 1, 2024

Primary Completion (Actual)

October 20, 2025

Study Completion (Actual)

October 27, 2025

Study Registration Dates

First Submitted

November 18, 2025

First Submitted That Met QC Criteria

November 28, 2025

First Posted (Estimated)

December 3, 2025

Study Record Updates

Last Update Posted (Estimated)

December 3, 2025

Last Update Submitted That Met QC Criteria

November 28, 2025

Last Verified

November 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Sharing Time Frame

Participant data (PD) and supporting information will be available starting from the date of publication of the study results. The data will remain accessible for a period of 5 years after publication.

IPD Sharing Access Criteria

Access to the Individual Participant Data (IPD) and supporting information will be limited to authorized members of the study team and independent researchers who submit a formal request for scientific evaluation. Accessible materials will include the de-identified IPD dataset, study protocol, and relevant analysis outputs

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • CSR

Study Data/Documents

  1. Individual participant data will not be shared because the study is retrospective and based on anonymized medical records.
    Information identifier: no identifier available
    Information comments: This publication provides background evidence supporting the evaluation of triglyceride-glucose-based indices as markers of insulin resistance.

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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