Evaluating the Triglyceride-Glucose Index and TGI-BMI for Insulin Resistance Assessment: A Comparative Study With HOMA-IR
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 150
- 试验地点
- 1
- 主要终点
- Diagnostic accuracy of the Triglyceride-Glucose Index (TGI) for detecting insulin resistance
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •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.
排除标准
- •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
结局指标
主要结局
Diagnostic accuracy of the Triglyceride-Glucose Index (TGI) for detecting insulin resistance
时间窗: 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).
次要结局
- Diagnostic accuracy of the BMI-adjusted Triglyceride-Glucose Index (TGI-BMI)(Retrospective data analysis (single time point).)
研究者
Bekir Sami Uyanık
Professor of Clinical Biochemistry, Hisar Intercontinental Hospital
Hisar Intercontinental Hospital