Association of cardiorenal risk predictors in patients with different phenotypes of early carbohydrate metabolism disorders
Year: 2025, volume 21 Issue: №3 Pages: 288-294
Heading: Endocrinology Article type: Original article
Authors: Isakova D.N., Troshina I.A., Butareva M.M., Royuk V.V., Petrov I.M.
Organization: First Moscow State Medical University n.a. I.M. Sechenov, Tyumen State Medical University
Heading: Endocrinology Article type: Original article
Authors: Isakova D.N., Troshina I.A., Butareva M.M., Royuk V.V., Petrov I.M.
Organization: First Moscow State Medical University n.a. I.M. Sechenov, Tyumen State Medical University
Summary:
Objective: to identify associations of cardiorenal risk predictors with prediabetes with various phenotypes of early carbohydrate metabolism disorders in patients. Material and methods. Across-sectional cohort study of 122 patients with prediabetes was conducted in the city of Tyumen. The average age of the subjects was 46.2±8.2 years. The role of cardiovascular risk predictors and early renal damage in the development of total cardiorenal events during the year was studied. The degree of association of parameters and conditions was estimated in the values of odds ratio indicators. Results. The most significant contribution to the development of combined early carbohydrate metabolism disorders: impaired fasting glycemia (IFG) and impaired glucose tolerance (IGT) was demonstrated by insulin sensitivity index QUICKI (p=0.036), interleukin-1(3 level (p=0.021), high-sensitivity C-reactive protein (p=0.031), cystatin С in urine (p=0.002), and C-peptide (p=0.039). The phenotype of patients with early carbohydrate metabolism disorders combining IFG and IGT was characterized by a 1.5-fold increase in the risk of developing combined cardiorenal events. Conclusion. The combination of IFG and IGT in the group of patients with early carbohydrate metabolism disorders demonstrates an increased risk of cardiorenal events, which requires a differentiated approach to the development of an algorithm for managing patients with different phenotypes of prediabetes.
Keywords: early carbohydrate metabolism disorders, prediabetes phenotypes, predictors of cardiorenal risk
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