Abstract

Cardiovascular diseases are a leading cause of death globally, with Ukraine experiencing a mortality rate of 64.3% in 2019, predominantly affecting men. Aortic aneurysms, assessed by aorta diameter, are significant among these diseases. While computed tomography (CT) is the gold standard for diagnosing aortic syndromes, there's a lack of comprehensive data on aortic morphometrics in Ukraine, particularly in men. This research aims to bridge this gap by analyzing CT-derived data on the ascending aorta in Ukrainian men. Aim. To enhance diagnostic accuracy and guide treatment strategies, including surgical interventions, by understanding the correlation between aortic morphology, age, and anthropometric variables in this high-risk demographic. Materials and methods. The study used DICOM images from computed tomography angiography of the aorta with contrast enhancement and ECG synchronization. Methods included anthropometric assessments, CT imaging, and statistical analysis. The study involved 62 male subjects without heart or ascending aorta pathology. Data included age, body length, and weight, which were used to calculate BMI and BSA. Diameter measurements of the aorta were taken at specific levels: the aortic ring, aortic sinus, sinotubular junction, maximum diameter of the ascending aorta, mid-section of the ascending aorta, and just before the brachiocephalic trunk departure. Statistical analyses employed the Student's t-test and Pearson's correlation analysis, with a significance level of p<0.05. Results. The study encompassed 62 male subjects without cardiovascular pathology, with an average age of 52.56±13.52 years, average body length of 1.76±0.07 m, average body weight of 84.74±14.14 kg, average BMI of 27.54± 4.74 kg/m², and BSA of 2.03±0.18 m². A moderate positive correlation between age and aortic diameter was observed, ranging from +0.35 for the average diameter of the aorta at the aortic ring level to +0.57 for the maximum diameter of the aorta (p<0.05). However, no significant correlations were found between aortic diameters and body height in men (p>0.05). Notably, a moderate positive correlation was observed between body weight and aortic diameter at the sinotubular junction level (r=+0.61, p<0.001) and the aortic sinus level (r=+0.34, p= 0.027). Furthermore, an increase in aortic diameter at the sinotubular junction level was significantly correlated with an increase in BMI (r=+0.59, p<0.001) and BSA (r=+0.57, p<0.001). Additionally, body surface area demonstrated a significant positive correlation with an aortic diameter at the aortic sinus level, exhibiting a moderate positive correlation (r=+0.35, р=0.023). Men with a BMI of 25 kg/m² or higher (n=45) showed significantly larger aortic diameters at almost all levels (excluding the aortic ring diameter) compared to those with lower BMIs (р<0.05). Conclusions. CT-morphometric indicators of the diameter of the aorta in men normally increase with age. Body weight is directly correlated with the diameter of the aorta at the level of the sinotubular junction and aortic sinuses. In men with excess body weight and obesity, larger values of the diameters of the aorta were established at all studied levels, except for the level of the sinotubular junction.

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