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Original Article | Volume 12 Issue 9 (September, 2026) | Pages 843 - 852
Assessment Of Insulin Resistance Using Homa-Ir And Its Association With Cardiovascular Risk In Adults With Type 2 Diabetes Mellitus: A Cross-Sectional Study
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1
Assistant Professor, Department of General Medicine, Rangaraya Medical College, Kakinada, Andhra Pradesh, India
2
Associate Professor, Department of General Medicine, Government Medical College, Rajamahendravaram, Andhra Pradesh, India.
3
Assistant Professor, Department of General Medicine, Rangaraya Medical College, Kakinada, Andhra Pradesh, India.
4
Assistant Professor, Department of General Medicine, Rangaraya Medical College, Andhra Pradesh, India
5
Senior Health Consultant, Department of Community Medicine, Myna Mahila Foundation, Andhra Pradesh, India.
Under a Creative Commons license
Open Access
Received
Aug. 5, 2026
Revised
Aug. 20, 2026
Accepted
Sept. 6, 2026
Published
Sept. 26, 2026
Abstract
Background: Insulin resistance is a central metabolic abnormality in type 2 diabetes mellitus (T2DM) and contributes to adverse cardiovascular risk profiles. The Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) provides a simple estimate of insulin resistance, but its utility as a standalone marker of cardiovascular risk remains uncertain. Objective: To assess insulin resistance using HOMA-IR and examine its association with 10-year atherosclerotic cardiovascular disease (ASCVD) risk in adults with and without T2DM. Methods: This hospital-based cross-sectional study included 200 adults aged 40-75 years, comprising 100 non-diabetic controls and 100 patients with T2DM. Fasting plasma glucose, fasting insulin, HbA1c, and lipid profile were measured. HOMA-IR was calculated using fasting glucose and insulin, with a cutoff of ≥1.9 used to define insulin resistance. Cardiovascular risk was estimated using the 10-year ASCVD risk score. Correlation, receiver operating characteristic (ROC) curve, and logistic regression analyses were performed. Results: Mean HOMA-IR was significantly higher in participants with T2DM than in controls (4.02 ± 5.72 vs. 2.04 ± 2.04; p=0.001), and insulin resistance was present in 67% and 33%, respectively (p<0.001). Mean 10-year ASCVD risk was also significantly higher in the T2DM group (11.27 ± 9.37% vs. 4.75 ± 6.90%; p<0.001). HOMA-IR correlated significantly with fasting plasma glucose, HbA1c, triglycerides, and BMI, but showed no significant association with ASCVD risk within either study group. In the total cohort, the Spearman correlation between HOMA-IR and ASCVD score was weak (ρ=0.146; p=0.040). ROC analysis demonstrated poor discrimination of high ASCVD risk (≥20%) by HOMA-IR in the total population (AUC=0.532), with similarly limited performance in the diabetic subgroup (AUC=0.432). Conclusion: HOMA-IR effectively identified greater metabolic dysfunction and insulin resistance among adults with T2DM but showed poor standalone ability to discriminate high 10-year ASCVD risk. HOMA-IR may therefore be useful as a metabolic marker but should complement, rather than replace, established cardiovascular risk assessment tools.
Keywords
INTRODUCTION
Type 2 Diabetes Mellitus (T2DM) has become one of the most pressing global health concerns, with its prevalence rising steadily across populations and contributing substantially to cardiovascular morbidity and mortality (1). At the core of this condition lies insulin resistance, a state in which tissues fail to respond adequately to insulin, resulting in impaired glucose uptake and chronic metabolic imbalance (2). The Homeostatic Model Assessment of Insulin Resistance (HOMA IR), derived from fasting glucose and insulin levels, is a simple, validated, and cost effective tool in both clinical practice and epidemiological research (3,4). Cardiovascular disease (CVD) remains the leading cause of death among individuals with diabetes, and insulin resistance is increasingly recognized as a central driver of this risk (5). It contributes to endothelial dysfunction, oxidative stress, platelet activation, and low grade inflammation, all of which accelerate atherosclerosis (6). In addition, the dyslipidemia characteristic of insulin resistance—marked by elevated triglycerides, reduced HDL cholesterol, and small dense LDL particles—further amplifies cardiovascular risk (7). Metabolomic studies have also highlighted lipid intermediates such as lysophosphatidylcholines, which correlate with oxidative stress and arterial stiffness, reinforcing the vascular impact of insulin resistance (8). Evidence from prospective studies shows that HOMA IR is independently associated with cardiovascular events, even after adjustment for conventional risk factors (9). Meta analyses confirm its predictive value, often surpassing fasting glucose or insulin alone in forecasting coronary heart disease (10). Population based studies have established cut off values that vary by age, sex, and ethnicity, underscoring the importance of contextualized thresholds (11,12). Indian studies have further refined these cut offs, emphasizing the unique metabolic risk profile of South Asian populations (13,14,15). Early studies established a strong link between insulin resistance and subclinical cardiovascular disease, while more recent evidence has confirmed its predictive role in cardiometabolic risk across diverse populations.(16,17) Although HOMA IR is a valuable marker of insulin resistance, it is not yet routinely incorporated into cardiovascular risk assessment. Integrating this index with established ASCVD risk scores and the newer Cardiovascular-kidney-metabolic (CKM) syndrome staging has been suggested as a practical way to identify patients at higher risk (18). Detecting insulin resistance early provides an opportunity for timely lifestyle changes and pharmacological treatment, which can significantly reduce the long term burden of cardiovascular disease (19,20). This study therefore aims to assess insulin resistance using HOMA IR in patients with T2DM and to explore its association with cardiovascular risk, as quantified by ASCVD scores. By bridging metabolic and cardiovascular parameters, the research seeks to establish HOMA IR as a clinically relevant marker for individualized preventive care in diabetes.
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