Evaluation of indirect indices in the insulin resistance assessment in patients with different body mass index

• DOI: 10.17532/jhsci.2024.2673
• Publication Date: 2024-10-21T07:40:53Z
• Authors: Lejla Čano Dedić; Arzija Pašalić; Emsel Papić; Emir Begagić; Sabina Šečić Seli...; Mario Gazibarić; Sabina Šegalo
• Keywords: Dynamics

Introduction: Insulin resistance (IR) is a complex pathophysiological condition multifactorial etiology characterized by diminished responsiveness of insulin target tissues. Today, various diagnostic approaches involving different laboratory parameters are available, but simple and non-invasive indices based on mathematical models increasingly used in practice. This study aims to assess the effectiveness clinical surrogate predicting IR across population with varying body weights. Methods: The matched case-control was conducted between January 2021 December 2022. Secondary data extracted from medical records 129 subjects analyzed, including demographic characteristics (age gender), anthropometric measures (height weight), biochemical test results. y further divided into two subgroups mass index (BMI): overweight (BMI 25 29.9 kg/m2) obese 30 kg/m2 or higher). Using values for six widely markers were calculated: Homeostatic model assessment (HOMA-IR), quantitative sensitivity check (QUICKI), Mcauley (MCAi), metabolic score (METS-IR), Triglyceride Glucose Index (TyG), TyG BMI (TyG-BMI). Results: Significant differences HOMA-IR levels observed groups (p < 0.001). A similar pattern found TyG-BMI, notable participants had highest mean METS-IR while control group QUICKI MCAi According analysis, three showed statistical significance independent 0.05). Sensitivity specificity higher (0.704 0.891) than (0.631 0.721). Conclusion: Given that disease, using derived combination indicators can significantly aid mitigating numerous complications.