Triglyceride-Glucose and TGI-BMI Indices Compared With HOMA-IR
Evaluating the Triglyceride-Glucose Index and TGI-BMI for Insulin Resistance Assessment: A Comparative Study With HOMA-IR
1 other identifier
observational
150
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Dec 2024
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 20, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
October 27, 2025
CompletedFirst Submitted
Initial submission to the registry
November 18, 2025
CompletedFirst Posted
Study publicly available on registry
December 3, 2025
CompletedDecember 3, 2025
November 1, 2025
11 months
November 18, 2025
November 28, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Diagnostic accuracy of the Triglyceride-Glucose Index (TGI) for detecting insulin resistance
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 Outcomes (1)
Diagnostic accuracy of the BMI-adjusted Triglyceride-Glucose Index (TGI-BMI)
Retrospective data analysis (single time point).
Study Arms (2)
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.
Eligibility Criteria
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)
You may qualify if:
- 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.
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hisar Intercontinental Hospital
Istanbul, Umraniye, 34768, Turkey (Türkiye)
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- 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
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor of Clinical Biochemistry, Hisar Intercontinental Hospital
Study Record Dates
First Submitted
November 18, 2025
First Posted
December 3, 2025
Study Start
December 1, 2024
Primary Completion
October 20, 2025
Study Completion
October 27, 2025
Last Updated
December 3, 2025
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, CSR
- 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.
- 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