Relationship Between Insulin Resistance Indicators and Type 2 Diabetes Mellitus in Romania
Adela Gabriela Ștefan, Diana Clenciu, Ionela Mihaela Vladu, Adina Mitrea, Diana Cristina Protasiewicz-Timofticiuc, Maria Magdalena Roșu, Theodora-Claudia Gheonea, Beatrice-Elena Vladu, Ion Cristian Efrem, Delia Reurean‐Pintilei, Eugen Moța, Maria Moța
Abstract
Diabetes mellitus (DM) is a complex chronic disease, with a prevalence that has reached alarming proportions in recent decades. In this study, we aimed to analyze the association of type 2 diabetes mellitus (T2DM) with certain insulin resistance (IR) indicators, according to the gender of the participants enrolled in the PREDATORR study. Biomarkers such as the triglyceride-glucose (TyG) index and its derivates, triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-c), and metabolic score for insulin resistance (METS-IR), as well as recent indicators, like cholesterol, HDL, the glucose (CHG) index and its derivates, CHG-body mass index (CHG-BMI), and CHG-waist circumference (CHG-WC), as well as its newly proposed derivates, such as CHG-waist-to-height ratio (CHG-WHtR), CHG-neck circumference (CHG-NC), and CHG-neck-to-height ratio (NHtRs were analyzed in 2080 subjects, divided into two groups, according to gender). Univariate and multivariate logistic regression was used to identify the relationships between IR indicators and T2DM. Regardless of gender, all the analyzed indicators presented statistically significantly higher values in T2DM (+) compared to T2DM (-). For both studied groups, CHG-WHtR had the largest AUROC curve: in males, the AUROC curve was 0.809, the cut-off value being 3.22, with a 70.7% sensitivity and 75.3% specificity; in females, the AUROC curve was 0.840, the cut-off value was 3.20, with a 79.3% sensitivity and 75.5% specificity, respectively. Regardless of gender, the age-adjusted model for multivariate logistic regression analysis demonstrated that TyG and CHG were predictive factors for T2DM.