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Updated: Jan 2, 2026

A Novel Method: Super-selective Adrenal Venous Sampling
Published on: September 15, 2017
Glucose and lipid abnormalities in patients with adrenal incidentalomas
V R Vukomanovic1, V D Ignjatovic, O Mihaljevic
1University of Kragujevac, Serbia, Faculty of medical sciences, Department of Nuclear Medicine, Zmaj Jovina 30, 34 000 Kragujevac, Serbia. vesnaivladaignjatovic@gmail.com.
Abstract:
Adrenal incidentalomas (AI), defined as masses detected during imaging procedures of non-adrenal disorders, have become a common clinical problem that appear to have impairment of glucose and lipid metabolism.
Patients And Methods:
One hundred and ten patients (mean 53.5 age; 24-72), who were diagnosed with functioning and non-functioning AI, were assessed. Patients with hormone-secreting AI underwent biochemical evaluation regarding metabolic disorders. Data about hormone status (cortisol profile and DEX screening test), lipid profile, glycemia, insulinemia were evaluated.
Results:
This prospective study included 41 (37.28%) patients with non-functional and 69 (62.72%) with functional AI. Tumors associated with (sub)clinical Cushing's syndrome (functional AI) are considered to have higher cortisol concentration at 8h (p=0.027), 16h (p=0.025) and after DEX screening (p<0.010), compared to the controls. Patients with cortisol-secreting AI have significantly higher concentrations of cholesterol (p=0.040), triglycerides (p=0.027) and insulin (p<0.01) than controls. The patients with metabolic disorders have a significantly higher total cholesterol, triglyceride and insulin concentration (p<0.001) compared to controls. There was significant positive correlation between cortisol concentration after DEX screening and total cholesterol (r=0.727, p=0.007), triglycerides (r=0.564, p=0.041) and insulin (r=0.957, p=0.043) in the group with metabolic disorders.
Conclusion:
The present study demonstrates the patients with functional AI have significantly higher lipid, glucose and insulin concentration than controls. There was a significant positive correlation between metabolic parameters and cortisol concentration.
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