Periaortic fat thickness and cardiovascular risk factors in children with congenital adrenal hyperplasia

Objective: Children with congenital adrenal hyperplasia are considered to be at an elevated risk for cardiovascular morbidity and mortality. The objective of this study was to evaluate the association between periaortic fat thickness and the cardiometabolic profile in children diagnosed with congenital adrenal hyperplasia.Method: A total of 20 children and adolescents with congenital adrenal hyperplasia and 20 healthy control subjects were enrolled in the study. We investigated metabolic and anthropometric parameters, comparing these values to those of the control group. Periaortic fat thickness was assessed using an echocardiographic method that has not previously been applied to paediatric patients with congenital adrenal hyperplasia.Results: The subjects in the congenital adrenal hyperplasia group were significantly shorter than the control subjects (p = 0.021) and exhibited a higher body mass index (p = 0.044) and diastolic blood pressure (p = 0.046). No significant differences were observed between the congenital adrenal hyperplasia group and control subjects concerning age, weight, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol levels. Additionally, dyslipidemia was identified in 5% (N = 1) of the congenital adrenal hyperplasia group. The mean fasting glucose, fasting insulin, homeostasis model assessment of insulin resistance, and fasting glucose-to-fasting insulin ratio were similar between the congenital adrenal hyperplasia group and the control subjects. However, 15% (n = 3) of the congenital adrenal hyperplasia group had insulin resistance. Two children with congenital adrenal hyperplasia (10%) were diagnosed with hypertension. Periaortic fat thickness was significantly greater in the congenital adrenal hyperplasia group compared to the control group (p = 0.000), with measurements of 0.2039 +/- 0.045 mm in the congenital adrenal hyperplasia group and 0.1304 +/- 0.022 mm in the control group. In children with congenital adrenal hyperplasia, periaortic fat thickness exhibited a negative correlation with high-density lipoprotein cholesterol (r = -0.549, p = 0.034) and a positive correlation with the dose of hydrocortisone (r = 0.688, p = 0.001).Results: The subjects in the congenital adrenal hyperplasia group were significantly shorter than the control subjects (p = 0.021) and exhibited a higher body mass index (p = 0.044) and diastolic blood pressure (p = 0.046). No significant differences were observed between the congenital adrenal hyperplasia group and control subjects concerning age, weight, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol levels. Additionally, dyslipidemia was identified in 5% (N = 1) of the congenital adrenal hyperplasia group. The mean fasting glucose, fasting insulin, homeostasis model assessment of insulin resistance, and fasting glucose-to-fasting insulin ratio were similar between the congenital adrenal hyperplasia group and the control subjects. However, 15% (n = 3) of the congenital adrenal hyperplasia group had insulin resistance. Two children with congenital adrenal hyperplasia (10%) were diagnosed with hypertension. Periaortic fat thickness was significantly greater in the congenital adrenal hyperplasia group compared to the control group (p = 0.000), with measurements of 0.2039 +/- 0.045 mm in the congenital adrenal hyperplasia group and 0.1304 +/- 0.022 mm in the control group. In children with congenital adrenal hyperplasia, periaortic fat thickness exhibited a negative correlation with high-density lipoprotein cholesterol (r = -0.549, p = 0.034) and a positive correlation with the dose of hydrocortisone (r = 0.688, p = 0.001).Conclusion: Our results provide further evidence of subclinical cardiovascular disease in children with congenital adrenal hyperplasia. It is crucial to regularly assess cardiometabolic risk in children with congenital adrenal hyperplasia. The measurement of periaortic fat thickness in this population may serve as a valuable tool for identifying individuals at high risk for developing early atherosclerosis.